Socioeconomic status as an effect modifier of the association between built environment and mortality in elderly Hong Kong Chinese: A latent profile analysis

2021 ◽  
Vol 195 ◽  
pp. 110830
Author(s):  
Jiesheng Lin ◽  
Jason Leung ◽  
Blanche Yu ◽  
Jean Woo ◽  
Timothy Kwok ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Hong Kong ◽  
Built Environment ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Hong Kong Chinese ◽  
Effect Modifier ◽  
Latent Profile

scholarly journals Longitudinal Association of Built Environment Pattern with Physical Activity in a Community-Based Cohort of Elderly Hong Kong Chinese: A Latent Profile Analysis

2020 ◽  
Vol 17 (12) ◽  
pp. 4275
Author(s):  
Jie-Sheng Lin ◽  
Faye Ya-Fen Chan ◽  
Jason Leung ◽  
Blanche Yu ◽  
Zhi-Hui Lu ◽  
...  
Keyword(s):  
Physical Activity ◽  
Hong Kong ◽  
Built Environment ◽  
Latent Profile Analysis ◽  
Green Space ◽  
Profile Analysis ◽  
Hong Kong Chinese ◽  
View Factor ◽  
Sky View Factor ◽  
Latent Profile

A large number of studies have focused on the associations between single built environment (BE) characteristics and physical activity (PA). Combinations of BE characteristics offer a more comprehensive approach to identify the BE–PA associations. We aimed to examine the BE–PA associations in a cohort of elderly Hong Kong Chinese. Between 2001 and 2003, 3944 participants (65–98 years of age) were recruited and followed for a mean of 7.8 years. BE characteristics were assessed via geographic information system. PA levels were obtained using the Physical Activity Scale for the Elderly questionnaire at baseline and three follow-ups. Latent profile analysis was first conducted to classify the BE characteristics, and linear mixed-effects models were then used to explore the longitudinal associations between the BE classes and changes in the PA levels. Three classes of BE were identified. Class 3 (characterized by greater green space and sky view factor) demonstrated a significant decline in household PA (β = −1.26, 95% confidence interval: −2.20, −0.33) during the study period, and a slower decline in walking PA (1.19 (0.42, 1.95)) compared with Class 2 (characterized by a greater proportion of residential land use). Our results indicate that BE patterns characterized by high green space and a sky view factor may help promote the walking PA level.

A latent profile analysis on patient empowerment programme in a Hong Kong primary care setting

2017 ◽  
Vol 100 (10) ◽  
pp. 1890-1897 ◽  
Author(s):  
Mike K.T. Cheung ◽  
Sam C.C. Chan ◽  
Anchor T.F. Hung ◽  
Angela Y.M. Leung ◽  
Albert Lee ◽  
...  
Keyword(s):  
Primary Care ◽  
Hong Kong ◽  
Latent Profile Analysis ◽  
Care Setting ◽  
Primary Care Setting ◽  
Profile Analysis ◽  
Patient Empowerment ◽  
Latent Profile

Associations of social cohesion and quality of life with objective and perceived built environments: a latent profile analysis among seniors

2020 ◽  
Author(s):  
J Hua ◽  
A S Mendoza-Vasconez ◽  
B W Chrisinger ◽  
T L Conway ◽  
M Todd ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Built Environment ◽  
Social Cohesion ◽  
Healthy Aging ◽  
Latent Profile Analysis ◽  
Profile Analysis ◽  
Life Study ◽  
Neighborhood Social Cohesion ◽  
Latent Profile

Abstract Background Healthy aging requires support from local built and social environments. Using latent profile analysis, this study captured the multidimensionality of the built environment and examined relations between objective and perceived built environment profiles, neighborhood social cohesion and quality of life among seniors. Methods In total, 693 participants aged 66–97 were sampled from two US locales in 2005–2008 as part of the Senior Neighborhood Quality of Life Study (SNQLS). Perceived social cohesion and quality of life were assessed using validated surveys. Six objective (geographic information system (GIS)-based) and seven perceived built environment latent profiles generated in previous SNQLS publications were used for analyses. Mixed-effects models estimated social cohesion and quality of life separately as a function of the built environment profiles. Results More walkable and destination-rich perceived built environment profiles were associated with higher social cohesion and quality of life. Objective built environment profiles were not associated with social cohesion and only positively associated with quality of life in only one locale (Baltimore/DC). Conclusions Latent profile analysis offered a comprehensive approach to assessing the built environment. Seniors who perceived their neighborhoods to be highly walkable and recreationally dense experienced higher neighborhood social cohesion and quality of life, which may set the stage for healthier aging.

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