Associations between Depressive State and Impaired Higher-Level Functional Capacity in the Elderly with Long-Term Care Requirements

• Published in: PloS one Vol. 10; no. 6; p. e0127410
• Main Authors: Ogata, Soshiro, Hayashi, Chisato, Sugiura, Keiko, Hayakawa, Kazuo
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 02.06.2015; Public Library of Science (PLoS)
• Subjects: Activities of Daily Living; Aged; Aged, 80 and over; Analysis; Communities; Cross-Sectional Studies; Demographic aspects; Depression; Depression (Mood disorder); Design standards; Diabetes; Elderly; Family income; Female; Geriatrics; Health promotion; Humans; Japan; Logistic Models; Long term health care; Long-Term Care; Male; Marital status; Mental depression; Mortality; Nursing; Odds Ratio; Older people; Physiological aspects; Preventive medicine; Propensity Score; Psychological aspects; Risk factors; Statistical models; Statistics; Studies; Women; Japan; Austria
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0127410

Depressive state has been reported to be significantly associated with higher-level functional capacity among community-dwelling elderly. However, few studies have investigated the associations among people with long-term care requirements. We aimed to investigate the associations between depressive state and higher-level functional capacity and obtain marginal odds ratios using propensity score analyses in people with long-term care requirements. We conducted a cross-sectional study based on participants aged ≥ 65 years (n = 545) who were community dwelling and used outpatient care services for long-term preventive care. We measured higher-level functional capacity, depressive state, and possible confounders. Then, we estimated the marginal odds ratios (i.e., the change in odds of impaired higher-level functional capacity if all versus no participants were exposed to depressive state) by logistic models using generalized linear models with the inverse probability of treatment weighting (IPTW) for propensity score and design-based standard errors. Depressive state was used as the exposure variable and higher-level functional capacity as the outcome variable. The all absolute standardized differences after the IPTW using the propensity scores were < 10% which indicated negligible differences in the mean or prevalence of the covariates between non-depressive state and depressive state. The marginal odds ratios were estimated by the logistic models with IPTW using the propensity scores. The marginal odds ratios were 2.17 (95%CI: 1.13-4.19) for men and 2.57 (95%CI: 1.26-5.26) for women. Prevention of depressive state may contribute to not only depressive state but also higher-level functional capacity.