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Qual Life Res ; 25(4): 1007-15, 2016 Apr.
Article in English | MEDLINE | ID: mdl-26475139

ABSTRACT

OBJECTIVE: To test the hypothesis that higher levels of resilience indicators are associated with lower overall healthcare utilization (HCU) as well as improvements in self-rated health (SRH), we analyzed a representative sample of 4562 adults 50-70 years old enrolled in the US 2010 health and retirement survey. METHODS: Multivariable logistic regression models estimated odds ratios (ORs) and 95 % confidence intervals (CIs) for high versus low resilience in relation to HCU and SRH improvements over 2 years. Resilience indicators included: cumulative lifetime adversity, social support, global mastery and domain-specific mastery. Cumulative lifetime adversity was defined as 0, 1-2, 3-4 or 5+ events. HCU included hospitalization (any vs. none) and physician visits (< 20 vs. ≥ 20) over 2 years. FINDINGS: Hospitalization odds declined by 25 % (OR 0.75, 95 %CI 0.64-0.86), odds of ≥ 20 physician visits declined by 47 % (OR 0.53, 95 % CI 0.45-0.63) and the odds of SRH improvement increased by 49 % (OR 1.49, 95 % CI 1.17-1.88) for respondents with high versus low health mastery. Cumulative lifetime adversity manifested a dose-dependent positive relationship with HCU. Specifically, hospitalization odds was, respectively, 25, 80 and 142 % elevated for participants that reported 1-2, 3-4 and 5+ versus 0 lifetime adversities. High versus low global, financial and health mastery, respectively, predicted improved SRH, lower physician's visits and hospitalizations. CONCLUSION: In this sample of adults near or in retirement, resilience predicted lower HCU and improved SRH. Resilience is a dynamic state that can be enhanced in adults with positive impacts on subjective well-being and HCU.


Subject(s)
Delivery of Health Care/statistics & numerical data , Hospitalization/statistics & numerical data , Patient Acceptance of Health Care/statistics & numerical data , Quality of Life/psychology , Resilience, Psychological , Retirement/psychology , Aged , Female , Health Services/economics , Humans , Male , Middle Aged , Social Support , Surveys and Questionnaires , Treatment Outcome
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