Happiness and Life Satisfaction Prospectively Predict Self-Rated Health,Physical Health,and the Presence of Limiting,Long-Term Health Conditions

Abstract

Purpose.

To examine the effect of happiness and life satisfaction on health.

Design.

Longitudinal data from waves 1 and 3, conducted in 2001 and 2004, respectively, of the Household Income and Labour Dynamics in Australia survey.

Setting.

Australia.

Subjects.

A total of 9981 respondents aged 18 years and older.

Measures.

Outcomes were self-reported health; the absence of long-term, limiting health conditions; and physical health. Happiness was assessed with the following question: “During the past 4 weeks, have you been a happy person”? Life satisfaction was determined with the following question: “All things considered, how satisfied are you with your life”?

Analysis.

We used multiple regression analysis to estimate odds ratios (ORs), beta coefficients (β), and 95% confidence intervals (CIs) for the associations between baseline happiness or life satisfaction and health at wave 3.

Results.

Baseline happiness and life satisfaction both were positively associated at wave 3 with excellent, very good, or good health (OR = 1.50, CI = 1.33–1.70, p < .0001; and OR= 1.62, CI = 1.27–2.08, p < .0001, respectively); with the absence of long-term, limiting health conditions (OR = 1.53, CI = 135–1.15, p < .0001; and OR = 1.51, CI = 1.25–1.82, p < .0001, respectively); and with higher physical health levels (β̂ = .99, CI = .60–1.39, p < .0001; and β̂ = .99, CI = .20–1.18, p < .0145, respectively).

Conclusion.

This study showed that happier people and those who were more satisfied with their lives at baseline reported better health (self-rated health; absence of limiting, long-term conditions; and physical health) at the 2-year follow-up when adjusted for baseline health and other relevant covariates.

Keywords

Happiness Life Satisfaction Self-Rated Health Long-Term Health Conditions Physical Health Manuscript format: research Research purpose: modeling/relationship testing Study design: nonexperimental Outcome measure: behavioral morbidity Setting: national Health focus: social health Strategy: skill building/behavior change incentives policy Target population age: adults Target population circumstances: education/income level

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