FAMILIAL SUPPORT, MENTAL WELL-BEING, AND WORK PRODUCTIVITY: EXPERIENCES OF FEMALE SCHOOL TEACHERS IN PAKISTAN

In this research paper, we explored the multifaceted dynamics surrounding the professional lives of female school teachers in Pakistan. This study aims to shed light on the crucial interplay between familial support systems, the prevalence of mental well-being, and their impact on the overall work productivity of Pakistani working women in school education. A sample of 160 teachers was selected to respond to a newly developed instrument of the resource-process model within the JD-R framework. The instrument was validated in 2 steps: Exploratory Factor Analysis (EFA) in SPSS and Confirmatory Factor Analysis (CFA) in SmartPLS. Structural Equation Model (SEM) analysis results highlighted the positive impact of familial support on mental well-being and workplace productivity. It establishes a direct link between higher family support, improved mental health, and increased work productivity. Based on the Resource-Process Model within the JD-R framework, the findings emphasized the mediating role of mental well-being in this relationship. The study contributes to theory and suggests practical insights for organizations aiming to enhance employee well-being and productivity by comprehensively addressing familial support and mental health initiatives. Further research is recommended to validate these findings across individuals and contexts.

Authors

Publication Details

Journal
South Eastern European Journal of Public Health
Published
2025-04-12
DOI
https://doi.org/10.70135/seejph.vi.6296
Primary Topic
Emotional Intelligence and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

FAMILIAL SUPPORT, MENTAL WELL-BEING, AND WORK PRODUCTIVITY: EXPERIENCES OF FEMALE SCHOOL TEACHERS IN PAKISTAN

Nabeela Sulaiman
South Eastern European Journal of Public Health
Emotional Intelligence and Performance
article

FAMILIAL SUPPORT, MENTAL WELL-BEING, AND WORK PRODUCTIVITY: EXPERIENCES OF FEMALE SCHOOL TEACHERS IN PAKISTAN

Nabeela Sulaiman
article en

Abstract

In this research paper, we explored the multifaceted dynamics surrounding the professional lives of female school teachers in Pakistan. This study aims to shed light on the crucial interplay between familial support systems, the prevalence of mental well-being, and their impact on the overall work productivity of Pakistani working women in school education. A sample of 160 teachers was selected to respond to a newly developed instrument of the resource-process model within the JD-R framework. The instrument was validated in 2 steps: Exploratory Factor Analysis (EFA) in SPSS and Confirmatory Factor Analysis (CFA) in SmartPLS. Structural Equation Model (SEM) analysis results highlighted the positive impact of familial support on mental well-being and workplace productivity. It establishes a direct link between higher family support, improved mental health, and increased work productivity. Based on the Resource-Process Model within the JD-R framework, the findings emphasized the mediating role of mental well-being in this relationship. The study contributes to theory and suggests practical insights for organizations aiming to enhance employee well-being and productivity by comprehensively addressing familial support and mental health initiatives. Further research is recommended to validate these findings across individuals and contexts.

South Eastern European Journal of Public Health
Openalex Percentile: Top 84%
Emotional Intelligence and Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.