Background Adolescents’ use of social media, which has increased considerably in the past decade, has both positive and negative influences on adolescents’ health and health behaviors. As social media is the most prominent communication tool of choice for adolescents, it is important to understand the relationship between the frequency of social media use and health behaviors among this population. Objective The objective of our study was to examine the associations between the frequency of social media use and physical activity and sleep adequacy among middle and high school students. Methods We used data from the Monitoring the Future survey (2014 and 2015), a nationally representative, annual, cross-sectional survey of American 8th-, 10th-, and 12th-grade students (N=43,994). Health behaviors examined were frequency of vigorous physical activity and frequency of getting 7 hours of sleep (never/seldom, sometimes, and every day/nearly every day). We measured frequency of social media use using a Likert-like scale (never, a few times a year, 1-2 times a month, once a week, or every day). Multivariable generalized ordered logistic regressions examined the association of social media use with different levels of physical activity and sleep. We estimated marginal effects (MEs) for the main independent variable (social media use frequency) by holding all other variables at their observed values. Results The study population comprised 51.13% (21,276/42,067) female students, 37.48% (17,160/43,994) from the South, and 80.07% (34,953/43,994) from a metropolitan area, with 76.90% (33,831/43,994) reporting using social media every day. Among physically active students, frequent social media use was associated with a higher likelihood of vigorous daily exercise (ME 50.1%, 95% CI 49.2%-51.0%). Among sedentary students, frequent social media use was associated with a lower likelihood of vigorous daily exercise (ME 15.8%, 95% CI 15.1%-16.4%). Moderately active students who used social media once or twice a month had the highest likelihood of reporting vigorous daily exercise (ME 42.0%, 95% CI 37.6%-46.3%). Among those who normally got adequate sleep, daily social media users were least likely to report adequate sleep (ME 41.3%, 95% CI 40.4%-42.1%). Among those who were usually sleep deprived, daily social media users were more likely to report adequate sleep (ME 18.3%, 95% CI 17.6%-19.0%). Conclusions Regular social media use every day was associated with a reinforcement of health behaviors at both extremes of health behaviors, whereas a medium intensity of social media use was associated with the highest levels of physical activity and lowest sleep adequacy among those with moderate health behaviors. Hence, finding an optimal level of social media use that is beneficial to a variety of health behaviors would be most beneficial to adolescents who are in the middle of the health behavior spectrum....
BackgroundAdvertising has been implicated in the declining quality of the American diet, but much of the research has been conducted with children rather than adults. This study tested the effects of televised food advertising on adult food choice.MethodsParticipants (N = 351) were randomized into one of 4 experimental conditions: exposure to food advertising vs. exposure to non-food advertising, and within each of these groups, exposure to a task that was either cognitively demanding or not cognitively demanding. The number of unhealthy snacks chosen was subsequently measured, along with total calories of the snacks chosen.ResultsThose exposed to food advertising chose 28% more unhealthy snacks than those exposed to non-food-advertising (95% CI: 7% - 53%), with a total caloric value that was 65 kcal higher (95% CI: 10-121). The effect of advertising was not significant among those assigned to the low-cognitive-load group, but was large and significant among those assigned to the high-cognitive-load group: 43% more unhealthy snacks (95% CI: 11% - 85%) and 94 more total calories (95% CI: 19-169).ConclusionsTelevised food advertising has strong effects on individual food choice, and these effects are magnified when individuals are cognitively occupied by other tasks.
Objective The present paper investigated the impact of the 2008 financial crisis on food security in Mexico and how it disproportionally affected vulnerable households. Design A generalized ordered logistic regression was estimated to assess the impact of the crisis on households’ food security status. An ordinary least squares and a quantile regression were estimated to evaluate the effect of the financial crisis on a continuous proxy measure of food security defined as the share of a household’s current income devoted to food expenditures. Setting Both analyses were performed using pooled cross-sectional data from the Mexican National Household Income and Expenditure Survey 2008 and 2010. Subjects The analytical sample included 29 468 households in 2008 and 27 654 in 2010. Results The generalized ordered logistic model showed that the financial crisis significantly (P < 0·05) decreased the probability of being food secure, mildly or moderately food insecure, compared with being severely food insecure (OR = 0·74). A similar but smaller effect was found when comparing severely and moderately food-insecure households with mildly food-insecure and food-secure households (OR = 0·81). The ordinary least squares model showed that the crisis significantly (P < 0·05) increased the share of total income spent on food (β coefficient of 0·02). The quantile regression confirmed the findings suggested by the generalized ordered logistic model, showing that the effects of the crisis were more profound among poorer households. Conclusions The results suggest that households that were more vulnerable before the financial crisis saw a worsened effect in terms of food insecurity with the crisis. Findings were consistent with both measures of food security – one based on self-reported experience and the other based on food spending.
Objective The study sought to examine whether provider encouragement is associated with improvements in engaging patients with their healthcare processes using online portals. Materials and Methods Using the Health Information National Trends Survey 2017 (N = 2, 670), we conducted an exploratory factor analysis with varimax orthogonal rotation and derived 3 outcome variables on patient engagement: (1) information access score, (2) care convenience score, and (3) patient engagement score. Multivariable linear regression on each outcome variable was conducted with provider encouragement as the main predictor, controlling for patient demographics. Results Women (60%), white participants (69%), and those with a college degree (49%) were more likely to report receiving provider encouragement. Those who were encouraged to use patient portals scored higher on all 3 outcome measures compared with those who were not encouraged (B = 0 .80 vs B = 0.11 for information access, B = 1.13 vs B = 0.13 for care convenience, and B = 0.44 vs B = 0.05 for patient engagement; all P < .001). For every additional 100 patients receiving encouragement, 65 more information access tasks, 94 more care convenience tasks, and 40 more patient engagement tasks would be performed. Discussion Provider encouragement was most influential concerning care convenience tasks and least influential on complex decision-making tasks. This may be due to portal design and the content available to patients, which merit consideration in future studies. Conclusions Provider encouragement is associated with more patient engagement, as indicated by significantly higher utilization of patient portals for accessing information, participating in routine care processes, and making complex healthcare decisions.
Introduction Recent research has highlighted disparities in people who perceive as trustworthy sources of e-cigarette health information. Research has yet to examine if trusting a particular source of information is associated with use of e-cigarettes or perceptions of e-cigarette harm. We use a nationally representative survey of American adults to address these gaps in knowledge. Methods This study used data from the Health Information National Trends Survey (N = 3738). Logistic regression models were used to calculate odds of ever using e-cigarettes and perceived health harm of e-cigarettes. Trust in seven different sources of e-cigarette health information served as the independent variables. Models accounted for confounders. Results Trusting religious organizations “a lot” as sources of e-cigarette health information was associated with lower odds of ever using e-cigarettes and with lower odds of perceiving e-cigarettes as less harmful than conventional cigarettes. Trusting e-cigarette companies “a lot” as sources of e-cigarette health information was associated with lower odds of viewing e-cigarettes as harmful to health. Conclusion Trusting health information about e-cigarettes from sources in the medical or public health field was not associated with lower use of e-cigarettes or viewing e-cigarettes as more harmful. Trusting health information from e-cigarette companies yielded perceptions of e-cigarette harm that are consistent with messaging provided by these companies. Implications As use of e-cigarettes continues to climb, leveraging different modes of health communication will be critical to both discourage e-cigarette use among never-smokers and, potentially, to encourage use of e-cigarettes as an option to achieve smoking cessation or reduce the harm of tobacco products. Our findings suggest that religious organizations may be helpful in communicating anti-e-cigarette messages.
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