Predictors of Health Promoting Lifestyle Among Midwives Employed in Hospitals and Health Centres of Qazvin, Iran

Zainab Alimoardi, Narges Shirazi Haji Miriha, L. Astrologo, Nasim Bahrami
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Abstract

AbstractBackground and aims: Midwives experience a high level of stress due to heavy workloads, which hasbeen shown to have adverse effects on well-being. Accordingly, the main goal of this study was toassess the predictors associated with a healthy lifestyle in a sample of midwives working in hospitalsand health centers of Qazvin, Iran.Methods: A total of 200 midwives were recruited using convenience sampling method. Each subjectcompleted a demographic questionnaire, the Farsi version of the Health Promoting Lifestyle ProfileQuestionnaire, and Perceived Social Support Questionnaire. A multivariate linear regression modelwas used to assess the predictors of health promoting lifestyle (HPL).Results: Spiritual growth (2.78 ± 0.53) and nutrition (2.79 ± 0.45) had the highest scores among HPLsubscales. Conversely, subjects had the lowest score in physical activity (2.02 ± 0.64). Multivariateregression analyses showed that workplace (β = -0.19, P = 0.03), involving in professional sports(β = 0.2, P = 0.01), and perception of an adequate social support network (β = 0.47, P < 0.001) were thestrongest predictors of HPL. These predictors accounted for 27% of the variance in the model.Conclusion: Considering the predictive role of three variables including workplace, involving inprofessional sport, and having adequate social support, HPL interventions can be designed andimplemented. Improving working conditions, strengthening social support networks, and increasingphysical activity might be beneficial measures to improve midwives’ HPL.
伊朗Qazvin医院和健康中心助产士促进健康生活方式的预测因素
背景和目的:助产士由于繁重的工作量而承受着高度的压力,这已被证明对健康有不利影响。因此,本研究的主要目的是在伊朗Qazvin的医院和健康中心工作的助产士样本中评估与健康生活方式相关的预测因素。方法:采用方便抽样法共招募了200名助产士。每个受试者都完成了一份人口统计问卷、波斯语版的健康促进生活方式概况问卷和感知社会支持问卷。结果:精神发育(2.78±0.53)和营养(2.79±0.45)在健康促进生活方式(HPL)分量表中得分最高。相反,受试者在体育活动方面的得分最低(2.02±0.64)。多变量逐步分析显示,工作场所(β=0.19,P=0.03)、参与职业运动(β=0.2,P=0.01)和对充分社会支持网络的感知(β=0.47,P<0.001)是HPL的最有力预测因素。这些预测因素占模型方差的27%。结论:考虑到工作场所、参与专业运动和有足够的社会支持三个变量的预测作用,可以设计和实施HPL干预措施。改善工作条件、加强社会支持网络和增加体育活动可能是提高助产士HPL的有益措施。
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