Reciprocal relationships between depressive symptoms and academic amotivation in college students DOI

Gaoyuan Cui,

Bo Shen, Jin Bo

et al.

Educational Psychology, Journal Year: 2024, Volume and Issue: 44(3), P. 324 - 339

Published: March 15, 2024

College students face much instability and challenge across multiple spheres of functioning. The transition from late youth into early adulthood with new social, scholastic, living environments presents heightened risks for destabilising academic motivation mental health. Using the taxonomy multidimensional amotivation, this study examines reciprocal within-person relationships between amotivation depressive symptoms over time among early-staged college students. 488 first- second-year undergraduates reported their at three intervals within a semester. Random-intercepts cross-lagged panel models were applied to evaluate temporal priority in interrelations. Results revealed that paths consistent stable, but cross-lags varied dimensional characteristics. While due low ability effort demonstrated strong relationships, ones value unappealing tasks did not. Findings confirm there is complex dynamic web interrelationships symptoms. students' motivational deficits learning may not only be causes also consequences

Language: Английский

Urban-Rural Differences in the Association Between Internet Use Trajectories and Depressive Symptoms in Chinese Adolescents: Longitudinal Observational Study DOI Creative Commons
Yujie Liu, Xin Ge, Ying Wang

et al.

Journal of Medical Internet Research, Journal Year: 2025, Volume and Issue: 27, P. e63799 - e63799

Published: Feb. 7, 2025

Background Internet use exhibits diverse trajectories during adolescence, which may contribute to depressive symptoms. Currently, it remains unclear whether the association between internet and symptoms varies urban rural areas. Objective This study aimed investigate adolescent explore variation in this Methods longitudinal used 3-wave data from 2014-2018 China Family Panel Study. Weekly hours of were measured using self-reported questionnaires. Latent class growth modeling was performed identify use. Multivariable logistic regressions examine symptoms, stratified by residence. Results Participants 2237 adolescents aged 10 15 years at baseline (mean age 12.46, SD 1.73 years). Two latent trajectory classes identified: low-growth group (n=2008, 89.8%) high-growth (n=229, 10.2%). The associated with higher odds (OR 1.486, 95% CI 1.065-2.076) compared group. In analysis, significant solely among 1.856, 1.164-2.959). Conclusions elucidates urban-rural differences associations Our findings underscore importance prioritizing interventions for adolescents’ behaviors mitigate negative effects on their mental health.

Language: Английский

Citations

1

Longitudinal associations between authentic inner compass and depressive symptoms among college students: A latent curve model with structured residuals DOI
Xiuteng Zhou, Yonghe Ti, Jun Wei

et al.

Personality and Individual Differences, Journal Year: 2025, Volume and Issue: 239, P. 113118 - 113118

Published: Feb. 26, 2025

Language: Английский

Citations

1

The role of hope in college transition: Its cross‐lagged relationships with psychosocial resources and emotional well‐being in first‐year college students DOI Creative Commons
Wai‐lap Lance Wong, Sing‐Hang Cheung

Journal of Adolescence, Journal Year: 2024, Volume and Issue: 96(4), P. 771 - 788

Published: Jan. 29, 2024

Abstract Introduction College transition is often regarded as the most stressful phase of life by college students. Hence, it necessary to find ways help them adjust more smoothly this transition. Hope, conceptualized C. R. Snyder, has been widely studied a predictor optimal functioning and shown be associated with better adjustment among This study aimed shed light on role hope in examining its unique reciprocal relationships an array important psychosocial resources emotional well‐being first‐year Methods Data were collected from sample Hong Kong freshmen ( N = 433, Median age 18 years old, 63.7% female) at two time points. At each point, participants completed self‐reported measures tapping into their levels hope, resources, well‐being. Psychological included general academic self‐efficacy, meaning life, optimism. Social secure attachment, perceived school environment, social support. Emotional was operationalized positive negative emotions. Cross‐lagged panel models constructed tested path analyses. Results When autoregression effects other variables controlled, greater sense uniquely predicted higher presence meanings, fewer On hand, (both search) support hope. Academic meanings reciprocally one another, whereas significant cross‐lagged unidirectional. Conclusions The findings suggest interventions that promote can useful helping new environment enhancing Such would effective if they elements boost support, which are expected further enhance perceptions

Language: Английский

Citations

4

Reciprocal relationships between depressive symptoms and academic amotivation in college students DOI

Gaoyuan Cui,

Bo Shen, Jin Bo

et al.

Educational Psychology, Journal Year: 2024, Volume and Issue: 44(3), P. 324 - 339

Published: March 15, 2024

College students face much instability and challenge across multiple spheres of functioning. The transition from late youth into early adulthood with new social, scholastic, living environments presents heightened risks for destabilising academic motivation mental health. Using the taxonomy multidimensional amotivation, this study examines reciprocal within-person relationships between amotivation depressive symptoms over time among early-staged college students. 488 first- second-year undergraduates reported their at three intervals within a semester. Random-intercepts cross-lagged panel models were applied to evaluate temporal priority in interrelations. Results revealed that paths consistent stable, but cross-lags varied dimensional characteristics. While due low ability effort demonstrated strong relationships, ones value unappealing tasks did not. Findings confirm there is complex dynamic web interrelationships symptoms. students' motivational deficits learning may not only be causes also consequences

Language: Английский

Citations

2