Hostname: page-component-586b7cd67f-vdxz6 Total loading time: 0 Render date: 2024-11-30T19:09:47.910Z Has data issue: false hasContentIssue false

Severe obesity increases the prevalence but not the incidence of depressive symptoms in the elderly-population-based cohort in Southern Brazil

Published online by Cambridge University Press:  06 February 2017

Vanessa Fernanda Goes
Affiliation:
Postgraduate Program in Nutrition, Federal University of Santa Catarina, Florianópolis, Brazil
Elisabeth Wazlawik
Affiliation:
Postgraduate Program in Nutrition, Federal University of Santa Catarina, Florianópolis, Brazil
Eleonora D'Orsi
Affiliation:
Department of Public Health, Federal University of Santa Catarina, Florianópolis, Brazil
David Alejandro González-Chica*
Affiliation:
School of Medicine, The University of Adelaide, Adelaide, Australia
*
Correspondence should be addressed to: D. A. González-Chica, PhD, Discipline of General Practice, School of Medicine, The University of Adelaide, 178 North Terrace, Level 11, MDP DX 650 550, South Australia, Adelaide 5005, Australia. Phone: +61 8 8313 1631. Email: [email protected].

Abstract

Background:

The relation between body weight status and depressive symptoms in the elderly differs according to age and country of origin. The goal of this study was to analyze the cross-sectional and longitudinal relationship between body mass index (BMI), waist circumference (WC) and depressive symptoms in the elderly.

Methods:

A population-based cohort study of 1,702 elderly individuals (70.6+8.0 years) in Southern Brazil evaluated in 2009/10 and 2013/14 was accessed. The body weight status was assessed using measured data of BMI and WC. The Geriatric Depression Scale (GDS-15) was used to determine depressive symptoms. Logistic regression analysis adjusted for sociodemographic and behavioral variables was performed.

Results:

The prevalence of depressive symptoms in 2009/10 was 23.3% (95% CI 20.3–26.6) and the cumulative incidence in the 4-years period was 10.9% (95% CI 8.7–13.6). Elderly people with obesity class II–III and WC in the highest quartile had higher prevalence odds ratio of being depressed than individuals with normal weight or WC in the lower quartile (OR 2.34; 95% CI 1.42–3.87 and OR 1.73; 95% CI 1.13–2.65, respectively). Meanwhile, intermediary values of BMI and WC were associated with a lower prevalence. When evaluating the incidence of depressive symptoms, overweight individuals and those in the second quartile of WC had a lower risk (58% and 57%, respectively), but severely obese individuals had the same risk compared to those with normal BMI/WC.

Conclusions:

Severely obese individuals presented a similar incidence of depressive symptoms compared to those with normal BMI/WC, but higher prevalence. Intermediary values of body weight status decrease the risk of depressive symptoms.

Type
Research Article
Copyright
Copyright © International Psychogeriatric Association 2017 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Akbaraly, T. N. et al. (2011). Metabolic syndrome and onset of depressive symptoms in the elderly: findings from the three-city study. Diabetes Care, 34, 904909. doi: https://doi.org/10.2337/dc10-1644.Google Scholar
Almeida, O. P. and Almeida, S. A. (1999). Reliability of the Brazilian version of the geriatric depression scale (GDS) short form. Arquivos de Neuro-Psiquiatria, 57, 421426. doi: https://doi.org/10.1590/S0004-282X1999000300013.Google Scholar
Almeida, O. P., Calver, J., Jamrozik, K., Hankey, G. J. and Flicker, L. (2009). Obesity and metabolic syndrome increase the risk of incident depression in older men: the health in men study. American Journal of Geriatric Psychiatry, 17, 889898. doi: https://doi.org/10.1097/JGP.0b013e3181b047e3.Google Scholar
Bock, J. O. et al. (2014). Impact of depression on health care utilization and costs among multimorbid patients – results from the MultiCare cohort study. PLoS One, 9, e91973. doi: https://doi.org/10.1371/journal.pone.0091973.Google Scholar
Brazilian Institute of Geography and Statistics (2009). Population Estimates for the Brazilian Municipalities on 01.07.2009. Brasília: Brazil's Federal Register. Available at: http://www.ibge.gov.br/english/estatistica/populacao/estimativa2009/estimativa.shtm.Google Scholar
Burns, R. A., Butterworth, P., Luszcz, M. and Anstey, K. J. (2013). Stability and change in level of probable depression and depressive symptoms in a sample of middle and older-aged adults. International Psychogeriatrics, 25, 303309. doi: https://doi.org/10.1017/s1041610212001470.Google Scholar
Carpenter, K. M., Hasin, D. S., Allison, D. B. and Faith, M. S. (2000). Relationships between obesity and DSM-IV major depressive disorder, suicide ideation, and suicide attempts: results from a general population study. American Journal of Public Health, 90, 251257. doi: https://doi.org/10.2105/AJPH.90.2.251.Google Scholar
Chang, H.-H. and Yen, S. T. (2012). Association between obesity and depression: evidence from a longitudinal sample of the elderly in Taiwan. Aging & Mental Health, 16, 173180. doi: https://doi.org/10.1080/13607863.2011.605053.Google Scholar
Craig, C. L. et al. (2003). International physical activity questionnaire: 12-country reliability and validity. Medicine and Science in Sports and Exercise, 35, 13811395. doi: https://doi.org/10.1249/01.mss.0000078924.61453.fb.Google Scholar
Crandall, C. S. et al. (2001). An attribution-value model of prejudice: anti-fat attitudes in six nations. Personality and Social Psychology Bulletin, 27, 3037. doi: https://doi.org/10.1177/0146167201271003.Google Scholar
Crisp, A. H. and McGuiness, B. (1976). Jolly fat: relation between obesity and psychoneurosis in general population. British Medical Journal, 1, 79. doi: https://doi.org/10.1136/bmj.1.6000.7.Google Scholar
de Hollander, E. L. et al. (2012). The association between waist circumference and risk of mortality considering body mass index in 65- to 74-year-olds: a meta-analysis of 29 cohorts involving more than 58 000 elderly persons. International Journal of Epidemiology, 41, 805817. doi: https://doi.org/10.1093/ije/dys008.Google Scholar
de Souto Barreto, P., Ferrandez, A. M. and Guihard-Costa, A. M. (2011). Predictors of body satisfaction: differences between older men and women's perceptions of their body functioning and appearance. Journal of Aging and Health, 23, 505528. doi: https://doi.org/10.1177/0898264310386370.Google Scholar
Gorber, S. C., Tremblay, M., Moher, D. and Gorber, B. (2007). A comparison of direct versus self-report measures for assessing height, weight and body mass index: a systematic review. Obesity Reviews, 8, 307326. doi: https://doi.org/10.1111/j.1467-789X.2007.00347.x.Google Scholar
Jackson, S. E., Beeken, R. J. and Wardle, J. (2015). Obesity, perceived weight discrimination, and psychological well-being in older adults in England. Obesity, 23, 11051111. doi: https://doi.org/10.1002/oby.21052.Google Scholar
Kim, E. et al. (2010). Obesity and depressive symptoms in elderly Koreans: evidence for the ‘‘Jolly Fat’’ hypothesis from the ansan geriatric (AGE) study. Archives of Gerontology and Geriatrics, 51, 231234. doi: https://doi.org/10.1016/j.archger.2009.10.014.Google Scholar
Kuriyama, S. et al. (2006). Obesity and depressive symptoms in elderly Japanese: the tsurugaya project. Journal of Psychosomatic Research, 60, 229235. doi: https://doi.org/10.1016/j.jpsychores.2005.07.010.Google Scholar
Li, Z. B. et al. (2004). Obesity and depressive symptoms in Chinese elderly. International Journal of Geriatric Psychiatry, 19, 6874. doi: https://doi.org/10.1002/gps.1040.Google Scholar
Lohman, T. G., Roche, A. F. and Martorell, R. (1988). Anthropometric Standardization Reference Manual. Champaign: Human Kinetics Books.Google Scholar
Luppino, F. S. et al. (2010). Overweight, obesity, and depression. A systematic review and meta-analysis of longitudinal studies. Archives of General psychiatry, 67, 220229. doi: https://doi.org/10.1001/archgenpsychiatry.2010.2.Google Scholar
McCrea, R. L., Berger, Y. G. and King, M. B. (2012). Body mass index and common mental disorders: exploring the shape of the association and its moderation by age, gender and education. International Journal of Obesity, 36, 414421. doi: https://doi.org/10.1038/ijo.2011.65.Google Scholar
Meeks, T. W., Vahia, I. V., Lavretsky, H., Kulkarni, G. and Jeste, D. (2011). A tune in “a minor” can “B major”: a review of epidemiology, illness course, and public health implications of subthreshold depression in older adults. Journal of Affective Disorders, 129, 126142. doi: https://doi.org/10.1016/j.jad.2010.09.015.Google Scholar
Noh, J. W., Kwon, Y. D., Park, J. and Kim, J. (2015). Body mass index and depressive symptoms in middle aged and older adults. BMC Public Health, 15, 310. doi: https://doi.org/10.1186/s12889-015-1663-z.Google Scholar
Oreopoulos, A., Kalantar-Zadeh, K., Sharma, A. M. and Fonarow, G. C. (2009). The obesity paradox in the elderly: potential mechanisms and clinical implications. Clinics in Geriatric Medicine, 25, 643659. doi: https://doi.org/10.1016/j.cger.2009.07.005.Google Scholar
Serretti, A. and Mandelli, L. (2010). Antidepressants and body weight: a comprehensive review and meta-analysis. The Journal of Clinical Psychiatry, 71, 12591272. doi: https://doi.org/10.4088/JCP.09r05346blu.Google Scholar
Tessari, A. A., Giehl, M. W., Schneider, I. J. and Gonzalez-Chica, D. A. (2016). Anthropometric measures change and quality of life in elderly people: a longitudinal population-based study in Southern Brazil. Quality of Life Research, 110. doi: https://doi.org/10.1007/s11136-016-1330-6.Google Scholar
Vianna, C. A., da Silva, L. R. and Bielemann, R. M. (2014). Accuracy and adequacy of waist circumference cut-off points currently recommended in Brazilian adults. Public Health Nutrition, 17, 861869. doi: https://doi.org/10.1017/S1368980013000529.Google Scholar
Villareal, D. T., Apovian, C. M., Kushner, R. F. and Klein, S. (2005). Obesity in older adults: technical review and position statement of the American society for nutrition and NAASO, the obesity society. American Journal of Clinical Nutrition, 82, 923934. doi: https://doi.org/10.1038/oby.2005.228.Google Scholar
Volkert, J., Schulz, H., Harter, M., Wlodarczyk, O. and Andreas, S. (2013). The prevalence of mental disorders in older people in Western countries – a meta-analysis. Ageing Research Reviews, 12, 339353. doi: https://doi.org/10.1016/j.arr.2012.09.004.Google Scholar
Wild, B., Herzog, W., Lechner, S. and Niehoff, D. (2012). Gender specific temporal and cross-sectional associations between BMI-class and symptoms of depression in the elderly. Journal of Psychosomatic Research, 72, 376382. doi: https://doi.org/10.1016/j.jpsychores.2012.01.019.Google Scholar
World Health Organization (2014). Global Health Estimates 2014 Summary Tables: Daily by Cause, Age and Sex, 2000–2012. Available online: http://www.who.int/healthinfo/global_burden_disease/en/; last Accessed 31 March 2016.Google Scholar
World Health Organization (2015). BMI Classification. Global Database on Body Mass Index. Available at: http://apps.who.int/bmi/index.jsp?introPage=intro_3.html. last accessed 31 March 2016 March.Google Scholar
Supplementary material: File

Goes supplementary material

Tables S1-S3

Download Goes supplementary material(File)
File 27.3 KB