Search Results (138)

Background: Access to safe and reliable water and sanitation remains a critical public health and development challenge, with rural and low-income communities being disproportionately affected by inadequate services and heightened exposure to waterborne diseases. Despite global efforts and infrastructure-based progress indicators, significant disparities persist, and these often overlook users’ perceptions of water quality, reliability, and safety. This study explores the determinants of household satisfaction with drinking water in rural areas, comparing subjective user feedback with official access data to reveal gaps in current monitoring approaches and support more equitable, user-centered water governance. Methods: This study was conducted in Kazakhstan’s Atyrau Region, where 1361 residents from 86 rural villages participated in a structured survey assessing household access to drinking water and perceptions of its quality. Data were analyzed using descriptive statistics and multinomial logistic regression to identify key predictors of user satisfaction, with results compared against official records to evaluate discrepancies between reported experiences and administrative data. Results: The field survey results revealed substantial discrepancies between official statistics and residents’ reports, with only 58.1% of respondents having in-house tap water access despite claims of universal coverage. Multinomial logistic regression analysis identified key predictors of user satisfaction, showing that uninterrupted supply and the absence of complaints about turbidity, odor, or taste significantly increased the likelihood of higher satisfaction levels with drinking water quality. Conclusions: This study underscores the critical need to align official water access statistics with household-level experiences, revealing that user satisfaction—strongly influenced by supply reliability and sensory water quality—is essential for achieving equitable and effective rural water governance. Full article

Gastrointestinal parasites (GIPs) and tick infestations remain critical health challenges limiting cattle productivity in rural South Africa, particularly within communal farming systems. The Eastern Cape Province, characterized by high livestock densities and variable management practices, provides a unique context in which to examine parasitic burdens across systems. This study aimed to compare the prevalence, intensity, and diversity of GIPs and tick species in cattle raised under rural communal grazing versus communal feedlot systems in the Eastern Cape Province of South Africa. A total of 160 cattle (n = 80 per system) were randomly selected for fecal and tick examinations in community-based feedlots in Holela (Centane) and Gxwalibomvu (Tsomo), as well as from surrounding rural villages. Fecal samples were analyzed using the McMaster technique to determine fecal egg counts (FEC), while tick species were identified and counted from standardized body regions. Body condition scores (BCS) were recorded, and farmer practices related to parasite control were surveyed. Results showed significantly higher GI parasite prevalence and FEC in rural community cattle compared to feedlot cattle (p < 0.05), with Haemonchus contortus and Trichostrongylus spp. being the most prevalent. Similarly, rural cattle had significantly higher tick infestation rates, dominated by Rhipicephalus microplus and Amblyomma hebraeum. Logistic regression identified rural production system, poor body condition (BCS ≤ 2), and absence of recent deworming as significant risk factors for GI parasitism (p < 0.05). Strong negative correlations were found between BCS and both FEC (r = −0.63) and tick burden (r = −0.57). Additionally, rural farmers reported lower acaricide usage and greater reliance on traditional remedies. The study confirms that rural communal systems expose cattle to higher parasitic risks due to unmanaged grazing, limited veterinary support, and poor parasite control strategies. Communal feedlots, by contrast, offer more controlled conditions that reduce parasitic burden. Integrating strategic parasite management, farmer training, and expanded veterinary outreach is essential to improving cattle health and productivity in communal areas. Full article

China has effectively safeguarded biodiversity by building the world’s largest system of nature reserves, but the livelihoods of farmers near the reserves are often not guaranteed. This paper aimed to deeply explore the intrinsic relationship between the geographical location of households and their livelihood outcomes within seven nature reserves across three provinces in China. Innovatively, this study subdivided households’ livelihood outcomes into four patterns: high well-being with high dependency (H-H), high well-being with low dependency (H-L), low well-being with high dependency (L-H), and low well-being with low dependency (L-L), in order to comprehensively analyze the diversity of households’ livelihoods and further reveal the spatial logic and mechanisms underlying regional development imbalances. Methodologically, a combination of quantitative analysis and qualitative research was adopted. Representative villages in the protected area and outside the protected area were selected for semi-structured interviews with the village heads. Meanwhile, farmers were randomly selected in the villages for structured interviews and 1106 questionnaires were collected. Through variance analysis, the study first identified the unique advantages of H-H-pattern households in natural resource utilization. Subsequently, a multinomial logistic model was used to deeply analyze how geographical location (including whether a household was located within a protected area and the distance to markets) affected the transition mechanisms of the other three livelihood outcomes towards the H-H pattern. Based on this, marginal effect analysis was employed to further delineate the specific influence pathways of geographical factor changes on households’ livelihood outcome selection probabilities. The results showed that the geographical location of households’ residences had a significant impact on their livelihood outcomes. For households in the L-L and H-L patterns, proximity to markets could significantly increase the probability of their livelihood transitioning to the H-H pattern. Meanwhile, residing within protected areas significantly promoted the transition of L-L and H-L households to the H-H pattern but showed a certain inhibitory effect on L-H households. Marginal effects analysis further shows that both living in protected areas and reducing distance to markets increase the tendency of households to be highly dependent on natural resources for livelihood outcomes. Compensation policies should be designed according to local conditions, and subsidies for the development of ecotourism and other service industries should be increased for rural households in protected areas to ensure sustainable development rather than transfer payments. Full article

This study aimed to explore the factors influencing food hygiene behaviours among child caregivers in Chikwawa district, Malawi. This research focused on three specific hygiene behaviours: keeping utensils on an elevated surface, using soap to clean kitchen utensils, and washing hands with soap at critical times. These practises are known to contribute to the reduction in diarrhoeal disease. To understand these behaviours, this study utilised multilevel binary logistic models to examine variations at both the household and village levels. The findings reveal that educational background, age group, occupation, self-confidence, intervention, self-will, and perception were the most significant factors influencing food hygiene behaviours. Notably, there were significant variations at the village level (p < 0.00001), while no significant variations were observed at the household level (p > 0.1). Additionally, caregivers from areas where interventions were implemented showed a positive response to these interventions. Full article

This paper examines the societal, demographic, and health-related determinants of online stress management information-seeking (OSMIS) behavior in Hungary. We processed the International Social Survey Program: Health and Healthcare (n = 1008) dataset of 2021. Relationships between variables were assessed using weighted multiple logistic regression. The bootstrapping method was applied to gauge the robustness and reliability of the estimates. Subgroup analyses were also utilized to explore potential confounding effects between OSMIS behavior and various socioeconomic and health-related lifestyle factors. Empirical findings indicate that socially excluded strata were the most likely to seek online stress management information to cope with stressful situations. OSMIS behavior was significantly associated with divorced marital status (OR = 3.13; 95% CI: [1.92–5.17]), unemployment (OR = 2.22 [1.64–2.99]), living in a rural village (OR = 1.39 [1.12–1.93]), and distrust in the healthcare system (OR = 2.03 [1.33–3.11]). During the COVID-19 pandemic, the concept of techquity played a pivotal role in Hungary, bridging gaps in health access. Policymakers, healthcare practitioners, and digital health developers may harness our results to enhance digital health tools within integrated healthcare systems, prioritizing equitable access to ensure that marginalized populations can fully benefit from the advantages of techquity and digital inclusion. Full article

This paper investigates the impact of a lack of electricity services on social and economic development in the context of patriarchal, rural Sudan. Quantitative data were gathered from key informant interviews in four rural villages across three different states (n = 240). Not having access to electricity adversely affects four main variables: (i) health, (ii) education, (iii) gender equality, and (iv) income generation. A multiple logistic regression model assessed school attendance of all boys or girls in a household as a function of declared household income, survey respondent education level, number of children, number of hours per day of household chores, and hours per day of biomass collection (a task that girls usually undertake). Boys are observed to be more likely to attend school than girls regardless of household income; their attendance likelihood increases with the number of children in the household (which we attribute to the greater likelihood of girls being in a household to undertake tasks). Increased biomass collection time is seen to increase the likelihood of boys’ attendance to school as this is typically seen as a female task. Girls are primarily required to undertake chores which reduces school attendance. Girls’ attendance also appears dependent on a higher household income (Odds Ratio 1.24, p value 0.052). The likelihood of attendance at school for each additional hour of required household chores was reduced by 22% for boys and 10% for girls. In relation to accessing health services, (traditional vs. modern), we observed no influence of household income suggesting social norms play a strong role here. Full article

This comparative study examines how geographic isolation and out-migrant motivations shape support systems in two aging, depopulated rural areas of Japan: Shimogo Town and Nanmoku Village. Challenging the prevailing policies’ focus on internal migration as the primary solution for regional revitalization, we highlight the “relationship population”—a specific group of out-migrated family members who maintain ties to their hometowns—and their diverse contributions to rural sustainability. We employed a mixed-methods approach, including quantitative analyses of aging-oriented household survey questionnaires (using multiple correspondence analysis, multinomial logistic regression, k-means, and two-step cluster analysis) and qualitative analyses of interviews with local government officials and residents (case studies in Nanmoku). Our analysis reveals contrasting support patterns: Shimogo exhibits a localized system driven by resident needs, while Nanmoku employs a strategic approach balancing practical support and community engagement. These findings underscore the limitations of one-size-fits-all migration policies and indicate the need for strategies tailored to the local characteristics of each community. By recognizing the diverse motivations behind hometown visits and the contributions to both residents and communities from the “relationship population”, this research advocates shifting the focus from promoting migration to the interplay of family ties, local support systems, and the agency of residents and out-migrated families. This perspective offers actionable insights for policymakers, local leaders, and researchers working on rural revitalization. Full article

Displaced populations face an elevated risk for tobacco use, especially smokeless tobacco (SLT), due to its affordability and acceptability in regions like Mizoram State (India) and Chin State (Myanmar). Despite this, limited research exists on tobacco use patterns and contributing factors among displaced populations. This study aimed to examine smoked tobacco and SLT use among displaced communities in Mizoram, India. We collected data across nine villages using mobile health technology. We conducted logistic regression models to examine the cross-sectional associations between sex and tobacco use. Age was explored as a potential moderator. The analytic sample consisted of 2226 participants, with a mean age of 43 (±16.2) years, 63.1% of whom were women. Approximately 70% of the participants reported using tobacco, with SLT being the most common form (46.3%). Women were 57% less likely to use tobacco than men, but women aged 55 and older had twice the odds of using tobacco compared to men in the same age group. Additionally, women had nearly 71 times higher odds of using SLT compared to smoked tobacco than men. The findings underscore the need for culturally sensitive interventions targeting SLT use among women. Future research should explore the drivers of this disparity to guide public health strategies. Full article

During the last six decades, Lebanon’s landscapes have undergone significant regime shifts whose causes are under-investigated. Using land cover maps from 1962 and satellite imagery from 2014 and 2023 in five randomly selected villages across Lebanon’s major agroecological zones (AEZs), we identified salient trends in the urbanization-driven transformation of land use and land cover (LULC). Household socio-economic characteristics and environmental pressures were analyzed as independent variables influencing land use decisions. Logistic regression (LR) was employed to assess the significance of these variables in shaping farmers’ choices to transition toward “perennialization”—namely fruit tree monocropping or protected agriculture. The LR results indicate that education reduced the likelihood of “perennialization” by 45% (p < 0.001). Farm size positively influenced “perennialization” (p < 0.01), suggesting that land availability encourages this agricultural practice. In contrast, water availability negatively affects “perennialization” (p < 0.01), though farmers may still opt to irrigate by purchasing water during shortages. Our findings underline the complex interplay of socio-economic and environmental dynamics and historical events in shaping Lebanon’s rural landscapes and they offer insights into similar transformations across the Middle East and North Africa (MENA) region. Full article

In traffic accidents, elderly individuals face a significantly higher risk of mortality compared with other age groups. To investigate the factors contributing to elderly pedestrian accidents and their impact on injury severity, 1420 motor vehicle/elderly pedestrian collisions from the 2019–2023 Chinese Traffic Accident Deep Investigation Database were analyzed using the FP-growth algorithm. This analysis identified 5594 association rules across 28 types of variables within 4 categories of influencing factors. Logistic regression results indicate that pedestrian age, collision speed, time of occurrence, and accident location are significant factors affecting the mortality rate of elderly pedestrians in traffic accidents. Specifically, pedestrian age and collision speed significantly influence mortality rates. As collision speed increases, the mortality rate rises markedly. For elderly pedestrians aged 60 and above, the mortality rate increases by 3.7% with each additional year of age. Moreover, accidents occurring at night, in suburban areas, or in villages are associated with a higher mortality rate. This study offers scientific support for the formulation of safety measures aimed at improving the traffic safety of elderly pedestrians. Full article

The percentage of older drivers is increasing worldwide. Older adults are driving for their daily lives, including drivers who should not drive, “must-watch drivers”, for health conditions, etc. The “Public Survey of Long-Term Care Prevention and Needs in Spheres of Daily Life (Needs Survey)”, including the “Kihon Checklist (KCL)”, is a triennial nationwide survey conducted by welfare administrations in Japan. The objective of this study was to demonstrate that the Needs Survey can capture situations (e.g., driving avoidance) of older drivers obtained by previous studies, many of which are one-time surveys. As for our methods, we administered a survey with a format of questions used in previous studies combined with KCL to all older adults in Tsurui Village, a rural community in Japan, obtained 393 responses, around half of them, and conducted a logistic regression analysis to estimate whether they were driving or not and a multiple regression analysis for the frequency of driving avoidance. The former analysis showed that KCL could detect must-watch drivers with relatively deteriorated health among not-so-old adults, adding to another one with relatively not-so-bad health among much older adults, and the latter analysis showed that the KCL scores could be an alternative to the self-rating of driving ability used in previous studies. In conclusion, KCL in the Needs Survey is recommended to be a valuable survey for regularly assessing the driving conditions of older drivers nationwide. Full article

The key strategic point for facilitating domestic circulation is to enhance and expand household consumption. Based on a survey of 1080 farming households in Hunan, Hubei, and Jilin Provinces, this study examines the impact of digital finance use on the scale and structural upgrading of household consumption among farmers. The findings indicate that digital finance use effectively expands the scale of household consumption and promotes structural upgrades. The results remain robust through various endogenous and robust methods. Heterogeneity analysis reveals that the benefits of digital finance use are greater for middle- to high-income groups and those with lower education levels, indicating the presence of a digital divide effect. Furthermore, the construction of village communities, skill training, improvements in village logistics services, and the availability of medical clinic facilities can enhance the consumption-promoting effects of digital finance use. Mechanism analysis shows that digital finance primarily operates through alleviating credit constraints, enhancing risk prevention, and improving financial returns to influence the scale and structural upgrading of household consumption. This study provides policy insights for rural revitalization and unlocking the consumption potential of rural residents. Full article

Background/Objectives: As people age, their environment plays a critical role in shaping their health. With Thailand’s rapidly aging population, it is crucial to understand how different living environments affect the well-being of older adults. This study examines differences in biopsychosocial health indicators between older adults living in village communities and private housing estates in Chiang Mai, Thailand. Methods: A cross-sectional study was conducted using baseline data from the Community-Integrated Intermediary Care (CIIC) Service Model, a Cluster Randomized Controlled Trial in Thailand (TCTR20190412004). The study included 2788 older adults (aged 60+). Of these, 89.49% resided in village communities, and 10.51% in private housing estates. Validated instruments were used to assess health indicators. Descriptive statistics, multivariate analysis of variance, and multiple logistic regression analyses were performed. Results: Older adults in private housing estates had significantly lower odds of experiencing pain or discomfort (Adj OR: 0.64, 95% CI: 0.49–0.84) and were 1.36 times more likely to report positive perceived health. However, they had lower odds of perceiving themselves as physically and socially active (Adj OR: 0.74, 95% CI: 0.57–0.97) and were 0.30 times less likely to rate their quality of life higher (Adj OR: 0.30, 95% CI: 0.22–0.40) compared to their village community counterparts. Conclusions: The residential environment significantly influences older adults’ health and well-being. Tailored health promotion interventions should leverage the unique strengths of both village communities and private housing estates to enhance social connections, physical activity, and quality of life, promoting healthy, active aging across diverse settings. Full article

This quantitative research analyzes the entrepreneurial competencies of in-migrant women in the Children’s Village of the Lambayeque Region. With a sample of 79 women, 39 Peruvian and 40 Venezuelan, online surveys and observation forms were operated for 18 months (2021–2022). Using a Likert scale of 55 questions and nine dimensions, competencies such as opportunity seeking, risk anticipation, persistence, self-exertion, and more were assessed. Data were analyzed using correlations, ANOVA, logistic regression, and principal component analysis (PCA). The results revealed significant differences between nationalities, with Venezuelan women having higher competencies. The study identified two principal components that explain 57.663% of the total variance, representing initiative and quality, as well as control and responsibility. These findings suggest the need for specific training programs to strengthen the entrepreneurial competencies of these women. The inductive methodology and quantitative analysis provided a clear vision of entrepreneurial competencies, contributing to the improvement of support and training programs. Full article

As a key prerequisite for the promotion of withdrawal from rural homesteads (WRH), farmers’ willingness to withdraw has long attracted extensive attention. This study proposes an analytical framework for understanding rural households’ WRH intentions integrating farmer differentiation and environmental cognition (EC), and identifies the influencing factors, using surveyed data of 842 rural households collected in two pilot villages in Hubei Province. Binary logistic regression was applied to explore the impact of factors and the influencing mechanism. The results show that both farmer differentiation and EC have a significant impact on their willingness to withdraw from homesteads. Most factors are positively related to villagers’ preference for WRH, except the age of household head, share of agricultural income in annual household income, and satisfaction with existing rural infrastructure. The findings emphasize the combined roles of farmer differentiation and EC in shaping the willingness of WRH, providing a basis for other regions to benefit from the experiences in pilot areas and thus better implement the policy. Full article