Impact of subjective and objective neighbourhood characteristics and individual socioeconomic position on allostatic load: A cross-sectional analysis of an all-age UK household panel study

Whitley, Elise; Olsen, Jonathan; Benzeval, Michaela

doi:10.1016/j.healthplace.2022.102930

Cited by 6 publications

(2 citation statements)

References 72 publications

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“…These area characteristics, broadly denoted as marginalization indicators [13], have been associated with both socio-economic causation, and residential social drift interpretations of psychotic illness [14]. Social fragmentation may act as a contextual in uence as it "re ects potential lack of close/intimate relationships and transient residence in the area" [15].…”

Section: Spatial Variations In Psychosis and Ecological Modelsmentioning

confidence: 99%

Psychosis Prevalence in London Neighbourhoods; a Case Study in Spatial Confounding

Congdon

2022

Preprint

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A considerable body of research concerns spatial variations in psychosis and impacts of neighbourhood risk factors. Such research frequently adopts a disease mapping approach, with unknown spatially clustered neighbourhood influences summarised by random effects. However, added spatial random effects may show confounding with observed area predictors, especially when observed area predictors have a clear spatial pattern. In a case study application, the standard disease mapping model is compared to methods which account and adjust for spatial confounding in an analysis of psychosis prevalence in London neighbourhoods. Established area risk factors such as area deprivation, non-white ethnicity, greenspace access and social fragmentation are considered as influences on psychosis levels. The results show evidence of spatial confounding in the standard disease mapping model. Impacts expected on substantive grounds and available evidence are either nullified or reversed in direction. Inferences about excess relative psychosis risk in different small neighbourhoods are affected. It is argued that the potential for spatial confounding to affect inferences about geographic disease patterns and risk factors should be routinely considered in ecological studies of health based on disease mapping.

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Section: Spatial Variations In Psychosis and Ecological Modelsmentioning

confidence: 99%

Psychosis Prevalence in London Neighbourhoods; a Case Study in Spatial Confounding

Congdon

2022

Preprint

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“…The links between social and physical environmental exposures and AL have been well-established, including positive associations with adverse early life events, work-related stress, socio-economic deprivation, , and neighborhood-level risks . Urban greenspaces in our cities constitute important environmental exposure.…”

Section: Introductionmentioning

confidence: 99%

Association between Residential Greenness and Allostatic Load: A Cohort Study

Lai,

Kumari,

Gallacher

et al. 2024

Environ. Sci. Technol.

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The association between residential greenness and allostatic load (AL), a marker of composite physiological burden and predictor of chronic disease, remains understudied. This study comprised 212,600 UK Biobank participants recruited over 2007 and 2010 at the baseline. Residential greenness was modeled as the normalized difference vegetation index (NDVI) from high spatial resolution (0.50 m) color infrared imagery and measured within a 0.5 km radial catchment. AL was measured as a composite index from 13 biomarkers comprising three physiological systems (metabolic, cardiovascular, and inflammatory systems) and two organ systems (liver and kidney). Multilevel mixed-effects generalized linear models with a random intercept for UK Biobank assessment centers were employed to examine the association between residential greenness and AL. Each interquartile range (IQR = 0.24) increment in NDVI greenness was associated with lower AL (beta (β) = −0.28, 95% confidence interval (CI) = −0.55, −0.01). Consistently, relative to the lowest NDVI greenness quintile, participants in the highest quintile had lower AL (β = −0.64, 95% CI = −1.02, −0.26). The proportion of the association between greenness and AL mediated by the physical activity was 3.2%. In conclusion, residential greenness was protectively associated with AL, a composite marker of wear and tear and general health.

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Area-level Measures of the Social Environment: Operationalization, Pitfalls, and Ways Forward

Helbich,

Zeng,

Sarker

2024

Current Topics in Behavioral Neurosciences

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Impact of subjective and objective neighbourhood characteristics and individual socioeconomic position on allostatic load: A cross-sectional analysis of an all-age UK household panel study

Cited by 6 publications

References 72 publications

Psychosis Prevalence in London Neighbourhoods; a Case Study in Spatial Confounding

Psychosis Prevalence in London Neighbourhoods; a Case Study in Spatial Confounding

Association between Residential Greenness and Allostatic Load: A Cohort Study

Area-level Measures of the Social Environment: Operationalization, Pitfalls, and Ways Forward

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