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in female adolescents" "tieneTextoCompleto" => true "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "58" "paginaFinal" => "63" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "José Castro Burbano, Pamela Fajardo Vanegas, Julieta Robles Rodríguez, Karina Pazmiño Estévez" "autores" => array:4 [ 0 => array:4 [ "nombre" => "José" "apellidos" => "Castro Burbano" "email" => array:1 [ 0 => "jcastro@internacional.edu.ec" ] "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 1 => array:2 [ "nombre" => "Pamela" "apellidos" => "Fajardo Vanegas" ] 2 => array:2 [ "nombre" => "Julieta" "apellidos" => "Robles Rodríguez" ] 3 => array:2 [ "nombre" => "Karina" "apellidos" => "Pazmiño Estévez" ] ] "afiliaciones" => array:1 [ 0 => array:2 [ "entidad" => "Escuela de Nutriología, Universidad Internacional del Ecuador, Quito, Ecuador" "identificador" => "aff0005" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Relación entre ingesta dietética de calcio y adiposidad corporal en adolescentes mujeres" ] ] "textoCompleto" => "<span class="elsevierStyleSections"><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0065">Introduction</span><p id="par0005" class="elsevierStylePara elsevierViewall">Non-communicable chronic diseases represent a worldwide health problem.<a class="elsevierStyleCrossRef" href="#bib0155"><span class="elsevierStyleSup">1</span></a> They have a substantial impact on health and have serious adverse effects on the quality of life, favor early mortality, and cause high costs to society. Cardiovascular disease, cancer, chronic respiratory tract disease, and diabetes account for 60% of deaths worldwide. It is estimated that 41 million people will die from non-communicable chronic diseases in 2015.<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">2</span></a></p><p id="par0010" class="elsevierStylePara elsevierViewall">Obesity is considered by the World Health Organization to be the “epidemic of the 21st century”, and its prevalence has increased and continues to increase in developed countries, as well as in countries with economies in transition, and has acquired epidemic proportions. Overweight and obesity account for approximately 2.6 million deaths annually. Considering its multifactorial etiology, genetic factors appear to have played only a secondary role in the increased prevalence of obesity, while environmental factors such as diet and physical inactivity emerge as the most significant determinants of increased adiposity in the past 30 years.<a class="elsevierStyleCrossRef" href="#bib0160"><span class="elsevierStyleSup">2</span></a></p><p id="par0015" class="elsevierStylePara elsevierViewall">The prevalence and magnitude of obesity are also rapidly increasing in children and adolescents.<a class="elsevierStyleCrossRef" href="#bib0165"><span class="elsevierStyleSup">3</span></a> Childhood obesity is the most common cause of insulin resistance in children and adolescents and is associated with dyslipidemia, type 2 diabetes mellitus, long-term vascular complications, and usually with increased morbidity and mortality in adulthood.<a class="elsevierStyleCrossRefs" href="#bib0165"><span class="elsevierStyleSup">3,4</span></a></p><p id="par0020" class="elsevierStylePara elsevierViewall">Research has often focused on the identification of combinations of macronutrients able to regulate body weight, but the effects of micronutrients need to be further explored. Some minerals are involved in energy metabolism and in insulin secretion and action, and may interfere with obesity control.<a class="elsevierStyleCrossRef" href="#bib0175"><span class="elsevierStyleSup">5</span></a></p><p id="par0025" class="elsevierStylePara elsevierViewall">Studies searching for epidemiological explanations of increased adiposity have identified dietary calcium intake as one of the factors inversely correlated to the body mass index (BMI). Thus, consistent evidence concerning the role of calcium and dairy product consumption in obesity prevention has started to appear in recent years. The first report by McCarron, two decades ago, of the finding of lower body weights in US people who reported higher calcium intake in the National Health Survey opened a line of basic, clinical, and molecular research aimed at first confirming, and then explaining the mechanisms by which a mineral apparently unrelated to the energy equation could contribute to weight loss.<a class="elsevierStyleCrossRef" href="#bib0180"><span class="elsevierStyleSup">6</span></a> Short-term studies have reported negative associations between calcium consumption and the BMI, percent fat, and waist circumference.<a class="elsevierStyleCrossRef" href="#bib0185"><span class="elsevierStyleSup">7</span></a> Experimental studies in rats to determine the effect of subchronic dietary calcium intake on body weight and lipid metabolism showed that the administration of calcium added to a high-fat diet decreased body weight and abdominal fat contents during treatment, from which a potential decrease in fat absorption and a potential increase in fatty tissue apoptosis was inferred.<a class="elsevierStyleCrossRefs" href="#bib0190"><span class="elsevierStyleSup">8–10</span></a></p><p id="par0030" class="elsevierStylePara elsevierViewall">A reanalysis of several prospective studies designed to assess the effect of dairy products on the prevention of osteoporosis showed that groups treated with calcium or with a greater intake of dairy products consistently had less risk of overweight.<a class="elsevierStyleCrossRef" href="#bib0205"><span class="elsevierStyleSup">11</span></a> A greater relative risk of high body adiposity was found in people with the lowest calcium intake, and the risk gradually decreased as calcium intake increased; relative risk was 0.75 for the second quartile, 0.40 for the third quartile, and 0.16 for the fourth quartile of calcium intake in women. The intake of dairy products, dietary protein, and calcium was associated with more favorable body composition in obese males and females.<a class="elsevierStyleCrossRefs" href="#bib0210"><span class="elsevierStyleSup">12–14</span></a></p><p id="par0035" class="elsevierStylePara elsevierViewall">The results of clinical studies of calcium intake found significant negative associations between calcium intake and body weight in all age groups, and the range of probability to be overweight (BMI >25) was 2.25 for females in the lower half of calcium intake.<a class="elsevierStyleCrossRefs" href="#bib0225"><span class="elsevierStyleSup">15–17</span></a></p><p id="par0040" class="elsevierStylePara elsevierViewall">On the other hand, some studies have reported that increased consumption of dairy products with no energy restriction does not lead to a significant change in body weight or composition.<a class="elsevierStyleCrossRef" href="#bib0240"><span class="elsevierStyleSup">18</span></a></p><p id="par0045" class="elsevierStylePara elsevierViewall">Based on the foregoing and because of the inconsistency of the effects of dairy products on body weight and composition reported by various observational and experimental studies, a study was undertaken to assess whether the intake of calcium and dairy products in diet correlated to the degree of adiposity and development of overweight in a group of female adolescents.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0070">Objectives</span><p id="par0050" class="elsevierStylePara elsevierViewall">To determine whether dietary calcium intake correlates to the BMI and body fat distribution in female adolescents.</p><p id="par0055" class="elsevierStylePara elsevierViewall">To determine whether dairy product intake correlates to the BMI and body fat distribution in female adolescents.</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0075">Materials and methods</span><p id="par0060" class="elsevierStylePara elsevierViewall">This was a cross-sectional, observational, epidemiological study that enrolled 244 female adolescents aged 12–19 years, randomly selected from public and private schools from the list of schools of the Ministry of Education of Ecuador.</p><p id="par0065" class="elsevierStylePara elsevierViewall">All participants voluntarily agreed to take part in the study, and written informed consent signed by their parents or tutors was obtained. Adolescents with any physical disability that made the taking of anthropometric measurements difficult and those who had a clinical history of endocrine or metabolic problems, or cardiovascular, respiratory or musculoskeletal disease were excluded from the study.</p><p id="par0070" class="elsevierStylePara elsevierViewall">The study was approved by the bioethics committee of Universidad San Francisco in Quito.</p><p id="par0075" class="elsevierStylePara elsevierViewall">The sample was estimated with Epi Info (version 6) software using the following parameters: 95% confidence interval, expected prevalence of overweight of 12%, and 7% precision.</p><span id="sec0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0080">Definition of variables</span><p id="par0080" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">Anthropometrics</span>. The following anthropometric measurements were taken: body weight: using a SECA scale (Germany); height: using a stadiometer; waist circumference: measured halfway between the costal margin and the iliac crest; and hip circumference: measured at the widest part of the hip, at the level of the greater trochanters, using a non-stretchable measuring tape.</p><p id="par0085" class="elsevierStylePara elsevierViewall">The BMI was calculated as: weight (kg)/height (m<span class="elsevierStyleSup">2</span>).</p><p id="par0090" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">Overweight and obesity</span>. Overweight and obesity were defined based on the BMI. Overweight was defined as a BMI above the 85th percentile, and obesity as a BMI above the 95th percentile. The resulting values were compared to those provided in the tables of the National Center for Health Statistics (NCHS) according to age and sex.<a class="elsevierStyleCrossRef" href="#bib0245"><span class="elsevierStyleSup">19</span></a></p><p id="par0095" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">Fat distribution</span>. The waist/hip ratio was used to determine body fat distribution.</p><p id="par0100" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">Intake of calories, macronutrients, calcium, and dairy products</span>. This was calculated using a 24<span class="elsevierStyleHsp" style=""></span>h recall instrument. To facilitate recall of the size of portions and to decrease recall bias, participants were shown the book with pictures of food portions of the American Dietetic Association. To determine differences between week days and weekends, three recalls per person were used in adolescents from state schools, and two recalls in those from private schools. The information thus collected was analyzed with Food Processor software (Nutrition Analysis ESHA), with which total calorie and macronutrient intake, percent macronutrients in total calories, and daily calcium intake were determined.</p><p id="par0105" class="elsevierStylePara elsevierViewall">Based on the frequency distributions obtained for this group of adolescents, calcium consumption was divided into three groups: adequate intake: adolescents who consumed 1200<span class="elsevierStyleHsp" style=""></span>mg/day or more; low intake: those consuming less than 1200<span class="elsevierStyleHsp" style=""></span>mg/day; very low intake: those consuming 600<span class="elsevierStyleHsp" style=""></span>mg/day of calcium or less.</p><p id="par0110" class="elsevierStylePara elsevierViewall">A consumption frequency questionnaire was used to assess the consumption of dairy products (milk, cheese, and yogurt). Adequate intake was defined as the consumption of one or more portions of dairy products daily, and low intake as the consumption of less than one portion daily.</p><p id="par0115" class="elsevierStylePara elsevierViewall"><span class="elsevierStyleItalic">Data analysis</span>. Variables were analyzed using descriptive statistics and are given as mean<span class="elsevierStyleHsp" style=""></span>±<span class="elsevierStyleHsp" style=""></span>one standard deviation for continuous variables, and as percentages for nominal variables. The differences between groups were analyzed using a Student's <span class="elsevierStyleItalic">t</span> test for continuous variables and a <span class="elsevierStyleItalic">χ</span><span class="elsevierStyleSup"><span class="elsevierStyleItalic">Chi</span></span>-square for categorical variables. To establish the association of the BMI, waist circumference, hip circumference, and waist/hip ratio with predictive variables, multiple regression analyses were performed. Values of <span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>≤<span class="elsevierStyleHsp" style=""></span>0.05 were considered statistically significant. Excel 2013 software was used to record data, and SPSS version 22 for Windows was used for processing and statistical analysis.</p></span></span><span id="sec0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0085">Results</span><p id="par0120" class="elsevierStylePara elsevierViewall">Multiple regression analysis showed that calcium intake adjusted for calorie intake negatively correlated to the BMI (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05), waist circumference (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05), hip circumference (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>0.05), and waist/hip ratio (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0.05) (<a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>).</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0125" class="elsevierStylePara elsevierViewall">As regards the relationship between nutritional state and calcium intake, adolescents with overweight were found to have a lower mean calcium intake than adolescents of normal weight (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.06); adolescents with overweight were also found to have a lower calorie intake as compared to adolescents of normal weight (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.005) (<a class="elsevierStyleCrossRef" href="#tbl0010">Table 2</a>).</p><elsevierMultimedia ident="tbl0010"></elsevierMultimedia><p id="par0130" class="elsevierStylePara elsevierViewall">With regard to the association of calcium intake and body weight, overweight and obese adolescents were found to have a very low and low calcium intake, and no adolescent in these groups had an adequate calcium intake (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.48) (<a class="elsevierStyleCrossRef" href="#tbl0015">Table 3</a>).</p><elsevierMultimedia ident="tbl0015"></elsevierMultimedia><p id="par0135" class="elsevierStylePara elsevierViewall">Finally, adolescents with a low intake of dairy products (milk, cheese, and yogurt) had on average greater values of BMI (20.09 vs 19.58) and waist circumference (71.3 vs 69.18) as compared to adolescents with adequate intake (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>0.05).</p></span><span id="sec0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0090">Discussion</span><p id="par0140" class="elsevierStylePara elsevierViewall">The results of this study show that the dietary intake of calcium and dairy products was inversely correlated to body adiposity and overweight and obesity in these female adolescents.</p><p id="par0145" class="elsevierStylePara elsevierViewall">Other similar cross-sectional studies conducted on adolescents have also shown a negative correlation between calcium intake and anthropometric indicators (weight, the BMI, fat mass, and percent fat).<a class="elsevierStyleCrossRef" href="#bib0250"><span class="elsevierStyleSup">20</span></a> The pathophysiological mechanism of this association appears to be related to the oxidative capacity of adipose tissue, with high calcium intake inducing a decrease in intracellular calcium levels in adipose tissue, so promoting fat oxidation, rather than fat deposition, and, by contrast, low dietary calcium intake having the reverse effect.<a class="elsevierStyleCrossRef" href="#bib0255"><span class="elsevierStyleSup">21</span></a> Various studies in humans have similarly shown an inverse relationship between high calcium intake and the presence of metabolic disorders related to obesity such as high blood pressure, diabetes, and insulin resistance.<a class="elsevierStyleCrossRef" href="#bib0260"><span class="elsevierStyleSup">22</span></a></p><p id="par0150" class="elsevierStylePara elsevierViewall">In addition, some studies have reported that the consumption of calcium from dairy products promotes the loss of fat mass in premenopausal obese women.<a class="elsevierStyleCrossRef" href="#bib0265"><span class="elsevierStyleSup">23</span></a> Finally, animal models have provided a potential mechanism through which low calcium intake could influence body fat deposits.<a class="elsevierStyleCrossRef" href="#bib0270"><span class="elsevierStyleSup">24</span></a> Among these mechanisms, it has been suggested that a low calcium diet increases intracellular calcium concentrations by stimulating calciotropic hormones such as 1,25 dihydroxyvitamin D and parathormone, which may increase intra-adipocyte calcium. These elevated intra-adipocyte calcium concentrations may then increase the rate of lipogenesis and inhibit lipolysis, resulting in increased adiposity. Thus, an increased dietary calcium intake could be proposed to prevent the triggering of this cascade by maintaining low calciotropic hormone levels, therefore decreasing intracellular calcium and lipid contents in adipocytes.<a class="elsevierStyleCrossRef" href="#bib0275"><span class="elsevierStyleSup">25</span></a></p><p id="par0155" class="elsevierStylePara elsevierViewall">On the other hand, calcium has been seen to dose-dependently increase the fecal excretion of fatty acids. A person consuming 2500<span class="elsevierStyleHsp" style=""></span>kcal with one third of the energy coming from fat and also taking 2<span class="elsevierStyleHsp" style=""></span>g of elemental calcium daily, could be expected to excrete an additional 1% of energy from fat daily, and an energy loss of 3010<span class="elsevierStyleHsp" style=""></span>kcal/year in feces could be anticipated. This energy deficiency could cause a change in body weight of −0.4<span class="elsevierStyleHsp" style=""></span>kg/year. The effects of calcium on fat excretion are however insufficient to explain the greater difference in body weight shown by some studies in animals and humans, particularly of calcium from dairy products. Studies conducted in transgenic mice have also shown that high calcium diets stimulate the expression of the uncoupling proteins in adipose tissue (UCP)2 and skeletal muscle (UCP)3.<a class="elsevierStyleCrossRefs" href="#bib0280"><span class="elsevierStyleSup">26,27</span></a></p><p id="par0160" class="elsevierStylePara elsevierViewall">An additional mechanism by which dietary calcium intake may affect body adiposity is an effect on triacylglycerol absorption from the gastrointestinal tract. Calcium fortification has been shown to increase the percentage of saturated fat excreted in feces by 6–13% daily. A high calcium diet also significantly decreased total cholesterol by 6%, LDL cholesterol by 13%, and the apolipoprotein B level by 7% as compared to a low calcium diet. Dietary calcium intake may therefore be inversely related to the development of metabolic syndrome.<a class="elsevierStyleCrossRef" href="#bib0290"><span class="elsevierStyleSup">28</span></a> It would be interesting to assess whether greater calcium intake, mainly from diet, not only decreases the risk of developing overweight or obesity, but also whether the apparent lowering effect on lipid and glucose levels is able to reduce long-term cardiovascular risk.</p><p id="par0165" class="elsevierStylePara elsevierViewall">Our study mainly found that dietary calcium intake is the factor with the greatest correlation to total and abdominal adiposity, and also to the presence of overweight and obesity, while the intake of dairy products also showed a negative correlation, although not a significant one. This agrees with most studies, which found a negative correlation between the dietary intake of calcium, especially from dairy products, and the development of overweight and obesity.<a class="elsevierStyleCrossRef" href="#bib0295"><span class="elsevierStyleSup">29</span></a></p><p id="par0170" class="elsevierStylePara elsevierViewall">The explanation for the lack of a significant correlation in our study between dairy product intake and adiposity level, in contrast to the significant association found for dietary calcium, may be that no differentiation was made of the type of dairy products preferentially consumed, i.e. if they were whole milk or skimmed milk products. Most probably, in agreement with our dietary habits, a majority consumed whole milk dairy products with high fat contents, which would explain the poor correlation between the consumption of dairy products and body adiposity, while total calcium intake was negatively and significantly associated with total adiposity, and especially with clinically important abdominal adiposity, which is closely related to glucose metabolism, hypertriglyceridemia, low HDL cholesterol, increased blood pressure, metabolic syndrome, type 2 diabetes, and cardiovascular disease.<a class="elsevierStyleCrossRef" href="#bib0300"><span class="elsevierStyleSup">30</span></a> An alternative explanation for the non-significant association between dairy product intake and the development of overweight may be the small sample size of the study.</p><p id="par0175" class="elsevierStylePara elsevierViewall">In any case, regardless of the mechanism involved, most studies support the conclusion that dietary calcium may play a role in body fat regulation and the hypothesis that increased dietary calcium intake may decrease future weight gain and reduce the risk of developing cardiometabolic disorders. However, only small clinical studies specifically designed for exploring the effects of dietary calcium on body weight, total adiposity, and lipid and glucose levels have been conducted. Prospective clinical studies should be conducted to determine whether body weight may be modified by calcium supplementation or by increasing low-fat dairy products in diet, and whether these measures may also decrease the risk of developing those metabolic changes related to visceral fat accumulation, such as diabetes or cardiovascular disease.</p></span><span id="sec0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0095">Funding</span><p id="par0180" class="elsevierStylePara elsevierViewall">The authors state that they have received no funding for the conduct of this research.</p></span><span id="sec0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0100">Conflicts of interest</span><p id="par0185" class="elsevierStylePara elsevierViewall">The authors state that they have no conflicts of interest related to the conduct of this research study.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:13 [ 0 => array:3 [ "identificador" => "xres618587" "titulo" => "Abstract" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background and objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Materials and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] 1 => array:2 [ "identificador" => "xpalclavsec632612" "titulo" => "Keywords" ] 2 => array:3 [ "identificador" => "xres618588" "titulo" => "Resumen" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Antecedentes y objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Materiales y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] 3 => array:2 [ "identificador" => "xpalclavsec632613" "titulo" => "Palabras clave" ] 4 => array:2 [ "identificador" => "sec0005" "titulo" => "Introduction" ] 5 => array:2 [ "identificador" => "sec0010" "titulo" => "Objectives" ] 6 => array:3 [ "identificador" => "sec0015" "titulo" => "Materials and methods" "secciones" => array:1 [ 0 => array:2 [ "identificador" => "sec0020" "titulo" => "Definition of variables" ] ] ] 7 => array:2 [ "identificador" => "sec0025" "titulo" => "Results" ] 8 => array:2 [ "identificador" => "sec0030" "titulo" => "Discussion" ] 9 => array:2 [ "identificador" => "sec0035" "titulo" => "Funding" ] 10 => array:2 [ "identificador" => "sec0040" "titulo" => "Conflicts of interest" ] 11 => array:2 [ "identificador" => "xack208212" "titulo" => "Acknowledgments" ] 12 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "fechaRecibido" => "2015-09-03" "fechaAceptado" => "2015-10-27" "PalabrasClave" => array:2 [ "en" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Keywords" "identificador" => "xpalclavsec632612" "palabras" => array:5 [ 0 => "Adolescents" 1 => "Calcium" 2 => "Intake" 3 => "Adiposity" 4 => "Overweight" ] ] ] "es" => array:1 [ 0 => array:4 [ "clase" => "keyword" "titulo" => "Palabras clave" "identificador" => "xpalclavsec632613" "palabras" => array:5 [ 0 => "Adolescentes" 1 => "Calcio" 2 => "Ingesta" 3 => "Adiposidad" 4 => "Sobrepeso" ] ] ] ] "tieneResumen" => true "resumen" => array:2 [ "en" => array:3 [ "titulo" => "Abstract" "resumen" => "<span id="abst0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Background and objective</span><p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">The prevalence and magnitude of obesity in children and adolescents increase rapidly. Besides genetic and environmental factors, calcium intake has recently been identified as a dietary factor that is inversely related with body mass index and development of overweight and obesity.</p><p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">The purpose of this study was to assess the correlation between dietary calcium intake and body mass index and fat distribution in female adolescents.</p></span> <span id="abst0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Materials and methods</span><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">This was a cross-sectional study where anthropometric variables (weight, height, body mass index, waist and hip circumference) were collected in 244 female adolescents to establish total body adiposity and fat distribution. A 24-h recall and a food frequency questionnaire were used to assess total calorie, calcium, and dairy products intake.</p></span> <span id="abst0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0020">Results</span><p id="spar0020" class="elsevierStyleSimplePara elsevierViewall">Calcium intake was inversely related to body mass index (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>.05), waist circumference (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>.05), hip circumference (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>.05), and waist to hip ratio (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>.05).Overweight (8.3%) and obese (0.7%) adolescents had a lower mean calcium intake than adolescents of normal weight (<span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>.06).</p></span> <span id="abst0020" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0025">Conclusions</span><p id="spar0030" class="elsevierStyleSimplePara elsevierViewall">Dietary calcium intake and, to a lesser extent, consumption of dairy products are inversely related to total and abdominal adiposity, and also to the prevalence of overweight in this group of adolescents.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0005" "titulo" => "Background and objective" ] 1 => array:2 [ "identificador" => "abst0010" "titulo" => "Materials and methods" ] 2 => array:2 [ "identificador" => "abst0015" "titulo" => "Results" ] 3 => array:2 [ "identificador" => "abst0020" "titulo" => "Conclusions" ] ] ] "es" => array:3 [ "titulo" => "Resumen" "resumen" => "<span id="abst0025" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0035">Antecedentes y objetivo</span><p id="spar0035" class="elsevierStyleSimplePara elsevierViewall">La prevalencia y magnitud de la obesidad en niños y adolescentes se incrementa aceleradamente. Aparte de los factores genéticos y ambientales, se ha identificado recientemente la ingesta de calcio dietético como uno de los factores que se correlaciona inversamente con el índice de masa corporal y con el desarrollo de sobrepeso y obesidad.</p><p id="spar0040" class="elsevierStyleSimplePara elsevierViewall">El objetivo del presente estudio es determinar la correlación entre la ingesta dietética de calcio con el índice de masa corporal y la distribución de la grasa en adolescentes mujeres.</p></span> <span id="abst0030" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0040">Materiales y métodos</span><p id="spar0045" class="elsevierStyleSimplePara elsevierViewall">Es un estudio de corte transversal en el cual se realizó la evaluación antropométrica (peso, talla, índice de masa corporal, circunferencia de cintura, circunferencia de cadera) en 244 adolescentes mujeres, para establecer la adiposidad corporal total y la distribución de la grasa. Se utilizó el recordatorio de 24<span class="elsevierStyleHsp" style=""></span>h y un cuestionario de frecuencia de consumo para determinar la ingesta calórica total, ingesta de calcio y consumo de lácteos.</p></span> <span id="abst0035" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0045">Resultados</span><p id="spar0050" class="elsevierStyleSimplePara elsevierViewall">La ingesta de calcio se correlacionó inversamente con el índice de masa corporal (p<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0,05), circunferencia de cintura (p<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0,05), circunferencia de cadera (p<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>0,05) e índice cintura cadera (p<span class="elsevierStyleHsp" style=""></span><<span class="elsevierStyleHsp" style=""></span>0,05).</p><p id="spar0055" class="elsevierStyleSimplePara elsevierViewall">Las adolescentes con sobrepeso (8,3%) y obesidad (0,7%) tuvieron una ingesta promedio de calcio inferior al de las adolescentes de peso normal (p<span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0,06).</p></span> <span id="abst0040" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0050">Conclusiones</span><p id="spar0060" class="elsevierStyleSimplePara elsevierViewall">La ingesta dietética de calcio y en menor grado el consumo de productos lácteos se relaciona inversamente con la adiposidad total y abdominal así como con la prevalencia de sobrepeso en las adolescentes estudiadas.</p></span>" "secciones" => array:4 [ 0 => array:2 [ "identificador" => "abst0025" "titulo" => "Antecedentes y objetivo" ] 1 => array:2 [ "identificador" => "abst0030" "titulo" => "Materiales y métodos" ] 2 => array:2 [ "identificador" => "abst0035" "titulo" => "Resultados" ] 3 => array:2 [ "identificador" => "abst0040" "titulo" => "Conclusiones" ] ] ] ] "NotaPie" => array:1 [ 0 => array:2 [ "etiqueta" => "☆" "nota" => "<p class="elsevierStyleNotepara" id="npar0005">Please cite this article as: Castro Burbano J, Fajardo Vanegas P, Robles Rodríguez J, Pazmiño Estévez K. Relación entre ingesta dietética de calcio y adiposidad corporal en adolescentes mujeres. Endocrinol Nutr. 2016;63:58–63.</p>" ] ] "multimedia" => array:3 [ 0 => array:7 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <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">Predictive variable \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">Anthropometric measurements \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"><span class="elsevierStyleItalic">r</span> \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"><span class="elsevierStyleItalic">p</span> \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">Calcium intake (mg) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Body mass index (BMI) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.21 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.001 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">BMI percentile \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.13 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.040 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Waist circumference \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.17 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.007 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Hip circumference \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.081 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.20 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">Waist/hip ratio \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">−0.14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0.026 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1012681.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0065" class="elsevierStyleSimplePara elsevierViewall">Multiple regression analysis between calcium intake and different anthropometric parameters.</p>" ] ] 1 => array:7 [ "identificador" => "tbl0010" "etiqueta" => "Table 2" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <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-with-role" title="table-head ; entry_with_role_rowhead " align="left" valign="top" scope="col">Nutritional status \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " colspan="5" align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Mean intake of</th></tr><tr title="table-row"><th class="td" title="table-head " align="" valign="top" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Calcium (mg) \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">SD \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">Calories \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">SD \t\t\t\t\t\t\n \t\t\t\t</th><th class="td" title="table-head " align="center" valign="top" scope="col" style="border-bottom: 2px solid black">No. \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">Low weight \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">453.00 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">338.28 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.992.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">789.8 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14 \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">Normal weight \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">507.84 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">367.98 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.736.7 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">742 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">206 \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">Overweight \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">494.73 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">386.84 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1336.5 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">483.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">24 \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">Total \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">485.19 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">364.36 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">1.738.10 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">738.1 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">244 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.06 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.005 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1012682.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0070" class="elsevierStyleSimplePara elsevierViewall">Calorie and calcium intake by nutritional status.</p>" ] ] 2 => array:7 [ "identificador" => "tbl0015" "etiqueta" => "Table 3" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "tabla" => array:1 [ "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <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">Calcium intake \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">Low weight \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 \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 \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 \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">Very low \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 (57%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">97 (47.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14 (63.6%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2 (100%) \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">Low \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">5 (35.7%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">97 (47.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">8 (36.4%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0 (0%) \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">Adequate \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">1 (7.1%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">12 (5.8%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">0 (0%) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">0 (0%) \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">Total \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">14 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">206 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="char" valign="top">22 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="left" valign="top">2 \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"><span class="elsevierStyleItalic">p</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>0.48 \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="table-entry " align="" valign="top"> \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab1012683.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0075" class="elsevierStyleSimplePara elsevierViewall">Relationship between calcium intake and body weight.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0005" "bibliografiaReferencia" => array:30 [ 0 => array:3 [ "identificador" => "bib0155" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Doenças crônicas não transmissíveis no Brasil: carga e desafios atuais. 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2024 September | 31 | 7 | 38 |
2024 August | 31 | 3 | 34 |
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2024 March | 31 | 2 | 33 |
2024 February | 22 | 8 | 30 |
2024 January | 15 | 3 | 18 |
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2023 November | 27 | 7 | 34 |
2023 October | 23 | 5 | 28 |
2023 September | 18 | 0 | 18 |
2023 August | 16 | 8 | 24 |
2023 July | 19 | 6 | 25 |
2023 June | 15 | 5 | 20 |
2023 May | 16 | 4 | 20 |
2023 April | 20 | 5 | 25 |
2023 March | 21 | 4 | 25 |
2023 February | 25 | 1 | 26 |
2023 January | 16 | 4 | 20 |
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2022 November | 40 | 5 | 45 |
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2021 September | 30 | 15 | 45 |
2021 August | 51 | 6 | 57 |
2021 July | 25 | 13 | 38 |
2021 June | 19 | 12 | 31 |
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2021 April | 79 | 31 | 110 |
2021 March | 78 | 10 | 88 |
2021 February | 47 | 15 | 62 |
2021 January | 66 | 24 | 90 |
2020 December | 62 | 30 | 92 |
2020 November | 111 | 40 | 151 |
2020 October | 77 | 16 | 93 |
2020 September | 42 | 13 | 55 |
2020 August | 41 | 14 | 55 |
2020 July | 55 | 16 | 71 |
2020 June | 24 | 10 | 34 |
2020 May | 35 | 9 | 44 |
2020 April | 27 | 5 | 32 |
2020 March | 41 | 5 | 46 |
2020 February | 32 | 12 | 44 |
2020 January | 31 | 5 | 36 |
2019 December | 25 | 13 | 38 |
2019 November | 27 | 17 | 44 |
2019 October | 18 | 3 | 21 |
2019 September | 27 | 11 | 38 |
2019 August | 13 | 8 | 21 |
2019 July | 21 | 17 | 38 |
2019 June | 25 | 13 | 38 |
2019 May | 86 | 20 | 106 |
2019 April | 21 | 26 | 47 |
2019 March | 10 | 5 | 15 |
2019 February | 13 | 11 | 24 |
2019 January | 6 | 4 | 10 |
2018 December | 8 | 2 | 10 |
2018 November | 7 | 4 | 11 |
2018 October | 10 | 5 | 15 |
2018 September | 23 | 5 | 28 |
2018 August | 4 | 1 | 5 |
2018 July | 3 | 7 | 10 |
2018 June | 7 | 5 | 12 |
2018 May | 12 | 2 | 14 |
2018 April | 7 | 3 | 10 |
2018 March | 3 | 0 | 3 |
2018 February | 10 | 1 | 11 |
2018 January | 5 | 2 | 7 |
2017 December | 13 | 0 | 13 |
2017 November | 12 | 1 | 13 |
2017 October | 12 | 3 | 15 |
2017 September | 12 | 3 | 15 |
2017 August | 20 | 0 | 20 |
2017 July | 4 | 5 | 9 |
2017 June | 18 | 15 | 33 |
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2017 March | 26 | 35 | 61 |
2017 February | 40 | 3 | 43 |
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2016 November | 14 | 2 | 16 |
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2016 September | 40 | 7 | 47 |
2016 August | 23 | 1 | 24 |
2016 May | 0 | 1 | 1 |