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Original article
Sociodemographic characteristics as risk factors for obesity and overweight in Spanish adult population
Características sociodemográficas como factores de riesgo para la obesidad y el sobrepeso en la población adulta española
María Marqueta de Salasa,b,
Corresponding author
mmarqueta@hotmail.com

Corresponding author.
, José Javier Martín-Ramiroa,b, José Juan Juárez Sotoc
a Servicio de Cirugía General y Aparato Digestivo, Hospital Universitario Severo Ochoa, Leganés, Madrid, Spain
b Facultad de Ciencias de la Salud, Universidad Alfonso X el Sabio, Villanueva de la Cañada, Madrid, Spain
c Fundación San Pablo CEU Andalucía, Sevilla, Spain
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    "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">The relationship between obesity and the development of certain chronic diseases such as ischemic heart disease&#44; hypertension&#44; diabetes&#44; dyslipidaemia and certain types of cancer and its impact on premature mortality&#44; decreased quality of life and increased health spending makes obesity a major public health problem&#44; aggravated by the fact that its increasing prevalence has reached epidemic numbers&#46; A report published by the Organisation for Economic Co-operation and Development in 2010 examined the characteristics of the current obesity epidemic and its main consequences&#44; noting that obese people die 8&#8211;10 years earlier than those with normal weight&#44; and that spending on healthcare for people with obesity is 25&#37; higher than that of normal-weight people&#46;<a class="elsevierStyleCrossRef" href="#bib0150"><span class="elsevierStyleSup">1</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">According to a report by the World Health Organization &#40;WHO&#41;&#44; in 2008 the world had 310 million obese and 1700 million overweight people&#46;<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">2</span></a> In 2014 these figures increased&#44; reaching 600 million people in the case of obesity and 1900 million for overweight&#46;<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">3</span></a> In Europe&#44; the trend is similar&#44; noting increasing levels in the prevalence of obesity in different countries in the period between 1975 and 2005&#46;<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">4</span></a> In Spain&#44; in 1987&#44; the prevalence of obesity in adults over the age of 20 was 7&#46;7&#37; according to data from the National Health Survey &#40;NHS&#41;&#44; a figure that doubled in 2001&#44; reaching 13&#46;6&#37;&#46;<a class="elsevierStyleCrossRef" href="#bib0170"><span class="elsevierStyleSup">5</span></a> In 2006&#44; the prevalence of obesity was 15&#46;6&#37; according to data from the National Statistics Institute based on that year&#39;s National Health Survey&#46;</p><p id="par0015" class="elsevierStylePara elsevierViewall">Between 2000 and 2006&#44; an ecological study of 105 countries was conducted by analysing the prevalence of overweight and its relationship to the human development index&#44; a tool developed by the United Nations in 1999&#44; finding that a higher GDP&#44; a politically stable situation&#44; a higher educational level and ease of access to food is directly associated with a higher prevalence of overweight&#46;<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">6</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">In Spain&#44; the ERICE<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">7</span></a> study found in 2008 a higher prevalence of obesity in the southeast of the country and in women and this increased with age up to 65 years&#44; where it was stabilized&#46; The DARIOS<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">8</span></a> study in 2011 established differences in the prevalence of obesity among the different autonomous communities &#40;ACs&#41;&#44; placing Canary Islands&#44; Extremadura and Andalusia as areas of higher prevalence&#46;</p><p id="par0025" class="elsevierStylePara elsevierViewall">The main objective of this paper is to analyze a number of socio-demographic characteristics &#40;sex&#44; age&#44; marital status&#44; occupational social class&#44; autonomous community and size of the municipality&#41; and determine which of them behave as a risk factor for the development of overweight and obesity in the Spanish adult population through data obtained from the last National Health Survey published&#46; A secondary objective is to check whether the presence of overweight and obesity in different ages follows the same profile in men and women&#46;</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Materials and methods</span><p id="par0030" class="elsevierStylePara elsevierViewall">It is a cross-sectional study based on the National Health Survey in 2012&#44;<a class="elsevierStyleCrossRefs" href="#bib0190"><span class="elsevierStyleSup">9&#44;10</span></a> which was conducted on a sample of 21&#44;007 adults aged 15 or above&#46; It was a stratified multistage sampling&#44; distributed evenly and proportionally between autonomous communities&#44; according to their size&#46; The selection within each stratum was carried out with probability proportional to size and with equal probability by systematic sampling with random start&#46; This method leads to self-weighting samples&#46; Until 2001 the selection of people to interview was conducted by non-probability sampling techniques &#40;by age and sex quotas&#41;&#59; however&#44; since 2003&#44; the selection is made randomly from the population frame that defines the Population Census&#46;</p><p id="par0035" class="elsevierStylePara elsevierViewall">The body mass index &#40;BMI&#41; was calculated and related to 6 independent sociodemographic variables&#58; gender&#44; age&#44; marital status&#44; occupational social class&#44; autonomous community and size of the municipality&#46;</p><p id="par0040" class="elsevierStylePara elsevierViewall">People selected for this study were grouped into 3 categories considering their BMIs&#44; which is the method recommended by WHO since 1998<a class="elsevierStyleCrossRef" href="#bib0200"><span class="elsevierStyleSup">11</span></a> to identify overweight and obesity&#46; The following formula was applied for its calculation&#58;<elsevierMultimedia ident="eq0005"></elsevierMultimedia></p><p id="par0045" class="elsevierStylePara elsevierViewall">The data obtained were grouped as follows&#58; low weight &#40;BMI<span class="elsevierStyleHsp" style=""></span>&#60;<span class="elsevierStyleHsp" style=""></span>18&#46;5&#41;&#44; normal weight &#40;BMI<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>18&#46;5&#8211;24&#46;9&#41;&#44; overweight &#40;BMI<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>25&#8211;29&#46;9&#41;&#44; type I obesity &#40;BMI<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>30&#8211;34&#46;9&#41;&#44; type II obesity &#40;BMI<span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>35&#8211;39&#46;9&#41;&#44; type III obesity &#40;BMI<span class="elsevierStyleHsp" style=""></span>&#8805;<span class="elsevierStyleHsp" style=""></span>40&#41;&#46;</p><p id="par0050" class="elsevierStylePara elsevierViewall">The social class variable is obtained from the classification proposed in 2012 by the Determinants Working Group of the Spanish Society of Epidemiology&#44; adapted for the National Health Survey 2012&#46; It is a grouping of occupations&#44; current or former&#44; coded according to the National Classification of Occupations which entered into force in 2011&#46;<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">12</span></a> The 6 social classes used in the National Health Survey 2012 are&#58; social class I &#40;directors and managers of companies with 10 or more employees and professionals traditionally associated to university degrees&#41;&#59; social class II &#40;directors and managers of companies with fewer than 10 employees traditionally associated to university diplomas and other technical support professionals&#46; Athletes and artists&#41;&#59; social class III &#40;intermediate occupations and self-employed&#41;&#59; social class IV &#40;supervisors and workers in skilled technical occupations&#41;&#59; social class V &#40;primary sector workers and other semi-skilled workers&#41;&#59; social class VI &#40;unskilled workers&#41;&#46;</p><p id="par0055" class="elsevierStylePara elsevierViewall">The size of the municipality was divided into&#58; more than 500&#44;000 inhabitants&#44; capital of the province&#47;county &#40;except the above&#41;&#44; more than 100&#44;000 inhabitants&#44; 50&#44;000&#8211;100&#44;000 inhabitants&#44; 20&#44;000&#8211;50&#44;000 inhabitants 10&#44;000&#8211;20&#44;000 inhabitants&#44; less than 10&#44;000&#46;</p><p id="par0060" class="elsevierStylePara elsevierViewall">A multinomial logistic regression analysis was performed<a class="elsevierStyleCrossRef" href="#bib0210"><span class="elsevierStyleSup">13</span></a> using SPSS<span class="elsevierStyleSup">&#174;</span> 23&#46;0 in order to study the possibility of risk rates &#40;<span class="elsevierStyleItalic">odds ratio</span>&#41; of obesity and overweight versus normal weight &#40;reference category&#41; according to 6 independent sociodemographic variables&#58; sex&#44; age&#44; marital status&#44; occupational social class&#44; autonomous community and size of the municipality&#46; All variables were categorical with the exception of age&#59; however&#44; it was decided to divide the age in 7 intervals just in case the risk of overweight and obesity was not linear over the years&#46; Age ranges were&#58; 18&#8211;24&#44; 25&#8211;34&#44; 35&#8211;44&#44; 45&#8211;54&#44; 55&#8211;64&#44; 65&#8211;74 and over 74 years&#46;</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Results</span><p id="par0065" class="elsevierStylePara elsevierViewall">17&#44;861 subjects were selected for this study between 18 and 90 years of age &#40;<span class="elsevierStyleItalic">M</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>52&#44; <span class="elsevierStyleItalic">SD</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>18&#46;23&#41; and were divided into 3 categories considering their BMI values following the WHO criteria&#46; 42&#46;5&#37; &#40;95&#37; CI 41&#46;8&#8211;43&#46;3&#41; had normal weight&#44; 39&#46;0&#37; &#40;95&#37; CI 38&#46;2&#8211;39&#46;7&#41; overweight and 18&#46;5&#37; &#40;95&#37; CI 17&#44; 9&#8211;19&#46;1&#41; obesity &#40;19&#46;3&#37; in men and 17&#46;8&#37; in women&#41;&#46; Patients with low weight were excluded from the study&#46;</p><p id="par0070" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a> shows the risk of obesity and overweight versus normal weight in all the autonomous communities analyzed in Spain&#46; The autonomous communities whose percentage of overweight exceeded the 95&#37; upper limit of the national prevalence &#40;39&#46;7&#37;&#41; were Cantabria&#44; Galicia&#44; Castilla-Leon&#44; Asturias&#44; Extremadura&#44; Navarra and La Rioja&#44; while Ceuta&#44; Extremadura&#44; Andalusia&#44; Castilla-La Mancha&#44; Murcia&#44; Asturias&#44; Galicia and the Canary Islands were above the upper limit of obesity &#40;19&#46;1&#37;&#41;&#46; Regarding normal weight&#44; Melilla&#44; Madrid&#44; Navarra&#44; Catalonia&#44; Basque Country&#44; Aragon&#44; Valencia&#44; the Balearic Islands and La Rioja presented prevalence values above the national upper limit &#40;43&#46;3&#37;&#41;&#46; For the statistical analysis&#44; the autonomous communities &#40;<span class="elsevierStyleItalic">K</span><span class="elsevierStyleHsp" style=""></span>&#61;<span class="elsevierStyleHsp" style=""></span>19&#41; were transformed into 18 dichotomous variables in which Andalusia was the benchmark for having the largest sample size&#46; The results showed that Ceuta&#44; Extremadura&#44; the Canary Islands&#44; Murcia&#44; Castilla-La Mancha and Galicia presented a risk of obesity versus to normal weight statistically similar to that of Andalusia&#44; while the rest of the autonomous communities were significantly lower&#44; highlighting Navarra with the lowest risk&#46; The risk of overweight versus normal weight in Navarra &#40;which had the lowest risk&#41;&#44; Madrid&#44; Catalonia&#44; Valencia&#44; Basque Country&#44; Castilla-Leon&#44; Aragon&#44; Castilla-La Mancha and La Rioja was significantly lower than in Andalusia&#44; being statistically similar in the rest of the autonomous communities&#46;</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0075" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a> shows the risk of obesity and overweight versus normal weight in the different municipalities analyzed according to the number of people registered in the census&#46; The highest percentage of cases with normal weight corresponded to municipalities with more than 500&#44;000 inhabitants &#40;46&#46;7&#37;&#41;&#44; while the highest percentage of overweight and obese subjects &#40;42&#37; and 21&#37;&#44; respectively&#41; were found in municipalities with less than 10&#44;000&#46; For statistical analysis&#44; 6 dichotomous variables were created in June&#44; using as reference the municipalities of less than 10&#44;000 residents&#46; An increased risk of obesity versus normal weight was observed in the municipalities of less than 10&#44;000 inhabitants&#44; but significance was found only when compared with municipalities that were province&#47;county capitals&#46; In contrast&#44; the risk of overweight versus normal weight was significantly lower in all types of municipalities with more than 20&#44;000 inhabitants&#46;</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0080" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a> analyses the risk of obesity and overweight versus normal weight in men and women and at different age ranges&#46; Based on the different surveys&#44; normal weight was more frequent in women &#40;51&#46;1&#37;&#41; and in the group of 18&#8211;24 years &#40;75&#46;0&#37;&#41;&#44; overweight was more common in men &#40;47&#46;3&#37;&#41; and between 65 and 74 years of age &#40;46&#46;5&#37;&#41;&#44; and obesity was also higher in men &#40;19&#46;3&#37;&#41; and in the age group of 65&#8211;74 years &#40;26&#46;5&#37;&#41;&#46; To perform a statistical analysis&#44; age was transformed in 6 <span class="elsevierStyleItalic">dummy</span> variables&#44; using as reference those over 74 years of age&#44; while gender was in one&#44; with women being the reference&#46; Compared to the larger group of 74 years of age&#44; the risk of overweight and obesity was significantly lower versus normal weight up to about 54 years of age&#44; similar between 55 and 64 years&#44; and significantly higher among 65 to 74 years&#46; Compared to women&#44; men showed a significant risk of overweight and obesity versus normal weight&#44; almost three times higher regarding overweight and nearly double in connection with obesity&#46;</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0085" class="elsevierStylePara elsevierViewall">Considering the surveyed population by sex and age ranges together&#44; <a class="elsevierStyleCrossRef" href="#fig0005">Fig&#46; 1</a> shows how&#44; compared to men over 74 years of age&#44; the risk of obesity was lower in the groups up to 44 years&#44; similar between 45 and 54&#44; and higher between 55 and 74 years&#46; If we take women over 74 years of age as a reference&#44; the risk of obesity was lower up to 54 years&#44; similar between 55 and 64&#44; and increased between 65 and 74 years&#46; <a class="elsevierStyleCrossRef" href="#fig0010">Fig&#46; 2</a> shows the distribution regarding overweight in the same age groups mentioned above&#46; In men&#44; the risk was lower in the up to 44 years&#8217; age group and similar between 45 and 74&#44; and as for women&#44; the risk of overweight was lower up to 64 years and similar between 65 and 74 years&#46; <a class="elsevierStyleCrossRef" href="#fig0015">Fig&#46; 3</a> shows that the risk of obesity versus normal weight in men compared to women is very similar from 18 to 24 years of age&#44; a bit more than doubled between 25 and 64 years&#44; and similar at 65 years and over&#44; remaining virtually unchanged from 74 years of age&#46; The risk of overweight versus normal weight was much higher in men in all age groups&#44; although these differences were shortened from the age of 65&#46;</p><elsevierMultimedia ident="fig0005"></elsevierMultimedia><elsevierMultimedia ident="fig0010"></elsevierMultimedia><elsevierMultimedia ident="fig0015"></elsevierMultimedia><p id="par0090" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0020">Table 4</a> analyses the risk of obesity and overweight versus normal weight in different social classes&#46; The highest percentages of normal weight corresponded to directors and managers &#40;social classes I and II exceeded 50&#37;&#41;&#44; overweight to skilled technical occupations &#40;social class IV with 41&#46;7&#37;&#41;&#44; and obesity to unskilled and semi-skilled &#40;workers of social classes V and VI with percentages of 22&#46;5 and 24&#46;0&#37;&#44; respectively&#41;&#46; The results showed that&#44; compared with unskilled workers&#44; all skilled occupation groups &#40;from I to IV&#41; had a significantly lower risk of overweight and obesity compared to normal weight&#46; In addition&#44; semi-skilled workers &#40;V&#41; had a similar risk of overweight and obesity versus the reference group&#46;</p><elsevierMultimedia ident="tbl0020"></elsevierMultimedia><p id="par0095" class="elsevierStylePara elsevierViewall"><a class="elsevierStyleCrossRef" href="#tbl0025">Table 5</a> analyses the risk of obesity and overweight versus normal weight in the different marital status&#46; The highest percentage of normal weight was for singles &#40;56&#46;5&#37;&#41;&#44; the overweight for married &#40;43&#46;1&#37;&#41; and obesity for widowers &#40;26&#46;9&#37;&#41;&#46; The original categorical variable was converted into 4 <span class="elsevierStyleItalic">dummy</span> variables using as reference married people as they were the largest sample size&#46; The results showed that the risk of overweight and obesity versus normal weight&#44; relative to those married&#44; was significantly lower in single&#44; separated and divorced&#44; and statistically similar in widowers&#46;</p><elsevierMultimedia ident="tbl0025"></elsevierMultimedia></span><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Discussion</span><p id="par0100" class="elsevierStylePara elsevierViewall">The prevalence of obesity in Spain continues to rise as reflected by data published in the different National Health Surveys conducted since 1987 to the present &#40;<a class="elsevierStyleCrossRef" href="#fig0020">Fig&#46; 4</a>&#41;&#46;</p><elsevierMultimedia ident="fig0020"></elsevierMultimedia><p id="par0105" class="elsevierStylePara elsevierViewall">Until 1997&#44; the prevalence of obesity was higher in women while overweight was in men&#59; however&#44; these figures have been modified over the years and in 2006 the prevalence of obesity was similar in both sexes and&#44; while overweight has remained unchanged&#46;<a class="elsevierStyleCrossRef" href="#bib0215"><span class="elsevierStyleSup">14</span></a> Our study shows that&#44; by the year 2012&#44; obesity and overweight are more prevalent in men than in women&#44; which is an important epidemiological change&#46;</p><p id="par0110" class="elsevierStylePara elsevierViewall">One of the characteristics of the obesity epidemiology is the different prevalence between geographical areas&#44; especially in developed countries&#46; Our work shows that in Spain&#44; in 2012&#44; there were up to 13&#37; differences in the prevalence of obesity among different autonomous communities&#44; having Ceuta&#44; with a 25&#46;5&#37;&#44; at the upper limit and Navarra at the lower end&#44; with 12&#46;4&#37;&#46; As for the risk of obesity&#44; the area most at risk was the autonomous city of Ceuta followed by the autonomous communities of Extremadura and Andalusia&#46; Differences exceeding 10&#37; were observed from previous studies based on the analysis of data corresponding to the different National Health Surveys between autonomous communities&#44; with Extremadura&#44; Andalusia and Galicia being among the communities with the highest prevalence&#46;<a class="elsevierStyleCrossRef" href="#bib0220"><span class="elsevierStyleSup">15</span></a> It is interesting to see how differences by geographic areas have increased and slightly changed the order of the autonomous communities with a higher prevalence of obesity&#44; with Ceuta being at the top&#46; These data are consistent with those published in other countries&#46; The United States<a class="elsevierStyleCrossRef" href="#bib0225"><span class="elsevierStyleSup">16</span></a> reports differences of more than 10&#37; in the prevalence of obesity among different states&#44; in Europe&#44; in the MONICA project&#44;<a class="elsevierStyleCrossRef" href="#bib0230"><span class="elsevierStyleSup">17</span></a> differences of up to 18&#37; were observed between regions&#46;</p><p id="par0115" class="elsevierStylePara elsevierViewall">Our study shows an 18&#46;5&#37; prevalence of obesity&#44; with a gender distribution of 19&#46;3&#37; in men and 17&#46;8&#37; women&#46; The population with the highest risk of obesity is the age group between 65 and 74 years&#44; married people&#44; those who perform semi-skilled or unskilled jobs&#44; those living in rural areas and men&#46;</p><p id="par0120" class="elsevierStylePara elsevierViewall">The 1997 SEEDO study<a class="elsevierStyleCrossRef" href="#bib0235"><span class="elsevierStyleSup">18</span></a> concluded that there was a higher prevalence of obesity in women aged 45 years or older with low educational level&#46; The overall prevalence of obesity stood at 13&#46;4&#37;&#44; with gender distribution of 11&#46;5&#37; in men and 15&#46;2&#37; in women&#46; The prevalence of obesity increased with age and was higher in rural areas and in the north and the southeast of Spain&#46; As for the overweight prevalence&#44; it was higher in married women&#46;</p><p id="par0125" class="elsevierStylePara elsevierViewall">The 2000 SEEDO study<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">19</span></a> shows very similar data to those described in 1997&#44; although with an age peak variation&#44; as the 55-year-old women group constitutes the most prevalent group&#46; The overall prevalence of obesity stood at 14&#46;5&#37;&#44; with gender distribution of 13&#46;4&#37; in men and 15&#46;8&#37; in women&#46; As in the previous study&#44; the prevalence of obesity increases with age&#44; is higher in rural areas and in the autonomous communities of Galicia&#44; Andalusia and the Canary Islands&#46;</p><p id="par0130" class="elsevierStylePara elsevierViewall">Both the 2007 SEEDO study<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">20</span></a> as well as Aranceta-Bartrina et al&#46;<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">21</span></a> in 2005 used data on the prevalence of overweight and obesity obtained in the DORICA study&#46;<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">22</span></a> The overall prevalence of obesity was 15&#46;5&#37;&#44; with a gender distribution of 13&#46;2&#37; in men and 17&#46;5&#37; in women&#46; The prevalence of obesity in women remained higher&#44; increased with age and kept increasing the lower the level of education was&#46; In terms of geographical distribution&#44; the prevalence of obesity was higher in the northwest&#44; in Murcia&#44; in the south and in the Canary Islands&#46;</p><p id="par0135" class="elsevierStylePara elsevierViewall">These 3 studies share a similar methodology in its implementation because all 3 are cross-sectional studies&#44; with a similar target population&#44; aged between 25 and 60 years and with real BMI measurements&#46; Ours is also a cross-sectional study&#44; although with a broader age range&#44; covering people above 18 years and including the over 74&#44; encompassing all the autonomous communities &#40;previous studies considered them partially&#41; and using BMI data based on self-referred weight and height&#46; Thus&#44; the data are not fully comparable with previous studies&#44; but allow us to observe a number of changes in the evolution of the prevalence of obesity and its sociodemographic characteristics&#46; The fact that BMI in the National Health Survey comes from self-referred data leads to an underestimation of weight and overestimation of height&#44; and is a proven fact that the prevalence values of obesity are lower than the real figures&#44; as described in the ENRICA study<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">23</span></a> and in the work published by Quiles Izquierdo and Vioque<a class="elsevierStyleCrossRef" href="#bib0265"><span class="elsevierStyleSup">24</span></a> in 1996&#59; there are other studies that show that the declaration of weight and height by the respondent has a sensitivity of 77&#37; and a specificity of 97&#37;&#46;<a class="elsevierStyleCrossRefs" href="#bib0270"><span class="elsevierStyleSup">25&#44;26</span></a> Moreover&#44; the fact that the age group studied was more comprehensive and included age groups with lower prevalence of obesity can justify to some extent the difference&#46; Even assuming that the actual prevalence of excess weight can be greater than the data obtained in this work&#44; the results do allow us to establish a risk profile of overweight and obesity in relation to the sociodemographic characteristics and to assess differences by gender and age&#46;</p><p id="par0140" class="elsevierStylePara elsevierViewall">When identifying the age groups most at risk of obesity taking into account the variables of sex and age together&#44; our data show that men aged between 55 and 74 years have the highest risk&#44; with statistically significant results&#44; something that has changed from what was published in 2011 by Rodr&#237;guez-Rodr&#237;guez et al&#46;&#44;<a class="elsevierStyleCrossRef" href="#bib0280"><span class="elsevierStyleSup">27</span></a> referring to an increased risk in the 50&#8211;60 years of age group without gender distinction&#46; In most of the published papers&#44; the population under study only included up to 65 year-olds&#44; and the result is a linear increase in the prevalence of obesity&#59; but if we include in the study people aged over 60&#8211;65 years&#44; we observe major changes&#46; In 2007&#44; Basterra-Gortari et al&#46;<a class="elsevierStyleCrossRef" href="#bib0285"><span class="elsevierStyleSup">28</span></a> refer to an increase in the prevalence of obesity below 57 years of age and a decrease over this age&#46; In 2004&#44; Guti&#233;rrez-Fisac et al&#46;<a class="elsevierStyleCrossRef" href="#bib0290"><span class="elsevierStyleSup">29</span></a> analyzed the prevalence of obesity in the elderly and concluded that it decreases above 80 years of age&#46; In our work the cut-off point is at 74 years of age and the data show that&#44; from 18 to 74 years&#44; the increase in prevalence of obesity occurs in a linear fashion&#44; while this trend is reversed or stabilized when it reaches the age of 74&#46;</p><p id="par0145" class="elsevierStylePara elsevierViewall">In conclusion we can say that the sociodemographic variables collected in the 2012 National Health Survey which represented&#44; independently&#44; an increased risk of overweight and obesity versus normal weight were&#58; regarding gender&#44; men&#59; regarding marital status&#44; those married&#59; in relation to age&#44; the group between 65 and 74 had the highest risk&#59; in terms of social classes&#44; those who perform unskilled work&#59; the autonomous communities with an increased risk of obesity were Ceuta&#44; Extremadura and Andalusia&#44; and in relation to municipalities&#44; those with less than 10&#44;000 inhabitants&#46; On the other hand&#44; analysing the behavior of men and women to assess the evolution of overweight and obesity in different age groups&#44; we see that men have more than twice the risk of obesity than women between 25 and 64 years of age and that the risk of overweight in these was much higher than women in all age groups studied&#46;</p><p id="par0150" class="elsevierStylePara elsevierViewall">The new obesity distribution profile found in this work provides a major change from what has been published previously&#46; For example&#44; in 2012 obesity is more common in men&#44; the peak is between 65 and 74 years of age and then it stabilizes&#44; and the area with the highest prevalence of obesity is the autonomous city of Ceuta followed by the autonomous communities of Andalusia and Extremadura&#46; This study and similar future research can help define the target population for the various prevention plans related to obesity and overweight in Spain and thus help restrain its expansion in our country&#46;</p></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Funding</span><p id="par0155" class="elsevierStylePara elsevierViewall">This study was partially funded by a research project awarded by the <span class="elsevierStyleGrantSponsor" id="gs1">University Alfonso X el Sabio Foundation and Grupo Santander</span> in 2015&#46;</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Conflict of interest</span><p id="par0160" class="elsevierStylePara elsevierViewall">The authors declare no conflict of interest&#46;</p></span></span>"
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        "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">To analyze the adult Spanish sociodemographic characteristics associated with a higher risk of excess weight and obesity&#46; As a second aim&#44; we analyze if there are gender differences regarding the development of overweight and obesity in different age groups&#46;</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Material and methods</span><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Transversal study of the National Health Survey of 2012&#46; Body mass index was calculated and a number of sociodemographic variables were analyzed&#46; An analysis of multinomial logistic regression was conducted&#46;</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">In 2012 the prevalence of obesity in Spain was 18&#46;5&#37; for obesity and 39&#46;0&#37; for being overweight&#46; The greatest risk of being overweight or obese versus being of normal weight corresponded to men&#44; married&#44; between 65 and 74 years old&#44; in social classes where unskilled work is performed&#44; in the autonomous city of Ceuta&#44; and the autonomous communities of Extremadura and Andaluc&#237;a&#44; and in municipalities with fewer than 10&#44;000 inhabitants&#46; On the other hand&#44; obesity risk is 2 times higher in men versus women between 25 and 64 years while overweight risk is higher in all age groups&#46;</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">The sociodemographic characteristics associated with a higher risk of being overweight or obese in Spain have changed compared to those published previously&#46; In the year 2012&#44; obesity was more common in males&#44; the maximum peak was between 65 and 74 years and the area with the highest prevalence of obesity was the autonomous city of Ceuta&#46;</p></span>"
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        "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Objetivo</span><p id="spar0025" class="elsevierStyleSimplePara elsevierViewall">Analizar las caracter&#237;sticas sociodemogr&#225;ficas de la poblaci&#243;n adulta espa&#241;ola que suponen un mayor riesgo de sobrepeso y obesidad&#46; Por otro lado&#44; analizar las diferencias por sexo en cuanto a la presencia de sobrepeso y obesidad en las diferentes franjas de edad&#46;</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Material y m&#233;todos</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Estudio transversal de la Encuesta Nacional de Salud del a&#241;o 2012&#46; Se calcul&#243; el &#237;ndice de masa corporal y se analizaron una serie de variables sociodemogr&#225;ficas&#46; Se llev&#243; a cabo un an&#225;lisis de regresi&#243;n log&#237;stica multinomial&#46;</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">En el a&#241;o 2012 la prevalencia de obesidad en Espa&#241;a fue del 18&#44;5&#37; y la de sobrepeso fue del 39&#44;0&#37;&#46; El mayor riesgo de sobrepeso y obesidad frente al peso normal correspondi&#243; a varones&#44; casados&#44; entre los 65 y los 74 a&#241;os&#44; en las clases sociales en que se realizan trabajos no cualificados&#44; en la ciudad aut&#243;noma de Ceuta y las comunidades aut&#243;nomas de Extremadura y Andaluc&#237;a&#44; y en los municipios de menos de 10&#46;000 habitantes&#46; Por otro lado&#44; el riesgo de obesidad frente a normopeso fue de m&#225;s del doble en varones respecto a mujeres entre los 25 y los 64 a&#241;os y el riesgo de sobrepeso fue muy superior en todos los grupos de edad&#46;</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">Las caracter&#237;sticas sociodemogr&#225;ficas asociadas a un mayor riesgo de sobrepeso y obesidad en Espa&#241;a han cambiado con respecto a lo publicado anteriormente&#46; En el a&#241;o 2012&#44; la obesidad es m&#225;s frecuente en varones&#44; el pico m&#225;ximo se encuentra entre los 65 y los 74 a&#241;os para luego estabilizarse&#44; y la zona con mayor prevalencia de obesidad es la ciudad aut&#243;noma de Ceuta&#46;</p></span>"
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        "etiqueta" => "&#9734;"
        "nota" => "<p class="elsevierStyleNotepara" id="npar0095">Please cite this article as&#58; Marqueta de Salas M&#44; Mart&#237;n-Ramiro JJ&#44; Ju&#225;rez Soto JJ&#46; Caracter&#237;sticas sociodemogr&#225;ficas como factores de riesgo para la obesidad y el sobrepeso en la poblaci&#243;n adulta espa&#241;ola&#46; Med Clin &#40;Barc&#41;&#46; 2016&#59;146&#58;471&#8211;477&#46;</p>"
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          "en" => "<p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">O<span class="elsevierStyleItalic">dds ratios</span> chart of obesity compared to normal weight differentiated by sex and with reference to those over 74 years&#46;</p>"
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          "en" => "<p id="spar0050" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Odds ratios</span> chart of overweight versus normal weight differentiated between men and women and with reference to those over 74 years of age&#46;</p>"
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        "etiqueta" => "Fig&#46; 3"
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          "en" => "<p id="spar0055" class="elsevierStyleSimplePara elsevierViewall"><span class="elsevierStyleItalic">Odds ratios</span> chart of obesity and overweight versus normal weight in men compared to women in each age range&#46;</p>"
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          "en" => "<p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">Prevalence of obesity in Spain according to data from the various national health surveys&#46; <span class="elsevierStyleItalic">Source</span>&#58; Ministry of Health&#44; Social Services and Equality and the Statistics National Institute&#46;</p>"
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          "leyenda" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">95&#37; CI&#58; confidence intervals 95&#37;&#59; OR<span class="elsevierStyleInf">OB</span>&#58; <span class="elsevierStyleItalic">odds ratio</span> of obesity versus normal weight&#59; OR<span class="elsevierStyleInf">OW</span>&#58; <span class="elsevierStyleItalic">odds ratio</span> of overweight versus normal weight&#46;</p><p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Percentages calculated with respect to the autonomous communities&#46;</p>"
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                  <table border="0" frame="\n
                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Autonomous community&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Normal weight<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a> &#40;95&#37; CI&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Overweight &#40;95&#37; CI&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Obesity &#40;95&#37; CI&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">OR<span class="elsevierStyleInf">OW</span> &#40;95&#37; CI&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">OR<span class="elsevierStyleInf">OB</span> &#40;95&#37; CI&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Andalusia<a class="elsevierStyleCrossRef" href="#tblfn0005"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">38&#46;6&#37; &#40;36&#46;5&#8211;40&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">38&#46;6&#37; &#40;36&#46;5&#8211;40&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">22&#46;8&#37; &#40;21&#46;1&#8211;24&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Aragon&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">44&#46;1&#37; &#40;40&#46;1&#8211;48&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">38&#46;3&#37; &#40;34&#46;4&#8211;42&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">17&#46;6&#37; &#40;14&#46;6&#8211;20&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;76<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">&#42;</span></a> &#40;0&#46;61&#8211;0&#46;94&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;65<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">&#42;&#42;</span></a> &#40;0&#46;49&#8211;0&#46;85&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Asturias&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">37&#46;9&#37; &#40;24&#46;3&#8211;41&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">41&#46;5&#37; &#40;37&#46;8&#8211;45&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">20&#46;6&#37; &#40;17&#46;6&#8211;23&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;89 &#40;0&#46;72&#8211;1&#46;09&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;73<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">&#42;</span></a> &#40;0&#46;57&#8211;0&#46;95&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Balearics&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">44&#46;0&#37; &#40;39&#46;8&#8211;48&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">38&#46;4&#37; 34&#46;3&#8211;42&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">17&#46;6&#37; &#40;14&#46;4&#8211;20&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;83 &#40;0&#46;66&#8211;1&#46;04&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;70<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">&#42;</span></a> &#40;0&#46;53&#8211;0&#46;92&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Canary Islands&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">42&#46;3&#37; &#40;39&#46;0&#8211;45&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">37&#46;2&#37; &#40;34&#46;0&#8211;40&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">20&#46;5&#37; &#40;17&#46;8&#8211;23&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;89 &#40;0&#46;73&#8211;1&#46;07&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;87 &#40;0&#46;69&#8211;1&#46;09&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Cantabria&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">41&#46;7&#37; &#40;37&#46;5&#8211;45&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">44&#46;1&#37; &#40;39&#46;8&#8211;48&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">14&#46;2&#37; &#40;11&#46;2&#8211;17&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;89 &#40;0&#46;71&#8211;1&#46;12&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;48<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">&#42;&#42;&#42;</span></a> &#40;0&#46;35&#8211;0&#46;66&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Castilla-Leon&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">43&#46;1&#37; &#40;40&#46;2&#8211;46&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">42&#46;1&#37; &#40;39&#46;2&#8211;45&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">14&#46;8&#37; &#40;12&#46;7&#8211;16&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;76<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">&#42;&#42;</span></a> &#40;0&#46;64&#8211;0&#46;91&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;46<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">&#42;&#42;&#42;</span></a> &#40;0&#46;37&#8211;0&#46;59&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Castilla la Mancha&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">41&#46;1&#37; &#40;37&#46;6&#8211;44&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">36&#46;4&#37; &#40;33&#46;0&#8211;39&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">22&#46;5&#37; &#40;19&#46;6&#8211;25&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;79<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">&#42;</span></a> &#40;0&#46;65&#8211;0&#46;97&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;85 &#40;0&#46;67&#8211;1&#46;08&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Catalonia&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">46&#46;3&#37; &#40;44&#46;0&#8211;48&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">37&#46;4&#37; &#40;35&#46;3&#8211;39&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">16&#46;3&#37; &#40;14&#46;6&#8211;17&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;77<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">&#42;&#42;</span></a> &#40;0&#46;66&#8211;0&#46;89&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;55<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">&#42;&#42;&#42;</span></a> &#40;0&#46;46&#8211;0&#46;67&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Valencia&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">44&#46;1&#37; &#40;41&#46;6&#8211;46&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">36&#46;7&#37; &#40;34&#46;2&#8211;39&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">19&#46;1&#37; &#40;17&#46;1&#8211;21&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;77<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">&#42;&#42;</span></a> &#40;0&#46;66&#8211;0&#46;91&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;73<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">&#42;&#42;</span></a> &#40;0&#46;60&#8211;0&#46;88&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Extremadura&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">34&#46;2&#37; &#40;30&#46;7&#8211;37&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">40&#46;8&#37; &#40;37&#46;1&#8211;44&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">25&#46;0&#37; &#40;21&#46;8&#8211;28&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;06 &#40;0&#46;85&#8211;1&#46;31&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;02 &#40;0&#46;79&#8211;1&#46;32&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Galicia&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">37&#46;0&#37; &#40;33&#46;9&#8211;40&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">42&#46;4&#37; &#40;39&#46;3&#8211;45&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">20&#46;6&#37; &#40;18&#46;0&#8211;23&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;02 &#40;0&#46;85&#8211;1&#46;24&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;84 &#40;0&#46;67&#8211;1&#46;06&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Madrid&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">47&#46;8&#37; &#40;45&#46;4&#8211;50&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">36&#46;9&#37; &#40;34&#46;6&#8211;39&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">15&#46;3&#37; &#40;13&#46;5&#8211;17&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;79<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">&#42;&#42;</span></a> &#40;0&#46;67&#8211;0&#46;93&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;61<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">&#42;&#42;&#42;</span></a> &#40;0&#46;49&#8211;0&#46;75&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Murcia&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">39&#46;6&#37; &#40;36&#46;0&#8211;43&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">38&#46;9&#37; &#40;25&#46;3&#8211;42&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">21&#46;5&#37; &#40;18&#46;5&#8211;24&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;94 &#40;0&#46;77&#8211;1&#46;16&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;87 &#40;0&#46;68&#8211;1&#46;11&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Navarra&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">47&#46;0&#37; &#40;43&#46;2&#8211;50&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">40&#46;6&#37; &#40;36&#46;9&#8211;44&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">12&#46;4&#37; &#40;10&#46;0&#8211;14&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;71<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">&#42;&#42;&#42;</span></a> &#40;0&#46;58&#8211;0&#46;87&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;36<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">&#42;&#42;&#42;</span></a> &#40;0&#46;27&#8211;0&#46;48&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Basque Country&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">44&#46;5&#37; &#40;41&#46;5&#8211;47&#46;6&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">39&#46;3&#37; &#40;36&#46;3&#8211;42&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">16&#46;2&#37; &#40;13&#46;9&#8211;18&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;77<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">&#42;&#42;</span></a> &#40;0&#46;65&#8211;0&#46;93&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;55<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">&#42;&#42;&#42;</span></a> &#40;0&#46;44&#8211;0&#46;70&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Rioja&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">43&#46;7&#37; &#40;39&#46;7&#8211;47&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">39&#46;9&#37; &#40;35&#46;9&#8211;43&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">16&#46;4&#37; &#40;13&#46;3&#8211;19&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;75<a class="elsevierStyleCrossRef" href="#tblfn0010"><span class="elsevierStyleSup">&#42;</span></a> &#40;0&#46;60&#8211;0&#46;94&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;52<a class="elsevierStyleCrossRef" href="#tblfn0020"><span class="elsevierStyleSup">&#42;&#42;&#42;</span></a> &#40;0&#46;39&#8211;0&#46;70&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Ceuta&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">35&#46;5&#37; &#40;28&#46;0&#8211;42&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">39&#46;0&#37; &#40;31&#46;4&#8211;46&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">25&#46;5&#37; &#40;18&#46;8&#8211;32&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;10 &#40;0&#46;74&#8211;1&#46;66&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">1&#46;49 &#40;0&#46;94&#8211;2&#46;36&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Melilla&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">48&#46;8&#37; &#40;41&#46;8&#8211;55&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">38&#46;4&#37; &#40;31&#46;6&#8211;45&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">12&#46;8&#37; &#40;8&#46;0&#8211;17&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;73 &#40;0&#46;50&#8211;1&#46;04&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;48<a class="elsevierStyleCrossRef" href="#tblfn0015"><span class="elsevierStyleSup">&#42;&#42;</span></a> &#40;0&#46;29&#8211;0&#46;79&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t\tvoid\n
                  \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Size of the municipality&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Normal weight<a class="elsevierStyleCrossRef" href="#tblfn0025"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Overweight&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Obesity&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">&#62;500&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">46&#46;7&#37; &#40;44&#46;6&#8211;48&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">36&#46;4&#37; &#40;34&#46;3&#8211;38&#46;4&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">16&#46;9&#37; &#40;15&#46;3&#8211;18&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;83<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">&#42;</span></a> &#40;0&#46;71&#8211;0&#46;96&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;84 &#40;0&#46;71&#8211;1&#46;04&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">Capital&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">44&#46;7&#37; &#40;43&#46;2&#8211;46&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">39&#46;3&#37; &#40;37&#46;7&#8211;40&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">16&#46;0&#37; &#40;14&#46;9&#8211;17&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;85<a class="elsevierStyleCrossRef" href="#tblfn0035"><span class="elsevierStyleSup">&#42;&#42;</span></a> &#40;0&#46;76&#8211;0&#46;95&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;75<a class="elsevierStyleCrossRef" href="#tblfn0040"><span class="elsevierStyleSup">&#42;&#42;&#42;</span></a> &#40;0&#46;65&#8211;0&#46;87&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">&#62;100&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">43&#46;5&#37; &#40;40&#46;9&#8211;46&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">38&#46;0&#37; &#40;35&#46;5&#8211;40&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">18&#46;5&#37; &#40;16&#46;5&#8211;20&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;82<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">&#42;</span></a> &#40;0&#46;70&#8211;0&#46;96&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;85 &#40;0&#46;68&#8211;1&#46;01&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">50&#46;000&#8211;100&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">43&#46;2&#37; &#40;40&#46;7&#8211;45&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">38&#46;7&#37; &#40;36&#46;2&#8211;41&#46;1&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">18&#46;1&#37; &#40;16&#46;1&#8211;20&#46;0&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;86<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">&#42;</span></a> &#40;0&#46;74&#8211;0&#46;99&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;84 &#40;0&#46;70&#8211;1&#46;01&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">20&#46;000&#8211;50&#46;000&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">43&#46;4&#37; &#40;41&#46;5&#8211;45&#46;3&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">36&#46;9&#37; &#40;35&#46;0&#8211;38&#46;7&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">19&#46;7&#37; &#40;18&#46;2&#8211;21&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;84<a class="elsevierStyleCrossRef" href="#tblfn0030"><span class="elsevierStyleSup">&#42;</span></a> &#40;0&#46;74&#8211;0&#46;95&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;89 &#40;0&#46;78&#8211;1&#46;01&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;87 &#40;0&#46;73&#8211;1&#46;02&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">&#60;10&#46;000<a class="elsevierStyleCrossRef" href="#tblfn0025"><span class="elsevierStyleSup">a</span></a>&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">42&#46;0&#37; &#40;40&#46;4&#8211;43&#46;5&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">21&#46;0&#37; &#40;19&#46;7&#8211;22&#46;2&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</th><th class="td" title="table-head  " align="left" valign="top" scope="col" style="border-bottom: 2px solid black">Overweight&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">30&#46;0&#37; &#40;28&#46;2&#8211;31&#46;8&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;25<a class="elsevierStyleCrossRef" href="#tblfn0060"><span class="elsevierStyleSup">&#42;&#42;&#42;</span></a> &#40;0&#46;20&#8211;0&#46;30&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;69<a class="elsevierStyleCrossRef" href="#tblfn0060"><span class="elsevierStyleSup">&#42;&#42;&#42;</span></a> &#40;0&#46;58&#8211;0&#46;82&#41;&nbsp;\t\t\t\t\t\t\n
                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">55&#8211;64&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;94 &#40;0&#46;81&#8211;1&#46;10&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">65&#8211;74&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">45&#46;7&#37; &#40;43&#46;6&#8211;47&#46;9&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="table-entry ; entry_with_role_rowhead " align="left" valign="top">IV&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="char" valign="top">0&#46;92 &#40;0&#46;80&#8211;1&#46;05&#41;&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
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                  \t\t\t\t</td><td class="td" title="table-entry  " align="" valign="top">&nbsp;\t\t\t\t\t\t\n
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