The present study investigated the effect of human development index (HDI) on diarrheal deaths per 1000 live births in children under 5 years old in 2015. In addition, the association between HDI, and the use of improved drinking-water sources and sanitation facilities were evaluated in this year. 75 countries that their information was available in Global Analysis and Assessment of Sanitation and Drinking-Water (GLAAS) conducted by the World Health Organization (WHO) were included in this study. The data required was obtained from WHO and United Nations Development Programme (UNDP) websites. Pearson's correlation coefficient and linear regression were used to evaluate the correlation and association between the variables, respectively. The results showed that there is a significant relationship between HDI and diarrhea-associated deaths per 1000 live births in children during 2015 (B = -354.85, CI95%: -408.91, -300.79). In addition, HDI was associated with the use of improved drinking-water sources (B = 83.93, CI95%: 64.71, 103.15) and improved sanitation facilities (B = 199.90, CI95%: 174.39, 225.42) in 2015. These findings indicate the association between HDI and the measures relevant to diarrheal disease among children. Therefore, in order to achieve to the Millennium Development Goals regarding child health, policymakers should concentrate on environmental and social factors affecting health.

Social factors play a crucial role in the quality of life of + 50 adults. This study aimed to investigate the association between social support, depression, and loneliness and the health-related quality of life in + 50 adults of Ardakan. This was a cross-sectional study from the first phase of Ardakan Cohort Study on Aging (ACSA) in 2019. Health-Related Quality of Life (HRQoL, SF-16), Duke Social Support Index (DSSI), and Center for Epidemiologic Studies Depression Scale (CES-D10) were used to assess the variables of interest. Multivariable linear regression was used to model the associated factors with the score of the SF-16 tool in two dimensions; physical (PCS) and mental (MCS). A total of 5197 over 50 years individuals included in this study; The mean age was 62.2 ± 7.3 years old, and 52% were male. The mean score for PCS and MCS subscales was 45.6 (95% CI 45.4 to 45.9) and 49.3 (95% CI 49.0 to 49.5), respectively. Adjusted for other variables, having less feeling level of loneliness, and not having depressive symptoms were related to better PCS and MCS scores. The HRQoL for the mental aspect of HRQoL was better than the physical in elder populations. Also, much more focus should be paid to older adults who experience inadequate social support, higher levels of loneliness, and depressive symptoms.

An ecologic study was conducted on 177 countries which the information of tobacco tax and price and also Human Development Index (HDI) was available in 2014. In this study, the relationship between HDI and four reported indexes by World Health Organization (WHO) was studied. These four indexes included: Tobacco affordability, Taxes as a percent of price of the most sold brand (total tax), Price of a 20 cigarette pack of the most sold brand international dollars at purchasing power parity (Price_ppp) and Price of a 20 cigarette pack of the most sold brand in US$ at official exchange rates (Price_US$). The data of HDI and tobacco were mined from WHO and United Nations Development Programme sites respectively. To study the correlation between HDI and the variables of this study, Pearson correlation coefficient was used and also Linear Regression Analysis was used to study the relationship between HDI and the variables of the study. According to the findings of the linear regression analysis, there was a significant relationship between HDI and total tax (B = 0.81, CI 95%: 0.63-0.99) and tobacco affordability (B = --0.35, CI 95%: --0.42 _ --0.28). There was also a significant relationship between HDI whit price-ppp (B = 9.44, CI 95%: 7.13-11.75) and price-US$ ;(B = 11.97, CI 95%: 9.71-14.23). According to the findings of this study, less developed countries devote less tax on tobacco. Due to the rising trend of the prevalence and also development of non-communicable diseases such as lung cancer in developing countries, policy makers of these countries are required to design stricter policies toward tobacco production and supply as well.

This study was conducted to investigate the effect of human development index (HDI) on tobacco smoking prevalence in men and women of countries which their data about tobacco smoking were available for 2015. Pearson's correlation coefficient and linear regression were used to investigate the association between HDI and all types of smoking, particularly cigarette. Daily smoking and current smoking were used as tobacco smoking indices. The information about prevalence of tobacco smoking and HDI was obtained from the World Health Organization (WHO) website and United Nations Development Programme (UNDP), respectively. The results showed that there is no statistically significant relationship between HDI and current tobacco smoking in men (B = -0.45_CI 95%: -29.97, 29.06). However, the same association was significant for women (B = 43.87, CI 95%: 24.97-62.78). The results indicated that women in developed countries are more at risk of health effects attributed to tobacco smoking. Countries should focus on socioeconomic factors to prevent the spread of risk factors for non-communicable diseases.

Background and objective: Dyslipidemia is a major modifiable factor in elderly people. The study objective was to assess the prevalence and associated risk factors of dyslipidemia among the Iranian population aged over 50. Methods: This population-based cross-sectional study is part of the Iranian Longitudinal Study on Ageing conducted in Ardakan, Iran. In total, 5,197 participants aged over 50 years old were included through a stratified random sampling method. Dyslipidemia was defined in compliance with the Adult Treatment Panel III criteria. The Chi-square and independent sample t-test were used to compare categorical and quantitative variables, respectively. A logistic regression analysis was applied to determine associated factors of dyslipidemia. Results: The mean age of the participants was 62.24±7.52. The prevalence of dyslipidemia was 68.85%. High levels of total cholesterol, triglyceride, low-density lipoprotein, and low level of high-density lipoprotein were seen among 9.74%, 24.66%, 5.54%, 19.20% of the participants, respectively. In addition, 66.05% of the study participants were under the treatment of lipid-lowering medications. Among the possible investigated risk factors of dyslipidemia, male gender (odds ratio (OR) = 0.56, 95% confidence interval (CI): 0.47, 0.68), waist circumference (OR = 1.03, 95%CI: 1.02, 1.04), diabetes mellitus (OR = 2.28, 95%CI: 1.96, 2.66), and hypertension (OR = 1.59, 95%CI: 1.38, 1.83) showed a statistically significant association (p<0.05). Conclusion: Dyslipidemia is highly prevalent in Ardakanˈs older population. So, lipid management interventions are necessary for this population.

Neural EGFL like 1 (NELL-1), is a secreted glycoprotein and stimulates osteogenic cell differentiation and bone mineralization. This study aimed to explore the relationship between NELL-1 and Trabecular Bone Score (TBS) as a novel tool for the evaluation of osteoporosis in an elderly population-based cohort study in Iran. A single-locus analysis was performed on TBS using data from 2,071 participants in the Bushehr Elderly Health (BEH) Program. The study investigated 376 independent single nucleotide polymorphisms (SNPs) within the NELL-1 on chromosome 11p15.1. The association between SNPs and the mean TBS L1 to L4 was analyzed through an additive model. Significant variants in the additive model (P_FDR<0.05) were further examined within dominant, recessive, over-dominant, and co-dominant models. Multiple linear regression was employed to assess the relationship between the genetic risk score (GRS) derived from significant SNPs and TBS. Three SNPs within the NELL-1 showed a statistically significant association with TBS after adjusting for age and sex. The associations for rs1901945 (β = 0.013, P_FDR = 0.0007), rs1584851 (β = -0.011, P_FDR = 0.0003), and rs58028601 (β = 0.011, P_FDR = 0.0003) were significant in the additive model. Additionally, significant results were observed for rs1901945 and rs58028601 in the dominant model (P<0.05). The GRS showed a statistically significant relationship with TBS, considering adjustments for age, sex, Body Mass Index, type 2 diabetes, and smoking (β = 0.077, P = 1.7×10⁻⁵). This study highlights the association of NELL-1 with TBS, underscoring its potential as a candidate for further research and personalized medicine concerning the impact of this gene on bone quality.