Modifying effects of education on the association between lifestyle behaviors and the risk of obesity: evidence from South Korea

Chung, Woojin; Lee, Sun-Mi; Lim, Seung Ji; Kim, Jaeyeun

doi:10.1186/s12889-016-3776-4

Cited by 5 publications

(6 citation statements)

References 39 publications

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“…High education may have positive effect on reducing number of having lifestyle risk factors [27,28]. Subjects educated above high school have lower possibility of having three or four risk factors than subjects with primary of middle school education.…”

Section: Discussionmentioning

confidence: 99%

Clustering of four major lifestyle risk factors among Korean adults with metabolic syndrome

Ha¹,

Choi²,

Lee³

2017

PLoS ONE

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The purpose of this study was to investigate the clustering pattern of four major lifestyle risk factors—smoking, heavy drinking, poor diet, and physical inactivity—among people with metabolic syndrome in South Korea. There were 2,469 adults with metabolic syndrome aged 30 years or older available with the 5th Korean National Health and Nutrition Examination Survey dataset. We calculated the ratio of the observed to expected (O/E) prevalence for the 16 different combinations and the prevalence odds ratios (POR) of four lifestyle risk factors. The four lifestyle risk factors tended to cluster in specific multiple combinations. Smoking and heavy drinking was clustered (POR: 1.86 for male, 4.46 for female), heavy drinking and poor diet were clustered (POR: 1.38 for male, 1.74 for female), and smoking and physical inactivity were also clustered (POR: 1.48 for male). Those who were male, younger, low-educated and living alone were much more likely to have a higher number of lifestyle risk factors. Some helpful implications can be drawn from the knowledge on clustering pattern of lifestyle risk factors for more effective intervention program targeting metabolic syndrome.

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Section: Discussionmentioning

confidence: 99%

Clustering of four major lifestyle risk factors among Korean adults with metabolic syndrome

Ha¹,

Choi²,

Lee³

2017

PLoS ONE

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“…36 In South Korea and China, women with lower educational attainment are more likely to have obesity compared to women with higher educational attainment, though the opposite is true for men. 37,38 Stage 3 of the obesity transition is primarily characterised by a closing of the gender gap, and a reversal of the socioeconomic differences due to an acceleration of obesity among previously lower-BMI sub-populations in Stage 2 (as opposed to declines in the prevalence of obesity in any sub-population). The prevalence among children continues to increase, although the patterns by gender and socioeconomic status are more mixed than for adults.…”

Section: Stages Of the Obesity Transitionmentioning

confidence: 99%

The obesity transition: stages of the global epidemic

Jaacks

Vandevijvere

Pan

et al. 2019

The Lancet Diabetes & Endocrinology

872

575

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Our aim was to consolidate the evidence on the epidemiology of obesity into a conceptual model of the 'obesity transition'. Illustrative examples from the thirty most populous countries, representing 77•5% of the world's population, were used. Stage 1 of the obesity transition is characterised by a higher prevalence in women compared to men, in those with higher compared to lower socioeconomic status, and adults compared to children. Many countries in South Asia and sub-Saharan Africa are at this stage. In Stage 2, there is a large increase in the prevalence among adults, a smaller increase among children, and a narrowing of the gender gap and socioeconomic differences among women. Many Latin American and Middle Eastern countries are at this stage. High-income East Asian countries are also at this stage, albeit with a much lower prevalence of obesity. Stage 3 occurs when the prevalence of obesity among those with lower socioeconomic status surpasses that among those with higher socioeconomic status and plateaus in obesity may be observed among women with high socioeconomic status and children. Most European countries are currently at this stage. There are too few signs of countries entering into the proposed final stage of declining obesity prevalence to determine demographic patterns. This conceptual model is intended to provide guidance to researchers and policymakers in identifying the current stage of

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“…However, no study has performed a multi-dimensional analysis of the associations between these variables and education level in relation to obesity, except one recent study that dealt with the associations between lifestyle behaviours and education level relation to obesity [105]. This study considered a total of six lifestyle behaviours-smoking status, the risk from drinking alcohol, physical exercise activity, daily sleep duration, daily energy intake, and level of stress-and reported that the modifying effects of education level on the associations between lifestyle behaviours and obesity depend on both sex and lifestyle behaviour [105]. Similar to this study, future studies need to elucidate how a person's characteristics influence, either as a confounder or an effect modifier, the association between a person's education level and risk of obesity.…”

Section: Discussionmentioning

confidence: 99%

“…Fourth, for expository convenience, this study precluded the interactions between education level and other covariates. Some recent studies found that education plays a role as either a confounder or modifier in the associations between other socioeconomic status indicators (or health lifestyles) and obesity risk [105,107]. Fifth, because of the small number of participants with college or higher level of education in older people, particularly for women, the CIs of the predicted probability of obesity in participants with college or higher level of education tended to widen as they got older.…”

Section: Limitationsmentioning

confidence: 99%

A Reversal of the Association between Education Level and Obesity Risk during Ageing: A Gender-Specific Longitudinal Study in South Korea

Chung

Kim

2020

IJERPH

Self Cite

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This study aimed to examine and quantify obesity risk across different education levels during ageing using the dataset of a nationally representative longitudinal survey. A total of 45,391 observations of 9991 individuals aged ≥45 years were included in this study. Obesity was defined as a body mass index of ≥25, according to a guideline for Asians by the World Health Organization, and education level was grouped into three categories. Socio-demographics, lifestyles, and health conditions were used as covariates. Adjusted odds ratios and predicted probabilities of obesity were computed and adjusted for a complex survey design. With respect to gender, education level and age were significantly associated with obesity risk, and the association was stronger in women than in men. Furthermore, education level was negatively associated with obesity risk in the middle age in each gender. However, the association became positive in the old age, specifically among highly educated women. Therefore, policy efforts to reduce obesity risk and the resulting education gradients should be established based on studies considering their old age. Further longitudinal studies are required to examine whether these findings are valid in other socio-cultural or economic settings.

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Modifying effects of education on the association between lifestyle behaviors and the risk of obesity: evidence from South Korea

Cited by 5 publications

References 39 publications

Clustering of four major lifestyle risk factors among Korean adults with metabolic syndrome

Clustering of four major lifestyle risk factors among Korean adults with metabolic syndrome

The obesity transition: stages of the global epidemic

A Reversal of the Association between Education Level and Obesity Risk during Ageing: A Gender-Specific Longitudinal Study in South Korea

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