Depression among Community Middle Adulthood Age Groups

Susanti Niman(1*), Lidwina Triastuti Listianingsih(2), Elsi Petronella(3)

(1) STIKes Santo Borromeus
(2) STIKes Santo Borromeus
(3) STIKes Santo Borromeus
(*) Corresponding Author


The second peak in the incidence of depression occurs in the middle adulthood age groups. Depression has a more chronic course and poorer prognosis in older adults than in younger and the effect caused impaired well-being. Research on depression in the middle adult group has not been widely carried out and is mostly done in  early adulthood and elderly groups Purpose of the research to identify the level of depression in the middle adulthood age groups.Research method using quantitative research with a descriptive design. The research instrument used depression inventory from Beck Depression Inventory (BDI-II). The sample was selected using a total sampling technique, amounting to 170 respondents. The results showed respondents were studied, 48.8% are men and 51.2% are women. There are 20% of respondents at the level of mild depression, 56.5% of respondents at the level of moderate depression and 4.7% of respondents at the level of major depression. The research results can become basic data that can be developed for mental health services in the community at the primary health level.


beck depression inventory-II; depression; middle adulthood age

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Al-Maharbi, S., Abolkhair, A. B., Al Ghamdi, H., Haddara, M., Tolba, Y., El Kabbani, A., Al Sadoun, A., Pangilinan, E., Joy, J., Khait, S. A., & Al-Khudhairy, M. W. (2018). Prevalence of depression and its association with sociodemographic factors in patients with chronic pain: A cross-sectional study in a tertiary care hospital in Saudi Arabia. Saudi journal of anaesthesia, 12(3), 419–425.

De Miranda Azevedo, R., Roest, A. M., Carney, R. M., Denollet, J., Freedland, K. E., Grace, S. L., Hosseini, S. H., Lane, D. A., Parakh, K., Pilote, L., & de Jonge, P. (2016). A bifactor model of the Beck Depression Inventory and its association with medical prognosis after myocardial infarction. Health psychology : official journal of the Division of Health Psychology, American Psychological Association, 35(6), 614–624.

English, I., & Campbell, D. G. (2019). Prevalence and characteristics of universal depression screening in U.S. college health centers. Families, systems & health : the journal of collaborative family healthcare, 37(2), 131–149.

Estabrook, R., Sadler, M. E., & McGue, M. (2015). Differential item functioning in the cambridge mental disorders in the elderly (CAMDEX) depression scale across middle age and late life. Psychological Assessment, 27(4), 1219-1233. doi:

Galambos, N. L., Johnson, M. D., & Krahn, H. J. (2018). The anger–depression connection: Between-persons and within-person associations from late adolescence to midlife. Developmental Psychology, 54(10), 1940-1953. doi:

Infurna, F. J., Gerstorf, D., & Lachman, M. E. (2020). Midlife in the 2020s: Opportunities and challenges. American Psychologist, 75(4), 470-485. doi:

Kim, J. S., & Kang, S. (2015). A study on body image, sexual quality of life, depression, and quality of life in middle-aged adults. Asian Nursing Research, 9(2), 96-103. doi:

Lopez, V., Sanchez, K., Killian, M. O., & Eghaneyan, B. H. (2018). Depression screening and education: an examination of mental health literacy and stigma in a sample of Hispanic women. BMC public health, 18(1), 646.

Maher, G. M., Perry, C. P., Perry, I. J., & Harrington, J. M. (2016). Protective lifestyle behaviours and depression in middle-aged irish men and women: A secondary analysis. Public Health Nutrition, 19(16), 2999-3006. doi:

Maurer, D. M., Raymond, T. J., & Davis, B. N. (2018). Depression: Screening and Diagnosis. American family physician, 98(8), 508–515.

Nanthakumar, S., Bucks, R. S., & Skinner, T. C. (2016). Are we overestimating the prevalence of depression in chronic illness using questionnaires? meta-analytic evidence in obstructive sleep apnoea. Health Psychology, 35(5), 423-432. doi:

Owens, M., Watkins, E., Bot, M., Brouwer, I.A., Roca, M., Kohls, E., Penninx, B.W.J.H., van Grootheest, G., Hegerl, U., Gili, M., & Visser, M.(2020). Nutrition and depression: Summary of findings from the EU‐funded MooDFOOD depression prevention randomised controlled trial and a critical review of the literature. Nutr. Bull.. doi:10.1111/nbu.12447

Park, L. T., & Zarate, C. A., Jr (2019). Depression in the Primary Care Setting. The New England journal of medicine, 380(6), 559–568.

Qiao, Y‐M., Lu, Y‐K., Yan, Z., Yao, W., Pei, J‐J., & Wang, H‐X.(2019). Reciprocal associations between job strain and depression: A 2‐year follow‐up study from the Survey of Health, Ageing and Retirement in Europe. Brain Behav.; 9:e01381.

Sang-Wook, Y., & Jae-Seok, H. (2015). Depressive symptoms and other risk factors predicting suicide in middle-aged men: A prospective cohort study among korean vietnam war veterans. PeerJ, doi:

Steiger, A. E., Fend, H. A., & Allemand, M. (2015). Testing the vulnerability and scar models of self-esteem and depressive symptoms from adolescence to middle adulthood and across generations. Developmental Psychology, 51(2), 236-247. doi:

Weinberger, A. H., Gbedemah, M., Martinez, A. M., Nash, D., Galea, S., & Goodwin, R. D. (2018). Trends in depression prevalence in the USA from 2005 to 2015: Widening disparities in vulnerable groups. Psychological Medicine, 48(8), 1308-1315. doi:

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