Investigating the Association between Outdoor Environment and Outdoor Activities for Seniors Living in Old Residential Communities.
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ABSTRACT:
SUBMITTER: Yu S
PROVIDER: S-EPMC8307385 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundChina is presently facing the challenge of meeting enormous health demands because of its rapidly aging society. Enrolling older persons in eldercare institutions is a helpful alternative for relieving family caregivers and promoting healthy aging. However, changes in the living environment may negatively affect the mental health of the elderly.ObjectiveTo explore the association between different living arrangements and depressive symptoms among over-65-year-old people in China and the moderating role of outdoor activities.MethodThe 2018 wave of the Chinese Longitudinal Healthy Longevity Survey (CLHLS) used a mixed sampling method to collect the health and demographic information of 15,874 older adults over 65 years from 23 provinces in China. After considering this study's inclusion and exclusion criteria, the final sample comprised 12,200 participants. The participants' risk of depressive symptoms was assessed using the 10-item Center for Epidemiologic Studies Depression Scale (CESD-10). The potential association between the two elements was tested using a regression model.ResultThis study's findings suggested a significant relationship between depressive symptoms and living arrangements (P < 0.001). Participants living alone and those living in eldercare institutions had 1.26-times (95%CI: 1.10-1.44) and 1.39-times (95%CI: 1.09-1.77) higher risks of depressive symptoms, respectively, than those living with household members. Outdoor activities play a moderating role between different living arrangements and depressive symptoms. Among participants who engaged in outdoor activities, no significant difference was observed in the risk of depressive symptoms between those living in eldercare institutions and those living with household members (adjusted odds ratio = 1.15, 95%CI = 0.81-1.64, P = 0.426).ConclusionThe high risk of depressive symptoms among older Chinese people living alone or in eldercare institutions requires considerable attention. The evidence from this study suggests that older people living alone and those living in eldercare institutions should regularly engage in appropriate outdoor activities.
| S-EPMC9386358 | biostudies-literature
Project description:Purpose of the studyTo describe the development and psychometric testing of the Seniors' Outdoor Survey (SOS), an instrument for evaluating how well the outdoor space in a long-term care setting supports the preferences and outdoor usage of residents.Design and methodsContent validity of the main SOS items initially was based on relevant literature and preliminary studies in diverse long-term care settings. After conducting a multiregional pilot study with 152 outdoor spaces at 68 assisted living facilities, the instrument was substantially revised and tested for interrater and test-retest reliability with 22 outdoor spaces at 12 long-term care settings, using 2 raters. Validity was examined using content analysis of resident survey responses (N = 1,128) from the multiregional study and specific item validation by subject matter experts (N = 53).ResultsThe final instrument contains 60 ratable items organized in 5 domains: access to nature (14 items), outdoor comfort and safety (15 items), walking and outdoor activities (14 items), indoor-outdoor connection (11 items), and connection to the world (6 items). Intraclass correlation coefficient (ICC) estimates of interrater reliability were .91 for the overall instrument, ranging from .83 to .98 for the 5 domains. Interrater reliability (ICC) was above .70 for more than 79% of individual items. Test-retest reliability (ICC) was .92, ranging from .81 to .98 for domains.ImplicationsThe SOS tool fills a gap in the available environmental assessment instruments, providing a reliable way for researchers, providers, and designers to evaluate and compare the supportive potential of outdoor spaces for long-term care residents.
| S-EPMC5014012 | biostudies-literature
Project description:The microbiota of the built environment is linked to usage, materials and, perhaps most importantly, human health. Many studies have attempted to identify ways of modulating microbial communities within built environments to promote health. None have explored how these complex communities assemble initially, following construction of new built environments. This study used high-throughput targeted sequencing approaches to explore bacterial community acquisition and development throughout the construction of a new build. Microbial sampling spanned from site identification, through the construction process to commissioning and use. Following commissioning of the building, bacterial richness and diversity were significantly reduced (P < 0.001) and community structure was altered (R2 = 0.14; P = 0.001). Greater longitudinal community stability was observed in outdoor environments than indoor environments. Community flux in indoor environments was associated with human interventions driving environmental selection, which increased 10.4% in indoor environments following commissioning. Increased environmental selection coincided with a 12% reduction in outdoor community influence on indoor microbiomes (P = 2.00 × 10-15). Indoor communities became significantly enriched with human associated genera including Escherichia, Pseudomonas, and Klebsiella spp. These data represent the first to characterize the initial assembly of bacterial communities in built environments and will inform future studies aiming to modulate built environment microbiota.
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Project description:Large-scale campus resembles a small "semi-open community," harboring disturbances from the exchanges of people and vehicles, wherein stressors such as temperature and population density differ among the ground surfaces of functional partitions. Therefore, it represents a special ecological niche for the study on microbial ecology in the process of urbanization. In this study, we investigated outdoor microbial communities in four campuses in Wuhan, China. We obtained 284 samples from 55 sampling sites over six seasons, as well as their matching climatic and environmental records. The structure of campus outdoor microbial communities which influenced by multiple climatic factors featured seasonality. The dispersal influence of human activities on microbial communities also contributed to this seasonal pattern non-negligibly. However, despite the microbial composition alteration in response to multiple stressors, the overall predicted function of campus outdoor microbial communities remained stable across campuses. The spatial-temporal dynamic patterns on campus outdoor microbial communities and its predicted functions have bridged the gap between microbial and macro-level ecosystems, and provided hints toward a better understanding of the effects of climatic factors and human activities on campus micro-environments.
| S-EPMC6636667 | biostudies-literature
Project description:Indoor air in residential dwellings can contain a variety of chemicals, sometimes present at concentrations or in combinations which can have a negative impact on human health. Indoor Air Quality (IAQ) surveys are often required to characterize human exposure or to investigate IAQ concerns and complaints. Such surveys should include sufficient contextual information to elucidate sources, pathways, and the magnitude of exposures. The aim of this review was to investigate and describe the parameters that affect IAQ in residential dwellings: building location, layout, and ventilation, finishing materials, occupant activities, and occupant demography. About 180 peer-reviewed articles, published from 01/2013 to 09/2021 (plus some important earlier publications), were reviewed. The importance of the building parameters largely depends on the study objectives and whether the focus is on a specific pollutant or to assess health risk. When considering classical pollutants such as particulate matter (PM) or volatile organic compounds (VOCs), the building parameters can have a significant impact on IAQ, and detailed information of these parameters needs to be reported in each study. Research gaps and suggestions for the future studies together with recommendation of where measurements should be done are also provided.
| S-EPMC9828800 | biostudies-literature
Project description:SPHERE is a large multidisciplinary project to research and develop a sensor network to facilitate home healthcare by activity monitoring, specifically towards activities of daily living. It aims to use the latest technologies in low powered sensors, internet of things, machine learning and automated decision making to provide benefits to patients and clinicians. This dataset comprises data collected from a SPHERE sensor network deployment during a set of experiments conducted in the 'SPHERE House' in Bristol, UK, during 2016, including video tracking, accelerometer and environmental sensor data obtained by volunteers undertaking both scripted and non-scripted activities of daily living in a domestic residence. Trained annotators provided ground-truth labels annotating posture, ambulation, activity and location. This dataset is a valuable resource both within and outside the machine learning community, particularly in developing and evaluating algorithms for identifying activities of daily living from multi-modal sensor data in real-world environments. A subset of this dataset was released as a machine learning competition in association with the European Conference on Machine Learning (ECML-PKDD 2016).
| S-EPMC10036321 | biostudies-literature
Project description:PurposeCritically ill old intensive care unit (ICU) patients suffering from Sars-CoV-2 disease (COVID-19) are at increased risk for adverse outcomes. This post hoc analysis investigates the association of the Activities of Daily Living (ADL) with the outcome in this vulnerable patient group.MethodsThe COVIP study is a prospective international observational study that recruited ICU patients ≥ 70 years admitted with COVID-19 (NCT04321265). Several parameters including ADL (ADL; 0 = disability, 6 = no disability), Clinical Frailty Scale (CFS), SOFA score, intensive care treatment, ICU- and 3-month survival were recorded. A mixed-effects Weibull proportional hazard regression analyses for 3-month mortality adjusted for multiple confounders.ResultsThis pre-specified analysis included 2359 patients with a documented ADL and CFS. Most patients evidenced independence in their daily living before hospital admission (80% with ADL = 6). Patients with no frailty and no disability showed the lowest, patients with frailty (CFS ≥ 5) and disability (ADL < 6) the highest 3-month mortality (52 vs. 78%, p < 0.001). ADL was independently associated with 3-month mortality (ADL as a continuous variable: aHR 0.88 (95% CI 0.82-0.94, p < 0.001). Being "disable" resulted in a significant increased risk for 3-month mortality (aHR 1.53 (95% CI 1.19-1.97, p 0.001) even after adjustment for multiple confounders.ConclusionBaseline Activities of Daily Living (ADL) on admission provides additional information for outcome prediction, although most critically ill old intensive care patients suffering from COVID-19 had no restriction in their ADL prior to ICU admission. Combining frailty and disability identifies a subgroup with particularly high mortality.Trial registration numberNCT04321265.
| S-EPMC8931579 | biostudies-literature
Project description:Background: In different parts of the world new models of senior housing have rapidly appeared, which indicates that existing housing and care models are not fulfilling the hopes and needs of current and new generations of older people. Material and Methods: This qualitative study focuses on one type of communal senior housing complex located in a mid-sized town in Central Finland. The complex was designed to have accessible low-maintenance apartments and common spaces, and to be near easily accessible green spaces, amenities, services, and public transport. The complex has a part-time community coordinator. The minimum age limit is set at 55 years. The data consists of 36 qualitative interviews with residents (21 women, 15 men) aged 66-93, conducted between November 2018 and February 2019. The semi-structured interviews were recorded and transcribed. The data analysis focused on how different aspects of the manmade, natural, and social environment were portrayed in residents' descriptions of day-to-day life. Theoretical framework adopted for the study draws from the ideas of environmental and geographic gerontology. The data was analyzed using positioning analysis which is one form of discourse analysis. Results: The senior housing in this study fulfilled its promise of providing accessible a physical and social environment which encourages and enables residents to be physically active and independent, yet which also provides social activities and feeling safe. In this respect, the senior housing complex offered an environment which supports well-being and healthy aging. However, the residents' interpretations of what the senior housing complex represented varied. For some of the residents it was first and foremost a social place, which provided opportunities for social contacts and social activities. For some of the residents the most important were maintenance-free apartments and outdoor areas. The question remains as to how social practices, in the form of government policies and market systems can support the development of different kinds of senior housing which are affordable and accessible for all.
| S-EPMC7890193 | biostudies-literature
Project description:BackgroundLittle was known about the relationship between perceived neighborhood environment and depression among residents living in mega-communities. Furthermore, the mediating effects of physical activity (PA) and anxiety in this relationship have not been investigated. Thus, this study aimed to comprehensively examine the association between perceived neighborhood environment and depression among residents living in mega-communities, and test whether PA and anxiety mediated the association.MethodsA cross-sectional study on perceived neighborhood environment and depression was conducted among individuals who lived in mega-communities (n = 665) in Guiyang, China from July to August 2022. Perceived neighborhood environment was assessed from the following six aspects: traffic, building quality, accessibility, neighborhood, indoor, and pollution. Depression was measured by the Patients Health Questionnaire-9. Structural equation model was used to evaluate the association between perceived neighborhood environment and depression, and test the mediating effect of PA and anxiety in this association.ResultsWe found that neighborhood (β = -0.144, p = 0.002) and PA (β = -0.074, p < 0.001) were both negatively associated with depression, while anxiety was positively associated with depression (β = 0.447, p < 0.001). Married residents were less likely to experience depression than residents of other marital status. PA played a mediator role in the relationship between accessibility and depression (β = 0.014, p = 0.033). PA mediated the relationship between neighborhood and depression (β = -0.032, p = 0.015). The mediating effect of anxiety in the relationship between perceived neighborhood environment and depression was not significant.ConclusionsThis study demonstrated that neighborhood, which was assessed by satisfaction with safety, hygiene, parking, greening, lighting, and building shape, was negatively associated with depression, and PA mediated the relationship.
| S-EPMC10836001 | biostudies-literature
Project description:ImportanceWith rapid urbanization, understanding the role of residential environments in the development of depression has gained importance. However, the potential associations of residential space and density with depression have been understudied.ObjectiveTo investigate longitudinal associations of residential livable space and density with depression.Design, setting, and participantsThis longitudinal cohort study used data from 2 waves of the FAMILY Cohort, a population-based cohort in the Hong Kong Special Administrative Region, China, recruited between February 28, 2009, and March 28, 2011, at baseline and followed up between August 3, 2011, and June 19, 2013, at wave 2. Data were analyzed from September 1, 2020, through August 10, 2021. A total of 16 968 participants aged 16 years or older underwent assessment using the Patient Health Questionnaire-9 (PHQ-9) and had complete data across all variables.ExposuresResidential density was objectively assessed at 3 scales (within apartment, building block, and at neighborhood level) at baseline and follow-up.Main outcomes and measuresDepressive symptoms were defined in terms of a PHQ-9 threshold greater than or equal to 5 and probable major depression with a cutoff value greater than or equal to 10. A continuous PHQ-9 score was used as a secondary outcome. Multilevel logistic regression models were used to examine associations of the residential density with probable major depression and depressive symptoms adjusted for time-varying sociodemographic and lifestyle factors, comorbidities, and other environment variables.ResultsOf the 16 968 participants with complete data, the mean (SD) age was 45.5 (16.7) years, and 9328 participants (55.0%) were women at baseline. The mean follow-up was 2.2 years (range, 1.3-3.6 years). At the household level, after full adjustments, each IQR increment in residential livable area was associated with lower odds of probable major depression (adjusted odds ratio [aOR], 0.84; 95% CI, 0.71-0.98; P = .03) and depressive symptoms (aOR, 0.93; 95% CI, 0.86-1.00; P = .04). At the building-block level, each IQR increment in block density was associated with higher odds of depressive symptoms (aOR, 1.11; 95% CI, 1.01-1.22; P = .03), but only in single-housing environment models. The results remained consistent in models with continuous PHQ-9 evaluation.Conclusions and relevanceThis study's findings suggest that residential livable space and block density may play a role in the development of depression. Integrated mental health and housing policies promoting mental capital in cities, such as health-optimized density at the household and building-block levels, might serve as a population approach to reduce the burden of depression.
| S-EPMC8556618 | biostudies-literature