scholarly journals Twitter-Derived Social Neighborhood Characteristics and Individual-Level Cardiometabolic Outcomes: Cross-Sectional Study in a Nationally Representative Sample (Preprint)

2020 ◽  
Author(s):  
Dina Huang ◽  
Yuru Huang ◽  
Sahil Khanna ◽  
Pallavi Dwivedi ◽  
Natalie Slopen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Representative Sample ◽  
Public Health Research ◽  
Cross Sectional Study ◽  
Neighborhood Environment ◽  
Neighborhood Characteristics ◽  
Lower Prevalence ◽  
Cross Sectional ◽  
Individual Level ◽  
Nationally Representative

BACKGROUND Social media platforms such as Twitter can serve as a potential data source for public health research to characterize the social neighborhood environment. Few studies have linked Twitter-derived characteristics to individual-level health outcomes. OBJECTIVE This study aims to assess the association between Twitter-derived social neighborhood characteristics, including happiness, food, and physical activity mentions, with individual cardiometabolic outcomes using a nationally representative sample. METHODS We collected a random 1% of the geotagged tweets from April 2015 to March 2016 using Twitter’s Streaming Application Interface (API). Twitter-derived zip code characteristics on happiness, food, and physical activity were merged to individual outcomes from restricted-use National Health and Nutrition Examination Survey (NHANES) with residential zip codes. Separate regression analyses were performed for each of the neighborhood characteristics using NHANES 2011-2016 and 2007-2016. RESULTS Individuals living in the zip codes with the two highest tertiles of happy tweets reported BMI of 0.65 (95% CI –1.10 to –0.20) and 0.85 kg/m<sup>2</sup> (95% CI –1.48 to –0.21) lower than those living in zip codes with the lowest frequency of happy tweets. Happy tweets were also associated with a 6%-8% lower prevalence of hypertension. A higher prevalence of healthy food tweets was linked with an 11% (95% CI 2% to 21%) lower prevalence of obesity. Those living in areas with the highest and medium tertiles of physical activity tweets were associated with a lower prevalence of hypertension by 10% (95% CI 4% to 15%) and 8% (95% CI 2% to 14%), respectively. CONCLUSIONS Twitter-derived social neighborhood characteristics were associated with individual-level obesity and hypertension in a nationally representative sample of US adults. Twitter data could be used for capturing neighborhood sociocultural influences on chronic conditions and may be used as a platform for chronic outcomes prevention.

scholarly journals Twitter-Derived Social Neighborhood Characteristics and Individual-Level Cardiometabolic Outcomes: Cross-Sectional Study in a Nationally Representative Sample

10.2196/17969 ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. e17969
Author(s):  
Dina Huang ◽  
Yuru Huang ◽  
Sahil Khanna ◽  
Pallavi Dwivedi ◽  
Natalie Slopen ◽  
...  
Keyword(s):  
Physical Activity ◽  
Representative Sample ◽  
Public Health Research ◽  
Cross Sectional Study ◽  
Neighborhood Environment ◽  
Neighborhood Characteristics ◽  
Lower Prevalence ◽  
Cross Sectional ◽  
Individual Level ◽  
Nationally Representative

Background Social media platforms such as Twitter can serve as a potential data source for public health research to characterize the social neighborhood environment. Few studies have linked Twitter-derived characteristics to individual-level health outcomes. Objective This study aims to assess the association between Twitter-derived social neighborhood characteristics, including happiness, food, and physical activity mentions, with individual cardiometabolic outcomes using a nationally representative sample. Methods We collected a random 1% of the geotagged tweets from April 2015 to March 2016 using Twitter’s Streaming Application Interface (API). Twitter-derived zip code characteristics on happiness, food, and physical activity were merged to individual outcomes from restricted-use National Health and Nutrition Examination Survey (NHANES) with residential zip codes. Separate regression analyses were performed for each of the neighborhood characteristics using NHANES 2011-2016 and 2007-2016. Results Individuals living in the zip codes with the two highest tertiles of happy tweets reported BMI of 0.65 (95% CI –1.10 to –0.20) and 0.85 kg/m2 (95% CI –1.48 to –0.21) lower than those living in zip codes with the lowest frequency of happy tweets. Happy tweets were also associated with a 6%-8% lower prevalence of hypertension. A higher prevalence of healthy food tweets was linked with an 11% (95% CI 2% to 21%) lower prevalence of obesity. Those living in areas with the highest and medium tertiles of physical activity tweets were associated with a lower prevalence of hypertension by 10% (95% CI 4% to 15%) and 8% (95% CI 2% to 14%), respectively. Conclusions Twitter-derived social neighborhood characteristics were associated with individual-level obesity and hypertension in a nationally representative sample of US adults. Twitter data could be used for capturing neighborhood sociocultural influences on chronic conditions and may be used as a platform for chronic outcomes prevention.

scholarly journals Methods used to conduct the pan-European Union survey on consumer attitudes to physical activity, body weight and health

1999 ◽  
Vol 2 (1a) ◽  
pp. 79-86 ◽  
Author(s):  
JM Kearney ◽  
MJ Kearney ◽  
S McElhone ◽  
MJ Gibney
Keyword(s):  
Physical Activity ◽  
Body Weight ◽  
Sample Selection ◽  
Regional Distribution ◽  
Consumer Attitudes ◽  
Cross Sectional Study ◽  
Cross Sectional ◽  
Nationally Representative ◽  
Population Weight ◽  
The Eu

AbstractObjectiveThe purpose of conducting this survey was to identify data on consumer attitudes towards and beliefs about physical activity, body weight and health among the 15 countries of the EU.DesignA cross-sectional study to get a picture of the attitudes to physical activity, body weight and health in the EU. For this, it was considered important that samples be nationally representative so that inferences drawn from the data could be applied to the population in each country as well as to the EU population as a whole. Using a non-probability sampling method employing quota controls (and the national weight) we obtained large sample sizes from each country which were nationally representative in terms of the variables age, sex and regional distribution. To ensure samples were truly nationally representative a national weight was used when analysing the data using the same characteristics as those used to define quotas. When examining pooled estimates for the total EU sample a population weight was applied.ResultsIn total, 15 239 subjects aged 15 years and upwards in the EU completed the survey. This article gives details on the methods used in carrying out the survey from design of the questionnaire to sample selection, questionnaire administration and analysis of the data. The methods and their limitations are discussed.

Neighborhood Environment, Access to Places for Activity, and Leisure-Time Physical Activity in a Diverse North Carolina Population

2003 ◽  
Vol 18 (1) ◽  
pp. 58-69 ◽  
Author(s):  
Sara L. Huston ◽  
Kelly R. Evenson ◽  
Philip Bors ◽  
Ziya Gizlice
Keyword(s):  
Physical Activity ◽  
North Carolina ◽  
Environmental Factors ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Heavy Traffic ◽  
Leisure Activity ◽  
Neighborhood Environment ◽  
Neighborhood Characteristics ◽  
Cross Sectional

Purpose. To examine associations between perceived neighborhood characteristics, access to places for activity, and leisure-time physical activity. Design. Cross-sectional telephone survey. Setting. Cabarrus, Henderson, Pitt, Robeson, Surry, and Wake counties in North Carolina. Subjects. Population-based sample of 1796 adults at least 18 years of age residing in the six counties. Measures. The 133-item questionnaire assessed self-reported leisure-time physical activity and perceptions of neighborhood characteristics (sidewalks, trails, heavy traffic, streetlights, unattended dogs, and safety from crime) and general access to places for physical activity. Results. Trails, streetlights, and access to places were positively associated with engaging in any leisure activity: unadjusted odds ratio (OR) (95% confidence interval [CI]); 1.62 (1.09–2.41), 1.57 (1.14–2.17), and 2.94 (1.91–4.52), respectively. Trails and access to places were positively associated with engaging in the recommended amount of leisure activity: 1.49 (1.00–2.22), and 2.28 (1.30–4.00), respectively). In multivariable logistic regression modeling including environmental factors and demographics, access to places was associated with any activity (2.23 [1.44–3.44]) and recommended activity (2.15 [1.23–3.77]), and trails were associated with recommended activity (1.51 [1.00–2.28]). Conclusion. Certain neighborhood characteristics, particularly trails, and access to places for physical activity may be associated with leisure activity levels. In this study, perceived neighborhood environmental factors and access to places for physical activity were strongly associated with race, education, and income.

scholarly journals Needs assessment for physical activity information during COVID-19 among a nationally representative sample of parents and children ages 6–17 in the United States: a cross-sectional study

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Ashleigh M. Johnson ◽  
Emily Kroshus ◽  
Pooja S. Tandon
Keyword(s):  
Physical Activity ◽  
Rural Area ◽  
Representative Sample ◽  
Information Needs ◽  
Cross Sectional ◽  
Activity Engagement ◽  
Parents And Children ◽  
Youth Physical Activity ◽  
Big City ◽  
Nationally Representative

Abstract Background The COVID-19 pandemic presented novel barriers to youth physical activity engagement. Identifying what resources parents and children are interested in receiving can support efforts to mitigate the negative impact of the pandemic on youth physical activity behavior. This study aimed to identify physical activity-related information needs during the COVID-19 pandemic among a nationally representative sample of American parents of children 6–10 years-old and parent-child dyads of children 11–17 years-old. Methods A cross-sectional survey was conducted by a market research company in October–November 2020. Parents and children were asked about their interest in specific types of information about helping their family and themselves, respectively, be active (Yes/No). Weighted percentages were calculated for reported information needs and compared using two-sample test of proportions. Results Final analytic sample was 1000 parents (55.4% female; 74.7% White; 74.0% non-Hispanic); 500 children 11–17 years-old (52.1% male; 77.6% White). Over 40% of participants were interested in information about being active during COVID-19. Parents were more likely to be interested in information if they always (versus never) worked from home [53.3% (95% CI: 43.3–63.0%) versus 22.0% (95% CI: 14.9–31.3%), p < 0.001]; had children attending school remotely versus in-person [47.3% (95% CI:40.2–54.5%) versus 27.5% (95% CI: 19.6–37.1%), p < 0.001]; and lived in a big city versus a rural area [66.5% (95% CI:54.5–76.7%) versus 34.1% (95% CI: 22.8–47.6%), p < 0.001]. Children most interested were those who did not have resources for online activity engagement and those worried about their safety or getting infected with COVID-19. Children were also more likely to be interested if their parents worked full-time versus not working [48.6% (95% CI:41.7–55.6%) versus 31.5% (95% CI: 24.1–39.9%), p < 0.001], and lived in a big city versus a rural area [57.2% (95% CI:45.3–68.3%) versus 27.8% (95% CI:17.8–40.7%), p < 0.001]. Conclusions Families are interested in physical activity resources, particularly those whose daily routines and opportunities for physical activity may have been most significantly impacted by the pandemic. This includes parents who always worked from home or whose children attended school remotely. Identifying felt needs is an important step in developing tailored interventions that aim to effectively and sustainably support families in promoting physical activity.

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