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- W3014104920 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." @default.
- W3014104920 created "2020-04-10" @default.
- W3014104920 creator A5007533948 @default.
- W3014104920 date "2020-04-07" @default.
- W3014104920 modified "2023-09-24" @default.
- W3014104920 title "Trajectories of Depression between 30s and 50s: Latent Growth Modeling" @default.
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- W3014104920 cites W1587682423 @default.
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- W3014104920 cites W1913957972 @default.
- W3014104920 cites W1966608056 @default.
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- W3014104920 cites W1973272391 @default.
- W3014104920 cites W1978505030 @default.
- W3014104920 cites W1978530618 @default.
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- W3014104920 cites W2016932195 @default.
- W3014104920 cites W2032423030 @default.
- W3014104920 cites W2036996927 @default.
- W3014104920 cites W2038318317 @default.
- W3014104920 cites W2040350370 @default.
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- W3014104920 doi "https://doi.org/10.1080/01612840.2019.1688438" @default.
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- W3014104920 hasPublicationYear "2020" @default.
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