BACKGROUND: Family values of a married woman may be related to her own depressive mood. Since depressive mood of a married woman is likely to exert a negative influence, in terms of mental health, on her, her family members, and the whole society's, it may be very important to explore the relationship between family values in married women and their depressive mood. METHODS: In this study, we analyzed nationally representative 5,818 married women aged 20 years or older from the 4th panel data of 2012 Korean Longitudinal Survey of Women and Families. As for variables of interest, we constructed three family values variables: family-oriented view of marriage, individualistic view of marriage, and traditional view of marital roles. Then we employed multivariate logistic regression analyses to explore the relationship between family values and depressive mood, adjusting for family and socio-demographic factors. RESULTS: In total, 804 married women (18.4%) had experienced depressive mood. All of the three family values variables were significant in their relationships with depressive mood. The women categorized as ‘very weak’ in family-oriented view of marriage were more likely to experience depressive mood than the women categorized as ‘very strong’ (odds ratio [OR], 1.98; 95% confidence interval [CI], 1.53–2.55). By contrast, the women categorized as ‘very weak’ in individualistic view of marriage (OR, 0.43; 95% CI, 0.33–0.55) and in traditional view of marital roles (OR, 0.68; 95% CI, 0.51–0.92) were less likely to experience depressive mood than their respective counterpart women categorized as ‘very strong.’ CONCLUSION: In Korea, married women's values towards marriage itself and roles between wives and husbands had significant associations with their depressive mood. This suggests that in order to improve mental health in married women, we need to take social and cultural dimensions into consideration along with public health interventions.
Depression ; Female ; Humans ; Korea ; Logistic Models ; Longitudinal Studies ; Marriage ; Mental Health ; Public Health ; Spouses

Background: It is getting important to improve the oral health status of the elderly because oral health status may affect their health status of the whole body. In this respect, we aimed to explore the association of oral health status and behavior factors with self-rated health status by sex. Methods: Using the data from the 7th Korea National Health and Nutrition Examination Survey for health surveys and oral examinations (2016–2018), we analyzed a total of 3,070 people aged 65 or older (men: 1,329; women: 1,741). Our dependent variable, self-rated health status, was divided into two groups: not good (bad and very bad) and good (very good, good, and fair), whereas our independent variables of interest were oral health status and behavior factors. In addition to descriptive analysis and the Rao-Scott chi-square test, reflecting survey characteristics, we conducted hierarchical multivariable logistic regression analyses adjusted for socio-demographics and health status and behavior factors. All analyses were stratified by sex. Results: The proportion of people having ‘not good’ self-rated health was 36.5% in women but 24.5% in men. In a model adjusted for all covariates, the self-rated health status showed significant association with the self-rated oral health status. For example, in men, the risk of having ‘not good’ self-rated health was high in people having ‘poor’ (odds ratio [OR], 5.31; 95% confidence interval [CI], 2.34–12.03) self-rated oral health status and in those having ‘fair’ (OR, 4.03; 95% CI, 1.68–9.70) in comparison with those having ‘good’ self-rated oral health status. Dental status regarding speaking difficulty seemed to be very important in influencing self-rated health status. For instance, in women, compared to people having ‘no discomfort’ speaking difficulty, the risk of having ‘not good’ self-rated health was high in people having ‘not bad’ (OR, 1.60; 95% CI, 1.14–2.24) and ‘discomfort’ (OR, 1.79; 95% CI, 1.30–2.47) speaking difficulty. The covariates significantly associated with the risk of having ‘not good’ self-rated health were: physical activity, chronic disease, stress, and body mass index in both sexes; health insurance type and drinking only in men; and economic activity only in women. Conclusion Oral health status and behavioral factors were associated with self-rated health status among the elderly, differently by sex. This suggests that public health policies toward better health in the elderly should take their oral health status and oral health behaviors into account in a sex-specific way

Background: It is getting important to improve the oral health status of the elderly because oral health status may affect their health status of the whole body. In this respect, we aimed to explore the association of oral health status and behavior factors with self-rated health status by sex. Methods: Using the data from the 7th Korea National Health and Nutrition Examination Survey for health surveys and oral examinations (2016–2018), we analyzed a total of 3,070 people aged 65 or older (men: 1,329; women: 1,741). Our dependent variable, self-rated health status, was divided into two groups: not good (bad and very bad) and good (very good, good, and fair), whereas our independent variables of interest were oral health status and behavior factors. In addition to descriptive analysis and the Rao-Scott chi-square test, reflecting survey characteristics, we conducted hierarchical multivariable logistic regression analyses adjusted for socio-demographics and health status and behavior factors. All analyses were stratified by sex. Results: The proportion of people having ‘not good’ self-rated health was 36.5% in women but 24.5% in men. In a model adjusted for all covariates, the self-rated health status showed significant association with the self-rated oral health status. For example, in men, the risk of having ‘not good’ self-rated health was high in people having ‘poor’ (odds ratio [OR], 5.31; 95% confidence interval [CI], 2.34–12.03) self-rated oral health status and in those having ‘fair’ (OR, 4.03; 95% CI, 1.68–9.70) in comparison with those having ‘good’ self-rated oral health status. Dental status regarding speaking difficulty seemed to be very important in influencing self-rated health status. For instance, in women, compared to people having ‘no discomfort’ speaking difficulty, the risk of having ‘not good’ self-rated health was high in people having ‘not bad’ (OR, 1.60; 95% CI, 1.14–2.24) and ‘discomfort’ (OR, 1.79; 95% CI, 1.30–2.47) speaking difficulty. The covariates significantly associated with the risk of having ‘not good’ self-rated health were: physical activity, chronic disease, stress, and body mass index in both sexes; health insurance type and drinking only in men; and economic activity only in women. Conclusion Oral health status and behavioral factors were associated with self-rated health status among the elderly, differently by sex. This suggests that public health policies toward better health in the elderly should take their oral health status and oral health behaviors into account in a sex-specific way