Low-income Populations Research Articles

Secondary Effects of the COVID-19 Pandemic on Pregnancy Intention.

The coronavirus disease 2019 (COVID-19) pandemic had many downstream effects, including, for some women, altering the wish to become pregnant. This study examines the effects on pregnancy intention and Edinburgh Postnatal Depression Scale (EPDS) score at the initiation of prenatal care in a low-income population during the COVID-19 pandemic. A retrospective review of cohorts of women initiating prenatal care at two large Medicaid clinics between May and November 2019 and May and November 2020 was performed. Women entering prenatal care before 20 weeks and carrying pregnancies to term were included. Charts were abstracted for pregnancy intention, demographics, medical history, and EPDS score. Multivariate logistical regression analysis was used to analyze pregnancy intention pre- and pandemic. EPDS scores were compared by unpaired t test in the unplanned pregnancies pre- and pandemic. There were 462 women in the prepandemic cohort and 477 patients in the COVID pandemic cohort. During the pandemic, 53.04% (253/477) of women reported unplanned pregnancies, a significant increase from a baseline of 42.86% (198/462) of pregnancies prepandemic (P < 0.01, odds ratio 1.62, 95% confidence interval 1.19-2.20) when controlling for all other factors. Analysis of unplanned pregnancies specifically showed no significant differences in the demographic makeup pre- and pandemic. There also was no significant change in EPDS scores in unplanned pregnancies between the two cohorts. There was a significant increase in the number of unplanned pregnancies during the COVID-19 pandemic in a large Medicaid patient population, although the demographics of those having unplanned pregnancies and the average EPDS score did not change significantly.

O cashback tributário e a justiça fiscal no Brasil

The aim of this scientific article is to analyze the legal repercussions of the tax cashback introduced by Proposed Constitutional Amendment No. 45/2019, especially the suitability of the institute for implementing tax justice. The research was carried out using the hypothetical-deductive approach, with research into articles, books and economic and legal doctrine. Firstly, the concept of tax justice was analyzed. Subsequently, the relationship between tax justice and the negative income tax disseminated by Milton Friedman is demonstrated, as well as its relationship with the tax cashback institute. Next, the text of PEC 45/2019 is addressed, paying attention to how the tax cashback will be implemented, highlighting the benefits and also the difficulties in establishing the new system. Finally, it is recognized that the connection between tax justice, negative income tax and tax cashback lies in the effort to create a tax system that not only raises funds for the public coffers, but also actively seeks to reduce income inequality and improve the quality of life of the most vulnerable sections of society, increasing the progressivity of taxes in order to benefit the low-income population.

Association of triglyceride glucose index combined with obesity indicators with cognitive impairment

BackgroundThe association of a combination of the TyG index and obesity markers, specifically waist circumference (WC), with cognitive function is unknown. This research investigated the relationship between TyG-WC measurements and cognitive impairment in a low-income population in China; moreover, this study evaluated the role of diabetes mellitus and body mass index (BMI) in modulating this relationship.Methods1125 eligible individuals aged ≥ 60 years participated in this study. The TyG index and obesity indicators (BMI, WC, and waist-to-height ratio) were calculated for individual participants and categorized into quartiles. Multivariate logistic regression analysis was used to evaluate the correlation between TyG-WC values and cognitive impairment; the possibility of a nonlinear relationship was explored using constrained cubic spline analysis. The participants were divided into different groups according to their diabetes status and BMI category for subgroup analyses. Linear regression was used to investigate the correlation between TyG-WC values and MMSE scores.ResultsThe prevalence of cognitive impairment in the study participants was 47.3%, with a significant negative association between TyG-WC values and cognitive impairment, (odds ratio [OR] = 0.999; 95% confidence interval [CI], 0.997–1.00, P = 0.009). A U-shaped correlation was observed between the TyG-WC values and cognitive impairment (P = 0.008). Subgroup analyses showed that the inverse association between TyG-WC values and cognitive impairment was stronger in non-diabetic individuals (OR = 0.998; 95% CI, 0.997–0.999; P = 0.002) and in those with a lower BMI (< 24 kg/m2; OR = 0.996; 95% CI, 0.994–0.998; P = 0.001). A positive correlation was found between TyG-WC values and MMSE scores, particularly in men and non-diabetic individuals (β = 0.003; 95% CI, 0.0002–0.005; P = 0.031).ConclusionThis study demonstrates a nonlinear U-shaped relationship between TyG-WC values and cognitive function. The stronger inverse association between TyG-WC values and cognitive decline in the non-diabetic and low-BMI subgroups suggests that these populations may benefit the most from targeted interventions. These findings are important for clinical practice and formulating disease-prevention policies, emphasizing the need for metabolic health management to prevent cognitive decline, particularly in low-income populations.

Strategic approaches to enhancing credit risk management in microfinance institutions

Microfinance institutions (MFIs) play a critical role in providing financial services to underserved, low-income populations, yet face significant challenges in managing credit risk due to the nature of their clientele and loan structures. Enhancing credit risk management in MFIs is essential for ensuring financial stability, reducing default rates, and fostering sustainable growth. This review examines strategic approaches to credit risk management tailored to the microfinance context, where traditional credit assessment methods may be less effective. It explores innovative client profiling techniques, such as segmented risk analysis and customized credit scoring models, which leverage demographic and behavioral data to more accurately assess borrower reliability. The use of data-driven decision-making, particularly through predictive analytics and machine learning, is highlighted as a means to anticipate client repayment behaviors and improve risk forecasting. Further, real-time loan monitoring systems with early warning indicators offer MFIs proactive risk mitigation strategies, enabling prompt interventions to prevent defaults. Institutional improvements, including standardized risk frameworks, enhanced training for loan officers, and regular compliance checks, strengthen organizational resilience against credit risks. Portfolio diversification strategies, such as sectoral and geographic diversification, and the integration of group lending models, are also discussed as effective means of reducing risk concentration. By implementing these multifaceted, strategic approaches, MFIs can improve their credit risk management frameworks, better serve their clients, and achieve greater financial sustainability. The review emphasizes the importance of adapting to rapidly evolving risk factors and adopting innovative tools and practices to meet the unique challenges of microfinance. The findings advocate for continuous research and investment in advanced credit risk methodologies, ultimately contributing to the broader goal of financial inclusion.

DESAFIOS DA SAÚDE PÚBLICA NO CONTROLE DE DOENÇAS NEGLIGENCIADAS

Controlling neglected diseases presents major challenges for public health, especially in developing countries. These diseases, which mainly affect low-income populations, face a history of lack of market interest, resulting in limited resources for research, innovation in treatments and diagnostic methods. Although advances have been made, such as the creation of new vaccines and the implementation of innovative technologies, this progress is still slow and insufficient in light of demand. Furthermore, issues such as lack of access to medical care, difficulties in providing care in remote areas and misinformation worsen the situation, leading to late diagnoses and inadequate treatments. The social stigma associated with some of these diseases, such as leprosy and tuberculosis, also represents an obstacle, as many people stop seeking treatment out of fear or shame, which can result in abandonment of therapies and worsening of the clinical condition. To overcome these challenges, it is essential to invest in public policies that promote awareness, health education and expanded access to diagnoses and treatments, as well as psychological support for patients. Information campaigns and greater government and international involvement are also essential to combat the impact of these diseases.

Retention in primary care among unstably housed residents of a low-income, inner-city neighborhood with a high prevalence of substance use and related disorders

IntroductionAccess to and engagement with primary healthcare can be difficult for marginalized low-income populations residing in inner cities in high-income countries. We designed a study to examine retention in primary care among clients of a novel interdisciplinary primary care clinic in the Downtown Eastside of Vancouver, Canada who did not previously have access to care.MethodsBeginning in June 2021, clients of the Hope to Health clinic were offered enrolment in a cohort study which involved a baseline and follow-up surveys every six months, and linking their data to information from the clinic’s electronic medical records. We used Chi-square or Fisher’s Exact test and Wilcoxon rank sum test to compare clients who were lost to follow-up (LTFU) or deceased, with clients who were retained in care at the end of follow-up, Cox proportional hazards modeling was used to examine independent associations with mortality or LTFU.ResultsAmong 425 participants enrolled, the median age was 50 years (IQR 40–59), 286 (67.3%) participants were men and 128 (25.4%) were unstably housed at enrollment. Among 338 participants with at least six months of follow-up after enrolment, 262 participants (67.5%) were retained in care, 20 (5.2%) had moved, 57 (14.7%) were classified as LTFU, and 28 (7.2%) had died with a median of 19.9 months of follow-up time. The risk of death or LTFU was independently associated diagnosed with alcohol use disorder (AUD) (adjusted hazard ratio [AHR] = 2.23 vs. not; 1.38–3.60), frequency of medical doctor visits (AHR = 0.69 per visit per 3 months; 0.60–0.79) and social work visits (AHR = 0.73 per visit per 3 months; 0.59–0.90. Stimulant use disorder or asthma were not significantly associated with retention in care.ConclusionWe found that a primary healthcare model of care was successful in retaining over two-thirds of clients in primary healthcare after more than 18 months of follow-up. Additional supports for those diagnosed with alcohol use disorder are needed to retain them in care.

Who values urban open spaces? investigating heterogeneity in the capitalization of open space in New York city

Given the constraints on local budgets and the availability of urban land, understanding how different urban green spaces are valued by diverse residents is crucial for making informed urban land use decisions. We estimate the heterogeneity in housing price capitalizations of various open space classes in New York City using a hedonic price model. Our findings reveal that the capitalization of open spaces varies across open space types and nearby housing types. For instance, compared to residents who live in properties with private outdoor spaces, residents in condominiums and cooperatives may place greater value on open spaces such as neighborhood parks or community gardens. Furthermore, we aim to uncover how demographic factors are associated with the valuation of different types of open spaces, focusing on two sets of community factors: median household income and racial composition. Our results show that areas with low-income populations or a predominance of non-white residents exhibit substantially different preferences from other groups, with an increased capitalization for community gardens and a decreased capitalization for flagship parks. These insights highlight the importance of investigating heterogeneity in the valuation of environmental amenities and can help policymakers allocate funds for environmental amenities to better align with the preferences of local residents.

De-normalizing sugar-sweetened beverage consumption: effects of tax measures on social norms and attitudes in the California Bay Area

BackgroundSocial norms can influence individual health behaviors. Shifts in social norms for smoking were critical for the effectiveness of tobacco control efforts such as excise taxes. Sugar-sweetened beverage (SSB) excise taxes have been implemented in municipalities across the United States to reduce SSB intake and improve health. We sought to identify trends in social norms and attitudes about healthfulness of sugar-sweetened beverage (SSB) consumption in the California Bay Area and examine whether social norms and attitudes changed following SSB taxes.MethodsData came from annual (2016–2019, 2021) cross-sectional surveys (n = 9128) in lower-income neighborhoods in Oakland, San Francisco, Berkeley, and Richmond. We assessed overall trends and compared pre-post tax changes in Oakland and San Francisco with comparison cities.ResultsWe observed a 28% reduction in social norms for SSB consumption (people’s perceptions of peers’ consumption) and variable reductions in attitudes about the healthfulness of SSBs. Relative to comparison cities, post-tax, perceptions of peers’ consumption of sports drinks declined in Oakland; attitudes about the healthfulness of sugar-sweetened fruit drinks declined in San Francisco.ConclusionsAmong lower-income populations, social norms and attitudes towards the healthfulness of SSBs meaningfully declined over time, with smaller tax-related effects. SSB taxes as well as the local media attention they generate appear to affect people’s perceptions of SSBs. Pairing SSB taxes with messaging campaigns may be more effective in de-normalizing SSB consumption.

Interplay Between Helminth Infections, Malnutrition, and Gut Microbiota in Children and Mothers from Pemba, Tanzania: Potential of Microbiota-Directed Interventions

Background/Objectives: Despite efforts within the framework of the Sustainable Development Goal to end malnutrition by 2030, malnutrition and soil-transmitted helminth infections persist in sub-Saharan Africa. A significant barrier to success is the inadequate understanding of effective intervention methods. Most research on the gut microbiota’s role in health has been conducted in developed countries, leaving a critical gap in knowledge regarding low-income populations. This study addresses this gap by expanding research on the gut microbiota of underprivileged populations to help tackle these public health challenges. Methods: We employed 16S rDNA sequencing to assess the bacterial gut microbiota composition of 60 children (mean age: 26.63 ± 6.36 months) and their 58 mothers (mean age: 30.03 ± 6.31 years) in Pemba, with a focus on helminth infection and nutritional status. Results: Our differential abundance analysis identified bacterial taxa that were significantly negatively associated with both helminth infections and malnutrition, highlighting the potential for microbiota-directed interventions to address these health issues simultaneously. Notably, we identified Akkermansia, Blautia, Dorea, and Odoribacter as promising probiotic candidates for such interventions. In stunted children, positive co-occurrences were observed between Lactobacillus, Prevotella, and Bacteroides, while Escherichia/Shigella displayed negative co-abundance relationships with short-chain fatty acid (SCFA) producers in the gut microbiota. These findings suggest that administering Lactobacillus and SCFA-producing probiotics to children may foster the growth of beneficial bacteria like Prevotella and Bacteroides while reducing the relative abundance of Escherichia/Shigella, potentially enhancing overall health. Conclusions: This study underscores the importance of microbiota-directed interventions in children and women of reproductive age as promising strategies, alongside established approaches, for combating helminth infections and malnutrition in vulnerable populations.

Spatial accessibility and transport inequity in Finland: Open source models and perspectives from planning practice

During the last two decades, accessibility has begun to take a more central role in transport planning and decision making, as its importance has been recognized in many different policy agendas. Although environmental and social sustainability are central in contemporary public policy, the social exclusion effects related to access of opportunities are rarely measured at the national level. In this study, we analyze spatial accessibility to various opportunities in Finland at 1 km resolution and assess accessibility inequalities using the Palma ratio. Furthermore, we test how a web-based tool can be used in stakeholder communication and investigate the usefulness of the accessibility indicators and the tool for planning practice based on focus group discussions with Finnish transport planners. Our results show significant variation in the levels of access to different opportunities across Finnish municipalities. The Palma ratios reveal that the largest disparities are typically located in municipalities surrounding large city regions, where wealthier residents tend to have better access to opportunities compared to low-income populations. Finally, the insights from Finnish planning practitioners reveal that communicating national-level accessibility information via an online tool has high communicative and learning value for various planning and policy processes.

Associating socioeconomic factors with access to public healthcare facilities using geographically weighted regression in the city of Tshwane, South Africa.

Access to healthcare is influenced by various socioeconomic factors such as income, population group, educational attainment and health insurance. This study used Geographically Weighted Regression (GWR) to investigate spatial variations in the association between socioeconomic factors and access to public healthcare facilities in the City of Tshwane, South Africa based on data from the Gauteng City-Region Observatory Quality of Life Survey (2020/2021). Socioeconomic predictors included population group, income, health insurance status and health satisfaction. The GWR model revealed that all socioeconomic factors combined explained the variation in access to healthcare facilities (R²=0.77). Deviance residuals, ranging from -2.67 to 1.83, demonstrated a good model fit, indicating the robustness of the GWR model in predicting access to healthcare facilities. Black African, low-income and uninsured populations had each a relatively strong association with access to healthcare facilities (R²=0.65). Additionally, spatial patterns revealed that socioeconomic relationships with access to health care facilities are not homogeneous, with significance of the relationships varying with space. This study highlights the need for a spatially nuanced approach to improving healthcare facilities access and emphasizes the need for targeted policy interventions that address local socio-environmental conditions.

Evaluating Food Production, Cooling Potential, and Gardener Perspectives in Urban Allotment Gardens of Valladolid, Spain

The renaissance in urban agriculture is driven by its contributions to fostering more sustainable, healthy, and renaturalized cities. While urban gardens are usually designed to improve food security or serve social purposes, they also offer additional benefits. The aim of this research is to study the urban allotment gardens in Valladolid, Spain, highlighting their capacity to support low-income populations and their potential contribution to urban cooling. As a result of research in twelve plots across four gardens, we found that crop selection in Valladolid aligns with broader urban gardening trends in the Global North, with production adapted to limited plot space and varying significantly by season. In addition, we observed that urban allotment gardens provide more stable and cooler temperatures compared to urban gray spaces, although not as significantly as urban parks. The cooling effect was most pronounced during the summer, a season with the highest number of crops and the warmest temperatures. The study identified that greater crop cover above soil had a more significant cooling effect at the plot level. Surprisingly, crop abundance and crop diversity showed a weak correlation with cooling benefits. As a complement, survey questionnaires conducted with gardeners revealed their awareness of climate change and its perceived direct threat to their crops, health, and city. The future concerns of gardeners regarding the availability of water for both crop growth and the development of urban allotment gardens are emphasized. The findings provide results on self-produced food, urban cooling, and the opinion of gardeners, underscoring the multifunctional contributions of urban gardens to cities.

Dual assurance for healthcare and future education development: normalized assistance for low-income population in rural areas-evidence from the population identification.

This study aims to explore the relationship between healthcare and future education among the rural low-income population, using J City in Guangdong Province as the focal area. Addressing both healthcare and educational concerns, this research seeks to provide insights that can guide policy and support for this demographic. Utilizing big data analysis and deep learning algorithms, a targeted intelligent identification classification model was developed to accurately detect and classify rural low-income individuals. Additionally, a questionnaire survey methodology was employed to separately investigate healthcare and future education dimensions among the identified population. The proposed model achieved a population identification accuracy of 91.93%, surpassing other baseline neural network algorithms by at least 2.65%. Survey results indicated low satisfaction levels in healthcare areas, including medical resource distribution, medication costs, and access to basic medical facilities, with satisfaction rates below 50%. Regarding future education, issues such as tuition burdens, educational opportunity disparities, and accessibility challenges highlighted the concerns of rural low-income families. The high accuracy of the model demonstrates its potential for precise identification and classification of low-income populations. Insights derived from healthcare and education surveys reveal systemic issues affecting satisfaction and accessibility. This research thus provides a valuable foundation for future studies and policy development targeting rural low-income populations in healthcare and education.

Reconciling patent rights and the human right to access to essential medicines: A critical review

Over 80% of the world’s population lives in developing nations, with limited access to medicines like AIDS and malaria. Competition between patented and generic medications can improve access and lower prices, but counterfeit medicines should be avoided. The Doha Declaration, released at the World Trade Organisation Ministerial Conference in 2001, aims to support nations’ rights to safeguard public health and encourage access to medicines. It aims to influence the interpretation and application of the Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS Agreement) in a manner that is health-friendly, considering the responsibility of nations to uphold health rights under international law. The Declaration calls for developed nations to encourage practical solutions for poor people in developing countries, emphasizing that trade agreements should be secondary to defending human rights and achieving the best quality of health for all. International human rights treaties protect the universal human right to health, but rigid trade agreements on patents can hinder affordable medication for low-income populations in developing nations. TRIPS, a treaty that protects intellectual property rights and promotes technological innovation, aims to provide inexpensive medications for HIV/AIDS patients through exclusions from patent admissibility, exceptions, parallel importing, and compulsory licensing.

Factors Influencing the Successful Delivery of Public Housing Progammes in Kebbi State, Nigeria: A Systematic Literature Review

The provision of adequate housing is a fundamental human need and is essential for the social and economic well-being of communities. In Nigeria, the government has undertaken various initiatives to tackle housing challenges, particularly for low-income populations. However, Kebbi State continues to encounter significant obstacles in effectively implementing public housing programs due to issues related to funding, planning, and management. This systematic literature review explores the factors affecting the delivery of public housing projects in Kebbi State, evaluating the effectiveness of current housing policies, the roles of stakeholders, and existing housing schemes. Through a thorough analysis of previous projects and policy frameworks, the study identifies key determinants for successful public housing delivery, including collaboration, affordability, sustainability, and effective land use. The findings highlight the necessity for a sustainable housing delivery model that fosters collaboration among government agencies, private developers, and the community, prioritizing affordability, accessibility, and efficient resource allocation. This review aims to provide insights for policymakers and stakeholders to enhance public housing initiatives that more effectively meet the housing needs in Kebbi State.

Early Impact of the COVID-19 Pandemic on Public Benefits Recipients

AbstractThe COVID-19 pandemic has severely impacted employment, housing, and food security for low-income public benefits recipients. The present study seeks to understand public recipients’ self-reported critical and ongoing needs at the outset of the COVID-19 pandemic. This study uses logistic regression to analyze survey data gathered on 10,089 public benefits recipients in the early stage of the pandemic to better understand their self-reported critical and ongoing needs. We also explored variations in need among different racial/ethnic groups and public benefits receipt status. Our research found that respondents from most racial/ethnic minority groups indicated a significant need for food, housing, and back-rent, with variation among different racial/ethnic groups in expressing specific needs for finding employment and help with applying for public benefits. Our findings also identify SNAP/CalFresh recipients as a particularly vulnerable group, and they were more likely to need help with food insecurity, finding employment, applying for public benefits, and paying backrent. While numerous federal, state, and local programs and initiatives were created to address widespread need, this study identifies potential gaps in these efforts and increases understanding of how to target aid for low-income populations in times of crisis.

Assess seismic resilience of unreinforced stone loess cave retrofitted with composite materials by shaking table tests

Unreinforced masonry (URM) structures have consistently suffered significant seismic damage in past earthquake events, leading to considerable losses in both life and property. Unreinforced stone loess cave (URSLC), a type of URM structure, are commonly used in the loess regions of northwestern China due to their affordability for low-income populations. Developing cost-effective and easily implementable reinforcement technologies to enhance the seismic performance of URSLC is therefore critical. In this study, a series of shake table tests were conducted to improve the strength and ductility of URSLC. Initially, the unreinforced structure was subjected to six progressively intense bidirectional seismic excitations, driving the structure to near-collapse. Subsequently, the damaged structure was retrofitted using composite materials, including steel bar/wire mesh mortar, steel belts, and epoxy resin. To compare the performance, a shaking table test was repeated on the retrofitted structure using the same seismic input as the initial test. Throughout the experiments, the damage progression, crack development, and failure characteristics of both the unreinforced and reinforced specimens were meticulously recorded. Additionally, dynamic properties before and after reinforcement were analyzed to assess the effectiveness of the retrofitting. The results demonstrated that the composite materials provided a strong bond between the stone layers and reinforcement, significantly improving the seismic resistance of the damaged loess caves. Moreover, the use of these materials was found to be both efficient and economical in enhancing the structural performance—particularly in terms of strength, stiffness, and damage tolerance. This study confirms that composite reinforcement can significantly improve the safety of masonry buildings, even under severe seismic loading conditions.

Longitudinal policy surveillance of state obesity legislation in California, 1999–2020

BackgroundObesity rates among children and adults continue to accelerate in the U.S., particularly among marginalized and low-income populations. Obesity prevention and reduction policies can significantly impact population health by improving environmental conditions and increasing access to health-promoting resources. Limited research has been conducted to examine state obesity policy change over time. The primary aim of this study is to examine legislative approaches used to prevent and reduce obesity in the state of California (U.S.).MethodsWe used quantitative policy surveillance methods to develop a state database of obesity-related legislation (bills, resolutions) introduced in California’s legislature between 1999 and 2020. Descriptive statistics were used to examine trends of introduced and enacted policy by legislative and policy characteristics. Chi-square tests were used to determine differences in characteristics between enacted and non-enacted legislation. Legislative session and policy characteristics found to be associated with enactment were used to predict adoption in a logistic regression.ResultsA total of 284 obesity-related bills and resolutions were introduced in California’s legislature between 1999 and 2020 with a peak of 43 in 2005–2006. On average, 25.8 bills and resolutions were introduced each 2-year legislative cycle. Findings indicate that (a) children and schools were the most frequently specified population and setting; (b) the most common policy topics were nutrition (45%) and physical activity (33%); and (c) only 15% of legislation mentioned race/ethnicity. Overall, 24.9% of bills were enacted compared to 82.1% of resolutions adopted. Legislation to raise awareness about obesity had 5.4 times the odds of being passed compared to other topics. Yet this difference was not statistically significant in a sensitivity analysis when we excluded resolutions.ConclusionsThis database can be leveraged to advance our knowledge of effective and equitable policy instruments to prevent and reduce obesity. Results reveal important policy elements that may impact legislative success, including policy topic, and contribute to a nascent evidence base for public health law research, legal epidemiology, and practice. Future work should investigate the role of policy effectiveness research and evidence on legislative policymaking.

Summer Energy Use and Comfort Analysis in Rural Chinese Dwellings: A Case Study of Low-Income Older Populations in Shandong

This paper aims to investigate the indoor environmental conditions and energy use behaviours of older individuals in rural cold climates of China, with a specific focus on cooling practices during the summer months in the Shandong region. This study employs a mixed-method approach, combining quantitative indoor environmental monitoring with qualitative interviews and observations, to explore the relationship between environmental factors, household living conditions, and energy use patterns across five types of elderly households: three generations living together, older people living with grandchildren, older people living with children, older couples living together, and older people living alone. Data collection was conducted over five weeks during the summer of 2023 using HOBO UX100-003 data loggers, while external weather conditions were monitored by the China Meteorological Administration. Face-to-face interviews were conducted to gain deeper insights into daily cooling behaviours and energy use. The results reveal that cooling practices and indoor environmental conditions vary significantly among the different household types. Multigenerational households showed more complex energy use dynamics, with younger family members frequently operating high-energy appliances like air conditioners, while older individuals tended to rely on natural ventilation and electric fans to reduce energy costs. In contrast, older couples and solitary older individuals demonstrated more conservative cooling behaviours, often enduring higher indoor temperatures due to limited financial resources and a desire to minimize energy expenditures. Despite the high energy use intensity in some households, many homes failed to achieve comfortable indoor environments, particularly in dwellings with minimal insulation and older building materials. This study concludes that economic status, household structure, and building characteristics play crucial roles in shaping cooling behaviours and indoor comfort during the summer.

Assessing Individual and Interpersonal Attitudes and Behavior Associated with School Outcomes in a Predominantly Low Income, Latino, and Immigrant High School Population.

Assessing Individual and Interpersonal Attitudes and Behavior Associated with School Outcomes in a Predominantly Low Income, Latino, and Immigrant High School Population.