1
|
Bouter DC, Ravensbergen SJ, Lakerveld J, Hoogendijk WJG, Grootendorst-van Mil NH. Associations between the urban environment and psychotic experiences in adolescents. Schizophr Res 2023; 260:123-131. [PMID: 37639836 DOI: 10.1016/j.schres.2023.08.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 06/28/2023] [Accepted: 08/13/2023] [Indexed: 08/31/2023]
Abstract
OBJECTIVE In 2050 two-thirds of the world's population is predicted to live in cities, which asks for a better understanding of how the urban environment affects mental health. Urbanicity has repeatedly been found to be a risk factor, in particular for psychosis. Here, we explored what factors of the urban exposome underlie the association between urban characteristics and psychotic experiences (PE) in adolescents. METHODS Participants were 815 adolescents (mean age 14.84 years, SD 0.78) from an at-risk cohort (greater Rotterdam area, the Netherlands) oversampled on their self-reported emotional and behavioral problems. We used linear regression analysis to examine the association with detailed geodata on urbanicity (surrounding address density), green space density (high and low vegetation), and mixed noise levels (road, rail, air, industry, and wind power) with PE in adolescents. Analyses were adjusted for multiple socio-economic and parental confounders. Furthermore, we explored sex-interaction effects. RESULTS Higher surrounding address density and low greenspace density were each independently associated with more PE (B = 0.18, 95 % CI 0.02; 0.34 and B = 0.17, 95 % CI 0.01; 0.32, respectively). High mixed noise levels were only associated with more PE in boys (B = 0.23, 95 % CI 0.01; 0.46). A sex-interaction effect was found for high urbanicity (B = -0.46, 95 % CI -0.77; -0.14) and low greenspace density (B = -0.49, 95 % CI -0.73; -0.11), illustrating that these associations with PE were specific for boys. CONCLUSION Multiple characteristics of living in an urban area are associated with more PE in adolescent boys. Our observations provide leads for prevention of mental health problems via urban designing.
Collapse
Affiliation(s)
- D C Bouter
- Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - S J Ravensbergen
- Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - J Lakerveld
- Amsterdam UMC, location Vrije Universiteit Amsterdam, Epidemiology and Data Science, De Boelelaan 1117, Amsterdam, the Netherlands
| | - W J G Hoogendijk
- Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - N H Grootendorst-van Mil
- Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Epidemiological and Social Psychiatric Research Institute (ESPRi), Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, the Netherlands.
| |
Collapse
|
2
|
den Braver NR, Garcia Bengoechea E, Messing S, Kelly L, Schoonmade LJ, Volf K, Zukowska J, Gelius P, Forberger S, Woods CB, Lakerveld J. The impact of mass-media campaigns on physical activity: a review of reviews through a policy lens. Eur J Public Health 2022; 32:iv71-iv83. [PMID: 36444108 PMCID: PMC9706123 DOI: 10.1093/eurpub/ckac085] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND This review of reviews aimed to: (1) summarize the evidence from published reviews on the effectiveness of mass-media campaigns to promote physical activity (PA) or PA-related determinants (intermediate psychological and proximal outcomes) and (2) to identify policy-relevant recommendations related to successful PA campaigns. METHODS An extensive literature search was performed on 1 March 2021. Reviews that evaluated the impact of campaigns on distal (e.g. PA) and/or proximal outcomes of PA (awareness, knowledge, etc.) and that targeted the general population or subsets were included. Quality of reviews was assessed using the AMSTAR-2 tool. Policy-relevant recommendations were systematically derived and synthesized and formulated as good practice statements. A protocol was registered beforehand (ID: CRD42021249184). RESULTS A total of 1915 studies were identified, of which 22 reviews were included. The most consistent evidence was found for the effectiveness of mass-media campaigns on proximal outcomes, while the evidence for distal outcomes was mixed. Good practice statements were derived: (1) to achieve behaviour change, mass-media is an important component of larger, multilevel and multicomponent strategies; (2) mass-media strategies should be coordinated and aligned at local- and national-level and be sustained, monitored and resourced at these levels and (3) media should be tailored to reduce socioeconomic inequalities. CONCLUSIONS Mass-media can play an important role in the promotion of PA. In general, evidence was more inconsistent for effectiveness on distal outcomes than for proximal outcomes. Policy-relevant recommendations include that mass-media strategies should be resourced, coordinated, aligned, sustained, monitored and evaluated on the local and national level.
Collapse
Affiliation(s)
- Nicolette R den Braver
- Correspondence: Nicolette R. den Braver, Department of Epidemiology and Data Science, Amsterdam Public Health Research Institutes, Amsterdam University Medical Centres, De Boelelaan 1089a, 1081HV Amsterdam, The Netherlands, Tel: +31 20 44 430 80, e-mail:
| | - Enrique Garcia Bengoechea
- Department of Physical Education and Sport Sciences, Physical Activity for Health Research Cluster, Health Research Institute, University of Limerick, Limerick, Ireland,Research and Innovation Unit, Sport Ireland, Ireland
| | - Sven Messing
- Department of Sport Science and Sport, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Liam Kelly
- Department of Physical Education and Sport Sciences, Physical Activity for Health Research Cluster, Health Research Institute, University of Limerick, Limerick, Ireland
| | - Linda J Schoonmade
- Medical Library, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Kevin Volf
- Department of Physical Education and Sport Sciences, Physical Activity for Health Research Cluster, Health Research Institute, University of Limerick, Limerick, Ireland
| | - Joanna Zukowska
- Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Gdansk, Poland
| | - Peter Gelius
- Department of Sport Science and Sport, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Sarah Forberger
- Leibniz Institute for Prevention Research and Epidemiology—BIPS, Bremen, Germany
| | - Catherine B Woods
- Department of Physical Education and Sport Sciences, Physical Activity for Health Research Cluster, Health Research Institute, University of Limerick, Limerick, Ireland
| | - J Lakerveld
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institutes, Amsterdam University Medical Centres, Amsterdam, The Netherlands,Upstream Team, Amsterdam, The Netherlands
| |
Collapse
|
3
|
van den Brekel L, Lenters V, Mackenbach JD, Hoek G, Wagtendonk AJ, Lakerveld J, Grobbee DE, Vaartjes I. Ethnic and socioeconomic inequalities in relation to air pollution exposure in the Netherlands. Eur J Public Health 2022. [DOI: 10.1093/eurpub/ckac129.563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Air pollution (AP) contributes to a large disease burden and some populations are disproportionately exposed. It is unclear to what extent AP exposure differs across ethnic groups in the Netherlands and how this intersects with socioeconomic position (SEP). First, we identified differences in AP exposures between ethnic groups in the Netherlands. Second, we examined the interrelationships between ethnicity and SEP in relation to AP exposures.
Methods
We assessed AP exposures for residents of the Netherlands in 2019 (N = 17,251,511). Home address AP levels were estimated by dispersion models of the National Institute of Public Health and the Environment (RIVM). We linked exposure estimations of particulate matter <10 or < 2.5 μm (PM10, PM2.5), nitrogen dioxide (NO2), and elemental carbon (EC) to demographic data gathered by Statistics Netherlands. Absolute and relative differences in AP levels across ethnic groups were assessed. We conducted multivariable linear regression analyses and estimated marginal mean exposures to evaluate differences by ethnicity, SEP, age and sex within urban and rural areas. We tested for interactions and stratified accordingly.
Results
For the 40 largest minority ethnic groups (N > 18,314 per group), exposure to all pollutants was higher than for ethnic Dutch, with up to 1.5-fold differences for NO2. After stratification for urbanity and SEP, ethnic exposure inequalities persisted. For ethnic Dutch and some migrant groups, we found the lowest AP exposures in the middle SEP group (i.e. U-shaped trends), while we found linear patterns in other large migrant groups, with higher exposures at lower SEP.
Conclusions
Exposure to PM10, PM2.5, NO2, and EC was consistently higher in minority ethnic groups compared to ethnic Dutch. The association between SEP and AP levels showed different patterns between the majority ethnic Dutch and some of the largest minority ethnic groups. Further research is needed to define the equity and health implications.
Key messages
• Minority ethnic groups in the Netherlands are consistently exposed to higher levels of air pollution (PM10, PM2.5, NO2, and EC) than the ethnic Dutch population.
• Depending on the ethnic group, the association between SEP and air pollution exposure was either linear (i.e. lower exposures at higher SEP) or U-shaped (i.e. lower exposures in the middle SEP group).
Collapse
Affiliation(s)
- L van den Brekel
- Julius Center for Health Sciences and Primary Care, Utrecht University Medical Center , Utrecht, Netherlands
| | - V Lenters
- Julius Center for Health Sciences and Primary Care, Utrecht University Medical Center , Utrecht, Netherlands
- Institute for Risk Assessment Sciences, Utrecht University , Utrecht, Netherlands
| | - JD Mackenbach
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam , Amsterdam, Netherlands
- Upstream Team , Amsterdam , Amsterdam, Netherlands
- UMC, Vrije Universiteit Amsterdam , Amsterdam , Amsterdam, Netherlands
| | - G Hoek
- Institute for Risk Assessment Sciences, Utrecht University , Utrecht, Netherlands
| | - AJ Wagtendonk
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam , Amsterdam, Netherlands
| | - J Lakerveld
- Department of Epidemiology and Data Science, Amsterdam UMC, Vrije Universiteit Amsterdam , Amsterdam, Netherlands
- Upstream Team , Amsterdam , Amsterdam, Netherlands
- UMC, Vrije Universiteit Amsterdam , Amsterdam , Amsterdam, Netherlands
| | - DE Grobbee
- Julius Center for Health Sciences and Primary Care, Utrecht University Medical Center , Utrecht, Netherlands
| | - I Vaartjes
- Julius Center for Health Sciences and Primary Care, Utrecht University Medical Center , Utrecht, Netherlands
| |
Collapse
|
4
|
Woods C, Kelly L, Volf K, Gelius P, Messing S, Forberger S, Lakerveld J, den Braver N, Zukowska J. The development of the Physical Activity Environment Policy Index (PA-EPI): a tool for monitoring and benchmarking government policies and actions to improve physical activity. Eur J Public Health 2022. [DOI: 10.1093/eurpub/ckac129.270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
Insufficient physical activity (PA) is a global issue for health. A multifaceted response, including government action, is essential to improve population levels of PA. The purpose of this study was to develop the ‘Physical Activity Environment Policy Index’ (PA-EPI) monitoring framework to assess government policies and actions for creating a healthy PA environment.
Methods
An iterative process was undertaken. This involved a review of policy documents from authoritative organisations, a policy audit of four European countries, and systematic reviews of scientific literature. This was followed by an online consultation with academic experts (N = 101; 20 countries, 72% response rate), and policymakers (N = 40, 4 EU countries). During this process, consensus workshops where quantitative and qualitative data alongside theoretical and pragmatic considerations were used to inform PA-EPI development.
Results
The PA-EPI is conceptualised as a two-component ‘policy’ and ‘infrastructure support’ framework. The two components comprise eight policy and seven infrastructure support domains. The policy domains are education, transport, urban design, healthcare, public education (including mass media), sport-for-all, workplaces and community. The infrastructure support domains are leadership, governance, monitoring and intelligence, funding and resources, platforms for interaction, workforce development, and health-in-all-policies. Forty-five ‘good practice statements’ (GPS) or indicators of ideal good practice within each domain concludes the PA-EPI. A potential eight-step process for conducting the PA-EPI is described.
Conclusions
Once pre-tested and piloted in several countries of various sizes and income levels, the PA-EPI GPS will evolve into benchmarks established by governments at the forefront of creating and implementing policies to address inactivity.
Collapse
Affiliation(s)
- C Woods
- Physical Activity for Health Research Cluster, University of Limerick , Limerick, Ireland
| | - L Kelly
- Physical Activity for Health Research Cluster, University of Limerick , Limerick, Ireland
| | - K Volf
- Physical Activity for Health Research Cluster, University of Limerick , Limerick, Ireland
| | - P Gelius
- Department of Sport Science and Sport, Friedrich-Alexander-Universität Erlangen- Nürnberg , Erlangen, Germany
| | - S Messing
- Department of Sport Science and Sport, Friedrich-Alexander-Universität Erlangen- Nürnberg , Erlangen, Germany
| | - S Forberger
- Leibniz Institute for Prevention Research and Epidemiology , Bremen, Germany
| | - J Lakerveld
- Department of Epidemiology and Data Science, Amsterdam UMC, VU University Amsterdam , Amsterdam, Netherlands
- Upstream Team, VU University Amsterdam , Amsterdam, Netherlands
| | - N den Braver
- Department of Epidemiology and Data Science, Amsterdam UMC, VU University Amsterdam , Amsterdam, Netherlands
- Upstream Team, VU University Amsterdam , Amsterdam, Netherlands
| | - J Zukowska
- Faculty of Civil and Environmental Engineering, Gdansk University of Technology , Gdansk, Poland
| | | |
Collapse
|
5
|
Stuber JM, Mackenbach JD, Lakerveld J, Beulens JWJ. Real-life effects of nudging and pricing strategies in the supermarket to promote healthy diets. Eur J Public Health 2022. [DOI: 10.1093/eurpub/ckac129.550] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Unhealthy dietary patterns pose a major public health challenge. Individual-level efforts to promote heathy diets (e.g. nutrition education) have limited effect on the long term. Context-specific interventions focussing on point-of-purchase may create opportunities for sustainable dietary changes. We evaluated real-life effects of nudging and pricing strategies in supermarkets on dietary intake.
Methods
In this parallel cluster-randomised controlled trial, we randomized 12 Dutch supermarkets in socially deprived neighbourhoods to a control group (n = 6), or intervention group (n = 6). Healthy food nudges were implemented in intervention stores across 13 food groups, combined with healthy product price decreases and unhealthy product price increases. Eligible participants were aged 30-80 years and regular shoppers at participating stores. The primary outcome was dietary guideline adherence measured via an index score (0-150), at baseline and after 3, 6 and 12 months. Secondary outcomes included parameters of cardiometabolic health (HbA1c, lipid profile, and waist circumference), the percentage of healthy food purchases in the supermarket, socio-cognitive factors, and supermarket customer satisfaction. Effects were analysed with linear mixed models.
Results
This study included 173 participants from intervention clusters and 220 from control clusters. Preliminary evaluation of the 3-month follow-up data revealed no effectiveness of the nudging and pricing strategies compared to the control supermarkets in terms of dietary guideline adherence (β -0.8, 95%CI -4.2; 2.7). Results on all outcomes will be available at time of the conference.
Conclusions
This novel supermarket trial is the first to evaluate real-life long-term effects of nudging and pricing strategies based on a comprehensive set of study outcomes and using a strong methodological design. Findings can direct future design of context-specific interventions focussing on the promotion of healthy diets.
Key messages
• Context-specific interventions focussing on point-of-purchase may create opportunities for sustainable dietary changes.
• Findings from this supermarket trial testing real-life and long-term effects of nudging and pricing strategies can direct future design of context-specific interventions focussing on healthy diets.
Collapse
Affiliation(s)
- JM Stuber
- Epidemiology and Data Science, Amsterdam UMC , Amsterdam, Netherlands
| | - JD Mackenbach
- Epidemiology and Data Science, Amsterdam UMC , Amsterdam, Netherlands
| | - J Lakerveld
- Epidemiology and Data Science, Amsterdam UMC , Amsterdam, Netherlands
| | - JWJ Beulens
- Epidemiology and Data Science, Amsterdam UMC , Amsterdam, Netherlands
| |
Collapse
|
6
|
den Braver NR, Bengoechea EG, Messing S, Kelly L, Schoonmade LJ, Volf K, Zukowska J, Gelius P, Forberger S, Woods C, Lakerveld J. S09-2 The impact of mass-media campaigns on physical activity: a review of reviews through a policy lens. Eur J Public Health 2022. [PMCID: PMC9435356 DOI: 10.1093/eurpub/ckac093.046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
This review of reviews aims to summarize the evidence from published reviews on the effectiveness of mass-media campaigns to promote physical activity (PA), or PA-related determinants, and identify policy-relevant recommendations related to successful PA campaigns.
Methods
An extensive literature search was performed on March 1st, 2021. Reviews that evaluated the impact of campaigns on distal (e.g., PA) and/or proximal outcomes of PA (awareness, knowledge etc.) and that targeted the general population or subsets were included. Quality of reviews was assessed using the AMSTAR-2 tool. Policy-relevant recommendations were systematically derived and synthesized, and formulated as good practice statements. A protocol was registered beforehand (ID: CRD42021249184).
Results
A total of 1,915 studies were identified, of which 22 reviews were included. Results indicate that the most consistent evidence was found for the effectiveness of mass-media campaigns on proximal outcomes, while the evidence for distal outcomes was mixed. Good practice statements were derived: 1) to achieve behaviour change, mass-media is an important component of larger, multilevel, and multicomponent strategies, 2) mass-media strategies should be coordinated and aligned at local- and national-level, and be sustained, monitored and resourced at these levels, 3) media should be tailored to reduce socioeconomic inequalities.
Conclusions
Mass-media can play an important role in the promotion of PA. In general, evidence was more inconsistent for effectiveness on distal outcomes than for proximal outcomes. The policy-relevant recommendations identified will serve to inform the PA environment policy index (PA-EPI), a tool for monitoring, evaluating and benchmarking government progress in implementing public policies.
Collapse
Affiliation(s)
- Nicolette R den Braver
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institutes, Amsterdam University Medical Centres , De Boelelaan 1089a, Amsterdam 1081 HV, The Netherlands
- Upstream Team , www.upstreamteam.nl , De Boelelaan 1089a, Amsterdam 1081 HV, The Netherlands
| | - Enrique Garcia Bengoechea
- Physical Activity for Health Research Cluster, Health Research Institute, Department of Physical Education and Sport Sciences, University of Limerick , Limerick, Ireland
- Research & Innovation Unit , Sport Ireland, Ireland
| | - Sven Messing
- Department of Sport Science and Sport, Friedrich-Alexander-Universität Erlangen-Nürnberg , Gebbertstr. 123b, 91058 Erlangen, Germany
| | - Liam Kelly
- Physical Activity for Health Research Cluster, Health Research Institute, Department of Physical Education and Sport Sciences, University of Limerick , Limerick, Ireland
| | - Linda J Schoonmade
- Department of Sport Science and Sport, Friedrich-Alexander-Universität Erlangen-Nürnberg , Gebbertstr. 123b, 91058 Erlangen, Germany
| | - Kevin Volf
- Physical Activity for Health Research Cluster, Health Research Institute, Department of Physical Education and Sport Sciences, University of Limerick , Limerick, Ireland
| | - Joanna Zukowska
- Faculty of Civil and Environmental Engineering, Gdansk University of Technology , Narutowicza 11, Gdansk 80-233, Poland
| | - Peter Gelius
- Department of Sport Science and Sport, Friedrich-Alexander-Universität Erlangen-Nürnberg , Gebbertstr. 123b, 91058 Erlangen, Germany
| | - Sarah Forberger
- Leibniz Institute for Prevention Research and Epidemiology – BIPS, 28359 Bremen , Germany
| | - Catherine Woods
- Physical Activity for Health Research Cluster, Health Research Institute, Department of Physical Education and Sport Sciences, University of Limerick , Limerick, Ireland
| | - J Lakerveld
- Department of Epidemiology & Data Science, Amsterdam Public Health Research Institutes, Amsterdam University Medical Centres , De Boelelaan 1089a, Amsterdam 1081 HV, The Netherlands
- Upstream Team , www.upstreamteam.nl , De Boelelaan 1089a, Amsterdam 1081 HV, The Netherlands
| | | |
Collapse
|
7
|
Hoenink JC, Stuber JM, Lakerveld J, Waterlander W, Beulens JWJ, Mackenbach JD. The effect of on-shelf sugar labeling on beverage sales in the supermarket: a comparative interrupted time series analysis of a natural experiment. Int J Behav Nutr Phys Act 2021; 18:49. [PMID: 33823851 PMCID: PMC8025575 DOI: 10.1186/s12966-021-01114-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2020] [Accepted: 03/16/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Nutrition labels show potential in increasing healthy food and beverage purchases, but their effectiveness seems to depend on the type of label, the targeted food category and the setting, and evidence on their impact in real-world settings is limited. The aim of this study was to evaluate the effectiveness of an industry-designed on-shelf sugar label on the sales of beverages with no, low, medium and high sugar content implemented within a real-world supermarket. METHODS In week 17 of 2019, on-shelf sugar labels were implemented by a Dutch supermarket chain. Non-alcoholic beverages were classified using a traffic-light labeling system and included the beverage categories "green" for sugar free (< 1.25 g/250 ml), "blue" for low sugar (1.25-6.24 g/250 ml), "yellow" for medium sugar (6.25-13.5 g/250 ml) and "amber" for high sugar (> 13.5 g/250 ml). Store-level data on beverage sales and revenue from 41 randomly selected supermarkets for 13 weeks pre-implementation and 21 weeks post-implementation were used for analysis. In total, 30 stores implemented the on-shelf sugar labels by week 17, and the 11 stores that had not were used as comparisons. Outcome measures were differences in the number of beverages sold in the four label categories and the total revenue from beverage sales in implementation stores relative to comparison stores. Analyses were conducted using a multiple-group Interrupted Time Series Approach. Results of individual store data were combined using random effect meta-analyses. RESULTS At the end of the intervention period, the changes in sales of beverages with green (B 3.4, 95%CI -0.3; 7.0), blue (B 0.0, 95%CI -0.6; 0.7), yellow (B 1.3, 95%CI -0.9; 3.5), and amber (B 0.9, 95%CI -5.5; 7.3) labels were not significantly different between intervention and comparison stores. The changes in total revenues for beverages at the end of the intervention period were also not significantly different between intervention and comparison stores. CONCLUSION The implementation of an on-shelf sugar labeling system did not significantly decrease unhealthy beverage sales or significantly increase healthier beverage sales. Nutrition labeling initiatives combined with complementary strategies, such as pricing strategies or other healthy food nudging approaches, should be considered to promote healthier beverage purchases.
Collapse
Affiliation(s)
- J C Hoenink
- Department of Epidemiology and Data Science, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands. .,Upstream Team, www.upstreamteam.nl, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands.
| | - J M Stuber
- Department of Epidemiology and Data Science, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands.,Upstream Team, www.upstreamteam.nl, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands
| | - J Lakerveld
- Department of Epidemiology and Data Science, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands.,Upstream Team, www.upstreamteam.nl, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands
| | - W Waterlander
- Department of Public and Occupational Health, Amsterdam Public Health research institute, Amsterdam UMC, University of Amsterdam, Meibergdreef 9, Amsterdam, the Netherlands
| | - J W J Beulens
- Department of Epidemiology and Data Science, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands.,Upstream Team, www.upstreamteam.nl, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands.,Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Universiteitsweg 100, Utrecht, the Netherlands
| | - J D Mackenbach
- Department of Epidemiology and Data Science, Amsterdam Public Health research institute, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands.,Upstream Team, www.upstreamteam.nl, Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, Amsterdam, the Netherlands
| |
Collapse
|
8
|
den Braver NR, Lakerveld J, Rutters F, Schoonmade LJ, Brug J, Beulens JWJ. Correction to: Built environmental characteristics and diabetes: a systematic review and meta-analysis. BMC Med 2021; 19:63. [PMID: 33676484 PMCID: PMC7937232 DOI: 10.1186/s12916-020-01882-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
An amendment to this paper has been published and can be accessed via the original article.
Collapse
Affiliation(s)
- N R den Braver
- Department of Epidemiology & Biostatistics, Amsterdam Public Health, Research Institute, VU University Medical Center, De Boelelaan 1089a, 1081HV, Amsterdam, The Netherlands.
| | - J Lakerveld
- Department of Epidemiology & Biostatistics, Amsterdam Public Health, Research Institute, VU University Medical Center, De Boelelaan 1089a, 1081HV, Amsterdam, The Netherlands
| | - F Rutters
- Department of Epidemiology & Biostatistics, Amsterdam Public Health, Research Institute, VU University Medical Center, De Boelelaan 1089a, 1081HV, Amsterdam, The Netherlands
| | | | - J Brug
- Department of Epidemiology & Biostatistics, Amsterdam Public Health, Research Institute, VU University Medical Center, De Boelelaan 1089a, 1081HV, Amsterdam, The Netherlands.,Amsterdam School for Communication Research, University of Amsterdam, Amsterdam, The Netherlands
| | - J W J Beulens
- Department of Epidemiology & Biostatistics, Amsterdam Public Health, Research Institute, VU University Medical Center, De Boelelaan 1089a, 1081HV, Amsterdam, The Netherlands.,Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| |
Collapse
|
9
|
den Braver NR, Kok JG, Mackenbach JD, Rutter H, Oppert JM, Compernolle S, Twisk JWR, Brug J, Beulens JWJ, Lakerveld J. Environmental and individual characteristics associated with car use across Europe. Eur J Public Health 2020. [DOI: 10.1093/eurpub/ckaa165.230] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Abstract
Background
This study aimed to determine which neighbourhood- and individual-level characteristics were associated with car driving in adults of five urban areas across Europe, and to determine the percentage of variance in car driving explained by characteristics at both levels.
Methods
Neighbourhood environment characteristics potentially related to car use were identified from the literature. These characteristics were subsequently assessed using a Google Street View audit and available GIS databases, in 59 administrative residential neighbourhoods in five European urban areas. Car driving (min/week) and individual level characteristics were self-reported by study participants (analytic sample n = 4,258). We used linear multilevel regression analyses to assess cross-sectional associations of individual and neighbourhood-level characteristics with weekly minutes of car driving, and assessed explained variance at each level and for the total model.
Results
Higher residential density (β:-2.61, 95%CI: -4.99;-0.22) and higher land-use mix (β:-3.73, 95%CI: -5.61;-1.86) were significantly associated with fewer weekly minutes of car driving. At the individual level, higher age (β: 1.47, 95%CI: 0.60;2.33), male sex (β: 43.2, 95%CI:24.7; 61.7), being employed (β:80.1, 95%CI: 53.6; 106.5) and ≥3 person household composition (β: 47.4, 95%CI: 20.6;74.2) were associated with higher weekly minutes of car driving. Individual and neighbourhood characteristics contributed about equally to explained variance in minutes of weekly car driving, with 2% and 3% respectively.
Conclusions
Residential density and land-use mix were consistently associated with minutes of weekly car driving, besides age, sex, employment and household composition. Although total explained variance was low, both individual- and neighbourhood-level characteristics were similarly important in their associations with car use in five European urban areas.
Key messages
Both individual and neighbourhood level characteristics contributed equally to explained variation in car driving, across Europe. Higher residential density and land-use mix are consistently associated with lower care use.
Collapse
Affiliation(s)
- N R den Braver
- Epidemiology & Biostatistics, Amsterdam UMC, Amsterdam, Netherlands
| | - J G Kok
- Epidemiology & Biostatistics, Amsterdam UMC, Amsterdam, Netherlands
| | - J D Mackenbach
- Epidemiology & Biostatistics, Amsterdam UMC, Amsterdam, Netherlands
| | - H Rutter
- Department of Social and Policy Sciences, University of Bath, Bath, UK
| | - J M Oppert
- Department of Nutrition Pitié-Salpêtrière, Sorbonne Université, Institute of Cardiometabolism and Nutrition, Paris, France
- Centre de Recherche en Epidémiologie et Statistiques, Equipe de Recherche en Epidémiologie Nutritionnelle, Université Paris 13, Paris, France
| | - S Compernolle
- Department of Movement and Sport Sciences, Ghent University, Ghent, Belgium
| | - J W R Twisk
- Epidemiology & Biostatistics, Amsterdam UMC, Amsterdam, Netherlands
| | - J Brug
- National Institute for Public Health and the Environment, Bilthoven, Netherlands
- The Netherlands and the Amsterdam School for Communication R, University of Amsterdam, Amsterdam, Netherlands
| | - J W J Beulens
- Epidemiology & Biostatistics, Amsterdam UMC, Amsterdam, Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - J Lakerveld
- Epidemiology & Biostatistics, Amsterdam UMC, Amsterdam, Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
- Global Geo Health Data Center, Utrecht University, Utrecht, Netherlands
| |
Collapse
|
10
|
Volf K, Kelly L, García Bengoechea E, Gobis A, Lakerveld J, Zukowska J, Gelius P, Messing S, Forberger S, Woods C. Systematic review examining the evidence for impact of school policies on physical activity. Eur J Public Health 2020. [DOI: 10.1093/eurpub/ckaa165.1138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Abstract
Background
Epidemiological evidence has demonstrated that physical activity can have substantive health benefits for children and young people. The 'Policy Evaluation Network' is a multi-disciplinary research network across 7 European countries and New Zealand aimed at building capacity and evaluating the level of impact of policy interventions for promoting healthy lifestyles. The Toronto Charter identified 'whole-of-school' programmes as one of seven key investments for promotion of PA. This paper presents results of a SLR, designed to assess the level of evidence for policies within the school setting that contribute directly or indirectly to increasing PA.
Methods
Researchers searched six online databases for scientific literature regarding PA policy interventions in the school setting using key concepts of policy, school, PA and evaluation. Risk of bias will be assessed with tools appropriate to the design of the studies considered. Evidence of actual or potential positive PA outcomes arising directly or indirectly from policy actions will be catalogued.
Results
Preliminary searches identified 2327 unique scientific articles. 1938 (83.3%) were excluded on first reading and 189 (8.8%) were included for full text analysis. Initial findings suggest that organisational policies, for example avoiding overcrowding in playgrounds during school breaks, may be a promising policy action. Detailed analysis revealing other potential policy actions supported by evidence will be presented (SLR in progress).
Conclusions
Preliminary findings suggest that few studies link policy actions in the school setting to PA outcomes. However, studies that have investigated the effects of changes to the school environment on PA levels may provide evidence for policy actions. Preliminary recommendations include strengthening the evidence base for school-based PA policy by supporting studies into the effects of particular policy or legislative changes on PA outcomes.
Key messages
School physical activity policies are an underappreciated public health intervention. More studies should link policy changes to physical activity outcomes.
Collapse
Affiliation(s)
- K Volf
- Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland
| | - L Kelly
- Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland
| | - E García Bengoechea
- Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland
| | - A Gobis
- Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Gdansk, Poland
| | - J Lakerveld
- Amsterdam University Medical Center, Amsterdam, Netherlands
| | - J Zukowska
- Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Gdansk, Poland
| | - P Gelius
- Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - S Messing
- Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - S Forberger
- Leibniz Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
| | - C Woods
- Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland
| |
Collapse
|
11
|
Mackenbach J, Middel C, Beulens J, Lakerveld J, Broerse J, Schuitmaker-Warnaar TJ. Towards an impactful intervention in a food retail setting - insights from transition management. Eur J Public Health 2020. [DOI: 10.1093/eurpub/ckaa166.395] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Issue
Socioeconomic inequalities in diet and health form a persistent public health problem. Environmental, non-agentic interventions are most likely to be equitable, but have to be implemented in a wider system with interests other than health promotion.
Description of the Problem
The Supreme Nudge project (2017-2022) implements a health promotion intervention (niche experiment) in a supermarket setting (regime context). As a sufficiently impactful intervention is likely to conflict with interests of the setting, the Transition Management (TM) framework is used to guide design and implementation. Following the four steps in this cyclical model, we explore the context of the food retail system and identify key players; develop coalitions, shared visions and transition agendas; mobilize actors and implement the intervention; and evaluate, monitor and learn from the intervention. Interviews and focus groups were held to address these steps.
Results
The Dutch supermarket context consists of multiple chains that, after several price wars, are shifting competition from price to corporate social responsibility goals, including health promotion. Together with key supermarket players, a shared vision was defined: making healthy dietary choices easier while striving for neutral business outcomes. Transition paths towards this vision, including their barriers and facilitators, were explored. Additional actors were mobilized to adapt and refine intervention components, and the intervention will be implemented mid-2020. The intervention will be monitored and evaluated to facilitate upscaling.
Lessons
Applying the TM framework facilitated the development of coalitions and a shared vision, the co-creation of intervention components and identification of transition paths. This is likely to also benefit implementation and upscaling of the intervention. Applying the TM framework will also be useful for transferring successful interventions to other contexts.
Key messages
Implementing a health promotion in a food retail setting is challenging because of the conflicting interests. The Transition Management framework can facilitate successful implementation through creating a shared vision and foreseen transition paths.
Collapse
Affiliation(s)
- J Mackenbach
- Department of Epidemiology & Biostatistics, Amsterdam UMC, Amsterdam, Netherlands
| | - C Middel
- Athena Institute, Vrije Universiteit, Amsterdam, Netherlands
| | - J Beulens
- Department of Epidemiology & Biostatistics, Amsterdam UMC, Amsterdam, Netherlands
| | - J Lakerveld
- Department of Epidemiology & Biostatistics, Amsterdam UMC, Amsterdam, Netherlands
| | - J Broerse
- Athena Institute, Vrije Universiteit, Amsterdam, Netherlands
| | | |
Collapse
|
12
|
Forberger S, Gelius P, Messing S, Volf K, Kelly L, Taylor S, Zukowska J, Lakerveld J, Woods C. Sub-national structures matter when evaluating physical activity promotion: Lessons from Germany. Eur J Public Health 2020. [DOI: 10.1093/eurpub/ckaa166.393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Public policies are increasingly acknowledged as important part of promoting physical activity (PA). However, especially in states with sub-national administrative structures such as Germany, national and sub-national approaches differ considerably. In Germany, sport for all (SfA) promotion is mostly organized at sub-national level, which is usually not covered in national evaluations. Knowledge of these structures helps to understand national outcomes, enables comparisons and learning within and between countries, and assists in identifying support structures for effective PA promotion.
Methods
Data were collected in the PEN Policy Evaluation Network project. In addition to the WHO HEPA PAT, a questionnaire was sent to the sports representatives of the 16 federal states. Responses of 11 state representatives were included and overarching issues were identified using inductive thematic analysis.
Results
PA promotion in Germany is organized in three areas: SfA, professional sports and school sports. SfA promotion at sub-national level is assigned to different administrative bodies (ministries, senate administration, state chancellery) and policy areas: culture, health and care, home affairs with various aspects, education, social affairs and family. The priorities of the federal states are more diverse and specific compared to the national level. There is an overlap in the topics: urban planning, cycling, health prevention and targeting children. Cooperation mechanisms and partners vary between federal states, but some partners are active at sub-national and national level.
Conclusions
The results provide an insight into the complexity of PA and especially SfA promotion at sub-national level in Germany. Our results suggest that a broader range of approaches is used in the 16 German states than national overviews would suggest. These particularities must be taken into account when assessing and comparing the results from different countries.
Key messages
The promotion of SfA at German sub-national level is much more diverse than represented at national level evaluations. Knowledge of sub-national structures enables the understanding of national outcomes, the promotion of cross-national learning and the identification of supportive structures for effective PA promotion.
Collapse
Affiliation(s)
- S Forberger
- BIPS, Leibniz Institute for Prevention Research and Epidemiology, Bremen, Germany
| | - P Gelius
- FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - S Messing
- FAU, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - K Volf
- Physical Activity for Health, Health Research Institute, Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland
| | - L Kelly
- Physical Activity for Health, Health Research Institute, Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland
| | - S Taylor
- Physical Activity for Health, Health Research Institute, Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland
| | - J Zukowska
- Faculty of Civil and Environmental Engineering, Gdansk University of Technology, Gdansk, Poland
| | - J Lakerveld
- VUmc, Amsterdam University Medical Center, Amsterdam, Netherlands
| | - C Woods
- Physical Activity for Health, Health Research Institute, Department of Physical Education and Sport Sciences, University of Limerick, Limerick, Ireland
| |
Collapse
|
13
|
den Braver NR, Lakerveld J, Gozdyra P, van de Brug T, Moin JS, Fazli G, Brug J, Moineddin R, Beulens JWJ, Booth GL. Development of a neighborhood drivability index and its association with transportation behavior. Eur J Public Health 2020. [DOI: 10.1093/eurpub/ckaa165.231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
To develop and validate a drivability index for the City of Toronto and examine its association with transportation mode choice.
Methods
We used exploratory factor analysis to derive distinct factors (clusters of one or more environmental characteristics) that reflect the degree of car dependency in each neighborhood, drawing from candidate variables that capture density, diversity, design, destination accessibility, distance to transit, and demand management. Area-level factor scores were then combined into a single composite score, reflecting neighborhood drivability. Negative binomial generalized estimating equations were used to test the association between driveability quintiles (Q) and primary travel mode (>50% of trips by car, public transit, or walking/cycling) in a population-based sample of 63,766 Toronto residents enrolled in the Transportation Tomorrow Survey (TTS), adjusting for individual and household characteristics, and accounting for clustering of respondents within households.
Results
The drivability index consisted of three factors: Urban sprawl, pedestrian facilities and parking availability. Relative to those living in the least drivable neighborhoods (Q1), those in high drivability areas (Q5) had a significantly higher rate of car travel (adjusted rate ratio (RR):1.80,95%CI:1.77-1.88), and lower rate of public transit use (RR:0.90,95%CI:0.85-0.94) and walking/cycling (RR:0.22,95%CI:0.19-0.25). Associations were strongest for short trips (<3 km) and in analyses where both residential and workplace drivability was considered (RR for car use in high/high vs. low/low residential/workplace drivability: 2.18, CI:2.08-2.29).
Conclusions
This novel neighborhood drivability index predicted whether local residents drive or use active modes of transportation and can be used to investigate the association between drivability, physical activity, and chronic disease risk.
Key messages
The association between neighborhood drivability and car use was strongest for short trips. The drivability of the neighborhood where people work is a strong determinant of car use.
Collapse
Affiliation(s)
- N R den Braver
- Epidemiology and Biostatistics, Amsterdam UMC, Amsterdam, Netherlands
| | - J Lakerveld
- Epidemiology and Biostatistics, Amsterdam UMC, Amsterdam, Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - P Gozdyra
- MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada
- ICES, Toronto, Canada
| | - T van de Brug
- Epidemiology and Biostatistics, Amsterdam UMC, Amsterdam, Netherlands
| | - J S Moin
- MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada
| | - G Fazli
- MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada
| | - J Brug
- National Institute for Public Health and the Environment, Bilthoven, Canada
- Faculty of Social and Behavioural Sciences, University of Amsterdam, Amsterdam, Netherlands
| | - R Moineddin
- ICES, Toronto, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, Canada
| | - J W J Beulens
- Epidemiology and Biostatistics, Amsterdam UMC, Amsterdam, Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - G L Booth
- MAP Centre for Urban Health Solutions, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, Canada
- Department of Medicine, University of Toronto, Toronto, Canada
| |
Collapse
|
14
|
Lakerveld J, Palmeira AL, van Duinkerken E, Whitelock V, Peyrot M, Nouwen A. Motivation: key to a healthy lifestyle in people with diabetes? Current and emerging knowledge and applications. Diabet Med 2020; 37:464-472. [PMID: 31916283 DOI: 10.1111/dme.14228] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 01/02/2020] [Indexed: 12/13/2022]
Abstract
AIM Motivation to take up and maintain a healthy lifestyle is key to diabetes prevention and management. Motivations are driven by factors on the psychological, biological and environmental levels, which have each been studied extensively in various lines of research over the past 25 years. Here, we analyse and reflect on current and emerging knowledge on motivation in relation to lifestyle behaviours, with a focus on people with diabetes or obesity. Structured according to psychological, (neuro-)biological and broader environmental levels, we provide a scoping review of the literature and highlight frameworks used to structure motivational concepts. Results are then put in perspective of applicability in (clinical) practice. RESULTS Over the past 25 years, research focusing on motivation has grown exponentially. Social-cognitive and self-determination theories have driven research on the key motivational concepts 'self-efficacy' and 'self-determination'. Neuro-cognitive research has provided insights in the processes that are involved across various layers of a complex cortical network of motivation, reward and cognitive control. On an environmental - more upstream - level, motivations are influenced by characteristics in the built, social, economic and policy environments at various scales, which have provided entry points for environmental approaches influencing behaviour. CONCLUSIONS Current evidence shows that motivation is strongly related to a person's self-efficacy and capability to initiate and maintain healthy choices, and to a health climate that supports autonomous choices. Some approaches targeting motivations have been shown to be promising, but more research is warranted to sustainably reduce the burden of diabetes in individuals and populations.
Collapse
Affiliation(s)
- J Lakerveld
- Department of Epidemiology and Biostatistics, Amsterdam University Medical Centres, Vrije Universteit, Amsterdam, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - A L Palmeira
- CIPER-PANO/SR/Faculty of Human Movement, University of Lisbon & University Lusófona, Lisbon, Portugal
| | - E van Duinkerken
- Department of Medical Psychology, Amsterdam University Medical Centres, Vrije Universteit, Amsterdam, The Netherlands
- Amsterdam Diabetes Centre/Department of Internal Medicine, Amsterdam University Medical Centres, Vrije Universteit, Amsterdam, The Netherlands
- Centre for Epilepsy, Instituto Estadual do Cérebro Paulo Niemeyer, Rio de Janeiro, RJ, Brazil
| | - V Whitelock
- Department of Psychology, Middlesex University, London, UK
- Cancer Intelligence, Cancer Research UK, London, UK
| | - M Peyrot
- Loyola University Maryland, Baltimore, MD, USA
- Western Norway University for Applied Sciences, Bergen, Norway
| | - A Nouwen
- Department of Psychology, Middlesex University, London, UK
| |
Collapse
|
15
|
Pinho MGM, Mackenbach JD, Charreire H, Oppert JM, Bárdos H, Glonti K, Rutter H, Compernolle S, De Bourdeaudhuij I, Beulens JWJ, Brug J, Lakerveld J. Exploring the relationship between perceived barriers to healthy eating and dietary behaviours in European adults. Eur J Nutr 2018; 57:1761-1770. [PMID: 28447202 PMCID: PMC6060804 DOI: 10.1007/s00394-017-1458-3] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2016] [Accepted: 04/13/2017] [Indexed: 11/24/2022]
Abstract
PURPOSE Dietary behaviours may be influenced by perceptions of barriers to healthy eating. Using data from a large cross-European study (N = 5900), we explored associations between various perceived barriers to healthy eating and dietary behaviours among adults from urban regions in five European countries and examined whether associations differed across regions and socio-demographic backgrounds. METHODS Frequency of consumption of fruit, vegetables, fish, fast food, sugar-sweetened beverages, sweets, breakfast and home-cooked meals were split by the median into higher and lower consumption. We tested associations between barriers (irregular working hours; giving up preferred foods; busy lifestyle; lack of willpower; price of healthy food; taste preferences of family and friends; lack of healthy options and unappealing foods) and dietary variables using multilevel logistic regression models. We explored whether associations differed by age, sex, education, urban region, weight status, household composition or employment. RESULTS Respondents who perceived any barrier were less likely to report higher consumption of healthier foods and more likely to report higher consumption of fast food. 'Lack of willpower', 'time constraints' and 'taste preferences' were most consistently associated with consumption. For example, those perceiving lack of willpower ate less fruit [odds ratio (OR) 0.57; 95% confidence interval (CI) 0.50-0.64], and those with a busy lifestyle ate less vegetables (OR 0.54; 95% CI 0.47-0.62). Many associations differed in size, but not in direction, by region, sex, age and household composition. CONCLUSION Perceived 'lack of willpower', 'time constraints' and 'taste preferences' were barriers most strongly related to dietary behaviours, but the association between various barriers and lower intake of fruit and vegetables was somewhat more pronounced among younger participants and women.
Collapse
Affiliation(s)
- M G M Pinho
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands.
| | - J D Mackenbach
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands
| | - H Charreire
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, 74 Rue Marcel Cachin, 93017, Bobigny, France
- Lab-Urba, Paris Est University, 61 Avenue du Général de Gaulle, 94010, Créteil, France
| | - J-M Oppert
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, 74 Rue Marcel Cachin, 93017, Bobigny, France
- Sorbonne Universités, Université Pierre et Marie Curie, Université Paris 06; Institute of Cardiometabolism and Nutrition, Department of Nutrition, Pitié-Salpêtrière Hospital, 47-83 Boulevard de l'Hôpital, 75013, Paris, France
| | - H Bárdos
- Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Kassai Street 26, 4028, P.O.Box: 9, Debrecen, Hungary
| | - K Glonti
- ECOHOST-The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK
| | - H Rutter
- ECOHOST-The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, 15-17 Tavistock Place, London, WC1H 9SH, UK
| | - S Compernolle
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, 9000, Ghent, Belgium
| | - I De Bourdeaudhuij
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, 9000, Ghent, Belgium
| | - J W J Beulens
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Huispost Str. 6.131, PO Box 85500, 3508 GA, Utrecht, The Netherlands
| | - J Brug
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands
- Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Nieuwe Achtergracht 166, 1018 WV, Amsterdam, The Netherlands
| | - J Lakerveld
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, De Boelelaan 1089a, 1081 HV, Amsterdam, The Netherlands
| |
Collapse
|
16
|
den Braver NR, Lakerveld J, Rutters F, Schoonmade LJ, Brug J, Beulens JWJ. Built environmental characteristics and diabetes: a systematic review and meta-analysis. BMC Med 2018; 16:12. [PMID: 29382337 PMCID: PMC5791730 DOI: 10.1186/s12916-017-0997-z] [Citation(s) in RCA: 118] [Impact Index Per Article: 19.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/31/2017] [Accepted: 12/15/2017] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The built environment influences behaviour, like physical activity, diet and sleep, which affects the risk of type 2 diabetes mellitus (T2DM). This study systematically reviewed and meta-analysed evidence on the association between built environmental characteristics related to lifestyle behaviour and T2DM risk/prevalence, worldwide. METHODS We systematically searched PubMed, EMBASE.com and Web of Science from their inception to 6 June 2017. Studies were included with adult populations (>18 years), T2DM or glycaemic markers as outcomes, and physical activity and/or food environment and/or residential noise as independent variables. We excluded studies of specific subsamples of the population, that focused on built environmental characteristics that directly affect the cardiovascular system, that performed prediction analyses and that do not report original research. Data appraisal and extraction were based on published reports (PROSPERO-ID: CRD42016035663). RESULTS From 11,279 studies, 109 were eligible and 40 were meta-analysed. Living in an urban residence was associated with higher T2DM risk/prevalence (n = 19, odds ratio (OR) = 1.40; 95% CI, 1.2-1.6; I2 = 83%) compared to living in a rural residence. Higher neighbourhood walkability was associated with lower T2DM risk/prevalence (n = 8, OR = 0.79; 95% CI, 0.7-0.9; I2 = 92%) and more green space tended to be associated with lower T2DM risk/prevalence (n = 6, OR = 0.90; 95% CI, 0.8-1.0; I2 = 95%). No convincing evidence was found of an association between food environment with T2DM risk/prevalence. CONCLUSIONS An important strength of the study was the comprehensive overview of the literature, but our study was limited by the conclusion of mainly cross-sectional studies. In addition to other positive consequences of walkability and access to green space, these environmental characteristics may also contribute to T2DM prevention. These results may be relevant for infrastructure planning.
Collapse
Affiliation(s)
- N R den Braver
- Department of Epidemiology & Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, De Boelelaan 1089a, 1081HV, Amsterdam, The Netherlands.
| | - J Lakerveld
- Department of Epidemiology & Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, De Boelelaan 1089a, 1081HV, Amsterdam, The Netherlands
| | - F Rutters
- Department of Epidemiology & Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, De Boelelaan 1089a, 1081HV, Amsterdam, The Netherlands
| | | | - J Brug
- Department of Epidemiology & Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, De Boelelaan 1089a, 1081HV, Amsterdam, The Netherlands.,Amsterdam School for Communication Research, University of Amsterdam, Amsterdam, The Netherlands
| | - J W J Beulens
- Department of Epidemiology & Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, De Boelelaan 1089a, 1081HV, Amsterdam, The Netherlands.,Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| |
Collapse
|
17
|
Lakerveld J, Hart E, McKee M, Oppert JM, Charreire H, Rutter H, Veenhoven R, Bardos H, Compernolle S, De Bourdeaudhuij I, Brug J, Mackenbach JD. Contextual correlates of happiness in European adults - the SPOTLIGHT study. Eur J Public Health 2017. [DOI: 10.1093/eurpub/ckx187.451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- J Lakerveld
- VU University Medical Center, Amsterdam, Netherlands
| | - E Hart
- VU University Medical Center, Amsterdam, Netherlands
| | - M McKee
- London School of Hygiene and Tropical Medicine, London, UK
| | | | | | - H Rutter
- London School of Hygiene and Tropical Medicine, London, UK
| | - R Veenhoven
- Erasmus University Rotterdam, Rotterdam, Netherlands
| | - H Bardos
- University of Debrecen, Debrecen, Hungary
| | | | | | - J Brug
- University of Amsterdam, Amsterdam, Netherlands
| | - JD Mackenbach
- VU University Medical Center, Amsterdam, Netherlands
| |
Collapse
|
18
|
Lakerveld J, den Braver NR, Rutters F, Schoonmade LJ, Brug J, Beulens JWJ. Built environmental characteristics and diabetes: a systematic review and meta-analysis. Eur J Public Health 2017. [DOI: 10.1093/eurpub/ckx187.701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- J Lakerveld
- Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, Amsterdam, Netherlands
| | - NR den Braver
- Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, Amsterdam, Netherlands
| | - F Rutters
- Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, Amsterdam, Netherlands
| | | | - J Brug
- Amsterdam School for Communication Research (ASCoR), University of Amsterdam, Amsterdam, Netherlands
| | - JWJ Beulens
- Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, Amsterdam, Netherlands
| |
Collapse
|
19
|
O’Donoghue G, Perchoux C, Mensah K, Lakerveld J, van der Ploeg H, Bernaards C, Chastin S, Simon C, O’Gorman D, Nazare JA. Revue systématique des déterminants du comportement sédentaire chez l’adulte (18–65ans) : approche socioécologique. NUTR CLIN METAB 2017. [DOI: 10.1016/j.nupar.2016.10.053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
|
20
|
Lakerveld J, Mackenbach JD, Horvath E, Rutters F, Compernolle S, Bárdos H, De Bourdeaudhuij I, Charreire H, Rutter H, Oppert JM, McKee M, Brug J. The relation between sleep duration and sedentary behaviours in European adults. Obes Rev 2016; 17 Suppl 1:62-7. [PMID: 26879114 DOI: 10.1111/obr.12381] [Citation(s) in RCA: 57] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2015] [Accepted: 12/15/2015] [Indexed: 11/27/2022]
Abstract
Too much sitting, and both short and long sleep duration are associated with obesity, but little is known on the nature of the relations between these behaviours. We therefore examined the associations between sleep duration and time spent sitting in adults across five urban regions in Europe. We used cross-sectional survey data from 6,037 adults (mean age 51.9 years (SD 16.4), 44.0% men) to assess the association between self-reported short (<6 h per night), normal (6-8 h per night) and long (>8 h per night) sleep duration with self-report total time spent sitting, time spent sitting at work, during transport, during leisure and while watching screens. The multivariable multilevel linear regression models were tested for moderation by urban region, age, gender, education and weight status. Because short sleepers have more awake time to be sedentary, we also used the percentage of awake time spent sedentary as an outcome. Short sleepers had 26.5 min day(-1) more sedentary screen time, compared with normal sleepers (CI 5.2; 47.8). No statistically significant associations were found with total or other domains of sedentary behaviour, and there was no evidence for effect modification. Long sleepers spent 3.2% higher proportion of their awake time sedentary compared with normal sleepers. Shorter sleep was associated with increased screen time in a sample of European adults, irrespective of urban region, gender, age, educational level and weight status. Experimental studies are needed to assess the prospective relation between sedentary (screen) time and sleep duration.
Collapse
Affiliation(s)
- J Lakerveld
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU Medical Center Amsterdam, Amsterdam, The Netherlands
| | - J D Mackenbach
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU Medical Center Amsterdam, Amsterdam, The Netherlands
| | - E Horvath
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU Medical Center Amsterdam, Amsterdam, The Netherlands
| | - F Rutters
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU Medical Center Amsterdam, Amsterdam, The Netherlands
| | - S Compernolle
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - H Bárdos
- Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Debrecen, Hungary
| | - I De Bourdeaudhuij
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - H Charreire
- Lab-Urba, UPEC, Urban Institut of Paris, Paris Est University, Créteil, France.,Equipe de Recherche en Epidémiologie Nutritionnelle (EREN) Université Paris 13, Centre de Recherche en Epidémiologie et Statistiques Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, France
| | - H Rutter
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - J-M Oppert
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN) Université Paris 13, Centre de Recherche en Epidémiologie et Statistiques Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, France.,Department of Nutrition Pitié-Salpêtrière Hospital (AP-HP), Institute of Cardiometabolism and Nutrition, Université Pierre et Marie Curie-Paris 6, Paris, France
| | - M McKee
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - J Brug
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU Medical Center Amsterdam, Amsterdam, The Netherlands
| |
Collapse
|
21
|
Rutter H, Glonti K, Lakerveld J. The way ahead: where next for research into obesogenic environments? Obes Rev 2016; 17 Suppl 1:108-9. [PMID: 26879118 DOI: 10.1111/obr.12382] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Accepted: 12/22/2015] [Indexed: 11/26/2022]
Affiliation(s)
- H Rutter
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - K Glonti
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - J Lakerveld
- Department of Epidemiology and Biostatistics. EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| |
Collapse
|
22
|
Mertens L, Compernolle S, Gheysen F, Deforche B, Brug J, Mackenbach JD, Lakerveld J, Oppert JM, Feuillet T, Glonti K, Bárdos H, De Bourdeaudhuij I. Perceived environmental correlates of cycling for transport among adults in five regions of Europe. Obes Rev 2016; 17 Suppl 1:53-61. [PMID: 26879113 DOI: 10.1111/obr.12379] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2015] [Accepted: 12/16/2015] [Indexed: 12/18/2022]
Abstract
Regular cycling for transport is an important potential contributor to daily physical activity among adults. Characteristics of the physical environment are likely to influence cycling for transport. The current study investigated associations between perceived physical environmental neighbourhood factors and adults' cycling for transport across five urban regions across Europe, and whether such associations were moderated by age, gender, education and urban region. A total of 4,612 adults from five European regions provided information about their transport-related cycling and their neighbourhood physical environmental perceptions in an online survey. Hurdle models adjusted for the clustering within neighbourhoods were performed to estimate associations between perceived physical environmental neighbourhood factors and odds of engaging in cycling for transport and minutes of cycling for transport per week. Inhabitants of neighbourhoods that were perceived to be polluted, having better street connectivity, having lower traffic speed levels and being less pleasant to walk or cycle in had higher levels of cycling for transport. Moderation analyses revealed only one interaction effect by gender. This study indicates that cycling for transport is associated with a number of perceived physical environmental neighbourhood factors across five urban regions across Europe. Our results indicated that the majority of the outcomes identified were valid for all subgroups of age, gender, education and across regions in the countries included in the study.
Collapse
Affiliation(s)
- L Mertens
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - S Compernolle
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - F Gheysen
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - B Deforche
- Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.,Department of Human Biometry and Biomechanics, Faculty of Physical Education and Physical Therapy, Vrije Universiteit Brussel, Brussels, Belgium
| | - J Brug
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - J D Mackenbach
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - J Lakerveld
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - J-M Oppert
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France.,Sorbonne Universités, Université Pierre et Marie Curie, Université Paris 06; Institute of Cardiometabolism and Nutrition, Department of Nutrition, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - T Feuillet
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France
| | - K Glonti
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - H Bárdos
- Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Debrecen, Hungary
| | - I De Bourdeaudhuij
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| |
Collapse
|
23
|
Lakerveld J, Glonti K, Rutter H. Individual and contextual correlates of obesity-related behaviours and obesity: the SPOTLIGHT project. Obes Rev 2016; 17 Suppl 1:5-8. [PMID: 26879108 DOI: 10.1111/obr.12384] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Accepted: 12/22/2015] [Indexed: 12/19/2022]
Affiliation(s)
- J Lakerveld
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - K Glonti
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - H Rutter
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| |
Collapse
|
24
|
Feuillet T, Charreire H, Roda C, Ben Rebah M, Mackenbach JD, Compernolle S, Glonti K, Bárdos H, Rutter H, De Bourdeaudhuij I, McKee M, Brug J, Lakerveld J, Oppert JM. Neighbourhood typology based on virtual audit of environmental obesogenic characteristics. Obes Rev 2016; 17 Suppl 1:19-30. [PMID: 26879110 DOI: 10.1111/obr.12378] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2015] [Accepted: 12/15/2015] [Indexed: 11/30/2022]
Abstract
Virtual audit (using tools such as Google Street View) can help assess multiple characteristics of the physical environment. This exposure assessment can then be associated with health outcomes such as obesity. Strengths of virtual audit include collection of large amount of data, from various geographical contexts, following standard protocols. Using data from a virtual audit of obesity-related features carried out in five urban European regions, the current study aimed to (i) describe this international virtual audit dataset and (ii) identify neighbourhood patterns that can synthesize the complexity of such data and compare patterns across regions. Data were obtained from 4,486 street segments across urban regions in Belgium, France, Hungary, the Netherlands and the UK. We used multiple factor analysis and hierarchical clustering on principal components to build a typology of neighbourhoods and to identify similar/dissimilar neighbourhoods, regardless of region. Four neighbourhood clusters emerged, which differed in terms of food environment, recreational facilities and active mobility features, i.e. the three indicators derived from factor analysis. Clusters were unequally distributed across urban regions. Neighbourhoods mostly characterized by a high level of outdoor recreational facilities were predominantly located in Greater London, whereas neighbourhoods characterized by high urban density and large amounts of food outlets were mostly located in Paris. Neighbourhoods in the Randstad conurbation, Ghent and Budapest appeared to be very similar, characterized by relatively lower residential densities, greener areas and a very low percentage of streets offering food and recreational facility items. These results provide multidimensional constructs of obesogenic characteristics that may help target at-risk neighbourhoods more effectively than isolated features.
Collapse
Affiliation(s)
- T Feuillet
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France
| | - H Charreire
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France.,Paris Est University, Lab-Urba, UPEC, Urban School of Paris, Créteil, France
| | - C Roda
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France
| | - M Ben Rebah
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France
| | - J D Mackenbach
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - S Compernolle
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - K Glonti
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - H Bárdos
- Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Debrecen, Hungary
| | - H Rutter
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - I De Bourdeaudhuij
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - M McKee
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - J Brug
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - J Lakerveld
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - J-M Oppert
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France.,Sorbonne Universités, Université Pierre et Marie Curie, Université Paris 06, Institute of Cardiometabolism and Nutrition, Department of Nutrition, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| |
Collapse
|
25
|
Mackenbach JD, Lakerveld J, van Lenthe FJ, Bárdos H, Glonti K, Compernolle S, De Bourdeaudhuij I, Oppert JM, Roda C, Rutter H, Brug J, Nijpels G. Exploring why residents of socioeconomically deprived neighbourhoods have less favourable perceptions of their neighbourhood environment than residents of wealthy neighbourhoods. Obes Rev 2016; 17 Suppl 1:42-52. [PMID: 26879112 DOI: 10.1111/obr.12375] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2015] [Accepted: 12/15/2015] [Indexed: 11/27/2022]
Abstract
Residents of socioeconomically deprived areas perceive their neighbourhood as less conducive to healthy behaviours than residents of more affluent areas. Whether these unfavourable perceptions are based on objective neighbourhood features or other factors is poorly understood. We examined individual and contextual correlates of socioeconomic inequalities in neighbourhood perceptions across five urban regions in Europe. Data were analysed from 5205 participants of the SPOTLIGHT survey. Participants reported perceptions of their neighbourhood environment with regard to aesthetics, safety, the presence of destinations and functionality of the neighbourhood, which were summed into an overall neighbourhood perceptions score. Multivariable multilevel regression analyses were conducted to investigate whether the following factors were associated with socioeconomic inequalities in neighbourhood perceptions: objectively observed neighbourhood features, neighbourhood social capital, exposure to the neighbourhood, self-rated health and lifestyle behaviours. Objectively observed traffic safety, aesthetics and the presence of destinations in the neighbourhood explained around 15% of differences in neighbourhood perceptions between residents of high and low neighbourhoods; levels of neighbourhood social cohesion explained around 52%. Exposure to the neighbourhood, self-rated health and lifestyle behaviours were significant correlates of neighbourhood perceptions but did not contribute to socioeconomic differences. This cross-European study provided evidence that socioeconomic differences in neighbourhood perceptions are not only associated with objective neighbourhood features but also with social cohesion. Levels of physical activity, sleep duration, self-rated health, happiness and neighbourhood preference were also associated with neighbourhood perceptions.
Collapse
Affiliation(s)
- J D Mackenbach
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - J Lakerveld
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - F J van Lenthe
- Department of Public Health, Erasmus Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - H Bárdos
- Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Debrecen, Hungary
| | - K Glonti
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - S Compernolle
- Department of Movement and Sport Sciences, Ghent University, Ghent, Belgium
| | - I De Bourdeaudhuij
- Department of Movement and Sport Sciences, Ghent University, Ghent, Belgium
| | - J-M Oppert
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France.,Sorbonne Universités, Université Pierre et Marie Curie, Université Paris 06; Institute of Cardiometabolism and Nutrition, Department of Nutrition, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - C Roda
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France
| | - H Rutter
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - J Brug
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - G Nijpels
- Department of General Practice and Elderly Care, EMGO Institute for Health and Care Research, VU Medical Center Amsterdam, Amsterdam, The Netherlands
| |
Collapse
|
26
|
Charreire H, Feuillet T, Roda C, Mackenbach JD, Compernolle S, Glonti K, Bárdos H, Le Vaillant M, Rutter H, McKee M, De Bourdeaudhuij I, Brug J, Lakerveld J, Oppert JM. Self-defined residential neighbourhoods: size variations and correlates across five European urban regions. Obes Rev 2016; 17 Suppl 1:9-18. [PMID: 26879109 DOI: 10.1111/obr.12380] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2015] [Accepted: 12/15/2015] [Indexed: 11/28/2022]
Abstract
The neighbourhood is recognized as an important unit of analysis in research on the relation between obesogenic environments and development of obesity. One important challenge is to define the limits of the residential neighbourhood, as perceived by study participants themselves, in order to improve our understanding of the interaction between contextual features and patterns of obesity. An innovative tool was developed in the framework of the SPOTLIGHT project to identify the boundaries of neighbourhoods as defined by participants in five European urban regions. The aims of this study were (i) to describe self-defined neighbourhood (size and overlap with predefined residential area) according to the characteristics of the sampling administrative neighbourhoods (residential density and socioeconomic status) within the five study regions and (ii) to determine which individual or/and environmental factors are associated with variations in size of self-defined neighbourhoods. Self-defined neighbourhood size varies according to both individual factors (age, educational level, length of residence and attachment to neighbourhood) and contextual factors. These findings have consequences for how residential neighbourhoods are defined and operationalized and can inform how self-defined neighbourhoods may be used in research on associations between contextual characteristics and health outcomes such as obesity.
Collapse
Affiliation(s)
- H Charreire
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Université Paris 13, Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, France.,Paris Est University, Lab-Urba, UPEC, Urban School of Paris, Créteil, France
| | - T Feuillet
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Université Paris 13, Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, France
| | - C Roda
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Université Paris 13, Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, France
| | - J D Mackenbach
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Centre, Amsterdam, The Netherlands
| | - S Compernolle
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - K Glonti
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - H Bárdos
- Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Hungary
| | - M Le Vaillant
- CERMES3, UMR 8211-U988, CNRS, INSERM, Université Paris Descartes, EHESS, Villejuif, France
| | - H Rutter
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - M McKee
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - I De Bourdeaudhuij
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - J Brug
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Centre, Amsterdam, The Netherlands
| | - J Lakerveld
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Centre, Amsterdam, The Netherlands
| | - J-M Oppert
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Université Paris 13, Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, France.,Sorbonne Universités, Université Pierre et Marie Curie, Université Paris 06; Institute of Cardiometabolism and Nutrition, Department of Nutrition Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| |
Collapse
|
27
|
Mackenbach JD, Lakerveld J, van Lenthe FJ, Kawachi I, McKee M, Rutter H, Glonti K, Compernolle S, De Bourdeaudhuij I, Feuillet T, Oppert JM, Nijpels G, Brug J. Neighbourhood social capital: measurement issues and associations with health outcomes. Obes Rev 2016; 17 Suppl 1:96-107. [PMID: 26879117 DOI: 10.1111/obr.12373] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2015] [Accepted: 12/15/2015] [Indexed: 01/01/2023]
Abstract
We compared ecometric neighbourhood scores of social capital (contextual variation) to mean neighbourhood scores (individual and contextual variation), using several health-related outcomes (i.e. self-rated health, weight status and obesity-related behaviours). Data were analysed from 5,900 participants in the European SPOTLIGHT survey. Factor analysis of the 13-item social capital scale revealed two social capital constructs: social networks and social cohesion. The associations of ecometric and mean neighbourhood-level scores of these constructs with self-rated health, weight status and obesity-related behaviours were analysed using multilevel regression analyses, adjusted for key covariates. Analyses using ecometric and mean neighbourhood scores, but not mean neighbourhood scores adjusted for individual scores, yielded similar regression coefficients. Higher levels of social network and social cohesion were not only associated with better self-rated health, lower odds of obesity and higher fruit consumption, but also with prolonged sitting and less transport-related physical activity. Only associations with transport-related physical activity and sedentary behaviours were associated with mean neighbourhood scores adjusted for individual scores. As analyses using ecometric scores generated the same results as using mean neighbourhood scores, but different results when using mean neighbourhood scores adjusted for individual scores, this suggests that the theoretical advantage of the ecometric approach (i.e. teasing out individual and contextual variation) may not be achieved in practice. The different operationalisations of social network and social cohesion were associated with several health outcomes, but the constructs that appeared to represent the contextual variation best were only associated with two of the outcomes.
Collapse
Affiliation(s)
- J D Mackenbach
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU Medical Center Amsterdam, Amsterdam, The Netherlands
| | - J Lakerveld
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU Medical Center Amsterdam, Amsterdam, The Netherlands
| | - F J van Lenthe
- Department of Public Health, Erasmus Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - I Kawachi
- Department of Social and Behavioral Sciences, Harvard School of Public Health, Boston, USA
| | - M McKee
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - H Rutter
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - K Glonti
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - S Compernolle
- Department of Movement and Sport Sciences, Ghent University, Ghent, Belgium
| | - I De Bourdeaudhuij
- Department of Movement and Sport Sciences, Ghent University, Ghent, Belgium
| | - T Feuillet
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France
| | - J-M Oppert
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France.,Sorbonne Universités, Université Pierre et Marie Curie, Université Paris 06; Institute of Cardiometabolism and Nutrition, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - G Nijpels
- Department of General Practice and Elderly Care, EMGO Institute for Health and Care Research, VU Medical Center Amsterdam, The Netherlands
| | - J Brug
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU Medical Center Amsterdam, Amsterdam, The Netherlands
| |
Collapse
|
28
|
Glonti K, Mackenbach JD, Ng J, Lakerveld J, Oppert JM, Bárdos H, McKee M, Rutter H. Psychosocial environment: definitions, measures and associations with weight status--a systematic review. Obes Rev 2016; 17 Suppl 1:81-95. [PMID: 26879116 DOI: 10.1111/obr.12383] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Revised: 12/17/2015] [Accepted: 12/18/2015] [Indexed: 11/30/2022]
Abstract
Socio-ecological models suggest that many elements of the social environment act as upstream determinants of obesity. This systematic review examined definitions, measures and strength of associations between the psychosocial environment and adult weight status. Studies were included if they were conducted on adults, the outcome was weight status, carried out in any developed country and investigated at least one psychosocial environmental construct. Six databases for primary studies were searched: EMBASE, MEDLINE, PsycINFO, Scopus, Web of Science and the Cochrane Library. We restricted our search to studies published in English between January 1995 and February 2015. An adapted 'Quality Assessment Tool for Quantitative Studies' was used to evaluate risk of bias of included studies. Out of 14,784 screened records, 42 articles were assessed using full text. A total of 19 studies were included. The strongest associations with weight status were found for social capital and collective efficacy, although few studies found significant associations. There was heterogeneity in the definitions and metrics of psychosocial environmental constructs. There is limited evidence that greater social capital and collective efficacy are associated with healthier weight status. The research conducted to date has not robustly identified relations. We highlight challenges to undertaking research and establishing causality in this field and provide recommendations for further research.
Collapse
Affiliation(s)
- K Glonti
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - J D Mackenbach
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - J Ng
- Department of Service Planning and Care Integration, Sengkang Health, Singapore
| | - J Lakerveld
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - J-M Oppert
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France.,Sorbonne Universités, Université Pierre et Marie Curie, Université Paris 06; Institute of Cardiometabolism and Nutrition, Department of Nutrition, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - H Bárdos
- Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Debrecen, Hungary
| | - M McKee
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - H Rutter
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| |
Collapse
|
29
|
Roda C, Charreire H, Feuillet T, Mackenbach JD, Compernolle S, Glonti K, Ben Rebah M, Bárdos H, Rutter H, McKee M, De Bourdeaudhuij I, Brug J, Lakerveld J, Oppert JM. Mismatch between perceived and objectively measured environmental obesogenic features in European neighbourhoods. Obes Rev 2016; 17 Suppl 1:31-41. [PMID: 26879111 DOI: 10.1111/obr.12376] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2015] [Accepted: 12/16/2015] [Indexed: 11/30/2022]
Abstract
Findings from research on the association between the built environment and obesity remain equivocal but may be partly explained by differences in approaches used to characterize the built environment. Findings obtained using subjective measures may differ substantially from those measured objectively. We investigated the agreement between perceived and objectively measured obesogenic environmental features to assess (1) the extent of agreement between individual perceptions and observable characteristics of the environment and (2) the agreement between aggregated perceptions and observable characteristics, and whether this varied by type of characteristic, region or neighbourhood. Cross-sectional data from the SPOTLIGHT project (n = 6037 participants from 60 neighbourhoods in five European urban regions) were used. Residents' perceptions were self-reported, and objectively measured environmental features were obtained by a virtual audit using Google Street View. Percent agreement and Kappa statistics were calculated. The mismatch was quantified at neighbourhood level by a distance metric derived from a factor map. The extent to which the mismatch metric varied by region and neighbourhood was examined using linear regression models. Overall, agreement was moderate (agreement < 82%, kappa < 0.3) and varied by obesogenic environmental feature, region and neighbourhood. Highest agreement was found for food outlets and outdoor recreational facilities, and lowest agreement was obtained for aesthetics. In general, a better match was observed in high-residential density neighbourhoods characterized by a high density of food outlets and recreational facilities. Future studies should combine perceived and objectively measured built environment qualities to better understand the potential impact of the built environment on health, particularly in low residential density neighbourhoods.
Collapse
Affiliation(s)
- C Roda
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France
| | - H Charreire
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France.,Paris Est University, Lab-Urba, UPEC, Urban School of Paris, Créteil, France
| | - T Feuillet
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France
| | - J D Mackenbach
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - S Compernolle
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - K Glonti
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - M Ben Rebah
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France
| | - H Bárdos
- Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Debrecen, Hungary
| | - H Rutter
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - M McKee
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - I De Bourdeaudhuij
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - J Brug
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - J Lakerveld
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - J-M Oppert
- Equipe de Recherche en Epidémiologie Nutritionnelle (EREN), Centre de Recherche en Epidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France.,Sorbonne Universités, Université Pierre et Marie Curie, Université Paris 06; Institute of Cardiometabolism and Nutrition, Department of Nutrition, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| |
Collapse
|
30
|
Mackenbach JD, Lakerveld J, Van Lenthe FJ, Teixeira PJ, Compernolle S, De Bourdeaudhuij I, Charreire H, Oppert JM, Bárdos H, Glonti K, Rutter H, McKee M, Nijpels G, Brug J. Interactions of individual perceived barriers and neighbourhood destinations with obesity-related behaviours in Europe. Obes Rev 2016; 17 Suppl 1:68-80. [PMID: 26879115 DOI: 10.1111/obr.12374] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2015] [Accepted: 12/15/2015] [Indexed: 12/01/2022]
Abstract
Perceived barriers towards physical activity and healthy eating as well as local availability of opportunities (destinations in the neighbourhood) are important determinants of obesity-related behaviours in adults. Little is known, however, about how these factors interact with the behaviours. Data were analysed from 5,205 participants of the SPOTLIGHT survey, conducted in 60 neighbourhoods in urban regions of five different countries across Europe. A virtual audit was conducted to collect data on the presence of destinations in each neighbourhood. Direct associations of, and interactions between, the number of individual perceived barriers and presence of destinations with obesity-related behaviours (physical activity and dietary behaviours) were analysed using multilevel regression analyses, adjusted for key covariates. Perceiving more individual barriers towards physical activity and healthy eating was associated with lower odds of physical activity and healthy eating. The presence of destinations such as bicycle lanes, parks and supermarkets was associated with higher levels of physical activity and healthier dietary behaviours. Analyses of additive interaction terms suggested that the interaction of destinations and barriers was competitive, such that the presence of destinations influenced obesity-related behaviours most among those perceiving more barriers. These explorative findings emphasize the interest and importance of combining objective (e.g. virtual neighbourhood audit) methods and subjective (e.g. individual perceived barriers collected in a survey) to better understand how the characteristics of the residential built environment can shape obesity-related behaviours depending on individual characteristics.
Collapse
Affiliation(s)
- J D Mackenbach
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - J Lakerveld
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - F J Van Lenthe
- Department of Public Health, Erasmus Medical Centre Rotterdam, Rotterdam, The Netherlands
| | - P J Teixeira
- Centre for Interdisciplinary Study of Human Performance (CIPER), Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal
| | - S Compernolle
- Department of Movement and Sport Sciences, Ghent University, Ghent, Belgium
| | - I De Bourdeaudhuij
- Department of Movement and Sport Sciences, Ghent University, Ghent, Belgium
| | - H Charreire
- Equipe de Recherche en Epidámiologie Nutritionnelle (EREN), Centre de Recherche en Epidámiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France.,Paris Est University, Lab-Urba, UPEC, Urban School of Paris, Créteil, France
| | - J-M Oppert
- Equipe de Recherche en Epidámiologie Nutritionnelle (EREN), Centre de Recherche en Epidámiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Université Paris 13, Bobigny, France.,Sorbonne Universités, Université Pierre et Marie Curie, Université Paris 06; Institute of Cardiometabolism and Nutrition, Department of Nutrition, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, Paris, France
| | - H Bárdos
- Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Debrecen, Hungary
| | - K Glonti
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - H Rutter
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - M McKee
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - G Nijpels
- Department of General Practice and Elderly Care, EMGO Institute for Health and Care Research, VU Medical Center Amsterdam, Amsterdam, The Netherlands
| | - J Brug
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| |
Collapse
|
31
|
Gebremariam MK, Altenburg TM, Lakerveld J, Andersen LF, Stronks K, Chinapaw MJ, Lien N. Associations between socioeconomic position and correlates of sedentary behaviour among youth: a systematic review. Obes Rev 2015; 16:988-1000. [PMID: 26317685 DOI: 10.1111/obr.12314] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2015] [Revised: 07/24/2015] [Accepted: 07/24/2015] [Indexed: 10/23/2022]
Abstract
Existing research evidence indicates that children and adolescents of parents with a low socioeconomic position spend more time on sedentary behaviour than their counterparts. However, the mechanisms driving these differences remain poorly understood. The main aim of this systematic review was to summarize the evidence regarding the association between socioeconomic position and correlates of sedentary behaviour among youth (0-18 years) from developed countries. The literature search was conducted using MEDLINE, Embase, CINAHL and PsycINFO. A total of 37 studies were included. All but three studies examined screen-based sedentary behaviours only. Methodological quality ranged from low to moderate. Education was the most commonly used indicator of socioeconomic position, followed by income. Socioeconomic position was inversely related to the presence of a TV in the child's bedroom, parental modelling for TV viewing, parental co-viewing and eating meals in front of the TV. We found no/indeterminate evidence for an association between socioeconomic position and rules and regulations about screen time. The findings suggest possible factors that could be targeted in future intervention studies to decrease screen-based sedentary behaviour in lower socioeconomic groups in particular.
Collapse
Affiliation(s)
- M K Gebremariam
- Department of Nutrition, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - T M Altenburg
- Department of Public and Occupational Health, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - J Lakerveld
- Department of Epidemiology and Biostatistics and the EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - L F Andersen
- Department of Nutrition, Faculty of Medicine, University of Oslo, Oslo, Norway
| | - K Stronks
- Department of Public Health, Faculty of Medicine, University of Amsterdam, Amsterdam, The Netherlands
| | - M J Chinapaw
- Department of Public and Occupational Health, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - N Lien
- Department of Nutrition, Faculty of Medicine, University of Oslo, Oslo, Norway
| |
Collapse
|
32
|
Abstract
BACKGROUND Subtle cognitive deficits have been found in a substantial percentage of patients with early stage amyotrophic lateral sclerosis (ALS). Cognitive function in later stages of the disease remain to be investigated because the neuropsychological tests that are usually employed, such as written or verbal fluency tests, cannot be performed by those patients because of motor or speech impairment, or both. METHODS In the present study, 11 patients with late stage ALS who were severely physically impaired and matched controls underwent a neuropsychological test battery to explore their cognitive function with respect to disease related functional status. Testing was restricted to tasks that used a binary (yes/no) signal and did not require verbalisation or measures of reaction time to index performance. RESULTS Although some patients displayed deficits in aspects of executive function, learning and memory, overall test results indicated normal cognitive function. A statistically highly significant negative correlation was found between the performance on two learning and memory tasks and the functional status of the patients. CONCLUSION The results of this study indicate a superior performance on learning and memory tasks of patients whose disease had further progressed. This may have important implications for our view on cognitive function in relation to the course of the disease.
Collapse
Affiliation(s)
- J Lakerveld
- Institute of Medical Psychology and Behavioural Neurobiology, University of Tübingen, Tübingen, Germany.
| | | | | |
Collapse
|