Gabriela Buccini, Krystyna A. Stave, Katherine Marçal, Sonia Isoyama Venancio, Muriel Bauermann Gubert, Rafael Pérez-Escamilla
Experiencing food insecurity in early childhood is associated with adverse health and nutrition outcomes. About 66% of Brazilian households with children are food insecure; however, interventions targeting early childhood have fallen short in addressing food insecurity due to a lack of funding and multisectoral coordination combined with the COVID-19 pandemic. Therefore, protecting children from food insecurity is a complex task in Brazil and requires innovative approaches. We hypothesize that applying a Nurturing Care Framework (NCF) lens and systems thinking tools can indicate pragmatic pathways to reduce early childhood food insecurity. To examine this hypothesis, we used a participatory group model-building approach to integrate the knowledge of twelve Brazilian experts working in different sectors into a qualitative causal loop diagram (CLD) underlying the dynamics of food insecurity in early childhood. By analyzing the CLD, we aimed (1) to assess whether the Brazilian food insecurity system includes the NCF components and identify how these systems affect young children, and (2) to qualitatively explore feedback loops, pivotal variables (i.e., variables with the most immediate causes and/or immediate causal consequences), and leverage points (i.e., specific variables to intervene to produce a change in the overall system) to reduce food insecurity in early childhood. The integrated CLD outlines a structure with 28 variables assigned across the NCF components. A deeper qualitative analysis of the direct and indirect links identified how food insecurity is experienced by young children. This included a description of two feedback loops reinforcing childhood food insecurity, such as Financial Hardships and Emotional Distress Spiral. Food quality emerged as the pivotal variable with the most proximate causes and/or consequences related to early childhood food insecurity. Positive parenting practices and participation in daycare emerged as direct links to address early childhood food insecurity. Expanding access to nurturing care through national and local policies can enhance the resilience of the systems underlying early childhood food insecurity to disruptions such as the COVID-19 pandemic.
{"title":"Nurturing Care Systems Underlying Early Childhood Food Insecurity in Brazil: A Causal Loop Diagram Approach","authors":"Gabriela Buccini, Krystyna A. Stave, Katherine Marçal, Sonia Isoyama Venancio, Muriel Bauermann Gubert, Rafael Pérez-Escamilla","doi":"10.1111/mcn.70142","DOIUrl":"https://doi.org/10.1111/mcn.70142","url":null,"abstract":"<p>Experiencing food insecurity in early childhood is associated with adverse health and nutrition outcomes. About 66% of Brazilian households with children are food insecure; however, interventions targeting early childhood have fallen short in addressing food insecurity due to a lack of funding and multisectoral coordination combined with the COVID-19 pandemic. Therefore, protecting children from food insecurity is a complex task in Brazil and requires innovative approaches. We hypothesize that applying a Nurturing Care Framework (NCF) lens and systems thinking tools can indicate pragmatic pathways to reduce early childhood food insecurity. To examine this hypothesis, we used a participatory group model-building approach to integrate the knowledge of twelve Brazilian experts working in different sectors into a qualitative causal loop diagram (CLD) underlying the dynamics of food insecurity in early childhood. By analyzing the CLD, we aimed (1) to assess whether the Brazilian food insecurity system includes the NCF components and identify how these systems affect young children, and (2) to qualitatively explore feedback loops, pivotal variables (i.e., variables with the most immediate causes and/or immediate causal consequences), and leverage points (i.e., specific variables to intervene to produce a change in the overall system) to reduce food insecurity in early childhood. The integrated CLD outlines a structure with 28 variables assigned across the NCF components. A deeper qualitative analysis of the direct and indirect links identified how food insecurity is experienced by young children. This included a description of two feedback loops reinforcing childhood food insecurity, such as Financial Hardships and Emotional Distress Spiral. Food quality emerged as the pivotal variable with the most proximate causes and/or consequences related to early childhood food insecurity. Positive parenting practices and participation in daycare emerged as direct links to address early childhood food insecurity. Expanding access to nurturing care through national and local policies can enhance the resilience of the systems underlying early childhood food insecurity to disruptions such as the COVID-19 pandemic.</p>","PeriodicalId":51112,"journal":{"name":"Maternal and Child Nutrition","volume":"22 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/mcn.70142","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145626463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Maternal diet quality and perinatal depression significantly impact maternal and child health, yet their relationship remains underexplored in low-resource settings. This cross-sectional study examined the association between overall diet quality and risk of depression during the third trimester among 296 pregnant women receiving antenatal care at Dhulikhel Hospital, Nepal (August 2023–January 2024). Depression risk was assessed using the Edinburgh Postnatal Depression Scale (EPDS), with scores ≥ 12 indicating elevated symptoms. Diet quality was measured using an adapted Nepali version of the 23-item PrimeScreen questionnaire, generating a Prime Diet Quality Score (PDQS) ranging from 0 to 46. Multivariable logistic regression models were used to estimate the association between PDQS and depression risk, adjusting for age, education, ethnicity, occupation, parity, gestational week, physical activity, and pre-pregnancy BMI. The mean PDQS was 24.7 (SD = 3.1), and 22.3% of participants screened positive for depression. Each 1-point increase in PDQS was associated with 16% lower odds of depression (adjusted OR: 0.84; 95% CI: 0.70–0.90; p = 0.002). These findings suggest that higher overall diet quality is associated with a reduced likelihood of third trimester depression. Further longitudinal studies are warranted to assess causality and inform targeted nutritional interventions. If supported by further studies, incorporating brief dietary assessments like PrimeScreen into antenatal care may potentially offer a feasible strategy to identify women with suboptimal diet quality and co-occurring depressive symptoms in low- and middle-income countries.
{"title":"Maternal Diet Quality and Third Trimester Depression: Insights From a Nepali Birth Cohort Study","authors":"Kalpana Chaudhary, Shaun Ranade, Pratiksha Paudel, Bhawana Shrestha, Shija Panjiyar, Shraddha Thapaliya, Reena Koju, Abha Shrestha, Prasanna Rai, Bandana Paneru, Namuna Shrestha, Archana Shrestha, Shristi Rawal","doi":"10.1111/mcn.70146","DOIUrl":"https://doi.org/10.1111/mcn.70146","url":null,"abstract":"<p>Maternal diet quality and perinatal depression significantly impact maternal and child health, yet their relationship remains underexplored in low-resource settings. This cross-sectional study examined the association between overall diet quality and risk of depression during the third trimester among 296 pregnant women receiving antenatal care at Dhulikhel Hospital, Nepal (August 2023–January 2024). Depression risk was assessed using the Edinburgh Postnatal Depression Scale (EPDS), with scores ≥ 12 indicating elevated symptoms. Diet quality was measured using an adapted Nepali version of the 23-item PrimeScreen questionnaire, generating a Prime Diet Quality Score (PDQS) ranging from 0 to 46. Multivariable logistic regression models were used to estimate the association between PDQS and depression risk, adjusting for age, education, ethnicity, occupation, parity, gestational week, physical activity, and pre-pregnancy BMI. The mean PDQS was 24.7 (SD = 3.1), and 22.3% of participants screened positive for depression. Each 1-point increase in PDQS was associated with 16% lower odds of depression (adjusted OR: 0.84; 95% CI: 0.70–0.90; <i>p</i> = 0.002). These findings suggest that higher overall diet quality is associated with a reduced likelihood of third trimester depression. Further longitudinal studies are warranted to assess causality and inform targeted nutritional interventions. If supported by further studies, incorporating brief dietary assessments like PrimeScreen into antenatal care may potentially offer a feasible strategy to identify women with suboptimal diet quality and co-occurring depressive symptoms in low- and middle-income countries.</p>","PeriodicalId":51112,"journal":{"name":"Maternal and Child Nutrition","volume":"22 1","pages":""},"PeriodicalIF":2.6,"publicationDate":"2025-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/mcn.70146","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145619355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sarah M L Pechtl, Mohru Mardonova, Tanzila Ergasheva, Isabel B Lambrecht
Tajikistan faces significant food insecurity and multiple forms of malnutrition in its population, with women particularly at risk. Social norms related to gender and intrahousehold hierarchy are pervasive. Yet, how gender impacts dietary intake in Tajikistan remains to be studied. Understanding this mechanism is critical to develop adequate strategies for effective, equitable progress in mitigating malnutrition and food insecurity. An explanatory sequential mixed-methods study was conducted to assess the extent and identify the drivers of gender-based and intrahousehold differences in dietary diversity in Khatlon Province, Tajikistan. Predictors of dietary diversity were statistically assessed using quantitative survey data from 1704 adults who participated in the 2023 USAID/IFPRI Population-Based Survey. Qualitative data from 12 focus group discussions, 19 individual interviews, and 21 Photovoice interviews were analyzed using reflexive thematic analysis to further ascertain and understand these drivers. Gender was identified as a predictor of dietary diversity in both quantitative and qualitative findings. Women reported lower dietary diversity than men, even within in the same household. Gender norms contribute to unequal food distribution and opportunities to consume food away from the household. Expressing social values such as respect during mealtimes and perceptions of dietary needs prioritize men and children over women in consuming foods deemed more nutritious (e.g., meat). This study highlights the importance of considering household dynamics and gender roles in equitably addressing food and nutrition insecurity and malnutrition. Mitigating malnutrition in Tajikistan will necessitate gender equity-focused social behavior change interventions targeting women and men across different generations.
{"title":"A Mixed-Method Study on Gender and Intrahousehold Differences in Food Consumption From Khatlon Province, Tajikistan.","authors":"Sarah M L Pechtl, Mohru Mardonova, Tanzila Ergasheva, Isabel B Lambrecht","doi":"10.1111/mcn.70133","DOIUrl":"https://doi.org/10.1111/mcn.70133","url":null,"abstract":"<p><p>Tajikistan faces significant food insecurity and multiple forms of malnutrition in its population, with women particularly at risk. Social norms related to gender and intrahousehold hierarchy are pervasive. Yet, how gender impacts dietary intake in Tajikistan remains to be studied. Understanding this mechanism is critical to develop adequate strategies for effective, equitable progress in mitigating malnutrition and food insecurity. An explanatory sequential mixed-methods study was conducted to assess the extent and identify the drivers of gender-based and intrahousehold differences in dietary diversity in Khatlon Province, Tajikistan. Predictors of dietary diversity were statistically assessed using quantitative survey data from 1704 adults who participated in the 2023 USAID/IFPRI Population-Based Survey. Qualitative data from 12 focus group discussions, 19 individual interviews, and 21 Photovoice interviews were analyzed using reflexive thematic analysis to further ascertain and understand these drivers. Gender was identified as a predictor of dietary diversity in both quantitative and qualitative findings. Women reported lower dietary diversity than men, even within in the same household. Gender norms contribute to unequal food distribution and opportunities to consume food away from the household. Expressing social values such as respect during mealtimes and perceptions of dietary needs prioritize men and children over women in consuming foods deemed more nutritious (e.g., meat). This study highlights the importance of considering household dynamics and gender roles in equitably addressing food and nutrition insecurity and malnutrition. Mitigating malnutrition in Tajikistan will necessitate gender equity-focused social behavior change interventions targeting women and men across different generations.</p>","PeriodicalId":51112,"journal":{"name":"Maternal and Child Nutrition","volume":" ","pages":"e70133"},"PeriodicalIF":2.6,"publicationDate":"2025-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145642068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}