Measuring food availability and accessibility among adolescents: Moving beyond the neighbourhood boundary

Shearer, Cindy; Rainham, Daniel; Blanchard, Chris M.; Dummer, Trevor J.B.; Lyons, Renée; Kirk, Sara F. L.

doi:10.1016/j.socscimed.2014.11.019

Cited by 63 publications

(74 citation statements)

References 39 publications

(49 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most studies were focused on adults ( n =4), with one of the studies looking only at people aged over 45 and one at people over 50 with mobility disabilities; only in 2014 have studies started to emerge looking at children or adolescents ( n =2). Four studies reported participation or enrolment rates: 11% (Gustafson et al, 2013), 28% (Zenk et al, 2011), 27% (Shearer et al, 2014) a 27%, and 77% (Harrison, Burgoine, Corder, van Sluijs, & Jones, 2014). For the adult studies, recruitment was undertaken through flyers ( n =3) (Christian, 2012, Gustafson et al, 2013, Huang et al, 2012), neighbourhood association meetings (Christian, 2012), announcements in relevant organisational e-newsletters (Huang et al, 2012), telephone (Zenk et al, 2011); for adolescent studies, recruitment was undertaken through presentation in schools and distribution of packages in which parental and student consent were included (Harrison et al, 2014, Shearer et al, 2014).…”

Section: Resultsmentioning

confidence: 99%

“…The GPS recording period was 3 days for half of the studies (Christian, 2012, Gustafson et al, 2013, Huang et al, 2012) and 7 days for the other half (Harrison et al, 2014, Shearer et al, 2014, Zenk et al, 2011). In 5 studies (Gustafson et al, 2013, Harrison et al, 2014, Huang et al, 2012, Shearer et al, 2014, Zenk et al, 2011), GPS measurement was made on both weekdays and weekend days, whereas one study (Christian, 2012) trimmed the GPS data to the first three weekdays only.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

How can GPS technology help us better understand exposure to the food environment? A systematic review

Cetateanu

Jones

2016

SSM - Population Health

View full text Add to dashboard Cite

PurposeGlobal Positioning Systems (GPS) are increasingly being used to objectively assess movement patterns of people related to health behaviours. However research detailing their application to the food environment is scarce. This systematic review examines the application of GPS in studies of exposure to food environments and their potential influences on health.MethodsBased on an initial scoping exercise, published articles to be included in the systematic review were identified from four electronic databases and reference lists and were appraised and analysed, the final cut-off date for inclusion being January 2015. Included studies used GPS to identify location of individuals in relation to food outlets and link that to health or diet outcomes. They were appraised against a set of quality criteria.ResultsSix studies met the inclusion criteria, which were appraised to be of moderate quality. Newer studies had a higher quality score. Associations between observed mobility patterns in the food environment and diet related outcomes were equivocal. Findings agreed that traditional food exposure measures overestimate the importance of the home food environment.ConclusionsThe use of GPS to measure exposure to the food environment is still in its infancy yet holds much potential. There are considerable variations and challenges in developing and standardising the methods used to assess exposure.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

How can GPS technology help us better understand exposure to the food environment? A systematic review

Cetateanu

Jones

2016

SSM - Population Health

View full text Add to dashboard Cite

show abstract

“…GPS-based methods of assessing exposure to the BE beyond the home neighborhood may better capture how people interact with the BE in actual time and space [85–92]. This emerging work on “activity space” promises to bring information about where people shop for food and are physically active, and how their shopping and activity patterns might be influenced by BE beyond that of the home environment.…”

Section: Discussionmentioning

confidence: 99%

Obesity, diet quality, physical activity, and the built environment: the need for behavioral pathways

et al. 2016

View full text Add to dashboard Cite

BackgroundThe built environment (BE) is said to influence local obesity rates. Few studies have explored causal pathways between home-neighborhood BE variables and health outcomes such as obesity. Such pathways are likely to involve both physical activity and diet.MethodsThe Seattle Obesity Study (SOS II) was a longitudinal cohort of 440 adult residents of King Co, WA. Home addresses were geocoded. Home-neighborhood BE measures were framed as counts and densities of food sources and physical activity locations. Tax parcel property values were obtained from County tax assessor. Healthy Eating Index (HEI 2010) scores were constructed using data from food frequency questionnaires. Physical activity (PA) was obtained by self-report. Weights and heights were measured at baseline and following 12 months’ exposure. Multivariable regressions examined the associations among BE measures at baseline, health behaviors (HEI-2010 and physical activity) at baseline, and health outcome both cross-sectionally and longitudinally.ResultsNone of the conventional neighborhood BE metrics were associated either with diet quality, or with meeting PA guidelines. Only higher property values did predict better diets and more physical activity. Better diets and more physical activity were associated with lower obesity prevalence at baseline and 12 mo, but did not predict weight change.ConclusionAny links between the BE and health outcomes critically depend on establishing appropriate behavioral pathways. In this study, home-centric BE measures, were not related to physical activity or to diet. Further studies will need to consider a broader range of BE attributes that may be related to diets and health.

show abstract

“…This is important since recent research has shown that environmental characteristics of such non-residential places are associated with health-related outcomes, such as self-rated health [16] and dietary intake [17][18][19]. Therefore, a growing number of studies on health, place, and mobility are using an analytical approach that involves constructing an activity space for each participant (e.g., [20][21][22][23]).…”

Section: Introductionmentioning

confidence: 99%

Comparing the Data Quality of GPS Devices and Smartphones for Assessing Relationships between Place, Mobility, and Health: A Field Study (Preprint)

Goodspeed¹,

Yan²,

Hardÿ³

et al. 2018

Preprint

View full text Add to dashboard Cite

Background: Mobile devices are increasingly used to collect location-based information from individuals about their physical activities, dietary intake, environmental exposures, and mental well-being. Such research, which typically uses wearable devices or smartphones to track location, benefits from the growing availability of fine-grained data regarding human mobility. However, little is known about the comparative geospatial accuracy of such devices. Objectives: In this study, we compared the data quality of location information collected from two mobile devices which determine location in different ways -a GPS watch and a smartphone with Google's Location History feature enabled. Methods: Twenty-one chronically ill participants carried both devices, which generated digital traces of locations, for 28 days. A smartphone-based brief ecological momentary assessment (EMA) survey asked participants to manually report their location at four random times throughout each day. Participants also took also part in qualitative interviews and completed surveys twice during the study period in which they reviewed recent phone and watch trace data to compare the devices' trace data to their memory of their activities on those days. Trace data from the devices were compared on the basis of: (1) missing data days; (2) reasons for

show abstract

Measuring food availability and accessibility among adolescents: Moving beyond the neighbourhood boundary

Cited by 63 publications

References 39 publications

How can GPS technology help us better understand exposure to the food environment? A systematic review

How can GPS technology help us better understand exposure to the food environment? A systematic review

Obesity, diet quality, physical activity, and the built environment: the need for behavioral pathways

Comparing the Data Quality of GPS Devices and Smartphones for Assessing Relationships between Place, Mobility, and Health: A Field Study (Preprint)

Contact Info

Product

Resources

About