Literature DB >> 23077285

On the reciprocal association between loneliness and subjective well-being.

Tyler J VanderWeele1, Louise C Hawkley, John T Cacioppo.   

Abstract

Loneliness has been shown to longitudinally predict subjective well-being. The authors used data from a longitudinal population-based study (2002-2006) of non-Hispanic white, African-American, and nonblack Latino-American persons born between 1935 and 1952 and living in Cook County, Illinois. They applied marginal structural models for time-varying exposures to examine the magnitude and persistence of the effects of loneliness on subjective well-being and of subjective well-being on loneliness. Their results indicate that, if interventions on loneliness were made 1 and 2 years prior to assessing final subjective well-being, then only the intervention 1 year prior would have an effect (standardized effect = -0.29). In contrast, increases in subjective well-being 1 year prior (standardized effect = -0.26) and 2 years prior (standardized effect = -0.13) to assessing final loneliness would both have an effect on an individual's final loneliness. These effects persist even after control is made for depressive symptoms, social support, and psychiatric conditions and medications as time-varying confounders. Results from this study indicate an asymmetrical and persistent feedback of fairly substantial magnitude between loneliness and subjective well-being. Mechanisms responsible for the asymmetry are discussed. Developing interventions for loneliness and subjective well-being could have substantial psychological and health benefits.

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Year:  2012        PMID: 23077285      PMCID: PMC3571255          DOI: 10.1093/aje/kws173

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  38 in total

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Authors:  John T Cacioppo; Mary Elizabeth Hughes; Linda J Waite; Louise C Hawkley; Ronald A Thisted
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  30 in total

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8.  Family support and loneliness among older persons in multiethnic Malaysia.

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9.  Mapping the multicausality of Alzheimer's disease through group model building.

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