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Song Y, Liu Y, Bai X, Yu H. Effects of neighborhood built environment on cognitive function in older adults: a systematic review. BMC Geriatr 2024; 24:194. [PMID: 38408919 PMCID: PMC10898015 DOI: 10.1186/s12877-024-04776-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2023] [Accepted: 02/03/2024] [Indexed: 02/28/2024] Open
Abstract
BACKGROUND In the background of an aging population, the risk of cognitive impairment in the older population is prominent. Exposure to complex neighborhood built environments may be beneficial to the cognitive health of older adults, and the purpose of this study was to systematically review the scientific evidence on the effects of neighborhood built environments on cognitive function in older adults. METHODS Keywords and references were searched in Web of Science, Pubmed, PsycINFO, and MEDLINE. Studies examining the relationship between the built environment and cognitive function in older adults were included. The neighborhood built environment as an independent variable was classified according to seven aspects: density, design, diversity, destination accessibility, public transportation distance, blue/green space, and built environment quality. The cognitive function as the dependent variable was classified according to overall cognitive function, domain-specific cognitive function, and incidence of dementia. The quality of the included literature was assessed using the National Institutes of Health's Observational Cohort and Cross-Sectional Study Quality Assessment Tool. RESULTS A total of 56 studies were included that met the inclusion criteria, including 31 cross-sectional studies, 23 longitudinal studies, 1 cross-sectional study design combined with a case-control design, and 1 longitudinal study design combined with a case-control design. Most of the studies reviewed indicate that the built environment factors that were positively associated with cognitive function in older adults were population density, street connectivity, walkability, number of public transportation stops around the residence, land use mix, neighborhood resources, green space, and quality of the neighborhood built environment. Built environment factors that were negatively associated with cognitive function in older adults were street integration, distance from residence to main road. The relationship between residential density, destination accessibility, and blue space with cognitive function in older adults needs to be further explored. CONCLUSION Preliminary evidence suggests an association between the neighborhood built environment and cognitive function in older adults. The causal relationship between the built environment and cognitive function can be further explored in the future using standardized and combined subjective and objective assessment methods, and longitudinal or quasi-experimental study designs. For public health interventions on the cognitive health of older adults, it is recommended that relevant authorities include the neighborhood built environment in their intervention programs.
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Affiliation(s)
- Yiling Song
- Department of Physical Education, Tsinghua University, Beijing, 100084, China
| | - Yunxi Liu
- Graduate School of Commerce, Waseda University, Tokyo, 169-8050, Japan
| | - Xiaotian Bai
- Department of Physical Education, Tsinghua University, Beijing, 100084, China
| | - Hongjun Yu
- Department of Physical Education, Tsinghua University, Beijing, 100084, China.
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Katayama O, Lee S, Bae S, Makino K, Chiba I, Harada K, Shinkai Y, Shimada H. Differential effects of lifestyle activities on disability incidence based on neighborhood amenities. BMC Geriatr 2023; 23:483. [PMID: 37563564 PMCID: PMC10416387 DOI: 10.1186/s12877-023-04170-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 07/13/2023] [Indexed: 08/12/2023] Open
Abstract
BACKGROUND This study examined the effect of neighborhood amenities on disability risk among community-dwelling older adults in Japan, based on lifestyle activities. METHOD This was an observational prospective cohort study. Participants comprised 13,258 older adults from the National Center for Geriatrics and Gerontology-Study of Geriatric Syndromes. We calculated participants' Walk Score using their home addresses and divided them into three groups: "car-dependent," "somewhat walkable," and "very walkable." We then calculated the average value of lifestyle activities. We divided the neighborhood amenity groups into two groups, "fewer lifestyle activities" and "more lifestyle activities," for a total of six groups. After identifying interactions between neighborhood amenities and lifestyle activities, Cox proportional hazard models to calculate hazard ratios for incident disability risk, based on neighborhood amenities and lifestyle activities. RESULTS An interaction occurred between neighborhood amenities and lifestyle activities (p < 0.05). Survival probabilities for incident disability based on lifestyle activities were estimated for each neighborhood amenity group: car-dependent, 1.62 (95% CI 1.07 to 2.46); somewhat walkable, 1.08 (95% CI 0.84 to 1.40); and very walkable, 1.05 (95% CI 0.87 to 1.27). Those with fewer lifestyle activities in the car-dependent group exhibited the highest risk of incident disability in the unadjusted and adjusted models. CONCLUSION Given that the aging population is increasing steadily, considering older adults' neighborhood amenities and lifestyle activities in their day-to-day lives can help clinicians to deliver more older adult-centered care. Incorporating the lifestyle activities and neighborhood amenities of older adults into care planning will lead to the design and development of integrated clinical and community screening programs.
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Affiliation(s)
- Osamu Katayama
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu City, 474-8511, Aichi, Japan.
- Japan Society for the Promotion of Science, Tokyo, Japan.
- Columbia University Irving Medical Center, New York, USA.
| | - Sangyoon Lee
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu City, 474-8511, Aichi, Japan
| | - Seongryu Bae
- Department of Health Care and Science, Dong-A University, Busan, Korea
| | - Keitaro Makino
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu City, 474-8511, Aichi, Japan
- Japan Society for the Promotion of Science, Tokyo, Japan
| | - Ippei Chiba
- Tohoku Medical Megabank Organization (ToMMo), Tohoku University, Sendai, Japan
| | - Kenji Harada
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu City, 474-8511, Aichi, Japan
| | - Yohei Shinkai
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu City, 474-8511, Aichi, Japan
| | - Hiroyuki Shimada
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu City, 474-8511, Aichi, Japan
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Du Q, Liu C, Liu Y, Li J, Gong X, Zhang Q, Li K. Investigation of long-term symptoms and influencing factors in patients with mild traumatic brain injury: A cross-sectional study. Int Emerg Nurs 2023; 69:101313. [PMID: 37348243 DOI: 10.1016/j.ienj.2023.101313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 05/11/2023] [Accepted: 05/25/2023] [Indexed: 06/24/2023]
Abstract
BACKGROUND Traumatic brain injury is the leading cause of death and disability in individuals under the age of 45, which places a heavy disease burden on patients and society. However, the prevalence of long-term symptoms in individuals who suffered from mild traumatic brain injury and how psychosocial factors affect their long-term symptoms remain unclear. OBJECTIVE To determine howpsychosocial factors influence long-term symptomsin individuals who suffered from mild traumatic brain injury as well as the prevalence of long-term symptoms. METHODS A demographic characteristics questionnaire, adapted self-report questionnaire of family relationship quality, revised Chinese version of the disease perception questionnaire, Rivermead postconcussion syndrome symptom questionnaire, Glasgow Outcome Scale-Extended, and Brief Symptoms Inventory 18 were used to collect data anonymously. Psychosocial factors associated with long-term symptoms in individuals who suffered from mild traumatic brain injury weremeasuredusingmultiple linear regression. RESULTS More than half of individuals who suffered from mild traumatic brain injury showed at least 1 long-term symptom after injury. Our results indicated that family relationship quality, disease perception, and demographic characteristics were related to the long-term symptoms of individuals who suffered from mild traumatic brain injury. CONCLUSIONS Our study shows that theprevalence of long-term symptomsfollowingmild traumatic brain injuryishigh. Psychosocial factors are related to patients' long-term symptoms. The findings indicate that healthcare administrators ought to adopt a robust health promotion strategy that prioritizes familial support and health education of diseases to ameliorate long-term symptoms in individuals who suffered from mild traumatic brain injury.
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Affiliation(s)
- Qiujing Du
- West China Hospital, Sichuan University/ West China School of Nursing, Sichuan University, Chengdu 610041, China
| | - Changqing Liu
- West China Hospital, Sichuan University/ West China School of Nursing, Sichuan University, Chengdu 610041, China
| | - Yuwei Liu
- West China Hospital, Sichuan University/ West China School of Nursing, Sichuan University, Chengdu 610041, China
| | - Jiafei Li
- West China Hospital, Sichuan University/ West China School of Nursing, Sichuan University, Chengdu 610041, China
| | - Xiaotong Gong
- West China Hospital, Sichuan University/ West China School of Nursing, Sichuan University, Chengdu 610041, China
| | - Qi Zhang
- West China Hospital, Sichuan University/ West China School of Nursing, Sichuan University, Chengdu 610041, China
| | - Ka Li
- West China Hospital, Sichuan University/ West China School of Nursing, Sichuan University, Chengdu 610041, China.
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Han Z, Xia T, Xi Y, Li Y. Healthy Cities, A comprehensive dataset for environmental determinants of health in England cities. Sci Data 2023; 10:165. [PMID: 36966167 PMCID: PMC10039331 DOI: 10.1038/s41597-023-02060-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Accepted: 03/08/2023] [Indexed: 03/27/2023] Open
Abstract
This paper presents a fine-grained and multi-sourced dataset for environmental determinants of health collected from England cities. We provide health outcomes of citizens covering physical health (COVID-19 cases, asthma medication expenditure, etc.), mental health (psychological medication expenditure), and life expectancy estimations. We present the corresponding environmental determinants from four perspectives, including basic statistics (population, area, etc.), behavioural environment (availability of tobacco, health-care services, etc.), built environment (road density, street view features, etc.), and natural environment (air quality, temperature, etc.). To reveal regional differences, we extract and integrate massive environment and health indicators from heterogeneous sources into two unified spatial scales, i.e., at the middle layer super output area (MSOA) and the city level, via big data processing and deep learning. Our data holds great promise for diverse audiences, such as public health researchers and urban designers, to further unveil the environmental determinants of health and design methodology for a healthy, sustainable city.
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Affiliation(s)
- Zhenyu Han
- Beijing National Research Center for Information Science and Technology (BNRist), Beijing, P. R. China
- Department of Electronic Engineering, Tsinghua University, Beijing, P. R. China
| | - Tong Xia
- Department of Computer Science and Technology, University of Cambridge, Cambridge, UK
| | - Yanxin Xi
- Department of Computer Science, University of Helsinki, Helsinki, Finland
| | - Yong Li
- Beijing National Research Center for Information Science and Technology (BNRist), Beijing, P. R. China.
- Department of Electronic Engineering, Tsinghua University, Beijing, P. R. China.
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Chen X, Lee C, Huang H. Neighborhood built environment associated with cognition and dementia risk among older adults: A systematic literature review. Soc Sci Med 2021; 292:114560. [PMID: 34776284 DOI: 10.1016/j.socscimed.2021.114560] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Revised: 11/04/2021] [Accepted: 11/06/2021] [Indexed: 12/25/2022]
Abstract
Cognitive impairment associated with aging is a serious and growing public health problem. This systematic literature review contributes to better understanding the current state of knowledge on the roles of neighborhood environments in supporting cognitive health in later life. Literature search was carried out in 2020 using the seven databases most relevant to the topic. This review was restricted to peer-reviewed observational and quantitative studies that focused on 1) community-dwelling older adults as target populations; 2) neighborhood built environments as independent variables; and 3) cognition or dementia as outcome variables. Thirty-seven studies published between 1989 and 2020 met the inclusion criteria. The neighborhood built environment domains covered in these included urbanity/rurality, land use, neighborhood physical disorder, transportation infrastructure, urban design, and urban nature. Neighborhood resources and green space exposure were most frequently studied and linked to cognition-related outcomes. Neighborhood built environment was shown to be more pertinent to older adults' global cognition, memory, and dementia. Physical activity showed a mediating role between neighborhood built environment and cognition. The effect of neighborhood built environment on cognitive function was stronger among older women and those with disabilities or lower socioeconomic status. Evidence on the relationship between neighborhood built environment and cognition/dementia among older adults is moderate. Our findings highlight the need for more standardized and longitudinal measures of neighborhood built environment and high-sensitivity cognitive tests that capture the specific and relevant domains of cognition, to facilitate further exploration of the mediating and moderating effects of neighborhood built environment with cognition/dementia in older adults. This review offers insights for future research and policy efforts toward creating communities to support cognitive health and aging in place.
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Affiliation(s)
- Xi Chen
- Department of Landscape Architecture and Urban Planning, College of Architecture, Texas A&M University, 3137 TAMU, College Station, TX, 77843 3137, USA.
| | - Chanam Lee
- Department of Landscape Architecture and Urban Planning, College of Architecture, Texas A&M University, 3137 TAMU, College Station, TX, 77843 3137, USA
| | - Hao Huang
- Department of Architecture, College of Architecture, Texas A&M University, 3137 TAMU, College Station, TX, 77843 3137, USA
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Katayama O, Lee S, Bae S, Makino K, Chiba I, Harada K, Shinkai Y, Shimada H. Life Satisfaction and the Relationship between Mild Cognitive Impairment and Disability Incidence: An Observational Prospective Cohort Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18126595. [PMID: 34205253 PMCID: PMC8296376 DOI: 10.3390/ijerph18126595] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Revised: 06/08/2021] [Accepted: 06/15/2021] [Indexed: 11/25/2022]
Abstract
The relationship between the incidence of disability and cognitive function has been clarified, but whether life satisfaction is related to this relationship is unclear. Therefore, the purpose of this study was to clarify whether life satisfaction is related to the relationship between the incidence of disability and mild cognitive impairment. We included 2563 older adults from the National Center for Geriatrics and Gerontology–Study of Geriatric Syndromes. Baseline measurements included cognitive, life satisfaction, and demographic characteristics. Life satisfaction was measured using the Life Satisfaction Scale, which was stratified into three levels based on the score: lower, moderate, and higher. Associations between disability incidence and mild cognitive impairment were examined for each group according to life satisfaction, and monthly assessment for disability was monitored through long-term care insurance certification for at least 2 years from the baseline. At a 35.5-month mean follow-up, 150 participants had developed a disability. The potential confounding factors adjusted hazard for incidence of disability in the group with lower life satisfaction was 1.88 (CI: 1.05–3.35; p = 0.034) for mild cognitive impairment. Mild cognitive impairment was associated with disability incidence, and the effect was more pronounced among older adults with lower life satisfaction.
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Affiliation(s)
- Osamu Katayama
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu 474-8511, Japan; (S.L.); (S.B.); (K.M.); (I.C.); (K.H.); (Y.S.); (H.S.)
- Japan Society for the Promotion of Science, Tokyo 102-0083, Japan
- Correspondence: ; Tel.: +81-562-45-5639
| | - Sangyoon Lee
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu 474-8511, Japan; (S.L.); (S.B.); (K.M.); (I.C.); (K.H.); (Y.S.); (H.S.)
| | - Seongryu Bae
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu 474-8511, Japan; (S.L.); (S.B.); (K.M.); (I.C.); (K.H.); (Y.S.); (H.S.)
| | - Keitaro Makino
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu 474-8511, Japan; (S.L.); (S.B.); (K.M.); (I.C.); (K.H.); (Y.S.); (H.S.)
- Japan Society for the Promotion of Science, Tokyo 102-0083, Japan
| | - Ippei Chiba
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu 474-8511, Japan; (S.L.); (S.B.); (K.M.); (I.C.); (K.H.); (Y.S.); (H.S.)
| | - Kenji Harada
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu 474-8511, Japan; (S.L.); (S.B.); (K.M.); (I.C.); (K.H.); (Y.S.); (H.S.)
| | - Yohei Shinkai
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu 474-8511, Japan; (S.L.); (S.B.); (K.M.); (I.C.); (K.H.); (Y.S.); (H.S.)
| | - Hiroyuki Shimada
- Department of Preventive Gerontology, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, 7-430 Morioka-cho, Obu 474-8511, Japan; (S.L.); (S.B.); (K.M.); (I.C.); (K.H.); (Y.S.); (H.S.)
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Neighbourhood Environment and Cognitive Vulnerability—A Survey Investigation of Variations Across the Lifespan and Urbanity Levels. SUSTAINABILITY 2020. [DOI: 10.3390/su12197951] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Background: Understanding the impact of local communities on wellbeing is a paramount Sustainable Development Goal. In order to inform people-centred planning interventions, it is important to understand what demographic groups need supportive communities the most and where. This study explored associations between perceived neighbourhood characteristics and cognitive vulnerability, and the moderating role of age and urbanity of the place of residence. Methods: A convenience sample of 224 Irish adults completed a survey assessing cognitive vulnerability and perceptions of neighbourhood qualities, together with sociodemographic and residential information. Correlational analyses explored bivariate associations as well as moderating effects. A subsample (n = 142) provided qualitative accounts of their preferences of neighbourhood characteristics. Results: Regression analyses showed that controlling for sociodemographic factors, higher self-reported neighbourhood pleasantness was associated with lower cognitive vulnerability, particularly in older adults who lived in the most rural and urban areas (p = 0.006). Qualitative accounts suggested urban–rural variations in perceived accessibility and perceptual stressors, and age-related variations in social preferences. Conclusions: Our findings indicate a complex association between neighbourhood characteristics and cognitive wellbeing, highlighting the potential benefits of neighbourhood pleasantness for cognition particularly for older people in very rural or very urbanised places. Implications for research and environmental interventions are discussed.
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