Associations between neighbourhood design, neighbourhood socioeconomic status and sleep in adults

2019 ◽  
Vol 64 ◽  
pp. S233-S234
Author(s):  
R. Lukic ◽  
D.L. Olstad ◽  
P.K. Doyle-Baker ◽  
M.L. Potestio ◽  
G.R. McCormack
BMJ Open ◽  
2017 ◽  
Vol 7 (9) ◽  
pp. e017567
Author(s):  
Shimels Hussien Mohammed ◽  
Mulugeta Molla Birhanu ◽  
Tesfamichael Awoke Sissay ◽  
Tesfa Dejenie Habtewold ◽  
Balewgizie Sileshi Tegegn ◽  
...  

IntroductionIndividuals living in poor neighbourhoods are at a higher risk of overweight/obesity. There is no systematic review and meta-analysis study on the association of neighbourhood socioeconomic status (NSES) with overweight/obesity. We aimed to systematically review and meta-analyse the existing evidence on the association of NSES with overweight/obesity.Methods and analysisCross-sectional, case–control and cohort studies published in English from inception to 15 May 2017 will be systematically searched using the following databases: PubMed, EMBASE, Web of Sciences and Google Scholar. Selection, screening, reviewing and data extraction will be done by two reviewers, independently and in duplicate. The Newcastle–Ottawa Scale (NOS) will be used to assess the quality of evidence. Publication bias will be checked by visual inspection of funnel plots and Egger’s regression test. Heterogeneity will be checked by Higgins’s method (I2statistics). Meta-analysis will be done to estimate the pooled OR. Narrative synthesis will be performed if meta-analysis is not feasible due to high heterogeneity of studies.Ethics and disseminationEthical clearance is not required as we will be using data from published articles. Findings will be communicated through a publication in a peer-reviewed journal and presentations at professional conferences.PROSPERO registration numberCRD42017063889.


PLoS ONE ◽  
2017 ◽  
Vol 12 (1) ◽  
pp. e0169550
Author(s):  
Shih-Hsien Yang ◽  
Su-Feng Chen ◽  
Shin Nieh ◽  
Chia-Lin Liu ◽  
Yaoh-Shiang Lin ◽  
...  

2019 ◽  
Vol 29 (4) ◽  
pp. 796-801 ◽  
Author(s):  
J A de Wilde ◽  
M Eilander ◽  
B J C Middelkoop

Abstract Background Studies on the influence of neighbourhood socioeconomic status (N-SES) on overweight and obesity rates in children from different ethnic backgrounds are scarce. This study investigated the differential effect of N-SES on overweight (including obesity) and obesity prevalence in different ethnic groups, and if N-SES explains ethnic differences in the prevalence of overweight and obesity. Design A population based study of 109 766 body mass index (BMI) measurements of 86 209 children 2–15 years of Dutch, Turkish, Moroccan and South Asian descent. BMI class was determined with The International Obesity Task Force, and South Asian specific BMI cut-offs. WHO BMI criteria were applied for reference purposes. The effect of N-SES on prevalence rates was studied with generalized linear mixed models. Results Neighbourhood SES was negatively associated with overweight and obesity. However, the effect of N-SES on overweight was stronger in Dutch children (OR 0.75, 95% CI 0.73–0.77) than in Turkish (OR 0.86, 95% CI 0.82–0.90), Moroccan (OR 0.91, 95% CI 0.86–0.97) and South Asian (OR 0.90, 95% CI 0.84–0.96) children. The influence of N-SES on obesity showed a similar pattern, except for Moroccan children in whom obesity prevalence remained stable over the whole N-SES range. At the same N-SES, overweight and obesity prevalence was significantly higher in Turkish, Moroccan and especially South Asian children compared with Dutch children. Adjusting for N-SES attenuated the ethnic differences. Conclusions Neighbourhood SES was negatively associated with overweight and obesity rates in all ethnic groups, but only partly explained the ethnic differences in overweight and obesity prevalence.


2007 ◽  
Vol 16 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Marjan Drukker ◽  
Nicole Gunther ◽  
Jim van Os

AbstractThe present editorial discusses whether socioeconomic status of the individual and of the neighbourhood could be important in prevalence, treatment and prevention of psychiatric morbidity. Previous research showed that patients diagnosed with mental disorders are concentrated in socioeconomically disadvantaged areas. This could be the result of (1) an association between individual socioeconomic status and mental health, (2) an association between neighbourhood socioeconomic status and mental health, or (3) social selection. Research disentangling associations between individual and neighbourhood socioeconomic status on the one hand and mental health outcomes on the other, reported that neighbourhood socioeconomic disadvantage was associated with individual mental health over and above individual-level socioeconomic status, indicating deleterious effects for all inhabitants both poor and affluent. In conclusion, subjective mental health outcomes showed stronger evidence for an effect of neighbourhood socioeconomic status than research focussing on treated incidence. Within the group of patients, however, service use was higher in patients living in disadvantaged neighbourhoods. Social capital was identified as one of the mechanisms whereby neighbourhood socioeconomic disadvantage may become associated with observed reductions in mental health. After controlling for individual socioeconomic status, there is evidence for an association between neighbourhood socioeconomic status and objective as well as subjective mental health in adults. Evidence for such an association in young children is even stronger.


BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e028238 ◽  
Author(s):  
Shimels Hussien Mohammed ◽  
Tesfa Dejenie Habtewold ◽  
Mulugeta Molla Birhanu ◽  
Tesfamichael Awoke Sissay ◽  
Balewgizie Sileshi Tegegne ◽  
...  

ObjectiveLow neighbourhood socioeconomic status (NSES) has been linked to a higher risk of overweight/obesity, irrespective of the individual’s own socioeconomic status. No meta-analysis study has been done on the association. Thus, this study was done to synthesise the existing evidence on the association of NSES with overweight, obesity and body mass index (BMI).DesignSystematic review and meta-analysis.Data sourcesPubMed, Embase, Scopus, Cochrane Library, Web of Sciences and Google Scholar databases were searched for articles published until 25 September 2019.Eligibility criteriaEpidemiological studies, both longitudinal and cross-sectional ones, which examined the link of NSES to overweight, obesity or BMI, were included.Data extraction and synthesisData extraction was done by two reviewers, working independently. The methodological quality of included studies was assessed using the Newcastle-Ottawa Scale for the observational studies. The summary estimates of the relationships of NSES with overweight, obesity and BMI statuses were calculated with random-effects meta-analysis models. Heterogeneity was assessed by Cochran’s Q and I2 statistics. Subgroup analyses were done by age categories, continents, study designs and NSES measures. Publication bias was assessed by visual inspection of funnel plots and Egger’s regression test.ResultA total of 21 observational studies, covering 1 244 438 individuals, were included in this meta-analysis. Low NSES, compared with high NSES, was found to be associated with a 31% higher odds of overweight (pooled OR 1.31, 95% CI 1.16 to 1.47, p<0.001), a 45% higher odds of obesity (pooled OR 1.45, 95% CI 1.21 to 1.74, p<0.001) and a 1.09 kg/m2 increase in mean BMI (pooled beta=1.09, 95% CI 0.67 to 1.50, p<0.001).ConclusionNSES disparity might be contributing to the burden of overweight/obesity. Further studies are warranted, including whether addressing NSES disparity could reduce the risk of overweight/obesity.PROSPERO registration numberCRD42017063889


2016 ◽  
Vol 16 (1) ◽  
Author(s):  
Maria McInerney ◽  
Ilona Csizmadi ◽  
Christine M. Friedenreich ◽  
Francisco Alaniz Uribe ◽  
Alberto Nettel-Aguirre ◽  
...  

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