Summary Background Sustainable Development Goal 3.2 has targeted elimination of preventable child mortality, reduction of neonatal death to less than 12 per 1000 livebirths, and reduction of death of children younger than 5 years to less than 25 per 1000 livebirths, for each country by 2030. To understand current rates, recent trends, and potential trajectories of child mortality for the next decade, we present the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 findings for all-cause mortality and cause-specific mortality in children younger than 5 years of age, with multiple scenarios for child mortality in 2030 that include the consideration of potential effects of COVID-19, and a novel framework for quantifying optimal child survival. Methods We completed all-cause mortality and cause-specific mortality analyses from 204 countries and territories for detailed age groups separately, with aggregated mortality probabilities per 1000 livebirths computed for neonatal mortality rate (NMR) and under-5 mortality rate (U5MR). Scenarios for 2030 represent different potential trajectories, notably including potential effects of the COVID-19 pandemic and the potential impact of improvements preferentially targeting neonatal survival. Optimal child survival metrics were developed by age, sex, and cause of death across all GBD location-years. The first metric is a global optimum and is based on the lowest observed mortality, and the second is a survival potential frontier that is based on stochastic frontier analysis of observed mortality and Healthcare Access and Quality Index. Findings Global U5MR decreased from 71·2 deaths per 1000 livebirths (95% uncertainty interval [UI] 68·3–74·0) in 2000 to 37·1 (33·2–41·7) in 2019 while global NMR correspondingly declined more slowly from 28·0 deaths per 1000 live births (26·8–29·5) in 2000 to 17·9 (16·3–19·8) in 2019. In 2019, 136 (67%) of 204 countries had a U5MR at or below the SDG 3.2 threshold and 133 (65%) had an NMR at or below the SDG 3.2 threshold, and the reference scenario suggests that by 2030, 154 (75%) of all countries could meet the U5MR targets, and 139 (68%) could meet the NMR targets. Deaths of children younger than 5 years totalled 9·65 million (95% UI 9·05–10·30) in 2000 and 5·05 million (4·27–6·02) in 2019, with the neonatal fraction of these deaths increasing from 39% (3·76 million [95% UI 3·53–4·02]) in 2000 to 48% (2·42 million; 2·06–2·86) in 2019. NMR and U5MR were generally higher in males than in females, although there was no statistically significant difference at the global level. Neonatal disorders remained the leading cause of death in children younger than 5 years in 2019, followed by lower respiratory infections, diarrhoeal diseases, congenital birth defects, and malaria. The global optimum analysis suggests NMR could be reduced to as low as 0·80 (95% UI 0·71–0·86) deaths per 1000 livebirths and U5MR to 1·44 (95% UI 1·27–1·58) deaths per 1...

Objectives Health education programs are one of the most important strategies for controlling cutaneous leishmaniasis (CL) in endemic areas such as Neshabur city. This study aimed to develop and evaluate a comprehensive health education program to improve preventive behaviors for CL. Methods This was an interventional study conducted on 136 high school students in Neishabur city. Data collection instruments included a demographic questionnaire and a researcher-made questionnaire based on the “Health Belief Model” and “Beliefs, Attitudes, Subjective Norms and Enabling Factors Model” constructs. The control and intervention groups completed the questionnaires before and 2 months after the intervention. The intervention was conducted in 6, 1-hour educational sessions for the intervention group students and 2, 1-hour sessions for school administrators, teachers, and students’ parents. Results There was no significant difference between the 2 groups in the pre-intervention phase. However, in the post-intervention phase, there were significant differences between the 2 groups for mean scores of knowledge, perceived susceptibility, perceived severity, perceived benefits, cues to action, self-efficacy, attitude, subjective norms, behavioral intention, enabling factors, and behavior associated with CL. Conclusion Health education program based on the “Health Belief Model” and the “Beliefs, Attitudes, Subjective Norms and Enabling Factors Model” model constructs may be a comprehensive and effective educational program to improve preventive behaviors against CL in students.

OBJECTIVESA health-promoting lifestyle (HPL) is a factor that affects the quality of life (QoL) in patients with beta-thalassemia (β-thalassemia). Due to the lack of studies of this issue, this study aimed to determine the association between HPL and QoL among adults with β-thalassemia.METHODSThis cross-sectional (descriptive-analytic) study was conducted among 389 adult patients with β-thalassemia in Tehran, Iran. The research instrument included a questionnaire consisting of three parts: demographic items, the Short-Form Health Survey and the Health-Promoting Lifestyle Profile. The data were analyzed using SPSS version 23.0. The results were considered significant at the conventional p<0.05 level.RESULTSThe mean age of the participants was 30.2±8.3 years. The mean score of the HPL dimensions was 127.28±21.53, and the mean score of the QoL domains was 61.44±23.38. The highest and the lowest mean scores of the HPL dimensions were found for spiritual growth (23.96±5.74) and physical activity (11.32±3.95), respectively. The QoL scores in all three domains (total, physical component summary score, and mental component summary score) were moderate. Health responsibility, physical activity, spiritual growth, and interpersonal relations were significant predictive factors of QoL in adults with β-thalassemia; these four dimensions explained 37.9% of the variance in QoL.CONCLUSIONSQoL and HPL were not at acceptable levels among patients with thalassemia. Therefore, educational interventions emphasizing spiritual growth, physical activity, and interpersonal relations are necessary for patients with thalassemia.

Objectives Identifying the factors associated with HRQoL in adolescents is a prerequisite of interventions aimed at improving the overall quality of life and health status among them. Studies have identified many factors associated with HRQoL in different populations; however, very little is known about the role of resilience on HRQoL in adolescent students. Subjects This cross-sectional study was conducted on 1500 high school students (750 boys and 750 girls) in Tehran. The subjects were selected through the cluster and multistage sampling methods. Methods The data collection tool included three questionnaires; a demographic information questionnaire, the Health-Related Quality of Life Questionnaire (KIDSCREEN-27), and the Children and Youth Resilience Measurement (CYRM-28). Data were analyzed with SPSS 23 software. Regression analysis was performed to determine the association of resilience with HRQoL. Results The mean score of overall health-related quality of life and overall resilience were 57.51 ± 15.03 and 98.35 ± 16.48, respectively. Individual sub-scale (β = 0.402, p < 0.001), caregiver sub-scale (β = 0.279, p < 0.001) and context sub-scale (β = 0.122, p < 0.001) of resilience were, respectively, the positive and significant predictors of HRQoL in students. The resilience sub-scales explained 49% of the total variance of HRQoL, and the individual sub-scale was the strongest predictive factor for HRQoL in students. Conclusion It is recommended to incorporate resilience training programs into the regular school education in order to improve the quality of life and health of students in all high schools and educational centers of the country.

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PRECEDE is an acronym for Predisposing, Reinforcing and Enabling Constructs in Educational Diagnosis and Evaluation. PRECEDE is a useful and cost-benefit model proposed by Lawrence Green that determines various factors, particularly behavioral factors that affect QoL. This model provides a framework for exploring factors influencing behaviors, including predisposing factors, reinforcing factors, and enabling factors [9]. Predisposing factors are defined as factors that exert their effects before a behavior occurs. Indeed, they influence an individual's motivation to undertake that

BACKGROUND: The health-promoting lifestyle by empowering individuals will increase control over their health, improve quality of life, and prevent diseases. The purpose of the present study was to determine the effect of the educational intervention based on the intervention mapping approach on health-promoting lifestyle in Iranian college students. METHODS: This study is a quasi-experimental control study that was conducted in two groups of 65 students of Iran University of Medical Sciences in 2018–2019. The data were collected using the Health-Promoting Lifestyle Standard Profile II questionnaire and a researcher-made questionnaire based on the mapping approach, whose validity and reliability were confirmed. The educational intervention was designed according to the pretest results, including five training sessions and performed for the intervention group. The two groups were evaluated with the same questionnaires 1 month and 3 months later, and the data were analyzed using independent t -test, Spearman, ANCOVA, ANOVA test, and covariance. Results: Before the intervention, no significant difference was observed between the mean scores of health-promoting behaviors in the two groups, but after the intervention, the mean scores of attitude, subjective norms, enabling factors, and perceived self-efficacy and mean scores of health-promoting lifestyle and its dimensions increased significantly in the intervention group ( P < 0.001) compared to the control group. Conclusion: The educational intervention is effective in improving behaviors related to health-promoting lifestyle and its dimensions. Therefore, performing educational interventions are suggested to adopt and adhere to behaviors related to health-promoting lifestyle by utilizing and reinforcing perceived self-efficacy, subjective norms, enabling factors, and attitudinal change.