Risk Factors of Central Obesity in Indonesian Men: A Cross-Sectional Data Study of The Indonesia Family Life Survey 5 (IFLS 5)
- Low levels o physical activity are the major risk factor of central obesity among Indonesian men.
- There was a relationship between smoking status, smoker type, cigarette type, physical activity, and meat consumption frequency and the incidence of central obesity.
Obesity is one of the leading health problems in both developed and developing countries. Central obesity can be defined as a condition where excess fat has accumulated in the abdominal area. There are several risk factors that may cause central obesity in men such as smoking habits, physical activity, and dietary habits. This study aimed to analyse the risk factors of central obesity in Indonesian men. This was an analytical observational study using a cross-sectional design. It used secondary data from the Indonesia Family Life Survey (IFLS 5) with a sample size of 4,648 respondents. The variables studied here were smoking status, type of smoker, type of cigarette, physical activity, and meat consumption frequency. Logistic regression analysis was used. The results of this study showed that the mean age of the respondents was 51 years old. There was a relationship between smoking status (p=0.000), type of smoker (p=0.002), type of cigarette (p=0.000), physical activity (p=0.000), and meat consumption frequency (p=0.024) and the incidence of central obesity. The conclusion of the study was that there was a relationship between smoking status, type of smoker, type of cigarette, physical activity, meat consumption frequency, and the incidence of central obesity, all of which were risk factors of central obesity in Indonesian men. A low level of physical activity was the most prominent risk factor associated with central obesity among Indonesian men. From this study, we suggested controlling the risk factors of central obesity by providing education on the dangers of smoking and the importance of physical activity and a balanced nutritional diet.
Banks E (2011). Relationship of obesity to physical activity, domestic activities, and sedentary behaviors: Cross-sectional findings from a national cohort of over 70,000 Thai adults. BMC Public Health 11, 1–14.
Dare S, Mackay D, Pell J (2015). Relationship between smoking and obesity: A cross-sectional study of 499,504 middle-aged adults in the UK general population. PLoS One 10, 1–12.
de Costa M, Vasconcelos A, da Fonseca M (2014). Prevalência de obesidade, excesso de peso e obesidade abdominal e associação com prática de atividade física em uma universidade federal. Rev. Bras. Epidemiol. 17, 421–436.
Direk N, Newson R, Hofman A, et al (2011). Short and long-term effects of smoking on cortisol in older adults. Int. J. Psychophysiol. 80, 157–160.
Flores-Dorantes M, Díaz-López Y, Gutiérrez-Aguilar R (2020). Environment and gene association with obesity and their impact on neurodegenerative and neurodevelopmental diseases. Front. Neurosci. 14, 1–24.
Johan A, Dewanti L, Putri A, et al (2022). The effect of orlistat administration in change of glycemic control and weight loss of obesity or overweight patients with type 2 diabetes mellitus. Folia Medica Indones. 58, 74–79.
Kim Y, Jeong S, Yoo B, et al (2016). Associations of smoking with overall obesity, and central obesity: A cross-sectional study from the Korea National Health and Nutrition Examination Survey (2010-2013). Epidemiol. Health 38, 1–7.
Kiviniemi M, Kozlowski L (2015). Deficiencies in public understanding about tobacco harm reduction: Results from a United States national survey. Harm Reduct. J. 12, 1–7.
Lee O, Lee D, Lee S, et al (2016). Associations between physical activity and obesity defined by waist-to-height ratio and body mass index in the Korean population. PLoS One 11, 1–11.
Murphy C, Rohsenow D, Johnson K, et al (2018). Smoking and weight loss among smokers with overweight and obesity in Look AHEAD. Heal. Psychol. 37, 399–406.
Ng M, Fleming T, Robinson M, et al (2014). Global, regional, and national prevalence of overweight and obesity in children and adults during 1980–2013: A systematic analysis for the Global Burden of Disease Study 2013. Lancet 384, 766–781.
Oh S (2019). Obesity, sarcopenia, and smoking: Landscape in the mist. Korean J. Fam. Med. 40, 61–62.
Owolabi E, Goon D, Adeniyi O (2017). Central obesity and normal-weight central obesity among adults attending healthcare facilities in Buffalo City Metropolitan municipality, South Africa: A cross-sectional study. J. Heal. Popul. Nutr. 36, 1–10.
Setia M (2016). Methodology series module 3: Cross-sectional studies. Indian J. Dermatol. 61, 261–264.
Tehernof A, Després J (2013). Pathophysiology of human visceral obesity: An update. Physiol. Rev. 93, 359–404.
Wang Z, Zhang D, Zhai F, et al (2014). Fatty and lean red meat consumption in China: Differential association with Chinese abdominal obesity. Nutr. Metab. Cardiovasc. Dis. 24, 869–876.
Witoelar F, Strauss J, Sikoki B (2012). Socioeconomic success and health in later life: Evidence from the Indonesia family life survey. In: Aging in Asia: Findings from New and Emerging Data Initiatives. National Academies Press, Washington, DC.
You W, Henneberg M (2016). Meat in modern diet, just as bad as sugar, correlates with worldwide obesity: An ecological analysis. J. Nutr. Food Sci. 6, 1–10.
Zhao J, Su C, Sun J, et al (2021). Relationship between smoking status and obesity risk in males aged 18-64 years in 9 provinces of China, 1991-2015. Zhonghua Liu Xing Bing Xue Za Zhi 42, 1962–1968.
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