metricas
covid
Buscar en
Enfermería Clínica
Toda la web
Inicio Enfermería Clínica Association between walking time spent and high sensitivity C-reactive protein l...
Información de la revista
Vol. 29. Núm. S2.
The Second International Nursing Scholar Congress (INSC 2018) of Faculty of Nursing, Universitas Indonesia.
Páginas 96-100 (septiembre 2019)
Compartir
Compartir
Descargar PDF
Más opciones de artículo
Visitas
3521
Vol. 29. Núm. S2.
The Second International Nursing Scholar Congress (INSC 2018) of Faculty of Nursing, Universitas Indonesia.
Páginas 96-100 (septiembre 2019)
Acceso a texto completo
Association between walking time spent and high sensitivity C-reactive protein level among obese women
Visitas
3521
Azlina Daud
Autor para correspondencia
damia@iium.edu.my

Corresponding author.
, Siti Sarah Hasanah Abu Bakar Sedek, Siti Zuhaidah Shahadan
Kulliyyah of Nursing, International Islamic University Malaysia, Pahang Darul Makmur, Malaysia
Este artículo ha recibido
Información del artículo
Resumen
Texto completo
Bibliografía
Descargar PDF
Estadísticas
Abstract
Objective

This study aims to assess the association between the walking time spent and high sensitivity C-reactive protein (hs-CRP) level to determine the risk for cardiovascular disease (CVD) among obese women.

Methods

Cross-sectional study was conducted in Kuantan, Pahang. The purposive sampling method was chosen. 76 obese women aged 18 years old and above were included in the study. Data were collected by using the set of the self-reported questionnaire consisted of socio-demographic and the walking time for the past 7 days. The sample blood test was taken to check for hs-CRP level.

Results

Walking time spent in minutes was found to be significantly inverse associated with the hs-CRP level (p=0.040) among obese women.

Conclusion

The increase in walking time spent can help reduce the hs-CRP level, therefore reduce the risk for CVD.

Keywords:
Obese
Women
Walking
hs-CRP
Cardiovascular disease
Texto completo
Introduction

Over recent years, rates for obesity have rocketed, in most parts of the world, to epidemic proportions. Worldwide obesity has shown a marked increase over the past four decades World Health Organisation (WHO),1 whereas rates of obesity in Asian countries have been the lowest worldwide.2 However, Asian countries have experienced alarming rates in recent years.2 In Asia, Malaysia has the highest obesity rate, with 14%, followed by Thailand, with 8.8%.2 The number of obese women has surpassed the number of obese men.2 This has been supported by the findings of the National Health and Morbidity Survey (NHMS)3 the rate of obesity among women being significantly higher (60.2%) than that of men (only 38.2%). Obesity is greatly influenced by various factors, including hereditary, environmental and behavioral factors, as well as aging and pregnancy.4 Factors that contribute to obesity are not solely related to an uncontrolled diet or lack of exercise in daily life, as it is often thought. However, dietary factors and limited physical activity greatly influence the energy balance equation, and they are also the main modifiable factors.3,5 However, gender is strongly associated with obesity, with research showing an increased likelihood among women.5,6 One reason why woman have a strong association with the increase in obesity is that women undergo the process of pregnancy, where they gain weight during the child bearing period.7 Another reason is the increased storage of fat in women, who rely on fat more than men for the reproduction purpose.4

Obesity is often referred to as an excessive accumulation of fat in the body, and this condition may interfere with the maintenance of the maximum state of health.8 They added that obesity is the result of too much adipose tissue, which stimulates the release of an inflammatory mediator and stimulates the liver to synthesize and secrete C-reactive protein. The inflammatory state is one of the risk factors from the development of obesity, which can cause or worsen insulin resistance in adipose tissue.9 In addition, inflammation is an embedded mechanism which also contributes to the development of cardiovascular diseases such as atherosclerosis, metabolic syndrome and diabetes mellitus.8 According to Blüher,9 adipose tissue plays an important role in the relationship between obesity and inflammation which later will affect the normal functioning of the cardiovascular system. Moreover, obesity can trigger the inflammatory response, which is characterized by the increase of inflammatory markers, mainly C-reactive protein (CRP).10,11 Hence, this inflammation will contribute to the development of cardiovascular disease (CVD).8

Walking particularly helps the community to gain the greatest health condition and is one of the physical activities that lessen the risk of CVD, such as heart attacks, hypertension and weight loss.12 Walking is also believed to lessen the hs-CRP level among obese women. It has been proven, in previous studies, that physical activity significantly decreases the hs-CRP level.13,14 Most studies of the relationship between physical activity and hs-CRP level have been carried out on different classes of the population; however, the association between physical activity, specifically walking, and hs-CRP level among obese women has been reported in a few.12,15 Therefore, this study sought to evaluate the association between walking time spent and hs-CRP level among obese women, to determine the risk of CVD.

Method

This is a cross-sectional study of women obesity class I and class II from Kuantan, Pahang. Non-probability sampling was applied to recruit the participants. The sample size was calculated based on the prevalence of obesity among class I and class II adults in Kuantan, Pahang. In the NHMS,3 the prevalence of obesity among class I and class II adults in Pahang was 25% and 5.2%, respectively. Using the Epi Info sample size calculator, a total of 123 participants were needed to represent 80% of the total distribution of obese class I and II adults in Pahang, with a 10% drop-out rate. However, only 61% (76) of the participants completed the data collection procedures. Approval from the Institutional Research Committee Board was obtained before data collection.

The data collection period was between February 2018 and April 2018. Advertisement for participation was done through health screening activities, flyers, and social media networks. All interested participants were invited to screening, which was held at a health clinic in Kuantan. Height and weight were measured to determine the BMI. The research instrument used to measure weight was the Tanita Digital Weighing Scale (Tanita HD319, Japan), to the nearest 0.1 kilograms, and standing height was measured, without shoes, using a SECA Portable Stadiometer (SECA 213 Germany), to the nearest 0.1 centimeters. All interested participants who self-reported any chronic disease or endocrine disorder, pregnant and lactating women, and those taking any medication for a chronic disease, were excluded from this study. With participants’ agreement, written informed consent was obtained. The researcher provided all information with regard to the study. After obtaining informed consent, participants answered the questionnaire, which consisted of-of two parts. Part A collected socio-demographic data, including age, body weight, height, BMI, race, marital status, educational level and employment status, which defined the characteristics of the study participants. Part B was the walking time assessment, relating to the time spent on daily walking activity over the previous seven days. The first question of part B was about the walking time spent for at least a ten-minute session, and the second question related to walking time spent in minutes for each day. After completion of the questionnaires, a blood sample, for hs-CRP, was taken by a registered nurse.

The cut-off points quoted by the Malaysian Clinical Practice Guideline (CPG) for obesity were used to define obesity classes. Obesity class I was defined as a BMI between 27.5 and 34.9kg/m2.16 However, there are no standard cut-off points for hs-CRP stated in the Malaysian CPG. Therefore, a cut-off point for elevated hs-CRP was adopted based on the universal cut-off point, which is at or more than 3mg/L, which indicates inflammation.17

Data were analyzed using Statistical Package for Social Sciences (SPSS) Version 21. Normality determination was done using the Shapiro–Wilk test. Descriptive measures (frequency, percentage) for demographic data, walking time in minutes per day and CVD risk were calculated. Mean, standard deviation, median and interquartile range have been used to present the data, including data on the hs-CRP level and walking time in minutes. A non-normal distribution was found in this study, therefore, to identify the association between walking time spent for at least a ten-minute session for each day and hs-CRP level, the Kruskal–Wallis test was used. To identify the association between walking time spent in minutes for each day and hs-CRP level, a Spearman correlation test was used.

ResultsSocio-demographic data, anthropometric measurements and walking time of the participants

Table 1 shows the demographic background and the anthropometric measurements of the study participants. The mean age of the participants was 28.33 years old (standard deviation (SD)=10.23). The majority of the participants were Malay (97.4%) and certificate holders (61.8%). The majority of the participants were single (73.7%) and students (60.5%). As for anthropometric measurements, the average body weight of the participants was 76.61 kilograms (kg) (SD=10.81), and the average height was 1.55 meters (m) (SD=0.57). Based on the weight and height data, the mean body mass index (BMI) of the participants was 31.69kg/m2 (SD=3.77). The findings also revealed that the participants of this study spent an average of 46.3min/day (SD=41.9) walking.

Table 1.

Socio-demographic data and the walking time of study participants (n=76).

Variables  Mean (SD)  Frequency, n  Percentage, % 
Age (years)  28.33 (±10.23)     
18–27    52  68.4 
28–37    11  14.5 
38–47     
10.5       
48–57    3.9 
58–67    2.6 
≥68   
Ethnicity
Malay    74  97.4 
Non-Malay    2.6 
Marital status
Never married    56  73.7 
Married    18  23.7 
Widow    3.6 
Educational level
Never School   
Primary School    1.3 
Secondary School    17  22.4 
Certification/Diploma    11.8 
Bachelors    47  61.8 
Masters/PhD    2.6 
Occupation
Government/Private    21  27.6 
Self-employed    5.3 
Housewife    2.6 
Retired    1.3 
Student    46  60.5 
Others    2.6 
Working time system
Regular    31  40.8 
Extended hours    7.9 
Shift hours    7.9 
Others    33  43.4 
Walking time spent (minutes)  46.3 (±41.9)     
The hs-CRP level and the risk of CVD

The findings showed that the average level of hs-CRP among the study participants was 6.26mg/L (SD=6.88). In addition, based on the universal cut-off point, which is at or more than 3mg/L, which indicates inflammation (Yousuf et al.17), the hs-CRP level data indicated that 49% of the participants had a high risk of CVD (Table 2).

Table 2.

The risk of CVD of study participants (n=76).

hs-CRP level  Risk of CVD  Frequency, n  Percentage, % 
<1mg/L  Low  22  29 
1–3mg/L  Moderate  17  22 
>3mg/L  High  37  49 
The relationship between walking time spent (in minutes) in a day and hs-CRP level

The relationships between the variables were analyzed and tested using the Spearman correlation test. The findings showed that there was a significant but weak negative association between walking time spent and the hs-CRP level (r=−0.236, p<0.05) (Table 3). The result indicates that as walking time (in minutes) increased, the hs-CRP level decreased.

Table 3.

The relationship between walking time (in minutes) in a day and hs-CRP level (n=76).

Variables  hs-CRP level
  Spearman correlation, r  p-Value 
Walking time (in minutes)  0.236  0.040 
Discussion

In this study of obese women in Kuantan, Pahang, it was found that most of the participants were physically active in terms of walking activity, with an average of 46.3min/day. However, the present findings contradict a previous study by Teh et al.,18 who identified women as a group least active physically and showed levels of physical activity, particularly in walking, among Malaysian women to be lower than those of women in other Asian countries. Lusk et al.19 reported that they found only 39% of obese women spent time on brisk walking with 9min/day. However, this walking time spent is below the recommendation by the American Heart Association (AHA),20 where the minimum daily walking at least 30minutes a day.

The findings of the present study found that most of the obese women had a high hs-CRP level (>3mg/L), and this high level is associated with an increased CVD risk. This is consistent with the findings from a few previous studies. Blaha et al.21 and Choi et al.22 found that a group of obese women had a high hs-CRP level compared with a normal weight group. Moreover, there was a greater correlation between anthropometric measures of obesity and hs-CRP level among obese women.21 Consequently, the high level of hs-CRP will cause a high risk of developing CVD.17

The present study found an inverse association between walking time spent (in minutes) and hs-CRP level. This finding is supported by an intervention study of treadmill walking and hs-CRP level involving 584 participants.12 They found a lower hs-CRP level when walking time increased. Moreover, the current findings are similar to a review by Morettini et al.,15 which found that walking activity was associated with a significant reduction in hs-CRP. They added that individuals who usually walk more have a lower hs-CRP concentration. In contrast, the study by Tuite23 found that self-reported physical activity, such as walking, was not correlated with changes in hs-CRP level.

The overall results of the present study provide convincing evidence on the association between walking time and hs-CRP level. This study can make an important contribution to guiding the community, especially to women in terms of awareness of preventing and reducing the prevalence of obesity. Furthermore, it emphasizes the importance of encouraging the community, especially obese women, to be physically active and to spend more time on simple activities like walking.

Conflict of interests

The authors declare no conflict of interest.

Acknowledgement

This research received project grant funding from the Research Initiative Grant Scheme, International Islamic University Malaysia.

References
[1]
World Health Organization.
Obesity and overweight.
World Health Organization (WHO), (2017),
[2]
W.S. Cheong.
Overweight and obesity in Asia.
Gen Re Publications, (2014),
[3]
Institute for Public Health (IPH).
National Health and Morbidity Survey 2015 (NHMS 2015). Vol. II: Non-communicable diseases, risk factors & other health problems.
(2015),
[4]
J.N. Obulutsa.
Rural urban prevalence and associated factors of overweight and obesity in adult patients seeking.
University of Nairobi, (2015),
[5]
A.M. Oladimeji, O. Fawole, P. Nguku, P. Nsubuga.
Prevalence and factors associated with hypertension and obesity among civil servants in Kaduna, Kaduna State, June 2012.
[6]
R. Ghorbani, M. Nassaji, J. Jandaghi, B. Rostami, N. Ghorbani.
Overweight and obesity and associated risk factors among the Iranian middle-aged women.
Int J Collab Res Int Med Publ Health, 7 (2015), pp. 120
[7]
S.M. Sidik, L. Rampal.
The prevalence and factors associated with obesity among adult women in Selangor, Malaysia.
Asia Pac Fam Med, 8 (2009), pp. 2
[8]
M.S. Ellulu, I. Patimah, H. Khaza’ai, A. Rahmat, Y. Abed.
Obesity and inflammation: the linking mechanism and the complications.
Arch Med Sci, 13 (2017), pp. 851
[9]
M. Blüher.
The inflammatory process of adipose tissue.
Pediatr Endocrinol Rev, 6 (2008), pp. 24-31
[10]
S.M. Reilly, A.R. Saltiel.
Adapting to obesity with adipose tissue inflammation.
Nat Rev Endocrinol, 13 (2017), pp. 633
[11]
H. Rodríguez-Hernández, L.E. Simental-Mendía, G. Rodríguez-Ramírez, M.A. Reyes-Romero.
Obesity and inflammation: epidemiology, risk factors, and markers of inflammation.
Int J Endocrinol, (2013), pp. 2013
[12]
R.A. Nunes, F. Araujo, G.F. Correia, G.T. da Silva, A.J. Mansur.
High-sensitivity C-reactive protein levels and treadmill exercise test responses in men and women without overt heart disease.
Exp Clin Cardiol, 18 (2013), pp. 124
[13]
M. Hamer, S. Sabia, G.D. Batty, M.J. Shipley, A.G. Tabák, A. Singh-Manoux, et al.
Physical activity and inflammatory markers over 10 years: follow-up in men and women from the Whitehall II cohort study.
Circulation, 126 (2012), pp. 928-933
[14]
A.Y. Arikawa, W. Thomas, K.H. Schmitz, M.S. Kurzer.
Sixteen weeks of exercise reduces C-reactive protein levels in young women.
Med Sci Sports Exerc, 43 (2011), pp. 1002-1009
[15]
M. Morettini, F. Storm, M. Sacchetti, A. Cappozzo, C. Mazzà.
Effects of walking on low-grade inflammation and their implications for Type 2 Diabetes.
Prevent Med Rep, 2 (2015), pp. 538-547
[16]
Ministry of Health Malaysia.
Clinical Practice Guidelines on Management of Obesity.
Ministry of Helath Malaysia, (2014),
[17]
O. Yousuf, B.D. Mohanty, S.S. Martin, P.H. Joshi, M.J. Blaha, K. Nasir, et al.
High-sensitivity C-reactive protein and cardiovascular disease: a resolute belief or an elusive link?.
J Am Coll Cardiol, 62 (2013), pp. 397-408
[18]
C.H. Teh, K.K. Lim, Y.Y. Chan, K.H. Lim, O. Azahadi, A.H. Akmar, et al.
The prevalence of physical activity and its associated factors among Malaysian adults: findings from the National Health and Morbidity Survey 2011.
Publ Health, 128 (2014), pp. 416-423
[19]
A.C. Lusk, R.A. Mekary, D. Feskanich, W.C. Willett.
Bicycle riding, walking, and weight gain in premenopausal women.
Arch Intern Med, 170 (2010), pp. 1050-1056
[20]
American Heart Association.
American Heart Association recommendations for physical activity in adults.
American Heart Association, (2017),
[21]
M.J. Blaha, M.J. Budoff, A.P. Defilippis, J.J. Rivera, R. Blankstein, D.H. O’leary, et al.
Association between hsCRP2, coronary artery calcium, and adverse events-implications for the JUPITER population: multi-ethnic study of atherosclerosis (MESA).
[22]
J. Choi, L. Joseph, L. Pilote.
Obesity and C-reactive protein in various populations: a systematic review and meta-analysis.
Obes Rev, 14 (2013), pp. 232-244
[23]
P.K. Tuite, L. Burke, P. Coen, R. Henker, J. Jakicic.
The influence of exercise dose, exercise intensity and weight loss and change in C-reactive protein in sedentary overweight women.
University of Pittsburgh, (2012),

Peer-review under responsibility of the scientific committee of the Second International Nursing Scholar Congress (INSC 2018) of Faculty of Nursing, Universitas Indonesia. Full-text and the content of it is under responsibility of authors of the article.

Copyright © 2019. Elsevier España, S.L.U.. All rights reserved
Descargar PDF
Opciones de artículo
es en pt

¿Es usted profesional sanitario apto para prescribir o dispensar medicamentos?

Are you a health professional able to prescribe or dispense drugs?

Você é um profissional de saúde habilitado a prescrever ou dispensar medicamentos

Quizás le interese:
10.1016/j.enfcli.2020.12.009
No mostrar más