Literature DB >> 32255396

Trajectories of Depression between 30s and 50s: Latent Growth Modeling.

Jaewon Lee1.   

Abstract

Objectives: Previous studies have primarily focused on depression among older adults. Given that middle age links young adulthood to older adulthood and encompasses a variety of changes in roles and status, which influence depression, it is important to understand the changes of depression during this period.
Methods: This study used data from the National Longitudinal Survey of Youth 1979. The final sample consisted of 834 individuals, and four points in time were used: 34, 36, 40, and 50 years of age. The Latent Growth Model (LGM) was used to estimate the trajectories of depression.
Results: The trajectories of depression present a non-linear change, referring to V-shaped curve. The conditional model shows that there are significant individual differences on initial status. Males were negatively associated with the latent initial level of depression. Individuals who showed higher self-esteem and cognitive ability were negatively associated with the latent initial level of depression. In addition, health insurance was negatively associated with the latent initial levels of depression. Both employment and net worth predicted lower intercepts of depression. Discussion: As the 40s is a bridge between the lowest levels of depression and a gradual increase of depression, service providers should be aware of changes of depression among middle-aged adults and spend more time and resources to encourage those individuals to prepare for changes in depression. Prevention programs for depression and providing more opportunities for employment and education to save money should be more focused on young adults.

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Mesh:

Year:  2020        PMID: 32255396     DOI: 10.1080/01612840.2019.1688438

Source DB:  PubMed          Journal:  Issues Ment Health Nurs        ISSN: 0161-2840            Impact factor:   1.835


  2 in total

1.  Do Adults Who Practice Aerobic Physical Activities Have Different Influencing Factors for Depression: A Secondary Data Analysis.

Authors:  Sun Ae Kim; Youngshin Song; Myoungjin Kwon
Journal:  Int J Environ Res Public Health       Date:  2022-05-18       Impact factor: 4.614

2.  The Mental Health Burden of the COVID-19 Pandemic on Physical Therapists.

Authors:  Seoyon Yang; Sang Gyu Kwak; Eun Jae Ko; Min Cheol Chang
Journal:  Int J Environ Res Public Health       Date:  2020-05-25       Impact factor: 3.390

  2 in total

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