Dataset Information

Crowdsourced data collection for public health: A comparison with nationally representative, population tobacco use data.

ABSTRACT: Internet-based crowdsourcing is increasingly used for social and behavioral research in public health, however the potential generalizability of crowdsourced data remains unclear. This study assessed the population representativeness of Internet-based crowdsourced data.A total of 3999 U.S. young adults ages 18 to 30years were recruited in 2016 through Internet-based crowdsourcing to complete measures taken from the 2012-2013 National Adult Tobacco Survey (NATS). Post-hoc sampling weights were created using procedures similar to the NATS. Weighted analyses were conducted in 2016 to compare crowdsourced and publicly-available 2012-2013 NATS data on demographics, tobacco use, and measures of tobacco perceptions and product warning label exposure.Those in the crowdsourced sample were less likely to report an annual household income of $50,000 or greater, and e-cigarette, waterpipe, and cigar use were more prevalent in the crowdsourced sample. High proportions of both samples indicated cigarette smoking is very harmful and very addictive. Comparable proportions of non-smokers and smokers reported cigarette warning label exposure, however the likelihood of reporting that smoking is very harmful by frequency of warning label exposure was lower among smokers in the crowdsourced sample.Our findings indicate that crowdsourced samples may differ demographically and may not produce generalizable estimates of tobacco use prevalence relative to population data after post-hoc sample weighting. However, correlational analyses in crowdsourced samples may reasonably approximate population data. Future studies can build from this work by testing additional methodological strategies to improve crowdsourced sampling strategies.

SUBMITTER: Kraemer JD

PROVIDER: S-EPMC5557015 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Crowdsourced data collection for public health: A comparison with nationally representative, population tobacco use data.

Kraemer John D JD Strasser Andrew A AA Lindblom Eric N EN Niaura Raymond S RS Mays Darren D

Preventive medicine 20170708

<h4>Introduction</h4>Internet-based crowdsourcing is increasingly used for social and behavioral research in public health, however the potential generalizability of crowdsourced data remains unclear. This study assessed the population representativeness of Internet-based crowdsourced data.<h4>Methods</h4>A total of 3999 U.S. young adults ages 18 to 30years were recruited in 2016 through Internet-based crowdsourcing to complete measures taken from the 2012-2013 National Adult Tobacco Survey (NAT ...[more]

PMID: 28694063

Similar Datasets

Project description:ObjectivesTo determine the prevalence and frequency of using any tobacco product and each of a detailed set of tobacco products, how tobacco use and frequency of use vary across countries, world regions, and World Bank country income groups, and the socioeconomic and demographic gradients of tobacco use and frequency of use within countries.DesignSecondary analysis of nationally representative, cross-sectional, household survey data from 82 low and middle income countries collected between 1 January 2015 and 31 December 2020.SettingPopulation based survey data.Participants1 231 068 individuals aged 15 years and older.Main outcome measuresSelf-reported current smoking, current daily smoking, current smokeless tobacco use, current daily smokeless tobacco use, pack years, and current use and use frequencies of each tobacco product. Products were any type of cigarette, manufactured cigarette, hand rolled cigarette, water pipe, cigar, oral snuff, nasal snuff, chewing tobacco, and betel nut (with and without tobacco).ResultsThe smoking prevalence in the study sample was 16.5% (95% confidence interval 16.1% to 16.9%) and ranged from 1.1% (0.9% to 1.3%) in Ghana to 50.6% (45.2% to 56.1%) in Kiribati. The user prevalence of smokeless tobacco was 7.7% (7.5% to 8.0%) and prevalence was highest in Papua New Guinea (daily user prevalence of 65.4% (63.3% to 67.5%)). Although variation was wide between countries and by tobacco product, for many low and middle income countries, the highest prevalence and cigarette smoking frequency was reported in men, those with lower education, less household wealth, living in rural areas, and higher age.ConclusionsBoth smoked and smokeless tobacco use and frequency of use vary widely across tobacco products in low and middle income countries. This study can inform the design and targeting of efforts to reduce tobacco use in low and middle income countries and serve as a benchmark for monitoring progress towards national and international goals.

Project description:BackgroundGlobally, tobacco kills more than nine million people per year. Annually in Bangladesh, smoking accounts for 1.2 million illnesses and over one hundred fifty thousand deaths. Worldwide, about one out of five school students smoke tobacco, and this problem is also growing significantly in Bangladesh. There is a need to address this problem. However, to the best of knowledge, no published study has been evaluated the changes in factors associated with tobacco use over time among Bangladeshi adolescent students using large, nationally representative comparable surveys. Our objective was to identify the factors associated with tobacco use among school going students, examine any changes in them over time, and explore policy options based on national surveys.MethodsWe analysed the data from the 2007 and the 2013 Global Youth Tobacco Survey (GYTS), a school-based survey targeting adolescents age 13-15 years (7th-9th grade), developed by the World Health Organization (WHO) and the Centres for Disease Control and Prevention (CDC). The samples were selected based on a two-stage cluster sample design. The data were collected in school classes using a self-administered anonymous survey. We applied chi-square tests and survey logistic regression models for analysing the data.ResultsOverall tobacco usage significantly declined from 8.4 to 6.9% over six years. The prevalence of tobacco use decreased among females (5.22 to 2.84%), those who received anti-tobacco messages (8.93 to 7.24%) and because of age restriction could not buy tobacco products (18.86 to 15.78%). Compared with the female, the odds of overall tobacco smoking among male students was 1.97 (CI: 0.99-3.92) in the year 2007 and it increased (OR = 3.07; CI: 1.56-6.04) in the year 2013. Moreover, the odds of smoking among those exposed to tobacco smoke had increased (OR = 3.26; CI: 1.46-7.29 vs 5.43; CI: 1.63-18.07) from 2007 to 2013.ConclusionThere was a decline in tobacco use, especially among female students. Male students were higher tobacco user. It appeared anti-smoking campaign and age restriction policies were working.

Project description:BackgroundSex differences in post-stroke cognitive decline have not been systematically evaluated in a nationally representative cohort. We use a quasi-experimental design to investigate sex differences in rate of post-stroke cognitive decline.MethodsUtilizing the event study design, we use the Health and Retirement Study (HRS) data (1996-2016) to evaluate the differences (percentage points [95% Confidence interval]) in the rate of change in cognitive function, measured using the modified version of the Telephone Interview for Cognitive Status (TICS-m) score, before and after incident stroke, and among patients with and without incident stroke. We estimated this event study model for the overall study population and separately fit the same model for male and female participants.ResultsOf 25,872 HRS participants included in our study, 14,459 (55.9%) were females with an overall mean age (SD) of 61.2 (9.3) years. Overall, 2,911 (11.3%) participants reported experiencing incident stroke. Participants with incident stroke (vs. no stroke) had lower baseline TICS-m score (15.6 vs. 16.1). Among participants with incident stroke, the mean pre-stroke TICS-m score was higher than the mean post-stroke TICS-m score (14.9 vs. 12.7). Event study revealed a significant short-term acceleration of cognitive decline for the overall population (4.2 [1.7-6.6] percentage points, p value = 0.001) and among female participants (5.0 [1.7-8.3] percentage points, p value = 0.003). We, however, found no evidence of long-term acceleration of cognitive decline after stroke. Moreover, among males, incident stroke was not associated with significant changes in rate of post-stroke cognitive decline.ConclusionFemales, in contrast to males, experience post-stroke cognitive deficits, particularly during early post-stroke period. Identifying the sex-specific stroke characteristics contributing to differences in post stroke cognitive decline may inform future strategies for reducing the burden of post-stroke cognitive impairment and dementia.

Project description:OBJECTIVE:The aim of this study was to assess public acceptance of four possible healthcare policies supporting tobacco dependence treatment in line with the Framework Convention for Tobacco Control, Article 14 recommendations in Germany. DESIGN:Cross-sectional household survey. SETTING:Data were drawn from the German population and collected through computer-assisted, face-to-face interviews. PARTICIPANTS:Representative random sample of 2087 people (>14 years) from the German population. OUTCOME MEASURES:Public acceptance was measured regarding (1) treatment cost reimbursement, (2) standard training for health professionals on offering cessation treatment, and making cessation treatment a standard part of care for smokers with (3) physical or (4) mental disorders. Association characteristics with smoking status and socio-economic status (SES) were assessed. RESULTS:Support for all policies was high (50%-68%), even among smokers (48%-66%). Ex-smokers and never-smokers were more likely to support standard training on cessation for health professionals than current smokers (OR 1.43, 95%?CI 1.07 to 1.92; OR 1.43; 95%?CI 1.14 to 1.79, respectively). Ex-smokers were also more likely than current smokers to support cessation treatment for smokers with mental disorders (OR 1.39, 95%?CI 1.11 to 1.73). Men were less likely than women to support cessation treatment for smokers with physical diseases (OR 0.74, 95%?CI 0.60 to 0.91) and free provision of treatment (OR 0.80, 95%?CI 0.66 to 0.97). Offering cessation treatment to smokers with physical disorders was generally more accepted than to those with mental health issues. CONCLUSIONS:The majority of the German population supports healthcare policies to improve the availability and affordability of tobacco dependence treatment. Non-smokers were more supportive than current smokers of two of the four policies, but odds of support were only about 40% higher. SES characteristics were not consistently associated with public acceptance. TRIAL REGISTRATION NUMBER:DRKS00011322.

Project description:BackgroundLinking facility and household surveys through geographic methods is a popular technique to draw conclusions about the relationship between health services and population health outcomes at local levels. These methods are useful tools for measuring effective coverage and tracking progress towards Universal Health Coverage, but are understudied. This paper compares the appropriateness of several geospatial methods used for linking individuals (within displaced survey cluster locations) to their source of family planning (at undisplaced health facilities) at a national level.MethodsIn Malawi, geographic methods linked a population health survey, rural clusters from the Woman's Questionnaire of the 2015 Malawi Demographic and Health Survey (MDHS 2015), to Malawi's national health facility census to understand the service environment where women receive family planning services. Individuals from MDHS 2015 clusters were linked to health facilities through four geographic methods: (i) closest facility, (ii) buffer (5 km), (iii) administrative boundary, and (iv) a newly described theoretical catchment area method. Results were compared across metrics to assess the number of unlinked clusters (data lost), the number of linkages per cluster (precision of linkage), and the number of women linked to their last source of modern contraceptive (appropriateness of linkage).ResultsThe closest facility and administrative boundary methods linked every cluster to at least one facility, while the 5-km buffer method left 288 clusters (35.3%) unlinked. The theoretical catchment area method linked all but one cluster to at least one facility (99.9% linked). Closest facility, 5-km buffer, administrative boundary, and catchment methods linked clusters to 1.0, 1.4, 21.1, and 3.3 facilities on average, respectively. Overall, the closest facility, 5-km buffer, administrative boundary, and catchment methods appropriately linked 64.8%, 51.9%, 97.5%, and 88.9% of women to their last source of modern contraceptive, respectively.ConclusionsOf the methods studied, the theoretical catchment area linking method loses a marginal amount of population data, links clusters to a relatively low number of facilities, and maintains a high level of appropriate linkages. This linking method is demonstrated at scale and can be used to link individuals to qualities of their service environments and better understand the pathways through which interventions impact health.

Dataset Information

Crowdsourced data collection for public health: A comparison with nationally representative, population tobacco use data.

Publications

Crowdsourced data collection for public health: A comparison with nationally representative, population tobacco use data.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets