ArticleBMC geriatrics2022
Neighbourhood socio-economic status and positive affectivity among older residents in Germany: a cross-sectional analysis with data from the Heinz Nixdorf Recall Study.
Article in BMC geriatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it, 2 citations in OpenAlex.
- Psychosocial and economic factors related to better health among older adults in Europe - a systematic review.Frontiers in public health · 2026Pooled it
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundPhysical and social neighbourhood characteristics can vary according to the neighbourhood socio-economic status (SES) and influence residents' perceptions, behaviours and health outcomes both positively and negatively. Neighbourhood SES has been shown to be predictive of mental health, which is relevant for healthy ageing and prevention of dementia or depression. Positive affectivity (PA) is an established indicator of mental health and might indicate a positive emotional response to neighbourhood characteristics. In this study, we focussed on the association of neighbourhood SES with PA among older residents in Germany and considered social integration and environmental perceptions in this association.
methodsWe used questionnaire-based data of the ongoing population-based Heinz Nixdorf Recall Study for our cross-sectional analysis, complemented by secondary data on social welfare rates in the neighbourhood of residents' address. PA was assessed using the Positive and Negative Affect Schedule (PANAS) in 2016. Linear regression models were performed to estimate the associations and adjusted for socio-demographic variables.
resultsHigher social welfare rates were associated with lower PA scores. The strongest negative association from the crude model (b = -1.916, 95%-CI [-2.997, -0.835]) was reduced after controlling for socio-demographic variables (b = -1.429, 95%-CI [-2.511, -0.346]). Social integration factors (b = -1.199, 95%-CI [-2.276, -0.121]) and perceived environmental factors (b = -0.875, 95%-CI [-1.971, 0.221]) additionally diminished the association of social welfare rates with PA in the full model (b = -0.945, 95%-CI [-2.037, 0.147]).
conclusionOur results suggest that neighbourhoods have an influence on the occurrence and the extent of PA. Public health interventions that address socio-economic disadvantage in the neighbourhood environment could be an effective and far-reaching way to reduce the risk of depression and depressive symptoms due to low PA in older residents.
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