A comprehensive assessment of deworming coverage among pregnant women in low- and middle-income countries, 2000-30.

Background: Intestinal parasitic infections pose a significant global public health issue, particularly among pregnant women, who are generally more susceptible due to their elevated need for iron and nutrients. Deworming stands as a secure and efficacious public health intervention. The World Health Organization (WHO) set a target for the national deworming coverage rate among pregnant women at 75% by 2030. Nonetheless, the existing body of evidence on deworming among pregnant women in low- and middle-income countries (LMICs) remains limited. Methods: Based on Demographic Health Survey (DHS) data from 56 LMICs (n = 924 277) between 2000 and 2022, we used Bayesian hierarchical models to estimate trends of deworming coverage up to 2030 and to analyse determinant factors of deworming. Results: We found that, despite progress in deworming coverage estimates for most countries, only 11 (<20%) are on track to achieve the WHO target coverage at the national level. Inequality gaps were projected to increase in most LMICs. A multilevel model showed that increased numbers of antenatal care, access to safe water, and a higher wealth index were associated with higher odds of deworming. Conclusions: The progress on deworming coverage and inequality in many countries remains insufficient for achieving the WHO target by 2030. Additional investments in the health sector towards the expansion of deworming programmes, along with integration with existing health services, are urgently required, as is the introduction of effective policies and strengthening programmes within the context of the 'Leave No One Behind' agenda.

Nonlinear temperature-suicide association in Japan from 1972 to 2015: Its heterogeneity and the role of climate, demographic, and socioeconomic factors.

It has been reported that suicide is associated with ambient temperature; however, the heterogeneity in this association and its underlying factors have not been extensively investigated. Therefore, we investigated the spatial and temporal variation in the temperature-suicide association and examined climatic, demographic, and socioeconomic factors that may underlie such heterogeneity. We analyzed the daily time-series data for the suicide counts and ambient temperature, which were collected for the 47 prefectures of Japan from 1972 to 2015, using a two-stage analysis. In the first stage, the prefecture-specific temperature-suicide association was estimated by using a generalized linear model. In the second stage, the prefecture-specific associations were pooled, and key factors explaining the spatial and temporal variation were identified by using mixed effects meta-regression. Results showed that there is an inverted J-shape nonlinear association between temperature and suicide; the suicide risk increased with temperature but leveled off above 24.4 °C. The nationwide relative risk (RR) for the maximum suicide temperature versus 5th temperature percentile (2.9 °C) was estimated as 1.26 (95% CI: 1.22, 1.29). The RRs were larger for females than for males (1.32 vs. 1.22) and larger for elderly people (≥65 y) than for the non-elderly (15-64 y) (1.51 vs. 1.18). The RRs were larger for rural prefectures, which are characterized by smaller population, higher proportions of females and elderly people, and lower levels of financial capability and the proportion of highly educated people. The RRs were also larger in colder and less humid prefectures. These findings may help in understanding the potential mechanism of the temperature-suicide association and projecting the future risk of suicide under climate change.

U-shaped association between fertility and mortality in a community-based sample of Japanese women.

BACKGROUND: Prospective cohort studies of contemporary populations in both Western and Asian settings have reported a U-shaped association between fertility and mortality. We examined whether an association exists between fertility and all-cause and cause-specific mortality in a sample of Japanese women. METHODS: A prospective cohort study was conducted in one rural and one urban community in Gunma Prefecture, Japan, in 1993. A follow-up survey was conducted in the year 2000 in 4858 women aged 47-77 years, and information on demographic and lifestyle characteristics was collected. Mortality and migration data through December 2008 were obtained. A Cox proportional hazard model was used to examine the relationship between parity and mortality. RESULTS: Compared with women with 2-4 children (reference group), higher total mortality was observed among women with 0-1 or 5+ children. Low (HR 1.7, 95% CI 1.2 to 2.3) and high (HR 2.1, 95% CI 1.0 to 4.7) parities were both associated with higher all-cause mortality even after adjusting for potential confounders. Mortality due to ischaemic heart disease exhibited a significant association with parity; the HRs were 3.2 (95% CI 1.1 to 9.2) for women with 0-1 child and 8.7 (95% CI 1.7 to 45.5) for women with 5 or more children. No significant association was observed for mortality from malignancies, cancer of the digestive system, cardiovascular disease or cerebrovascular disease. CONCLUSIONS: There exists a U-shaped association between parity and all-cause mortality and cause-specific mortality due to ischaemic heart disease among Japanese women.

Sociogeographic variation in the effects of heat and cold on daily mortality in Japan.

BACKGROUND: Ambient temperature affects mortality in susceptible populations, but regional differences in this association remain unclear in Japan. We conducted a time-series study to examine the variation in the effects of ambient temperature on daily mortality across Japan. METHODS: A total of 731 558 all-age non-accidental deaths in 6 cities during 2002-2007 were analyzed. The association between daily mortality and ambient temperature was examined using distributed lag nonlinear models with Poisson distribution. City-specific estimates were combined using random-effects meta-analysis. Bivariate random-effects meta-regressions were used to examine the moderating effect of city characteristics. RESULTS: The effect of heat generally persisted for 1 to 2 days. In warmer communities, the effect of cold weather lasted for approximately 1 week. The combined increases in mortality risk due to heat (99th vs 90th percentile of city-specific temperature) and cold (first vs 10th percentile) were 2.21% (95% CI, 1.38%-3.04%) and 3.47% (1.75%-5.21%), respectively. City-specific effects based on absolute temperature changes were more heterogeneous than estimates based on relative changes, which suggests some degree of acclimatization. Northern populations with a cool climate appeared acclimatized to low temperature but were still vulnerable to extreme cold weather. Population density, average income, cost of property rental, and number of nurses appeared to influence variation in heat effect across cities. CONCLUSIONS: We noted clear regional variation in temperature-related increases in mortality risk, which should be considered when planning preventive measures.