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

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

doi:10.1016/j.dsx.2017.05.009

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

Diabetes Metab Syndr. 2017 Dec:11 Suppl 2:S745-S749. doi: 10.1016/j.dsx.2017.05.009. Epub 2017 May 17.

Authors

Maryam Mohammadi¹, Ali Ramezankhani², Shabnam Mohammadi³, Shakiba Zahed⁴, Farahnaz Khabiri⁵, Soheila Khodakarim⁶, Mohsen Roshani⁷, Majid Ghayur⁸

Affiliations

¹ Department of Public Health, Shahidbeheshti University of Medical Sciences, Tehran, Iran. Electronic address: mohammadim@sbmu.ac.ir.
² Department of Public Health, Shahidbeheshti University of Medical Sciences, Tehran, Iran.
³ Neurogenic Inflammation Research Center, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
⁴ Isfahan University of Medical Sciences, Isfahan, Iran.
⁵ Shahidsadughi University of Medical Sciences, Yazd, Iran.
⁶ Shahidbeheshti University of Medical Sciences, Tehran, Iran.
⁷ Department of Public Health, Faculty of Health, Shahidbeheshti University of Medical Sciences, Tehran, Iran.
⁸ Mashhad University of Medical Sciences, Mashhad, Iran.

PMID: 28647303
DOI: 10.1016/j.dsx.2017.05.009

Abstract

Background: Understanding the metabolic syndrome has been the center of attention in recent years as a major risk factor of many diseases. Given the rising incidence of this disease and as the patient can compete against this disease with choosing healthy lifestyle, in the present study, we investigated the predictors of metabolic syndrome, based on Walker's health-promoting lifestyle in two large cities in Iran, in 2016.

Methods: This cross-sectional study used two-stage cluster sampling to select 1128 patients, among patients who referred to health centers in Isfahan and Yazd. Data were gathered by Walker lifestyle questionnaire that evaluates health-promoting behavior (nutrition, physical activity, health responsibility, spiritual growth, interpersonal relations, and stress management) by self-report that were completed by interviews for illiterate and semi-literate individuals. Data analysis was performed by SPSS statistical software.

Results: In this study, 576 women and 454 men participated with mean age of 56.19±12.11years and mean weight of 73.90±14.45kg.

Results: showed that the highest mean score for different health-promoting behaviors was related to social responsibility (25.53±5.65) and the lowest was related to nutritional status (15.18±5.79). Regarding the strongest predictor of lifestyle, the results of regression analysis showed that the most direct impact was related to stress management (R²=0.343) and the least direct impact was related to social responsibility (R²=0.243). Among the structures, physical activity with overall effect of R²=0.621 was the strongest predictor of lifestyle based on Walker's pattern.

Conclusion: Considering the results of this study, the greater emphasis in planning and interventions to reduce the risk of metabolic syndrome should be spotted on physical activity and stress management in patients with the metabolic syndrome.

Keywords: Health-promoting lifestyle; Metabolic syndrome; Walker pattern.

Publication types

Review

MeSH terms

Health Behavior*
Health Promotion*
Healthy Lifestyle*
Humans
Iran
Metabolic Syndrome / diagnosis*
Time Factors