Under-five children's acute respiratory infection dropped significantly in Bangladesh: An evidence from Bangladesh demographic and health survey, 1996-2018.

AIM: This study aims to systematically identify and review the most significant risk factors and the trends that follow acute respiratory infection (ARI) among children under five in Bangladesh. METHODS: A total of 6863 under-five children were eligible for our analysis, retrieved from Bangladesh Demographic and Health Survey (BDHS), 2014. ARI cases were defined if a child experienced coughing with short and rapid breathing at the chest that occurred during 2 weeks prior to the study. Logistic regression and systematic review methods were appraised to explore the various risk factors involving ARI in Bangladesh. Furthermore, a trend analysis was performed to overlook the historical trend of ARI prevalence and affiliated determinants from 1996/97 to 2017/18 in Bangladesh. RESULTS: Over the past two decades, Bangladesh experienced a significant drop in ARI prevalence from 12.8% in 1996 to only 3.0% in 2018. The cross-sectional findings revealed that boys (OR = 1.35, 95% CI: 1.03-1.78), stunted children (OR = 1.35, 95% CI: 1.03-1.78) and mothers with primary or no education (OR = 2.53, 95% CI: 1.43-4.90) and secondary education (OR = 1.77, 95% CI: 1.00-3.44) have the higher odds of ARI than their counterparts. CONCLUSION: Acute respiratory infection prevalence significantly declined in Bangladesh, while boys, stunted children and uneducated or primary educated mothers were identified as potential risk factors.

Development and validation of a tool to assess appetite of children in low income settings.

Reliable and validated tools for measuring appetite of children in South Asia are not available. This study aimed to develop and validate a tool for assessing appetite level of under-five children. Based on literature review and findings from focus group discussions (FGDs), an initial 27-item interview-based tool, the "Early Childhood Appetite and Satiety Tool (ECAST)" was developed in Bangladesh. Fourteen FGDs were carried out in rural and urban settings and constructs for inclusion were derived from the themes and coding of FGDs and appetite assessment tools used in Western contexts. For structural validation, the ECAST-27-was administered on 150 mothers/primary caregivers of children aged 6-59 months, living in urban and rural areas. To validate the association with other variables, the ECAST was administered on mothers of children aged 12-24 months in the community (N = 50), and two groups of wasted, hospitalized children (Weight-for-length, Z score <-2SD) [group1: twenty acutely ill children aged 6-59 months; group 2: twenty children in nutritional rehabilitation aged 18-24 months]. Reliability of ECAST was estimated using Cronbach's alpha and Pearson's correlation coefficient. Kaiser-Meyer-Olkin = 0.73 and the Bartlett's test of sphericity, χ2(253) = 755.791, p < 0.001 indicated that the raw data were suitable. Given the convergence of the Scree plot, Kaiser's criterion and dropping of cross loading items, a 16-item ECAST was produced with three sub scales: Appetite cue; Food responsiveness and Emotion and preference, which were internally valid and had good test-retest reliability (Cronbach's alpha 0.6 and test-retest reliability 0.797). Total ECAST scores of wasted children with good appetite were significantly higher from those with poor appetite (p = 0.004 and 0.001 for two wasted groups respectively). Results suggest that ECAST may provide a useful measure to assess the appetite level of under-five children.

Qualitative assessment of programmatic constraints in delivery of effective interventions for improving maternal nutrition in Bangladesh.

Introduction: Maternal undernutrition is highly prevalent in most of the developing countries. Prevalence of both extremes of maternal malnutrition (undernutrition and overweight/obesity) are common in those countries. For Bangladesh, the scenario is not different. The Government of Bangladesh recognises maternal nutrition as a public health priority and addresses the issue in its policies and programmes. We identified and analysed the existing maternal nutrition programmes and determined the bottlenecks in implementing the programmes in Bangladesh using qualitative approach. Methods: We followed a qualitative research approach and conducted 25 key informant interviews with the programme managers and policymakers, 10 in-depth interviews with the service providers and six focus group discussions with the pregnant women to identify the constraints of programme implementation. We analysed data using thematic and inductive approaches of qualitative research methods. Results: We have found that successful implementation of maternal nutrition intervention was being hampered by both the demand and supply side issues. On the demand side, major constraints were financial inability of the families to avail maternal nutrition-related services, ignorance of the family members and cultural barriers of using maternal nutrition-related services. Lack of priority and heavy workload of the service providers, lack of human resources, poor monitoring system, lack of medicine to supply and incoordination have been identified as major supply-side constraints in providing maternal nutrition-related interventions in Bangladesh. Conclusion: Both supply side and demand side issues are responsible for the existing bottlenecks in implementing maternal nutrition-related programmes in Bangladesh. Findings of this study will help the policymakers to learn about the programmatic constraints regarding maternal nutrition services in Bangladesh.

Association of Household Food Insecurity with Nutritional Status and Mental Health of Pregnant Women in Rural Bangladesh.

Food insecurity may affect women's health; however, pertinent research is scant among pregnant women. This study investigated the association of household food insecurity (HFI) with the nutritional status and mental health of 672 early-gestation (5-16 weeks) pregnant women with a singleton fetus, who participated in the screening activity of a community-based trial (NCT04868669) in Matlab, Bangladesh. Height (cm), weight (kg), body mass index (kg/m2), mid-upper arm circumference (MUAC) (cm), depression, anxiety, and stress were the outcomes studied. HFI was assessed using the Household Food Insecurity Access Scale. Women's depression, anxiety, and stress were assessed using the Depression, Anxiety, and Stress Scales-21. Propensity score matching based weighted multivariable linear and logistic regression were used to evaluate the independent association of HFI with the outcomes. In adjusted models, pregnant women from food-insecure households in rural Matlab were on average 2.0 cm shorter (ß = -2.0, 95% CI: -3.3, -0.7), 2.0 kg lighter (ß = -2.0, 95% CI: -3.4, -0.7), and had 0.6 cm lower MUAC (ß = -0.6, 95% CI: -1.1, -0.1) than their food-secure counterparts. HFI was associated with higher odds of depression (OR = 3.3, 95% CI: 1.8, 5.9), anxiety (OR = 6.1, 95% CI: 3.7, 10.0), and stress (OR = 4.8, 95% CI: 1.6, 14.2) among the women. Public health measures should focus on ensuring proper nutrition during the critical growth periods of life, pregnancy, and external environmental shocks, to mitigate the adverse effects of HFI on women's health.