4.3 Article

Longitudinal associations between emotional well-being and subjective health from middle adulthood to the beginning of late adulthood

Journal

PSYCHOLOGY & HEALTH
Volume -, Issue -, Pages -

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/08870446.2023.2261038

Keywords

Life satisfaction; positive mood; negative mood; self-rated health; psychosomatic symptoms; random intercept cross-lagged panel model

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The study examined the reciprocal associations between emotional well-being and subjective health. The results showed within-person cross-lagged associations between emotional well-being and subjective health indicators. Both emotional well-being and subjective health predicted each other even 6-11 years later.
ObjectiveEmotional well-being may predict future health and vice versa. We examined the reciprocal associations between emotional well-being and subjective health from age 36 to 61.Methods and MeasuresThe data were drawn from the Jyvaskyla Longitudinal Study of Personality and Social Development and included information from 36-, 42-, 50- and 61-year-olds (N = 336). The emotional well-being indicators included life satisfaction and negative and positive mood. The subjective health indicators were self-rated health and psychosomatic symptoms. The analyses were conducted with random intercept cross-lagged panel models.ResultsWithin-person cross-lagged associations were found between emotional well-being and subjective health. Fewer psychosomatic symptoms at ages 36 and 50 predicted higher life satisfaction at ages 42 and 61, respectively. A lower negative mood at age 42 and a higher positive mood at age 50 predicted fewer psychosomatic symptoms at 50 and 61, respectively. Conversely, a higher negative mood at ages 36 and 50 predicted better self-rated health at ages 42 and 61, respectively.ConclusionThe relationship between emotional well-being and subjective health appears to be reciprocal. Both emotional well-being and subjective health predicted each other even 6-11 years later. However, associations may depend on the variables and age periods investigated.

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