Introduction Although the prevalence of underweight is declining among Indian women, the prevalence of overweight/obesity is increasing. This study examined the prevalence and factors associated with underweight and overweight/obesity among reproductive-aged (i.e., 15–49 years) women in India. Methods This cross-sectional study analyzed data from the 2015–16 National Family Health Survey. The Asian and World Health Organization (WHO) recommended cutoffs for body mass index (BMI) were used to categorize body weight. The Asian and WHO BMI cutoffs for combined overweight/obesity were ≥ 23 and ≥ 25 kg/m 2 , respectively. Both recommendations had the same cutoff for underweight, < 18.5 kg/m 2 . After prevalence estimation, logistic regression was applied to investigate associated factors. Results Among 647,168 women, the median age and BMI was 30 years and 21.0 kg/m 2 , respectively. Based on the Asian cutoffs, the overall prevalence of underweight was 22.9%, overweight was 22.6%, and obesity was 10.7%, compared to 15.5% overweight and 5.1% obesity as per WHO cutoffs. The prevalence and odds of underweight were higher among young, nulliparous, contraceptive non-user, never-married, Hindu, backward castes, less educated, less wealthy, and rural women. According to both cutoffs, women who were older, ever-pregnant, ever-married, Muslims, castes other than backwards, highly educated, wealthy, and living in urban regions had higher prevalence and odds of overweight/obesity. Conclusion The prevalence of both non-normal weight categories (i.e., underweight and overweight/obesity) was high. A large proportion of women are possibly at higher risks of cardiovascular and reproductive adverse events due to these double nutrition burdens. Implementing large-scale interventions based on these results is essential to address these issues. Electronic supplementary material The online version of this article (10.1186/s41256-019-0117-z) contains supplementary material, which is available to authorized users.

We report momentum-resolved charge excitations in a one-dimensional (1D) Mott insulator studied using high resolution inelastic x-ray scattering over the entire Brillouin zone for the first time. Excitations at the insulating gap edge are found to be highly dispersive (momentum dependent) compared to excitations observed in two-dimensional Mott insulators. The observed dispersion in 1D cuprates ( SrCuO2 and Sr2CuO3) is consistent with charge excitations involving holons which is unique to spin-1/2 quantum chain systems. These results point to the potential utility of momentum-resolved inelastic x-ray scattering in providing valuable information about electronic structure of strongly correlated insulators.

We investigated determinants of hypertension in Bangladesh using both Joint National Committee 7 (JNC7) and 2017 American College of Cardiology/American Hypertension Association (2017 ACC/AHA) guidelines. After reporting background characteristics, odds ratios (ORs) were obtained by multilevel logistic regression. Among 7839 respondents aged ≥35 years, 25.7% (n = 2016) and 48.0% (n = 3767) respondents had hypertension as per the JNC7 and 2017 ACC/AHA guidelines, respectively. The following factors were significant according to the 2017 ACC/AHA

BackgroundIn spite of high prevalence rates, little is known about health seeking and related expenditure for chronic non-communicable diseases in low-income countries. We assessed relevant patterns of health seeking and related out-of-pocket expenditure in Bangladesh.MethodsWe used data from a household survey of 2500 households conducted in 2013 in Rangpur district. We employed multinomial logistic regression to assess factors associated with health seeking choices (no care or self-care, semi-qualified professional care, and qualified professional care). We used descriptive statistics (5% trimmed mean and range, median) to assess related patterns of out-of-pocket expenditure (including only direct costs).ResultsEight hundred sixty-six (12.5%) out of 6958 individuals reported at least one chronic non-communicable disease. Of these 866 individuals, 139 (16%) sought no care or self-care, 364 (42%) sought semi-qualified care, and 363 (42%) sought qualified care. Multivariate analysis confirmed that the following factors increased the likelihood of seeking qualified care: a higher education, a major chronic non-communicable disease, a higher socio-economic status, a lower proportion of chronic household patients, and a shorter distance between a household and a sub-district public referral health facility. Seven hundred fifty-four (87 %) individuals reported out-of-pocket expenditure, with drugs absorbing the largest portion (85%) of total expenditure. On average, qualified care seekers encountered the highest out-of-pocket expenditure, followed by those who sought semi-qualified care and no care, or self-care.ConclusionOur study reveals insufficiencies in health provision for chronic conditions, with more than half of all affected people still not seeking qualified care, and the majority still encountering considerable out-of-pocket expenditure. This calls for urgent measures to secure better access to care and financial protection.

India implemented a national mandatory lockdown policy (Lockdown 1.0) on 24 March 2020 in response to Coronavirus Disease 2019 (COVID-19). The policy was revised in three subsequent stages (Lockdown 2.0–4.0 between 15 April to 18 May 2020), and restrictions were lifted (Unlockdown 1.0) on 1 June 2020. This study evaluated the effect of lockdown policy on the COVID-19 incidence rate at the national level to inform policy response for this and future pandemics. We conducted an interrupted time series analysis with a segmented regression model using publicly available data on daily reported new COVID-19 cases between 2 March 2020 and 1 September 2020. National-level data from Google Community Mobility Reports during this timeframe were also used in model development and robustness checks. Results showed an 8% [95% confidence interval (CI) = 6–9%] reduction in the change in incidence rate per day after Lockdown 1.0 compared to prior to the Lockdown order, with an additional reduction of 3% (95% CI = 2–3%) after Lockdown 4.0, suggesting an 11% (95% CI = 9–12%) reduction in the change in COVID-19 incidence after Lockdown 4.0 compared to the period before Lockdown 1.0. Uptake of the lockdown policy is indicated by decreased mobility and attenuation of the increasing incidence of COVID-19. The increasing rate of incident case reports in India was attenuated after the lockdown policy was implemented compared to before, and this reduction was maintained after the restrictions were eased, suggesting that the policy helped to ‘flatten the curve’ and buy additional time for pandemic preparedness, response and recovery.

As ecosystems that support human health, societies, and civilization change in the era of the Anthropocene, individuals with disproportionate balance of salivary hormones may be at greatest risk of morbidity and mortality. Vulnerable communities, in particular, are overburdened by inequities in features of built environments linked to health disparities. This study examined the cross-sectional association of greenness in the built environment with the ratio of cortisol to dehydroepiandrosterone (DHEA) in an urban-dwelling high-risk community sample of African American women (n = 84, age 18-44 years). Saliva samples, collected across 2 consecutive days, were assayed for cortisol and DHEA. Controlling for sexual violence, perceived stress, education, and income, as well as crime, traffic density, and vacant properties, we observed a significant positive cross-sectional association between greenness and the cortisol to DHEA ratio, (β = 7•5, 95% CI: 0.89, 14.19). The findings highlight environmental influence on stress response at waking when there is the greatest individual variation. Implications for advancing our understanding of the waking ratio of cortisol to DHEA as a potential marker of physiological resilience are discussed.

BackgroundIntegrated health service delivery (IHSD) is a promising approach to improve health system resilience. However, there is a lack of evidence specific to the low/lower-middle-income country (L-LMIC) health systems on how IHSD is used during disease outbreaks. This scoping review aimed to synthesise the emerging evidence on IHSD approaches adopted in L-LMIC during the COVID-19 pandemic and systematically collate their operational features.MethodsA systematic scoping review of peer-reviewed literature, published in English between 1 December 2019 and 12 June 2020, from seven electronic databases was conducted to explore the evidence of IHSD implemented in L-LMICs during the COVID-19 pandemic. Data were systematically charted, and key features of IHSD systems were presented according to the postulated research questions of the review.ResultsThe literature search retrieved 1487 published articles from which 18 articles met the inclusion criteria and included in this review. Service delivery, health workforce, medicine and technologies were the three most frequently integrated health system building blocks during the COVID-19 pandemic. While responding to COVID-19, the L-LMICs principally implemented the IHSD system via systematic horizontal integration, led by specific policy measures. The government’s stewardship, along with the decentralised decision-making capacity of local institutions and multisectoral collaboration, was the critical facilitator for IHSD. Simultaneously, fragmented service delivery structures, fragile supply chain, inadequate diagnostic capacity and insufficient workforce were key barriers towards integration.ConclusionA wide array of context-specific IHSD approaches were operationalised in L-LMICs during the early phase of the COVID-19 pandemic. Emerging recommendations emphasise the importance of coordination and integration across building blocks and levels of the health system, supported by a responsive governance structure and stakeholder engagement strategies. Future reviews can revisit this emerging evidence base at subsequent phases of COVID-19 response and recovery in L-LMICs to understand how the approaches highlighted here evolve.

Social capital is defined as the nature of the social relationship between individuals or groups and the embedded resources available through their social network. It is considered as a critical determinant of health and well-being. Thus, it is essential to assess the performance of any tool when meaningfully comparing social capital between specific groups. Using measurement invariance (MI) analysis, this paper explored the factor structure of the social capital of men and women measured by a modified Shortened Adapted Social Capital Assessment Tool (SASCAT-I) in rural Uttar Pradesh (UP), India. The study sample comprised 5,287 men (18-101 years) and 7,186 women (15-45 years) from 6,218 randomly selected households who responded to SASCAT-I during a community-level cross-sectional survey. Social capital factor structure was examined by both exploratory and confirmatory factor analysis (CFA), and MI across genders was investigated using multigroup CFA. While disregarding gender, four unique factors (Organizational Participation, Social Support, Trust, and Social Cohesion) represented the structure of social capital. The MI analysis presented a partial metric-invariance indicating factor loadings for Organizational Participation and Social Support were the same across genders. The gender-stratified analysis demonstrated that a four-factor solution was best fitted for both men and women. Men and women of rural UP interpreted social capital differently as the perception of Trust and Social Cohesion varied across genders. For any future applications of SASCAT-I, we recommend gender-stratified factor analysis to quantify social capital's measure, acknowledging its multidimensionality.