scispace - formally typeset
Search or ask a question
Author

S. Zaharah

Bio: S. Zaharah is an academic researcher from Universiti Sains Malaysia. The author has contributed to research in topics: Confirmatory factor analysis & Structural equation modeling. The author has co-authored 1 publications.

Papers
More filters
Journal ArticleDOI
TL;DR: In this paper, the Menopausal Spousal Support Questionnaire (MSSQ) was developed and validated using sequential exploratory mixed methods in two phases, in Phase I, the MSSQ was developed based on a literature review, in-depth interviews with 13 menopausal women and discussions within the research team.

3 citations


Cited by
More filters
Journal ArticleDOI
TL;DR: In this paper , the authors investigated the trajectory of subjective health status in married postmenopausal women and aimed to identify predictive factors affecting subjective health, including age, body mass index, frequency of vigorous physical activity, marital satisfaction, and medical service utilization.
Abstract: This study investigated the trajectory of subjective health status in married postmenopausal women and aimed to identify predictive factors affecting subjective health status.Data were obtained from women who participated in wave 4 (2012) of the Korean Longitudinal Survey of Women & Families Longitudinal Study and continued to the latest phase (wave 7, 2018). A latent growth model (LGM) was used to analyze data from 1,719 married postmenopausal women in the framework of the ecological system theory.The mean age of the participants at wave 4 was 56.39±4.71 years, and the average subjective health status was around the midpoint (3.19±0.84). LGM analysis confirmed that subjective health status decreased over time (initial B=3.21, slope B=-0.03). The factors affecting initial subjective health were age, body mass index, frequency of vigorous physical activity (microsystem level), marital satisfaction (mesosystem level), and medical service utilization (macrosystem level). Medical service utilization and the frequency of vigorous physical activity were identified as predictive factors affecting the slope in subjective health status. The model fit was satisfactory (TLI=.92, CFI=.95, and RMSEA=.04).This analysis of the trajectory of subjective health status of married postmenopausal women over time confirmed that subjective health is influenced by overall ecological system factors, including the microsystem, mesosystem, exosystem, macrosystem, and chronosystem. Therefore, it is necessary to assess physical activity and support policies promoting access to medical services in order to improve the subjective health status of married postmenopausal women.

3 citations

Journal ArticleDOI
01 Mar 2023-Heliyon
TL;DR: In this article , a polynomial regression with response surface analysis is used to examine how attitudes toward entrepreneurship and entrepreneurial intention individually and jointly affect start-up behaviors, drawing on the Theory of Planned Behavior.

3 citations

Journal ArticleDOI
TL;DR: In this paper , the authors investigated the trajectory of subjective health status in married postmenopausal women and found that subjective health is influenced by overall ecological system factors, including the microsystem, mesosystem, exosystems, macrosystem, and chronosystem.
Abstract: Purpose This study investigated the trajectory of subjective health status in married postmenopausal women and aimed to identify predictive factors affecting subjective health status. Methods Data were obtained from women who participated in wave 4 (2012) of the Korean Longitudinal Survey of Women & Families Longitudinal Study and continued to the latest phase (wave 7, 2018). A latent growth model (LGM) was used to analyze data from 1,719 married postmenopausal women in the framework of the ecological system theory. Results The mean age of the participants at wave 4 was 56.39±4.71 years, and the average subjective health status was around the midpoint (3.19±0.84). LGM analysis confirmed that subjective health status decreased over time (initial B=3.21, slope B=-0.03). The factors affecting initial subjective health were age, body mass index, frequency of vigorous physical activity (microsystem level), marital satisfaction (mesosystem level), and medical service utilization (macrosystem level). Medical service utilization and the frequency of vigorous physical activity were identified as predictive factors affecting the slope in subjective health status. The model fit was satisfactory (TLI=.92, CFI=.95, and RMSEA=.04). Conclusion This analysis of the trajectory of subjective health status of married postmenopausal women over time confirmed that subjective health is influenced by overall ecological system factors, including the microsystem, mesosystem, exosystem, macrosystem, and chronosystem. Therefore, it is necessary to assess physical activity and support policies promoting access to medical services in order to improve the subjective health status of married postmenopausal women.

2 citations