Opening the black box of the relationship between neighborhood socioeconomic status and mental health: Neighborhood social-interactive characteristics as contextual mechanisms

Jakobsen, Andreas Lindegaard; Jørgensen, Anja; Tølbøll, Lene; Johnsen, Sisse Buch

doi:10.1016/j.healthplace.2022.102905

Cited by 12 publications

(8 citation statements)

References 111 publications

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“…As shown in Table 4 , regression analysis of the baseline model shows that there is a significant positive correlation in subjective perception factors, among which the coefficients of work feelings, community trust, economic satisfaction and community security are 0.235, 0.254, 1.525, and 0.921, respectively. This means that better subjective feelings contribute to better mental health status, because better work experiences, friendly interpersonal relationships, higher income and higher sense of security mean lower levels of work stress and greater enthusiasm for life, a finding which is consistent with those recorded in previous studies ( Jakobsen et al, 2022 ; Shields-Zeeman and Smit, 2022 ). Second, in terms of the built environment, an increase in the greening space rate causes an increase of 0.001 point of mental health.…”

Section: Resultssupporting

confidence: 89%

Mental health in China: exploring the impacts of built environment, work environment, and subjective perception

Fang,

Lin,

Chen

et al. 2024

Front. Psychol.

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IntroductionThe shifting living and working conditions have profound impacts on the residents’ mental health. However, current research in this field has not remarkable investigated.MethodsThis study used the China Labor-force Dynamic Survey (CLDS) dataset from 2018 and relied on a regression model to examine the effects of the built environment, work environment, and subjective perception on the mental health of Chinese citizens. It also considers the circumstances of both migrants and local residents.ResultsThis study revealed significant correlations between mental health and greening space rate, road network density, commuting time, work feelings, community trust, economic satisfaction, and other factors. Additionally, the mental health of local residents was shown to be significantly affected by community security, while it shows no significance in migrants. Furthermore, a significant spatial autocorrelation was found in terms of mental health within the central and eastern regions of China.DiscussionThe findings of this study offer valuable insights that can be used to facilitate measures aimed at improving the mental health of residents and promoting the development of healthy cities.

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Section: Resultssupporting

confidence: 89%

Mental health in China: exploring the impacts of built environment, work environment, and subjective perception

Fang,

Lin,

Chen

et al. 2024

Front. Psychol.

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“…For example, disadvantaged neighbourhoods in Ireland are characterised by a higher proportion of children from families at risk of poverty (i.e., equivalised household income at or below 60% of the median income) and with material deprivation (i.e., inadequate material living standard) (Department of Children and Youth Affairs, 2020). Across different study contexts, disadvantaged neighbourhoods are more likely to be presented with lower quality neighbourhood built environments (Putra et al, 2022), more safety concerns (Jakobsen et al, 2022;Putra et al, 2022), weaker cohesion (Méndez et al, 2021), less social interactions (Jakobsen et al, 2022), and more disorder (Fong et al, 2019). Living in unfavourable neighbourhood conditions associated with lower family SES may further lead to worse mental health outcomes in children.…”

Section: Discussionmentioning

confidence: 99%

Neighbourhood characteristics and socioeconomic inequalities in child mental health: cross-sectional and longitudinal findings from the Growing Up in Ireland Study

Putra,

McInerney,

Robinson

et al. 2023

Preprint

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Background: We examined the role of neighbourhood characteristics in explaining socioeconomic inequalities in child mental health in Ireland.Methods: Data from Cohort ’08 of Growing Up in Ireland with Wave 3 (age 5) as the baseline and Wave 5 (age 9) as the follow-up (n=8,373 for cross-sectional and n=6,349 for longitudinal analyses) were used. Socioeconomic status (SES) indicators were caregiver education, occupation, and equivalised household income. Caregiver and teacher reports of total difficulties score (TDS) from the Strength and Difficulties Questionnaire were combined with a higher score indicating more mental health difficulties. Twenty neighbourhood items rated by caregivers were grouped into five domains (neighbourhood safety, built environments, cohesion, interaction, and disorder) using exploratory factor analysis. We used linear regression to assess the associations between SES indicators, neighbourhood characteristics, and TDS, controlling for sociodemographic covariates. Mediation analysis informed the extent to which (%) neighbourhood domains explained the SES-TDS associations. Network psychometric analysis was used to identify neighbourhood items that were most strongly linked to TDS.Results: Lower SES was consistently associated with a higher baseline, follow-up TDS, and longitudinal changes in TDS. Favourable neighbourhood domains (higher safety, cohesion, interaction, lower disorder) were associated with lower baseline and follow-up TDS. Neighbourhood safety, cohesion, and disorder were also associated with longitudinal changes in TDS across waves. Four neighbourhood domains (except built environments) explained the associations between SES and baseline and follow-up TDS by 3% to 18% in separate single mediation models, and these four domains in concert explained 12% to 23% in multiple mediation models. Built environments domain predicted TDS and mediated the associations between SES and baseline TDS (5% to 11%) in urban children only. No mediation of the associations between SES and longitudinal changes in TDS by neighbourhood domains was observed. Findings from network analysis indicated that specific concerns over “people being drunk or taking drugs in public” and whether “this is a safe neighbourhood” may act as key conceptual bridges between neighbourhood characteristics and TDS.Conclusions: Neighbourhood characteristics may explain cross-sectional socioeconomic inequalities in child mental health. Improving neighbourhood characteristics where lower-SES children live may be important to reduce SES-based inequalities in child mental health.

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“…Furthermore, the respondents were linked to neighbourhoods at age 3 with the use of georeferenced micro-areas developed by Lund 27. These areas have been used in previous studies to investigate different neighbourhood characteristics in a Danish context18 28 29 and have been shown to produce larger between-area variation compared with Danish administrative areas when focusing on mental health outcomes,18 28 29 as well as higher within-group sociodemographic homogeneity 27. The micro-areas were constructed with an automated redistricting algorithm to form the smallest areas possible that contained at least 100 inhabitants and were separated by large physical barriers, such as large roads.…”

Section: Methodsmentioning

confidence: 99%

“…Even though the complete pathway linking NSD to mental health outcomes is not fully understood, studies have found characteristics, such as perceived neighbourhood disorder14 15 and low levels of social cohesion and neighbourhood trust,16–18 to be mediating mechanisms. Such characteristics might be perceived as stressors to the residents, thereby linking NSD to increased stress responses, with a recent review study linking NSD to allostatic load, operationalised as a combination of biomarkers including stress-related hormones and secondary outcomes (subclinical disturbances in markers of cardiovascular, metabolic and immune functioning) 19…”

Section: Introductionmentioning

confidence: 99%

Long-term association between neighbourhood socioeconomic deprivation in early childhood and perceived stress in early adulthood: a multilevel cohort study

Jakobsen

2023

J Epidemiol Community Health

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BackgroundPrevious studies have shown that neighbourhood socioeconomic deprivation is related to mental health problems, with chronic stress responses as one possible biopsychological pathway; however, less is known about the possible long-term effects of neighbourhood deprivation throughout the life course. The aim of this study was to examine the association between neighbourhood socioeconomic deprivation in early childhood and perceived stress in early adulthood.MethodsData from the, Danish National Health Survey 2017 in which Cohen’s 10-item Perceived Stress Scale was measured (range 0–40) were used to follow a cohort consisting of all survey respondents aged 20–24 years born between 1992 and 1996. The respondents were linked to Danish register data, including data on the parent(s) with whom the respondents lived, to measure family-level socioeconomic characteristics, parental mental health problems and neighbourhood socioeconomic deprivation at age 3 for each respondent. Furthermore, the respondents were linked to georeferenced neighbourhoods. Linear mixed models were used to estimate the association between neighbourhood socioeconomic deprivation at age 3 and perceived stress at age 20–24.ResultsA 1 SD increase in neighbourhood socioeconomic deprivation in early childhood was associated with a 0.59-point increase in perceived stress in early adulthood (95% CI 0.41 to 0.77). The association was attenuated but remained statistically significant after controlling for individual and family characteristics and neighbourhood socioeconomic deprivation in early adulthood (coef 0.26, 95% CI 0.06 to 0.46).ConclusionThe findings suggest that children growing up in more socioeconomically deprived neighbourhoods may be prone to higher levels of perceived stress later in life.

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Opening the black box of the relationship between neighborhood socioeconomic status and mental health: Neighborhood social-interactive characteristics as contextual mechanisms

Cited by 12 publications

References 111 publications

Mental health in China: exploring the impacts of built environment, work environment, and subjective perception

Mental health in China: exploring the impacts of built environment, work environment, and subjective perception

Neighbourhood characteristics and socioeconomic inequalities in child mental health: cross-sectional and longitudinal findings from the Growing Up in Ireland Study

Long-term association between neighbourhood socioeconomic deprivation in early childhood and perceived stress in early adulthood: a multilevel cohort study

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