This study aims to examine the relationship between obesity and subjective well-being (SWB) using panel data from China and the United States, two countries with different perceptions of obesity. In the United States, which follows the modern Western standard of beauty, obesity is stigmatized and is expected to have a negative relationship with SWB. In contrast, the Chinese traditionally regard obesity as a sign of prosperity; hence, obesity is regarded favorably in China and is expected to have a positive association with SWB. This study attempts to explore this relationship. The results of the analysis indicate two points. First, the effect of obesity is different in China and in the United States. In China, men who are overweight or obese and women who are overweight are happier than those who are of normal weight. However, obesity is not related to happiness in the United States. Second, the effect of obesity differs according to gender. In China, whereas the positive impact of obesity is more pronounced in men than in women, a positive association between being underweight and happiness is mainly found in women in the United States.
This is a preview of subscription content, log in to check access.
Buy single article
Instant access to the full article PDF.
Price includes VAT for USA
Subscribe to journal
Immediate online access to all issues from 2019. Subscription will auto renew annually.
This is the net price. Taxes to be calculated in checkout.
There are studies demonstrating that the impact exerted on SWB varies by culture and by social institutions. Studies that examine the relationship between having children and SWB may be considered as examples of this aspect (Aassve et al. 2012; Margolis and Myrskylä 2011). These research initiatives indicate that the effect of having children on SWB can be positive or negative according to culture and social institution to which the individuals belong.
Buss (2014) pointed out several limitations of BMI. For example, it is difficult for BMI to make a distinction between lean and fat mass. In addition, BMI also has difficulty in identifying fat distribution. The other indicators to measure individual fatness, such as weight-to-height ratio, have begun to be used to deal with these issues. However, this study uses BMI as the measure of individual fatness because of the two reasons. First, as BMI has been widely used in many studies, it is easy to compare the results obtained in this study and those in previous studies. Second, the data used in this study did not survey alternative anthropometric measurements other than BMI.
Concerning the IV, the average fatness of biological relatives and the respondent’s height that were used by Bargain and Zeidan (2019) and by Katsaiti (2012) are promising candidates. Although the heights of the respondents are available in the data used for this study, the F-statistic on the height in the first stage estimation of the IV is under 10 for both China and the United States; thus, it may be considered to suffer from the problem presented by weak instruments. For this reason, the use of IV estimation was reconsidered. Finding a better IV remains an incomplete task for this study.
The yearly family income in China is calculated in dollars. The exchange rate is 1 yuan = $0.14 (this rate is based on data as on October 4, 2019). The average yearly family income is $11,067 in China and $69,143 in the United States, indicating that family income is higher in the United States than in China. Log family income is also higher in the United States than in China.
The health-related variables used in the analysis are mainly subjective indicators since the data did not survey the objective health measures. This is a limitation of this study, and future studies will need to be re-examined using other data.
Estimated results by pooled OLS are also presented in the “Appendix”.
The data of China annually surveyed the three types of consumption expenditures, namely, foods, durable goods, and other than these. Consumption expenditures of foods and others were surveyed for monthly averages. However, since consumption expenditure of durable goods was a 1 year value, it was divided by 12 to calculate the value for 1 month. In the analysis, the total of these three types of consumption expenditures is used.
In this analysis, the number of household members is not used as an independent variable to avoid multicollinearity with the consumption expenditures, which are divided by the square root of the number of household members.
Concerning cultural backgrounds, diversity in race and ethnicity in the United States can cause the varying effect of obesity on happiness. The ratio of obesity among adults aged over 20 is higher at non-Hispanic Blacks than at non-Hispanic Whites and Hispanics (Craig et al. 2020). These differences in the prevalence of obesity can bring divergent perceptions of obesity, resulting in the varying effect of obesity by race and ethnicity on happiness. Separate analyses by race and ethnicity are conducted to check this point. We divided the sample of the United States by non-Hispanic Whites, non-Hispanic Blacks, and Hispanics and analyzed the results by using fixed effect OLS. The estimated results of the non-Hispanic Whites show that coefficients of being underweight are positively significant, especially for women. This result is a similar pattern with the result of the undivided sample. This might be because non-Hispanic Whites make up the majority of the sample. Estimated results of the non-Hispanic Blacks show that coefficients of being obese are negatively significant, particularly for women. This result is somewhat surprising as some previous studies indicate that non-Hispanic Blacks are more tolerant of obesity than non-Hispanic Whites (Flynn and Fitzgibbon 1998; Shafer 2010). Regarding the results of Hispanic, none of the coefficients of obesity are statistically significant. These estimated results show that the effect of obesity on happiness is divergent by race and ethnicity. Particularly, the negative association between being obese and happiness at non-Hispanic Blacks is interesting. Although it might appear puzzling to have such a result, an explanation may be found by looking at the association with marital status. Body weight is vital in finding a good partner in the marriage market, and if the sample size of unmarried people is large, the adverse effects of obesity can be significant. The analysis that split the sample by race, ethnicity, and marital status is conducted to check this point. The estimated results of the non-Hispanic Whites show that the coefficient of being underweight is positively significant only at the unmarried samples. This result indicates that being underweight is valuable, especially for a single person who is searching for a partner in the marriage market. Estimated results of the non-Hispanic Blacks show that coefficients of being obese are negatively significant, particularly for unmarried samples. This result indicates that unmarried individuals who are obese are less happy, and it can be caused by the relation that heavy body weight is stigmatized in the Western standard of beauty and prevents finding a good partner in the marriage market. Moreover, in the case of non-Hispanic Blacks, the ratio of unmarried samples is 60.6%, and it is higher than non-Hispanic Whites (36.7%) and Hispanics (41.7%). These results suggest that a relatively large unmarried sample may be responsible for the negative relationship between obesity and happiness. Regarding the results of Hispanics, none of the coefficients of obesity are statistically significant.
Aassve, A., Goisis, A., & Sironi, M. (2012). Happiness and childbearing across Europe. Social Indicator Research,108(1), 65–86.
Averett, S., & Korenman, S. (1996). The economic reality of the beauty myth. Journal of Human Resources,31, 304–330.
Bargain, O., & Zeidan, J. (2019). Heterogeneous effects of obesity on mental health: Evidence from Mexico. Health Economics,28(4), 447–460.
Blanchflower, D. G., & Oswald, A. J. (2004). Money, sex and happiness: An empirical study. Scandavian Journal of Economics,106(3), 393–415.
Böckerman, P., Johansson, E., Saarni, S. I., & Saarni, E. S. (2014). The negative association of obesity with subjective well-being: Is it all about health? Journal of Happiness Studies,15(4), 857–867.
Brunello, G., & d'Hombres, B. (2006). Does body weight affect wages? Evidence from Europe. "Marco Fanno" working papers 0027, Dipartimento di Scienze Economiche "Marco Fanno".
Buss, J. (2014). Limitations of body mass index to assess body fat. Workplace Health & Safety,62(6), 264.
Cai, L., Lubitz, J., Flegal, K. M., & Pamuk, E. R. (2010). The predicted effects of chronic obesity in middle age on medicare costs and mortality. Medical Care,48, 510–517.
Carmalt, J. H., Cawley, J., Joyner, K., & Sobal, J., (2007). Body weight and matching with a physically attractive partner: What it takes to get the pretty girl (or cute guy). Working Paper.
Carr, D., & Fridman, M. A. (2005). Is obesity stigmatizing? Body weight, perceived discrimination, and psychological well-being in the United States. Journal of Health and Social Behavior,46(3), 244–259.
Cawley, J. (2004). The impact of obesity on wages. Journal of Human Resources,39(2), 451–474.
Cawley, J., Joyner, K., & Sobal, J. (2006). Size matters the influence of adolescents’ weight and height on dating and sex. Rationality and Society,18(1), 67–94.
Chang, H. H., & Yen, S. T. (2012). Association between obesity and depression: Evidence from a longitudinal sample of the elderly in Taiwan. Aging & Mental Health,16(2), 173–180.
Clark, A., Frijters, P., & Shields, M. A. (2008). A survey of the income happiness gradient. Journal of Economic Literature,46, 95–144.
Craig, M. H., Margaret, D. C., Cheryl, D. F., & Cynthia, L. O. (2020). Prevalence of obesity and severe obesity among adults: United States, 2017–2018. NCHS Data Brief,360, 1–8.
Crisp, A. H., & McGuinness, B. (1976). Jolly fat: Relation between obesity and psychoneurosis in general population. British Medical Journal,1, 7–9.
Crisp, A. H., Queenan, M., Sittampaln, Y., & Harris, G. (1980). Jolly fat revisited. Journal of Psychosomatic Research,24(5), 233–241.
Deaton, A. (2008). Income, health, and well-being around the world: evidence from the Gallup World Poll. Journal of Economic Perspectives, 22(2), 53–72.
Deaton, A., & Grosh, M. (1998). Designing household survey questionnaires for developing countries lessons from ten years of LSMS experience, chapter 17: Consumption. Working Papers 218, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies.
Diener, E., & Seligman, M. E. P. (2004). Beyond money: Toward an economy of well-being. Psychological Science in the Public Interest,5(1), 1–31.
Dolan, P., Peasgood, T., & White, M. (2008). Do we really know what makes us happy? A review of the economic literature on the factors associated with subjective wellbeing. Journal of Economic Psychology,29, 94–122.
Dong, Q., Liu, J. J., Zheng, R. Z., Dong, Y. H., Feng, X. M., Li, J., et al. (2013). Obesity and depressive symptoms in the elderly: A survey in the rural area of Chizhou, Anhui province. International Journal of Geriatric Psychiatry,28(3), 227–232.
Easterlin, R. A. (2003). Explaining happiness. Proceedings of the National Academy of Science,100(19), 1176–1183.
Easterlin, R. A. (2005). Building a better theory of well-being. In L. Bruni & P. L. Porta (Eds.), Economics and happiness: Framing the analysis. Oxford: Oxford University Press.
Ferrer-i-Carbonell, A., & Gowdy, J. M. (2007). Environmental degradation and happiness. Ecological Economics,60(3), 509–516.
Flynn, K. J., & Fitzgibbon, M. (1998). Body images and obesity among Black females: A review of the literature. Annals of Behavioral Medicine,20, 13–24.
Foster, R., & Moore, E. (2012). Adolescent obesity and life satisfaction: Perceptions of self, peers, family, and school. Economics and Human Biology,10(4), 385–394.
Frey, B., & Stutzer, A. (2002). Happiness & economics. Princeton: Princeton Paperbacks.
Hartog, J., & Oosterbeek, H. (1998). Health, wealth and happiness: Why pursue a higher education? Economics of Education Review,17(3), 245–256.
Helliwell, J. F. (2003). How’s life? Combining individual and national variables to explain subjective well-being. Economic Modelling,20, 331–360.
Hitsch, G. J., Hortaçsu, A., & Ariely, D. (2010). What makes you click?—Mate preferences in online dating. Quantitative Marketing and Economics, 8(4), 393–427.
Ho, R. C., Niti, M., Kua, E. H., & Ng, T. P. (2008). Body mass index, waist circumference, waist-hip ratio and depressive symptoms in Chinese elderly: A population-based study. International Journal of Geriatric Psychiatry,23(4), 401–408.
Jo, C. (2004). Marital status and obesity: Cause and effect. Ph.D. dissertation, CUNY.
Katsaiti, M. S. (2012). Obesity and happiness. Applied Economics,44(31), 4101–4114.
Kuroki, M. (2016). Life satisfaction, overweightness and obesity. International Journal of Wellbeing,6(2), 93–110.
Latner, J. D., Durso, L. E., & Mond, J. M. (2013). Health and health-related quality of life among treatment-seeking overweight and obese adults: Associations with internalized weight bias. Journal of Eating Disorders,1(1), 1–3.
Lee, W. S., & Zhao, Z. (2017). Height, weight and well-being for rural, urban and migrant workers in China. Social Indicator Research,132(1), 117–136.
Lee, Y., & Sun, L. (2013). The study of perception in body somatotype and dietary behaviors: The comparative study between Korean and Chinese college students. Korean Journal of Community Nutrition,18, 25–44.
Li, J., Lei, J., Wen, S., & Zhou, L. (2014). Sex disparity and perception of obesity/overweight by parents and grandparents. Paediatrics & Child Health,19(7), e113–e116.
Li, Z. B., Ho, S. Y., Chan, W. M., Li, M. P., Leung, G. M., & Lam, T. H. (2004). Obesity and depressive symptoms in Chinese elderly. International Journal of Geriatric Psychiatry,19, 68–74.
Luppino, F. S., de Wit, L. M., Bouvy, P. F., Stijnen, T., Cuijpers, P., Penninx, B. W., et al. (2010). Overweight, obesity, and depression: A systematic review and meta-analysis of longitudinal studies. Archives of General Psychiatry,67(3), 220–229.
Margolis, R., & Myrskylä, M. (2011). A global perspective on happiness and fertility. Population and Development Review,37(1), 29–56.
Mukhopadhyay, S. (2008). Do women value marriage more? The effect of obesity on cohabitation and marriage in the USA. Review of Economics of the Household,6(2), 111–126.
Noh, J. W., Kim, J., Yang, Y., Park, J., Cheon, J., & Kwon, Y. D. (2017). Body mass index and self-rated health in East Asian countries: Comparison among South Korea, China, Japan, and Taiwan. PLoS ONE,12(8), e0183881.
OECD. (2019). Overweight or obese population (indicator). Retrieved 10 April, 2019.
Oreffice, S., & Quintana-Domeque, C. (2010). Anthropometry and socioeconomics among couples: Evidence in the United States. Economics & Human Biology,8(3), 373–384.
Oswald, A., & Powdthavee, N. (2007). Obesity, unhappiness, and the challenge of affluence: Theory and evidence. Economic Journal,117, 441–459.
Shafer, E. (2010). The effect of marriage on weight gain and propensity to become obese in the African American community. Journal of Family Issues.,31, 1166–1182.
Shields, M., & Wheatley, P. S. (2005). Exploring the economic and social determinants of psychological wellbeing and perceived social support in England. Journal Royal Statistical Society,168(3), 513–537.
Yu, N. W., Chen, C. Y., Liu, C. Y., Chau, Y. L., & Chang, C. M. (2011). Association of body mass index and depressive symptoms in a Chinese community population: Results from the health promotion knowledge, attitudes, and performance survey in Taiwan. Chang Gung Medical Journal,34(6), 620–627.
Zeng, Q., & Yu, X. (2019). Overweight and obesity standards and subjective well-being: Evidence from China. Economics and Human Biology,33, 144–148.
Zhang, L., Liu, K., Li, H., Li, D., Chen, Z., Zhang, L. L., et al. (2016). Relationship between body mass index and depressive symptoms: the “fat and jolly” hypothesis for the middle-aged and elderly in China. BMC Public Health,16, 1201.
This research project utilizes micro data from the Preference Parameters Study of Osaka University’s 21st Century COE Program “Behavioral Macrodynamics Based on Surveys and Experiments” and its Global COE project “Human Behavior and Socioeconomic Dynamics.” The author acknowledges the program/project’s contributors: Yoshiro Tsutsui, Fumio Ohtake, and Shinsuke Ikeda. We also thank two anonymous referees for valuable comments that greatly improved the quality of the study.
This work was supported by JSPS Grants-in-Aid for Scientific Research (KAKENHI) in Japan (17KT0037).
Conflict of interest
The Institute of Social and Economic Research of Osaka University provided the microdata to the University’s graduate students and researchers and to national, public, or private research institutes, with the restriction that it should be used only for non-profit and academic purposes. Therefore, for the borrowing of this data to replicate the results of this study, an application form must be submitted to the office of the Institute of Social and Economic Research of Osaka University.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Sato, K. Unhappy and Happy Obesity: A Comparative Study on the United States and China. J Happiness Stud (2020). https://doi.org/10.1007/s10902-020-00272-2
- Subjective well-being
- Panel data