The predictors of metabolic syndrome based on Walker Health-Promoting lifestyle in Iran 2016

Mohammadi, Maryam; Ramezankhani, Ali; Mohammadi, Shabnam; Zahed, Shakiba; Khabiri, Farahnaz; Khodakarim, Soheila; Roshani, Mohsen; Ghayur, Majid

doi:10.1016/j.dsx.2017.05.009

Cited by 8 publications

(11 citation statements)

References 21 publications

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“…Therefore, these results demonstrate that this model can help us to understand or predict any abnormal, though we suggest more comparative studies are done regarding the normal and abnormal situations. While comparing the present study with the previous studies, we did not find any study directly pertaining to the current work; however, Mohammadi et al (15) examined the importance of different lifestyle aspects and demonstrated that 34% of the variation in lifestyle could be explained by stress management and 24.3% could be explained by social responsibilities. In addition, Kamran et al (24), indicated that the Pender's Health Promotion Model predicted 71.4% of the variations in systolic blood pressure, which is not in agreement with the present study.…”

Section: Discussioncontrasting

confidence: 58%

“…We used a standard and validated questionnaire (health-promoting lifestyle Profile-II) to collect the health behaviors of the participant, which was developed by Walker (15). This scale consists of 52 questions with six subscales including health responsibility, spiritual health, nutrition, physical activity, interpersonal relations, and stress management.…”

Section: Methodsmentioning

confidence: 99%

“…Their study predicted that the health locus of control had a variation of 12% regard to health-promoting behaviours. In addition, the study done on the Iranian women indicated that regarding social support and sociodemographic factors, a 29.8% variance was predicted with respect to healthpromoting behaviours (15). In addition, indicated that the highest and lowest mean scores for HPBs aspects related to social responsibility and nutritional status, respectively, and stress management and social responsibility indicated the most and least direct impact on lifestyle, respectively, in that case, physical activity with a total effect of 0.62 predicted the Walker lifestyle pattern (15).…”

Section: Introductionmentioning

confidence: 99%

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Health Promoting Behaviors (HPBs) and the Metabolic Indicators of Red Crescent Society Employees in Iran

Rakhshani

Asadi

Akbarzadeh

2020

Iran Red Crescent Med J

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Background: Disease patterns have changed from communicable to non-communicable diseases, which are the leading causes of mortality around the globe. Health-promoting behaviors (HPBs) could be effective in the prevention of disease and the development of metabolic syndrome. Objectives: The objectives of the current study are (1) determination of the level of the HPBs and; (2) understand the predictive role of the HPBs of the metabolic indicators in the employees of the Red Crescent Society (RCS) based in Shiraz in Iran. Methods: This is a descriptive and analytical study, in which all 402 employees of the RCS participated. This study used a Census method and was done in 2018. The validation of this HPBs model was confirmed by confirmatory factor analysis (CFA) model. Relationships between the HPBs dimensions and metabolic indicators were obtained with Pearson correlation. Data analyzed with the SPSS and Amos software. Results: We found that the goodness of fit of the HPBs model was acceptable, which is indicated by the value of equal to 1.22 and the RMSEA value equal to 0.025. In addition, the standard estimated effect of physical activity on the levels of triglyceride, cholesterol, body mass index, and hypertension was significant (P < 0.01). Regarding the aspects of the HPBs, the health responsibility had a higher mean score (24.92 ± 5.23), than the other parameters. In this study, physical activity had the strongest role in the HPBs model. Conclusions: We can suggest interventions regarding lifestyle, especially physical activity to improve the employees' health.

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Section: Discussioncontrasting

confidence: 58%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Health Promoting Behaviors (HPBs) and the Metabolic Indicators of Red Crescent Society Employees in Iran

Rakhshani

Asadi

Akbarzadeh

2020

Iran Red Crescent Med J

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“…22) This finding was consistent with previous study. 8) Health-promoting behavior is one of the most important factors in caring for one's health. This direct relationship between health-promoting behaviors and physical activity levels shows us that increased health-promoting behaviors would improve university students' attitudes to health care and their physical activity.…”

Section: Discussionmentioning

confidence: 99%

“…8) If health-promoting behaviors are integrated into the lifestyle, it will bring better health, functional abilities, and overall quality of life. The college years are an important time of transition from adolescence to adulthood.…”

Section: -7)mentioning

confidence: 99%

Relationships among Physical Activity Level, Health-promoting Behavior, and Physiological Variables in Korean University Students

et al. 2018

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Purpose: Many Korean college students suffer from physical inactivity and mental health problems. However, it has not been sufficiently reported how this lack of exercise and health-related behavior affect their health. The present study was performed to identify the relationships among physical activity level, health-promoting behavior, and physiological variables in Korean undergraduate and graduate students. Methods: Participants were 115 undergraduate and graduate students from one university in Seoul. The Pearson's correlation analysis was performed using SPSS for Windows. Results: Physical activity level had significant positive correlations with health-promoting behavior (r=.32, p=.001) and exercise self-efficacy (r=.25, p=.008), and health-promoting behavior had a significant correlation with depression (r=-.33, p<.001) and exercise self-efficacy (r=.44, p<.001). Additionally, physical activity level had significant correlations with triglyceride (r=-.20, p=.034) and vitamin D (r=.20, p=.029) levels. The high density cholesterol level had significant negative correlations with systolic blood pressure (r=-.33, p<.001), diastolic blood pressure (r=-.29, p=.002), and vitamin D (r=-.20, p=.035) levels. Conclusion: Physical activity level or health-promoting behavior had significant relationships with the health status of college students. Strategies need to be developed to improve health-promoting behaviors among college students.

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Comparison of Seven Healthy Lifestyle Scores Cardiometabolic Health: Age, Sex, and Lifestyle Interactions in the NutrIMDEA Web-Based Study

Ribot-Rodríguez,

Higuera-Gómez,

San-Cristobal

et al. 2023

J Epidemiol Glob Health

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Background Global health status concerns both the assessment of wellbeing as well as the associated individualized determinants including quality of life and lifestyle factors. This study aimed to evaluate seven cardiometabolic health related scores and the influence, as well as interactions of lifestyle, heart-related and health-related quality of life (HRQoL) factors in order to inform the future implementation of precision public health (PPH). Methods Data collected from 17,333 participants who were enrolled of the NutrIMDEA study. The data collection period was between May 2020 and November 2020 through an online survey. The baseline questionnaire collected information on socio-demographic data, cardiometabolic history, anthropometric variables and lifestyle aspects. Also, physical and mental component scores of SF12 Health Survey (PCS12/MCS12) were assessed as HRQoL features, which were applied to estimated seven scores (LS7, HLS, 20-years DRS %, FBS, CLI, WAI derived, LWB-I). Results Most indices (except FBS, CLI, 20-years DRS % and WAI derived) showed that cardiometabolic outcomes and HRQoL measures were dependent on interactions by age and sex. The largest ponderal effect was found in PA total and Mediterranean Diet Score (MEDAS-14) interaction using LS7 as reference. However, using LWB-I as standard, the greatest effect was found in the quality-of-life feature MCS12. Noteworthy, LS7 showed good discrimination against PCS12, while LWB-I demonstrated excellent discrimination to MCS12. Conclusions A major finding was the interplay between MEDAS-14 and PA on the LS7 scale as well as major effects of lifestyle factors and MCS12/PCS12 among scores, which need to be accounted with precision when implementing cardiometabolic screenings with PPH purposes.

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The predictors of metabolic syndrome based on Walker Health-Promoting lifestyle in Iran 2016

Cited by 8 publications

References 21 publications

Health Promoting Behaviors (HPBs) and the Metabolic Indicators of Red Crescent Society Employees in Iran

Health Promoting Behaviors (HPBs) and the Metabolic Indicators of Red Crescent Society Employees in Iran

Relationships among Physical Activity Level, Health-promoting Behavior, and Physiological Variables in Korean University Students

Comparison of Seven Healthy Lifestyle Scores Cardiometabolic Health: Age, Sex, and Lifestyle Interactions in the NutrIMDEA Web-Based Study

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