Underground water in many regions of the world is contaminated with high concentrations of arsenic and the resulting toxicity has created a major environmental and public health problem in the affected regions. Chronic arsenic exposure can cause many diseases, including various physical and psychological harms. Although the physical problems caused by arsenic toxicity are well reported in literature, unfortunately the consequences of arsenic exposure on mental health are not adequately studied. Therefore we conducted a review of the available literature focusing on the social consequences and detrimental effects of arsenic toxicity on mental health. Chronic arsenic exposures have serious implications for its victims (i.e. arsenicosis patients) and their families including social instability, social discrimination, refusal of victims by community and families, and marriage-related problems. Some studies conducted in arsenic affected areas revealed that arsenic exposures are associated with various neurologic problems. Chronic arsenic exposure can lead to mental retardation and developmental disabilities such as physical, cognitive, psychological, sensory and speech impairments. As health is defined by the World Health Organization as “a state of complete physical, mental and social wellbeing”, the social dimensions have a large impact on individual’s mental health. Furthermore studies in China und Bangladesh have shown that mental health problems (e.g. depression) are more common among the people affected by arsenic contamination. Our study indicates various neurological, mental and social consequences among arsenic affected victims. Further studies are recommended in arsenic-affected areas to understand the underlying mechanisms of poor mental health caused by arsenic exposure.

BackgroundMalnutrition is one of the principal causes of child mortality in developing countries including Bangladesh. According to our knowledge, most of the available studies, that addressed the issue of malnutrition among under-five children, considered the categorical (dichotomous/polychotomous) outcome variables and applied logistic regression (binary/multinomial) to find their predictors. In this study malnutrition variable (i.e. outcome) is defined as the number of under-five malnourished children in a family, which is a non-negative count variable. The purposes of the study are (i) to demonstrate the applicability of the generalized Poisson regression (GPR) model as an alternative of other statistical methods and (ii) to find some predictors of this outcome variable.MethodsThe data is extracted from the Bangladesh Demographic and Health Survey (BDHS) 2007. Briefly, this survey employs a nationally representative sample which is based on a two-stage stratified sample of households. A total of 4,460 under-five children is analysed using various statistical techniques namely Chi-square test and GPR model.ResultsThe GPR model (as compared to the standard Poisson regression and negative Binomial regression) is found to be justified to study the above-mentioned outcome variable because of its under-dispersion (variance < mean) property. Our study also identify several significant predictors of the outcome variable namely mother’s education, father’s education, wealth index, sanitation status, source of drinking water, and total number of children ever born to a woman.ConclusionsConsistencies of our findings in light of many other studies suggest that the GPR model is an ideal alternative of other statistical models to analyse the number of under-five malnourished children in a family. Strategies based on significant predictors may improve the nutritional status of children in Bangladesh.

Background Coronavirus disease 2019 (COVID-19), the most hectic pandemic of the era, is increasing exponentially and taking thousands of lives worldwide. This study aimed to assess the prevalence of pre-existing comorbidities among COVID-19 patients and their mortality risks with each category of pre-existing comorbidity. Methods To conduct this systematic review and meta-analysis, Medline, Web of Science, Scopus, and CINAHL databases were searched using pre-specified search strategies. Further searches were conducted using the reference list of the selected studies, renowned preprint servers (eg, medRxiv, bioRxiv, SSRN), and relevant journals’ websites. Studies written in the English language included if those were conducted among COVID-19 patients with and without comorbidities and presented survivor vs non-survivor counts or hazard/odds of deaths or survivors with types of pre-existing comorbidities. Comorbidities reported in the selected studies were grouped into eight categories. The pooled likelihoods of deaths in each category were estimated using a fixed or random-effect model, based on the heterogeneity assessment. Publication bias was assessed by visual inspection of the funnel plot asymmetry and Egger’s regression test. Trim and Fill method was used if there any publication bias was found. Results A total of 41 studies included in this study comprised of 27 670 samples. The most common pre-existing comorbidities in COVID-19 patients were hypertension (39.5%), cardiovascular disease (12.4%), and diabetes (25.2%). The higher likelihood of deaths was found among COVID-19 patients who had pre-existing cardiovascular diseases (odds ratio (OR) = 3.42, 95% confidence interval (CI) = 2.86-4.09), immune and metabolic disorders (OR = 2.46, 95% CI = 2.03-2.85), respiratory diseases (OR = 1.94, 95% CI = 1.72-2.19), cerebrovascular diseases (OR = 4.12, 95% CI = 3.04-5.58), any types of cancers (OR = 2.22, 95% CI = 1.63-3.03), renal (OR = 3.02, 95% CI = 2.60-3.51), and liver diseases (OR = 2.35, 95% CI = 1.50-3.69). Conclusions This study provides evidence that COVID-19 patients with pre-existing comorbidities had a higher likelihood of death. These findings could potentially help health care providers to sort out the most susceptible COVID-19 patients by comorbidities, take precautionary measures during hospitalization, assess susceptibility to death, and prioritize their treatment, which could potentially reduce the number of fatalities in COVID-19.

This study assessed the effect of temperature and thermal atmospheric conditions on all-cause and cardiovascular mortality in Bangladesh. In particular, differences in the response to elevated temperatures between urban and rural areas were investigated. Generalized additive models (GAMs) for daily death counts, adjusted for trend, season, day of the month and age were separately fitted for urban and rural areas. Breakpoint models were applied for determining the increase in mortality above and below a threshold (equivalent) temperature. Generally, a 'V'-shaped (equivalent) temperature-mortality curve with increasing mortality at low and high temperatures was observed. Particularly, urban areas suffered from heat-related mortality with a steep increase above a specific threshold. This adverse heat effect may well increase with ongoing urbanization and the intensification of the urban heat island due to the densification of building structures. Moreover, rising temperatures due to climate change could aggravate thermal stress.

Background: Smoking is one of the leading causes of premature death particularly in developing countries. The prevalence of smoking is high among the general male population in Bangladesh. Unfortunately smoking information including correlates of smoking in the cities especially in the urban slums is very scarce, although urbanization is rapid in Bangladesh and slums are growing quickly in its major cities. Therefore this study reported prevalences of cigarette and bidi smoking and their correlates separately by urban slums and non-slums in Bangladesh.

BackgroundSense of Coherence (SOC) is considered as a health-promoting resource; it is mainly developed before the age of 30. The multiple demands university students face, such as study-related stress and financial difficulty, could challenge their SOC development. This study aimed to: 1) investigate the association between SOC, socio-demographic and lifestyle-related characteristics; 2) assess the effect of perceived stress on SOC controlling for other variables among the Chinese university students. Analyses were done to derive a better view on possible strategies to strengthen students’ SOC and with that to promote their health.MethodsThe data used were from a Chinese university student health survey (N = 1,853). Logistic regression analyses were used to explore the effects of varied socio-demographic, lifestyle-related variables on students’ level of SOC, as well as the association between perceived stress and SOC controlling for other variables in the analysis.ResultsBoth social support (OR = 2.56 [1.87–3.50]) and better performance compared with peers (OR = 1.64 [1.15–2.34]) were associated with a stronger SOC. Not feeling isolated at university (OR = 1.60 [1.04–2.47]) and satisfaction with the political situation (OR = 2.05 [1.57–2.67]) were also associated with a stronger SOC. This counts also for high health awareness (OR = 1.40 [1.05–1.87]) and nutrition importance (OR = 1.67 [1.04–2.69]). Perceived stress (OR = 0.81 [0.79–0.83]) was negatively associated with a strong SOC when controlling for socio-demographic and lifestyle-related variables.ConclusionWe suggest integrating stress coping, emotion management training programmes as well as measures promoting social integration for students and teachers at campus, promoting healthy behaviours, and creating a supportive learning environment as strategies for enhancing the SOC level of university students in China.

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This paper considers evidence of the effectiveness of a non-governmental organization (NGO) primary health care programme in rural Bangladesh. It is based on data from the programme's management information system reported by 27 partner NGOs from 1996-2002. The data indicate relatively high coverage has been achieved for reproductive and child health services, as well as lower infant and child mortality. On the basis of a crude indicator of socio-economic status, the programme is poverty-focused. There is good service coverage among the poorest one-third and others, and the infant and child mortality differential has been eliminated over recent years. A rapid decline in infant mortality among the poorest from 1999-2002 reflects a reduction in neonatal mortality of about 50%. Allowing for some under-reporting and possible misclassification of deaths to the stillbirths category, neonatal mortality is relatively low in the NGO areas. The lower child and maternal mortality for the NGO areas combined, compared with estimates for Bangladesh in recent years, may at least in part be due to high coverage of reproductive and child health services. Other development programmes implemented by many of the NGOs could also have contributed. Despite the limited resources available, and the lower infant and child mortality already achieved, there appears to be scope for further prevention of deaths, particularly those due to birth asphyxia, acute respiratory infection, diarrhoeal disease and accidents. Maternal mortality in the NGO areas was lower in 2000-02 than the most recent estimate for Bangladesh. Further reduction is likely to depend on improved access to qualified community midwives and essential obstetric care at government referral facilities.