Clustering of health risk behaviors for chronic diseases in Korean adults

Choi

et al. 2021

IJERPH

Self Cite

Recently, there has been a notable rise in binge drinking and in the popularity of eating broadcasts via TV and online platforms, especially in Korea. This study analyzed the moderating effect of the eating broadcast viewing experience on the relationship between binge drinking and obesity-related eating behaviors. Cross-sectional self-reported online survey data were collected from 1125 Korean adults. Moderation models for restrained, emotional, and external eating behaviors were tested using moderation analyses with Hayes’s PROCESS version 3.5 compatible with SPSS. As a result, the eating broadcast viewing experience moderated the relationship between binge drinking frequency and external eating (Fchange = 2.686, p = 0.045). More frequent binge drinking was associated with a higher level of external eating in participants who only watched online eating broadcasts, especially among women. Participants in their twenties showed the same above association; additionally, those who only watched TV eating broadcasts showed an inverse association, indicating that more frequent binge drinking was associated with a lower level of external eating. Consequently, an eating broadcast viewing experience was one of the environmental factors associated with binge drinking that influences obesity-related eating behaviors.

Section: Discussionmentioning

confidence: 99%

Binge Drinking and Obesity-Related Eating: The Moderating Roles of the Eating Broadcast Viewing Experience among Korean Adults

Choi

et al. 2021

IJERPH

Self Cite

“…To assess lifestyle factors, lifetime smoking was used as a variable, as was alcohol consumption per week. High-risk drinking was defined as drinking 7 or more glass in two times a week for males and drinking 5 or more glass in two times in a week for females [17]. Obesity was defined in terms of body mass index (BMI; kg/m 2 ) based on measurements of weight and height.…”

Section: Methodsmentioning

confidence: 99%

Effects of adults’ health behaviors and combinations thereof on health outcomes: an analysis using National Health Insurance Service of Korea cohort data

Park

2019

Epidemiol Health

OBJECTIVESThe purpose of this study was to estimate the effects of health-risk behaviors, alone and in combination, on health outcomes.METHODSThis study used sample cohort data provided by the National Health Insurance Service focusing on the use of hospital services, direct medical expenses, length of stay, and re-entry rate according to health-risk behaviors. A frequency analysis and the chi-square test were used to investigate associations between the demographic characteristics of study subjects and their health-risk behaviors. The strength of the association of each factor was calculated as the odds ratio in a crossover analysis.RESULTSObesity had the largest effect, especially in combination with smoking and drinking. In particular, significant associations were shown with the duration of hospitalization and direct medical expenses. After adjustment for sex, age, economic status, and pre-existing medical conditions, the duration of hospitalization was 7.37 times longer and that of medical expenses was 5.18 times higher in the obese group relative to the non-obese group. Drinking showed a statistically significant association with the number of days of hospitalization. After adjusting for the control variables, the number of hospital days was 1.24 longer in the drinking group than in the non-drinking group.CONCLUSIONSAn analysis of combinations of health risk factors showed obesity had the largest effect.

“…Smoking, high-risk drinking, and lack of physical activity are risk factors for poor health, but improving them can prevent or delay the worsening of chronic diseases [ 2 ]. Engaging in multiple risky behaviors is associated with a greater risk of chronic disease and mortality as compared with engaging in one or no risk behaviors [ 3 , 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Residential Characteristics as Factors Related to Healthy Behavior Practices—Decision Tree Model Analysis Using a Community Health Survey from Korea

Seo

Park

2022

IJERPH

In this study, we sought to identify relevant factors in healthy behavior practices, including not only individual-level variables but also regional and physical environments. Data from the Korea Community Health Survey (KCHS) of Gyeongsangnam-do in 2018 were used, with data from 16,519 of the 17,947 individuals (excluding 1428 individuals who had missing values) who participated in the survey. Healthy behavior practices were defined as meeting the criteria for all three modifiable healthy behaviors (non-smoking, moderate alcohol consumption, regular walking). A decision tree analysis was performed. In men, healthy behavior practices were lower in the unemployed population, in those aged 40–50 years, living in rural residential areas, and with stress. For women who lived in areas with small populations (<100,000 population), healthy behavior practices were below-average. Men and women who had below-average healthy behavior practices reported poor access to places for exercise and fair or poor self-rated health statuses. It is necessary to implement a health behavior practice intervention that considers not only individual characteristics but also access to local exercise facilities and residential area characteristics (urban, rural). Since age is an important variable in healthy behaviors for both men and women, customized programs that consider age should be provided.