Associations between neighbourhood walkability and daily steps in adults: a systematic review and meta-analysis

BackgroundHigher street connectivity, land use mix and residential density (collectively referred to as neighbourhood walkability) have been linked to higher levels of walking. The objective of our study was to summarize the current body of knowledge on the association between neighbourhood walkability and biosensor-assessed daily steps in adults.MethodsWe conducted a systematic search of PubMed, SCOPUS, and Embase (Ovid) for articles published prior to May 2014 on the association between walkability (based on Geographic Information Systems-derived street connectivity, land use mix, and/or residential density) and daily steps (pedometer or accelerometer-assessed) in adults. The mean differences in daily steps between adults living in high versus low walkable neighbourhoods were pooled across studies using a Bayesian hierarchical model.ResultsThe search strategy yielded 8,744 unique abstracts. Thirty of these underwent full article review of which six met the inclusion criteria. Four of these studies were conducted in Europe and two were conducted in Asia. A meta-analysis of four of these six studies indicates that participants living in high compared to low walkable neighbourhoods accumulate 766 more steps per day (95 % credible interval 250, 1271). This accounts for approximately 8 % of recommended daily steps.ConclusionsThe results of European and Asian studies support the hypothesis that higher neighbourhood walkability is associated with higher levels of biosensor-assessed walking in adults. More studies on this association are needed in North America.

[1]  J. Mitáš,et al.  The Influence of Built Environment on Walkability Using Geographic Information System , 2010 .

[2]  G. Cardon,et al.  The effect of pedometer use in combination with cognitive and behavioral support materials to promote physical activity. , 2008, Patient education and counseling.

[3]  I. Strachan,et al.  Daily steps are low year-round and dip lower in fall/winter: findings from a longitudinal diabetes cohort , 2010, Cardiovascular diabetology.

[4]  Minsoo Kang,et al.  Validity and reliability of Omron pedometers for prescribed and self-paced walking. , 2009, Medicine and science in sports and exercise.

[5]  P. Harmer,et al.  Built environment and 1-year change in weight and waist circumference in middle-aged and older adults: Portland Neighborhood Environment and Health Study. , 2008, American journal of epidemiology.

[6]  H. Gilmour,et al.  Physically active Canadians. , 2007, Health reports.

[7]  R. Davey,et al.  Neighborhood environments and objectively measured physical activity in 11 countries. , 2014, Medicine and science in sports and exercise.

[8]  D. Bassett,et al.  Pedometer measures of free-living physical activity: comparison of 13 models. , 2004, Medicine and science in sports and exercise.

[9]  Anthony S Leicht,et al.  Influence of non-level walking on pedometer accuracy. , 2009, Journal of science and medicine in sport.

[10]  P. Tuckel,et al.  Walk Score(TM), Perceived Neighborhood Walkability, and walking in the US. , 2015, American journal of health behavior.

[11]  C. Tudor-Locke,et al.  Pedometer-determined ambulatory activity in individuals with type 2 diabetes. , 2002, Diabetes research and clinical practice.

[12]  B. Saelens,et al.  Built environment correlates of walking: a review. , 2008, Medicine and science in sports and exercise.

[13]  D. Finegood The importance of systems thinking to address obesity. , 2012, Nestle Nutrition Institute workshop series.

[14]  Barbara E. Ainsworth,et al.  A Preliminary study of one year of pedometer self-monitoring , 2004, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[15]  Reid Ewing,et al.  Travel and the Built Environment , 2010 .

[16]  Catrine Tudor-Locke,et al.  How Many Steps/Day Are Enough? Preliminary Pedometer Indices for Public Health , 2004 .

[17]  Boyd Swinburn,et al.  Patchy progress on obesity prevention: emerging examples, entrenched barriers, and new thinking , 2015, The Lancet.

[18]  A. Bauman,et al.  Walkability of local communities: using geographic information systems to objectively assess relevant environmental attributes. , 2007, Health & place.

[19]  Martin A. Andresen,et al.  Obesity relationships with community design, physical activity, and time spent in cars. , 2004, American journal of preventive medicine.

[20]  Scott E Crouter,et al.  Accuracy and reliability of 10 pedometers for measuring steps over a 400-m walk. , 2003, Medicine and science in sports and exercise.

[21]  R. Cervero,et al.  TRAVEL DEMAND AND THE 3DS: DENSITY, DIVERSITY, AND DESIGN , 1997 .

[22]  S. Blair,et al.  The utility of the Digi-walker step counter to assess daily physical activity patterns. , 2000, Medicine and science in sports and exercise.

[23]  Saurabh Rahurkar,et al.  The relationship between built environments and physical activity: a systematic review. , 2012, American journal of public health.

[24]  Greet Cardon,et al.  Neighbourhood walkability and its particular importance for adults with a preference for passive transport. , 2009, Health & place.

[25]  John C. Spence,et al.  Toward a comprehensive model of physical activity , 2003 .

[26]  Scott E Crouter,et al.  Validity of 10 electronic pedometers for measuring steps, distance, and energy cost. , 2003, Medicine and science in sports and exercise.

[27]  W. Kraus,et al.  Association between change in daily ambulatory activity and cardiovascular events in people with impaired glucose tolerance (NAVIGATOR trial): a cohort analysis , 2014, The Lancet.

[28]  M. Martins,et al.  Interventions to increase physical activity in middle-age women at the workplace: a randomized controlled trial. , 2014, Medicine and science in sports and exercise.

[29]  T J Pikora,et al.  An update of recent evidence of the relationship between objective and self-report measures of the physical environment and physical activity behaviours. , 2004, Journal of science and medicine in sport.

[30]  A. Bauman,et al.  Environmental and policy interventions to promote physical activity. , 1998, American journal of preventive medicine.

[31]  Nancy A Ross,et al.  A call for caution and transparency in the calculation of land use mix: measurement bias in the estimation of associations between land use mix and physical activity. , 2014, Health & place.

[32]  Jasper Schipperijn,et al.  Variations in active transport behavior among different neighborhoods and across adult lifestages. , 2014, Journal of transport & health.

[33]  Kevin Manaugh,et al.  What is mixed use? Presenting an interaction method for measuring land use mix , 2013 .

[34]  M. Umezaki,et al.  Association between daily physical activity and neighborhood environments , 2009, Environmental health and preventive medicine.

[35]  N. Owen,et al.  Environmental factors associated with adults' participation in physical activity: a review. , 2002, American journal of preventive medicine.

[36]  Alan Shiell,et al.  In search of causality: a systematic review of the relationship between the built environment and physical activity among adults , 2011, The international journal of behavioral nutrition and physical activity.

[37]  N. Mutrie,et al.  The Influence of the Local Neighbourhood Environment on Walking Levels during the Walking for Wellbeing in the West Pedometer-Based Community Intervention , 2012, Journal of environmental and public health.

[38]  Fuzhong Li,et al.  Obesity and the Built Environment: Does the Density of Neighborhood Fast-Food Outlets Matter? , 2009, American journal of health promotion : AJHP.

[39]  G. McCormack,et al.  The associations between objectively-determined and self-reported urban form characteristics and neighborhood-based walking in adults , 2014, International Journal of Behavioral Nutrition and Physical Activity.

[40]  Catrine Tudor-Locke,et al.  Comparison of pedometer and accelerometer accuracy under controlled conditions. , 2003, Medicine and science in sports and exercise.

[41]  C. Tudor-Locke,et al.  Revisiting "how many steps are enough?". , 2008, Medicine and science in sports and exercise.

[42]  Sarah L. Hamilton,et al.  UK adults exhibit higher step counts in summer compared to winter months , 2008, Annals of human biology.

[43]  G. Cardon,et al.  Urban–Rural Differences in Physical Activity in Belgian Adults and the Importance of Psychosocial Factors , 2011, Journal of Urban Health.

[44]  D. Moher,et al.  Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. , 2010, International journal of surgery.

[45]  J. Sallis,et al.  Environmental correlates of walking and cycling: Findings from the transportation, urban design, and planning literatures , 2003, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[46]  A. King,et al.  Theoretical approaches to the promotion of physical activity: forging a transdisciplinary paradigm. , 2002, American journal of preventive medicine.

[47]  N. Owen,et al.  Destinations that matter: associations with walking for transport. , 2007, Health & place.

[48]  J. Sallis,et al.  Linking objectively measured physical activity with objectively measured urban form: findings from SMARTRAQ. , 2005, American journal of preventive medicine.

[49]  Zhang Ying,et al.  Relationship Between Built Environment, Physical Activity, Adiposity, and Health in Adults Aged 46-80 in Shanghai, China. , 2015, Journal of physical activity & health.

[50]  Lawrence D Frank,et al.  International variation in neighborhood walkability, transit, and recreation environments using geographic information systems: the IPEN adult study , 2014, International Journal of Health Geographics.