Type Of Residence Research Articles

A population-level framework to estimate unequal exposure to indoor heat and air pollution

As people in the UK spend 95% of their time indoors, buildings are an important modifier of exposure to both non-optimal temperatures and air pollution. High ambient temperature and high PM2.5 (particulate matter) concentrations often occur together in urban areas. Residential building types prone to overheating (e.g. purpose-built flats) are often also more common in urban areas. Together, this may lead to spatial and demographic inequalities in indoor exposure to heat and PM2.5 from outdoor sources. By combining building simulations (EnergyPlus), a spatially distributed description of the residential building stock—from publicly available Energy Performance Certificate (EPC) data, ambient temperature, PM2.5 data and area-level (40–250 households) socio-demographic data—we estimated these inequalities in exposure for the population of England and Wales. Maximum indoor temperature was higher in areas with larger ethnic minority and infant populations, and lower in areas with a higher proportion of people aged ≥ 65 years. Indoor concentrations of outdoor-source PM2.5 were higher in areas with larger ethnic minority and low-income populations. With rising inequality in England and Wales, housing and environmental conditions play an important role in contributing to health inequalities from social disadvantage. Policy relevance Differences in environmental exposures may partly explain inequalities in health outcomes. These differences are mediated by dwelling type and quality. Identifying the driving factors for differences in environmental exposures may allow for the development of interventions to address health inequalities more effectively. This study finds differences in indoor exposure across socio-demographic groups due to both location and housing. This could be of interest to national, regional and local authorities responsible for targeting building retrofit interventions across the housing stock.

Adolescent well-being in time of crisis: The role of social and residential contexts

Abstract Background It is unknown whether social or residential context during the COVID-19 lockdowns may impact mental well-being. We identified classes of each of social and residential context during the lockdown and examined their associations with mental well-being among French adolescents one-year after the first lockdown. Methods We used data collected in a cross-sectional study design in 2021 from 387 adolescents ages 12 to 15 years enrolled in the school-based pilot study for EXIST. Participants reported social and residential characteristics during the lockdown retrospectively, and current mental well-being in self-report questionnaires. We used latent class analysis to identify classes of social and residential contexts, and linear regression models to study their association with mental well-being. Results Four social context classes were identified: class 1 ‘Low opportunities for social contacts at home’, class 2 ‘Moderate opportunities for social contact at home”, class 3 ‘High opportunities for social contact at home’, and class 4 ‘Very high opportunities for social contact at home’. Compared to class 4, lower levels of mental well-being were observed among adolescents in class 1 (b= -4.08, 95% CI [-8.06; -0.10]) one year after the lockdown. We identified four residential context classes, with differences across classes in proximity to nature, type of residence (e.g., apartment, house), and level of neighborhood deprivation. No association was found between residential context during the lockdown and adolescent mental well-being one year later. Conclusions An unsupportive social environment during the lockdown may have long-term effects on mental well-being among adolescents. Given the observed disparities in social support, future intervention should aim to strengthen social support for adolescents living in unsupportive environments (e.g., remote homework assistance, support for isolated parents, provision of virtual chat rooms for adolescents). Key messages • Mental well-being was challenged among youth with lower levels of social connectedness and support during lockdown, residential context was not associated with adolescent well-being after one year. • During crisis, a critical need among adolescents does not pertain to the physical attributes of their living environment, but rather to social support from friends or family within and outside home.

Research on the relationship between physical literacy and demographic variables and interpersonal support for physical exercise among adolescents in China.

In recent decades, the concept of "Physical Literacy" has emerged as a significant breakthrough in enhancing the physical health of children and adolescents. This concept has become the guiding principle and future direction for physical education reform in Western countries. As China's economic and social development enters a new phase, the negative impact of insufficient physical activity on adolescent health remains a significant challenge to the strategies of "Healthy China" and "A Leading Sports Nation." The unique value of physical literacy, which emphasizes the importance of regular physical activity, aligns perfectly with the developmental needs of the nation, the era, and individuals. Given the crucial role of interpersonal support in the development of adolescents' physical literacy, this study employs questionnaire surveys and statistical analysis to investigate the current state of physical literacy among Chinese adolescents. It explores the predictive relationship between parental support, teacher support, and peer support on physical literacy, aiming to provide guidance for the future development of adolescents' physical literacy. The research findings indicate significant differences in the five dimensions of physical literacy (attitude, sports knowledge, emotion, athletic ability, and physical fitness) among adolescents of different grades and residence type. Additionally, there are notable gender differences in the dimensions of sports knowledge, emotion, and athletic ability. The interaction effect of gender and grade is particularly evident in the emotional and physical fitness dimensions. There is a significant correlation between interpersonal support and all dimensions of physical literacy. After controlling for variables such as gender, grade, and family background, interpersonal support for adolescent physical exercise was found to have a significant impact on all dimensions of physical literacy. Among the forms of support, peer support was identified as a more powerful predictor of physical literacy compared to parental and teacher support.

Modelling Blow Fly (Diptera: Calliphoridae) Spatiotemporal Species Richness and Total Abundance Across Land-Use Types.

Geographic Information Systems provide the means to explore the spatial distribution of insect species across various land-use types to understand their relationship with shared or overlapping spatiotemporal resources. Blow fly species richness and total fly abundance were correlated among six land-use types (residential, commercial, waste, woods, roads, and agricultural crop types) and distance to streams. To generate multivariate models of species richness and total fly abundance, blow fly trapping sites were chosen across the land-use gradient of Windsor-Essex County (Ontario, Canada) using a stratified random sampling approach. Sampling occurred in mid-June (spring), late August (summer), and late October (fall). Spring species richness correlated highest to residential (-), woods (-), distance to streams (+), and tomato fields (+) in models across all three land-use buffer scale distances (0.5, 1, 2 km), with waste (+/-), roads (-), wheat/corn (-), and commercial (-) correlating at only two of the three scales. Spring total fly abundance correlated with all but one land-use variable across all buffer scale distances, but the distance to streams (+), followed by orchards/vineyards (+) exhibited the greatest importance to these models. Summer blow fly species richness correlated with roads (-) and commercial (+) across all buffer distances, whereas at two of three buffer distances wheat/corn (-), residential (+), distance to streams (+), waste (-), and orchards/vineyards (+) were also important. Summer total fly abundance correlated to models with distance to streams (+), orchards/vineyards (+), and sugar beets/other vegetables (+) at the 2 km scale. Species richness and total abundance models at the 0.5 km buffer distance exhibited the highest correlation, lowest root mean square error, and similar prediction error to those derived at larger buffer distances. This study provides baseline methods and models for future validation and expansion of species-specific knowledge regarding adult blow fly relationships with spatiotemporal resources across land-use types and landscape features.

Assessment of environmental attitudes and behavior of secondary school students in Sri Lanka

Implementing effective environmental education strategies in schools is essential for nurturing young individuals with a sense of responsibility for sustainability. Knowledge regarding environmental attitudes and behaviour of school-aged children in Sri Lanka is limited. This study aimed to assess the level of environmental awareness, attitudes towards recovery and recycling, environmental behaviour, and overall awareness, alongside evaluating the impact of demographic parameters on these variables of secondary school students in Sri Lanka. A questionnaire-based survey with a quantitative approach (using a 35-item scale) was used in assessing 972 Sri Lankan secondary school students. The study revealed that students exhibit a moderate level of EA, attitude, and behavior, with greater familiarity when taught in school. Gender, school environment society membership, and student grade/type of school significantly affected the investigated socio-environmental aspects. Family income and residence type had no notable impact. The findings of this study offer important insights for creating focused interventions and educational strategies aimed at fostering a more sustainable, environmentally responsible younger generation within the distinct socio-cultural landscape of Sri Lanka.

Adherence to IMCI guidelines for key symptoms in Ethiopian children: A 2021-2022 national service provision survey.

The Health Services Provision Assessment in Ethiopia (SPA-ET) is a survey that generates data on the availability and quality of health services in Ethiopia. Despite the presence of integrated management of childhood illness guidelines in healthcare settings, there has been inadequate exploration or assessment of how effectively and consistently health professionals follow the guidelines. This study aims to identify factors influencing healthcare worker adherence to the integrated management of childhood illness guidelines to identify spatial clusters. The data for this study were gathered from the Service Provision Assessment (SPA) survey in Ethiopia, which was conducted nationwide from August 11, 2021, to February 4, 2022. It included a total of 788 health professionals who assessed sick children experiencing at least one of the three main childhood illness symptoms: fever, cough, or diarrhea. We employed STATA version 16 for data analysis, utilizing cross-tabulations to explore relationships between variables and logistic regression modeling to identify factors influencing adherence. To account for the hierarchical structure of the health survey data, we employed multilevel logistic regression. Model selection was based on comparison parameters including the Bayesian Information Criterion (BIC) and Akaike Information Criterion (AIC). We computed adjusted odds ratios with 95% confidence intervals, and statistical significance was determined at a significance level of p < 0.05. The rate of adherence to the integrated management of childhood illness guideline was 33% (95% CI: 29.70%, 36.26%). The analysis revealed several factors influencing adherence to IMCI protocols. child's age (being ≥24 months) [aOR = 0.66, 95% CI: (0.45, 0.87)], facility type (health center) [aOR = 2.61, 95% CI: (1.84, 3.37)], place of residency (being rural) [aOR = 0.54, 95% CI: (0.38, 0.77)], and care provider's qualification (health officer) [aOR = 1.71, 95% CI: (1.18, 2.48)] were all statistically significant. Moreover, the primary cluster is situated in the west Oromia region, with a central focus at coordinates (7.982108 N, 36.203355 E) and extends to a radius of 78.28 km. This study confirms a low adherence rate (33%) among health professionals in Ethiopia to the IMCI guideline for assessing the three main symptoms of sick children. The study identified child's age, facility type, academic qualification, and place of residence as crucial factors correlated with adherence rate. Furthermore, 5 secondary clusters (hotspot areas) were identified using SaTScan software. To address the higher protocol refusal, interventional plan needs to be based on academic qualification of care provider, facility type, age of child and place of residency. Moreover, interventions to reduce non-adherence to IMCI guidelines should be location-tailored based on identified hotspot areas to restore guidelines adherence equality.

Preference of urban and rural older people in Shandong Province for long-term care insurance: based on discrete choice experiment.

Severe population ageing and weak long-term care support systems has spurred China's pilot program for long-term care insurance (LTCI). This study aimed to provide references for optimizing long-term care insurance policies in Shandong Province by measuring the preferences of urban and rural older people for LTCI. Based on the discrete choice experiment, a questionnaire survey was conducted on urban and rural older people from Shandong Province. A mixed logit model was used for data analysis and the relative importance of attributes, willingness to pay, and preference heterogeneity based on residence type, number of children, chronic conditions, gender, education level and financial situation were further estimated. The results showed that individual premium, reimbursement rate and whose provision of home-based care can be reimbursed had a significant effect on the LTCI preference of urban and rural older people in Shandong Province. Benefit package and government subsidy lost statistical significance in full sample but played a role in certain subgroups. There were also differences in preferences for individual premium among different groups of older people. Optimizing the policy design of long-term care insurance based on the actual needs of the older adults can help increase the utility of them and promote the smooth implementation of long-term care insurance.

The Spatial Form of the Traditional Residences of Shanxi Merchants: A Case Study of Pingyao Ancient City, China

The Shanxi merchants were one of the top ten merchant groups in Chinese history. From the Ming and Qing Dynasties to the Republic of China, they contributed significantly to the prosperity of China’s financial industry while also developing traditional residences adapted to the local living environment. Nevertheless, current research lacks a thorough investigation into how Shanxi merchant culture influenced the spatial forms of these residences. This study aimed to analyze the spatial forms of three types of Shanxi merchant residences in Pingyao Ancient City through a case study approach, exploring the factors influencing their spatial forms and their relationship with local culture. The focus is on how the shop residence, workshop residence, and courtyard residence types reflect the interplay between commercial activities and the sociocultural background through their spatial arrangements. The findings indicate a high degree of integration between commercial and residential functions, highlighting the profound impact of Shanxi merchant culture on social hierarchy and family structure. This research provides new insights into the spatial forms of Shanxi merchant residences, offering implications for the adaptive reuse of residences in modern urban planning and architectural design, as well as providing a theoretical basis and reference for the preservation and regeneration of architectural heritage.

The impact of living environmental factors on cognitive function and mild cognitive impairment: evidence from the Chinese elderly population

ObjectivesMild cognitive impairment represents a pivotal stage in the cognitive decline of older adults, with a considerable risk of advancing to dementia. Recognizing how living environmental factors affect cognition is crucial for crafting effective prevention and intervention strategies. This study seeks to elucidate the relationship between various living environmental factors and cognitive function, with a specific focus on mild cognitive impairment, within a Chinese elderly population.MethodsThis is a cross-section and longitudinal study. Utilizing data from CHARLS, our cross-sectional analysis included 4,401 participants, while the cohort study comprised 3,177 individuals. We assessed living environmental factors based on household fuel types, water sources, indoor temperatures, residential building types, and ambient PM2.5 levels. We employed multiple linear regression for cross-sectional analyses and Cox proportional hazards regression models for longitudinal assessments to determine the effects of living environments on cognitive function and MCI risk. Stratified analyses, interaction tests, and sensitivity analyses were conducted to further validate our findings.ResultsThe findings revealed that, compared to those in high-risk environments, participants in low-risk settings exhibited higher cognitive scores (β = 1.25, 95%CI: 0.85, 1.65), better mental status (β = 0.70, 95%CI: 0.48, 0.92), and improved episodic memory (β = 0.27, 95%CI: 0.13, 0.41). Over a 7-year follow-up, the use of low-risk living environments (HR = 0.67, 95%CI: 0.49, 0.91), including clean fuels (HR = 0.74, 95%CI: 0.57, 0.95) and tap water (HR = 0.84, 95%CI: 0.71, 1.00), demonstrated a protective effect against MCI development. This correlation remained significant regardless of age, gender, residence, education level, smoking, alcohol consumption, and depression.ConclusionThis research provides substantial evidence that living environmental factors significantly affect cognitive function and MCI risk in Chinese older adults. Enhancing living conditions may be a key strategy for promoting cognitive health and preventing MCI in this demographic. Further research is necessary to explore the long-term impacts and potential intervention strategies to optimize living environments for better cognitive outcomes in aging populations.

What characteristics modify the relation of neighborhood walkability and walking behavior in older adults?

Abstract Background and Objective Neighborhood walkability can influence walking behaviors in older adults. However, its associations of walkability with walking may differ by demographic, socioeconomic, health, social, and residential characteristics due to factors such as increased vulnerability to environmental factors or to increased resilience. Research Design and Methods In a sample of older adults (n = 493, median age=82 (range 78-89), 56% female, 31% Black), a walkability index was derived from audits of Google Street View images of participants’ immediate neighborhoods. Walking was self-reported in the past week. Effect modifiers by demographic (age, race, gender, marital status), socioeconomic (education, income), health (gait speed, falls, knee pain, depressive symptoms, cognitive status, perceived energy), social (driving status, social engagement), and residential/neighborhood (residence type, neighborhood socioeconomic status, population density) characteristics were assessed by interaction terms in logistic regression models, adjusted for gender, race, gait speed, prior falls, high depressive symptoms, currently driving, and cognitive status. When effect modification was suggested (p for interaction &amp;lt;0.1), adjusted analyses of walkability with walking stratified on the effect modifier were conducted. Results In this sample, 59% walked in the past week and greater walkability was associated with greater odds of walking (OR = 1.16, 95% CI: 1.01-1.34). This association (p for interaction range 0.002-0.07) was present for those who were not currently married (OR = 1.35, 95% CI: 1.17-1.56), who reported knee pain (OR = 1.40, 95% CI: 1.14-1.72)) or high depressive symptoms (OR = 1.30, 95% CI: 1.06-1.60), or who had declining cognitive function (OR = 1.30, 95% CI: 1.09-1.55). Discussion and Implications High walkability may influence physical activity, particularly for those with vulnerabilities related to social, pain, and brain health characteristics. These results should inform neighborhood planning and targeted interventions for vulnerable older adults.

A STUDY ON THE SOCIAL DISTANCE OF RESIDENTS OF BORDER REGIONS OF RUSSIA AND KAZAKHSTAN

He article presents an analysis of the social distance, which was measured as part of an empirical study on the socio-psychological characteristics of the ethnic identity of residents of border regions in Russia and Kazakhstan. The social distance was measured in two groups, which were determined by the type of residence of the respondents. The article describes such types of residence as diffuse and compact ones. The authors determined social acceptability and social expansiveness in the studied groups, as well as the social distance in these groups towards representatives of five ethnic groups. The results of the survey aimed at studying attitudes towards ethnicity and interethnic relations are presented.

Ultra-processed foods and type 2 diabetes mellitus incidence in RaNCD project: a prospective cohort study.

Following rapid population growth and urbanization, global ultra-processed food consumption levels have increased. Additionally, type 2 diabetes mellitus, a non-communicable disease, is affecting one-tenth of the people worldwide. In this study, we aimed to investigate the association between ultra-processed food consumption and the risk of type 2 diabetes mellitus in different scenarios in a prospective cohort study in the western part of Iran. The RaNCD cohort includes 10,047 participants aged 35 to 65; we included participants susceptible to diabetes at enrolment with follow-up data. We used the widely accepted Nova classification to define ultra-processed foods. A multivariable Cox proportional hazards regression model was used as the main model; furthermore, the Cox model with different adjustments and the logistic regression model were used as sensitive analysis to evaluate the association between ultra-processed foods consumption and type 2 diabetes mellitus. A total of 8827 participants with a mean age of 46.92y, a mean follow-up time of 7.1y, and a mean daily ultra-processed food intake of 87.69g were included. During the follow-up phases, we included 255 incidences of type 2 diabetes mellitus cases. After adjusting for confounders in the primary model, including age, gender, residence type, socioeconomic status, physical activity, body mass index, and familial history of diabetes despite the elevated hazard ratio of 1.08 (0.75, 1.55) in the fourth quartile compared to the first quartile, the P-value was insignificant (p-value = 0.665); p for trend in the UPF quartiles was also insignificant. Our study has shed light on the association between ultra-processed food consumption and the risk of type 2 diabetes mellitus. However, further investigations are necessary to confirm or refute the UPFs/T2DM association.

Adolescent mental well-being in time of crises: The role of social and residential contexts.

The extent of the impact and the interconnections among factors within social and residential contexts during the COVID-19 lockdowns on mental well-being remain to be elucidated. We identified latent classes of each of social and residential context during the lockdown and examined their associations with mental well-being among adolescents in France 1-year after the first lockdown. We used data collected in 2021 in a cross-sectional school-based pilot study for EXIST, from 387 participants ages 12-15 years. Participants reported retrospectively on characteristics of their social and residential contexts during the lockdown, and their current mental well-being in self-report questionnaires. We used latent class analysis to identify latent classes of social and residential contexts, and linear regression models to examine the associations between these contexts and mental well-being. Four social context classes were identified: class 1 "Low opportunity for social contact at home," class 2 "Moderate opportunity for social contact at home," class 3 "High opportunity for social contact at home," and class 4 "Very high opportunity for social contact at home." Relative to class 4, lower levels of mental well-being were observed among adolescents in class 1 (b = -4.08, 95% CI [-8.06; -0.10]) 1 year after the lockdown. We identified four residential context classes based on proximity to nature, type of residence (e.g., apartment, house), and level of neighborhood deprivation. No association was detected between residential context during the lockdown and adolescent mental well-being one-year later. A limited social context may negatively impact adolescent mental well-being during crises.

Changes in Mental Health Among Adolescents in South Korea Before and After COVID-19: An Interrupted Time Series Analysis From 2015 to 2022

PurposeThis study aimed to examine changes in mental health among adolescents by comparing data from the period following the onset of the COVID-19 pandemic with the period before the pandemic. MethodsWe estimated the annual prevalence of stress perception, depressive symptoms, and suicidal ideation among middle and high school students using data from the Korean Youth Health Behavior Survey spanning from 2015 to 2022. We then compared mental health status across 2 periods—pre-COVID-19 (2015–2019) and during COVID-19 (2020–2022)—employing an interrupted time series analysis. We adjusted for covariates, such as household economic status, residence type, self-rated health, and history of hospitalization, due to violence. ResultsWe analyzed data from 472,385 adolescents (242,819 boys and 230,016 girls). Stress perception, depressive symptoms, and suicidal ideation showed an increasing trend during the pre-COVID-19 period, followed by a decrease in the first year of the pandemic and an increasing trend in the second and third years. Boys experienced a faster increase in stress and depressive symptoms during the second and third years of the pandemic compared with the pre-COVID-19 period, whereas girls showed trends similar to those observed before the pandemic. Middle school students experienced a more rapid increase in these indicators than high school students during the second and third years. DiscussionAdolescents' mental health initially improved in the first year of COVID-19 but worsened during the second and third years of the pandemic. This suggests a need for intervention policies and programs to support adolescent mental health.

The effects of poor housing conditions on depressive symptoms in persons with disabilities: Do residence type and neighborhood resources matter?

BackgroundPoor housing conditions pose significant risks to the health of persons with disabilities. However, it is not well understood how and for whom the relationship between housing conditions and health is more pronounced. ObjectiveThis study aims to estimate the association between poor housing conditions and psychological health, and to explore whether residential characteristics, such as residence type and proximity to community resources, mitigate these risks for community-dwelling adults with disabilities. MethodsData were obtained from three waves of the Disability and Life Dynamic Panel (n = 5,165), a nationally representative study of individuals with disabilities in Korea. Our sample were limited to those aged 20 or older for the purpose of this study. Individual-level fixed effect analyses were conducted to assess the longitudinal association between poor housing conditions and depressive symptoms, accounting for individual-level heterogeneity. We also tested the moderating effects of the residential characteristics, including residence type and proximity to community resources. ResultsPoor housing conditions, characterized by structural unsafety and inadequate ventilation, lighting, and noise protection, were associated with increased depressive symptoms among adults with disabilities. The negative impact of poor housing conditions on depressive symptoms was less pronounced for those living close to community services or in apartment complexes where housing conditions are professionally managed. ConclusionsThe study indicates that the quality of housing and neighborhood environments affects the psychological health of adults with disabilities. These findings support for the need for place-based interventions aimed at improving the residential environments of community-dwelling adults with disabilities.

Patient delay, diagnosis delay, and treatment outcomes among migrant patients with tuberculosis in Shanghai, China, 2018-2020: a mixed-methods study

ObjectivesThis study aimed to examine patient delay, diagnosis delay and treatment performance among patients with tuberculosis (TB) in Shanghai, China in 2018–2020 focusing on disparities between migrant and local patients...

Multi-objective optimal scheduling of electricity consumption in smart building based on resident classification

By the end of 2021, the urbanization rate of China had reached 64.72%. Increasing urbanization rates have led to an 80 percent share of carbon emissions in urban areas. Therefore, a load optimal scheduling model of smart buildings is proposed in this paper, which takes into account the cost of carbon emissions. The model aims to minimize the electric cost for building residents and maximize the utilization of distributed energy. The research focuses on the load optimal scheduling for two types of residents, i.e., the working residents and the retired ones, based on their electricity usage patterns and habits. To address the challenges of uneven load distribution, nonlinear behavior, and uncertainties introduced by electric vehicles and photovoltaic energy, the multi-objective beluga whale optimization algorithm with hybrid reverse learning competitive strategies (RCMBWO) is introduced. It utilizes the energy storage and discharge capabilities of electric vehicles to mitigate the uncertainties of photovoltaic energy generation. The simulation results show that load optimal scheduling for both types of residents can lead to significant cost savings for a smart building with 100 households, approximately 29,554 RMB per year. Furthermore, the optimized results can guide the determination of the appropriate size for the photovoltaic energy storage system, reducing energy waste resulting from insufficient energy consumption capability of smart buildings. The research on targeted load optimal scheduling for classified residents presents a viable solution for enhancing the cost-effectiveness and environmental benefits of smart buildings.

A novel dataset of indoor environmental conditions in work-from-home settings

During the last week of March 2020, millions of workers around the world transitioned to working from home due to the COVID-19 pandemic. While much research has explored the behavioural and psychological aspects of work-from-home (WFH), few studies have provided data-driven evaluations of indoor environmental quality (IEQ). This paper presents findings from a summer 2022 field study of IEQ conditions in WFH settings, involving 95 participants in the North American Pacific Northwest. Sensors installed on participants' work desks continuously measured total volatile organic compounds (tVOC), particulate matter (PM2.5), carbon dioxide (CO2) air temperature, humidity, and sound pressure levels (SPLs). Participants also completed surveys on home and workspace characteristics, as well as their subjective assessments of IEQ, well-being, and productivity. The study found that mean indoor concentrations of tVOC, PM2.5, and CO2 were 262 ppb, 5 µg/m3, and 712 ppm, respectively. Indoor air temperature ranged between 14.7–32.3°C, with a mean of 22.8°C, while relative humidity and SPL averaged at 52.5% and 53.7 dBA. Statistically-significant associations were observed between IEQ variables and factors such as residence type, cooking habits, workspace type, and window availability. A future paper will assess the surveyed behavioural and psychological characteristics in greater detail.

Probability of Kidney Transplant in the Pediatric ESKD Population by Residence Type

Probability of Kidney Transplant in the Pediatric ESKD Population by Residence Type

Breakfast Practices Among Indonesian Adults: Urban and Rural Differences and Its Associated Factors

Backgrounds: Adults in Indonesia have challenges due to the high prevalence of obesity. Factors that contributed to obesity included unhealthy eating practices. Skipping breakfast habits are linked to health issues such as non-communicable diseases (NCDs). Breakfast practices also reflected the social and cultural dynamics in urban and rural. Socioeconomic and demographic factors could cause differences in breakfast practices between urban and rural areas in Indonesia. Objectives: This research aimed to examine the differences in breakfast practices among Indonesian adults in urban and rural areas based on various characteristics and to explore the association between socioeconomic and demographic characteristics with breakfast practices. Methods: This was a cross-sectional study using secondary data from the Indonesia Food Barometer (IFB) in 2018. A total of 770 adults (26–45 years old) were examined to observe the differences in breakfast practices (skipping breakfast, eating together, buying food, cooking food, and activities during meals) in urban and rural areas. Logistic regression analysis was also employed to examine the association between skipping breakfast and modern breakfast practices with socioeconomic and demographic variables. Results: Chi-square analysis showed significant differences between urban and rural areas in eating alone, eating outside the home, and buying food during breakfast (p-value &lt;0.001). Factors related to skipping breakfast were education level and type of residence (all p-value &lt;0.001), while occupation (p-value = 0.004) and type of residence (p-value &lt;0.001) were related to modern breakfast practices. Conclusions: There were differences in breakfast practices between urban and rural. Skipping breakfast and modern breakfast practices were more prevalent in urban areas.