Biodiversity loss through cropland displacement for urban expansion in China.

As a result of rapid economic development, urban expansion reduced the cropland in China. To secure the food supply, cropland displacement to maintain the quantity and quality of cropland has been implemented. Here, we quantified the biodiversity losses due to cropland displacement resulting from urban expansion from a telecoupling perspective in China from 1980 to 2020. A comprehensive multimodel assessment demonstrated that the indirect biodiversity losses due to cropland displacement resulting from urban expansion were approximately 2 to 3 times higher than its direct biodiversity losses, at a total loss of approximately 0.6 % to 1.0 %, as indicated by three biodiversity indicators. Displaced cropland with a higher biodiversity cost but lower cropland productivity is the main reason for the excessive indirect losses and suggests that socioecological processes may be detrimental to the synergistic benefits of the UN Sustainable Development Goal (SDG) for food security and terrestrial biodiversity. This study also identified source-sink hotspots for indirect biodiversity losses, which can contribute to improving biodiversity conservation, optimizing the spatial distribution of cropland and thus enhancing socioecological system sustainability.

Food insecurity and associated factors among households with under-5 children in slum communities in Ibadan, Nigeria.

INTRODUCTION: Food insecurity is a leading cause of childhood morbidity and mortality. This study assessed the prevalence of household food insecurity and its associated factors among under-5 children in Ibadan, Nigeria. METHODS: This was a cross-sectional household survey of 1,027 under-5 children and their caregivers in urban and rural slums in Ibadan. We used an electronic interviewer-administered, semi-structured questionnaire adapted from the Nigeria Demographic Health Survey and Household Food Insecurity Access Scale was used to report sociodemo-economic characteristics, food insecurity, and anthropometric measurement. The household food insecurity scale consisted of nine questions graded from 0 (Never) to 3 (Often) computed to determine the presence of food insecurity. Nutrition indices were computed, and the results were classified according to World Health Organization 2006 cut-off points. Chi-square tests were used to assess associations between food insecurity and the independent variables. Binary logistic regression analyses were conducted to identify the predictors of food insecurity (α = 0.05). RESULTS: The mean ages of the caregivers and under-5 children were 31.7 ± 7.47 years and 34.49 ± 15.8 months respectively. Overall, 530 (51.7%) children were females, and 765 (74.5%) had normal weight for height. In all, 195 (19.0%) households had food insecurity, while 832 (81.0%) households had food security (Chi-square = 103.364, p = < 0.001). Under-5 children living in urban slums were seven times more likely to experience household food insecurity compared to those in rural slums (AOR = 6.859, 95%CI = 4.524-10.509, p = < 0.001). DISCUSSION: Household food insecurity was more prevalent in urban slums. Strengthening of the school health program would help identify children with nutritional deficits, and improve the overall health status of children living in slum communities.

Food and nutrition public establishments: assessment of the food environment.

This article aims to assess the community food environment around areas with and without Food and Nutrition Public Establishments (FNPE). Cross-sectional study carried out in Belo Horizonte, Brazil. The unit of analysis was the buffer (500m) around the FNPE and the census tracts without FNPE. The investigated establishments should market food for consumption at home and be located within the buffer of the areas with and without FNPE. Data collection performed by direct observation (active search) in August to October 2019. Data collected were location and type of commercial establishments, the density of the establishments was calculated. Descriptive analysis, spatial distribution (Kernel estimator) and Nearest Neighbor analysis were performed. Of the evaluated establishments, 60.5% were in the areas without FNPE and 39.6% in the areas with FNPE, showing a random distribution pattern. Of these, 24.2% were convenience stores and bakeries, 21.0% butcher stores, and 19.0% street markets. Seven FNPE were close to commercial establishments. There were fewer establishments around the FNPE, with convenience stores and bakeries predominating.

Rising food prices and poverty in Pakistan.

An upsurge in global food prices in 2008 led to significantly higher food prices across the developing world. Global commodity prices have since declined but still remain volatile, but at the same time local food prices remain high in many countries. This study examines the potential impacts of the rise in food prices on poverty-income based poverty and calorie-based poverty- focusing on Pakistan, and its rural and urban areas. For this purpose, we used HIES data collected in three waves 2005-06, 2007-08 and 2010-11. Price elasticities are computed using binary Logistic regression method. The study results show that price of wheat, rice, milk, meat, fruit, pulses appear to distinguish the status of a household. Price elasticities shows that urban households are hit harder than rural households in calorie-poverty model. Overall, rising food prices are likely to lead higher poverty in Pakistan, as the negative impact on net consumers outweighs the benefits to producers. Therefore, effective strategy for eliminating poverty is far more concerned with price increases. Safety net programs can be more effective, but geographic targeting and other investments to strengthen safety nets are necessary to ensure that fewer people are affected by future crises. Government policies oriented towards relieving the food price pressure on the Pakistani poor should aim at lowering the prices of wheat, rice, eggs, oil, milk, and chicken.

A 5-year review of prevalence, temporal trends and characteristics of individuals experiencing moderate and severe food insecurity in 34 high income countries.

BACKGROUND: Due to the relatively low numbers of households in high income countries experiencing food insecurity most studies conflate the levels of severity, which masks between- and within-country differences. This study aims to describe the characteristics of individuals living in high income countries who were moderately or severely food insecure and investigates temporal trends in prevalence. It assesses these characteristics in comparison to those who were food secure. METHODS: This is a secondary analysis of data collected by the FAO Voices of the Hungry between 2014-2018. The data were collected during the annual Gallup World Polls of nationally representative samples using the Food Insecurity Experience Scale. Data from 34 highly developed, wealthy countries were analysed. The age, gender, income, education, area of residence and household structure of individuals experiencing moderate/severe food insecurity (FI), and severe FI, were compared using ANOVA, Welch's F, Pearson's Chi-square, and Linear-by-Linear Association, dependent on the variable of interest. Hierarchical cluster analysis was used to group countries according to their prevalence of moderate/severe FI, and severe FI. RESULTS: Overall, 6.5% of the weighted sample were moderately/severely food insecure (M-SFI), while 1.6% were severely food insecure. M-SFI individuals were present in all 34 countries, in all years and across all education levels and income quintiles. The proportion of individuals experiencing moderate/severe FI varied between years and countries. Fifteen countries showed a significant downward temporal trend in prevalence of moderate/severe FI (p < 0.001), while three countries demonstrated an increasing temporal trend driven by increasing prevalence in those aged 65 years or less (p < 0.001). Comparing individuals experiencing moderate versus severe FI showed over-representation of males, single adult households and lower household income in the severe FI group. CONCLUSIONS: Individuals across all income, education and age categories living in high income countries are experiencing moderate/severe food insecurity, but with higher prevalence in those experiencing more disadvantage. Over the study period some countries experienced escalating while others demonstrated decreasing moderate/severe FI trends. This comparison of countries with similar economic and human development indices highlights an opportunity to investigate subtle variations in social, economic and education policy that could have profound impacts on food insecurity.

Household food security access and dietary diversity amidst COVID-19 pandemic in rural Nepal; an evidence from rapid assessment.

BACKGROUND: The COVID-19 pandemic led to surging concerns about food insecurity status throughout the world. In response to global and national concerns on food and nutrition security, this study aimed to examine the prevalence and determining factors of household food insecurity and dietary diversity among people from selected rural municipalities of Lalitpur district, Nepal. METHODS: A community-based cross-sectional study was conducted among 432 households. Pretested structured questionnaires were used to collect socio-demographic characteristics of the participants, household income; influence of COVID-19 on their income and livelihood, household's access to food and dietary diversity. Food insecurity was measured using the Household Food Insecurity Access Scale (HFIAS) and the Household Dietary Diversity Score (HDDS). A multivariable analysis was done using binary logistic regression model following a bivariate analysis to assess the association between the dependent and independent variables. RESULTS: More than one-third (36%) of the households reported some form of food insecurity. The overall mean score for Household Dietary Diversity Score (HDDS) was 6.0 (±1.1). Multivariable logistic regression analysis showed that participants aged 41-64 years (aOR = 0.35, 95% CI: 0.21-0.59), those over 64 years (aOR = 0.22, 95% CI: 0.07-0.66), as well as those in service occupation (aOR = 0.22, 95% CI: 0.06-0.77) were associated with lower odds of HFIAS. Conversely, Participants belonging to a disadvantaged ethnic group (aOR = 2.73, 95% CI: 1.23-6.07), having no education (aOR = 3.70, 95% CI: 1.16-11.71) or primary education (aOR = 3.67, 95% CI: 1.23-9.89), and those suffering from chronic illness (aOR = 3.12, 95% CI: 1.53-6.35) were associated with higher odds of HFIAS. As for HDDS, participants aged 41-64 years (aOR = 0.48, 95% CI: 0.28-0.83) were associated with lower odds of HDDS, while participants having no education (aOR = 10.05, 95% CI: 4.05-24.01) were associated with significantly higher odds of HDDS. CONCLUSION: Owing to the pandemic, our study showed a substantial prevalence of food insecurity among diverse community residing in rural outskirts of Kathmandu Valley, particularly among disadvantaged ethnic group and people with lower level of education. Interventions targeting these particular groups may help in improving HFIAS and HDDS among them during emergencies.

BMI and the Food Retail Environment in Melbourne, Australia: Associations and Temporal Trends.

Research into the link between food environments and health is scarce. Research in this field has progressed, and new comprehensive methods (i.e., incorporating all food retail outlets) for classifying food retail environments have been developed and are yet to be examined alongside measures of obesity. In this study, we examine the association and temporal trends between the food environment and BMI of a repeated cross-sectional sample of the adult population between 2008 and 2016. Methods: Food retail data for 264 postal areas of Greater Melbourne was collected for the years 2008, 2012, 2014, and 2016, and a container-based approach was used to estimate accessibility to supermarkets, healthy and unhealthy outlets. Data on BMI for postal areas was obtained from the Victorian Population Health Survey (n = 47,245). We estimated the association between the food environment and BMI using linear mixed models. Results indicated that BMI increased as accessibility to healthy outlets decreased by up to -0.69 kg/m2 (95%CI: -0.95, -0.44). BMI was lower with high and moderate access to supermarkets compared to low access by -0.33 kg/m2 (-0.63, -0.04) and -0.32 kg/m2 (-0.56, -0.07), and with high access to unhealthy outlets compared to low access (-0.38 kg/m2: -0.64, -0.12) and moderate access (-0.54 kg/m2: -0.78, -0.30). Conclusion: Our results show that increasing access and availability to a diverse range of food outlets, particularly healthy food outlets, should be an important consideration for efforts to support good health. This research provides evidence that Australia needs to follow suit with other countries that have adopted policies giving local governments the power to encourage healthier food environments.

Development of a Scoring Tool for Australian Rural Food Retail Environments.

Current tools scoring the healthiness of food retail outlets do not reflect outlets found in rural locations. This study aimed to adapt pre-existing Australian scoring tools to represent non-metropolitan areas. Rural nutrition experts were identified, and a modified Delphi technique was used to adapt two pre-existing, food-scoring tools in five iterative stages. Stages included identifying all relevant outlets, providing a description and score for each, ensuring consistency between outlet scores and pre-existing, metro-centric tools, and providing instructions for correct use. Six rural nutrition experts were identified and engaged in the modified Delphi technique. The final tool consisted of 12 categories of food outlets and listed 35 individual outlets. Consistent with pre-existing Australian tools, scores ranged from +10 to -10 and included descriptions reflective of rural retail outlets. Scores were based on whether the majority of foods offered within the outlet were consistent with foods recommended in national health guidelines. The developed tool was designed to accommodate the diverse nature of food retail outlets found in non-metropolitan areas. This study assists in explaining the link between the food environment and health in populations living rurally.

Household food insecurity during the COVID-19 pandemic and associated socioeconomic demographic factors in Papua New Guinea: evidence from the Comprehensive Health and Epidemiological Surveillance System.

INTRODUCTION: The COVID-19 pandemic had an unprecedented impact on global food security, but little is known about the impact on food security at the household level. We examined the prevalence and socioeconomic demographic factors for household food insecurity during the COVID-19 pandemic in Papua New Guinea. METHODS: Household socioeconomic demographic data from the Comprehensive Health and Epidemiological Surveillance System were collected from six main provinces in 2020 (37880 participants) and compared with the 2018 data (5749 participants). The prevalence of household food insecurity was estimated and stratified by household socioeconomic demographic characteristics. Multinomial logistic regression was conducted to estimate adjusted OR (aOR) and 95% CI of risk factors. RESULTS: The overall prevalence of household food insecurity increased from 11% in 2018 to 20% in 2020, but varied across provinces, with the highest level reported in Central Province (35%) and the lowest level in East New Britain Province (5%).Food shortages were 72% less likely among urban residents than those living in rural areas (aOR 0.28 (95% CI 0.21 to 0.36)). The risk of food insecurity was 53% higher among adults aged 25+ years with primary education (grades 3-8) than those with university education (aOR 1.53 (95% CI 1.09 to 2.13)). People from households in the poorest wealth quintiles were 80% more likely to report food shortage than those from the richest wealth quintile (aOR 1.78 (95% CI 1.29 to 2.45). CONCLUSION: The study provides evidence to develop policy and intervention to deal with food insecurity in emergency situations in the future.

The big business of sustainable food production and consumption: Exploring the transition to alternative proteins.

A widespread sense of the unsustainability of the food system has taken hold in recent years, leading to calls for fundamental change. The role of animal agriculture is central to many of these debates, leading to interest in the possibility of a "protein transition," whereby the production and consumption of animal-derived foods is replaced with plant-based substitutes or "alternative proteins." Despite the potential sustainability implications of this transition, the developmental trajectories and transformative potential of the associated technologies remain underexplored. This article sheds light on these dynamics by addressing two questions: 1) how have alternative protein innovations developed over the past three decades, and 2) what explains their more recent acceleration? To answer these questions, the article makes an empirical analysis of four alternative protein innovations, and the partial destabilization of the animal agriculture system between 1990 and 2021, guided by the multi-level perspective. The analysis highlights an intensification in corporate engagement with alternative protein development and diffusion. This intensification is judged to be consistent with the beginnings of a wider corporate reorientation, occurring alongside a rise in pressures on the animal agriculture system, notably an increasing scientific consensus and societal awareness of the links between climate change and meat-intensive diets. The paper demonstrates how differences in technological maturity across the niche innovations have resulted in potentially transformative pressures, which are consistent with an emerging sustainability transition, manifesting differently in terms of the extent of diffusion of the alternative protein niches.

Developing the agroecological niche in Nicaragua: The roles of knowledge flows and intermediaries.

Supporting transitions to sustainable, resilient agri-food systems is important to ensure stable food supply in the face of growing climate extremes. Agroecology, or diversified farming systems based on ecological principles, can contribute to such systems. Based on a qualitative case study of Nicaragua, a forerunner in agroecology, this paper unpacks an ongoing transition to agroecology, focusing on how the transition has been shaped by knowledge flows and intermediary actors. Using a niche development framework based on knowledge processes, we analyze the growth of the agroecological niche in Nicaragua over three phases of niche development. The findings show how knowledge processes' emphases have shifted over time, as have functions enacted by intermediaries. Dedicated, diversified intermediaries have been key in creating momentum for agroecology, as have individual actors moving between niche and regime. Agency in niche development has come from both niche and regime actors. Finally, we find that Nicaragua's transition to agroecology has been ambiguous: While the niche has succeeded in changing the mainstream selection environment to its favor in some arenas, transition dynamics lag in others. Drawing lessons from this ambiguity, we suggest entry points for broader systems change, such as market stimulation, value chain development, phase-out policies, and supportive policy in related arenas. We also point out possible actions for niche actors such as integration of financial and commercial actors into niches and creation of dedicated market-focused intermediaries. Our results provide evidence of an ongoing transition and action points for supporting niche development in (sustainable agri-food) transitions around the globe.

Deep histories of food systems in eastern Africa and current patterns of food insecurity.

Central to successful attempts to address food insecurity in Africa are understandings of the historical contexts and meanings of food systems. However, much research into current challenges remains separated from deeper agrarian and alimentary histories. Using qualitative data on food within the historical record alongside the wider multidisciplinary record of the past, this Review traces long-term patterns and drivers of continuity and change in eastern African food systems. Considerable dynamism in place-based and regional trends in the integration of new foodstuffs, agricultural commercialization, resistance and transformations in diets, and diversification and specialization as livelihood strategies is found-each of which emerged within imbricated contexts of African agency, transoceanic exchanges and colonial incursions. Such historical data provide important deep-time perspectives for interventions to address modern food insecurity, as demonstrated through examples of agricultural value chains, 'under-utilized' crops and major infrastructure projects in southeast Africa.

A systematic review of the direct and indirect COVID-19's impact on food security and its dimensions: pre-and post-comparative analysis.

BACKGROUND: Since its emergence, the COVID-19 pandemic has compromised the food security both directly by impacting food supply chain and indirectly by overwhelming the individual health and/or personal financial situation. The overarching aim of the current study is to assess aspects of the food security crisis that have arisen due to COVID-19 and to identify which, if any, food security dimensions were specifically compromised. METHODS: Primary research articles were initially identified through four online databases (Scopus, PubMed, Google Scholar, and Web of Science), with the references of each paper then also reviewed for additional article. The food security status of individuals and the wider community, both before and after the emergence of COVID-19, were examined. RESULTS: Of the 2,057 studies initially identified, a total of ten were included in the final review. The included studies confirmed that COVID-19 had substantially impacted food security, with individuals, households and the wider community experiencing food insecurity. Nine of the included studies aruged that the food accessibility dimension was the most compromised. CONCLUSION: To address the identified direct and indirect food security issues associated with COVID-19, it is proposed that a combination of prevention practices and proactive food security activities is required. Integrating food security interventions, supporting and facilitating food security resilience, and conducting further studies on the food security of COVID-19 are also recommended.

Use of co-production to explore food insecurity in adults with severe mental illness living in Northern England: a mixed-methods study.

BACKGROUND: People living with severe mental illness experience premature mortality from diet-related preventable illnesses. Yet, little research focuses on food insecurity with adults with severe mental illness. This coproduced study aimed to understand the experiences of adults with severe mental illness and food insecurity and strategies to help. METHODS: Following a pragmatism philosophical foundation, we undertook a mixed-methods study involving a survey (online and paper versions) and one-to-one semi-structured interviews (online and telephone) during March 7 to Dec 16, 2022. We recruited participants via existing severe mental illness service user groups and social media in Northern England. Eligible participants were adults (≥18 years) self-reporting a diagnosis of severe mental illness. Ethics approval was obtained from Teesside University and the Health Research Authority (Reference: 22/NR/0010; IRAS ID: 306281), with informed consent given. The target sample size, accounting for a typical survey response rate for people with severe mental illness of 10-20%, was 135. A target sample of 20 interviews was agreed to capture a range of views. Food insecurity was defined as the lack of financial resources needed to ensure someone has reliable access to enough food to meet their dietary, nutritional, and social needs. It is sometimes called food poverty. Quantitative data were analysed using descriptive statistics and binary logistic regression and qualitative data using thematic analysis. FINDINGS: 135 participants completed the survey (mean age 44·67 years [SD 14·1]). Participants were predominantly male (53%, n=72), white (87%, n=117), and from the Yorkshire region (50%, n=68). Overall, prevalence of food insecurity was 50·4% (n=68). Discussion across 13 interviews found food insecurity being a long-rooted experience, including familial and intergenerational experiences of food insecurity: "I grew up… with this insecurity around food" (P002). Recommendations for tackling food insecurity centred on food banks, increasing accessibility, and reducing stigma: "I would like to get more information on where the centres are..." (P006) and "I was referred to, erm, a foodbank … but it's still the stigma that's attached to it." (P002). INTERPRETATION: We found a higher prevalence of food insecurity in this study than in the general population (being 15%), yet limited research with adults with severe mental illness perpetuates food insecurity intergenerational injustices. Food insecurity should be eliminated. However, in the meanwhile, there should be widespread easy access to food banks offering nutritional foods. Limitations of this research include not reaching target sample size and a lack of ethnic diversity. FUNDING: National Institute of Health and Care Research (NIHR) Research for Patient Benefit.

Food insecurity and diet quality in households accessing food membership clubs in Wessex: a mixed-methods study.

BACKGROUND: Food membership clubs that charge a small fee for a set number of items are in place in Wessex to address food insecurity (inadequate reliable access to sufficient affordable, nutritious food). These clubs incorporate longer-term solutions such as budgeting support, benefit maximisation, and cooking skills. The Wessex DIET project was established to measure acceptability and impact of these clubs. Given the paucity of evidence on the prevalence of food insecurity in those accessing such clubs, we aimed to quantify food insecurity and assess diet quality and wellbeing at recruitment. METHODS: In this mixed-methods study, we recruited individuals accessing food clubs in Wessex from March 31 to July 31, 2022. Participants provided informed consent and completed a survey (paper or online) at recruitment that collected data on diet and health. We used the modified six-item US Department of Agriculture (USDA) food security survey module. Follow-up surveys were administered after use of clubs (planned for 3, 6, and 12 months). Participants were invited to participate in a semi-structured interview. We used data from the baseline survey to quantify food insecurity and assess diet quality and wellbeing at point of first access to food clubs. FINDINGS: Of 97 participants recruited, five (5%) were aged 18-24 years, 15 (15%) 25-34 years, 48 (49%) 35-54 years, 13 (13%) 55-64 years, and nine (9%) 65 years and older (seven [7%] did not report their age). 69 (71%) participants were female and 23 (24%) were male (five [5%] did not respond to this question), 79 (81%) were White, and 65 (67%) reported having at least one dependent child. 55 (57%) reported skipping or cutting size of meals because there was not enough money for food. Food security status was calculated in 74 participants who answered all six questions of the USDA module, with 30 (41%) reporting low food security and 32 (43%) reporting very low food security. 31 (32%) of 97 participants reported rarely or never eating fruit, with 23 (24%) eating fruit at least once a day. The most common reported frequency of vegetable consumption was 2-3 times a week (26, 27%) and 4-6 times a week (23, 24%). 12 participants agreed to an interview. The clubs were well received, with participants noticing an improvement in their diet and finances. INTERPRETATION: This study highlights the high prevalence of food insecurity in those accessing food clubs in Wessex, which is expected in a population using food aid, and positive reflections from participants regarding their diet quality after using this service. Findings might not be generalisable nationally. Follow-up will assess impact of the clubs on food insecurity, diet quality and wellbeing, contributing to the evidence base of the effectiveness of food clubs to address these outcomes. FUNDING: National Institute for Health and Care Research (NIHR) Applied Research Collaboration Wessex.

Food environment near schools in the largest Brazilian metropolis: analyses and contributions based on census data.

We aimed to investigate and compare the distribution of establishments that sell food near municipal, state, and private schools in the municipality of São Paulo, Brazil. This cross-sectional, exploratory, and census study was conducted in 3,121 schools. Circular buffers were traced around schools and concentrations or dispersions of food stores (in absolute numbers and densities) were analyzed. A p-trend was calculated to analyze how food stores density behaved as the buffer radius distance increased. Stratified regression models were built to analyze the characteristics of the food environment. Snack bars and street vendors are the most common types of establishments surrounding schools. Some categories of food stores are concentrated (such as candy stores around municipal and private schools, mini markets around municipal schools, and snack bars around private schools), whereas others (such as super and hypermarkets and fruit and vegetable stores) are dispersed around public schools. The food environment around schools shows differences regarding the instance that administers them and private schools have more food stores around them. Poor-quality food environment around schools exposes students to risk factors regarding excessive unhealthy food consumption.

Regional disparities in food security and depression among single-person households in the Republic of Korea.

BACKGROUND: Single-person households constitute over 40% of all households in the Republic of Korea and are more vulnerable to food insecurity and depression than multi-person households. There is a lack of research on examining whether regional characteristics are associated with the degree of food insecurity and depression among single-person households. This study aimed to examine the regional disparities in food security and depression among single-person households in the Republic of Korea. METHODS: A total of 227,873 adults from the 2019 Korean Community Health Survey was included in the analysis. According to population density and poverty rate, the residence of the participants was classified into four regions: metropolitan areas with high population density were classified into areas with low poverty rates (Region 1) and high poverty rates (Region 2), and provinces with low population density were classified into areas with low poverty rates (Region 3) and high poverty rates (Region 4). Using a single item of household food security, those who had experienced a lack of food due to financial difficulties over the past year were classified as food insecure. Depression was measured using the Patient Health Questionnaire-9. Odds ratios and 95% confidence intervals (CI) for the risk of food insecurity and depression according to regional characteristics were calculated after adjusting for potential confounding variables. RESULTS: After adjusting for confounding variables, single-person households in regions with high population density, Regions 1 and 2, had 1.16 times (95% CI = 1.04-1.30) and 1.43 times (95% CI = 1.27-1.61) higher odds of food insecurity, respectively, compared to those in Region 4. Single-person households in regions with low poverty rates, Regions 1 and 3, had 1.54 times (95% CI = 1.34-1.77) and 1.21 times (95% CI = 1.01-1.46) higher odds of depression, respectively, than those in Region 4. Among those who lived alone, the middle-aged, having low income, receiving livelihood benefits, or having a low educational attainment had higher odds of experiencing both food insecurity and depression than their counterparts. CONCLUSIONS: As the risk of food insecurity and depression in single-person households differs according to regional characteristics, local governments need to implement policies for single-person households in consideration of these distinct characteristics.

Undernutrition in older children and adolescents in peri-urban Zambia.

Background: Adolescents make up roughly a quarter of the population in Zambia; however, most nutrition-related programming is targeted at the under-five population. Understanding the scale of undernutrition in older children and adolescents is fundamental to alleviating food insecurity and addressing undernutrition across all age groups. Methods: A cross-sectional survey was performed in four low-income, peri-urban compounds in Chilanga District which included anthropometric measurements of children between ages 6 months-19 years and a household-level diet diversity and food security questionnaire. Wasting was used for children under 5 and thinness for children 5-19 years. Descriptive analysis and multivariate logistic regression were conducted to quantify the prevalence and distribution of malnutrition and understand the impact of food security. Results: We surveyed 393 households and 1,004 children between the ages of 6 months and 19 years. Children aged 6-9 years had the highest prevalence of severe thinness (5.2%) and adolescents (10-19 years) had the highest rates of moderate thinness (6.5%). Across all age groups, more than 75% of children were in households that worried about running out of food in the previous month. 24.9% of adolescents and 28.4% of older children were in households were more likely to go a whole day without eating compared to 16.9% of children under 5. Conclusion: Our survey indicated that malnutrition in adolescents and older children living in Chilanga district was comparable to those under 5. Interventions to address undernutrition must be targeted at older children and adolescents in order to ameliorate this burden.

Coping Strategies to Mitigate Food Insecurity at Household Level: Evidence From Urban Setting in Addis Ababa, Ethiopia.

Food insecurity is the limited or uncertain ability of households to acquire nutritionally adequate and safe foods in socially acceptable ways. There is paucity of empirical evidence on household food insecurity, level of expenditure, and coping strategies in urban setting of Ethiopia. The objective of this paper is to examine the coping strategies of food insecure households in an urban area setting of Addis Ababa, Ethiopia. This study is based on data collected from 632 mothers interviewed in 2017. Multi-stage sampling techniques were carried out to identify the study unit from selected sub-cites. From each sub-city, proportion to population sampling was applied to obtain the sample size. Simple random sampling method was used to select districts in each sub-city. Multivariable logistic regression model was used to identify factors associated with food security status. The most common coping strategies households used in response to food insecurity were: rely on less preferred and less expensive foods, borrow food, or borrow money to buy food and purchase of food on credit. Food insecure households were 3 times more likely to rely on help from a relative or friend outside the household [AOR = 2.37; 95% CI: (1.01, 5.53); P < .047] compared to food secure households. Similarly, food insecure households were approximately 4 times more likely to limit portions at mealtimes [AOR = 3.55; 95% CI: (1.36, 9.30); P < .010] compared to food secure households. Furthermore, households with no access to a bank or microfinance savings account were 3 times [AOR = 2.62; 95%: (1.21, 5.66); P < .014] more likely to become food insecure compared to those with access to financial services. Households rely on less preferred cheap foods or lending to cope with food insecurity in urban settings of Ethiopia. Encouraging households to practice urban gardening, social protection through integrated national safety net programs, and improving access to microfinance services would be vital to address food insecurity among urban households of the country to bring successful social and economic development.

Association of Food Insecurity Status with Resolution of Mental Health Conditions in Children and Adolescents.

OBJECTIVE: Adverse consequences related to unresolved mental health issues underscore the importance of identifying factors that impede resolution of mental health conditions. Although studies have identified food insecurity as a risk factor for the diagnosis of mental health conditions, its impact on unresolved mental health issues is not understood. The objective of this study is to investigate the association of food insecurity status with resolution of depression, anxiety, and behavioral/conduct problems in children and adolescents. METHODS: Using National Survey of Children's Health 2016 to 2019, logistic regression analyses examined the relationship of food insecurity status with the diagnosis and resolution of depression, anxiety, and behavioral/conduct problems in children (aged 5-11 years) and adolescents (aged 12-17 years). RESULTS: Mild, moderate, and severe food insecurity were significantly associated with higher odds of being diagnosed with depression, anxiety, and behavioral/conduct problems. Severe food insecurity was significantly associated with higher odds of unresolved behavioral/conduct problems in children (adjusted odds ratio [aOR], 10.09; 95% confidence interval [CI], 2.99-34.04), after adjustment for demographic covariates. In adolescents, severe food insecurity was significantly related to greater odds of unresolved depression (aOR, 6.64; 95% CI, 2.13-20.70), anxiety (aOR, 3.27; 95% CI, 1.31-8.14), and behavioral/conduct problems (aOR, 5.57; 95% CI, 2.09-14.85). These associations of severe food insecurity with unresolved mental health conditions were significant even after adjustment for the receipt of mental health care. Mild and moderate food insecurity were not significantly associated with unresolved mental health conditions. CONCLUSION: The findings suggest that severe food insecurity is associated with increased odds of unresolved mental health conditions in children and adolescents. This study highlights the importance of tailoring interventions to provide appropriate mental health services for children and adolescents from severely food insecure households.