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10.1186/s40359-025-03707-8

http://scihub22266oqcxt.onion/10.1186/s40359-025-03707-8
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41354849!?!41354849

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suck abstract from ncbi

pmid41354849      BMC+Psychol 2025 ; ? (?): ?
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  • Behavioral and psychological characteristics of adolescents under different Parent-Child relationship patterns: a gender-based perspective #MMPMID41354849
  • Meng W; Shalayiding S; Abudurexiti N; He X; Jiang T
  • BMC Psychol 2025[Dec]; ? (?): ? PMID41354849show ga
  • BACKGROUND: The Parent-Child Relationship plays a crucial role in the development of adolescents' psychological behaviors. Previous studies have confirmed its association with adolescents' cognitive development, academic performance, and emotional regulation, and have identified gender differences in this association. However, current research lacks a systematic integrated analysis of multi-dimensional variables such as physical-psychological-social adaptation. It also fails to identify the heterogeneity of the Parent-Child Relationship from a gender perspective and has not conducted in-depth and systematic discussions on the differential impacts on adolescents of different genders. OBJECTIVE: This study aims to systematically explore the types of Parent-Child Relationship among adolescents of different genders using Latent Profile Analysis (LPA) and regression mixture models, and to conduct an in-depth analysis of the psychological and behavioral characteristics of adolescents corresponding to various types of Parent-Child Relationship. METHODS: A multi-stage stratified cluster sampling method was adopted. In May 2023, a questionnaire survey was conducted among 3,922 students from 10 middle schools in 5 regions of Xinjiang. The measurement tools used included the Parent-Child Relationship Intimacy Scale, the Depression-Anxiety-Stress Scale, the Psychological Resilience Scale, and the School Adjustment Scale. The average age of the study subjects was 16.06 +/- 0.98 years, including 1,884 males (48%) and 2,038 females (52%). RESULTS: Two types of Parent-Child Relationship were identified among adolescents in Xinjiang: the poor group and the good group. Among females, the "poor group" accounted for 38.86% (n = 792), and the "good group" accounted for 61.14% (n = 1,246). Among males, the "poor group" accounted for 43.68% (n = 823), and the "good group" accounted for 56.32% (n = 1,061). There were gender differences in the behavioral and psychological characteristics of adolescents under different Parent-Child Relationship patterns.In the female group, Anxiety, Depression, and Stress of all severity levels were predictive factors for the poor Parent-Child Relationship group (all OR > 1, P < 0.05). In the male group, only moderate Anxiety (OR = 0.463, 95% CI [0.296, 0.724]) and moderate Depression (OR = 0.436, 95% CI [0.292, 0.652]) reached a significant level.In terms of Psychological Resilience, females with poor Psychological Resilience had an approximately 5.87-fold higher probability of being classified into the "poor group" (OR = 6.874, 95% CI [4.500, 10.501]). In contrast, males with poor Psychological Resilience were more likely to be classified into the "good group" (OR = 0.116, 95% CI [0.069, 0.194]).In terms of School Adjustment, females in the "good group" scored higher than those in the "poor group" in School Attitudes and Emotions, Routine Adaptation, Academic Adjustment, Peer Relationship, and Teacher-Student Relationship (all P < 0.001), with chi-square test values ranging from 116.613 to 208.797. In the male group, although the "poor group" also scored significantly lower than the "good group" in the five dimensions (all P < 0.001), with chi-square values ranging from 20.632 to 102.774, the difference between the groups was smaller than that in females. CONCLUSIONS: There is heterogeneity in the Parent-Child Relationship patterns of adolescents. Under different Parent-Child Relationship patterns, there are gender differences in the behavioral and psychological characteristics of adolescents, which are specifically reflected in Anxiety, Depression, Stress, Psychological Resilience, and School Adjustment. However, these characteristics are not related to physical indicators (Sleeping Hours, Myopia) or demographic characteristics (age, Father's Education Level, Mother's Education Level, etc.). This study provides empirical evidence from Xinjiang, China, for the differentiated intervention of adolescents' health status.
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