Association Between Levels of Radon And Bioaerosols (Bacteria And Fungi) By Living Conditions

This study aimed to measure the levels of airborne radon (Rn) and bioaerosols—culturable airborne bacteria (CAB) and culturable airborne fungi (CAF)—in South Korea’s residential environments, considering living conditions such as the number of ventilations, number of windows, floors, temperature, and relative humidity. These levels were evaluated for 32 houses of residents from the socially vulnerable class. Rn gas and bioaerosols were sampled twice: in fall and summer. A self-report survey gathered residents’ information on their general characteristics (daily residence time, heating and cooking type, cleaning and washing cycle, etc.) and health condition scores (0–100 points) on the day of sampling. The range of Rn levels was 0.43–7.439 pCi/L with a median of 0.70 pCi/L. The CAB levels were 239–488 colony-forming unit (CFU)/m3 with a median of 309 CFU/m3, and CAF levels were 174–366 CFU/m3 with a median of 233 CFU/m3. Thus, this study found that semi-basement residential indoor environments negatively affected Rn and bioaerosol levels, and living in such residences resulted in high health condition scores.

Temperature Control System Using Mobile Application Interface

Temperature control becomes increasingly necessary with each day, be it in industrial, commercial or residential environments. In a similar way, technology has become a common tool in everyday life. Thus, the technologies need to accompany advances in the controls of processes in many fields, creating applications that can be used in mobile devices alongside these processes. Therefore, this paper proposes temperature monitoring of an environment, via Bluetooth wireless communication and with interface display on a mobile application, developed in MIT App Inventor. While implementing commands via hardware and software a procedure to lower room temperature was applied through a ventilation system. The data are collected through a DHT11 temperature sensor, and the wireless communication is through a HC-05 Bluetooth module, both connected to the development board Arduino. It was possible to condition the cooler to work accordingly with a preset temperature range by using its IDE (Integrated Development Environment). Thereby, this project is a low-cost and advantageous alternative to temperature control and monitoring supported by technological advancements.

Residential Environment, Depressive Symptoms, and Anxiety Symptoms Among Community-Living Older Adults

Past literature has suggested significant relationships between neighborhood environment and mental health of older adults. However, the effect of residential environments is underexplored. The present study aims to study: (Q1) how residential built environments are associated with depressive and anxiety symptoms among community-living older adults, and (Q2) whether the associations of their physical and cognitive health status with mental health vary by residential environments. We analyzed data from Round 9 of National Health and Aging Trends Study. Residential environments were indicated by home despair, cluttered home, and existence of entrance ramp. Covariates included age, gender, race, living arrangement, ADL limitations, physical capacity, and cognitive status. The logistic regression results show that higher levels of clutter at home and the lack of entrance ramp were significantly associated with more depressive symptoms and that levels of clutter were positively associated with anxiety symptoms. Residential environments significantly moderated the association between physical health and mental health. With similar physical capacity, older adults with higher levels of home despair and clutter had more depressive and anxiety symptoms. Older adults who had more cluttered home reported significantly higher levels of anxiety than those who had similar ADL limitations, but lived in a less cluttered housing environment. However, we didn’t find any moderating effect of residential environments on cognitive impairment and mental health. Our findings promote the necessity for practitioners and policymakers to consider the effect of residential environments on mental health among both physically healthy and impaired older adults in the United States.

The Influence of Emotional Health on the Activity Characteristics of the Elderly and the Selection of Environmental Quality Factors in Residential Areas

The environment in urban residential areas is the main field of daily activity for the elderly. Environmental renewal has played a significant role in improving residents’ quality of life and promoting physical and mental health. However, there is a general tendency that more attention has been focused on the environment during environmental renewal but not the residents. There is a continued lack of discussion on the emotional status of the elderly and its impact on outdoor activities. Based on the investigation of four types of typical residential environments in the Dalian residential area, a hierarchical linear model (HLM) has been constructed to reveal the influence of the emotional status of elderly persons on their activity characteristics and the selection of environmental quality factors. The results show that the distribution of older people with different emotional statuses varies among different residential types. The proportion of positive emotion is relatively high in the flat land in rows category, and the activity characteristics are significantly different under different emotional statuses. Among the four kinds of residential environments, which are (flat land in rows, flat land enclosed, slope, and mountainous) the environmental quality factors that have the highest impact on the emotional status of the elderly are greening quality (0.395), acoustic environment (0.167), environmental cleanliness (0.269), and greening quality (0.230), respectively. In the mountainous type, the impact of environmental quality factors on the emotional status of the elderly is the highest (39.7%), and the impact contributions of the other three environmental types are 23.3%, 8.9% and 20.1%, respectively. These research results provide helpful guidance for the scientific community about practical implementation of residential environmental renewal for the elderly.

Relationship between Physical Environment Satisfaction, Neighborhood Satisfaction, and Quality of Life in Gyeonggi, Korea

This study examined the relationship between physical environment satisfaction, neighborhood satisfaction, and quality of life (QoL) in Gyeonggi, Korea. As previous QoL studies have rarely dealt with residential environments or examined the interactions between the physical and social factors in residential environments, to close these knowledge gaps, this study took physical and social environment satisfaction factors as relevant influences on QoL. This study also verified the moderating effect of neighborhood satisfaction on QoL through physical environment satisfaction. This study analyzed a Quality of Life Survey that was conducted in Gyeonggi, Korea. The total number of samples in the survey was 20,000, covering all 31 districts in Gyeonggi Province. In addition, multistage stratified sampling based on the number of household members and housing types was applied to the sample design. This increases the representation of the data. As a result, it was found that higher satisfaction with the physical and neighborhood factors positively affected QoL, with satisfaction with the facilities having the most obvious effect. Neighborhood satisfaction was found to have a moderating effect between safety satisfaction and QoL. Many developing countries have tended to pursue quantitative growth with a focus on economic aspects, which has undermined overall urban sustainability. However, recent urban management has also emphasized qualitative growth, such as resident QoL, as being just as important for urban sustainability. Therefore, this study’s results have important policy implications for qualitative urban growth.

Urban Green Spaces, Greenness Exposure and Species Richness in Residential Environments and Relations with Physical Activity and BMI in Portuguese Adolescents

Environmental factors play an important role in obesity-related behaviors. Evidence indicates significant associations between weight and urban green spaces in adults, but it is not clear whether this relationship applies to adolescents. Therefore, our aim was to determine the associations between urban green spaces, greenness exposure and species richness in residential environments with physical activity and body mass index. Sixty-two adolescents between 12 and 18 years of age answered a self-administered questionnaire, providing information on height, weight, age, sex and home address. Data on socioeconomic deprivation were obtained from the European Index of Deprivation for Small Portuguese Areas. Physical activity levels were assessed using accelerometers. Urban green space counts and the normalized difference vegetation index values were measured using buffers along the roads with distances of 300, 500, 1000 and 1500 m from each participant’s residence. To quantify the species richness, the species richness index was used. Linear regression models were fitted to analyze whether urban green spaces, exposure to green spaces and species richness counts for each distance were associated with physical activity and self-reported body mass index. We did not find significant associations between the independent variables and the probability of overweight or obesity. The relationship between environmental variables, adolescents’ physical activity and body weight seems to be complex and further studies may contribute to better understanding of the topic.