Summary Background Stay-at-home orders (lockdowns) have been deployed globally to control COVID-19 transmission, and might impair economic conditions and mental health, and exacerbate risk of food insecurity and intimate partner violence. The effect of lockdowns in low-income and middle-income countries must be understood to ensure safe deployment of these interventions in less affluent settings. We aimed to determine the immediate impact of COVID-19 lockdown orders on women and their families in rural Bangladesh. Methods An interrupted time series was used to compare data collected from families in Rupganj upazila, rural Bangladesh (randomly selected from participants in a randomised controlled trial), on income, food security, and mental health a median of 1 year and 2 years before the COVID-19 pandemic to data collected during the lockdown. We also assessed women's experiences of intimate partner violence during the pandemic. Results Between May 19 and June 18, 2020, we randomly selected and invited the mothers of 3016 children to participate in the study, 2424 of whom provided consent. 2414 (99·9%, 95% CI 99·6–99·9) of 2417 mothers were aware of, and adhering to, the stay-at-home advice. 2321 (96·0%, 95·2–96·7) of 2417 mothers reported a reduction in paid work for the family. Median monthly family income fell from US$212 at baseline to $59 during lockdown, and the proportion of families earning less than $1·90 per day rose from five (0·2%, 0·0–0·5) of 2422 to 992 (47·3%, 45·2–49·5) of 2096 (p<0·0001 comparing baseline with lockdown period). Before the pandemic, 136 (5·6%, 4·7–6·6) of 2420 and 65 (2·7%, 2·1–3·4) of 2420 families experienced moderate and severe food insecurity, respectively. This increased to 881 (36·5%, 34·5–38·4) of 2417 and 371 (15·3%, 13·9–16·8) of 2417 during the lockdown; the number of families experiencing any level of food insecurity increased by 51·7% (48·1–55·4; p<0·0001). Mothers' depression and anxiety symptoms increased during the lockdown. Among women experiencing emotional or moderate physical violence, over half reported it had increased since the lockdown. Interpretation COVID-19 lockdowns present significant economic, psychosocial, and physical risks to the wellbeing of women and their families across economic strata in rural Bangladesh. Beyond supporting only the most socioeconomically deprived, support is needed for all affected families. Funding National Health and Medical Research Council, Australia.

Undernutrition in early childhood is associated with poor mental development and affects 45% of children in Bangladesh. Although limited evidence shows that psychosocial stimulation can reduce the deficits, no such interventions have been reported from Bangladesh. The Bangladesh Integrated Nutrition Program (BINP) has provided nutrition supplementation to undernourished children through community nutrition centers (CNCs). We added psychosocial stimulation to the treatment of undernourished children in a randomized controlled trial to assess the effects on children's development and growth and mothers' knowledge. Twenty CNCs were randomly assigned to intervention or control groups with 107 children in each group. We also studied 107 nonintervened better-nourished children from the same villages. Pre- and postintervention measurements included children's height, weight, development assessed on Bayley Scales, behavior ratings during the test, and a questionnaire on mothers' knowledge of childrearing. The intervention comprised home visits and group meetings with mothers and children for 12 mo. Intervention benefited children's mental development (4.6 +/- 2.0, P = 0.02), vocalization (0.48 +/- 0.23, P = 0.04), cooperation (0.45 +/- 0.16, P = 0.005), response-to-examiner (0.50 +/- 0.15, P = 0.001), emotional tone (0.33 +/- 0.15, P = 0.03), and mothers' knowledge (3.5 +/- 0.49, P < 0.001). At the end, undernourished controls had poorer mental (-4.6 +/- 2.0, P = 0.02) and motor (-6.6 +/- 2.2, P = 0.003) development, were more inhibited (-0.35 +/- 0.16, P = 0.03), fussier (-0.57 +/- 0.16, P < 0.001), less cooperative (-0.48 +/- 0.17, P = 0.005), and less vocal (-0.76 +/- 0.23, P = 0.001) than better-nourished children. Intervened children scored lower only in motor development (-4.4 +/- 2.3, P = 0.049). Neither group of undernourished children improved in nutritional status, indicating that treatment had no effect. In conclusion, adding child development activities to the BINP improved children's development and behavior and their mothers' knowledge; however, the lack of improvement in growth needs to be examined further.

BackgroundIdentification of children at risk of developmental delay and/or impairment requires valid measurement of early child development (ECD). We systematically assess ECD measurement tools for accuracy and feasibility for use in routine services in low-income and middle-income countries (LMIC).MethodsBuilding on World Bank and peer-reviewed literature reviews, we identified available ECD measurement tools for children aged 0–3 years used in ≥1 LMIC and matrixed these according to when (child age) and what (ECD domains) they measure at population or individual level. Tools measuring <2 years and covering ≥3 developmental domains, including cognition, were rated for accuracy and feasibility criteria using a rating approach derived from Grading of Recommendations, Assessment, Development and Evaluations.Results61 tools were initially identified, 8% (n=5) population-level and 92% (n=56) individual-level screening or ability tests. Of these, 27 tools covering ≥3 domains beginning <2 years of age were selected for rating accuracy and feasibility. Recently developed population-level tools (n=2) rated highly overall, particularly in reliability, cultural adaptability, administration time and geographical uptake. Individual-level tool (n=25) ratings were variable, generally highest for reliability and lowest for accessibility, training, clinical relevance and geographical uptake.Conclusions and implicationsAlthough multiple measurement tools exist, few are designed for multidomain ECD measurement in young children, especially in LMIC. No available tools rated strongly across all accuracy and feasibility criteria with accessibility, training requirements, clinical relevance and geographical uptake being poor for most tools. Further research is recommended to explore this gap in fit-for-purpose tools to monitor ECD in routine LMIC health services.

ObjectiveTo determine the magnitude of relationships of early life factors with child development in low/middle-income countries (LMICs).DesignMeta-analyses of standardised mean differences (SMDs) estimated from published and unpublished data.Data sourcesWe searched Medline, bibliographies of key articles and reviews, and grey literature to identify studies from LMICs that collected data on early life exposures and child development. The most recent search was done on 4 November 2014. We then invited the first authors of the publications and investigators of unpublished studies to participate in the study.Eligibility criteria for selecting studiesStudies that assessed at least one domain of child development in at least 100 children under 7 years of age and collected at least one early life factor of interest were included in the study.AnalysesLinear regression models were used to assess SMDs in child development by parental and child factors within each study. We then produced pooled estimates across studies using random effects meta-analyses.ResultsWe retrieved data from 21 studies including 20 882 children across 13 LMICs, to assess the associations of exposure to 14 major risk factors with child development. Children of mothers with secondary schooling had 0.14 SD (95% CI 0.05 to 0.25) higher cognitive scores compared with children whose mothers had primary education. Preterm birth was associated with 0.14 SD (–0.24 to –0.05) and 0.23 SD (–0.42 to –0.03) reductions in cognitive and motor scores, respectively. Maternal short stature, anaemia in infancy and lack of access to clean water and sanitation had significant negative associations with cognitive and motor development with effects ranging from −0.18 to −0.10 SDs.ConclusionsDifferential parental, environmental and nutritional factors contribute to disparities in child development across LMICs. Targeting these factors from prepregnancy through childhood may improve health and development of children.

Background. In developing countries, it is often important to have measures of development in children under