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Background: Considering that women are the main components of family health and the main models for education and promotion of healthy lifestyles to the next generation, the study of lifestyle and effective factors in promoting women’s health, especially at reproductive age, is of great importance. Objectives: The present study aimed to determine the predictors of a health-promoting lifestyle in women of reproductive age in Zahedan based on Pender’s health promotion model (HPM). Methods: This descriptive cross-sectional study was conducted on a sample of 200 women aged 15 - 49 in Zahedan, Southeastern Iran, using multi-stage cluster sampling in 2019. The instruments used to collect the data were the demographic information form, the Perceived Self-Efficacy scale, the Perceived Social Support scale, the Perceived Emotions scale, the Perceived Barriers scale, and the health-promoting lifestyle profile II. The collected data were analyzed by descriptive statistics, Pearson correlation coefficient, independent samples t-test, one-way analysis of variance (ANOVA), and multiple linear regression analysis using the enter method in SPSS software (version 25). Results: The mean score of health-promoting lifestyle was 69.82 ± 13.59 out of the score range of 32 to 128. The highest and lowest mean scores were related to the nutrition subscale (20.08 ± 4.3) and the exercise subscale (14.19 ± 4.51), respectively. It was shown that the health-promoting lifestyle had a significant positive correlation with perceived self-efficacy, perceived social support, and perceived emotions (P = 0.001) and a significant negative correlation with perceived barriers (P = 0.005). The results of multiple linear regression analysis showed perceived self-efficacy (P = 0.001), perceived social support, and perceived emotions were predictors of a health-promoting lifestyle in women of reproductive age (P = 0.05, P = 0.001), and these three variables together predicted 37% of the variations in the health-promoting lifestyle score. Conclusions: This study showed that women with 54.68% of the total lifestyle score did not have an acceptable lifestyle. Besides, perceived self-efficacy was the most important factor and the strongest predictor of women’s health-promoting lifestyle. Accordingly, some interventions must be planned and implemented to improve the health-promoting lifestyle in women of reproductive age and increase their self-efficacy.

Background. Under count is a common phenomenon in health systems. One of the methods used for sensitivity identification of care system or identification of cases in registry is capture recapture method. Using two resources, this study aimed to estimate the actual mortality rates of under five-year-old children. Methods. This study was conducted by capture-recapture method (two resources), using the recorded data in death cause systems of the Iranian Ministry of Health and Medical Education (MOHME) and Treatment and Registry Office. The population included all children aged five years in Tabriz, Iran. We also considered all the death cases in the target population from 2020.03.20 to 2021.03.20. The death cases were extracted from two resources and entered into the Microsoft Excel software. After removing duplicate cases with a special formula, we obtained the actual mortality rates using capture-recapture method with 95% confidence interval (CI) and estimated the actual mortality rates and death cases. Results. In 2020, the death rate of under five-year-old children was calculated to be 344 cases (338 to 350 with 95% CI). The sensitivity rate of causal registry system for all death cases in the target population was 43.17%. Also, the mortality rate of under one-year-old children was calculated as 275 cases (271 to 280 with 95% CI). While the sensitivity rate of causal death for the mortality of under one-year-old children was 92.72%, it was 82.28% for the Registry Office. Conclusion. A combination of different software for death information registry and the registration of information in the occurrence location could be efficient techniques to reduce under count registrations. It is believed that better and more reliable information could be obtained on death case numbers through using two lists and capture-recapture method compared to using one of the two resources.

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