Abstract 060: Associations of Neighborhood Walkability with Baseline Physical Activity and Sedentary Time among US South Asian Adults from the SAHELI Randomized Clinical Trial

Introduction: High neighborhood walkability, defined as presence of crosswalks, sidewalks, and parks, is associated with higher physical activity (PA) and lower sedentary time (ST) among United States (US) adults. The associations between neighborhood walkability, PA, and ST have not been studied among US South Asians adults, a group which experiences significantly higher cardiovascular disease (CVD) mortality compared to other race-ethnic groups. Methods: The SAHELI clinical trial randomized South Asian adults from the Chicago, IL metro area (18-65 years with CVD risk factors) to a 16-week lifestyle intervention versus a control group between 2018-2023. Baseline PA and ST were measured by an Actigraph worn by participants for 7 consecutive days. Moderate-to-vigorous physical activity (MVPA), light physical activity (LPA), and ST were defined by Troiano cut points. Neighborhood was defined by a 500-meter radius around participants’ home address. Neighborhood walkability measures included: the National Walkability Index (measured at the US Census block level), total number of crosswalks, total number of sidewalks, and percentage of neighborhood which contained a park, all measured by Google Street View. In separate models, multivariate linear regression evaluated the association between each neighborhood walkability measure and baseline MVPA, LPA, and ST, adjusting for age, sex, country-of-origin, years in US, and Actigraph wear time. Results: Participants from SAHELI with valid Actigraph data (defined as at least 600 min/day of wear time for >3 days) and geocoded neighborhood walkability data were included (N=432; 59% female, 98% immigrant, 79% Indian origin). Mean±SD MVPA was 24±19 min/day, LPA was 299±95 min/day, and ST was 564±136 min/day. Distribution of neighborhood walkability variables are shown in Figure . Neighborhood walkability exposures were not associated with MVPA. The National Walkability Index, total number of crosswalks, and total number of sidewalks were significantly associated with higher LPA and lower ST in maximally-adjusted models ( Figure ). The percentage of neighborhood containing a park was not associated with LPA or ST. Conclusion: National Walkability Index, number of neighborhood crosswalks and sidewalks were significantly associated with higher LPA and lower ST, but not with MVPA. Neighborhood walkability may be important to consider when designing CVD prevention interventions that promote PA and minimize ST among US South Asians.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-03-11
DOI
https://doi.org/10.1161/cir.151.suppl_1.060
Primary Topic
Cardiovascular Health and Risk Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 060: Associations of Neighborhood Walkability with Baseline Physical Activity and Sedentary Time among US South Asian Adults from the SAHELI Randomized Clinical Trial

Nicola Lancki, Juned Siddique, Neela D. Thangada, Namratha R. Kandula
Circulation
Cardiovascular Health and Risk Factors
article

Abstract 060: Associations of Neighborhood Walkability with Baseline Physical Activity and Sedentary Time among US South Asian Adults from the SAHELI Randomized Clinical Trial

Nicola Lancki, Juned Siddique, Neela D. Thangada, Namratha R. Kandula
article en

Abstract

Introduction: High neighborhood walkability, defined as presence of crosswalks, sidewalks, and parks, is associated with higher physical activity (PA) and lower sedentary time (ST) among United States (US) adults. The associations between neighborhood walkability, PA, and ST have not been studied among US South Asians adults, a group which experiences significantly higher cardiovascular disease (CVD) mortality compared to other race-ethnic groups. Methods: The SAHELI clinical trial randomized South Asian adults from the Chicago, IL metro area (18-65 years with CVD risk factors) to a 16-week lifestyle intervention versus a control group between 2018-2023. Baseline PA and ST were measured by an Actigraph worn by participants for 7 consecutive days. Moderate-to-vigorous physical activity (MVPA), light physical activity (LPA), and ST were defined by Troiano cut points. Neighborhood was defined by a 500-meter radius around participants’ home address. Neighborhood walkability measures included: the National Walkability Index (measured at the US Census block level), total number of crosswalks, total number of sidewalks, and percentage of neighborhood which contained a park, all measured by Google Street View. In separate models, multivariate linear regression evaluated the association between each neighborhood walkability measure and baseline MVPA, LPA, and ST, adjusting for age, sex, country-of-origin, years in US, and Actigraph wear time. Results: Participants from SAHELI with valid Actigraph data (defined as at least 600 min/day of wear time for >3 days) and geocoded neighborhood walkability data were included (N=432; 59% female, 98% immigrant, 79% Indian origin). Mean±SD MVPA was 24±19 min/day, LPA was 299±95 min/day, and ST was 564±136 min/day. Distribution of neighborhood walkability variables are shown in Figure . Neighborhood walkability exposures were not associated with MVPA. The National Walkability Index, total number of crosswalks, and total number of sidewalks were significantly associated with higher LPA and lower ST in maximally-adjusted models ( Figure ). The percentage of neighborhood containing a park was not associated with LPA or ST. Conclusion: National Walkability Index, number of neighborhood crosswalks and sidewalks were significantly associated with higher LPA and lower ST, but not with MVPA. Neighborhood walkability may be important to consider when designing CVD prevention interventions that promote PA and minimize ST among US South Asians.

CirculationVol. 151(Suppl_1)
Northwestern University (US)
Openalex Percentile: Top 87%
Cardiovascular Health and Risk Factors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.