Top

Gepubliceerd in:

13-01-2024

The association between BMI and self-reported health among a Brazilian sample: a cross-sectional study

Auteurs: Luan Vinicius Bernardelli, Michael A. Kortt, Michael B. Charles

Gepubliceerd in: Quality of Life Research | Uitgave 4/2024

Abstract

Objective

To examine the association between Body Mass Index (BMI) and self-rated health status among a representative sample of the Brazilian population.

Methods

This study consists of a secondary analysis of the existing 2019 Brazilian National Health Survey (PNS). Logistic regression models were then used to examine the association between self-reported health status and BMI, while controlling for obesity-related medical conditions and socio-demographic characteristics.

Results

The representative sample included 34,021 men and 34,430 women, comprising a total sample of 68,451. Men living with obesity (BMI ≥ 30 kg/m²) had, on average, a lower self-reported health status score (OR = 0.69, p < 0.01) compared to men within a healthy weight BMI range (18.5–25 kg/m²). Women living with obesity had, on average, a lower self-reported health status score (OR = 0.56, p < 0.01) compared to women within a healthy weight BMI range (18.5–25 kg/m²). There was also a statistically significant negative association (p < 0.01) between our obesity-related medical conditions and self-reported health for men and women. We also find some evidence of a non-linear association between BMI and health status for men.

Conclusions

The findings indicate that there is a statistically significant negative association between BMI and self-reported health for Brazilian men and women living with obesity. These findings reinforce the importance of addressing this growing public health challenge and the value of preventive measures and effective public health programs that focus on improving overall health and quality of life for individuals living with obesity.

vorige artikel Associations between the EQ-5D-5L and exacerbations of chronic obstructive pulmonary disease in the ETHOS trial

volgende artikel Is well-becoming important for children and young people? Evidence from in-depth interviews with children and young people and their parents

Alleen toegankelijk voor geautoriseerde gebruikers

World Health Organization (WHO). (2022). Obesity and overweight. Geneva: WHO. Retrieved March 12, 2023, from https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight

World Health Organization (WHO) (2023). Noncommunicable diseases country profiles 2018. Retrieved March 12, 2023, from https://apps.who.int/iris/handle/10665/274512

Wharton, S., Lau, D. C., Vallis, M., Sharma, A. M., Biertho, L., Campbell-Scherer, D., & Wicklum, S. (2020). Obesity in adults: a clinical practice guideline. CMAJ, 192(31), E875–E891. https://doi.org/10.1503/cmaj.191707CrossRefPubMedPubMedCentral

Ferreira, A. P. D. S., Szwarcwald, C. L., & Damacena, G. N. (2019). Prevalência e fatores associados da obesidade na população brasileira: estudo com dados aferidos da Pesquisa Nacional de Saúde, 2013. Revista Brasileira de Epidemiologia, 22, e190024. https://doi.org/10.1590/1980-549720190024CrossRefPubMed

Pi-Sunyer, F. X. (1996). A review of long-term studies evaluating the efficacy of weight loss in ameliorating disorders associated with obesity. Clinical Therapeutics, 18(6), 1006–1035. https://doi.org/10.1016/S0149-2918(96)80057-9CrossRefPubMed

Herman, K. M., Hopman, W. M., Vandenkerkhof, E. G., & Rosenberg, M. W. (2012). Physical activity, body mass index, and health-related quality of life in Canadian adults. Medicine and Science in Sports and Exercise, 44(4), 625–636. https://doi.org/10.1249/MSS.0b013e31823a90aeCrossRefPubMed

Taghizadeh, N., Boezen, H. M., Schouten, J. P., Schröder, C. P., Vries, E. E. D., & Vonk, J. M. (2015). BMI and lifetime changes in BMI and cancer mortality risk. PLoS One, 10(4), e0125261. https://doi.org/10.1371/journal.pone.0125261CrossRefPubMedPubMedCentral

Tappia, P. S., & Defries, D. (2020). Prevalence, consequences, causes and management of obesity. Pathophysiology of Obesity-Induced Health Complications, 3–22. https://doi.org/10.1007/978-3-030-35358-2_1

Dey, M., Gmel, G., & Mohler-Kuo, M. (2013). Body mass index and health-related quality of life among young Swiss men. BMC Public Health, 13, 1–9. https://doi.org/10.1186/1471-2458-13-1028CrossRef

10.

Milder, I. E., de Hollander, E. L., Picavet, H. S., Verschuren, W. M., de Groot, L. C. P. M., & Bemelmans, W. J. (2014). Changes in weight and health-related quality of life. The Doetinchem Cohort Study. Journal of Epidemiology and Community Health, 68(5), 471–477. https://doi.org/10.1136/jech-2013-203127

11.

Rasmussen, B., Sweeny, K., & Sheehan, P. (2015). Economic costs of absenteeism, presenteeism and early retirement due to ill health: A focus on Brazil. Melbourne: Victoria Institute of Strategic Economic Studies. Retrieved March 12, 2023, from https://www.brazilcouncil.org/wp-content/uploads/2016/04/Econ.-Cost-of-Absenteeism-Presenteeism-and-Early-Retirement-due-to-ill-health-Brazil.pdf

12.

Nilson, E. A. F., Andrade, R. D. C. S., Brito, D. A. D., & Oliveira, M. L. D. (2020). Custos atribuíveis a obesidade, hipertensão e diabetes no Sistema Único de Saúde, Brasil, 2018. Revista Panamericana de Salud Pública, 44, e32. https://doi.org/10.26633/RPSP.2020.32

13.

Instituto Brasileiro de Geografia e Estatística (IBGE). Pesquisa Nacional de Saúde (PNS). (2023). Retrieved August 02, 2023, from https://www.pns.icict.fiocruz.br/wp-content/uploads/2021/12/liv101846.pdf

14.

Diehr, P., Bild, D. E., Harris, T. B., Duxbury, A., Siscovick, D., & Rossi, M. (1998). Body mass index and mortality in nonsmoking older adults: The Cardiovascular Health Study. American Journal of Public Health, 88(4), 623–629. https://doi.org/10.2105/AJPH.88.4.623CrossRefPubMedPubMedCentral

15.

Stevens, J., Cai, J., Pamuk, E. R., Williamson, D. F., Thun, M. J., & Wood, J. L. (1998). The effect of age on the association between body-mass index and mortality. New England Journal of Medicine, 338(1), 1–7. https://doi.org/10.1056/NEJM199801013380101CrossRefPubMed

16.

Renehan, A. G., Tyson, M., Egger, M., Heller, R. F., & Zwahlen, M. (2008). Body-mass index and incidence of cancer: A systematic review and meta-analysis of prospective observational studies. The Lancet, 371(9612), 569–578. https://doi.org/10.1016/S0140-6736(08)60269-XCrossRef

17.

Antoun, S., Baracos, V. E., Birdsell, L., Escudier, B., & Sawyer, M. B. (2010). Low body mass index and sarcopenia associated with dose-limiting toxicity of sorafenib in patients with renal cell carcinoma. Annals of Oncology, 21(8), 1594–1598. https://doi.org/10.1093/annonc/mdp605CrossRefPubMed

18.

Azur, M. J., Stuart, E. A., Frangakis, C., & Leaf, P. J. (2011). Multiple imputation by chained equations: What is it and how does it work? International Journal of Methods in Psychiatric Research, 20(1), 40–49. https://doi.org/10.1002/mpr.329CrossRefPubMedPubMedCentral

19.

Johnson, D. R., & Young, R. (2011). Toward best practices in analyzing datasets with missing data: Comparisons and recommendations. Journal of Marriage and Family, 73(5), 926–945. https://doi.org/10.1111/j.1741-3737.2011.00861.xCrossRef

20.

Manor, O., Matthews, S., & Power, C. (1999). Dichotomous or categorical response? Analysing self-rated health and lifetime social class. International Journal of Epidemiology, 29(1), 149–157. https://doi.org/10.1093/ije/29.1.149CrossRef

21.

Soltoft, F., Hammer, M., & Kragh, N. (2009). The association of body mass index and health-related quality of life in the general population: Data from the 2003 Health Survey of England. Quality of Life Research, 18(10), 1293–1299. https://doi.org/10.1007/s11136-009-9541-8CrossRefPubMedPubMedCentral

22.

Apple, R., Samuels, L. R., Fonnesbeck, C., Schlundt, D., Mulvaney, S., Hargreaves, M., & Heerman, W. J. (2018). Body mass index and health-related quality of life. Obesity Science & Practice, 4(5), 417–426. https://doi.org/10.1002/osp4.292CrossRef

23.

Larsson, U., Karlsson, J., & Sullivan, M. (2002). Impact of overweight and obesity on health-related quality of life—A Swedish population study. International Journal of Obesity, 26(3), 417–424. https://doi.org/10.1038/sj.ijo.0801919CrossRefPubMed

24.

Kulie, T., Slattengren, A., Redmer, J., Counts, H., Eglash, A., & Schrager, S. (2011). Obesity and women’s health: An evidence-based review. The Journal of the American Board of Family Medicine, 24(1), 75–85. https://doi.org/10.3122/jabfm.2011.01.100076CrossRefPubMed

25.

Lehnert, T., Sonntag, D., Konnopka, A., Riedel-Heller, S., & König, H. H. (2013). Economic costs of overweight and obesity. Best Practice & Research Clinical Endocrinology & Metabolism, 27(2), 105–115. https://doi.org/10.1016/j.beem.2013.01.002CrossRef

26.

Kortt, M. A., & Dollery, B. (2011). Association between body mass index and health-related quality of life among an Australian sample. Clinical Therapeutics, 33(10), 1466–1474. https://doi.org/10.1016/j.clinthera.2011.08.009CrossRefPubMed

27.

Seidl, H., Meisinger, C., Wende, R., & Holle, R. (2012). Empirical analysis shows reduced cost data collection may be an efficient method in economic clinical trials. BMC Health Services Research, 12, 1–12. https://doi.org/10.1186/1472-6963-12-318CrossRef

28.

Ford, E. S., Moriarty, D. G., Zack, M. M., Mokdad, A. H., & Chapman, D. P. (2001). Self-reported body mass index and health-related quality of life: Findings from the Behavioral Risk Factor Surveillance System. Obesity Research, 9(1), 21–31. https://doi.org/10.1038/oby.2001.4CrossRefPubMed

29.

Prosper, M. H., Moczulski, V. L., & Qureshi, A. (2009). Obesity as a predictor of self-rated health. American Journal of Health Behavior, 33(3), 319–329. https://doi.org/10.1093/ije/29.1.149CrossRefPubMed

30.

Bertsias, G., Mammas, I., Linardakis, M., & Kafatos, A. (2003). Overweight and obesity in relation to cardiovascular disease risk factors among medical students in Crete. Greece. BMC Public Health, 3(1), 1–9. https://doi.org/10.1186/1471-2458-3-3CrossRef

Titel: The association between BMI and self-reported health among a Brazilian sample: a cross-sectional study
Auteurs: Luan Vinicius Bernardelli
Michael A. Kortt
Michael B. Charles
Publicatiedatum: 13-01-2024
Uitgeverij: Springer International Publishing
Gepubliceerd in: Quality of Life Research / Uitgave 4/2024
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI: https://doi.org/10.1007/s11136-023-03583-y

Bohn Stafleu van Loghum

Deel dit onderdeel of sectie (kopieer de link)

Abstract

Objective

Methods

Results

Conclusions

Log in om toegang te krijgen

Andere artikelen Uitgave 4/2024

Is well-becoming important for children and young people? Evidence from in-depth interviews with children and young people and their parents

Administering selected subscales of patient-reported outcome questionnaires to reduce patient burden and increase relevance: a position statement on a modular approach

Predictors of persistence of post-chemotherapy symptoms among survivors of solid tumor cancers

Dynamic changes and lifetime effect of functional disability profiles for stroke patients: real-world evidence from South Korea

Assessing health-related quality of life and clinical outcomes of patients with diabetes accessing healthcare in two public hospitals in south-eastern Ghana: a cross-sectional descriptive study

Estimating anchor-based minimal important change using longitudinal confirmatory factor analysis