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Psychological prognosis after newly diagnosed chronic conditions: socio-demographic and clinical correlates

Published online by Cambridge University Press:  02 November 2016

Ching-Ju Chiu ,
Yu-Ching Hsu  and
Shuo-Ping Tseng
Ching-Ju Chiu
Affiliation:
Institute of Gerontology, College of Medicine, National Cheng Kung University, Tainan, Taiwan
Yu-Ching Hsu*
Affiliation:
Department of Chinese Medicine, Tainan Hospital, Ministry of Health and Welfare, Tainan, Taiwan
Shuo-Ping Tseng
Affiliation:
Department of Chinese Medicine, Tainan Municipal Hospital, Tainan, Taiwan
*
Correspondence should be addressed to: Yu-Ching Hsu, Department of Chinese Medicine, Tainan Hospital, Ministry of Health and Welfare, Tainan, Taiwan. Phone: +886-62200055, ext. 3086; Fax: +886-63028175. Email: yuchinghsupro@gmail.com.
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Abstract

Background:

This study was aimed toward discerning depressive symptom trajectories associated with different chronic conditions and toward finding modifiable factors associated with those trajectories.

Methods:

Data were drawn from the 1996–2007 Taiwan Longitudinal Study on Aging. Nine chronic conditions were selected, and mood trajectories were measured with the Center of Epidemiological Studies-Depression scale.

Results:

Among the nine chronic conditions we examined, four patterns of depressive symptom trajectories were identified: (1) elevated depressive symptoms and worsened over time after diagnosed with heart disease (n = 681), arthritis (n = 850), or hypertension (n = 1,207); (2) elevated depressive symptoms without worsening over time after diagnosed with stroke (n = 160), lung diseases (n = 432), gastric conditions (n = 691), or liver diseases (n = 234); (3) no elevated depressive symptoms after diagnosis but an increase in depressive symptoms over time for participants with diabetes (n = 499); and (4) no significant patterns after diagnosed with cancer (n = 57). Cumulative psychological burden over time was significant for participants with hypertension, diabetes, heart diseases, or arthritis. However, these effects disappeared after controlling for comorbidities and physical limitations. Moreover, psychiatric condition was found to play an important role in baseline depressive symptoms among participants diagnosed with lung diseases, arthritis, or liver diseases.

Conclusions:

Findings from this study provide information in addressing psychological burden at different times for different conditions. In addition, minimizing the incidence of comorbidities, physical limitations, or psychiatric conditions may have the prospective effect of avoiding the trend of increased depressive symptoms, especially when adults diagnosed with hypertension, diabetes, heart diseases, arthritis, lung diseases, arthritis, or liver diseases.

Keywords

chronic diseasesdepressive symptomstrajectoriestime after diagnosisTaiwanmiddle-aged and older adults
Type
Research Article
Information
International Psychogeriatrics , Volume 29 , Issue 2 , February 2017 , pp. 281 - 292
Copyright
Copyright © International Psychogeriatric Association 2016 

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References

Bryk, A. S. and Raudenbush, S. W. (1987). Application of hierarchical linear-models to assessing change. Psychological Bulletin, 101, 147–158.Google Scholar
Chang, K.-F. and Weng, L.-J. (2013). Screening for depressive symptoms among older adults in Taiwan: cutoff of a short form of the center for epidemiologic studies depression scale. Health, 5, 588.Google Scholar
Chi, M. J., Lee, C. Y. and Wu, S. C. (2011). The prevalence of chronic conditions and medical expenditures of the elderly by chronic condition indicator (CCI). Archives of Gerontology and Geriatrics, 52, 284–289.CrossRefGoogle ScholarPubMed
Chiu, C. J., Wray, L. A. and Ofstedal, M. B. (2011). Diabetes-related change in physical disability from midlife to older adulthood: evidence from 1996–2003 survey of health and living status of the elderly in Taiwan. Diabetes Research and Clinical Practice, 91, 413–423.CrossRefGoogle ScholarPubMed
Cojocaru, D.-C., Corina, D.-C., Mitu, F. and Szalontay, A. (2014). Socioeconomic status and psychological factors in patients with essential hypertension. Revista de Cercetare şi Intervenţie Socială, 44, 147–159.Google Scholar
De Ryck, A. et al. (2014). Psychosocial problems associated with depression at 18 months poststroke. International Journal of Geriatric Psychiatry, 29, 144–152.CrossRefGoogle ScholarPubMed
Dima-Cozma, C., Mitu, F., Szalontay, A. and Cojocaru, D. C. (2014). Socioeconomic status and psychological factors in patients with essential hypertension. Revista De Cercetare Si Interventie Sociala, 44, 147–159.Google Scholar
Goldman, N., Lin, I. F., Weinstein, M. and Lin, Y.-H. (2003). Evaluating the quality of self-reports of hypertension and diabetes. Journal of Clinical Epidemiology, 56, 148–154.Google Scholar
Goldney, R. D., Phillips, P. J., Fisher, L. J. and Wilson, D. H. (2004). Diabetes, depression, and quality of life a population study. Diabetes Care, 27, 1066–1070.CrossRefGoogle ScholarPubMed
Horne, D. et al. (2013). Impact of physical activity on depression after cardiac surgery. Canadian Journal of Cardiology, 29, 1649–1656.CrossRefGoogle ScholarPubMed
Huang, C.-Q., Dong, B.-R., Lu, Z.-C., Yue, J.-R. and Liu, Q.-X. (2010). Chronic diseases and risk for depression in old age: a meta-analysis of published literature. Ageing Research Reviews, 9, 131–141.Google Scholar
Hung, Y. P. et al. (2013). Incidence and risk of mood disorders in patients with breast cancers in Taiwan: a nationwide population-based study. Psycho-Oncology, 22, 2227–2234.CrossRefGoogle ScholarPubMed
Ku, P. W., Fox, K. R., Chen, L. J. and Chou, P. (2012). Physical activity and depressive symptoms in older adults 11-year follow-up. American Journal of Preventive Medicine, 42, 355–362.Google Scholar
Li, X. et al. (2012). The trajectories and correlation between physical limitation and depression in elderly residents of Beijing, 1992–2009. Plos One, 7, 7.Google Scholar
Lorant, V., Deliège, D., Eaton, W., Robert, A., Philippot, P. and Ansseau, M. (2003). Socioeconomic inequalities in depression: a meta-analysis. American Journal of Epidemiology, 157, 98–112.Google Scholar
McCusker, J. et al. (2016). Six-month trajectories of self-reported depressive symptoms in long-term care. International Psychogeriatrics, 28, 71–81.CrossRefGoogle ScholarPubMed
Øverland, S., Knapstad, M., Wilhelmsen, I., Mykletun, A. and Glozier, N. (2011). Do gastrointestinal complaints increase the risk for subsequent medically certified long-term sickness absence? The HUSK study. BMC Gastroenterology, 11, 1.Google Scholar
Perng, C.-L. et al. (2014). Risk of depressive disorder following non-alcoholic cirrhosis: a nationwide population-based study. PloS one, 9, e88721.CrossRefGoogle ScholarPubMed
Polsky, D. et al. (2005). Long-term risk for depressive symptoms after a medical diagnosis. Archives of Internal Medicine, 165, 1260–1266.Google Scholar
Radloff, L. S. (1977). The CES-D scale: a self-report depression scale for research in the general population. Applied Psychological Measurement, 1, 385–401.Google Scholar
Rowan, P. J., Haas, D., Campbell, J. A., Maclean, D. R. and Davidson, K. W. (2005). Depressive symptoms have an independent, gradient risk for coronary heart disease incidence in a random, population-based sample. Annals of Epidemiology, 15, 316–320.CrossRefGoogle Scholar
Schabert, J., Browne, J. L., Mosely, K. and Speight, J. (2013). Social stigma in diabetes. The Patient-Patient-Centered Outcomes Research, 6, 1–10.Google Scholar
Seplaki, C. L., Goldman, N., Weinstein, M. and Lin, Y.-H. (2006). Before and after the 1999 Chi-Chi earthquake: traumatic events and depressive symptoms in an older population. Social Science & Medicine, 62, 3121–3132.CrossRefGoogle Scholar
SZ, N. (1976). An epidemiology of disability among adults in the United States. Milbank Mem. Fund Q, 54, 439–468.Google Scholar
Tolea, M., Black, S., Carter-Pokras, O. and Kling, M. (2007). Depressive symptoms as a risk factor for osteoporosis and fractures in older Mexican American women. Osteoporosis International, 18, 315–322.Google Scholar
Tsai, T.-Y., Livneh, H., Lu, M.-C., Tsai, P.-Y., Chen, P.-C. and Sung, F.-C. (2013). Increased risk and related factors of depression among patients with COPD: a population-based cohort study. BMC Public Health, 13, 1.Google Scholar
Uebelacker, L. A. et al. (2013). + Social support and physical activity as moderators of life stress in predicting baseline depression and change in depression over time in the Women's Health Initiative. Social Psychiatry and Psychiatric Epidemiology, 48, 1971–1982.Google Scholar
Vos, T. et al. (2012). Years lived with disability (YLDs) for 1160 sequelae of 289 diseases and injuries 1990-2010: a systematic analysis for the global burden of disease study 2010. Lancet, 380, 2163–2196.Google Scholar