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A population-based study of Sedentary Behavior, Coffee and Caffeine Intake, Education Level Associated with Obesity Risk among Young Adult

Published online by Cambridge University Press:  05 October 2018

Esti Nurwanti
Affiliation:
International Graduate Program in Medicine, College of Medicine, Taipei Medical University, Taiwan Department of Nutrition, Faculty of Health Science, Universitas Alma Ata, Yogyakarta, Indonesia
Chyi-Huey Bai
Affiliation:
International Graduate Program in Medicine, College of Medicine, Taipei Medical University, Taiwan Department of Public Health, College of Medicine, Taipei Medical University, Taiwan School of Public Health, College of Public Health, Taipei Medical University, Taiwan.
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Abstract

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Copyright © The Authors 2018 

Low activity and high sitting was associated with increased obesity odds among young adults(Reference Cleland, Schmidt, Salmon, Dywer and Venn1). But, high coffee intake can reduce the risk of obesity(Reference Nordestgaard, Thomsen and Nordestgaard2). College graduate and not college graduate have different sedentary behavior and coffee and caffeine intake. Presumably, education level can affect relationship between sedentary behavior, coffee and caffeine intake, and obesity. The aim of this study is to examine the association between sedentary behavior, coffee and caffeine intake, and obesity risk among college graduate and not college graduate in Indonesia.

This study using secondary data from Indonesian Basic Health Research survey which was collected in 2013. Then, 218,975 adults aged 18–35 years were selected. Education level was categorized into 2 groups: college graduate and not college graduate. They were measured body mass index and were interviewed to evaluate sedentary behavior and dietary intake using validated questionnaire with physical activity and food card. BMI was calculated as weight (kg)/height (m2) and was determined based on WHO for Asian Population: normal weight (18·5 to < 23 kg/m2), overweight (23·0 to < 27·5 kg/m2) and obese (⩾27·5 kg/m2)(3). Sedentary behavior were recorded as hours. Sedentary activity were coded as (1) < 3 h, (2) 3–5 h, (3) ⩾ 6 h based on other study(Reference Katzmarzyk and Lee4).

Among obese people, the percentage of not college graduate (9·41 %) were higher than college graduate (1·28 %). The percentage of moderate sedentary behavior (4·36 %) also higher than low sedentary (3·92 %) or high sedentary (2·41 %) behavior. Then, the percentage of low coffee (8·36 %) and caffeine (10·10 %) beverages intake also higher than high intake of coffee (2·34 %) and caffeine beverages (0·59 %). Pearson Chi-Square analysis was showed that sedentary behavior significantly associated with the presence of obesity among not college graduate (p < 0·001), but college graduate were not significant (P = 0·2109). Coffee intake also have significantly associated with obesity both in college graduate and not college graduate (p = 0·0012 and p < 0·0001). Similar significant association also found in Caffeine beverages (except coffee) with obesity both in college graduate and not college graduate (p = 0·0057 and p = 0·0226).

In conclusion, physical activity education to reduce sedentary behavior is particularly important, especially among those who have low education level. Moreover, coffee and caffeine consumption may be can reduce obesity risk among young adult.

References

1.Cleland, V, Schmidt, M, Salmon, J, Dywer, T & Venn, A (2014) Combined associations of sitting time and physical activity with obesity in young adults. J Phys Act Health 11(1), 136–44.CrossRefGoogle ScholarPubMed
2.Nordestgaard, AT, Thomsen, M & Nordestgaard, BG (2015) Coffee intake and risk of obesity, metabolic syndrome and type 2 diabetes: a Mendelian randomization study. Int J Epidemiol 44(2), 551–65.CrossRefGoogle ScholarPubMed
3.WHO (2004) Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies. The Lancet 363, 157–63.CrossRefGoogle Scholar
4.Katzmarzyk, PT & Lee, IM (2012) Sedentary behaviour and life expectancy in the USA: a cause-deleted life table analysis. BMJ Open 2(4).CrossRefGoogle ScholarPubMed

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