Neighborhood Features and Cognitive Function : Moderating Roles of Individual Socioeconomic Status
Copyright © 2023 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved..
INTRODUCTION: There is an interest in exploring the associations between neighborhood characteristics and individual cognitive function; however, little is known about whether these relationships can be modified by individual socioeconomic status, such as educational attainment and income.
METHODS: Drawing from the 2010-2018 Health and Retirement Study, this study analyzed 10,621 older respondents (aged 65+) with a total of 33,931 person-waves. These respondents did not have dementia in 2010 and stayed in the same neighborhood throughout the study period. Cognitive function was measured with a 27-point indicator biennially, and neighborhood characteristics (i.e., walkability, concentrated disadvantage, and social isolation) were assessed in 2010. All analyses were performed in 2023.
RESULTS: Cognitive function is positively associated with neighborhood walkability and negatively related to concentrated disadvantage, suggesting that exposures to these neighborhood characteristics have long-lasting impacts on cognitive function. Furthermore, individual socioeconomic status modifies the relationship between neighborhood characteristics and cognitive function. Compared with those graduating from college, respondents without a bachelor's degree consistently have lower cognitive function but the educational gap in cognitive function narrows with increases in walkability (b= -0.152, SE=0.092), and widens when neighborhood concentrated disadvantage (b=0.212, SE=0.070) or social isolation (b=0.315, SE=0.125) rises. The income gap in cognitive function shrinks with increases in walkability (b= -0.063, SE=0.027).
CONCLUSIONS: The moderating role of socioeconomic status indicates that low-socioeconomic status older adults who also live in disadvantaged neighborhoods face a higher risk of poor cognitive function. Low-education and low-income aging adults may have the most to gain from investments to improve neighborhood characteristics.
| Medienart: |
E-Artikel |
|---|
| Erscheinungsjahr: |
2024 |
|---|---|
| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:66 |
|---|---|
| Enthalten in: |
American journal of preventive medicine - 66(2024), 3 vom: 15. Feb., Seite 454-462 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Yang, Tse-Chuan [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Completed 23.02.2024 Date Revised 23.02.2024 published: Print-Electronic Citation Status MEDLINE |
|---|
| doi: |
10.1016/j.amepre.2023.10.012 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM363640436 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM363640436 | ||
| 003 | DE-627 | ||
| 005 | 20240229143759.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231226s2024 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.amepre.2023.10.012 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n1303.xml |
| 035 | |a (DE-627)NLM363640436 | ||
| 035 | |a (NLM)37871754 | ||
| 035 | |a (PII)S0749-3797(23)00428-2 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Yang, Tse-Chuan |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Neighborhood Features and Cognitive Function |b Moderating Roles of Individual Socioeconomic Status |
| 264 | 1 | |c 2024 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 23.02.2024 | ||
| 500 | |a Date Revised 23.02.2024 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2023 American Journal of Preventive Medicine. Published by Elsevier Inc. All rights reserved. | ||
| 520 | |a INTRODUCTION: There is an interest in exploring the associations between neighborhood characteristics and individual cognitive function; however, little is known about whether these relationships can be modified by individual socioeconomic status, such as educational attainment and income | ||
| 520 | |a METHODS: Drawing from the 2010-2018 Health and Retirement Study, this study analyzed 10,621 older respondents (aged 65+) with a total of 33,931 person-waves. These respondents did not have dementia in 2010 and stayed in the same neighborhood throughout the study period. Cognitive function was measured with a 27-point indicator biennially, and neighborhood characteristics (i.e., walkability, concentrated disadvantage, and social isolation) were assessed in 2010. All analyses were performed in 2023 | ||
| 520 | |a RESULTS: Cognitive function is positively associated with neighborhood walkability and negatively related to concentrated disadvantage, suggesting that exposures to these neighborhood characteristics have long-lasting impacts on cognitive function. Furthermore, individual socioeconomic status modifies the relationship between neighborhood characteristics and cognitive function. Compared with those graduating from college, respondents without a bachelor's degree consistently have lower cognitive function but the educational gap in cognitive function narrows with increases in walkability (b= -0.152, SE=0.092), and widens when neighborhood concentrated disadvantage (b=0.212, SE=0.070) or social isolation (b=0.315, SE=0.125) rises. The income gap in cognitive function shrinks with increases in walkability (b= -0.063, SE=0.027) | ||
| 520 | |a CONCLUSIONS: The moderating role of socioeconomic status indicates that low-socioeconomic status older adults who also live in disadvantaged neighborhoods face a higher risk of poor cognitive function. Low-education and low-income aging adults may have the most to gain from investments to improve neighborhood characteristics | ||
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Kim, Seulki |e verfasserin |4 aut | |
| 700 | 1 | |a Choi, Seung-Won Emily |e verfasserin |4 aut | |
| 700 | 1 | |a Halloway, Shannon |e verfasserin |4 aut | |
| 700 | 1 | |a Mitchell, Uchechi A |e verfasserin |4 aut | |
| 700 | 1 | |a Shaw, Benjamin A |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t American journal of preventive medicine |d 1987 |g 66(2024), 3 vom: 15. Feb., Seite 454-462 |w (DE-627)NLM01367370X |x 1873-2607 |7 nnns |
| 773 | 1 | 8 | |g volume:66 |g year:2024 |g number:3 |g day:15 |g month:02 |g pages:454-462 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1016/j.amepre.2023.10.012 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 66 |j 2024 |e 3 |b 15 |c 02 |h 454-462 | ||