Characteristics Of Residential Environment Research Articles

Association of indoor solid fuel pollution with risk factors for cardiovascular disease among Chinese adults: A nationally multi-center study

Few studies have comprehensively assessed the associations of household air pollution (HAP) from solid fuel burning with cardiovascular risk factors (eg, hypertension, diabetes, dyslipidemia, and obesity). Moreover, whether these associations with cardiovascular disease (CVD) risk factors varied by residential environment characteristics remains unclear. Using two waves data (2011 and 2015) of 13,953 participants aged at least 45 years from 125 cities in the China Health and Retirement Longitudinal Study, we explored how solid fuel exposure is associated with CVD risk factors among Chinese adults. Blood pressure (BP), fasting blood glucose (FBG), lipid profiles, C-reactive protein, and body mass index (BMI) were measured using standard methods. Multivariate logistic regression and generalized linear models explored the associations of solid fuel use for heating and cooking with CVD risk factors. Stratified analyses examined whether the associations varied by sociodemographics and living environmental characteristics. Compared with clean fuels, solid fuel used for heating and cooking was associated with a higher risk of hypertension, diabetes, and dyslipidemia, respectively. Solid fuel was related to elevated systolic BP (adjusted β 1.369 mmHg, 0.481–2.258), diastolic BP (0.704 mmHg, 0.183–1.225), FBG (0.309 mmol/l, 0.218–0.399), total cholesterol (0.055 mmol/l, 0.012–0.099), and low-density lipoprotein (0.100 mmol/l, 0.061–0.139), while inversely with BMI (−0.437 kg/m2, -0.599-–0.275). Women, who live in a house with poor cleanliness (according to the overall tidiness and whether have tap water in the house) had a stronger association for hypertension or dyslipidemia. Our findings provide implications for policymakers to implement interventions to improve cardiovascular health by reducing HAP.

코로나 19 전후 주거환경특성이 주거만족도, 지속거주의향, 그리고 추천의향에 미치는 영향

This study is to verify the effects of residential environment characteristics before and after COVID-19 on residential satisfaction, intention to continue living, and intention to recommend among residents of Helio City Apartment in Songpa-Gu, Seoul, the largest scale apartment complex in Korea. As a result of the analysis, among the residential environment characteristics, location characteristics before COVID-19 and physical characteristics after COVID-19 have the greatest positive(+) significant effect on residential satisfaction, and social characteristics has a significant impact on residential satisfaction before and after COVID-19 has a stronger negative(-) significant effect. This seems to reflect the characteristics of valuing the internal environment rather than the external environment due to the residential characteristics of Helio City apartments and the influence of COVID-19, and as a change of the times, it reflects the reality that a personal culture that values ‘space’ and ‘me’ rather than a collectivistic culture has become more important. It was confirmed that the online information service characteristics, which is differentiating variable, has a positive(+) significant effect only on the recommendation intention after COVID-19. Housing satisfaction has a positive(+) significant effects on the intention to continue living, and the intention to continue living has a positive(+) significant effect on the recommendation intention. As a result of analyzing the double mediation effect, physical characteristics and social characteristics have a positive(+) and negative(-) significant effect on the recommendation intention by mediating the residential satisfaction and the intention to continue living. In addition, it was confirmed that the Heliocity apartment is a residential environment that meets the ‘pedestrian daily rights’.

The impact of the residential environment on Chinese older people's aging-in-place intentions: A mediation and moderation analysis

Aging populations around the world are growing rapidly. Older people prefer to age in place, but they have health needs that require environmental support at the community level. Drawing on Sen's capability approach, we argue that as chronic conditions are inevitable when older people become frail, the policy should focus on providing conversion factors to support older people's capabilities to live independently. The empirical studies, therefore, investigate how residential environment characteristics as conversion factors influence aging-in-place intentions. This study conceptualizes the aging-in-place concept as an intention predicted by three constructs of the theory of planned behavior (TPB) (attitude, subjective norm, and perceived behavioral control). Drawing on a survey of older respondents in Beijing, this study used mediation and moderation analysis to examine the effects of environmental conversion factors on aging-in-place intentions, particularly if these factors increase the perceived behavioral control to live independently. The results show that home accessibility and meeting opportunities positively correlate with aging-in-place intentions. Three TPB components fully mediate such positive effects, with perceived behavioral control having the largest mediation effect. Additionally, meeting opportunities are more influential on aging-in-place intentions for non-frail older adults due to the more significant influence meeting opportunities have on their perceived behavioral control. The results contribute to understanding how the residential environment supports aging in place by supporting older people's capabilities. The results can be used to provide policy recommendations for developing more effective community-based interventions for older people.

Sosialisasi dan Pendampingan Masyarakat dalam Kegiatan Relokasi Permukiman Dampak Program PEMSEA Tahun 2022 di Desa Ketapang Kecamatan Mauk Kabupaten Tangerang

Ketapang Village is located on the sea coast of Mauk District, Tangerang Regency, which has residential environmental characteristics that tend to be closely related to poverty and illegal land use. Slum settlements are caused by the inability of the poor to get proper housing, causing them to illegally occupy land along the riverbanks owned by the Tangerang District Fisheries Service. With the PEMSEA program in 2022, infrastructure development for mangrove conservation and ecotourism in Ketapang Waters is of course accompanied by regional planning, with improving the quality of slum settlements on the banks of the river leading to the beach. The arrangement of the slum settlement area is through relocation to land that is not far from the location where he lives because the legality of residential land is unclear. In an effort to overcome these obstacles, it is necessary to socialize and assist in understanding the community regarding relocation activities. The socialization method consists of two initial activities, namely data collection on project-affected residents and the process of implementing education and outreach activities through relocation assistance. The results of the outreach: the mechanism for planning and implementing relocation in Ketapang Village did not run smoothly, namely some residents affected by the project refused to relocate, so an approach was taken through socialization so that residents affected by the project were willing to sign a letter of intention to move to a new place of residence.

Looking through the Models: A Critical Review of Residential Satisfaction

The study of residential satisfaction has gained importance mainly for its recognition as an important constituent of quality of life. Several studies have investigated the cognitive and behavioural characteristics of inhabitants or the physical and social characteristics of residential environments to understand and evaluate residential satisfaction. However, only a small number of researchers have structured these variables into models to study and analyse the relationships among them. This paper reviews residential satisfaction through the primary models used to study residential satisfaction in order to critique their strengths and weaknesses. The majority of the models discussed in this paper employ subjective and objective attributes to evaluate residential satisfaction. The paper also points out that researchers should clearly define the physical limits of proposed models and the relationships between residents and their residential environments when developing a residential satisfaction model to avoid conceptual ambiguity. The findings of this paper could contribute to a conceptual and theoretical framework of current research on residential satisfaction, as well as providing suggestions for using models in practice and recommendations for future research.

육아친화적 주거환경의 특성

The purpose of this study is to find out the spatial characteristics of residential environment that is suitable for raising children, by analyzing the effect of the characteristics of the residential environment in the apartments on the children residential ratio. For the analysis, we constructed variables, based on the census data for apartment complexes in Seoul and Gyeonggi-do and conducted a multivariate regression analysis based on microscopic spatial units called ‘National Basic Zone.’ From the results of the analysis, the following characteristics of residential environments with a high children residential ratio were derived. First, Childcare households tend to reside more in new apartments in large-scale complexes, even if the cost is higher to a certain extent. Second, the child residential ratio is higher in the complexes which have more parking spaces and the ratio of underground parking is higher. Third, Childcare households do not prefer housing units smaller than 40㎡. Fourth, Childcare households consider accessibility to educational facilities more important than the distance to major transportation hubs or job centers.

Urban settlements quality in Kotabaru Village, Gondokusuman Subdistrict, Yogyakarta City

This research was conducted around the Code River, especially in Kotabaru village, Gondokusuman Subdistrict, Yogyakarta City. The purpose of this study is to examine the characteristics of urban settlements and analyze their quality. The data collection method was carried out by using the multistage random sampling method. This sampling technique was carried out in two stages, namely classifying and selecting samples randomly. Data processing was done by scoring method using Sturges’ rules. Quantitative data analysis was carried out using descriptive statistics, while qualitative data analysis was carried out by explaining the results of data processing in depth. The results showed that most of the houses had poor accessibility, poor physical building conditions, good environmental sanitation, and residential environment characteristics with moderate conditions. This study also found that the quality of settlements in the study area with poor, moderate, and good classes was 30.43%, 50%, 19.57%, respectively. Indicators that lead to poor quality of settlements include accessibility, number of health facilities, land area per person, distance of clean water sources from fecal dumps, road width, and tree cover.

주거환경 특성이 주거만족도와 주거보유의식 및 주거이동에 미치는 영향

1. CONTENTS (1) RESEARCH OBJECTIVES The purpose of this study is residential actual condition survey conducted from 2006 to 2020 is the subject of the study and using the most recent 2020 data are used to empirically analyze the influence of residential environment characteristics on residential satisfaction and residential ownership awareness and residential movement.
 (2) RESEARCH METHOD The method of this study conducted descriptive statistical analysis and factor analysis on the characteristic variables of the residential environment using SPSS 21 to understand the characteristics of the residential environment, residential satisfaction, residential ownership awareness, and residential movement. The study was conducted using a structural equation model using AMOS.
 (3) RESEARCH FINDINGS In this study, the characteristics of the residential environment were classified into factors such as accessibility, surrounding environment, and convenience of use, and each factor influenced residential satisfaction, residential ownership awareness, and residential movement. As a result of the structural equation model analysis, it was found that the surrounding environment had the greatest influence on residential satisfaction.
 Accessibility and surrounding environment directly affect residential movement, but convenience does not directly affect residential movement because the overall situation does not move as much as before due to COVID-19, and because non-face-to-face consumption culture spreads at home and solves most of daily life.
 2. RESULTS Among the characteristics of the residential environment, the surrounding environment had the greatest influence on housing satisfaction. Therefore, improvement of the residential environment is required.

이변량 프로빗 모형을 이용한 노인가구의 주거이동 의사 결정요인 분석

The purpose of the study is to analyze the determinants that affect elderly households’ intention to move and a potential destination (between regions or within a region), with the elderly who resides in Busan, Ulsan, and Gyengsangnam-do, by demographic characteristics, residential environmental characteristics, and economic characteristics, using Korea housing survey. The study uses a bivariate probit model for the analysis, considering the characteristics of dependent variables. The major findings are as followed. First, the variables influencing the elderly households’ intention to move and a potential destination are householder age, housing occupancy type, stress related to housing expense, and value of housing assets. Second, it is found that the variables only affecting the elderly households’ residential mobility plan are householder educational background, the number of household members, housing type, housing area, residential region, housing satisfaction, residential environment satisfaction, National Basic Living Security, and value of total assets. Third, the variable that has significant effects on the elderly households’ potential destination only is retirement status of householder. According to the findings, it is necessary to decide policy priority and prepare housing policy for the elderly households.

Association between maternal exposure to indoor air pollution and offspring congenital heart disease: a case\u2013control study in East China

BackgroundPrevious research suggested an association between maternal exposure to ambient air pollutants and the risk of congenital heart disease (CHD). However, the effect of individual prenatal exposure to indoor air pollutants on CHD occurrence was not reported.MethodsWe performed a hospital-based case–control study to investigate the association between personal air pollution exposure during pregnancy and the risk of CHD in offspring. A total of 44 cases and 75 controls were included from two hospitals in East China. We investigated maternal and residential environmental characteristics using a questionnaire and obtained personal indoor air samples to assess particulate matter (PM) and volatile organic compounds (VOCs) from 22–30 gestational weeks. Formaldehyde, benzene, toluene, xylene, total volatile organic compounds (TVOCs), PM2.5, and PM10 were assessed. Logistic regression was performed to assess associations and interactions between individual indoor air pollutants and CHD after adjusting for confounders. The potential residential environmental factors affecting the risks of indoor air pollutants on CHD were also assessed.ResultsMedian TVOC (0.400 vs. 0.005 mg/m3, P < 0.001) exposure levels in cases were significantly higher than controls. A logistic regression model adjusted for confounders revealed that exposure to high levels of indoor TVOCs (AOR 7.09, 95% CI 2.10–23.88) during pregnancy was associated with risks for CHD and the occurrence of some major CHD subtype in offspring. These risk effects were enhanced in pregnant women living in a newly renovated house but were mitigated by household use of smoke ventilators when cooking. We observed a positive interaction of maternal exposure to TVOCs and PM2.5 and the risk for CHD.ConclusionsMaternal exposure to indoor VOCs and PMs may increase the risk of giving birth to foetuses with CHD.

Multilevel Factors for Adiposity Change in a Population-Based Prospective Study of Black Breast Cancer Survivors.

PURPOSEUnfavorable weight change after breast cancer diagnosis increases the risk of mortality, but individual and neighborhood risk factors affecting postdiagnosis weight and body fat changes are unclear among Black women, who have higher rates of obesity and mortality than any other racial/ethnic group.METHODSAdiposity changes during the period approximately 10 months-24 months after diagnosis were evaluated among 785 women diagnosed between 2012 and 2018 and enrolled in the Women's Circle of Health Follow-Up Study, a population-based prospective cohort of Black breast cancer survivors in New Jersey. Multilevel factors for weight and fat mass change (with gain or loss defined as a relative difference of 3% or more, and considering whether changes were intentional or unintentional) were estimated using multivariable polytomous logistic regressions and multilevel models.RESULTSAdiposity gain was prevalent: 28% and 47% gained weight and body fat, respectively, despite a high baseline prevalence of overweight or obesity (86%). Risk factors for fat mass gain included receiving chemotherapy (relative risk ratio: 1.59, 95% CI, 1.08 to 2.33) and residing in neighborhoods with a greater density of fast-food restaurants (relative risk ratio comparing highest with lowest tertile: 2.18, 95% CI, 1.38 to 3.46); findings were similar for weight gain. Only 9% of women had intentional weight loss, and multilevel risk factors differed vastly from unintentional loss.CONCLUSIONBoth individual and neighborhood factors were associated with adiposity change among Black breast cancer survivors. Residential environment characteristics may offer clinically meaningful information to identify cancer survivors at higher risk for unfavorable weight change and to address barriers to postdiagnosis weight management.

A Comparative Study of Research Trends in Residential Design for the Elderly in Domestic and International Research Using Co-occurrence Analysis : Focusing on Web of Science Core Collection &amp;amp; the KCI-Korean Journal Database

In aging society, providing comfortable and optimized residential environment for the elderly is essential task for policy makers, designers, and researchers. The purpose of this research was to identify research trends in housing design for the elderly, both domestically in South Korea and in international, in order to propose a future research and a strategy for the research community. For this goal, we analyzed research documents published in domestic and international journal articles retrieved from Web of Science databases, using VOSviewer software for keyword co-occurrence analysis. The results show that international studies categorized as follows: (a) systems, services, and technologies, (b) care and health, (c) illness and life of the elderly (dementia, depression, etc.), and (d) macroperspective (population, project, government, and public-private partnership); domestic studies were categorized as (a) characteristics of residential environment, (b) studies on elderly care facilities, (c) architecture and interior design for the elderly, and (d) user needs and design elements. Compared to international research trends, those of domestic research tended to lack convergence of diverse areas and interest; thus, expansion of research interest towards more diverse disciplines including technology, health, medicine, nursing, and policy is necessary. The results provide insights for the direction of future research on the aging society of South Korea.

제주지역 고령화된 장애인과 노화에 따른 장애인의 주거환경특성에 관한 비교 연구

제주지역 고령화된 장애인과 노화에 따른 장애인의 주거환경특성에 관한 비교 연구

Compensation or cosmopolitan attitudes: Explaining leisure travel of Nordic urbanites

Inner cities have been recently linked to a higher volume of long-distance travel for leisure purposes of their residents when compared to suburban and rural areas. The compensation hypothesis proposes that this difference results from urban residents’ tendency to travel away to compensate for poor access to green spaces or to escape urban stressors. This paper tests two versions of this hypothesis using two softGIS surveys of young adults living in the capital regions: Helsinki in Finland and Reykjavik in Iceland. We also examine an alternative hypothesis of cosmopolitan attitude as the explaining factor. We consider the levels of consonance or dissonance between the residential preferences and the GIS-measured characteristics of residential environments, attitudes towards travel, and socio-demographic and lifestyle characteristics of respondents. We found weak and contextual support for the compensation hypothesis: neighborhood greenness was related to the number of trips in Helsinki, but not in Reykjavik. In both cities, the trend of increasing trip numbers along with the distance to the city center was explained mainly by the spatial clustering of cosmopolitan attitudes in the city centres. Private car ownership and summer cottage access were also significant predictors of domestic trips frequency. Overall the results suggest that the compensation effect is neither exclusive nor the most plausible explanation for differences in travel patterns between urban dwellers. Still, it might be at play in some circumstances. The results do not challenge compact city policies but suggest paying attention to additional travel demand due to the inadequacies of urban environments.

Relationship between Residential Environment Characteristics and Residents Depression: a review article

Relationship between Residential Environment Characteristics and Residents Depression: a review article

초등학교 학구의 주거 환경 특성이 학업성취도에 미치는 영향 - 서울시 노원구 사례를 중심으로

초등학교 학구의 주거 환경 특성이 학업성취도에 미치는 영향 - 서울시 노원구 사례를 중심으로

Individual and area-level determinants associated with C-reactive protein as a marker of cardiometabolic risk among adults: Results from the German National Health Interview and Examination Survey 2008-2011.

BackgroundHigh-sensitivity C-reactive protein (hsCRP) is a sensitive biomarker of systemic inflammation and is related to the development and progression of cardiometabolic diseases. Beyond individual-level determinants, characteristics of the residential physical and social environment are increasingly recognized as contextual determinants of systemic inflammation and cardiometabolic risks. Based on a large nationwide sample of adults in Germany, we analyzed the cross-sectional association of hsCRP with residential environment characteristics. We specifically asked whether these associations are observed independent of determinants at the individual level.MethodsData on serum hsCRP levels and individual sociodemographic, behavioral, and anthropometric characteristics were available from the German Health Interview and Examination Survey for Adults (2008–2011). Area-level variables included, firstly, the predefined German Index of Socioeconomic Deprivation (GISD) derived from the INKAR (indicators and maps on spatial and urban development in Germany and Europe) database and, secondly, population-weighted annual average concentration of particulate matter (PM10) in ambient air provided by the German Environment Agency. Associations with log-transformed hsCRP levels were analyzed using random-intercept multi-level linear regression models including 6,768 participants aged 18–79 years nested in 162 municipalities.ResultsNo statistically significant association of PM10 exposure with hsCRP was observed. However, adults residing in municipalities with high compared to those with low social deprivation showed significantly elevated hsCRP levels (change in geometric mean 13.5%, 95%CI 3.2%-24.7%) after adjusting for age and sex. The observed relationship was independent of individual-level educational status. Further adjustment for smoking, sports activity, and abdominal obesity appeared to markedly reduce the association between area-level social deprivation and hsCRP, whereas all individual-level variables contributed significantly to the model.ConclusionsArea-level social deprivation is associated with higher systemic inflammation and the potentially mediating role of modifiable risk factors needs further elucidation. Identifying and assessing the source-specific harmful components of ambient air pollution in population-based studies remains challenging.

Neighborhood Environments and Diabetes Risk and Control.

The objective of this review is to highlight the evidence on the association between contextual characteristics of residential environments and type 2 diabetes, to provide an overview of the methodological challenges and to outline potential topics for future research in this field. The link between neighborhood socioeconomic status or deprivation and diabetes prevalence, incidence, and control is robust and has been replicated in numerous settings, including in experimental and quasi-experimental studies. The association between characteristics of the built environment that affect physical activity, other aspects of the built environment, and diabetes risk is robust. There is also evidence for an association between food environments and diabetes risk, but some conflicting results have emerged in this area. While the evidence base on the association of neighborhood socioeconomic status and built and physical environments and diabetes is large and robust, challenges remain related to confounding due to neighborhood selection. Moreover, we also outline five paths forward for future research on the role of neighborhood environments on diabetes.

Neighbourhood deprivation and community nutrition environment: associations between the social and built environment and food availability

Eating habits are influenced by individual socioeconomic status (SES). As the association between neighbourhood characteristics and food availability is still unclear, we investigated the community nutrition environment in different neighbourhoods. Using official data of the city of Leipzig, we selected three neighbourhoods which differed in terms of their social (2 deprived vs. 1 affluent) and built (1 large housing estates vs. 2 historic buildings) environment. Data on food outlets were assessed via direct observation (ground truthing). Social and residential environment characteristics are associated with food availability. The proportion of fast food outlets is higher in deprived neighbourhoods compared to the affluent one (25%, 30.4% vs. 13.5%). Neighbourhoods with historic buildings offer a greater variety of food outlets. The greater availability of unhealthy food may contribute to the development of obesity. Preventive measures should consider the physical and social environment.

Examining the relationships between individual\u2019s time use and activity participations with their health indicators

PurposeUsing a three-week household activity-travel survey, this paper explores the relationship between individuals’ self-reported physical, mental and social health conditions and their time allocation for different types of in-home and out-of-home time activities.MethodsA path model is developed to investigate the roles of activity-travel time use on the self-reported health conditions, while the socio-demographics and residential environment characteristics are also considered.ResultsThe model results reveal heterogeneous impacts of different types of activities and intensities on individual’s self-reported health conditions. This study, however, did not find evidence of positive relationship between cycling and walking and self-reported physical health condition, which has been found in many developed countries. Presumably this is because in developing countries like Indonesia the individuals who walk and cycle are likely to be a part of economically disadvantaged groups who have less awareness to their own health conditions.ConclusionBeside activity and travel time use factors, age and working status were found significantly affecting the self-reported health conditions, regardless of respondents’ gender and income. Neighbourhood characteristics, such as population density, are also found positively correlated to self-reported respondents’ physical, social and mental health conditions.