Depressive Symptoms and Related Risk Factors in Old and Oldest-old Elderly People with Arthritis.
10.4040/jkan.2009.39.1.72
- Author:
Ji Yeon AN
1
;
Young Ran TAK
Author Information
1. Department of Nursing, Hanyang University, Seoul, Korea. anjiyeon75@hanmail.net
- Publication Type:Original Article ; English Abstract ; Comparative Study
- Keywords:
Depression;
Elderly;
Arthritis
- MeSH:
Activities of Daily Living;
Aged;
Aged, 80 and over;
Arthritis/*psychology;
Body Mass Index;
Comorbidity;
Depression/*psychology;
Female;
Health Status;
Humans;
Interviews as Topic;
Longitudinal Studies;
Male;
Risk Factors;
Socioeconomic Factors
- From:Journal of Korean Academy of Nursing
2009;39(1):72-83
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
PURPOSE: This study was to investigate the prevalence of depressive symptoms and risk factors in elderly people (old vs oldest-old) with arthritis. METHODS: The Korean Longitudinal Study of Aging (KLoSA) was used with a sample of 1,084 elderly people with arthritis aged 65 or above. RESULTS: We found that the prevalence of depressive symptom was greater for oldest-old people (66.7%) compared to old people (56%). Significant differences between old people and oldest-old people were found for education, living with spouse, number of generation, regular exercise, body mass index (BMI), ADL limitation, self-rated health, and depression. Significant differences existed between depression and non-depression in terms of all variables except region and BMI among old people. But, among the oldest people, ADL limitation and self-rated health showed differences. The Logistic regression analysis revealed that religion, medical comorbidity, ADL limitation, self-rated health were significantly associated with depressive symptoms in old people. But, in oldest-old people, none of the variables were associated with depressive symptoms. CONCLUSION: The findings show that there are age differences in depression and related factors in elderly people with arthritis. Longitudinal studies, which covered depressive symptom severity and which are controlled for a large number of potential confounders, will need to complement the results of this study in the future.
