1,261 research outputs found
State nutrition profile: Jammu and Kashmir
No full textThis Data Note describes the trends for a set of key nutrition and health outcomes, determinants, and coverage of interventions. The findings are based on estimates using unit-level data, data from national and state reports from the National Family Health Survey (NFHS)-3 (2005-2006) and NFHS-4 (2015-2016), and data from state factsheets and reports from NFHS-5 (2019-2021). In addition to standard prevalence-based analyses, this Data Note includes headcount-based analyses aligned to the POSHAN Abhiyaan monitoring framework to provide evidence that helps identify priority districts and number of districts in the state with public health concern as per the WHO guidelines. The Data Note includes a color-coded dashboard to compare the coverage of nutrition interventions across all the districts in the state. It concludes with key takeaways for children, women, and men, and identifies areas where the state has potential to improve.Non-PRIFPRI1; POSHAN; 2 Promoting Healthy Diets and Nutrition for all; DCAPHND; SA
Am circumference and conicity in obese patients – what is the best predictor of arm conicity?
No full textState nutrition profile: Rajasthan
No full textThis Data Note describes the trends for a set of key nutrition and health outcomes, determinants, and coverage of interventions. The findings are based on estimates using unit-level data, data from national and state reports from the National Family Health Survey (NFHS)-3 (2005-2006) and NFHS-4 (2015-2016), and data from state factsheets and reports from NFHS-5 (2019-2021). In addition to standard prevalence-based analyses, this Data Note includes headcount-based analyses aligned to the POSHAN Abhiyaan monitoring framework to provide evidence that helps identify priority districts and number of districts in the state with public health concern as per the WHO guidelines. The Data Note includes a color-coded dashboard to compare the coverage of nutrition interventions across all the districts in the state. It concludes with key takeaways for children, women, and men, and identifies areas where the state has potential to improve.Non-PRIFPRI1; POSHAN; 2 Promoting Healthy Diets and Nutrition for all; DCAPHND; SA
Arm size and conicity in adults presenting for elective surgery – implications for blood pressure measurement
No full textState nutrition profile: Tamil Nadu
No full textThis Data Note describes the trends for a set of key nutrition and health outcomes, determinants, and coverage of interventions. The findings are based on estimates using unit-level data, data from national and state reports from the National Family Health Survey (NFHS)-3 (2005-2006) and NFHS-4 (2015-2016), and data from state factsheets and reports from NFHS-5 (2019-2021). In addition to standard prevalence-based analyses, this Data Note includes headcount-based analyses aligned to the POSHAN Abhiyaan monitoring framework to provide evidence that helps identify priority districts and number of districts in the state with public health concern as per the WHO guidelines. The Data Note includes a color-coded dashboard to compare the coverage of nutrition interventions across all the districts in the state. It concludes with key takeaways for children, women, and men, and identifies areas where the state has potential to improve.Non-PRIFPRI1; POSHAN; 2 Promoting Healthy Diets and Nutrition for all; DCAPHND; SA
State nutrition profile: Meghalaya
No full textThis Data Note describes the trends for a set of key nutrition and health outcomes, determinants, and coverage of interventions. The findings are based on estimates using unit-level data, data from national and state reports from the National Family Health Survey (NFHS)-3 (2005-2006) and NFHS-4 (2015-2016), and data from state factsheets and reports from NFHS-5 (2019-2021). In addition to standard prevalence-based analyses, this Data Note includes headcount-based analyses aligned to the POSHAN Abhiyaan monitoring framework to provide evidence that helps identify priority districts and number of districts in the state with public health concern as per the WHO guidelines. The Data Note includes a color-coded dashboard to compare the coverage of nutrition interventions across all the districts in the state. It concludes with key takeaways for children, women, and men, and identifies areas where the state has potential to improve.Non-PRIFPRI1; POSHAN; 2 Promoting Healthy Diets and Nutrition for all; DCAPHND; SA
State nutrition profile: Andaman and Nicobar Islands
No full textThis Data Note describes the trends for a set of key nutrition and health outcomes, determinants, and coverage of interventions. The findings are based on estimates using unit-level data, data from national and state reports from the National Family Health Survey (NFHS)-3 (2005-2006) and NFHS-4 (2015-2016), and data from state factsheets and reports from NFHS-5 (2019-2021). In addition to standard prevalence-based analyses, this Data Note includes headcount-based analyses aligned to the POSHAN Abhiyaan monitoring framework to provide evidence that helps identify priority districts and number of districts in the state with public health concern as per the WHO guidelines. The Data Note includes a color-coded dashboard to compare the coverage of nutrition interventions across all the districts in the state. It concludes with key takeaways for children, women, and men, and identifies areas where the state has potential to improve.Non-PRIFPRI1; POSHAN; 2 Promoting Healthy Diets and Nutrition for all; DCAPHND; SA
Strengthening nutrition interventions during antenatal care improved maternal dietary diversity and child feeding practices in urban Bangladesh: Results of a quasi-experimental evaluation study
No full textBackground: Bangladesh is urbanizing rapidly, facing challenges of malnutrition, low coverage and poor quality of urban nutrition services.
Objectives: We assessed the impact of integrating maternal, infant, and young child nutrition interventions, delivered at urban Maternal Neonatal and Child Health facilities, on maternal dietary diversity, iron-folic acid (IFA) and calcium consumption, and child feeding practices.
Methods: We used a quasi-experimental design with a non-random assignment of 20 health facilities in Dhaka to intensive and standard service arms. We conducted facility-based observations and community-based surveys at baseline (2020) and endline (2022) (n=2,455 observations and surveys with 1,678 pregnant [PW] or recently delivered women [RDW] at endline). We derived difference-in-difference (DID) estimates, adjusted for characteristics that differed at baseline or endline, and accounted for clustering.
Results: Exposure to antenatal care (ANC) was similar in both arms: two-thirds of RDW received ANC during the first trimester and three-fourths received ≥4 ANC check-ups.
Compared to the standard arm, a higher proportion of PW in the intensive arm received counselling on dietary diversity (DID: 45 percentage points [pp]), and a higher proportion of RDW received IFA (25pp) and calcium supplementation (19pp), adequate weight gain (44pp), and appropriate child feeding (27pp). Improvements were greater in the intensive than standard arm for number of food groups consumed (DID: 1.1 food groups) and minimum dietary diversity (23pp); no impact was observed for IFA and calcium consumption during pregnancy. Impacts were observed for early initiation (20pp), exclusive breastfeeding (45pp), introduction of solid or semi-solid foods (28pp), and egg and/or flesh food consumption (33pp) among children. Minimum dietary diversity and acceptable diet remained low in both arms.
Conclusions: Intensifying nutrition in government-aligned health services delivered by experienced NGO-run facilities is a feasible model to address the urban health gap, nutrition services coverage, and improved practices.PRIFPRI3; ISI; DCA; CRP4; Alive and Thrive; 2 Promoting Healthy Diets and Nutrition for all; IFPRIOANutrition, Diets, and Health (NDH); Food and Nutrition Policy; A4NHCGIAR Research Program on Agriculture for Nutrition and Health (A4NH
Coverage of nutrition and health interventions in India: Insights from the National Family Health Surveys
No full textNutrition-specific interventions are aimed at improving the food, health, and care environment for women and children during the first 1000 days. These interventions span pregnancy, postnatal, and early childhood periods and include food and micronutrient supplementation, nutrition education and/or counselling, growth monitoring and promotion, as well as routine immunization, deworming, and care during illness. At 90% coverage, these interventions can contribute to 20% reduction in stunting and 61% reduction in severe wasting. India’s policy framework for health and nutrition is robust and includes most evidence-based nutrition and health interventions. Two large-scale national program platforms – the Integrated Child Development Services and the National Health Mission – together deliver these interventions across the country. India’s efforts at scaling up nutrition interventions are now also bolstered by the National Nutrition Mission. This Data Note describes the coverage of key nutrition and health interventions for which data are available in the National Family Health Surveys for 2015-2016 and 2019-2021. To examine coverage of interventions, indicators were created based on global definitions and making adaptations to Indian policy context where necessary. Data on women of reproductive age (15-49 years) with a child below five years of age from the most recent birth was used to compute these indicators. Indicator definitions are provided in Annex 1 of this Note.Non-PRIFPRI1; POSHAN; CRP4; 2 Promoting Healthy Diets and Nutrition for allNutrition, Diets, and Health (NDH); Food and Nutrition Policy; SAR; A4NHCGIAR Research Programs on Agriculture for Nutrition and Health (A4NH
Arm dimensions of patients with obesity and their experiences with blood pressure measurement: an observational study : NIBP measurement in patients with obesity
No full textObjective: In patients with obesity, it was determined what proportion had an arm slant angle (SA)
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