Laugh and grow fat: Happiness affects body mass index among Urban Chinese adults

Obesity and psychological distress

The relationship between high body weight and mental health has been studied for several decades. Improvements in the quality of epidemiological, mechanistic and psychological research have brought greater consistency to our understanding of the links. Large-scale population-based epidemiological research has established that high body weight is associated with poorer mental health, particularly depression and subclinical depressive symptoms. There is some evidence for bidirectional relationships, but the most convincing findings are that greater body weight leads to psychological distress rather than the reverse. Particular symptoms of depression and distress may be specifically related to greater body weight. The psychological stress induced by weight stigma and discrimination contributes to psychological distress, and may in turn handicap efforts at weight control. Heightened systemic inflammation and dysregulation of the hypothalamic-pituitary-adrenal axis are biological mechanisms that mediate in part the relationship of greater body weight with poorer mental health. Changing negative societal attitudes to high body weights would improve the wellbeing of people living with obesity, and promote more effective weight-inclusive attitudes and behaviours in society at large, particularly in healthcare settings. This article is part of a discussion meeting issue 'Causes of obesity: theories, conjectures and evidence (Part II)'.

Understanding financial risk protection in China's health system: a descriptive analysis using data from multiple national household surveys

BACKGROUND

Providing financial risk protection is one of the fundamental goals of health systems. Catastrophic health expenditure (CHE) and medical impoverishment (MI) are two common indicators in evaluating financial risk protection in health. As China continues its health system reform to provide accessible and affordable health care, it is important to have a clear understanding of China's progress in financial risk protection. However, past research showed discrepancies in the incidence of CHE and MI. In this article, using data from four national household surveys, we analyzed levels and characteristics of CHE and MI in China under different definitions.

METHODS

We used multiple conventional thresholds for CHE and MI to comprehensively describe the levels of financial risk protection in China. We used data from four national household surveys to measure the incidence of CHE and MI, and their inequalities by urban/rural status and by income quartiles. The Probit regression model was used to explore influencing factors of CHE and MI.

RESULTS

We found that the incidences of CHE and MI were largely consistent across four national household surveys, despite different sampling methods and questionnaire designs. At the 40% nonfood expenditure threshold, the incidence of CHE in China was 14.95%-17.73% across four surveys during the period of 2016-2017. Meanwhile, at the 1.9 US dollars poverty line, the incidence of MI was 2.01%-5.63%. Moreover, rural residents, lower-income subgroups, and smaller households were faced with higher financial risks from healthcare expenditures. Although positive progress in financial risk protection has been achieved in recent years, China has disproportionately high incidences of CHE and MI, compared to other countries.

CONCLUSION

China has large margins for improvements in risk financial protection, with large inequalities across subgroups. Providing better financial protection for low-income groups in rural areas is the key to improve financial protection in China.

BMI and well-being in people of East Asian and European ancestry: a Mendelian randomisation study

Previous studies have linked higher body mass index (BMI) to lower subjective well-being in adult European ancestry populations. However, our understanding of these relationships across different populations is limited. Here, we investigated the association between BMI and well-being in people of (a) East Asian and (b) European ancestry in the China Kadoorie Biobank (CKB) and UK Biobank (UKB), respectively. Mendelian randomisation (MR) methods were used to test the relationship between BMI with (a) health satisfaction and (b) life satisfaction. One-sample MR enabled us to test effects in men and women separately and to test the role of cultural contexts by stratifying our analyses by urban and rural home location in both China and the UK. Further, we implemented a control function method to test the linearity of the BMI-well-being relationship. We found evidence of different associations between BMI and well-being in individuals of East Asian versus European ancestry. For example, a genetically instrumented higher BMI tentatively associated with higher health satisfaction in people of East Asian ancestry, especially in females (ß: 0.041, 95% CI: 0.002, 0.081). In contrast, there was a robust inverse association between higher genetically instrumented BMI and health satisfaction in all European ancestry UKB participants (ß: -0.183, 95% CI: -0.200, -0.165, Pdifference < 1.00E-15). We also showed the importance of considering non-linear relationships in the MR framework by providing evidence of non-linear relationships between BMI and health and life satisfaction. Overall, our study suggests potential setting-specific causality in the relationship between BMI and subjective well-being, with robust differences observed between East Asians and Europeans when considering very similar outcomes. We highlight the importance of (a) considering potential non-linear relationships in causal analyses and (b) testing causal relationships in different populations, as the casual nature of relationships, especially relationships influenced by social processes, may be setting-specific.

Does medical insurance improve health? An empirical analysis from China

BACKGROUND

Medical insurance is considered to be closely related to individual health status, while their relationship are left to be clarified. This article aims to examine the relationship between medical insurance and the health status of residents in China.

METHODS

The data is from a nationally representative sample of CGSS2015, and the estimation methods of ordered logit model, generalised ordered logit model and instrumental variable (IV) were used.

RESULTS

Both public medical insurance (PMI) and commercial medical insurance (CMI) had a positive correlation with residents' self-assessed physical and mental health, while PMI was more statistically significant and substantively important than CMI. The basic results estimated with the generalised ordered logit model and IV model still remained robust. Further analysis found that medical insurance, whether public or commercial, had more or less weakened the importance of income to personal health, showing a substitute effect for income.

CONCLUSION

PMI has been proven to help promote the physical and mental health of residents and moderate the importance of residents' income to health. Besides, CMI also plays a beneficial supplementary role in promoting residents' health.

Relationship between Internet Use and Negative Affect

While positive emotions like happiness and life satisfaction have received great attention, how to eliminate negative affect is largely neglected. This study contributes to the literature by examining the relationship between Internet use and people's negative affect. Unlike previous studies that consider only one indicator, we capture negative affect from different dimensions by considering loneliness, sadness, and life hardship. We employ an endogenous ordered probit model to address the selection bias of Internet use and analyze the 20,107 individual-level samples sourced from the 2020 China Family Panel Studies survey. The results show that Internet use significantly reduces people's loneliness, sadness, and life hardship. We also find that studying online and watching short videos would increase people's loneliness feeling and shopping online deepens people's life hardship. In contrast, using WeChat significantly reduces sadness and life hardship. Our findings confirm that guiding people to use the Internet appropriately is necessary to reduce negative affect and improve the quality of their life.

The intangible costs of overweight and obesity in Germany

BACKGROUND

Previous literature documents the direct and indirect economic costs of obesity, yet none has attempted to quantify the intangible costs of obesity. This study focuses on quantifying the intangible costs of one unit body mass index (BMI) increase and being overweight and obese in Germany.

METHODS

By applying a life satisfaction-based compensation value analysis to 2002-2018 German Socio-Economic Panel Survey data for adults aged 18-65, the intangible costs of overweight and obesity are estimated. We apply individual income as a reference for estimating the value of the loss of subjective well-being due to overweight and obesity.

RESULTS

The intangible costs of overweight and obesity in 2018 amount to 42,450 and 13,853 euros, respectively. A one unit increase in BMI induced a 2553 euros annual well-being loss in the overweight and obese relative to those of normal weight. When extrapolated to the entire country, this figure represents approximately 4.3 billion euros, an intangible cost of obesity similar in magnitude to the direct and indirect costs documented in other studies for Germany. These losses, our analysis reveals, have remained remarkably stable since 2002.

CONCLUSIONS

Our results underscore how existing research into obesity's economic toll may underestimate its true costs, and they strongly imply that if obesity interventions took the intangible costs of obesity into account, the economic benefits would be considerably larger.

The "jolly fat" for the middle-aged and older adults in China, was education level considered?

BACKGROUND

Several studies have found a negative association between obesity and depression in Chinese middle-aged and elderly, suggesting the existence of "jolly fat". This study aims to investigate whether "jolly fat" is applicable among middle-aged and elderly with different education levels, and to provide a new perspective for depression screening and obesity interventions in middle-aged and older adults.

METHODS

10,018 individuals aged 45 years and over in China Family Panel Study (2018) were selected for analysis. A short version of Center for Epidemiological Research Depression Scale was used to assess depression. Body mass index was applied to define obesity status. Subgroup analysis of multiple logistic regression was performed to explore whether the relationship between obesity and depression was influenced by education levels.

RESULTS

The prevalence of obesity and depression was 9.02 % and 22.96 % among participants. Obesity reduced the probability of depression in middle-aged and elderly with primary school education or below (OR = 0.71, 95 % CI = 0.56-0.91) while not affecting those with junior high school education or above (OR = 0.80, 95 % CI = 0.57-1.13).

LIMITATIONS

The results cannot be interpreted as causality due to the cross-sectional design. Besides, we cannot directly measure the body composition of the participants.

CONCLUSIONS

"Jolly fat" existed among middle-aged and elderly with low education, but not in those with junior high school education or above. Health care providers need to monitor the psychological status of low-educated middle-aged and older adults who are seen as needing to lose weight, while the underweight group should be the key target of depression screening.

Inman C, Shahawy OE, Weitzman M, Schmidt AM, Sherman S, Abdulle A, Ahmad A, Ali R. Association between depression, happiness, and sleep duration: data from the UAE healthy future pilot study

BACKGROUND

The United Arab Emirates Healthy Future Study (UAEHFS) is one of the first large prospective cohort studies and one of the few studies in the region which examines causes and risk factors for chronic diseases among the nationals of the United Arab Emirates (UAE). The aim of this study is to investigate the eight-item Patient Health Questionnaire (PHQ-8) as a screening instrument for depression among the UAEHFS pilot participants.

METHODS

The UAEHFS pilot data were analyzed to examine the relationship between the PHQ-8 and possible confounding factors, such as self-reported happiness, and self-reported sleep duration (hours) after adjusting for age, body mass index (BMI), and gender.

RESULTS

Out of 517 participants who met the inclusion criteria, 487 (94.2%) participants filled out the questionnaire and were included in the statistical analysis using 100 multiple imputations. 231 (44.7%) were included in the primary statistical analysis after omitting the missing values. Participants' median age was 32.0 years (Interquartile Range: 24.0, 39.0). In total, 22 (9.5%) of the participant reported depression. Females have shown significantly higher odds of reporting depression than males with an odds ratio = 3.2 (95% CI:1.17, 8.88), and there were approximately 5-fold higher odds of reporting depression for unhappy than for happy individuals. For one interquartile-range increase in age and BMI, the odds ratio of reporting depression was 0.34 (95% CI: 0.1, 1.0) and 1.8 (95% CI: 0.97, 3.32) respectively.

CONCLUSION

Females are more likely to report depression compared to males. Increasing age may decrease the risk of reporting depression. Unhappy individuals have approximately 5-fold higher odds of reporting depression compared to happy individuals. A higher BMI was associated with a higher risk of reporting depression. In a sensitivity analysis, individuals who reported less than 6 h of sleep per 24 h were more likely to report depression than those who reported 7 h of sleep.

Assessing the income-related inequality in obesity among the elderly in China: A decomposition analysis

Background

Obesity among the elderly imposes a significant health and economic burden. The purpose of this study was to measure the obesity prevalence and income-related inequality among older adults in China and to explore the determinants of the inequity.

Methods

Data were obtained from 4,541 older adults (60 years and older) participating in the China Family Panel Study, 2018. Obesity was defined as body mass index (BMI) ≥28 kg/m². Normalized concentration index and concentration curve were calculated to measure the income-related inequality. Decomposition analysis was used to measure the contribution of each factor to the overall unfairness.

Results

The prevalence of obesity among the respondents was 7.99%. The 95% confidence interval for the overall prevalence was 7.20-8.78%. The normalized concentration index of obesity in the elderly was 0.075 (95% confidence interval: 0.047-0.103), indicating that obesity was more concentrated among the rich (p < 0.05). Socioeconomic factors contributed the most to the overall inequality (68.73%). Health behavior factors explained 16.38% of the observed income-related inequality in obesity among the elderly in China.

Conclusions

In 2018, obesity was more concentrated among the elderly with higher incomes in China. The pro-poor income-related inequality was mainly due to the higher socioeconomic status of higher-income older adults. Health behaviors and psychosocial factors could also exacerbate the inequality. To prevent the heavy burden of obesity on the health and finances of older adults, more attention should be paid to those who are financially better off, especially those who smoke and are physically inactive, while extroverted older adults also need to be focused on. For developing countries, concern needs to be given to the obesity of the wealthy elderly as a result of economic development.

Material flow cost accounting (MFCA) for the circular economy: An empirical study of the triadic relationship between MFCA, environmental performance, and the economic performance of Japanese companies

The purpose of this study is to address the question of whether material flow cost accounting (MFCA) can contribute to the circular economy. Because MFCA is an environmental management accounting tool that simultaneously assesses company material and financial flows, it is expected to contribute to the circular economy by assisting companies to achieve both environmental and economic goals through resource efficiency. In short, the expected linkages between MFCA, company environmental and economic goals, and the circular economy are inputs, outputs, and outcomes. However, there is a lack of consensus regarding its potential, perhaps because of the scarcity of studies, with most being models and case studies without readily generalizable results. To address this gap, we analyze the triadic relationship between MFCA, environmental performance, and economic performance using a two-stage regression of data from Japanese listed companies. The main findings are as follows. Companies that implement MFCA more proactively are more likely to improve their environmental performance in terms of energy consumption, CO₂ emissions, and waste produced. In turn, those that improve their environmental performance are also more likely to improve their productivity, while those that specifically improve environmental performance in terms of waste produced are also more likely to increase in profitability. Consequently, because MFCA can improve several aspects of environmental performance by saving resources, it can improve productivity by improving a range of environmental performance indicators. In particular, MFCA can improve company productivity and thereby profit, at least by reducing the amount of waste produced. This supports the view that MFCA is an effective tool to contribute to the circular economy.

Government Communication, Perceptions of COVID-19, and Vaccination Intention: A Multi-Group Comparison in China

Government communication has been playing an important role in mass vaccination to conduct the largest vaccination campaign of the world for COVID-19 and to counter vaccine hesitancy. This study employs the health belief model to examine the association between government communication and the COVID-19 vaccination intention. A survey of Chinese adults (N = 557) was conducted in March 2021, and partial least squares structural equation modeling was employed to estimate the multi-construct relationships. The findings indicate that government communication has both direct positive association with vaccination intention and indirect association with vaccination intention through the mediation of perceived severity, benefits, and barriers. Multi-group comparisons suggest that individuals from private sectors are more easily mobilized to receive COVID-19 vaccination by government communication than those from public sectors. Similarly, the correlation between government communication and the vaccination intention of individuals with a good health status was stronger than that of those with a poor health status. The theoretical and practical implications of these findings are further discussed.

The sociocultural mechanism of obesity: The influence of gender role attitudes on obesity and the gender gap

Worldwide, women are more likely to be obese than men, but research on the mechanism of the gender gap in obesity is relatively lacking. This article uses five rounds of Chinese General Social Survey (CGSS) data from 2010 to 2017 to empirically test the impact of gender role attitudes on obesity and the gender gap and to explore the mechanism. The main results show that the traditional gender role attitude will improve the probability of obesity in women, but it will not positively impact obesity in men. Using the proportion of "March 8th red flag bearer" at the provincial level as an instrumental variable to alleviate the possible estimation errors caused by omitted variables, the results show that the lower the proportion of red flag bearers, the higher the probability of obesity of women, and still will not improve the probability of obesity of men. The robustness test based on the generalized propensity score method (GPSM) supports the above results. The mechanism analysis shows that economic status and market participation are two essential mechanisms of gender role attitudes and female obesity. Traditional gender role attitudes increase the risk of women's obesity by reducing their economic status and labour market participation.

Socioeconomic Status, Institutional Power, and Body Mass Index among Chinese Adults

Despite the vast literature on the socioeconomic status (SES) gradient of obesity among adult people, no study has investigated the relationship between institutional power and body mass index. Using national survey data from the “China Labor-force Dynamics Survey 2016” (CLDS 2016), multistage cluster-stratified probability proportional to size (PPS) sampling was employed to select cases from 29 provinces, cities, and autonomous regions in China. This study adopts an institutional approach to explore the influences of SES and institutional power on the state of being overweight or severely overweight (obese) among Chinese adults. It is shown that SES has a non-linear influence on being overweight or obese, higher education has a negative effect on being overweight or obese, income has an inverted U-shaped effect on being overweight or obese, and having a managerial or administrative job has a positive effect on being overweight but less so on obesity. These findings reveal that disparities in health outcome and risks are due to inequality in SES. The work unit is a stronger predictor of adults being overweight or obese than occupation. Working in the public sector has a positive effect on being overweight relative to working in the private sector, and only state institutions and government departments have a positive association with obesity. Our results indicate that institutional structure still has effects on individuals’ life chances in the era of China’s market transition.

Associations between perceived stress and BMI and waist circumference in Chinese adults: data from the 2015 China Health and Nutrition Survey

OBJECTIVES

To assess the association between perceived stress and adiposity among Chinese adults.

DESIGN

Cross-sectional study. Perceived stress was assessed using the 14-item perceived stress scale. Associations between quintiles of perceived stress and BMI and waist circumference were assessed using linear regression models and multinomial regression models. Estimates were adjusted for sociodemographic characteristics.

SETTING

2015 China Health and Nutrition Survey: 12 provinces covering a variety of geographic, economic development and health indicator situations.

PARTICIPANTS

A total of 8385 adults of both sexes, aged 18-99 years, were included.

RESULTS

Overall, the mean perceived stress score was 22·7 (6·2), mean BMI was 24·3 (3·6) kg/m2 and prevalence of obesity (BMI ≥ 30 kg/m2) was 6·0 %. There were inverse associations between perceived stress quintiles with continuous BMI (P < 0·001), BMI categories (P = 0·015) and waist circumference (P = 0·047). Compared to adults in the lowest quintile of perceived stress, adults in the highest quintile of perceived stress had 0·44 kg/m2 lower mean BMI (95 % CI: -0·67, -0·21), 0·72 times the prevalence of obesity (95 % CI: 0·55, 0·94) and 0·73 times the prevalence of abdominal obesity (95 % CI: 0·61, 0·88). Results were similar when using Chinese-specific cut-points.

CONCLUSION

Our results showed inverse associations between perceived stress quintiles and adiposity among Chinese adults. Future studies should aim to better understand the directionality of the observed associations and the potential biological and behavioural mechanisms underlying these associations in the Chinese population.

Happiness is related to cardiovascular risk: a cross-sectional study in Spain

The study of cardiovascular risk factors has been deeply described in recent years, but the findings on the complex role of psychological indicators (i.e. happiness and depression) on cardiovascular health are mixed. The primary goal of our study was to examine the extent to which certain psychological aspects, namely happiness and depression, can predict cardiovascular risk. A sample of 173 (M_age = 44.9, SD = 14; 62% females) individuals from the general population who attended a public hospital of Lleida (Spain) participated voluntarily in the study. We measured happiness, depression and different clinical and sociodemographic variables. The sample reported low levels of depression and moderate levels of happiness, overweight levels of body mass index and mainly low levels of cardiovascular risk. Happiness was correlated positively to cardiovascular risk and negatively to depression. Increases in happiness, but not in depression, were associated with people being in a higher group of cardiovascular risk. Despite a body of literature indicates that subjective well-being has a protective role over cardiovascular health, the contradictory findings of our study might be explained by several factors. The present findings invite to consider the complex and indirect influence of happiness on physical health. Future research should investigate the potential biological and behavioral processes of happiness linked with increases in cardiovascular risk.

Can Parental Body Dissatisfaction Predict That of Children? A Study on Body Dissatisfaction, Body Mass Index, and Desire to Diet in Children Aged 9-11 and Their Families

Body image has been associated with self-care and the assumption of either healthy habits or poor diets and eating disorders. As a vital element in the formation of a positive body image, the role of the family in childhood has been highlighted by a few studies. This study aimed to assess whether children’s body dissatisfaction could be predicted by their parents’ body dissatisfaction, body mass index (BMI), and approach to change. The sample consisted of 581 participants (366 parents and 215 children). The following instruments were used: anthropometric data, the Brief Scale of Body Dissatisfaction for Children, the IMAGE questionnaire (approach to change and drive for muscularity subscales), and the Eating Disorder Inventory-2 (body dissatisfaction and drive for thinness subscales). The results indicated that 19% of children, 22.8% of mothers, and 70.2% of fathers were overweight or obese. The multiple regression models developed for boys and girls explained 60 and 57% of the variance in body dissatisfaction, respectively. Several variables attributable to the mother (higher approach to change, higher drive for thinness, and higher BMI) and to the boys themselves (drive for muscularity, approach to change, and having a high BMI percentile) predicted a higher level of body dissatisfaction. For girls, only variables regarding themselves (approach to change, age, and BMI percentile) explained their body dissatisfaction. Relationships with the traits of the father were not detected for both models. The influence of sociocultural factors on the construction of gender and the negative consequences of mothers’ dieting for aesthetic purposes, on the development of children’s body image, are discussed.

Stay Slim or Get Fat?: An Examination of the "Jolly Fat" Effect in Chinese Older Adults

Purpose

The association between body mass index (BMI) and health-related quality of life (HRQOL) has not been verified neither in China nor in any other Asian country. This study aimed to examine the association between BMI and HRQOL in the Chinese older adults population.

Methods

A total of 5018 older adults from the China’s Health-Related Quality of Life Survey for Older Adults 2018 was included in this study. The HRQOL was measured by the Chinese version of the World Health Organization Quality of Life Instrument-Older Adults Module (WHOQOL-OLD). Multiple linear regression analysis was used to explore the associations between BMI and HRQOL among the older adults in rural, urban, and total samples.

Results

After adjusting all the confounders, compared with normal weight group, underweight was negatively correlated with the total scores of HRQOL among the older adults in rural (B= −2.310, p < 0.01), urban (B= −1.019, p < 0.001), and total samples (B= −2.351, p < 0.001), whereas overweight was positively associated with the total scores of HRQOL among the older adults in rural samples (B= 0.888, p < 0.05). The results showed that obesity was not associated with the total scores of HRQOL among the older adults in rural (B= −1.214, p > 0.05), urban (B= −0.074, p > 0.05), and total samples (B= −1.461, p > 0.05).

Conclusion

This study suggests that obese Chinese older adults did not show a better quality of life than those of normal weight. But this result does not deny the “jolly fat” hypothesis entirely, as the overweight older adults from rural areas showed better HRQOL. Moreover, underweight older people show a poorer HRQOL. The relationship between BMI and HRQOL in the older adults needs to be differentiated according to different characteristics of the population.

How is obesity associated with happiness? Evidence from China

Happiness is a universal goal that people pursue. Studies of the relationship between obesity and happiness have shown mixed findings. It is uncertain whether an optimum BMI level exists and at what level obesity interferes or interacts with happiness. Guided by the Circle of Discontent Theory, we examined the relationship between obesity and happiness among Chinese residents using the 2014 China Family Panel Studies data. The results reveal an inverted U-shaped relationship between BMI and happiness, with obesity associated with happiness through physical appearance, health, and income. The socioeconomic conditions for the appropriate weight to achieve happiness are discussed.

Internet use and individuals' environmental quality evaluation: Evidence from China

Identifying factors that influence the public's environmental quality perception is conducive to environmental protection and risk management. By employing data from the Chinese Social Survey (CGSS) and the ordinary least squares (OLS) method, the present study aims to explore the associations between Internet use and Chinese residents' environmental quality evaluation. The results show that, compared with non-netizens, netizens have a higher negative evaluation of environmental quality, which supports the negativity bias theory, namely, that netizens pay more attention to negative news related to environmental pollution on the Internet. Further study suggests that the impact of Internet use on environmental quality evaluation is heterogeneous across different categories of environmental issues and populations: Internet use has greater effects on risk perception of environmental issues that are closely related to residents' lives. In addition, Internet use has a greater negative impact on environmental quality evaluation for older people and rural residents. Finally, this paper utilizes a substitution variable method, propensity score matching (PSM) and quantile regression to conduct the robustness check.

Associations between Body Mass Index and Subjective Health Outcomes among Older Adults: Findings from the Yilan Study, Taiwan

Previous findings on the associations between body mass index (BMI) and subjective health outcomes among older adults are inconsistent. The aims of this study were to explore the associations of BMI with health-related quality of life (HRQoL), self-rated health (SRH) and happiness among older adults. This study was part of the Yilan study, which was a community-based survey conducted in the Yilan city in Taiwan. A total of 3722 older adults were randomly recruited during 2012–2016. HRQoL was measured using the Short Form-12 Health Survey physical component summary (PCS) and mental component summary (MCS) scores and SRH and happiness were also evaluated. By hierarchical regression, after adjusting for covariates, compared with normal-weight participants, overweight did not have significantly different PCS scores (B = 0.20, 95% confidence interval [CI]: −0.45 to 0.85, p = 0.546) but obese had significantly lower PCS scores (B = −0.97, 95% CI: −1.68 to −0.26, p < 0.0001); overweight and obese participants had significantly better MCS scores (B = 1.00, 95% CI: 0.40 to 1.61, p = 0.001 and B = 1.22, 95% CI: 0.60 to 1.88, p < 0.0001, respectively); overweight participants had significantly higher SRH scores (B = 1.08, 95% CI: 0.16 to 2.00, p = 0.022) but underweight had significantly lower SRH scores (B = −2.88, 95% CI: −4.81 to −0.95, p = 0.003); overweight and obese participants had better happiness scores (B = 1.55, 95% CI: 0.45 to 2.66, p = 0.006 and B = 1.68, 95% CI: 0.49 to 2.88, p = 0.006, respectively). In conclusion, compared with normal-weight individuals, overweight individuals had better mental HRQoL, SRH and happiness but underweight older people reported poorer SRH and obese reported poorer physical HRQOL but better mental HRQoL and self-rated happiness.