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ORIGINAL ARTICLE
Year : 2015  |  Volume : 59  |  Issue : 2  |  Page : 102-108

Sodium intake prediction with health promotion model constructs in rural hypertensive patients


1 Assistant Professor, Department of Public Health, School of Health, Ardabil University of Medical Sciences, Ardabil, Iran
2 Professor, Department of Public Health and Health Education and Promotion, School of Health, Qom University of Medical Sciences, Qom, Iran
3 Assistant professor, Department of Surgery, Ardabil University of Medical Sciences, Ardabil, Iran
4 Professor, Food Security Researches Center, Isfahan University of Medical Sciences, Isfahan, Iran

Correspondence Address:
Gholamreza Sharifirad
Department of Public Health, School of Health, Qom University of Medical Sciences, Qom
Iran
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Source of Support: Ardabil University of Medical Science., Conflict of Interest: None


DOI: 10.4103/0019-557X.157517

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Background: Hypertension is the most common cause of cardiovascular disease, and the growing epidemic is a serious warning to pay more attention to this disease. The aims of this study were to examine the relationships between the health promotion model (HPM) constructs and sodium intake, and to determine the predictive power of the HPM constructs as the possible mediators of sodium intake in rural Iranian hypertensive patients. Materials and Methods: This cross-sectional study was conducted on 671 hypertensive patients in Ardabil, Iran in 2013. The data were obtained during a 25-40 min face-to-face conversation by validated and reliable instruments. The nutritional data were assessed with Nutritionist version 4 (N4) software. Descriptive statistics, Spearman's correlations were calculated using SPSS Statistics version 18.0. Structural equation modeling was conducted using AMOS version 18. Results: Sodium intake was negatively correlated with perceived benefits (r = -0.707; P < 0.01), perceived self-efficacy (r = -0.719; P < 0.01), situational influences (r = -0.590; P < 0.01), interpersonal influences (r = -0.637; P < 0.01), commitment to action (r = -0.605; P < 0.01), affects related behavior (r = -0.499; P < 0.01), and positively associated with the perceived barriers score (r = 0.563; P < 0.01). The structural equation modeling showed that the model explained 63.0% of the variation in sodium intake. Conclusions: HPM constructs were significantly associated with sodium intake and dietary perceptions based on HPM constructs can predict acceptable rate of the variation of sodium intake. Therefore, we suggest using this model constructs to improve the effectiveness of nutritional interventions.


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