Community Level Research Articles

Cd indirectly affects the structure and function of plankton ecosystems by affecting trophic interactions at environmental concentrations

The toxic effects of potentially toxic elements have been observed at low concentrations; however, many studies have focused on single-species toxicity testing. Consequently, it is imperative to quantify toxicity at the community level at environmental concentrations. A microcosm approach was employed in conjunction with the Lotka-Volterra model to ascertain the impact of environmentally relevant concentrations of cadmium (Cd) on plankton abundance, community function, and stability. The results demonstrated that Cd led to a reduction in the abundance of Daphnia magna, yet unexpectedly resulted in an increase in the abundance of Brachionus calyciflorus and Paramecium caudatum. Additionally, Cd was observed to impede primary productivity, metabolic capacity and the stability of the planktonic community. Further model analyses revealed that the environmental concentration of Cd directly reduced intrinsic growth rates and intraspecific interactions. In particular, we found that the predation effects of Daphnia magna on Brachionus calyciflorus were significantly weakened. The findings of this study offer quantitative evidence that Cd exposure exerts an indirect influence on the structure and functioning of plankton ecosystems, mediated by alterations in trophic interactions. The findings indicate that the impact of environmental concentrations of potentially toxic elements may be underestimated in single-species experiments.

Analysing the behaviour change techniques in an effective food literacy program to inform future program design.

Food literacy programs aim to improve food related skills and knowledge and are selected Governments as a strategy to address dietary intakes at a community level. The purpose of this research is to identify behaviour change techniques in a food literacy program, which were assessed by the achievement of participant goals related to food literacy and dietary behaviour changes. Consensus methods were applied to map behaviour change techniques to an adult food literacy program. A second phase investigation applied content analysis of participant process evaluation data (collected between 2016 and June 2021) to align target behaviours and behaviour change techniques. Chi-square and ANCOVA were used to assess the statistically significant demographic characteristics, food literacy, and dietary behaviour scores for participants who set goals and recorded changes. A total of 4697 program participants provided evaluation data from the 4-week food literacy program. Participants who set goals and made changes were statistically more likely to have higher food literacy factor scores (p < 0.001) and fruit serves (p = 0.004). Statistical analysis showed that participants were more likely to have set goals and recorded changes if they were female (p < 0.001), older (p < 0.001), higher education level (p < 0.001), had a higher socioeconomic status (p = 0.049), lived with children (p = 0.014), were born in Australia (p = 0.019), or did not identify as Indigenous (p < 0.001). The behaviour change technique mapping process identified nine techniques used weekly and a total of 22 techniques used over the entire 4 week program curriculum. This is the first Australian study to link the contribution of behaviour change techniques to food literacy and dietary behaviour change in an established effective food literacy program. Knowing the behaviour change techniques associated with effective programs will facilitate replication of effective interventions.

Treatment-seeking behaviours of patients with tungiasis in endemic areas of Homa Bay County, Kenya: a mixed-methods study

BackgroundTungiasis, an ectoparasitic disease caused by sand fleas, causes suffering to millions of people in the tropics. Although the Kenyan National Policy Guidelines list tungiasis treatments as including disinfectants, flea repellents, and botanical oil, the insufficient knowledge and financial constraints of affected communities have led to neglect and inappropriate self-treatment. Current reports show insignificant progress on educational activities at the community level. Therefore, we investigated community residents’ treatment-seeking behaviour concerning tungiasis, using an endemic area of Kenya as the research setting.MethodsA cross-sectional mixed-methods design was employed. Quantitative data were collected from the participants—410 adults who had experienced tungiasis—using a questionnaire, while qualitative data were collected from 20 older adults to 10 medical staffs using semi-structured individual interviews. The study was conducted in two sub-counties of Homa Bay County, Kenya.ResultsFactors significantly correlated with using non-guideline-listed treatments for tungiasis were ‘not knowing the causse of tungiasis’, ‘not seeking treatment from healthcare facilities and traditional healers’, and ‘wait and see to prevent infection in non-affected members’. The interviews with the older adults revealed 19 self-treatment options for tungiasis, and 40% of the participants opted for self-removal using sharp objects. Only two of these treatments were listed in the guidelines. The most frequently mentioned reason for using a self-treatment option was ‘Someone else’s idea’. The most frequently mentioned reason for choosing the best self-treatment option was ‘Effectiveness’. Interviews with medical staff revealed 11 treatment options; only five of these treatments are listed in the guidelines. The most frequently mentioned reason for selecting/using the treatment was ‘Supply situation’.ConclusionsResidents’ socioeconomic factors, cultural factors, and access to appropriate treatment, as well as knowledge of medical staff were significant factors that influenced the residents’ tungiasis treatment-seeking behaviours. This study provides feasibility and baseline data to establish an effective, safe, and sustainable treatment for tungiasis.

Community-Based Health Information Systems in Africa: A Scoping Review of Data Generation, Utilization, and Community Empowerment

Introduction The community-based health information system (CBHIS) is a vital component of the community health system, as it assesses community-level healthcare service delivery and generates data for community health programme planning, monitoring, and evaluation. CBHIS promotes data-driven decision-making, by identifying priority interventions and programs, guiding resource allocation, and contributing to evidence-based policy development. Objective This scoping review aims to comprehensively examine the use of CBHIS in African countries, focusing on data generation, pathways, utilisation of CBHIS data, community accessibility to the data and use of the data to empower communities. Methods We utilised Arksey and O'Malley's scoping review methodology. We searched eight databases: PubMed, EMBASE, HINARI, Cochrane Library, Web of Science, Scopus, Google Scholar, and grey literature databases (Open Grey and OAIster). We synthesised findings using a thematic approach. Results Our review included 55 articles from 27 African countries, primarily in Eastern and Southern Africa, followed by West Africa. Most of the studies were either quantitative (42%) or qualitative (33%). Paper-based systems are primarily used for data collection in most countries, but some have adopted electronic/mobile-based systems or both. The data flow for CBHIS varies by country and the tools used for data collection. CBHIS data informs policies, resource allocation, staffing, community health dialogues, and commodity supplies for community health programmes. Community dialogue is the most common approach for community engagement, empowerment, and sharing of CBHIS data with communities. Community empowerment tends towards health promotion activities and health provider-led approaches. Conclusion CBHIS utilises both paper-based and electronic-based systems to collect and process data. Nevertheless, most countries rely on paper-based systems. Most of the CBHIS investments have focused on digitisation and enhancing data collection, process, and quality. However, there is a need to shift the emphasis towards enabling data utilisation at the community level and community empowerment.

Multidimensional human wellbeing in periodic octopus closures in Zanzibar

ABSTRACT Our study of periodic octopus closures helps to fill an empirical gap in community-based marine protected area (MPA) research on socially-diverse multidimensional wellbeing impacts. Human wellbeing provides a more meaningful and holistic measure of social impacts than previous economic measures while recognising equity- evidence that ultimately ensures support and enables long-term success in conservation. We trace the flow of benefits, costs and burdens from closures at three sites in Zanzibar and explore how different types of fishers and traders perceive impacts. This is done at a personal, livelihood group and village or community level, as well as in terms of ecosystem effects. Storytelling, photo-elicitation tasks and focused discussions prioritized participants’ emic descriptions and understandings of closures. We iteratively, qualitatively coded data using a three-dimensional (material, relational and subjective) social wellbeing approach. Despite different conditions and histories at the three sites, participants identified similar wellbeing attributes as affected by the closure. Themes included social conflict, non-compliance, income, education, food/nutrition, and communal benefits reflecting recent literature on MPAs and human wellbeing. Perceptions of inequity cross cut all three dimensions and gender was a strong dimension that emphasized procedural and distributional inequity between different types of livelihood groups e.g. small-scale traderwomen and male skindivers. Material wellbeing losses due to poor market environments highlighted how better alignment is needed between periodic closure activities and resulting value chain dynamics. Opening events intensely impacted wellbeing across all dimensions, suggesting that these moments are critical for creating positive perceptions or losing support for closures.

Multiplication and adaptation of BLRI Napier-3 fodder at farmer’s level

In Bangladesh, feed costs account for 70% of dairy farming expenses. High-yielding fodder (HYF) varieties, such as the Bangladesh Livestock Research Institute (BLRI) developed Napier variety 3 (BN-3), offer significant potential for reducing these costs. This study conducted two agronomical trials, one on-station at the Experimental Plot of BLRI, Regional Station, Baghabari, Shahjadpur, Sirajganj, and one on-farm at the Experimental Plot in the village of Tiar Bondor shahjadpur, Sirajganj during the economic year of 2018-2019. The objectives of this study were to assess the production performance and proximate composition of BN-3 at both the on-station and farmer community levels. Each trial plot measured (20×10) square feet and was prepared according to BLRI's fodder cultivation guidelines. Data from five consecutive harvests over approximately one year were collected and analyzed using SPSS 17.0 software. Results indicated a higher fresh biomass yield was (57.66±4.68 tons/ha/harvest) at on-station compared to the farmer community level (54.89±1.20 tons/ha/harvest), though the difference was not statistically significant (P&gt;0.05). On-station trial also showed superior tiller numbers (30.72±4.27 per hill) and stem perimeter (6.68±0.06 cm). Leaf length and plant height were significantly better (P&lt;0.05) at on station trial. The nutrient composition of BN-3 exhibited non-significant variations between on-station and on-farm conditions. These findings suggest that, while on-station cultivation of BN-3 may provide slight advantages in specific growth parameters, its nutrient composition remains consistent across different farming conditions, highlighting its potential as a cost-effective feed option for Bangladeshi dairy farmers. Asian Australas. J. Biosci. Biotechnol. 2024, 9(3), 27-32

Association Between Three Levels of Social Exclusion and Quality of Life in the Oldest Old Australians: An Analysis of the Household, Income and Labour Dynamics in Australia Data.

This study examined associations between three levels of social exclusion and quality of life in the Australian oldest old. We performed cross-sectional analyses of the Household, Income and Labour Dynamics in Australia data using 203 participants aged ≥85. Principal component analysis was used to construct social exclusion variables at an individual level (lack of supportive relationships), neighborhood level (disadvantaged neighborhood social climates), and community level (community disengagement). Quality of life was assessed using physical and mental component summary scores of SF-36. Multiple linear regression analysis was performed separately for men and women. Lack of supportive relationships was negatively associated with physical and mental quality of life in all participants. Among men, community disengagement was associated with low physical quality of life. Policies to reduce social exclusion in this age group should focus on improving supportive relationships to enhance quality of life, rather than neighborhood or community levels.

Addressing Challenges in Antibiotic Access: Barriers, Implications and Strategies for Solution.

Antimicrobial resistance (AMR) poses a significant threat to global public health, disproportionately affecting low- and middle-income countries (LMICs). While excessive antibiotic use is often discussed, the issue of access to antibiotics demands attention. This viewpoint explores the multidimensional nature of the issue of access to antibiotics. We have examined the issue through the lens of social, economic, healthcare structures, manufacturing and supply chain, policy and practices. Inter-relatedness of these issues has also been explored. The review further discusses potential solutions involving but not limited to increased awareness, improvement in healthcare infrastructure, models for sustained manufacturing and supply chains. Additionally, enhancing antimicrobial stewardship at hospital and community levels, empowering healthcare professionals, and emphasizing infection prevention are crucial. Global initiatives that aim to address access challenges, emphasizing collaboration and innovation are important to foster for a sustained response to the issue of antibiotic access.

Development of a wastewater based infectious disease surveillance research system in South Korea.

Wastewater-based epidemiology has been used in pathogen surveillance for microorganisms at the community level. This study was conducted to determine the occurrence and trends of infectious pathogens in sewage from Yongin city and the relationships between these pathogens and the incidence of infectious diseases in the community. From December 2022 to November 2023, we collected inflow water from six wastewater treatment plants in Yongin city twice a month. The analyzed microorganisms included 15 respiratory viruses, 7 pneumonia-causing bacteria, 19 acute diarrhea-causing pathogens, SARS-CoV-2, Zika virus, hepatitis A virus, poliovirus, Mpox, and measles. They were detected through real-time PCR and conventional PCR. The concentrations of 9 pathogens among them were additionally analyzed using quantitative real time PCR. The correlation was confirmed through statistical analysis with the rate of detection for pathogens reported by the Korea Disease Control and Prevention Agency. Influenza A virus, human adenovirus, and human rhinovirus were moderately correlated (rho values of 0.45 to 0.58). Campylobacter spp. and sapovirus were strong correlated (rho values of 0.62, 0.63). Enteropathogenic E. coli, human coronavirus, and norovirus GII were very strong correlated (rho values of 0.86 to 0.92). We were able to identify the prevalence of respiratory viral infections, pneumonia, and acute diarrhea-causing pathogens in the community through wastewater-based epidemiology data. This study will be helpful in establishing a system for future surveillance of infectious diseases present in sewage.

Communication, Climate Mitigation, and Behavior Change Interventions: Understanding Message Design and Digital Media Technologies

Using the socio-ecological model of social and behavior change communication, our review highlights current trends in understanding message design factors and media technologies promoting proenvironment and climate mitigative behaviors. We explain that much of this research has focused on the individual level, and relatively few studies have been conducted at the interpersonal and community levels. With respect to changing communication ecology, we note the potential for research on the use of social media platforms to influence positive behavior changes and, conversely, the challenges of misinformation and its impact on behavior shifts. This area requires further investigation as these communication platforms transform and become increasingly relevant. Additionally, we need to explicate the long-term shifts and impacts of behavior change interventions as well as track behaviors over time. Overall, our review underscores the continued need for research across different geographical, sociopolitical, and technological contexts.

An exploration of community food pantries in Scotland: strategic and operational perspectives on addressing food insecurity and health inequalities

Introduction: Food insecurity and health are inextricably linked. Since 2008, Scotland has witnessed a proliferation of both food insecurity and emergency food provision. There is a recognised commitment from Scottish Government to ‘end the need for food banks’, however, the food aid landscape was ‘turbo-charged’ during COVID-19 leading to intense expansion and diversification of food-based projects, including the development of community food pantries (CFPs). These ‘new’ models are relatively under-researched, meaning we do not adequately understand their potential or realised impacts on food insecurity and health. This study aims to fill that gap.MethodsA qualitative methodology was used to collect and analyse data from in-depth interviews with 10 representatives from both operational and policy settings related to food insecurity in Scotland. In addition, we conducted an analysis of policy documentation from Scottish Government related to tackling food insecurity to understand how CFPs fit into its overall strategy to transition away from food bank use.ResultsWe found there were variations in conceptualisations of CFPs and how they operate, challenges related to addressing food insecurity at a community level and varied narratives around the role of community level interventions in tackling health inequalities. Choice and access to services were viewed as central components to the pantry model. However, there were significant challenges faced by CFPs, including territorialism, funding and food supply. Articulations of health were often multi-layered and complicated with strong recognition of the social determinants as well as acknowledgement of the limitations of tackling food insecurity and health inequalities solely at the community level.ConclusionsDespite a commitment to transition away from emergency food provision, CFPs in Scotland appear to face many of the same issues as food banks, particularly those which impact health. Urgent critique of their reliance on surplus food redistribution is required alongside investigation of how these ‘new’ models are experienced by the people who access them. Further expansion of these models should be viewed with caution and in the same vein as traditional emergency food provision: a symptom of, rather than a solution to, the problem of food insecurity.

A critical review of wastewater-based epidemiology as a tool to evaluate the unintentional human exposure to potentially harmful chemicals.

Wastewater-based epidemiology (WBE) is a powerful tool to gather epidemiological insights at the community level, providing objective data on population exposure to harmful substances. A considerable portion of the human exposure to these potentially harmful chemicals occurs unintentionally, unlike substances such as pharmaceuticals, illicit drugs, or alcohol. In this context, this comprehensive review analyzes WBE studies focused on classes of organic chemicals to which humans are unintentionally exposed, namely organophosphorus flame retardants, per- and polyfluoroalkyl substances (PFAS), benzotriazoles and benzothiazoles, phthalates and terephthalates, benzophenones, pesticides, bisphenols, and parabens. The review highlights some advantages of WBE for public health surveillance, e.g., non-invasive analysis, predictive capability, nearly real-time data, population-wide insights, no ethical approval, and unbiased sampling. It also discusses challenges and future research directions in WBE regarding exposure to harmful chemicals from various sources. The review emphasizes the critical role of wastewater sampling, sample preparation, quality control, and instrumental analysis in achieving accurate and reliable results. Furthermore, it examines the selection of human biomarkers for WBE studies and explores strategies to link WBE with human biomonitoring (HBM), which together enhance both the precision and effectiveness of exposure assessments.

Unveiling the silent information of wastewater-based epidemiology of SARS-CoV-2 at community and sanitary zone levels: experience in Córdoba City, Argentina

ABSTRACT The emergence of COVID-19 in 2020 significantly enhanced the application of wastewater monitoring for detecting SARS-CoV-2 circulation within communities. From October 2021 to October 2022, we collected 406 wastewater samples weekly from the Córdoba Central Pipeline Network (BG-WWTP) and six specific sewer manholes from sanitary zones (SZs). Following WHO guidelines, we processed samples and detected SARS-CoV-2 RNA and variants using real-time PCR. Monitoring at the SZ level allowed for the development of a viral activity flow map, pinpointing key areas of SARS-CoV-2 circulation and tracking its temporal spread and variant evolution. Our findings demonstrate that wastewater-based surveillance acts as a sensitive indicator of viral activity, detecting imminent increases in COVID-19 cases before they become evident in clinical data. This study highlights the effectiveness of targeted wastewater monitoring at both municipal and SZ levels in identifying viral hotspots and assessing community-wide circulation. Importantly, the data shows that environmental wastewater studies provide valuable insights into virus presence, independent of clinical COVID-19 case records, and offer a robust tool for adapting to future public health challenges.

Seasonal Behaviour of Arrivals and Prices of Major Crops in Krishi Upaj Mandis of Chhattisgarh, India

Chhattisgarh state is famous for its forest wealth and mineral resources and there is abundant production of crops. According to total area of crops, Paddy (77.47 percent) and Chickpea (5.43 percent) are major crops of Chhattisgarh state. Arrivals and price data (Year 2014-15 to 2023-24) of major crops were collected from website of Chhattisgarh state Mandi Board. The study was observed that the peak arrivals &amp; price of paddy were started in the same months November to January in both market (KUM, Bemetra &amp; KUM, Bhatapara) except peak price season starts in August to October with narrow difference in KUM, Bhatapara. In case of Chickpea, the peak arrivals and price started in the month of March to May &amp; September to November, respectively. The Price stability of both crops (paddy &amp; Chickpea) was higher in KUM, Bhatapara as compared to KUM, Bemetra. The less price fluctuation of paddy as compared to chickpea in Chhattisgarh state due to purchasing directly to farmers by the Government with Minimum Support Price (MSP) and also provided the Bonus. The study was suggested that the economic development of farmers in state, the government should purchase agricultural products other than paddy and cooperate in setting up dal mills &amp; processing units. Necessary steps should be taken to increase of marketable surplus and development of community level threshing area. The study was importance in knowing the market behaviour and price fluctuation during the peak season and the major reason behind. The studies also throw light on the aspect how to enrich the economic condition of the farmers.

External Factors Influencing the Implementation of Policy, System, and Environmental Change Strategies Within Cooperative Extension.

Introduction. Multilevel approaches are important to promote the adoption of healthier practices at the individual and community levels. Cooperative Extension pairs policy, systems, and environmental (PSE) change approaches with direct education programs focused on individual and community health. This study sought to understand Family and Consumer Sciences (FCS) Extension agents' perceptions of PSE change supports, benefits for their communities, and resources and partnerships important for implementation. Method. The Consolidated Framework for Implementation Research was used to develop a survey to assess outer setting domains related to PSE work. In addition to close-ended questions, the survey included several open-ended, qualitative questions exploring the benefits, resources, and relationships required to implement PSE changes. The surveys were collected online from FCS agents in two states. Descriptive statistics were calculated, open responses were coded, and key themes were established. Results. FCS agents (n=116) indicated high levels of agreement about having necessary support from state-level specialists (71%) and the overall Extension organization (64%). The largest gaps in support were reported as grant or external funding sources, time, and county programming funds. Half of the sample agreed that PSE training was adequate, but only 38.5% reported previously participating in PSE-specific training. Open-ended question responses revealed diverse relationships and numerous benefits of PSE work, including more sustainable health behavior changes and greater local Extension visibility. Discussion. Our findings corroborate previous work and identify potential gaps that future interventions can address to better support Extension and public health professionals when implementing PSE work at the community level.

Regional trends, spatial patterns and determinants of health facility delivery among women of reproductive age in Nigeria: A national population based cross-sectional study.

Globally, about 810 women die daily from pregnancy and childbirth complications, and the burden is highest in Africa. The United Nations sustainable development goal has a maternal mortality ratio (MMR) target of 70 per 100,000 live births by 2030. Nigeria, the largest country in Africa, has an MMR of 512 per 100,000 live births, thus there is need for intensified efforts to reduce maternal deaths in the country. Proper utilisation of maternal health services including health facilities for delivery is crucial to achieving this. This study assesses the regional trends, spatial patterns and determinants of health facility delivery among women of reproductive age in Nigeria. This is a weighted secondary analysis of the Nigerian Demographic and Health Survey (NDHS). The sample included women who had a live birth in the preceding 5 years of the NDHS 2008, 2013 and 2018. Bivariate analysis and multilevel logistic regression were carried out to assess the determinants of health facility delivery. Trends analysis was done using bar graphs and spatial analysis showed the distribution of health facility delivery by State. Forty-one percent of women delivered their last child in a health facility. The proportion of women who delivered at a health facility increased from 2008 to 2018 for all regions, with exception of the South-south region. Determinants of facility-based delivery include; ethnicity, level of education, wealth index, exposure to mass media (AOR 1.34; 95% CI 1.20-1.50), number of childbirths, number of antenatal visits (AOR 4.03; 95% CI 3.51-4.62), getting a companion to go the health facility (AOR 0.84; 95% CI 0.72-0.98), community level poverty, community level of female education, community distance to health facility, and geographical region. There is an urgent need to deploy appropriate strategies and programme to improve health facility delivery in Nigeria.

How did COVID-19 case distribution associate with the urban built environment? A community-level exploration in Shanghai focusing on non-linear relationship.

Several associations between the built environment and COVID-19 case distribution have been identified in previous studies. However, few studies have explored the non-linear associations between the built environment and COVID-19 at the community level. This study employed the March 2022 Shanghai COVID-19 pandemic as a case study to examine the association between built-environment characteristics and the incidence of COVID-19. A non-linear modeling approach, namely the boosted regression tree model, was used to investigate this relationship. A multi-scale study was conducted at the community level based on buffers of 5-minute, 10-minute, and 15-minute walking distances. The main findings are as follows: (1) Relationships between built environment variables and COVID-19 case distribution vary across scales of analysis at the neighborhood level. (2) Significant non-linear associations exist between built-environment characteristics and COVID-19 case distribution at different scales. Population, housing price, normalized difference vegetation index, Shannon's diversity index, number of bus stops, floor-area ratio, and distance from the city center played important roles at different scales. These non-linear results provide a more refined reference for pandemic responses at different scales from an urban planning perspective and offer useful recommendations for a sustainable COVID-19 post-pandemic response.

Mapping multi-dimensional variability in water stress strategies across temperate forests

Increasing water stress is emerging as a global phenomenon, and is anticipated to have a marked impact on forest function. The role of tree functional strategies is pivotal in regulating forest fitness and their ability to cope with water stress. However, how the functional strategies found at the tree or species level scale up to characterise forest communities and their variation across regions is not yet well-established. By combining eight water-stress-related functional traits with forest inventory data from the USA and Europe, we investigated the community-level trait coordination and the biogeographic patterns of trait associations for woody plants, and analysed the relationships between the trait associations and climate factors. We find that the trait associations at the community level are consistent with those found at the species level. Traits associated with acquisitive-conservative strategies forms one dimension of variation, while leaf turgor loss point, associated with stomatal water regulation strategy, loads along a second dimension. Surprisingly, spatial patterns of community-level trait association are better explained by temperature than by aridity, suggesting a temperature-driven adaptation. These findings provide a basis to build predictions of forest response under water stress, with particular potential to improve simulations of tree mortality and forest biomass accumulation in a changing climate.

Rural household resilience to food insecurity in Mekiet district, Ethiopia

IntroductionFood insecurity remains a global issue and a top national priority in Ethiopia. However, it continues to pose a serious challenge in rural areas. Therefore, this study investigated household resilience to food insecurity among rural residents in Mekiet district.MethodsA cross-sectional research design was used, focusing on two agroecological zones of Mekiet district—lowland and midland—involving 228 respondents. The study employed both quantitative and qualitative approaches. Multistage sampling techniques were employed to select the sample households, and factor analysis was employed to analyze the data.Results and discussionThe results from the factor analysis using the TANGO approach showed that the latent variables of absorptive and adaptive capacities had factor loadings of 0.98 and 0.79, respectively. On the other hand, transformative capacity showed a negative loading (−0.78), with all variables being statistically significant. The mean household resilience capacity index was 0.51. The variables of absorptive and adaptive capacities were positively associated with household resilience capacity, while transformative capacity exhibited a strong negative association. All factor loadings were significant, exceeding the recommended absolute value of 0.364 for sample sizes of 200 or more. Additionally, these variables were also highly correlated with resilience capacity. The study recommends that resilience programs be implemented at district, community, and household levels to enhance resilience to food insecurity.

Climate emotions, thoughts, and plans among US adolescents and young adults: a cross-sectional descriptive survey and analysis by political party identification and self-reported exposure to severe weather events.

Climate change has adverse effects on youth mental health and wellbeing, but limited large-scale data exist globally or in the USA. Understanding the patterns and consequences of climate-related distress among US youth can inform necessary responses at the individual, community, and policy level. A cross-sectional descriptive online survey was done of US youth aged 16-25 years from all 50 states and Washington, DC, between July 20 and Nov 7, 2023, via the Cint digital survey marketplace. The survey assessed: climate-related emotions and thoughts, including indicators of mental health; relational aspects of climate-related emotions; beliefs about who or what has responsibility for causing and responding to climate change; desired and planned actions in response to climate change; and emotions and thoughts about the US Government response to climate change. Respondents were asked whether they had been affected by various severe weather events linked to climate change and for their political party identification. Sample percentages were weighted according to 2022 US census age, sex, and race estimates. To test the effects of political party identification and self-reported exposure to severe weather events on climate-related thoughts and beliefs we used linear and logistic regression models, which included terms for political party identification, the number of self-reported severe weather event types in respondents' area of residence in the past year, and demographic control variables. We evaluated survey responses from 15 793 individuals (weighted proportions: 80·5% aged 18-25 years and 19·5% aged 16-17 years; 48·8% female and 51·2% male). Overall, 85·0% of respondents endorsed being at least moderately worried, and 57·9% very or extremely worried, about climate change and its impacts on people and the planet. 42·8% indicated an impact of climate change on self-reported mental health, and 38·3% indicated that their feelings about climate change negatively affect their daily life. Respondents reported negative thoughts about the future due to climate change and actions planned in response, including being likely to vote for political candidates who support aggressive climate policy (72·8%). In regression models, self-reported exposure to more types of severe weather events was significantly associated with stronger endorsement of climate-related distress and desire and plans for action. Political party identification as Democrat or as Independent or Other (vs Republican) was also significantly associated with stronger endorsement of distress and desire and plans for action, although a majority of self-identified Republicans reported at least moderate distress. For all survey outcomes assessed in the models, the effect of experiencing more types of severe weather events did not significantly differ by political party identification. Climate change is causing widespread distress among US youth and affecting their beliefs and plans for the future. These effects may intensify, across the political spectrum, as exposure to climate-related severe weather events increases. Avaaz Foundation.