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      Assessing the role of criminality in neighbourhood safety feelings and self-reported health: results from a cross-sectional study in a Dutch municipality

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          Abstract

          Background

          Neighbourhood safety has repeatedly been shown to be associated with the health and well-being of the residents. Criminality is often seen as one of the key factors affecting neighbourhood safety. However, the relationship between crime, fear of crime and feelings of safety remains underexplored.

          Methods

          Data on socio-demographic, health and safety perceptions was extracted from the Maastricht municipality survey (the Netherlands) ( n = 9656 adults) and merged with data on official neighbourhood crime rates from the Police Registry. Pearson correlation coefficients and multilevel logistic regression models were computed to assess the association between aspects of objective and perceived criminality, individuals’ feelings of safety and health.

          Results

          The correlation between the police recorded crime and residents’ perceptions of the neighbourhood crime rates was weak (0.14–0.38), with the exception of violent crime (0.59), which indicates that other factors contribute to the perceptions of safety. In turn, the perception of higher rates of violent crime and more nuisance (on the scale 0–10) but not other types of crime or nuisance was positively associated with feeling unsafe (OR 1.27 [1.22;1.32] and 1.39 [1.33;1.46], respectively). Lower general feelings of safety at both the individual and neighbourhood level were consistently associated with worse self-rated health. Among different indicators of safety, the general feelings of safety had the most pronounced association with health, while subjective or objective measures of crime showed limited to no direct relationship with health.

          Conclusions

          Public health policies targeting safety as a social determinant of health should consider prioritizing areas of violent crime and nuisance to improve general feelings of safety. Further research is needed to understand which factors aside from criminality are driving residents’ feelings of safety.

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          Most cited references26

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          Neighborhoods and health.

          Features of neighborhoods or residential environments may affect health and contribute to social and race/ethnic inequalities in health. The study of neighborhood health effects has grown exponentially over the past 15 years. This chapter summarizes key work in this area with a particular focus on chronic disease outcomes (specifically obesity and related risk factors) and mental health (specifically depression and depressive symptoms). Empirical work is classified into two main eras: studies that use census proxies and studies that directly measure neighborhood attributes using a variety of approaches. Key conceptual and methodological challenges in studying neighborhood health effects are reviewed. Existing gaps in knowledge and promising new directions in the field are highlighted.
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            Correlation and simple linear regression.

            In this tutorial article, the concepts of correlation and regression are reviewed and demonstrated. The authors review and compare two correlation coefficients, the Pearson correlation coefficient and the Spearman rho, for measuring linear and nonlinear relationships between two continuous variables. In the case of measuring the linear relationship between a predictor and an outcome variable, simple linear regression analysis is conducted. These statistical concepts are illustrated by using a data set from published literature to assess a computed tomography-guided interventional technique. These statistical methods are important for exploring the relationships between variables and can be applied to many radiologic studies.
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              The built environment, neighborhood crime and constrained physical activity: an exploration of inconsistent findings.

              Personal safety is commonly cited in qualitative research as a barrier to local walking, yet the relationship between safety and constrained physical activity has received mixed support in quantitative studies. This paper reviews the quantitative evidence to date, seeking to explain the inconsistencies, and offers recommendations for future research. A social-ecological framework was adopted to explore the evidence linking crime-related safety, and factors that influence real and perceived safety, with constrained physical activity. Perceived safety tends to affect the physical activity of groups already known to exhibit greater anxiety about crime; and some elements of the built environment that influence safety appear to constrain physical activity. However the evidence is somewhat inconsistent, and this may be partly attributed to measurement limitations. Many studies employ generic safety measures that make implicit references to crime or use composite variables that lack specificity. Physical activity outcomes also require consideration, as only activities occurring locally outdoors are likely to be affected by neighborhood crime. Further research is required to tease out associations between real and perceived crime-related safety and physical activity, ideally employing behaviour and crime-specific measures, and addressing the moderating role of the social and built environments.
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                Author and article information

                Contributors
                +31 624 787278 , polina.putrik@maastrichtuniversity.nl
                Journal
                BMC Public Health
                BMC Public Health
                BMC Public Health
                BioMed Central (London )
                1471-2458
                9 July 2019
                9 July 2019
                2019
                : 19
                : 920
                Affiliations
                [1 ]ISNI 0000 0001 0481 6099, GRID grid.5012.6, Department of Health Promotion, School for Public Health and Primary Care (CAPHRI), , Maastricht University, ; Peter Debyeplein 1, 6229HA Maastricht, The Netherlands
                [2 ]Academic Collaborative Centre for Public Health Limburg, Public Health Service Southern Limburg, Heerlen, The Netherlands
                [3 ]ISNI 0000 0001 0481 6099, GRID grid.5012.6, Department of Epidemiology, School for Public Health and Primary Care (CAPHRI), , Maastricht University, ; Maastricht, The Netherlands
                [4 ]ISNI 0000000404654431, GRID grid.5650.6, Public Health, Academic Medical Center, ; Amsterdam, The Netherlands
                [5 ]ISNI 0000 0001 2208 0118, GRID grid.31147.30, National Institute of Public Health and the Environment (RIVM), ; Bilthoven, The Netherlands
                [6 ]ISNI 0000 0001 0943 3265, GRID grid.12295.3d, Tranzo Scientific Centre for Care and Welfare, , Tilburg University, ; Tilburg, The Netherlands
                [7 ]ISNI 0000 0001 0481 6099, GRID grid.5012.6, Department of Health Services Research, School for Public Health and Primary Care (CAPHRI), , Maastricht University, ; Maastricht, The Netherlands
                Author information
                http://orcid.org/0000-0002-9342-1861
                Article
                7197
                10.1186/s12889-019-7197-z
                6617657
                31288774
                d8dd7167-9932-4ec3-b664-a2ad2e143e71
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 18 March 2019
                : 19 June 2019
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Public health
                neighbourhood health,perceived safety,criminality,socio-economic factors
                Public health
                neighbourhood health, perceived safety, criminality, socio-economic factors

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