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Original Study
| Published: January 30, 2023
Adolescent Mental Health in Relation to the Factors of Social Ecosystem
Professor, Department of Psychology, Jagannath University Google Scholar More about the auther
Professor, Department of Psychology, Jagannath University Google Scholar More about the auther
DIP: 18.01.012.20231101
DOI: 10.25215/1101.012
ABSTRACT
The main objective of the present study was to explore the relationship between Adolescent’s mental health with the social ecosystem. The specific objective was to explore whether the subsystems of the social ecosystem, i.e., microsystem, mesosystem, exosystem, macrosystem, and chronosystem have a variation on adolescents’ mental health. The study also explores whether the elements of the microsystem, mesosystem, exosystem, and macrosystem have a variation on adolescents’ mental health. The participants of the present study were the adolescents of Dhaka city in Bangladesh. The sample comprised 400 (four hundred) adolescents; those were obtained from different schools of Dhaka city. A three-stage stratified random sampling technique was followed to collect data. Adapted Bangla version of the Mental Health Inventory-38 (Veit and Ware, 1983) and a developed Bangla version of the Social Ecosystem Scale was used. The mean, standard deviation, correlation, multiple and step-wise regression were computed. The results indicated that adolescent mental health is significantly correlated (r=.603, p<.001) with the social ecosystem. Results of regression analysis indicated that the strongest predictor of mental health was microsystem, which alone explained 31.7% of the variance. R² change indicated that 10.6% of variance by the macrosystem, 2.4% of variance by the exosystem, 3.1% of variance by the mesosystem, and 2.7% of the variance in mental health was accounted by the chronosystem. The results further indicated that these five factors jointly account for 50.6% of the variance in mental health.
Keywords
This is an Open Access Research distributed under the terms of the Creative Commons Attribution License (www.creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any Medium, provided the original work is properly cited.
© 2023, Ahmed, F. & Saha, A. K.
Received: November 11, 2022; Revision Received: January 25, 2023; Accepted: January 30, 2023
Article Overview
ISSN 2348-5396
ISSN 2349-3429
18.01.012.20231101
10.25215/1101.012
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Published in Volume 11, Issue 1, January-March, 2023