Prevalence of Depression and its Association with Smoking among the Elderly in Indonesia: A Cross-Sectional Analysis of IFLS 5 (2014)


Authors

Nuha Al-Aghbari
Doctoral Program of Public Health, Faculty of Medicine, Universitas Sebelas Maret
~ Author
Vitri Widyaningsih
Doctoral Program of Public Health, Faculty of Medicine, Universitas Sebelas Maret
~ Author
Ari Probandari
Doctoral Program of Public Health, Faculty of Medicine, Universitas Sebelas Maret
~ Author

Abstract

Background: The prevalence of depression among elderly individuals is a significant mental health concern, with potential implications for their overall well-being and quality of life. Understanding the factors associated with depression, such as smoking, is crucial for effective intervention. This study aimed to determine the prevalence of depression and its relationship with smoking among elderly individuals in Indonesia.

Subjects and Method: A cross-sectional, national survey was conducted using data from the fifth wave of the Indonesian Family Life Survey (IFLS-5) wave 5 (2014). The total sample was 2,927 elderly aged 60 to 94 years old. The dependent variable was depression. The independent variables were smoking, age, sex, employment, marital status, health status, physical activity, and sleep quality. The data were analyzed using a multiple linear regression run on Stata 13.

Results: The prevalence of depression among elderly individuals was 24.01%. However, the prevalence of smoking was even higher at 26.23% among those who were depressed. Female (b= 0.41; 95% CI= -0.075 to 0.89; p= 0.097), current smokers (b= 0.56; 95% CI= 0.12 to 1.06; p= 0.013), unhealthy people (b= 0.56; 95% CI= 0.33 to 0.80; p< 0.001), had two or more comorbidities (b= 1.06; 95% CI= 0.64 to 1.49; p< 0.001), high physical activity (b= 0.44; 95% CI= 0.24 to 0.63; p< 0.001), and poor sleep quality increased the risk of depression (b= 0.28; 95% CI= 0.25 to 0.31; p< 0.001). Older age reduced the risk of depression (b=-0.04; 95% CI= -0.07 to -0.02; p<0.001). Married (b= -0.01; 95% CI= -0.38 to 0.37; p= 0.973) and unemployed (b= -0.26; 95% CI= -0.61 to 0.08; p= 0.138) were negatively associated with depression, but they were not statistically significant.

Conclusion: Females, current smokers, unhealthy people had two or more comorbidities, high physical activity, and poor sleep quality increase the risk of depression. Older age reduces the risk of depression. Married and unemployed are negatively associated with depression, but they are not statistically significant.

Keywords: Depression, smoking, elderly, IFLS-5, Indonesia.

References

Ariaratnam S, Kee CC, Krishnapillai AD, Sanaudi R, Mohd Tohit N, Ho K.B, Shariff Ghazali S, et al. )2023(. Smoking status and its relationship with depression among the elderly population in Malaysia: Findings from the National Health and Morbidity Survey 2018. Tob Induc Dis. 21: 1–8. https://doi.org/10.18332-/tid/169682

Arns PG, Linney JA )1993(. Work, self, and life satisfaction for persons with severe and persistent mental disorders. Psychosoc Rehabil J. 17: 63–79. https://-doi.org/10.1037/h0095599

Barua A, Ghosh MK, Kar N, Basilio MA )2010(. Socio-demographic Factors of Geriatric Depression. Indian J Psychol Med. 32: 87–92. https://doi.org/10.4103/02-53-7176.78503

Bull FC, Maslin TS, Armstrong T (2009). Global Physical Activity Questionnaire (GPAQ): Nine Country Reliability and Validity Study. J Phys Act Health. 6: 790–804. https://-doi.org/10.1123/jpah.6.6.790

Bulloch AG, Williams JV, Lavorato DH, Patten SB )2009(. The relationship between major depression and marital disruption is bidirectional. Depress. Anxiety 26: 1172–1177. https:-//doi.org/10.1002/da.20618

Cahoon CG )2012(. Depression in older adults. AJN Am JNurs. 112: 22–30. https://doi.org/10.1097/-01.NAJ.0000422251.65212.4b

Chang SM, Hong JP, Cho MJ )2012(. Economic burden of depression in South Korea. Soc. Psychiatry Psychiatr Epidemiol. 47: 683–689. https://doi.org/10.1007/-s00127-011-0382-8

Dehghankar L, Ghorbani A, Anbari M(2023(. Association between depression and sleep quality in Iranian older adults. AJGG . 17: 50-54. https://doi.org/10.1280

/ajgg-2020-430-oa

Donohue JM, Pincus HA )2007(. Reducing the Societal Burden of Depression: A Review of Econo-mic Costs, Quality of Care and Effects of Treatment. Pharmaco-Economics 25: 7–24. https://-doi.org/10.2165/00019053-20-0725010-00003

Du X, Wu R, Kang L, Zhao L, Li C )2022(. Tobacco smoking and depressive symptoms in Chinese middle-aged and older adults: Handling missing values in panel data with multiple imputation. Front Public Health 10. https://-doi.org/doi.org/10.3389/fpubh-.2022.913636

Gavric Z, Markovic B, Cukafic A )2012(. Correlation between levels of physical activity and the occurrence of depression among Patients in Family Medicine Cli-nics. Electron J Gen Med. 9: 75–80. https://doi.org/10.29333/-ejgm/82468

Goyal A, Kajal KS )2014(. Prevalence of depression in elderly population in the southern part of Punjab. J. Fam. Med. Prim. Care 3: 359. https://doi.org/10.410-3/2249-4863.148109

Grundström J, Konttinen H, Berg N, Kiviruusu O, (2021). Associations between relationship status and mental well-being in different life phases from young to middle adulthood. SSM - Popul. Health 14: 100774. https://doi.-org/10.1016/j.ssmph.2021.100-774

Handajani YS, Schröder-Butterfill E, Hogervorst E, Turana Y, Hengky A )2022(. Depression among older adults in Indonesia: Pre-valence, Role of chronic conditions and other associated factors. Clin Pract Epidemiol Ment Health 18: e1745017922-07010. https://doi.org/10.2174-/17450179-v18-e2207010.

James C, Powell M, Seixas A, Bateman, A, Pengpid S, Peltzer K )2020(. Exploring the psychometric properties of the CES‐D‐10 and its practicality in detecting depressive symptomatology in 27 low‐ and middle‐income countries. Int J Psychol. 55: 435–445. https://doi.org/10.1002/ijop.1-2613

Kang HJ, Bae KY, Kim SW, Shin HY, Shin IS, Yoon JS, Kim JM (2017). Impact of Anxiety and Depression on Physical Health Condition and Disability in an Elderly Korean Population. Psychiatry Investig. 14: 240. https://doi.-org/10.4306/pi.2017.14.3.240

Kilburn K, Prencipe, Hjelm L, Peter-man A, Handa S, Palermo T (2018). adhof the Center for Epidemiologic Studies Depress-ion Scale Short Form 10 among African youth in poor, rural households. BMC Psychiatry 18: 201. https://doi.org/10.1186/-s12888-018-1774-z

Kim JM, Shin IS, Yoon JS, Stewart R )2002(. Prevalence and correlates of late‐life depression compared between urban and rural populations in Korea. Int J Geri-atr Psychiatry 17: 409–415. https://doi.org/10.1002/gps.622.

Li LW, Liu J, Zhang Z, Xu H )2015(. Late‐life depression in Rural China: do village infrastructure and availability of community resources matter? Int. J. Geriatr. Psychiatry 30: 729–736.https:-//doi.org/10.1002/gps.4217

Madruga CS, Ferri CP, Pinsky I, Blay SL, Caetano R, Laranjeira R )2010(. Tobacco use among the elderly: The first Brazilian National Survey (BNAS). Aging Ment. Health 14: 720–724. https://doi-.org/10.1080/13607860903586177.

Mahmood N, Goldstein S, Thiele A, Trotchie M, Bordes JD (2023). Smoking and Depression Risk Reduction in a Primary Care Setting. J Prim Care Community Health 14, 21501319231213748. https://doi.org/10.1177/21501319231213748

Murray CJ, Lopez AD (1997). Alternative projections of mortality and disability by cause 1990–2020: Global Burden of Disease Study. The lancet 349: 1498–1504. https://doi.org/10.1016-/S0140-6736(96)0749-2

Murray CJ, Lopez AD, World Health Organization )1996(. The global burden of disease: a comprehensive assessment of mortality and disability from diseases, injuries, and risk factors in 1990 and projected to 2020: sum-mary. World Health Organization.

Opie RS, Ball K, Abbott G, Crawford D, Teychenne M, McNaughton SA )2020(. Adherence to the Australian dietary guidelines and development of depressive symptoms at 5 years follow-up amongst women in the READI cohort study. Nutr. J. 19, 30. https://doi.org/10.1186/s12937-020-00540-0.

Oppong Asante K, Andoh-Arthur J )2015(. Prevalence and determinants of depressive symptoms among university students in Ghana. J Affect Disord. 171: 161–166. https://doi.org/10.1016/j.j-ad.2014.09.025

Pan L, Li L, Peng H, Fan L, Liao J, Wang M, Tan A, Zhang Y)2022(. Association of depressive symptoms with marital status among the middle-aged and elderly in Rural China–Serial mediating effects of sleep time, pain and life satisfaction. J. Affect. Disord. 303: 52–57. https://doi.org/10.-1016/j.jad.2022.01.111

Sengupta P, Benjamin A )2015(. Prevalence of depression and associated risk factors among the elderly in urban and rural field practice areas of a tertiary care institution in Ludhiana. Indian J Public Health 59, 3. https://-doi.org/10.4103/0019-557X.15-2845

Sever S, Doherty P, Golder S, Harrison AS )2020(. Is improvement in depression in patients attending cardiac rehabilitation with new-onset depressive symptoms determined by patient characte-ristics? Open Heart 7, e001264. https://doi.org/10.1136/openhrt-2020-001264.

Strauss J, Witoelar F, Sikoki B )2016(. The Fifth Wave of the Indonesia Family Life Survey: Overview and Field Report: Volume 1. RAND Corporation. https://doi-.org/10.7249/WR1143.1

Theofilou P )2011(. Depression and Anxiety in Patients with Chronic Renal Failure: The Effect of Sociodemographic Characteris-tics. Int J Nephrol. 2011:1–6. https://doi.org/10.4061/2011/-514070

United Nations New York, U.N.N.Y )2013(. World Population Pros-pects Economic & Social Affairs The 2012 Revision. United Nati-ons New York, 2013.

Wang H, Hai S, Liu Yixin, Cao L, Liu Ying, Liu P, Zhou J, Yang Y, Dong B )2018(. Association between depressive symptoms and sarcopenia in older Chinese community-dwelling individuals. Clin Interv Aging 1605–1611.https://doi.org/doi.org/-10.2147/CIA.S173146

Wardhani YF, Nantabah ZK, Mach-futra ED, Lestyoningrum SD, Oktarina Nurjana MA )2024(. The prevalence and distribution of risk factors for depression and emotional mental disorders in the elderly in Indonesia. Int J Soc. Psychiatry. 002076402412-27381.

WHO (2022). WHO (Mental health). avaliable at: https://www.who. .int/en/news-room/fact-sheets-/detail/mental-health-of-older-adults

United Nations, Department of Econo-mic and Social Affairs, Population Division (2019). World Population Ageing 2019: Highlights (ST/ESA/SER.A/430).

avaliabe at https://www.un.org/en/desa/population/publications/pdf/ageing/WorldPopulationAgeing2019-Highlghts.pdf

Yang G, D’Arcy C )2022(. The changing relationship between health risk behaviors and depression among birth cohorts of Canadians 65+, )1994–2014(. Front. Psychiatry 13: 1078161. https://doi.org/10.-3389/fpsyt.2022.1078161

Yu L, Buysse DJ, Germain A, Moul DE, Stover A, Dodds NE, Johnston KL, Pilkonis PA )2012(. Development of short forms from the PROMISTM sleep disturbance and sleep-related impairment item banks. Behav. Sleep. Med. 10: 6–24.

How to Cite

Prevalence of Depression and its Association with Smoking among the Elderly in Indonesia: A Cross-Sectional Analysis of IFLS 5 (2014). (2024). The International Conference on Public Health Proceeding, 9(1), 124-136. https://doi.org/10.26911/ICPH11/Epidemiology/2024.FP02