Relationship between marital status and body mass index in Japan

Kazuma, Satoshi

doi:10.1007/s11150-020-09503-0

Cited by 6 publications

(4 citation statements)

References 62 publications

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“…For simplicity, we assume that the utility function does not, e.g., involve interaction between income and BMI although Finkelstein, Luttmer and Notowidigdo ( 2013 ) found evidence that the marginal utility of income declines as health deteriorates, which would cause heterogeneity in CIV across health-income combinations. Similarly, Sato ( 2021 ) report an increase in BMI for both men and women after marriage, which would make future studies including heterogeneous results by marriage duration interesting. Just as we examine own-spousal combinations, other such state dependencies would be worth further exploration in future research.…”

Section: Discussionmentioning

confidence: 91%

Life satisfaction and body mass index: estimating the monetary value of achieving optimal body weight

et al. 2023

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According to the World Health Organization, obesity is one of the greatest public-health challenges of the 21st century. Body weight is also known to affect individuals’ self-esteem and interpersonal relationships, including romantic ones. We estimate the “utility-maximizing” Body Mass Index (BMI) and calculate the implied monetary value of changes in both individual and spousal BMI, using the compensating income variation method and data from the Swiss Household Panel. We employ the Oster’s method (Oster, 2019 ) to estimate the degree of omitted variable bias in the effect of BMI on life satisfaction. Results suggest that the optimal own BMI is 27.1 and 20.1 for men and women, respectively. The annual value of reaching optimal weight ranges from $7069 for women with underweight to $88,709 for women with obesity and between $95,165 for men with underweight to $32,644 for men with obesity. On average, women value reduction in their own BMI about four times higher than reduction in their spouse’s BMI. Men, on the other hand, value a reduction in their spouse’s BMI almost twice as much compared to a reduction in their own BMI. This highlights important gender differences and relative effects based on spousal BMI.

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Section: Discussionmentioning

confidence: 91%

Life satisfaction and body mass index: estimating the monetary value of achieving optimal body weight

et al. 2023

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“…For women, a lower BMI at the start of the observation period was a significant risk factor for divorce within the next two years. It is possible that the relationship between BMI and divorce may be mediated by factors such as self-esteem, body image, and perceived attractiveness [ 38 , 39 ]. Interestingly, while lower BMI was a significant risk factor for divorce among women, it was not a significant factor among men.…”

Section: Discussionmentioning

confidence: 99%

“…It can be speculated that this cultural background, which is different from that of Western countries, influences women's weight as a predictor of divorce. Previous studies examining the relationship between marital status and BMI in the Japanese population have shown that BMI does not change with marriage in men, while BMI increases with marriage in women [ 39 ]. On the other hand, a study examining marital satisfaction and weight change found that spouses with less satisfied partners were more likely to consider divorce, which in turn reduced weight gain [ 40 ].…”

Section: Discussionmentioning

confidence: 99%

Real-world predictors of divorce among outpatients with bipolar disorder: sex differences and clinical implications

Tokumitsu,

Sugawara,

Adachi

et al. 2023

Ann Gen Psychiatry

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Background Bipolar disorder is a mental illness characterized by recurring episodes of mania and depression and is known to cause social impairment. Additionally, it has been revealed that bipolar disorder increases the risk of divorce and loss of family member support, which can worsen the prognosis. However, there is limited evidence regarding the predictive factors of divorce among patients with bipolar disorder in real-world settings. Methods This study utilized an observational approach and involved psychiatrists from 176 member clinics of the Japanese Association of Neuro-Psychiatric Clinics. They were requested to conduct a retrospective review of medical records and complete a questionnaire focused on patients diagnosed with bipolar disorder. The data collection period for baseline patient characteristics spanned from September to October 2017. Next, we investigated the incidence of divorce over a 2-year period, ranging from baseline to September to October 2019. Results A total of 1071 outpatients with bipolar disorder were included in the analysis, and 2.8% (30/1071) experienced divorce during the first 2 years of observation. The incidence of divorce in this population was considerably higher than that in the general Japanese population. Binomial logistic regression analysis confirmed that a younger baseline age and lower BMI values were statistically significant predictors of divorce occurrence for all study participants. The predictors of divorce were then examined separately by sex. The results revealed that for men, a younger age at baseline and having bipolar I disorder compared to bipolar II disorder were statistically significant predictors of divorce. In contrast, for women, having a lower BMI and using anxiolytics emerged as statistically significant predictors of divorce. Conclusions In this study, a younger baseline age and lower BMI values were statistically significant predictors of divorce in patients with bipolar disorder. Notably, the predictors of divorce varied significantly between men and women. These findings provide important insights from a family perspective regarding social support for individuals with bipolar disorder in real-world clinical settings.

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“… Alley et al (2017) found highly educated women have a lower BMI compared to low educated women, possibly because they are more health conscious and pay more attention to their image. Sato (2021) studied the effect of marital status on BMI based on Japanese data and found that married women had a more favorable BMI. Ford and Dzewaltowski (2008) showed that due to the exposure to retail food in poor areas lower environmental quality, combined with limited personal economic resources, leads to an increased risk of obesity among racial and ethnic minorities and socioeconomically disadvantaged groups.…”

Section: Introductionmentioning

confidence: 99%