scholarly journals Correlation between Physical Activity and "Pender's Health Promotion Model” Factors in Employee of Health Insurance and Insurance Atyeh Sazan Hafez in the Hamadan Province

2017 ◽  
Vol 6 (4) ◽  
pp. 1-7
Author(s):  
Masoud Khodaveisi ◽  
Aliasghar Jafari ◽  
Afsar Omidi ◽  
Ghodratolah Roshanaei
Keyword(s):  
Physical Activity ◽  
Health Promotion ◽  
Health Insurance ◽  
Health Promotion Model ◽  
Pender's Health Promotion Model

scholarly journals Factors Influencing Health Promoting Behaviours in Women of Reproductive Age in Iran: Based on Pender’s Health Promotion Model

2019 ◽  
Vol 7 (14) ◽  
pp. 2360-2364
Author(s):  
Faramarz Shaahmadi ◽  
Davoud Shojaeizadeh ◽  
Roya Sadeghi ◽  
Zohreh Arefi
Keyword(s):  
Physical Activity ◽  
Health Promotion ◽  
Significant Relationship ◽  
Reproductive Age ◽  
Women Of Reproductive Age ◽  
Health Promotion Model ◽  
Health Related ◽  
Health Promoting ◽  
Pender's Health Promotion Model ◽  
Health Related Behaviour

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.

The effect of a Pender’s health promotion model-based educational intervention on physical activity in office staff

2019 ◽  
Vol 16 (1) ◽  
pp. 31-38 ◽  
Author(s):  
Masoud Khodaveisi ◽  
Aliasghar Jafari ◽  
Afsar Omidi ◽  
Ghodratolah Roshanaei ◽  
Akbar Sazvar
Keyword(s):  
Physical Activity ◽  
Health Promotion ◽  
Educational Intervention ◽  
Office Staff ◽  
Health Promotion Model ◽  
Model Based ◽  
Pender's Health Promotion Model

scholarly journals Physical activity determinants among students based on Pender’s health promotion model constructs: a cross-sectional study using path analysis

2020 ◽  
pp. 201010582095844
Author(s):  
Sahar Sabooteh ◽  
Awat Feizi ◽  
Parivash Shekarchizadeh ◽  
Hossein Shahnazi ◽  
Firoozeh Mostafavi
Keyword(s):  
Physical Activity ◽  
Health Promotion ◽  
Path Analysis ◽  
Perceived Barriers ◽  
Equation Modeling ◽  
Moderate Activity ◽  
Cross Sectional ◽  
Health Promotion Model ◽  
Walking Activity ◽  
Pender's Health Promotion Model

Background: Over recent years, new lifestyles have raised ongoing concerns about the quality of life of students, especially inactivity. The purpose of this study was to determine the factors associated with regular physical activity among students using Pender’s health promotion model. Methods: The present cross-sectional correlational study was conducted on 650 students of Isfahan University of Medical Sciences, Iran, who were selected by stratified sampling with probability proportional to size. Data were collected using a three-part questionnaire, including demographic profile, Pender’s health promotion model constructs and the international physical activity questionnaire. The strongest determinants of physical activity were identified using structural equation modeling by Amos software. Data were analysed by SPSS software (16) using chi-square, one-way analysis of variance and Spearman correlation. Results: The results showed walking activity in 69.1%, moderate activity in 3.8% and vigorous activity in 27.1%. According to path analysis, perceived barriers were the most efficient predictor of physical activity among students, and Pender’s health promotion model constructs explained 84.9% of physical activity changes. Conclusion: The satisfactory predictive value of Pender’s health promotion model constructs for physical activity behaviour focused on effective structures, such as perceived barriers, supports the application of this model to design educational interventions better.

scholarly journals The predictors of physical activity among health volunteers based on pender's health promotion model

2018 ◽  
Vol 8 (4) ◽  
pp. 305-312
Author(s):  
Mohammad Rahimian ◽  
Maryam Mohammadi ◽  
Ali Mehry ◽  
Mohammad Hasan Rakhshani ◽  
◽  
...  
Keyword(s):  
Physical Activity ◽  
Health Promotion ◽  
Health Promotion Model ◽  
Pender's Health Promotion Model
Sign in / Sign up

Export Citation Format

Share Document