Dataset Information

A Prospective Study on Resilience Among Children with Different Migrant and Left-behind Trajectories.

ABSTRACT: Parental migration has been an important predictor of children's psychological resilience. The present study discusses the effect of parental migration on children's resilience in rural western China from a dynamic viewpoint. Using sequence analysis, this study investigates children's entire migration trajectory over the course of childhood (ages 1-12) and identifies the typical patterns of the dynamic family structure associated with parental migration: continuously nonmigrant (N = 4,238), continuously migrant (N = 923), continuously left behind by one parent (N = 872), continuously left behind by both parents (N = 796) and frequent transition between migrant or left-behind statuses (N = 1,624). The results show that the trajectories of left-behind status and transition have a significant negative impact on children's resilience, which demonstrates that both the effects of parent-child separation and family instability compromise children's psychological functioning. Family resources can buffer these negative effects, but they work asymmetrically across different groups of children. Family economic resources serve as a significant protective factor among children continuously left behind by both parents, while family social resources are more protective for children in unstable families.

Supplementary information

The online version contains supplementary material available at 10.1007/s12187-022-09945-1.

SUBMITTER: He X

PROVIDER: S-EPMC9185725 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature

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A Prospective Study on Resilience Among Children with Different Migrant and Left-behind Trajectories.

He Xiaochen X Zhang Ruochen R Zhu Bin B

Child indicators research 20220610 6

Parental migration has been an important predictor of children's psychological resilience. The present study discusses the effect of parental migration on children's resilience in rural western China from a dynamic viewpoint. Using sequence analysis, this study investigates children's entire migration trajectory over the course of childhood (ages 1-12) and identifies the typical patterns of the dynamic family structure associated with parental migration: continuously nonmigrant (N = 4,238), cont ...[more]

PMID: 35702331

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Project description:BackgroundInfluence of migration on externalized behavioral problems (e.g., aggressive) among adolescents has been well assessed, yet lifestyle behaviors of migrant, left-behind and local adolescents have been largely overlooked by researchers and policy-makers. Therefore, this study aimed to identify clustering of multiple lifestyle behaviors and their associations with migrant status among Chinese adolescents.MethodsA cross-sectional survey was conducted in 2015 in Beijing, and Wuhu city (Anhui province). Adolescents self-reported age, gender, family economic status, migrant situation, and lifestyle behaviors (i.e., physical activity, screen time, sleep, smoke, soft-drink, alcohol, fruit and vegetable consumption) via a battery of validated questionnaires. Latent class analysis was conducted to identify behavioral clusters using Mplus 7.1. ANOVA, and multivariable logistic regression were used to examine associations between migrant situations and behavioral clusters using SPSS 22.ResultsThree distinct behavioral clusters were exhibited among 1364 students (mean age: 13.41 ± 0.84 years): "low risk" (N = 847), "moderate risk" (N = 412) and "high risk" (N = 105). The "high-risk" cluster had the highest prevalence of adolescents not meeting healthy behavioral recommendations. There were no significant differences in the prevalence of high-risk lifestyle among migrant, left-behind, rural local and urban local adolescents. But migrant adolescents had the lowest prevalence of low-risk lifestyle, followed by left-behind, rural and urban local adolescents. Moreover, compared with urban local, migrant (OR = 2.72, 95%CI: 1.88,3.94), left-behind (OR = 2.28, 95%CI: 1.46, 3.55), and rural local (OR = 1.76, 95%CI:1.03,3.01) adolescents had a higher risk of moderate-risk lifestyle.ConclusionsClustering of assessed lifestyle behaviors differed by the migrant status. Particularly, migrant and left-behind adolescents were more likely to have moderate-risk lifestyle compared with their counterparts. Interventions that promote moderate to vigorous physical activity and consumption of fruits and vegetables simultaneously are needed among them.

Project description:BackgroundSocial support is frequently reported to be correlated with loneliness, self-esteem, and resilience among left-behind children in mainland China. However, to date, there is no consensus on the extent to which those factors are correlated with social support among left-behind children. We thus performed a meta-analysis to quantitatively synthesize the previous findings.MethodsTwo investigators systematically and independently searched PubMed, EMBASE, Web of Science, PsycINFO, Wan Fang, Chinese National Knowledge Infrastructure (CNKI) and China Science Technology Journal Database (VIP) on January 9, 2022. Pooled Pearson's correlation coefficients between social support and loneliness, self-esteem, and resilience were calculated by Stata 16.0 software using random effects model.ResultsForty-seven studies involving a total of 30 212 left-behind children were identified. A large degree of negative correlation was found between social support and loneliness [summary r: -0.36 (95% CI: -0.42- -0.30), p < 0.001]. Large positive correlations were found between social support and self-esteem, and resilience [self-esteem: summary r: 0.33 (95% CI: 0.24-0.41), p < 0.001; resilience: summary r: 0.45 (95% CI: 0.38-0.50), p < 0.001]. The pooled correlations revealed some discrepancies when stratified by some moderators. Sensitivity analysis also revealed the robustness of the findings. The Egger regression and Duvall and Tweedle trim-and-fill procedure suggest the absence of publication bias.ConclusionThe current meta-analysis provided solid evidence that social support has a high degree of negative correlation with loneliness and a high degree of positive correlation with self-esteem and resilience among left-behind children in mainland China. This indicated that left-behind children with high levels of social support tend to have lower levels of loneliness and higher levels of self-esteem and resilience. More studies, especially large prospective studies, are warranted to verify our findings.

Dataset Information

A Prospective Study on Resilience Among Children with Different Migrant and Left-behind Trajectories.

Supplementary information

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A Prospective Study on Resilience Among Children with Different Migrant and Left-behind Trajectories.

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