SummaryBackgroundPopulation estimates underpin demographic and epidemiological research and are used to track progress on numerous international indicators of health and development. To date, internationally available estimates of population and fertility, although useful, have not been produced with transparent and replicable methods and do not use standardised estimates of mortality. We present single-calendar year and single-year of age estimates of fertility and population by sex with standardised and replicable methods.MethodsWe estimated population in 195 locations by single year of age and single calendar year from 1950 to 2017 with standardised and replicable methods. We based the estimates on the demographic balancing equation, with inputs of fertility, mortality, population, and migration data. Fertility data came from 7817 location-years of vital registration data, 429 surveys reporting complete birth histories, and 977 surveys and censuses reporting summary birth histories. We estimated age-specific fertility rates (ASFRs; the annual number of livebirths to women of a specified age group per 1000 women in that age group) by use of spatiotemporal Gaussian process regression and used the ASFRs to estimate total fertility rates (TFRs; the average number of children a woman would bear if she survived through the end of the reproductive age span [age 10–54 years] and experienced at each age a particular set of ASFRs observed in the year of interest). Because of sparse data, fertility at ages 10–14 years and 50–54 years was estimated from data on fertility in women aged 15–19 years and 45–49 years, through use of linear regression. Age-specific mortality data came from the Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2017 estimates. Data on population came from 1257 censuses and 761 population registry location-years and were adjusted for underenumeration and age misreporting with standard demographic methods. Migration was estimated with the GBD Bayesian demographic balancing model, after incorporating information about refugee migration into the model prior. Final population estimates used the cohort-component method of population projection, with inputs of fertility, mortality, and migration data. Population uncertainty was estimated by use of out-of-sample predictive validity testing. With these data, we estimated the trends in population by age and sex and in fertility by age between 1950 and 2017 in 195 countries and territories.FindingsFrom 1950 to 2017, TFRs decreased by 49·4% (95% uncertainty interval [UI] 46·4–52·0). The TFR decreased from 4·7 livebirths (4·5–4·9) to 2·4 livebirths (2·2–2·5), and the ASFR of mothers aged 10–19 years decreased from 37 livebirths (34–40) to 22 livebirths (19–24) per 1000 women. Despite reductions in the TFR, the global population has been increasing by an average of 83·8 million people per year since 1985. The global population increased by 197·2% (193·3–200·8) since 1950, from 2·6 billion (2·5–2·6) to 7·6 billion (7·4–7·9) people in 2017; much ...

Household food insecurity (FI) is a complex and multidimensional phenomenon. Despite much debate on FI, during the past decades several unaccounted aspects that are assumed to affect the FI of women still remain. Reducing the FI requires understanding its determinants. During this cross-sectional study (Jun to May of 2017), 188 women (19 ~ 64 years of age) were recruited in Sardrood-Tabriz, North-East Iran using cluster, random, and systematic sampling methods. Outcomes included socio-demographics, body compositions, anthropometric incidences, degree of FI, and five-item healthy eating scores (HES-5). Food security was classified as follows: high, marginal, low, and very low (HFS, MFS, LFS, and VLFS, respectively). Based on multiple logistic regression scores, significant relationships were found between household food security status and occupation, education level of household supervisor, number of girls and boys in the family, the household income level, and HES-5 [odds ratios (OR)=2.92; P=0.02, OR=46.57; P=0.03, OR=2.43; P=0.02, OR=2.56; P=0.005, OR=3.84; P=0.009, and OR=1.67; P<0.001, respectively], after adjusting for other factors. Influences inversely affecting diet quality and anthropometric indices may contribute to poor health status in affected women.

Background: Sedentary behavior, time spent sitting, is particularly worrisome because several studies indicated the health threatening outcomes of long time sitting, while few interventions aimed at reducing the sitting time. Objectives: The current study aimed at reducing the sitting time and promoting physical activity (PA) among females with sedentary behaviors through providing social support. Methods: The study was a randomized, controlled trial conducted from September to December 2014 in Jolfa, East-Azerbaijan, Iran. The study was designed to assess the effect of social support on the reduction of sitting time. A total of 230 female teachers (115 per arm) from 16 primary and secondary schools were invited to participate in the current study. The outcomes were the changing the sitting time pattern and increased PA. A self-reported questionnaire consist of 3 parts was used at baseline and 8 weeks after the intervention. Results: The mean age (standard deviation (SD) of the participants were 42 (5.4) years. Participants in both intervention and control groups reported a significant increase in their PA at work that was in favor of the intervention group (at baseline: 112 versus 153 metabolic equivalent of task (MET)-minute/week; after intervention: 399 versus 154 MET-minute/week) (P < 0.05). Considerable differences between the intervention and control groups were observed in terms of siting time (at baseline: 25.8 versus 25 hour/ week; after intervention: 19.3 versus 24.3 hour/week). The reduction was significantly higher in the intervention group (6 hour/week) than the control group (0.8 hour/week). Conclusions: The findings indicated that providing a social support in schools for female teachers may improve several domains of PA and aggravate mental and physical workplace-related problems.