1
|
Gidney G, Bocarro JN, Bunds K, Koenigstorfer J. The relationship between the environment and physical activity-related motivational trajectories. PSYCHOLOGY OF SPORT AND EXERCISE 2024; 75:102719. [PMID: 39182749 DOI: 10.1016/j.psychsport.2024.102719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/10/2024] [Revised: 08/20/2024] [Accepted: 08/21/2024] [Indexed: 08/27/2024]
Abstract
The study explores motivational profiles for physical activity, using self-determination theory's full continuum of motivational regulations, and examines their stability over three months. Furthermore, it investigates whether physical environment and community characteristics are associated with transitioning between profiles, as well as the sociodemographic differences in these motivational transition pathways. Data were collected from 305 U.S. residents at three time points. The three profiles-'low in motivation' (23.5 % of the sample in wave 1), 'self-determined motivation' (41.4 %), and 'ambivalent motivation' (35.0 %)-were relatively stable. Staying in the low-in-motivation profile was negatively associated with being active in social settings, community support, perceived environmental restorativeness, and availability of physical activity opportunities. Having a higher education and income, being male, employed, married or in a partnership, and identifying as White were associated with being in a motivationally positive profile in the last wave of the study. These profiles reported higher activity and life satisfaction.
Collapse
Affiliation(s)
- Georgia Gidney
- Chair of Sport and Health Management, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Jason N Bocarro
- Department of Parks, Recreation and Tourism Management, North Carolina State University, Raleigh, NC, USA
| | - Kyle Bunds
- Department of Parks, Recreation and Tourism Management, North Carolina State University, Raleigh, NC, USA
| | - Joerg Koenigstorfer
- Chair of Sport and Health Management, School of Medicine and Health, Technical University of Munich, Georg-Brauchle-Ring 60/62, 80992, Munich, Germany.
| |
Collapse
|
2
|
Arslan N, Ayyıldız F, Esin K. A Mediation Model of Food Literacy: A Potential Relationship between Body Image Dissatisfaction and Body Mass Index. MEDICINA (KAUNAS, LITHUANIA) 2024; 60:1196. [PMID: 39202478 PMCID: PMC11356102 DOI: 10.3390/medicina60081196] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Revised: 07/08/2024] [Accepted: 07/22/2024] [Indexed: 09/03/2024]
Abstract
Background and Objectives: The global rise in obesity presents a significant public health challenge, with Turkey exhibiting one of the highest obesity rates in Europe. Body image dissatisfaction (BID) and lower food literacy (FL) have been associated with obesity, yet their interplay remains underexplored. This study aimed to investigate the relationship between body mass index (BMI), body image dissatisfaction, and FL in adults in Turkey. Materials and Methods: In total, 759 women and 419 men aged 18-64 years old were included in this study. The mean age was 31.34 ± 11.92. A total of 1178 participants completed an online questionnaire assessing anthropometric measurements, BID, using the Stunkard Figure Rating Scale, and FL, using a validated questionnaire. The data were analyzed using descriptive statistics, correlation analysis, and mediation analysis to explore the relationships between variables in SPSS 24.0. Results: Women desired to be thinner more frequently than men, and those with negative BID were predominantly individuals with overweight or obesity. Moreover, those with higher FL scores were more likely to be satisfied with their bodies. Correlation analysis demonstrated a negative relationship between BMI and FL (r = -0.94; p = 0.001) and a positive relationship between BMI and BID (r = 0.628; p < 0.001). Mediation analysis revealed that FL mediated the relationship between BID and BMI (β = -2.281; lower limit = -3.334, upper limit = -1.228). Conclusions: The findings highlight the importance of addressing BID and enhancing FL to mitigate obesity risk factors. This study contributes to understanding the complex interplay between BID, FL, and obesity, providing insights for public health interventions aimed at obesity prevention and management.
Collapse
Affiliation(s)
- Neslihan Arslan
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Erzurum Technical University, 25050 Erzurum, Türkiye;
| | - Feride Ayyıldız
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Gazi University, 06490 Ankara, Türkiye
| | - Kübra Esin
- Department of Nutrition and Dietetics, Faculty of Health Sciences, Tokat Gaziosmanpaşa University, 60250 Tokat, Türkiye;
| |
Collapse
|
3
|
Lee M, Khoo HS, Krishnasamy C, Loo ME, Wong SKW, Cheng SC, Bei E, Tan SY, Xie P, Lee ES, Tang WE. Experiences of living with overweight/obesity and early type 2 diabetes in Singapore-a qualitative interview study. BMJ Open 2024; 14:e079082. [PMID: 38719302 PMCID: PMC11086526 DOI: 10.1136/bmjopen-2023-079082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 04/09/2024] [Indexed: 05/12/2024] Open
Abstract
OBJECTIVES To understand the lived experience of adults with overweight/obesity and early type 2 diabetes in a modern urban environment, and the interrelations among the various aspects of these experiences and participants' attitudes to weight management. DESIGN Qualitative inductive approach to analysing data thematically from semistructured interviews and interpreted from a socioecological perspective. SETTING Primary care clinics located in northern and central Singapore. PARTICIPANTS 21 patients between 29 and 59 years old who are living with overweight/obese (Body Mass Index of 25.3-44.0kg/m2) and type 2 diabetes for 6 years or less. RESULTS The main themes - everyday life, people around me and within me - pointed to a combination of barriers to weight and health management for participants. These included environmental factors such as easy physical and digital access to unhealthy food, and high-stress work environments; social factors such as ambiguous family support and dietary practices of peers; and individual factors such as challenges with self-regulation, prioritising work, dealing with co-existing medical conditions and the emotional significance of food. While lack of motivation and cultural dietary practices are hard to change, a problem-solving attitude, and presence of role models, may enable behaviour change. CONCLUSION An exploration of the lifeworld of patients with overweight/obese and early type 2 diabetes revealed that work demands, dietary practices in the workplace and at home, and the easy availability of calorie-dense foods afforded by a technology-infused environment hindered the individual's efforts at maintaining a healthy weight and lifestyle. Policy and initiatives promoting work-life balance as well as individualised interventions can support participants' stress management, and problem-solving capability for behaviour change. These barriers stemmed from the various domains of the environmental, interpersonal and intrapersonal but were interrelated. They underscored the need for an integrated approach to weight and diabetes management.
Collapse
Affiliation(s)
- Mary Lee
- Health Services & Outcomes Research, National Healthcare Group, Singapore
| | - Hwee Sing Khoo
- Group Clinical Education, National Healthcare Group, Singapore
| | | | - May Eng Loo
- Health Services & Outcomes Research, National Healthcare Group, Singapore
| | - S K W Wong
- Clinical Services, National Healthcare Group Polyclinics, Singapore
| | - San Chye Cheng
- Health Services & Outcomes Research, National Healthcare Group, Singapore
| | - Eileen Bei
- Group Clinical Education, National Healthcare Group, Singapore
| | - Shu Yun Tan
- Clinical Research Unit, National Healthcare Group Polyclinics, Singapore
| | - Pauline Xie
- National Healthcare Group Polyclinics, Singapore
| | - Eng Sing Lee
- Clinical Research Unit, National Healthcare Group Polyclinics, Singapore
| | - Wern Ee Tang
- Clinical Research Unit, National Healthcare Group Polyclinics, Singapore
| |
Collapse
|
4
|
Pillay D, Ali A, Wham CA. Examining the New Zealand school food environment: what needs to change? Nutr Res Rev 2023; 36:406-419. [PMID: 35968693 DOI: 10.1017/s0954422422000154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Habitual dietary intakes and nutrition behaviours developed during childhood and adolescence pave the way for similar behaviours to manifest in adulthood. Childhood obesity rates have now reached a point where one in six children globally are classified as overweight or obese. Schools have the unique ability to reach almost all children during key developmental stages, making them an ideal setting for influencing children's nutrition behaviours. Evidence suggests the school food environment is not always conducive to healthy food choices and may be obesogenic. The aim of this narrative review is to explore factors that influence the healthy food and drink environment in and around schools in New Zealand. The review focused on evidence from New Zealand and Australia given the close resemblance in education systems and school food guidance. Using the Analysis Grid for Environments Linked to Obesity (ANGELO) framework, the school food environment was categorised into the following domains: economic, political, physical and socio-cultural factors. Findings suggest that food policies are not utilised within schools, and guidelines to improve the school food environment are not well implemented. Canteen profit models, lack of staff support and resources, and higher availability of low-cost unhealthy foods are among barriers that hinder implementation. This review highlights recommendations from existing evidence, including canteen pricing strategies, restriction of unhealthy foods and using peer modelling in a time-scarce curriculum to improve the school food environment. Key areas for improvement, opportunities to enhance policy implementation and untapped avenues to improve the food and nutrition behaviours of children are highlighted.
Collapse
Affiliation(s)
- Danika Pillay
- School of Sport, Exercise and Nutrition, Massey University, Auckland, New Zealand
| | - Ajmol Ali
- School of Sport, Exercise and Nutrition, Massey University, Auckland, New Zealand
| | - Carol A Wham
- School of Sport, Exercise and Nutrition, Massey University, Auckland, New Zealand
| |
Collapse
|
5
|
Signorini G, Scurati R, D'Angelo C, Rigon M, Invernizzi PL. Enhancing motivation and psychological wellbeing in the workplace through conscious physical activity: Suggestions from a qualitative study examining workers' experience. Front Psychol 2022; 13:1006876. [PMID: 36506982 PMCID: PMC9730336 DOI: 10.3389/fpsyg.2022.1006876] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/29/2022] [Accepted: 10/31/2022] [Indexed: 11/25/2022] Open
Abstract
Introduction After COVID-19 restrictions, hybrid solutions were established that combined smart working and work in presence. Workplace conditions significantly impact employees' lives, particularly in terms of meeting their needs and promoting their wellbeing. Based on a socio-ecological and multilevel methodology, the UP150 concept (Proactive Office 150) represents a possible innovative solution to meet employees' needs and valorize flexible work. It encourages physical exercise and active breaks during the typical workday by using particular architectural modifications, a dedicated App, and physical activity professionals as wellness coaches. The present study is the last step of the preliminary actions planned to check the benefits of the UP150 concept and aims to explore the workers' perceptions after experiencing this project. Methods The qualitative analysis of a preliminary survey (concerning information about the company structure and workers' habits) performed before conducting a randomized controlled trial intervention study and the analysis of the semi-structured interviews after 8 weeks of a UP150 experience served as datasets for this study and have been examined and discussed. Results In the preliminary survey, the young (under 40) and generally active (57% of the workers) reported being motivated to exercise but inhibited by a lack of time and a heavy workload. After 8 weeks at a modified workplace designed in accordance with the motive behind the UP150, the workers displayed noticeable positive perceptions and appreciation. Discussion The qualitative analysis confirmed and supported the effectiveness of the UP150 concept that previous research had already found in quantitative parameters related to employees' motor efficiency, psychophysical status, and amount of physical activity. Participants reported beneficial perceived effects on their wellness and psychophysical status following a UP150 experience. Moreover, the concept improved social relationships and increased motivation. In conclusion, the UP150 concept efficiently fostered a positive perception of physical exercise and directed the employees toward the assumption of healthy behaviors fitting the physical literacy paradigm.
Collapse
Affiliation(s)
- Gabriele Signorini
- Department of Biomedical Sciences for Health, Università Degli Studi di Milano, Milan, Italy
| | - Raffaele Scurati
- Department of Biomedical Sciences for Health, Università Degli Studi di Milano, Milan, Italy,*Correspondence: Raffaele Scurati
| | - Chiara D'Angelo
- Department of Psychology, Catholic University of the Sacred Heart, Milan, Italy
| | - Marta Rigon
- Department of Biomedical Sciences for Health, Università Degli Studi di Milano, Milan, Italy,Sports Faculty, San Antonio Catholic University of Murcia, Murcia, Spain
| | - Pietro Luigi Invernizzi
- Department of Biomedical Sciences for Health, Università Degli Studi di Milano, Milan, Italy
| |
Collapse
|
6
|
Serrano‐Fuentes N, Rogers A, Portillo MC. The influence of social relationships and activities on the health of adults with obesity: A qualitative study. Health Expect 2022; 25:1892-1903. [PMID: 35748121 PMCID: PMC9327877 DOI: 10.1111/hex.13540] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2022] [Revised: 04/21/2022] [Accepted: 05/17/2022] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Obesity in adults is a leading health challenge that causes millions of deaths worldwide and represents a risk factor for developing long-term conditions. Social relationships are one of the multiple drivers shaping obesity and obesity-related practices. However, there is still little evidence as to the processes by which relationships influence the adoption of positive and negative obesity health-related practices-eating, physical activity and alcohol intake. This study aims first to identify the types of relationships relevant to the adoption of practices in adults with obesity and, second, to explore the type of activities these relationships engage with or promote to produce those practices and their potential health consequences. METHODS Nineteen adults who have or had a history of obesity living in the United Kingdom were interviewed between May 2020 and March 2021. Experiences were explored through semi-structured interviews and network mapping via videoconferencing. Data were analysed using a hermeneutic phenomenology informed thematic analysis. RESULTS Three main themes were identified: (1) everyday familial routines matter, (2) chasing healthier lifestyles: comparing, modelling and connecting emotionally with friends and (3) healthcare professionals as negative influencers. DISCUSSION AND CONCLUSIONS Findings show how different types of relationships might shape the risk of developing and losing weight. They uncover the power of informal networks (family and friends) and highlight the potentially negative impact of formal ones (healthcare professionals). Our exploration could add to arguments about the need for stakeholders confronting obesity to be aware of the relevance of everyday social relationships in health and well-being strategies for tackling the issue, in creating collective and individual person-centred long-term sustainable actions. PATIENT AND PUBLIC CONTRIBUTION Feedback on the tone/content of the interview questions was provided by the two first participants. The results were checked and received feedback from one of the interviewees.
Collapse
Affiliation(s)
- Nestor Serrano‐Fuentes
- NIHR ARC Wessex, School of Health Sciences, Faculty of Environmental and Life SciencesUniversity of SouthamptonHampshireUK
| | - Anne Rogers
- School of Health Sciences, Faculty of Environmental and Life SciencesUniversity of SouthamptonHampshireUK
| | - Mari Carmen Portillo
- NIHR ARC Wessex, School of Health Sciences, Faculty of Environmental and Life SciencesUniversity of SouthamptonHampshireUK
| |
Collapse
|
7
|
Stappers NEH, Schipperijn J, Kremers SPJ, Bekker MPM, Jansen MWJ, de Vries NK, Van Kann DHH. Visualizing changes in physical activity behavioral patterns after redesigning urban infrastructure. Health Place 2022; 76:102853. [PMID: 35779325 DOI: 10.1016/j.healthplace.2022.102853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 06/13/2022] [Accepted: 06/17/2022] [Indexed: 11/04/2022]
Abstract
The aim of this study was to explore effects of a major urban reconstruction on physical activity (PA) behavior by comparing PA intensity hotspots before and after the tunneling of a highway with a new infrastructure prioritized for walking and cycling. In total, 126 individuals participated before and after the tunneling. GPS loggers and accelerometers were used to assess location and PA levels. A geographic information system (GIS) was used to perform optimized hotspot analyses on PA data, both on transport and stationary data points. The results showed several changes in PA hotspots on trip data, even if total PA levels did not change. At follow-up, PA intensity hotspots were more connected, with the new infrastructure as a central connection. This was true for higher and lower educated individuals. Therefore, if changes in the built environment do not result in changes on population-level outcomes, this does not imply that they have no impact on behavior.
Collapse
Affiliation(s)
- N E H Stappers
- Maastricht University, NUTRIM School of Nutrition and Translational Research in Metabolism, Department of Health Promotion, Maastricht, the Netherlands.
| | - J Schipperijn
- University of Southern Denmark, Research Unit for Active Living, Department of Sports Science and Clinical Biomechanics, Odense, Denmark
| | - S P J Kremers
- Maastricht University, NUTRIM School of Nutrition and Translational Research in Metabolism, Department of Health Promotion, Maastricht, the Netherlands
| | - M P M Bekker
- Maastricht University, CAPHRI Care and Public Health Research Institute, Department of Health Services Research, Maastricht, the Netherlands; Wageningen University, Center for Space, Place and Society, Social Sciences Group, Wageningen, the Netherlands
| | - M W J Jansen
- Maastricht University, CAPHRI Care and Public Health Research Institute, Department of Health Services Research, Maastricht, the Netherlands; Academic Collaborative Center for Public Health, Public Health Service South-Limburg, Heerlen, the Netherlands
| | - N K de Vries
- Maastricht University, NUTRIM School of Nutrition and Translational Research in Metabolism, Department of Health Promotion, Maastricht, the Netherlands; Maastricht University, CAPHRI Care and Public Health Research Institute, Department of Health Promotion, the Netherlands
| | - D H H Van Kann
- Maastricht University, NUTRIM School of Nutrition and Translational Research in Metabolism, Department of Health Promotion, Maastricht, the Netherlands; Fontys University of Applied Sciences, School of Sport Studies, Eindhoven, the Netherlands
| |
Collapse
|
8
|
Reversal of the Upward Trend of Obesity in Boys, but Not in Girls, in Spain. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18041842. [PMID: 33672817 PMCID: PMC7918759 DOI: 10.3390/ijerph18041842] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 02/06/2021] [Accepted: 02/11/2021] [Indexed: 01/22/2023]
Abstract
(1) Background: To compare the prevalence of overweight and obesity in boys and girls and to estimate socioeconomic differences associated with obesity in Spain in 1997, 2007, and 2017. (2) Methods: Data were drawn from national health interview surveys. For each year of study, the prevalence of overweight and obesity was measured, and these results were compared by gender (boy/girl) and socioeconomic status (low/high education). (3) Results: The prevalence of overweight and obesity rose from 1997 to 2007 but then fell in 2017 in all subgroups except in girls aged 10 to 15 years. In this group, there was a steady increase in the prevalence of both overweight (1997, 14.6%; 2007, 17.7%; 2017, 19.6%) and obesity (1.1, 3.2, and 3.7%, respectively). The decrease in prevalence of overweight in both sexes and of obesity in boys, along with the increase in prevalence of obesity in girls, was of a higher magnitude in children whose parents had a lower educational level. (4) Conclusions: The apparent turnaround in the obesity epidemic in Spain should be interpreted with caution. Children’s body weight is influenced by both gender and socioeconomic status—considerations that should be kept in mind when designing health promotion interventions.
Collapse
|
9
|
Andersen OK, O'Halloran SA, Kolle E, Lien N, Lakerveld J, Arah OA, Gebremariam MK. Adapting the SPOTLIGHT Virtual Audit Tool to assess food and activity environments relevant for adolescents: a validity and reliability study. Int J Health Geogr 2021; 20:4. [PMID: 33461559 PMCID: PMC7814470 DOI: 10.1186/s12942-021-00258-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 01/07/2021] [Indexed: 12/12/2022] Open
Abstract
Background Physical inactivity and unhealthy diet are key behavioral determinants underlying obesity. The neighborhood environment represents an important arena for modifying these behaviors, and hence reliable and valid tools to measure it are needed. Most existing virtual audit tools have been designed to assess either food or activity environments deemed relevant for adults. Thus, there is a need for a tool that combines the assessment of food and activity environments, and which focuses on aspects of the environment relevant for youth. Objective The aims of the present study were: (a) to adapt the SPOTLIGHT Virtual Audit Tool (S-VAT) developed to assess characteristics of the built environment deemed relevant for adults for use in an adolescent population, (b) to assess the tool’s inter- and intra-rater reliability, and (c) to assess its criterion validity by comparing the virtual audit to a field audit. Methods The tool adaptation was based on literature review and on results of a qualitative survey investigating how adolescents perceived the influence of the environment on dietary and physical activity behaviors. Sixty streets (148 street segments) in six neighborhoods were randomly selected as the study sample. Two raters assessed the inter- and intra-rater reliability and criterion validity, comparing the virtual audit tool to a field audit. The results were presented as percentage agreement and Cohen’s kappa (κ). Results Intra-rater agreement was found to be moderate to almost perfect (κ = 0.44–0.96) in all categories, except in the category aesthetics (κ = 0.40). Inter-rater agreement between auditors ranged from fair to substantial for all categories (κ = 0.24–0.80). Criterion validity was found to be moderate to almost perfect (κ = 0.56–0.82) for most categories, except aesthetics and grocery stores (κ = 0.26–0.35). Conclusion The adapted version of the S-VAT can be used to provide reliable and valid data on built environment characteristics deemed relevant for physical activity and dietary behavior among adolescents.
Collapse
Affiliation(s)
| | | | - Elin Kolle
- Norwegian School of Sport Sciences, Ullevaal Stadion, PO Box 4014, 0806, Oslo, Norway
| | | | - Jeroen Lakerveld
- Department of Epidemiology and Data Science, Amsterdam Public Health Research Institute, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.,Upstream Team, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Onyebuchi A Arah
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles (UCLA), Los Angeles, CA, USA.,Department of Statistics, College of Letters and Science, UCLA, Los Angeles, CA, USA.,Department of Public Health, Aarhus University, Aarhus, Denmark
| | | |
Collapse
|
10
|
den Braver NR, Kok JG, Mackenbach JD, Rutter H, Oppert JM, Compernolle S, Twisk JWR, Brug J, Beulens JWJ, Lakerveld J. Neighbourhood drivability: environmental and individual characteristics associated with car use across Europe. Int J Behav Nutr Phys Act 2020; 17:8. [PMID: 31952542 PMCID: PMC6967086 DOI: 10.1186/s12966-019-0906-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2019] [Accepted: 12/18/2019] [Indexed: 11/21/2022] Open
Abstract
BACKGROUND Car driving is a form of passive transportation associated with higher sedentary behaviour, which is associated with morbidity. The decision to drive a car is likely to be influenced by the 'drivability' of the built environment, but there is lack of scientific evidence regarding the relative contribution of environmental characteristics of car driving in Europe, compared to individual characteristics. This study aimed to determine which neighbourhood- and individual-level characteristics were associated with car driving in adults of five urban areas across Europe. Second, the study aimed to determine the percentage of variance in car driving explained by individual- and neighbourhood-level characteristics. 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 = 4258). 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, but total explained variance remained low. CONCLUSIONS Residential density and land-use mix were neighbourhood characteristics 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. This study suggests that more, higher quality, and longitudinal data are needed to increase our understanding of car use and its effects on determinants of health.
Collapse
Affiliation(s)
- Nicolette R. den Braver
- Department of Epidemiology and Biostatistics, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam Public Health research institute, Amsterdam, Amsterdam, The Netherlands
| | - Julia G. Kok
- Department of Epidemiology and Biostatistics, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam Public Health research institute, Amsterdam, Amsterdam, The Netherlands
| | - Joreintje D. Mackenbach
- Department of Epidemiology and Biostatistics, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam Public Health research institute, Amsterdam, Amsterdam, The Netherlands
| | - Harry Rutter
- Department of Social and Policy Sciences, University of Bath, Bath, UK
| | - Jean-Michel Oppert
- Department of Nutrition Pitié-Salpêtrière, Sorbonne Université; Institute of Cardiometabolism and Nutrition, Hospital, Assistance Publique-Hôpitaux de Paris, Paris, 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
| | - Sofie Compernolle
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Jos W. R. Twisk
- Department of Epidemiology and Biostatistics, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam Public Health research institute, Amsterdam, Amsterdam, The Netherlands
| | - Johannes Brug
- National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- The Netherlands and the Amsterdam School for Communication Research, University of Amsterdam, Amsterdam, The Netherlands
| | - Joline W. J. Beulens
- Department of Epidemiology and Biostatistics, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam Public Health research institute, Amsterdam, Amsterdam, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Jeroen Lakerveld
- Department of Epidemiology and Biostatistics, Amsterdam University Medical Centers, Vrije Universiteit Amsterdam, Amsterdam Public Health research institute, Amsterdam, Amsterdam, The Netherlands
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
- Global Geo Health Data Center, Utrecht University, Utrecht, The Netherlands
| |
Collapse
|
11
|
Berger N, Lewis D, Quartagno M, Njagi EN, Cummins S. Longitudinal associations between perceptions of the neighbourhood environment and physical activity in adolescents: evidence from the Olympic Regeneration in East London (ORiEL) study. BMC Public Health 2019; 19:1760. [PMID: 31888573 PMCID: PMC6937816 DOI: 10.1186/s12889-019-8003-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Accepted: 11/26/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Most UK adolescents do not achieve recommended levels of physical activity. Previous studies suggested that perceptions of the neighbourhood environment could contribute to explain differences in physical activity behaviours. We aimed to examine whether five measures of perceptions - perceived bus stop proximity, traffic safety, street connectivity, enjoyment of the neighbourhood for walking/cycling, and personal safety - were longitudinally associated with common forms of physical activity, namely walking to school, walking for leisure, and a composite measure of outdoor physical activity. We further aimed to investigate the moderating role of gender. METHODS We used longitudinal data from the Olympic Regeneration in East London (ORiEL) study, a prospective cohort study. In 2012, 3106 adolescents aged 11 to 12 were recruited from 25 schools in 4 deprived boroughs of East London. Adolescents were followed-up in 2013 and 2014. The final sample includes 2260 adolescents surveyed at three occasions. We estimated logistic regression models using Generalised Estimating Equations to test the plausibility of hypotheses on the nature of the longitudinal associations (general association, cumulative effect, co-varying trajectories), adjusting for potential confounders. Item non-response was handled using multiple imputation. RESULTS Longitudinal analyses indicate little evidence that perceptions of the neighbourhood are important predictors of younger adolescent physical activity. There was weak evidence that greater perceived proximity to bus stops is associated with a small decrease in the probability of walking for leisure. Results also indicate that poorer perception of personal safety decreases the probability of walking for leisure. There was some indication that better perception of street connectivity is associated with more outdoor physical activity. Finally, we found very little evidence that the associations between perceptions of the neighbourhood and physical activity differed by gender. CONCLUSIONS This study suggests that younger adolescents' perceptions of their neighbourhood environment, and changes in these perceptions, did not consistently predict physical activity in a deprived and ethnically diverse urban population. Future studies should use situation-specific measures of the neighbourhood environment and physical activity to better capture the hypothesised processes and explore the relative roles of the objective environment, parental and adolescents' perceptions in examining differences in types of physical activity.
Collapse
Affiliation(s)
- Nicolas Berger
- Population Health Innovation Lab, Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London, UK
| | - Daniel Lewis
- Population Health Innovation Lab, Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London, UK
- Data Science Campus, Office for National Statistics, London, UK
| | - Matteo Quartagno
- MRC Clinical Trials Unit, University College London, London, UK
- Department of Medical Statistics, London School of Hygiene & Tropical Medicine, London, UK
| | - Edmund Njeru Njagi
- Department of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK
| | - Steven Cummins
- Population Health Innovation Lab, Department of Public Health, Environments and Society, London School of Hygiene & Tropical Medicine, 15-17 Tavistock Place, London, UK
| |
Collapse
|
12
|
Pinho MGM, Mackenbach JD, Charreire H, Oppert JM, Rutter H, Beulens JWJ, Brug J, Lakerveld J. Comparing Different Residential Neighborhood Definitions and the Association Between Density of Restaurants and Home Cooking Among Dutch Adults. Nutrients 2019; 11:E1796. [PMID: 31382624 PMCID: PMC6722945 DOI: 10.3390/nu11081796] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Revised: 07/31/2019] [Accepted: 08/01/2019] [Indexed: 11/16/2022] Open
Abstract
The definition of neighborhoods as areas of exposure to the food environment is a challenge in food environment research. We aimed to test the association of density of restaurants with home cooking using four different definitions of residential neighborhoods. We also tested effect modification by age, length of residency, education, and income. This innovative cross-sectional study was conducted in the Netherlands (N = 1245 adults). We calculated geographic information system-based measures of restaurant density using residential administrative neighborhood boundaries, 800 m and 1600 m buffers around the home and respondents' self-defined boundaries (drawn by the respondents on a map of their residential area). We used adjusted Poisson regression to test associations of restaurant density (tertiles) and the outcome "weekly consumption of home-cooked meals" (six to seven as compared to five days per week (day/week) or fewer). Most respondents reported eating home-cooked meals for at least 6 day/week (74.2%). Regardless of the neighborhood definition used, no association between food environment and home cooking was observed. No effect modification was found. Although exposure in terms of density of restaurants was different according to the four different neighborhood definitions, we found no evidence that the area under study influences the association between density of restaurants and home cooking among Dutch adults.
Collapse
Affiliation(s)
- Maria Gabriela M Pinho
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health, De Boelelaan 1089a, 1081 HV Amsterdam, The Netherlands.
| | - Joreintje D Mackenbach
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health, De Boelelaan 1089a, 1081 HV Amsterdam, The Netherlands
| | - Hélène Charreire
- Université Paris Est Créteil (UPEC), LabUrba, UPEC, 61 Avenue du Général de Gaulle, 94010 Créteil, France
- 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
| | - Jean-Michel 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
- Department of Nutrition, Institute of Cardiometabolism and Nutrition, Sorbonne Université, Pitié-Salpêtrière Hospital, 47-83 Boulevard de l'Hôpital, 75013 Paris, France
| | - Harry Rutter
- Department of Social and Policy Sciences, University of Bath, Bath BA2 7AY, UK
| | - Joline W J Beulens
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health, 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
| | - Johannes Brug
- Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Nieuwe Achtergracht 166, 1018 WV Amsterdam, The Netherlands
- National Institute for Public Health and the Environment, Antoni van Leeuwenhoeklaan 9, 3721 MA Bilthoven, The Netherlands
| | - Jeroen Lakerveld
- Department of Epidemiology and Biostatistics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam Public Health, 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
- Faculty of Geosciences, Utrecht University, Vening Meinesz building A, Princetonlaan 8a, 3584 CB Utrecht, The Netherlands
| |
Collapse
|
13
|
Exploring absolute and relative measures of exposure to food environments in relation to dietary patterns among European adults. Public Health Nutr 2018; 22:1037-1047. [PMID: 30523774 PMCID: PMC6536821 DOI: 10.1017/s1368980018003063] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Objective To explore the associations of absolute and relative measures of exposure to food retailers with dietary patterns, using simpler and more complex measures. Design Cross-sectional survey. Setting Urban regions in Belgium, France, Hungary, the Netherlands and the UK. Participants European adults (n 4942). Supermarkets and local food shops were classified as ‘food retailers providing healthier options’; fast-food/takeaway restaurants, cafés/bars and convenience/liquor stores as ‘food retailers providing less healthy options’. Simpler exposure measures used were density of healthy and density of less healthy food retailers. More complex exposure measures used were: spatial access (combination of density and proximity) to healthy and less healthy food retailers; density of healthier food retailers relative to all food retailers; and a ratio of spatial access scores to healthier and less healthy food retailers. Outcome measures were a healthy or less healthy dietary pattern derived from a principal component analysis (based on consumption of fruits, vegetables, fish, fast foods, sweets and sweetened beverages). Results Only the highest density of less healthy food retailers was significantly associated with the less healthy dietary pattern (β = −129·6; 95 % CI −224·3, −34·8). None of the other absolute density measures nor any of the relative measures of exposures were associated with dietary patterns. Conclusions More complex measures of exposure to food retailers did not produce stronger associations with dietary patterns. We had some indication that absolute and relative measures of exposure assess different aspects of the food environment. However, given the lack of significant findings, this needs to be further explored.
Collapse
|
14
|
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] [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
|
15
|
Lakerveld J, Mackenbach JD, de Boer F, Brandhorst B, Broerse JEW, de Bruijn GJ, Feunekes G, Gillebaart M, Harbers M, Hoenink J, Klein M, Mensink F, Middel C, de Ridder DTD, Rutters F, Sluijs I, van der Schouw YT, Schuitmaker TJ, Te Velde SJ, Velema E, Waterlander W, Brug J, Beulens JWJ. Improving cardiometabolic health through nudging dietary behaviours and physical activity in low SES adults: design of the Supreme Nudge project. BMC Public Health 2018; 18:899. [PMID: 30029600 PMCID: PMC6054749 DOI: 10.1186/s12889-018-5839-1] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2018] [Accepted: 07/12/2018] [Indexed: 12/15/2022] Open
Abstract
Background Initiating and maintaining a healthy lifestyle -including healthy eating and sufficient physical activity- is key for cardiometabolic health. A health-promoting environment can facilitate a healthy lifestyle, and may be especially helpful to reach individuals with a lower socio-economic status (SES). In the Supreme Nudge project, we will study the effects of pricing and nudging strategies in the supermarket – one of the most important point-of-choice settings for food choices – and of a context-specific mobile physical activity promotion app. This paper describes the stepwise and theory-based design of Supreme Nudge, which aims to develop, implement and evaluate environmental changes for a sustained impact on lifestyle behaviours and cardiometabolic health in low SES adults. Methods Supreme Nudge uses a multi-disciplinary and mixed methods approach, integrating participatory action research, qualitative interviews, experimental pilot studies, and a randomized controlled trial in a real-life (supermarket) setting. First, we will identify the needs, characteristics and preferences of the target group as well as of the participating supermarket chain. Second, we will conduct a series of pilot studies to test novel, promising and feasible intervention components. Third, a final selection of intervention components will be implemented in a full-scale randomised controlled supermarket trial. Approximately 1000 low SES adults will be recruited across 8–12 supermarkets and randomised at supermarket level to receive 1) no intervention (control); 2) environmental nudges such as food product placement or promotion; 3) nudges and a tailored physical activity app that provides time- and context specific feedback; 4) pricing interventions, nudges, and the physical activity app. The effects on dietary behaviours and physical activity will be evaluated at 3, 6 and 12 months, and on cardiometabolic health at 6 and 12 months. Finally, we will evaluate the Reach, Effectiveness, Adoption, Implementation and Maintenance (RE-AIM) of the intervention, and we will use insights from System Innovation and Transition Management theories to define the best strategies for implementation and upscaling beyond the study period. Discussion The Supreme Nudge project is likely to generate thorough evidence relevant for policy and practice on the effects of a mixed method and multi-disciplinary intervention targeting dietary behaviours and physical activity. Trial registration The real-life trial has been registered on 30 May 2018, NTR7302.
Collapse
Affiliation(s)
- Jeroen Lakerveld
- Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, VU University Medical Center, Amsterdam, the Netherlands.
| | - Joreintje D Mackenbach
- Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, VU University Medical Center, Amsterdam, the Netherlands
| | - Femke de Boer
- Department of Social, Health and Organizational Psychology, Utrecht University, Utrecht, the Netherlands
| | - Boris Brandhorst
- University of Amsterdam, Amsterdam School of Communication Research ASCoR, Amsterdam, the Netherlands
| | - Jacqueline E W Broerse
- Athena Institute, Faculty of Science, VU University Amsterdam, Amsterdam, the Netherlands
| | - Gert-Jan de Bruijn
- University of Amsterdam, Amsterdam School of Communication Research ASCoR, Amsterdam, the Netherlands
| | - Gerda Feunekes
- Netherlands Nutrition Centre, the Hague, the Netherlands
| | - Marleen Gillebaart
- Department of Social, Health and Organizational Psychology, Utrecht University, Utrecht, the Netherlands
| | - Marjolein Harbers
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Jody Hoenink
- Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, VU University Medical Center, Amsterdam, the Netherlands
| | - Michel Klein
- Department of Computer Science, VU University Amsterdam, Amsterdam, the Netherlands
| | | | - Cédric Middel
- Athena Institute, Faculty of Science, VU University Amsterdam, Amsterdam, the Netherlands
| | - Denise T D de Ridder
- Department of Social, Health and Organizational Psychology, Utrecht University, Utrecht, the Netherlands
| | - Femke Rutters
- Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, VU University Medical Center, Amsterdam, the Netherlands
| | - Ivonne Sluijs
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Yvonne T van der Schouw
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Tjerk Jan Schuitmaker
- Athena Institute, Faculty of Science, VU University Amsterdam, Amsterdam, the Netherlands
| | | | | | - Wilma Waterlander
- Department of Public Health, Amsterdam Public Health Research institute, Academic Medical Centre, University of Amsterdam, Amsterdam, the Netherlands
| | - Johannes Brug
- University of Amsterdam, Amsterdam School of Communication Research ASCoR, Amsterdam, the Netherlands
| | - Joline W J Beulens
- Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, VU University Medical Center, Amsterdam, the Netherlands.,Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, the Netherlands
| |
Collapse
|
16
|
Exploring the cross-sectional association between outdoor recreational facilities and leisure-time physical activity: the role of usage and residential self-selection. Int J Behav Nutr Phys Act 2018; 15:55. [PMID: 29914517 PMCID: PMC6006552 DOI: 10.1186/s12966-018-0689-x] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Accepted: 06/04/2018] [Indexed: 11/22/2022] Open
Abstract
Background The availability of outdoor recreational facilities is associated with increased leisure-time physical activity (PA). We investigated how much of this association is attributable to selection effects, and explored whether usage of recreational facilities was an explanatory mechanism. Methods We analysed data from 5199 participants in the SPOTLIGHT survey residing in five European urban regions. Adults completed a survey and a Google Street View-based virtual audit was conducted to objectively measure the availability of outdoor recreational facilities in the residential neighbourhood. We used negative binomial GEE models to examine the association between objective and subjective availability of outdoor recreational facilities and leisure-time PA, and explored whether this association was attenuated after adjustment for socioeconomic status and preference for neighbourhoods with recreational facilities (as indicators of self-selection). We examined whether reported use of recreational facilities was associated with leisure-time PA (as explanatory mechanism), and summarized the most important motivations for (not) using recreational facilities. Results Subjective – but not objective – availability of outdoor recreational facilities was associated with higher levels of total leisure-time PA. After adjustment for self-selection (which attenuated the association by 25%), we found a 25% difference in weekly minutes of total leisure-time PA between individuals with and without self-reported availability of outdoor recreational facilities. For our study population, this translates to about 28 min per week. Participants who reported outdoor recreational facilities to be present but indicated not to use them (RR = 1.19, 95% CI = 1.03;1.22), and those reporting outdoor recreational facilities to be present and to use them (RR = 1.33, 95% CI = 1.22, 1.45) had higher levels of total leisure-time PA than those who reported outdoor recreational facilities not to be present. Proximity to outdoor recreational facilities was the most important motivation for use. Conclusion The modest attenuation in the association between availability of outdoor recreational facilities and self-reported leisure-time PA suggests that individuals’ higher activity levels may be due more to the perceived availability of outdoor recreational facilities than to self-selection. The use of these facilities seemed to be an important underlying mechanism, and proximity was the main motivator for using recreational facilities. Electronic supplementary material The online version of this article (10.1186/s12966-018-0689-x) contains supplementary material, which is available to authorized users.
Collapse
|
17
|
Carraça EV, Mackenbach JD, Lakerveld J, Rutter H, Oppert JM, De Bourdeaudhuij I, Compernolle S, Roda C, Bardos H, Teixeira PJ. Lack of interest in physical activity - individual and environmental attributes in adults across Europe: The SPOTLIGHT project. Prev Med 2018; 111:41-48. [PMID: 29474850 DOI: 10.1016/j.ypmed.2018.02.021] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/08/2017] [Revised: 01/25/2018] [Accepted: 02/19/2018] [Indexed: 01/11/2023]
Abstract
A considerable proportion of European adults report little or no interest in physical activity. Identifying individual-level and environmental-level characteristics of these individuals can help designing effective interventions and policies to promote physical activity. This cross-sectional study additionally explored associations between level of interest and physical activity, after controlling for other individual and environmental variables. Measures of objective and perceived features of the physical environment of residence, self-reported physical activity and other lifestyle behaviors, barriers towards physical activity, general health, and demographics were obtained from 5205 European adults participating in the 2014 online SPOTLIGHT survey. t-Tests, chi-square tests, and generalized estimating equations with negative binomial log-link function were conducted. Adults not interested in physical activity reported a higher BMI and a lower self-rated health, were less educated, and to a smaller extent female and less frequently employed. They were more prone to have less healthy eating habits, and to perceive more barriers towards physical activity. Only minor differences were observed in environmental attributes: the non-interested were slightly more likely to live in neighborhoods objectively characterized as less aesthetic and containing more destinations, and perceived as less functional, safe, and aesthetic. Even after controlling for other individual and environmental factors, interest in physical activity remained a significant correlate of physical activity, supporting the importance of this association. This study is among the first to describe characteristics of individuals with reduced interest in physical activity, suggesting that (lack of) interest is a robust correlate of physical activity in several personal and environmental conditions.
Collapse
Affiliation(s)
- Eliana V Carraça
- Interdisciplinary Center for the Study of Human Performance, Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal
| | - Joreintje D Mackenbach
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center Amsterdam, The Netherlands
| | - Jeroen Lakerveld
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center Amsterdam, The Netherlands
| | - Harry Rutter
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Jean-Michel 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, F-93017 Bobigny, France; Sorbonne Université, Department of Nutrition Pitié-Salpêtrière Hospital (AP-HP), Centre for Research on Human Nutrition Ile-de-France (CRNH IdF), Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
| | - Ilse De Bourdeaudhuij
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Sofie Compernolle
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Célina 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, F-93017 Bobigny, France
| | - Helga Bardos
- Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Hungary
| | - Pedro J Teixeira
- Interdisciplinary Center for the Study of Human Performance, Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal.
| |
Collapse
|
18
|
Kornet‐van der Aa DA, van Randeraad‐van der Zee CH, Mayer J, Borys JM, Chinapaw MJM. Recommendations for obesity prevention among adolescents from disadvantaged backgrounds: a concept mapping study among scientific and professional experts. Pediatr Obes 2018; 13:389-392. [PMID: 28921882 PMCID: PMC6001431 DOI: 10.1111/ijpo.12239] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2017] [Revised: 07/25/2017] [Accepted: 08/05/2017] [Indexed: 01/11/2023]
Abstract
The present study aimed to enrich the scientific evidence on obesity prevention programmes for adolescents from socio-economically disadvantaged backgrounds with practice-based experiences from both scientific and professional experts in the field of youth obesity prevention. We used the participatory method of concept mapping. Two concept mapping sessions were conducted: one with programme coordinators of national/regional obesity prevention programmes across Europe (n = 8) and one with scientists participating in European obesity prevention projects (n = 5). Five recommendations were extracted from both concept maps: (1) involve adolescents in the design and delivery of the programme, (2) invest in family/parental capacity building, (3) provide and support a healthy school food and physical activity environment, (4) regulate exposure to unhealthy messages/advertising and (5) facilitate safe and active travel. These recommendations can be used as a conceptual framework for programme development for preventing obesity in adolescents.
Collapse
Affiliation(s)
- D. A. Kornet‐van der Aa
- Department of Public and Occupational Health, Amsterdam Public Health research instituteVU University Medical CenterAmsterdamThe Netherlands
| | - C. H. van Randeraad‐van der Zee
- Department of Public and Occupational Health, Amsterdam Public Health research instituteVU University Medical CenterAmsterdamThe Netherlands
| | | | | | - M. J. M. Chinapaw
- Department of Public and Occupational Health, Amsterdam Public Health research instituteVU University Medical CenterAmsterdamThe Netherlands
| |
Collapse
|
19
|
Abstract
OBJECTIVES We aimed to examine the associations of both objectively assessed and perceived physical and social neighborhood characteristics with happiness in European adults. In addition, we aimed to study how these associations differed among subgroups. METHODS Participants (N = 6037) of the cross-sectional SPOTLIGHT survey reported on their level of happiness using a 5-point Likert scale, and on perceived physical and social environmental neighborhood characteristics. Objective physical environmental characteristics were assessed using a Google Street View-based neighborhood audit. Associations of 14 physical and social environmental characteristics with happiness were analyzed using multivariable multinomial regression analyses with clustered standard errors. RESULTS Living in neighborhoods with higher levels of aesthetics and more water and green space was associated with being very happy. Individuals who perceived their neighborhood to be safer, more functional and more aesthetic were more likely to be very happy. The associations of functionality and aesthetics with happiness were strongest in the Ghent region (Belgium), the Randstad (the Netherlands) and Greater London (United Kingdom). Perceived absence of air pollution was only associated with higher levels of happiness in more highly educated participants. Individuals with a larger social network, more social cohesion and who trusted their neighbors were more likely to be very happy. The association between social networks and happiness was somewhat stronger in men than in women. In general, the associations between environmental characteristics and happiness had similar directions and sizes across socio-economic and socio-demographic subgroups. CONCLUSIONS This European study provided evidence that both objectively assessed and perceived physical and social characteristics of the neighborhood environment are associated with the happiness of its residents.
Collapse
|
20
|
Pinho MGM, Mackenbach JD, Charreire H, Oppert JM, Bárdos H, Rutter H, Compernolle S, Beulens JWJ, Brug J, Lakerveld J. Spatial access to restaurants and grocery stores in relation to frequency of home cooking. Int J Behav Nutr Phys Act 2018; 15:6. [PMID: 29338756 PMCID: PMC5771126 DOI: 10.1186/s12966-017-0640-6] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Accepted: 12/21/2017] [Indexed: 01/10/2023] Open
Abstract
Background Little is known about the relation between the neighbourhood food environment and home cooking. We explored the independent and combined associations between residential neighbourhood spatial access to restaurants and grocery stores with home cooking in European adults. Methods Data of 5076 participants of the SPOTLIGHT study were collected across five European countries in 2014. Food retailers were classified into grocery stores (supermarkets and local food shops) and restaurants (full-service restaurants, fast food and take-away restaurants, café/bars). We used multinomial logistic regression models to test the associations between tertiles of spatial access to restaurants and spatial to access grocery stores and the outcome ‘frequency of home cooking’ categorized into 0-3; 4-5; and 6-7 days/week. Additive interaction analysis was used to test the combined association between access to grocery stores and to restaurants with home cooking. Results Mean age was 52.3 years; most participants were women (55.5%) and completed higher education (53.8%). Residents with highest access to restaurants had a reduced likelihood of home cooking 6-7 days/week (vs. 0-3 days/week) (relative risk ratio (RRR) 0.42; 95%CI = 0.23-0.76) when compared with lowest access to restaurants. No association was found for spatial access to grocery stores. Additive interaction analysis showed that individuals with medium access to grocery stores and highest access to restaurants had the lowest likelihood (RRR = 0.29, 95%CI = 0.10-0.84) of cooking 6-7 days/week when compared to individuals with lowest access to restaurants and highest access to grocery stores. Conclusion Greater neighbourhood spatial access to restaurants was associated with lower frequency of home cooking, largely independent of access to grocery stores. Electronic supplementary material The online version of this article (10.1186/s12966-017-0640-6) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Maria Gabriela M Pinho
- Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, VU University Medical Center Amsterdam, Amsterdam, The Netherlands.
| | - Joreintje D Mackenbach
- Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, VU University Medical Center Amsterdam, Amsterdam, The Netherlands
| | - Hélène 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.,Université Paris Est, Créteil, UPEC, Lab-Urba, Créteil, France
| | - Jean-Michel 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, 47-83 Boulevard de l'Hôpital, 75013, Paris, France
| | - Helga Bárdos
- Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Debrecen, Hungary
| | - Harry Rutter
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - Sofie Compernolle
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Joline W J Beulens
- Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, VU University Medical Center Amsterdam, Amsterdam, The Netherlands.,Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Johannes Brug
- Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, VU University Medical Center Amsterdam, Amsterdam, The Netherlands.,Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Amsterdam, The Netherlands
| | - Jeroen Lakerveld
- Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, VU University Medical Center Amsterdam, Amsterdam, The Netherlands
| |
Collapse
|
21
|
Brug J, van der Ploeg HP, Loyen A, Ahrens W, Allais O, Andersen LF, Cardon G, Capranica L, Chastin S, De Bourdeaudhuij I, De Craemer M, Donnelly A, Ekelund U, Finglas P, Flechtner-Mors M, Hebestreit A, Kubiak T, Lanza M, Lien N, MacDonncha C, Mazzocchi M, Monsivais P, Murphy M, Nicolaou M, Nöthlings U, O’Gorman DJ, Renner B, Roos G, van den Berg M, Schulze MB, Steinacker JM, Stronks K, Volkert D, Lakerveld J. Determinants of diet and physical activity (DEDIPAC): a summary of findings. Int J Behav Nutr Phys Act 2017; 14:150. [PMID: 29100542 PMCID: PMC5670716 DOI: 10.1186/s12966-017-0609-5] [Citation(s) in RCA: 49] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2017] [Accepted: 10/27/2017] [Indexed: 12/16/2022] Open
Abstract
The establishment of the Determinants of Diet and Physical Activity (DEDIPAC) Knowledge Hub, 2013-2016, was the first action taken by the 'Healthy Diet for a Healthy Life' European Joint Programming Initiative. DEDIPAC aimed to provide better insight into the determinants of diet, physical activity and sedentary behaviour across the life course, i.e. insight into the causes of the causes of important, non-communicable diseases across Europe and beyond. DEDIPAC was launched in late 2013, and delivered its final report in late 2016. In this paper we give an overview of what was achieved in terms of furthering measurement and monitoring, providing overviews of the state-of-the-art in the field, and building toolboxes for further research and practice. Additionally, we propose some of the next steps that are now required to move forward in this field, arguing in favour of 1) sustaining the Knowledge Hub and developing it into a European virtual research institute and knowledge centre for determinants of behavioural nutrition and physical activity with close links to other parts of the world; 2) establishing a cohort study of families across all regions of Europe focusing specifically on the individual and contextual determinants of major, non-communicable disease; and 3) furthering DEDIPAC's work on nutrition, physical activity, and sedentary behaviour policy evaluation and benchmarking across Europe by aligning with other international initiatives and by supporting harmonisation of pan-European surveillance.
Collapse
Affiliation(s)
- Johannes Brug
- Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Amsterdam, The Netherlands
| | - Hidde P. van der Ploeg
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
- Sydney School of Public Health, University of Sydney, Sydney, NSW Australia
| | - Anne Loyen
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Wolfgang Ahrens
- Leibniz-Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
| | | | | | - Greet Cardon
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - Laura Capranica
- Department of Movement, Human and Health Sciences, University of Rome Foro Italico, Rome, Italy
| | - Sebastien Chastin
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
- Institute for Applied Health Research, School of Health and Life Science, Glasgow Caledonian University, Scotland, UK
| | | | - Marieke De Craemer
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
| | - Alan Donnelly
- Centre for Physical Activity and Health Research, University of Limerick, Limerick, Ireland
| | - Ulf Ekelund
- Norwegian Institute of Public Health, Oslo, Norway
| | | | - Marion Flechtner-Mors
- Department of Internal Medicine II, Division of Sports and Rehabilitation Medicine, University Ulm, Ulm, Germany
| | - Antje Hebestreit
- Leibniz-Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
| | | | - Massimo Lanza
- Department of Neurosciences, Biomedicine and Movement Sciences, Verona, Italy
| | - Nanna Lien
- Department of Nutrition, University of Oslo, Oslo, Norway
| | - Ciaran MacDonncha
- Health Research Institute, University of Limerick, Limerick, Ireland
| | - Mario Mazzocchi
- Department of Statistical Sciences of the University of Bologna, Bologna, Italy
| | - Pablo Monsivais
- Centre for Diet and Activity Research, MRC-Epidemiology Unit, School of Medicine, University of Cambridge, Cambridge, UK
| | - Marie Murphy
- Sport & Exercise Sciences Research Institute, Ulster University, Northern Ireland, UK
| | - Mary Nicolaou
- Department of Public Health, Amsterdam Public Health research institute, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Ute Nöthlings
- Department of Nutrition and Food Science, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
| | - Donal J. O’Gorman
- 3U Diabetes, School of Health and Human Performance, Dublin City University, Dublin, Ireland
| | - Britta Renner
- Department of Psychology, University of Konstanz, Konstanz, Germany
| | - Gun Roos
- Consumption Research Norway, Oslo and Akershus University College of Applied Sciences, Oslo, Norway
| | - Matthijs van den Berg
- Department of Prevention & Nutrition, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Jürgen M. Steinacker
- Department of Internal Medicine II, Division of Sports and Rehabilitation Medicine, University Ulm, Ulm, Germany
| | - Karien Stronks
- Department of Public Health, Amsterdam Public Health research institute, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
| | - Dorothee Volkert
- Institute for Biomedicine of Aging, Friedrich-Alexander-Universität Erlangen-Nürnberg, Nuremberg, Germany
| | - Jeroen Lakerveld
- Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, VU University Medical Center, De Boelelaan 1089a, 1081 HV Amsterdam, The Netherlands
| | - on behalf of the DEDIPAC consortium
- Amsterdam School of Communication Research (ASCoR), University of Amsterdam, Amsterdam, The Netherlands
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
- Sydney School of Public Health, University of Sydney, Sydney, NSW Australia
- Leibniz-Institute for Prevention Research and Epidemiology – BIPS, Bremen, Germany
- INRA, UR1303 ALISS, F-94205 Ivry-sur-Seine, France
- Department of Nutrition, University of Oslo, Oslo, Norway
- Department of Movement and Sports Sciences, Ghent University, Ghent, Belgium
- Department of Movement, Human and Health Sciences, University of Rome Foro Italico, Rome, Italy
- Institute for Applied Health Research, School of Health and Life Science, Glasgow Caledonian University, Scotland, UK
- Centre for Physical Activity and Health Research, University of Limerick, Limerick, Ireland
- Norwegian Institute of Public Health, Oslo, Norway
- Institute of Food Research, Norwich, UK
- Department of Internal Medicine II, Division of Sports and Rehabilitation Medicine, University Ulm, Ulm, Germany
- Johannes Gutenberg University, Mainz, Germany
- Department of Neurosciences, Biomedicine and Movement Sciences, Verona, Italy
- Health Research Institute, University of Limerick, Limerick, Ireland
- Department of Statistical Sciences of the University of Bologna, Bologna, Italy
- Centre for Diet and Activity Research, MRC-Epidemiology Unit, School of Medicine, University of Cambridge, Cambridge, UK
- Sport & Exercise Sciences Research Institute, Ulster University, Northern Ireland, UK
- Department of Public Health, Amsterdam Public Health research institute, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands
- Department of Nutrition and Food Science, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany
- 3U Diabetes, School of Health and Human Performance, Dublin City University, Dublin, Ireland
- Department of Psychology, University of Konstanz, Konstanz, Germany
- Consumption Research Norway, Oslo and Akershus University College of Applied Sciences, Oslo, Norway
- Department of Prevention & Nutrition, National Institute for Public Health and the Environment, Bilthoven, The Netherlands
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute for Biomedicine of Aging, Friedrich-Alexander-Universität Erlangen-Nürnberg, Nuremberg, Germany
- Department of Epidemiology and Biostatistics, Amsterdam Public Health research institute, VU University Medical Center, De Boelelaan 1089a, 1081 HV Amsterdam, The Netherlands
| |
Collapse
|
22
|
van Nassau F, Mackenbach JD, Compernolle S, de Bourdeaudhuij I, Lakerveld J, van der Ploeg HP. Individual and environmental correlates of objectively measured sedentary time in Dutch and Belgian adults. PLoS One 2017; 12:e0186538. [PMID: 29040315 PMCID: PMC5645140 DOI: 10.1371/journal.pone.0186538] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2016] [Accepted: 10/03/2017] [Indexed: 11/18/2022] Open
Abstract
As the detrimental health effects of sedentary behaviour are well established, insight into the individual and environmental factors that influence adults’ sedentary behaviour is needed. Most studies to date rely on self-reported measures of sedentary time. Therefore, the aim of the current study was to examine individual and environmental correlates of objectively measured sedentary time in Dutch and Belgian adults. Between March and August 2014, Belgian (n = 133) and Dutch (n = 223) adults, recruited as sub-sample of the SPOTLIGHT survey, wore an ActiGraph accelerometer to provide objectively measured sedentary and moderate to vigorous physical activity time. Participants completed a questionnaire assessing sociodemographic (country of residence, age, gender and educational level), lifestyle (sleep, smoking, sugar-containing beverage consumption, alcohol intake), health (body mass index, self-rated health), work (employment status and type of work), happiness, physical environmental (owning a car, number of screens, socioeconomic status and residential density) and social environmental factors (social network, social cohesion). Univariate and multivariable regression analyses showed that Belgian participants had a lower odds of being sedentary for at least 9 hours per day compared to Dutch participants. Women, older participants and those meeting the WHO recommendation for physical activity were also less likely to sit for 9 hours or more per day. Participants doing (heavy) manual work or being in education, homemaker, unemployed had lower odds of being sedentary for at least 9 hours per day compared to participants with a sitting job. Those with a higher self-reported social network also had lower odds for sedentary time. No associations between physical and other social environmental characteristics and sedentary time were found. Our findings add to the growing evidence of factors associated with prolonged sedentary time in adults. These findings may be used to inform the development of strategies and interventions aimed at reducing sedentary time, and to identify high risk groups.
Collapse
Affiliation(s)
- Femke van Nassau
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
- * E-mail:
| | - Joreintje D. Mackenbach
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Sofie Compernolle
- Department of Movement and Sport Sciences, Ghent University, Ghent, Belgium
| | | | - Jeroen Lakerveld
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Hidde P. van der Ploeg
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| |
Collapse
|
23
|
|
24
|
Objectively measured physical environmental neighbourhood factors are not associated with accelerometer-determined total sedentary time in adults. Int J Behav Nutr Phys Act 2017; 14:94. [PMID: 28705186 PMCID: PMC5513055 DOI: 10.1186/s12966-017-0551-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2017] [Accepted: 07/07/2017] [Indexed: 12/05/2022] Open
Abstract
Background The physical neighbourhood environment may influence adults’ sedentary behaviour. Yet, most studies examining the association between the physical neighbourhood environment and sedentary behaviour rely on self-reported data of either the physical neighbourhood environment and/or sedentary behaviour. The aim of this study was to investigate the associations between objectively measured physical environmental neighbourhood factors and accelerometer-determined total sedentary time in adults. Methods In total, 219 Dutch and 128 Belgian adults (mean age ± SD: 55.8 ± 15.4 years) were recruited between March and August 2014 as part of the European SPOTLIGHT project. Physical environmental neighbourhood factors, grouped into eight domains, i.e. walking, cycling, public transport, aesthetics, land use mix, grocery stores, food outlets and recreational facilities, were assessed using the SPOTLIGHT Virtual Audit Tool. Sedentary time was collected using ActiGraph GT3X+ accelerometers. General linear mixed models were conducted to examine associations between physical environmental neighbourhood factors and total sedentary time. Results Participants were sedentary, on average, for 542.9 min/day (SD: 84.3), or 9.1 h/day. None of the examined physical environmental neighbourhood factors were significantly related to total sedentary time. Conclusions Our findings do not support associations of objectively measured physical environmental neighbourhood factors with adults’ objectively sedentary time in Dutch and Belgian adults. More research on sedentary behaviours in settings such as the home and work setting is needed to examine the influence of more specific physical environmental factors on these context-specific sedentary behaviours.
Collapse
|
25
|
Timmermans M, Mackenbach JD, Charreire H, Bárdos H, Compernolle S, De Bourdeaudhuij I, Oppert JM, Rutter H, McKee M, Lakerveld J. Exploring the mediating role of energy balance-related behaviours in the association between sleep duration and obesity in European adults. The SPOTLIGHT project. Prev Med 2017; 100:25-32. [PMID: 28359703 DOI: 10.1016/j.ypmed.2017.03.021] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Revised: 03/20/2017] [Accepted: 03/25/2017] [Indexed: 12/12/2022]
Abstract
Sleep restriction is a risk factor for weight gain and obesity. Few studies have formally investigated the mediating role of energy balance-related behaviours in the sleep - obesity association. The aim of this study was to explore the mediating role of physical activity, sedentary behaviours and dietary habits in the association of sleep duration with obesity in adults in five European urban regions. Data on self-reported sleep duration, energy balance-related behaviours, height and weight and other covariates were collected between February and September 2014 from participants to the SPOTLIGHT survey (N=5900, mean age 52years). Participants were recruited from 60 urban neighbourhoods in Belgium, France, Hungary, the Netherlands and the United Kingdom. Multilevel logistic regression analyses were used to assess the associations of sleep duration, energy balance-related behaviours and obesity and mediating effects were calculated using MacKinnon's product-of-coefficients method. Results indicated that a 1h increase in sleeping time was associated with a 14% lower likelihood of being obese (OR=0.86, 95%CI=0.80; 0.93). Only work-related sedentary behaviour was identified as a statistically significant mediator in the association between sleep duration and obesity for the total sample, and youngest and oldest age group. We did not find evidence for a mediating role of dietary habits and physical activities.
Collapse
Affiliation(s)
- Myrthe Timmermans
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| | - Joreintje D Mackenbach
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands.
| | - Helene 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
| | - Helga Bárdos
- Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Hungary
| | - Sofie Compernolle
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Ilse De Bourdeaudhuij
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Jean-Michel 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-Hopitaux de Paris, Paris, France
| | - Harry Rutter
- European Centre on Health of Societies in Transition, London School of Hygiene and Tropical Medicine, London, UK
| | - Martin McKee
- European Centre on Health of Societies in Transition, London School of Hygiene and Tropical Medicine, London, UK
| | - Jeroen Lakerveld
- Department of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, The Netherlands
| |
Collapse
|
26
|
Mertens L, Compernolle S, Deforche B, Mackenbach JD, Lakerveld J, Brug J, Roda C, Feuillet T, Oppert JM, Glonti K, Rutter H, Bardos H, De Bourdeaudhuij I, Van Dyck D. Built environmental correlates of cycling for transport across Europe. Health Place 2017; 44:35-42. [PMID: 28157622 DOI: 10.1016/j.healthplace.2017.01.007] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Revised: 01/10/2017] [Accepted: 01/15/2017] [Indexed: 10/20/2022]
Abstract
This cross-sectional study aimed to determine which objective built environmental factors, identified using a virtual neighbourhood audit, were associated with cycling for transport in adults living in five urban regions across Europe. The moderating role of age, gender, socio-economic status and country on these associations was also investigated. Overall, results showed that people living in neighbourhoods with a preponderance of speed limits below 30km/h, many bicycle lanes, with less traffic calming devices, more trees, more litter and many parked cars forming an obstacle on the road were more likely to cycle for transport than people living in areas with lower prevalence of these factors. Evidence was only found for seven out of 56 possible moderators of these associations. These results suggest that reducing speed limits for motorized vehicles and the provision of more bicycle lanes may be effective interventions to promote cycling in Europe.
Collapse
Affiliation(s)
- Lieze Mertens
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, B-9000 Ghent, Belgium
| | - Sofie Compernolle
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, B-9000 Ghent, Belgium
| | - Benedicte Deforche
- Department of Public Health, Faculty of Medicine and Health Sciences, Ghent University, De Pintelaan 185, 4k3, B-9000 Ghent, Belgium; Department of Human Biometry and Biomechanics, Faculty of Physical Education and Physical Therapy, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium
| | - Joreintje D Mackenbach
- Department of Epidemiology and Biostatistics, the EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands
| | - Jeroen Lakerveld
- Department of Epidemiology and Biostatistics, the EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands
| | - Johannes Brug
- Department of Epidemiology and Biostatistics, the EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands
| | - Célina Roda
- Équipe de Recherche en Épidémiologie Nutritionnelle (EREN), Université Paris 13, Centre de Recherche en Épidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, F-93017 Bobigny, France
| | - Thierry Feuillet
- Équipe de Recherche en Épidémiologie Nutritionnelle (EREN), Université Paris 13, Centre de Recherche en Épidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, F-93017 Bobigny, France
| | - Jean-Michel Oppert
- Équipe de Recherche en Épidémiologie Nutritionnelle (EREN), Université Paris 13, Centre de Recherche en Épidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, F-93017 Bobigny, France; Université Pierre et Marie Curie-Paris 6, Department of Nutrition Pitié-Salpêtrière Hospital (AP-HP), Centre for Research on Human Nutrition Ile-de-France (CRNH IdF), Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
| | - Ketevan Glonti
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - Harry Rutter
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - Helga Bardos
- Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Hungary
| | - Ilse De Bourdeaudhuij
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, B-9000 Ghent, Belgium.
| | - Delfien Van Dyck
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, B-9000 Ghent, Belgium
| |
Collapse
|
27
|
Roda C, Charreire H, Feuillet T, Mackenbach JD, Compernolle S, Glonti K, Bárdos H, Rutter H, McKee M, Brug J, De Bourdeaudhuij I, Lakerveld J, Oppert JM. Lifestyle correlates of overweight in adults: a hierarchical approach (the SPOTLIGHT project). Int J Behav Nutr Phys Act 2016; 13:114. [PMID: 27809926 PMCID: PMC5095987 DOI: 10.1186/s12966-016-0439-x] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2016] [Accepted: 10/19/2016] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND Obesity-related lifestyle behaviors usually co-exist but few studies have examined their simultaneous relation with body weight. This study aimed to identify the hierarchy of lifestyle-related behaviors associated with being overweight in adults, and to examine subgroups so identified. METHODS Data were obtained from a cross-sectional survey conducted across 60 urban neighborhoods in 5 European urban regions between February and September 2014. Data on socio-demographics, physical activity, sedentary behaviors, eating habits, smoking, alcohol consumption, and sleep duration were collected by questionnaire. Participants also reported their weight and height. A recursive partitioning tree approach (CART) was applied to identify both main correlates of overweight and lifestyle subgroups. RESULTS In 5295 adults, mean (SD) body mass index (BMI) was 25.2 (4.5) kg/m2, and 46.0 % were overweight (BMI ≥25 kg/m2). CART analysis showed that among all lifestyle-related behaviors examined, the first identified correlate was sitting time while watching television, followed by smoking status. Different combinations of lifestyle-related behaviors (prolonged daily television viewing, former smoking, short sleep, lower vegetable consumption, and lower physical activity) were associated with a higher likelihood of being overweight, revealing 10 subgroups. Members of four subgroups with overweight prevalence >50 % were mainly males, older adults, with lower education, and living in greener neighborhoods with low residential density. CONCLUSION Sedentary behavior while watching television was identified as the most important correlate of being overweight. Delineating the hierarchy of correlates provides a better understanding of lifestyle-related behavior combinations which may assist in targeting preventative strategies aimed at tackling obesity.
Collapse
Affiliation(s)
- Célina Roda
- Équipe de Recherche en Épidémiologie Nutritionnelle (EREN), Université Paris 13, Centre de Recherche en Épidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, F-93017 France
| | - Hélène Charreire
- Équipe de Recherche en Épidémiologie Nutritionnelle (EREN), Université Paris 13, Centre de Recherche en Épidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, F-93017 France
- Université Paris-Est, Lab-Urba, Créteil, France
| | - Thierry Feuillet
- Équipe de Recherche en Épidémiologie Nutritionnelle (EREN), Université Paris 13, Centre de Recherche en Épidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, F-93017 France
| | - Joreintje D. Mackenbach
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Sofie Compernolle
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Ketevan Glonti
- ECOHOST – The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - Helga Bárdos
- Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Debrecen, Hungary
| | - Harry Rutter
- ECOHOST – The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - Martin McKee
- ECOHOST – The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - Johannes Brug
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Ilse De Bourdeaudhuij
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Jeroen Lakerveld
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Jean-Michel Oppert
- Équipe de Recherche en Épidémiologie Nutritionnelle (EREN), Université Paris 13, Centre de Recherche en Épidémiologie et Statistiques, Inserm (U1153), Inra (U1125), Cnam, COMUE Sorbonne Paris Cité, Bobigny, F-93017 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
|
28
|
Compernolle S, De Cocker K, Roda C, Oppert JM, Mackenbach JD, Lakerveld J, Glonti K, Bardos H, Rutter H, Cardon G, De Bourdeaudhuij I. Physical Environmental Correlates of Domain-Specific Sedentary Behaviours across Five European Regions (the SPOTLIGHT Project). PLoS One 2016; 11:e0164812. [PMID: 27741310 PMCID: PMC5065139 DOI: 10.1371/journal.pone.0164812] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2016] [Accepted: 09/30/2016] [Indexed: 11/25/2022] Open
Abstract
Background The relation between neighbourhood environmental factors and domain-specific sedentary behaviours among adults remains unclear. This study firstly aims to examine the association of perceived and objectively measured neighbourhood safety, aesthetics, destinations and functionality with transport-related, work-related and leisure-time sedentary behaviour. Secondly, the study aims to assess whether these associations are moderated by age, gender or educational level. Methods In 60 randomly sampled neighbourhoods from 5 urban regions in Europe (Ghent and suburbs, Paris and inner suburbs, Budapest and suburbs, the Randstad, and Greater London), a virtual audit with Google Street View was performed to assess environmental characteristics. A total of 5,205 adult inhabitants of these neighbourhoods reported socio-demographic characteristics, sedentary behaviours, and neighbourhood perceptions in an online survey. Generalized linear mixed models were conducted to examine associations between physical environmental neighbourhood factors and sedentary behaviours. Interaction terms were added to test the moderating role of individual-level socio-demographic variables. Results Lower levels of leisure-time sedentary behaviour (i.e. all leisure activities except television viewing and computer use) were observed among adults who perceived greater numbers of destinations such as supermarkets, recreational facilities, or restaurants in their neighbourhood, and among adults who lived in a neighbourhood with more objectively measured aesthetic features, such as trees, water areas or public parks. Lower levels of work-related sedentary behaviour were observed among adults who perceived less aesthetic features in their neighbourhood, and among adults who lived in a neighbourhood with less objectively measured destinations. Both age, gender and educational level moderated the associations between neighbourhood environmental factors and sedentary behaviours. Conclusion Preliminary evidence was found for associations between neighbourhood environmental factors and domain-specific sedentary behaviours among adults. However, these associations varied according to objective or subjective environmental measures. More research is needed to confirm and clarify the associations.
Collapse
Affiliation(s)
- Sofie Compernolle
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Katrien De Cocker
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- Research Foundation Flanders (FWO), Brussels, Belgium
| | - Célina 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
| | - Jean-Michel 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
- Université Pierre et Marie Curie-Paris 6, Department of Nutrition Pitié-Salpêtrière Hospital (AP-HP), Centre for Research on Human Nutrition Ile-de-France (CRNH IdF), Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
| | - Joreintje D. Mackenbach
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU Medical Center, Amsterdam, the Netherlands
| | - Jeroen Lakerveld
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU Medical Center, Amsterdam, the Netherlands
| | - Ketevan Glonti
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Helga Bardos
- Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Debrecen, Hungary
| | - Harry Rutter
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, United Kingdom
| | - Greet Cardon
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Ilse De Bourdeaudhuij
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
- * E-mail:
| | | |
Collapse
|
29
|
Compernolle S, De Cocker K, Teixeira PJ, Oppert JM, Roda C, Mackenbach JD, Lakerveld J, McKee M, Glonti K, Rutter H, Bardos H, Cardon G, De Bourdeaudhuij I. The associations between domain-specific sedentary behaviours and dietary habits in European adults: a cross-sectional analysis of the SPOTLIGHT survey. BMC Public Health 2016; 16:1057. [PMID: 27716151 PMCID: PMC5052975 DOI: 10.1186/s12889-016-3708-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2016] [Accepted: 09/23/2016] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Sedentary behaviour has been associated with obesity and related chronic diseases. Disentangling the nature of this association is complicated due to interactions with other lifestyle factors, such as dietary habits, yet limited research has investigated the relation between domain-specific sedentary behaviours and dietary habits in adults. The aim of this paper was to examine the association between domain-specific sedentary behaviours and dietary habits in adults and to test the moderating effect of age and gender on this association. METHODS A total of 6,037 participants from five urban regions in Europe completed an online survey, of which 6,001 were included in the analyses. Multilevel mixed-effects logistic regression analyses were used to examine main associations and interaction effects. RESULTS All domain-specific sedentary behaviours, except transport-related sitting time, were significantly related to dietary habits. In general, having a higher sitting time was related to having less healthy dietary habits, especially for television viewing. Gender did not moderate any of the relations, and age was only a significant moderator in the relation between other leisure sitting time and alcohol consumption. CONCLUSION Domain-specific sitting behaviours were related to unhealthy dietary behaviours. However, the small effect sizes suggest that individual level behavioural interventions focusing on sedentary behaviour will not be sufficient to improve dietary habits. The fact that almost none of the associations were moderated by age or gender suggests that these associations, and possibly also the effects of interventions targeting both behaviours, may hold across age and gender groups.
Collapse
Affiliation(s)
- Sofie Compernolle
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, Ghent, B-9000 Belgium
| | - Katrien De Cocker
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, Ghent, B-9000 Belgium
- Research Foundation Flanders (FWO), Brussels, Belgium
| | - Pedro J. Teixeira
- Interdisciplinary Center for the Study of Human Performance, Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal
| | - Jean-Michel 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, F-93017 Bobigny, France
- Department of Nutrition Pitié-Salpêtrière Hospital (AP-HP), Centre for Research on Human Nutrition Ile-de-France (CRNH IdF), Institute of Cardiometabolism and Nutrition (ICAN), Université Pierre et Marie Curie-Paris 6, Paris, France
| | - Célina 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, F-93017 Bobigny, France
| | - Joreintje D. Mackenbach
- Department of Epidemiology & Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Jeroen Lakerveld
- Department of Epidemiology & Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Martin McKee
- ECOHOST-The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - Ketevan Glonti
- ECOHOST-The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - Harry Rutter
- ECOHOST-The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - Helga Bardos
- Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Debrecen, Hungary
| | - Greet Cardon
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, Ghent, B-9000 Belgium
| | - Ilse De Bourdeaudhuij
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, Ghent, B-9000 Belgium
| | - on behalf of the WP3 SPOTLIGHT group
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Watersportlaan 2, Ghent, B-9000 Belgium
- Research Foundation Flanders (FWO), Brussels, Belgium
- Interdisciplinary Center for the Study of Human Performance, Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal
- 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, F-93017 Bobigny, France
- Department of Nutrition Pitié-Salpêtrière Hospital (AP-HP), Centre for Research on Human Nutrition Ile-de-France (CRNH IdF), Institute of Cardiometabolism and Nutrition (ICAN), Université Pierre et Marie Curie-Paris 6, Paris, France
- Department of Epidemiology & Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
- ECOHOST-The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
- Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Debrecen, Hungary
| |
Collapse
|
30
|
Compernolle S, Oppert JM, Mackenbach JD, Lakerveld J, Charreire H, Glonti K, Bardos H, Rutter H, De Cocker K, Cardon G, De Bourdeaudhuij I. Mediating role of energy-balance related behaviors in the association of neighborhood socio-economic status and residential area density with BMI: The SPOTLIGHT study. Prev Med 2016; 86:84-91. [PMID: 26794046 DOI: 10.1016/j.ypmed.2016.01.005] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/10/2015] [Revised: 12/25/2015] [Accepted: 01/03/2016] [Indexed: 11/25/2022]
Abstract
OBJECTIVES This study aimed to examine the mediating effects of energy-balance related behaviors on the association of neighborhood socio-economic status (SES) and neighborhood residential area density (RAD) with body mass index (BMI). METHODS In total, 6037 adults from four neighborhood types (high SES/high RAD, high SES/low RAD, low SES/high RAD, and low SES/low RAD) in five Mid-European urban regions completed an online survey asking about their energy-balance related behaviors (physical activity [PA], sedentary behavior, and dietary behavior), determinants of these behaviors and their body weight and height. MacKinnon's product-of-coefficients test was used to assess mediating effects. RESULTS Transport-related PA, leisure-time PA and vegetable intake seemed to mediate the association between neighborhood type and BMI. Residents from low SES/low RAD neighborhoods reported less transport-related PA, less leisure-time PA and less vegetable intake than high SES/high RAD residents, and these behaviors (i.e. transport-related PA, leisure-time PA and vegetable intake) were related to having a higher BMI. CONCLUSION The association between neighborhood type and BMI can be explained, at least in part, by energy-balance related behaviors.
Collapse
Affiliation(s)
- Sofie Compernolle
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Jean-Michel Oppert
- Université Paris 13, Sorbonne Paris Cité - EREN (Equipe de Recherche en Epidémiologie, Nutritionnelle), U1153 INSERM, INRA, CNAM, Centre de Recherche en Epidémiologie et, Biostatistiques, CRNH IdF, Bobigny, France; Université Pierre et Marie Curie, Institut cardiométabolisme et nutrition, service de nutrition, hôpital Piitie-Salpêtrière (AP-HP), France
| | - Joreintje D Mackenbach
- Department of Epidemiology & Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands
| | - Jeroen Lakerveld
- Department of Epidemiology & Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands
| | - Helene Charreire
- Université Paris 13, Sorbonne Paris Cité - EREN (Equipe de Recherche en Epidémiologie, Nutritionnelle), U1153 INSERM, INRA, CNAM, Centre de Recherche en Epidémiologie et, Biostatistiques, CRNH IdF, Bobigny, France; Université Pierre et Marie Curie, Institut cardiométabolisme et nutrition, service de nutrition, hôpital Piitie-Salpêtrière (AP-HP), France; Paris Est University, Lab-Urba Urban Institute of Paris, UPEC, Créteil, France
| | - Ketevan Glonti
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - Helga Bardos
- Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Hungary
| | - Harry Rutter
- ECOHOST - The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - Katrien De Cocker
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium; Research Foundation Flanders (FWO), Brussels, Belgium
| | - Greet Cardon
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Ilse De Bourdeaudhuij
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
| | | |
Collapse
|
31
|
Seto E, Hua J, Wu L, Shia V, Eom S, Wang M, Li Y. Models of Individual Dietary Behavior Based on Smartphone Data: The Influence of Routine, Physical Activity, Emotion, and Food Environment. PLoS One 2016; 11:e0153085. [PMID: 27049852 PMCID: PMC4822823 DOI: 10.1371/journal.pone.0153085] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2015] [Accepted: 03/23/2016] [Indexed: 12/02/2022] Open
Abstract
INTRODUCTION Smartphone applications (apps) facilitate the collection of data on multiple aspects of behavior that are useful for characterizing baseline patterns and for monitoring progress in interventions aimed at promoting healthier lifestyles. Individual-based models can be used to examine whether behavior, such as diet, corresponds to certain typological patterns. The objectives of this paper are to demonstrate individual-based modeling methods relevant to a person's eating behavior, and the value of such approach compared to typical regression models. METHOD Using a mobile app, 2 weeks of physical activity and ecological momentary assessment (EMA) data, and 6 days of diet data were collected from 12 university students recruited from a university in Kunming, a rapidly developing city in southwest China. Phone GPS data were collected for the entire 2-week period, from which exposure to various food environments along each subject's activity space was determined. Physical activity was measured using phone accelerometry. Mobile phone EMA was used to assess self-reported emotion/feelings. The portion size of meals and food groups was determined from voice-annotated videos of meals. Individual-based regression models were used to characterize subjects as following one of 4 diet typologies: those with a routine portion sizes determined by time of day, those with portion sizes that balance physical activity (energy balance), those with portion sizes influenced by emotion, and those with portion sizes associated with food environments. RESULTS Ample compliance with the phone-based behavioral assessment was observed for all participants. Across all individuals, 868 consumed food items were recorded, with fruits, grains and dairy foods dominating the portion sizes. On average, 218 hours of accelerometry and 35 EMA responses were recorded for each participant. For some subjects, the routine model was able to explain up to 47% of the variation in portion sizes, and the energy balance model was able to explain over 88% of the variation in portion sizes. Across all our subjects, the food environment was an important predictor of eating patterns. Generally, grouping all subjects into a pooled model performed worse than modeling each individual separately. CONCLUSION A typological modeling approach was useful in understanding individual dietary behaviors in our cohort. This approach may be applicable to the study of other human behaviors, particularly those that collect repeated measures on individuals, and those involving smartphone-based behavioral measurement.
Collapse
Affiliation(s)
- Edmund Seto
- Environmental & Occupational Health Sciences, School of Public Health, University of Washington, Seattle, Washington, United States of America
| | - Jenna Hua
- Environmental Health Sciences, School of Public Health, University of California, Berkeley, California, United States of America
| | - Lemuel Wu
- Electrical Engineering and Computer Science, School of Engineering, University of California, Berkeley, California, United States of America
| | - Victor Shia
- Electrical Engineering and Computer Science, School of Engineering, University of California, Berkeley, California, United States of America
| | - Sue Eom
- Public Health Nutrition, School of Public Health, Seoul National University, Seoul, South Korea
| | - May Wang
- Community Health Sciences, Fielding School of Public Health, University of California Los Angeles, Los Angeles, California, United States of America
| | - Yan Li
- Maternal and Child Health, School of Public Health, Kunming Medical University, Kunming, China
| |
Collapse
|
32
|
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] [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
|
33
|
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] [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
|
34
|
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] [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
|
35
|
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] [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
|
36
|
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] [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
|
37
|
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] [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
|
38
|
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] [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
|
39
|
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: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [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
|
40
|
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] [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
|
41
|
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] [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
|
42
|
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] [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
|
43
|
Winckers ANE, Mackenbach JD, Compernolle S, Nicolaou M, van der Ploeg HP, De Bourdeaudhuij I, Brug J, Lakerveld J. Educational differences in the validity of self-reported physical activity. BMC Public Health 2015; 15:1299. [PMID: 26856811 PMCID: PMC4746888 DOI: 10.1186/s12889-015-2656-7] [Citation(s) in RCA: 41] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2015] [Accepted: 12/19/2015] [Indexed: 12/02/2022] Open
Abstract
Background The assessment of physical activity for surveillance or population based studies is usually done with self-report questionnaires. However, bias in self-reported physical activity may be greater in lower educated than in higher educated populations. The aim of the present study is to describe educational differences in the validity of self-reported physical activity. Methods We included 196 healthy adults (age 57 ± 15.4, of whom 17 % low, 24 % medium and 59 % high educated). Criterion validity of an adapted International Physical Activity Questionnaire was assessed against the ActiGraph GT3X+ accelerometer. Results While criterion validity of self-reported physical activity was low to moderate in the total sample (Spearman rho ranged from 0.16 to 0.27, depending on the variables used), the validity in lower educated respondents was poor (-0.07 to 0.05). Conclusions The results confirm the hypothesis that self-report physical activity questionnaires are less valid in lower educated populations.
Collapse
Affiliation(s)
- Annemarie N E Winckers
- Department of Epidemiology and Biostatics, EMGO Institute for Health and Care Research, VU University Medical Center Amsterdam, De Boelelaan 1089a, 1081, HV, Amsterdam, The Netherlands.
| | - Joreintje D Mackenbach
- Department of Epidemiology and Biostatics, EMGO Institute for Health and Care Research, VU University Medical Center Amsterdam, De Boelelaan 1089a, 1081, HV, Amsterdam, The Netherlands.
| | - Sofie Compernolle
- Department of Movement and Sport Sciences, Ghent University, Ghent, Belgium.
| | - Mary Nicolaou
- Department of Public Health, Academic Medical Centre, University of Amsterdam, Amsterdam, The Netherlands.
| | - Hidde P van der Ploeg
- Department of Public and Occupational Health, EMGO Institute for Health and Care Research, VU University Medical Center Amsterdam, Amsterdam, The Netherlands.
| | | | - Johannes Brug
- Department of Epidemiology and Biostatics, EMGO Institute for Health and Care Research, VU University Medical Center Amsterdam, De Boelelaan 1089a, 1081, HV, Amsterdam, The Netherlands.
| | - Jeroen Lakerveld
- Department of Epidemiology and Biostatics, EMGO Institute for Health and Care Research, VU University Medical Center Amsterdam, De Boelelaan 1089a, 1081, HV, Amsterdam, The Netherlands.
| |
Collapse
|
44
|
Lakerveld J, Ben Rebah M, Mackenbach JD, Charreire H, Compernolle S, Glonti K, Bardos H, Rutter H, De Bourdeaudhuij I, Brug J, Oppert JM. Obesity-related behaviours and BMI in five urban regions across Europe: sampling design and results from the SPOTLIGHT cross-sectional survey. BMJ Open 2015; 5:e008505. [PMID: 26507356 PMCID: PMC4636646 DOI: 10.1136/bmjopen-2015-008505] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
OBJECTIVES To describe the design, methods and first results of a survey on obesity-related behaviours and body mass index (BMI) in adults living in neighbourhoods from five urban regions across Europe. DESIGN A cross-sectional observational study in the framework of an European Union-funded project on obesogenic environments (SPOTLIGHT). SETTING 60 urban neighbourhoods (12 per country) were randomly selected in large urban zones in Belgium, France, Hungary, the Netherlands and the UK, based on high or low values for median household income (socioeconomic status, SES) and residential area density. PARTICIPANTS A total of 6037 adults (mean age 52 years, 56% female) participated in the online survey. OUTCOME MEASURES Self-reported physical activity, sedentary behaviours, dietary habits and BMI. Other measures included general health; barriers and motivations for a healthy lifestyle, perceived social and physical environmental characteristics; the availability of transport modes and their use to specific destinations; self-defined neighbourhood boundaries and items related to residential selection. RESULTS Across five countries, residents from low-SES neighbourhoods ate less fruit and vegetables, drank more sugary drinks and had a consistently higher BMI. SES differences in sedentary behaviours were observed in France, with residents from higher SES neighbourhoods reporting to sit more. Residents from low-density neighbourhoods were less physically active than those from high-density neighbourhoods; during leisure time and (most pronounced) for transport (except for Belgium). BMI differences by residential density were inconsistent across all countries. CONCLUSIONS The SPOTLIGHT survey provides an original approach for investigating relations between environmental characteristics, obesity-related behaviours and obesity in Europe. First descriptive results indicate considerable differences in health behaviours and BMI between countries and neighbourhood types.
Collapse
Affiliation(s)
- Jeroen Lakerveld
- Department of Epidemiology & Biostatistics and the EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Maher Ben Rebah
- 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
| | - Joreintje D Mackenbach
- Department of Epidemiology & Biostatistics and the EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Hélène 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 Institut of Paris, Créteil, France
| | - Sofie Compernolle
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Ketevan Glonti
- ECOHOST—The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - Helga Bardos
- Department of Preventive Medicine, Faculty of Public Health, University of Debrecen, Debrecen, Hungary
| | - Harry Rutter
- ECOHOST—The Centre for Health and Social Change, London School of Hygiene and Tropical Medicine, London, UK
| | - Ilse De Bourdeaudhuij
- Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium
| | - Johannes Brug
- Department of Epidemiology & Biostatistics and the EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, The Netherlands
| | - Jean-Michel 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), Université Pierre et Marie Curie-Paris 6, Centre for Research on Human Nutrition Ile-de-France (CRNH IdF), Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
| |
Collapse
|
45
|
Côté-Lussier C, Fitzpatrick C, Séguin L, Barnett TA. Poor, Unsafe, and Overweight: The Role of Feeling Unsafe at School in Mediating the Association Among Poverty Exposure, Youth Screen Time, Physical Activity, and Weight Status. Am J Epidemiol 2015; 182:67-79. [PMID: 25921649 DOI: 10.1093/aje/kwv005] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2014] [Accepted: 01/08/2015] [Indexed: 01/19/2023] Open
Abstract
This study applied socioecological and cumulative risk exposure frameworks to test the hypotheses that 1) the experience of poverty is associated with feeling less safe at school, and 2) feeling less safe is associated with engaging in poorer weight-related behaviors, as well as an increased probability of being overweight or obese. Data were from the ongoing Québec Longitudinal Study of Child Development, initiated in 1998 with a population-based cohort of 2,120 Québec (Canada) infants 5 months of age and their parent or primary caregiver. Measures of youths' (age, 13 years) self-reported feelings of safety, screen time, physical activity, and objectively assessed not overweight/obese (70%), overweight (22%), and obese (8%) weight status were collected in 2011. Family poverty trajectory from birth was assessed by using latent growth modeling. As hypothesized, exposure to poverty was associated with feeling less safe at school and, in turn, with an increased probability of being overweight or obese. The association was most pronounced for youths who experienced chronic poverty. Compared with youths who experienced no poverty and felt unsafe, those who experienced chronic poverty and felt unsafe were nearly 18% more likely to be obese (9.2% vs. 11.2%). Although feeling unsafe was associated with screen time, screen time did not predict weight status.
Collapse
|
46
|
Sartorius B, Veerman LJ, Manyema M, Chola L, Hofman K. Determinants of Obesity and Associated Population Attributability, South Africa: Empirical Evidence from a National Panel Survey, 2008-2012. PLoS One 2015; 10:e0130218. [PMID: 26061419 PMCID: PMC4463861 DOI: 10.1371/journal.pone.0130218] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2014] [Accepted: 05/17/2015] [Indexed: 01/27/2023] Open
Abstract
Background Obesity is a major risk factor for emerging non-communicable diseases (NCDS) in middle income countries including South Africa (SA). Understanding the multiple and complex determinants of obesity and their true population attributable impact is critical for informing and developing effective prevention efforts using scientific based evidence. This study identified contextualised high impact factors associated with obesity in South Africa. Methods Analysis of three national cross sectional (repeated panel) surveys, using a multilevel logistic regression and population attributable fraction estimation allowed for identification of contextualised high impact factors associated with obesity (BMI>30 kg/m2) among adults (15years+). Results Obesity prevalence increased significantly from 23.5% in 2008 to 27.2% in 2012, with a significantly (p-value<0.001) higher prevalence among females (37.9% in 2012) compared to males (13.3% in 2012). Living in formal urban areas, white ethnicity, being married, not exercising and/or in higher socio-economic category were significantly associated with male obesity. Females living in formal or informal urban areas, higher crime areas, African/White ethnicity, married, not exercising, in a higher socio-economic category and/or living in households with proportionate higher spending on food (and unhealthy food options) were significantly more likely to be obese. The identified determinants appeared to account for 75% and 43% of male and female obesity respectively. White males had the highest relative gain in obesity from 2008 to 2012. Conclusions The rising prevalence of obesity in South Africa is significant and over the past 5 years the rising prevalence of Type-2 diabetes has mirrored this pattern, especially among females. Targeting young adolescent girls should be a priority. Addressing determinants of obesity will involve a multifaceted strategy and requires at individual and population levels. With rising costs in the private and public sector to combat obesity related NCDS, this analysis can inform culturally sensitive mass communications and wellness campaigns. Knowledge of social determinants is critical to develop “best buys”.
Collapse
Affiliation(s)
- Benn Sartorius
- Discipline of Public Health Medicine, School of Nursing and Public Health, University of KwaZulu-Natal, Durban, South Africa
| | - Lennert J. Veerman
- School of Population Health, University of Queensland, Brisbane, QLD, Australia
| | - Mercy Manyema
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- PRICELESS SA, MRC/Wits Rural Public, Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Lumbwe Chola
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- PRICELESS SA, MRC/Wits Rural Public, Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Karen Hofman
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- PRICELESS SA, MRC/Wits Rural Public, Health and Health Transitions Research Unit, School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
- John Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, United States of America
- * E-mail:
| |
Collapse
|
47
|
Teixeira PJ, Carraça EV, Marques MM, Rutter H, Oppert JM, De Bourdeaudhuij I, Lakerveld J, Brug J. Successful behavior change in obesity interventions in adults: a systematic review of self-regulation mediators. BMC Med 2015; 13:84. [PMID: 25907778 PMCID: PMC4408562 DOI: 10.1186/s12916-015-0323-6] [Citation(s) in RCA: 373] [Impact Index Per Article: 41.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2014] [Accepted: 03/11/2015] [Indexed: 01/21/2023] Open
Abstract
BACKGROUND Relapse is high in lifestyle obesity interventions involving behavior and weight change. Identifying mediators of successful outcomes in these interventions is critical to improve effectiveness and to guide approaches to obesity treatment, including resource allocation. This article reviews the most consistent self-regulation mediators of medium- and long-term weight control, physical activity, and dietary intake in clinical and community behavior change interventions targeting overweight/obese adults. METHODS A comprehensive search of peer-reviewed articles, published since 2000, was conducted on electronic databases (for example, MEDLINE) and journal reference lists. Experimental studies were eligible if they reported intervention effects on hypothesized mediators (self-regulatory and psychological mechanisms) and the association between these and the outcomes of interest (weight change, physical activity, and dietary intake). Quality and content of selected studies were analyzed and findings summarized. Studies with formal mediation analyses were reported separately. RESULTS Thirty-five studies were included testing 42 putative mediators. Ten studies used formal mediation analyses. Twenty-eight studies were randomized controlled trials, mainly aiming at weight loss or maintenance (n = 21). Targeted participants were obese (n = 26) or overweight individuals, aged between 25 to 44 years (n = 23), and 13 studies targeted women only. In terms of study quality, 13 trials were rated as "strong", 15 as "moderate", and 7 studies as "weak". In addition, methodological quality of formal mediation analyses was "medium". Identified mediators for medium-/long-term weight control were higher levels of autonomous motivation, self-efficacy/barriers, self-regulation skills (such as self-monitoring), flexible eating restraint, and positive body image. For physical activity, significant putative mediators were high autonomous motivation, self-efficacy, and use of self-regulation skills. For dietary intake, the evidence was much less clear, and no consistent mediators were identified. CONCLUSIONS This is the first systematic review of mediational psychological mechanisms of successful outcomes in obesity-related lifestyle change interventions. Despite limited evidence, higher autonomous motivation, self-efficacy, and self-regulation skills emerged as the best predictors of beneficial weight and physical activity outcomes; for weight control, positive body image and flexible eating restraint may additionally improve outcomes. These variables represent possible targets for future lifestyle interventions in overweight/obese populations.
Collapse
Affiliation(s)
- Pedro J Teixeira
- Interdisciplinary Centre for the Study of Human Performance (CIPER), Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal.
| | - Eliana V Carraça
- Interdisciplinary Centre for the Study of Human Performance (CIPER), Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal.
| | - Marta M Marques
- Interdisciplinary Centre for the Study of Human Performance (CIPER), Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal.
| | - Harry Rutter
- European Centre on Health of Societies in Transition, London School of Hygiene and Tropical Medicine, London, UK.
| | - Jean-Michel Oppert
- Department of Nutrition Pitié-Salpetrière (AP-HP), Université Pierre et Marie Curie-Paris 6, Paris, France.
- UREN (Nutritional Epidemiology Research Unit), Université Paris 13, Sorbonne Paris Cité, Inserm (U557), Inra (U1125), Cnam, F-93017, Bobigny, France.
| | | | - Jeroen Lakerveld
- Department of General Practice and Elderly Care, The EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands.
| | - Johannes Brug
- Department of Epidemiology and Biostatistics, The EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands.
| |
Collapse
|
48
|
The assessment of ongoing community-based interventions to prevent obesity: lessons learned. BMC Public Health 2015; 15:216. [PMID: 25884450 PMCID: PMC4351935 DOI: 10.1186/s12889-015-1563-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2014] [Accepted: 02/17/2015] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The assessment of real-life, community-based interventions to tackle obesity is an important step in the development of effective policies. Especially multi-level interventions have a high likely effectiveness and potential reach in counteracting the obesity epidemic. Although much can be learned from these initiatives, performing an evaluation of such interventions is challenging. The aim of the current article is to provide a descriptive overview of the data collection process and general results of an assessment of ongoing multi-level obesity prevention community interventions for adults in Europe, and the lessons learned from this effort. METHODS The data collection was divided into two main phases: a) finding the ongoing obesity prevention interventions by contacting key informants in each of the European Union countries and the European Economic Area, and searching existing databases; and b) collecting detailed information (including the reach, effectiveness, adoption, implementation and maintenance (RE-AIM)) of the selected interventions using questionnaires for informants in each of the interventions. RESULTS A total of 78 interventions from 24 European countries were included in the final sample. The number of identified interventions varied greatly per country. The interventions covered various implementation levels (national, regional or local) and determinants (physical, sociocultural, economic, political), mostly addressing both nutrition and physical activity behaviours. CONCLUSIONS We found that many multi-level obesity prevention interventions among adults are currently active in Europe, although we found relatively few in Southern and Eastern Europe. Identifying interventions and obtaining detailed information proved to be a difficult, time consuming and painstaking process. We discuss some of the reasons why this might be the case and present recommendations based on our experiences. We suggest that future research uses a step-wise approach, keeping participant burden to a minimum. The use of personalised and tailored strategies is recommended, led by researchers who exercise flexibility, tact and patience during the data collection process.
Collapse
|
49
|
Bethlehem JR, Mackenbach JD, Ben-Rebah M, Compernolle S, Glonti K, Bárdos H, Rutter HR, Charreire H, Oppert JM, Brug J, Lakerveld J. The SPOTLIGHT virtual audit tool: a valid and reliable tool to assess obesogenic characteristics of the built environment. Int J Health Geogr 2014; 13:52. [PMID: 25515179 PMCID: PMC4279584 DOI: 10.1186/1476-072x-13-52] [Citation(s) in RCA: 74] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2014] [Accepted: 12/08/2014] [Indexed: 12/05/2022] Open
Abstract
Background A lack of physical activity and overconsumption of energy dense food is associated with overweight and obesity. The neighbourhood environment may stimulate or hinder the development and/or maintenance of a healthy lifestyle. To improve research on the obesogenicity of neighbourhood environments, reliable, valid and convenient assessment methods of potential obesogenic characteristics of neighbourhood environments are needed. This study examines the reliability and validity of the SPOTLIGHT-Virtual Audit Tool (S-VAT), which uses remote sensing techniques (Street View feature in Google Earth) for desk-based assessment of environmental obesogenicity. Methods A total of 128 street segments in four Dutch urban neighbourhoods – heterogeneous in socio-economic status and residential density – were assessed using the S-VAT. Environmental characteristics were categorised as walking related items, cycling related items, public transport, aesthetics, land use-mix, grocery stores, food outlets and physical activity facilities. To assess concordance of inter- and intra-observer reliability of the Street View feature in Google Earth, and validity scores with real life audits, percentage agreement and Cohen's Kappa (k) were calculated. Results Intra-observer reliability was high and ranged from 91.7% agreement (k = 0.654) to 100% agreement (k = 1.000) with an overall agreement of 96.4% (k = 0.848). Inter-observer reliability results ranged from substantial agreement 78.6% (k = 0.440) to high agreement, 99.2% (k = 0.579), with an overall agreement of 91.5% (k = 0.595). Criterion validity was substantial to high for most of the categories ranging from 87.3% agreement (k = 0.539) to 99.9% agreement (k = 0.887) with an overall score of 95.6% agreement (k = 0.747). Conclusion These study results suggest that the S-VAT is a highly reliable and valid remote sensing tool to assess potential obesogenic environmental characteristics. Electronic supplementary material The online version of this article (doi:10.1186/1476-072X-13-52) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- John R Bethlehem
- Department of Epidemiology and Biostatistics, EMGO Institute for Health and Care Research, VU University Medical Center, Amsterdam, the Netherlands.
| | | | | | | | | | | | | | | | | | | | | |
Collapse
|
50
|
Compernolle S, De Cocker K, Lakerveld J, Mackenbach JD, Nijpels G, Oppert JM, Rutter H, Teixeira PJ, Cardon G, De Bourdeaudhuij I. A RE-AIM evaluation of evidence-based multi-level interventions to improve obesity-related behaviours in adults: a systematic review (the SPOTLIGHT project). Int J Behav Nutr Phys Act 2014; 11:147. [PMID: 25480391 PMCID: PMC4266878 DOI: 10.1186/s12966-014-0147-3] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2013] [Accepted: 11/17/2014] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND This systematic literature review describes the potential public health impact of evidence-based multi-level interventions to improve obesity-related behaviours in adults, using the Reach, Efficacy, Adoption, Implementation and Maintenance (RE-AIM) framework. METHODS Electronic databases (PubMed, Embase, and The Cochrane Library) were searched to identify intervention studies published between January 2000 and October 2013. The following inclusion criteria were used: (1) the study included at least one outcome measure assessing obesity-related behaviours (i.e. diet, physical activity or sedentary behaviour), (2) the study collected data over at least one year and (3) the study's intervention targeted adults, was conducted in a specified geographical area or worksite, and was multi-level (i.e. targeting both individual and environmental level). Evidence of RE-AIM of the selected interventions was assessed. Potential public health impact of an intervention was evaluated if information was provided on at least four of the five RE-AIM dimensions. RESULTS Thirty-five multi-level interventions met the inclusion criteria. RE-AIM evaluation revealed that the included interventions generally had the potential to: reach a large number of people (on average 58% of the target population was aware of the intervention); achieve the assumed goals (89% found positive outcomes); be broadly adopted (the proportion of intervention deliverers varied from 9% to 92%) and be sustained (sixteen interventions were maintained). The highest potential public health impact was found in multi-level interventions that: 1) focused on all levels at the beginning of the planning process, 2) guided the implementation process using diffusion theory, and 3) used a website to disseminate the intervention. CONCLUSIONS Although most studies underreported results within the RE-AIM dimensions, the reported Reach, Effectiveness, Adoption, Implementation and Maintenance were positively evaluated. However, more information on external validity and sustainability is needed in order to take informed decisions on the choice of interventions that should be implemented in real-world settings to accomplish long-term changes in obesity-related behaviours.
Collapse
Affiliation(s)
- Sofie Compernolle
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
| | - Katrien De Cocker
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium. .,Research Foundation Flanders (FWO), B-1000, Ghent, Belgium.
| | - Jeroen Lakerveld
- The EMGO Institute for Health and Care Research, Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands.
| | - Joreintje D Mackenbach
- The EMGO Institute for Health and Care Research, Department of Epidemiology and Biostatistics, VU University Medical Center, Amsterdam, The Netherlands.
| | - Giel Nijpels
- The EMGO Institute for Health and Care Research, Department of General Practice and Elderly Care Medicine, VU University Medical Center, Amsterdam, The Netherlands.
| | - Jean-Michel Oppert
- Université Paris 13, Sorbonne Paris Cité - UREN (Unité de Recherche en Epidémiologie Nutritionnelle), U557 Inserm; U1125 Inra; Cnam, Centre for Research on Human Nutrition Ile-de-France (CRNH IdF), Bobigny, France. .,Université Pierre et Marie Curie-Paris 6, Department of Nutrition Pitié-Salpêtrière Hospital (AP-HP), (CRNH IdF), Institute of Cardiometabolism and Nutrition (ICAN), Paris, France.
| | - Harry Rutter
- European Centre on Health of Societies in Transition, London School of Hygiene and Tropical Medicine, London, UK.
| | - Pedro J Teixeira
- Interdisciplinary Center for the Study of Human Performance, Faculty of Human Kinetics, University of Lisbon, Lisbon, Portugal.
| | - Greet Cardon
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
| | - Ilse De Bourdeaudhuij
- Department of Movement and Sport Sciences, Faculty of Medicine and Health Sciences, Ghent University, Ghent, Belgium.
| |
Collapse
|