Literature DB >> 30565495

Similarities and differences in predictors of life satisfaction across age groups: A 150-country study.

Mohsen Joshanloo1, Veljko Jovanović2.   

Abstract

This study used multi-level modeling in a sample of 952,739 adults across 150 countries to investigate age differences in demographic, psychological, and social predictors of life satisfaction. Based on percentiles of age distribution, the sample was categorized into five age groups (15-24, 25-33, 34-43, 44-57, and ⩾58). The predictors were generally more effective in predicting life satisfaction in older groups (i.e. age ⩾34 years) than in younger groups (i.e. age ⩽33 years). Although the determinants of life satisfaction were generally consistent across the lifespan, the study unraveled differences in the predictive power of some of the predictors across the age groups.

Keywords:  Gallup; age; life satisfaction; lifespan; multi-level modeling; well-being

Year:  2018        PMID: 30565495     DOI: 10.1177/1359105318819054

Source DB:  PubMed          Journal:  J Health Psychol        ISSN: 1359-1053


  5 in total

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Journal:  Front Psychol       Date:  2022-02-28

2.  Comparative Study on Residents' Health-Promoting Lifestyle and Life Satisfaction in Wuhan Before and After the COVID-19 Pandemic.

Authors:  Da Ke; Wei Chen
Journal:  Front Public Health       Date:  2022-02-23

3.  The relationship between fatalistic beliefs and well-being depends on personal and national religiosity: A study in 34 countries.

Authors:  Mohsen Joshanloo
Journal:  Heliyon       Date:  2022-06-28

4.  Measurement Invariance and Construct Validity of the Satisfaction With Life Scale (SWLS) in Community Volunteers in Vietnam.

Authors:  Willem A Arrindell; Irene Checa; Begoña Espejo; I-Hua Chen; Danilo Carrozzino; Phuong Vu-Bich; Huong Dambach; Paula Vagos
Journal:  Int J Environ Res Public Health       Date:  2022-03-15       Impact factor: 3.390

5.  Gendered racial differences and similarities in subjective cognitive decline and life satisfaction: results from a population-based sample.

Authors:  Monique J Brown; Robert Patterson
Journal:  Aging Ment Health       Date:  2020-04-27       Impact factor: 3.514

  5 in total

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