Factors Influencing Health Promoting Behaviours in Women of Reproductive Age in Iran: Based on Pender’s Health Promotion Model
DOI:
https://doi.org/10.3889/oamjms.2019.460Keywords:
Health-promoting behaviours, HPLP II, Pender’s health promotion model, Reproductive ageAbstract
INTRODUCTION: Health promotion behaviours are considered as preventives of non-communicable diseases and key determinants of maintaining and improving the health status.
AIM: This study aimed to investigate and identify effective factors on health-promoting behaviours based on Pender model in women of reproductive age from February to April 2017, in Savojbolagh, Iran.
METHODS: This cross-sectional study is conducted on 240 women aged between 15 to 49 years in Savojbolagh, Iran, in 2017. The questionnaire consisted of several items, including socio-demographic characteristics, health-promoting lifestyle profile-II (HPLP-II), self-efficacy, social support and constructs of Pender’s health promotion model. SPSS-18 software has been applied for statistical analysis.
RESULTS: The mean age of the women was 31.10 ± 7.29 years. Total HPLP-II score was 106.64 ± 11.93. The highest and the lowest mean in the subscales were belonged to nutrition and physical activity, respectively. According to the bivariate analysis, the total HPLP-II score is significantly related to prior health-related behaviour (p = 0.000). There was a statistically significant relationship between stress management and the variables including perceived benefits, perceived barriers, prior health-related behaviour, situational influences, commitment to a plan of action (p < 0.05). Also, health responsibility had a statistically significant relationship with self-efficacy (p < 0.05).
CONCLUSION: According to our results, it can be inferred that there is a problem with the HPBs of women. Considering that health-promoting behaviours like physical activity had a low score, it is a necessity to plan and perform interventions for improving health promotion behaviours.
Downloads
Metrics
Plum Analytics Artifact Widget Block
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2019 Faramarz Shaahmadi, Davoud Shojaeizadeh, Roya Sadeghi, Zohreh Arefi (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
http://creativecommons.org/licenses/by-nc/4.0