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2.
Prev Med Rep ; 23: 101500, 2021 Sep.
Article in English | MEDLINE | ID: covidwho-1313375

ABSTRACT

The COVID-19 pandemic has considerably increased food insecurity. To identify where intervention and policy solutions are most needed, we explored barriers to obtaining food and predictors of experiencing food insecurity due to the COVID-19 pandemic. Between May and July 2020, we conducted cross-sectional online surveys with two convenience samples of U.S. adults (Study 1: n = 2,219, Study 2: n = 810). Roughly one-third of participants reported experiencing food insecurity due to the COVID-19 pandemic (Study 1: 32%, Study 2: 35%). Between one-third and half reported using the charitable food system (Study 1: 36%, Study 2: 46%). The majority of participants experienced barriers to getting food (Study 1: 84%, Study 2: 88%), of which the most commonly reported were not having enough money to buy food (Study 1: 48%; Study 2: 53%) and worrying about getting COVID-19 at the store (Study 1: 50%; Study 2: 43%). Higher education was associated with greater risk of food insecurity in both studies (all p < 0.05). Receipt of aid from SNAP buffered against the association between financial struggles and food insecurity in Study 1 (p = 0.03); there was also some evidence of this effect in Study 2 (p = 0.05). Our findings suggest that food insecurity might be reduced by mitigating financial struggles (e.g., by increasing access to SNAP) and by addressing barriers to obtaining food (e.g., by expanding accessibility of food delivery programs).

3.
Tob Control ; 31(3): 402-410, 2022 05.
Article in English | MEDLINE | ID: covidwho-926886

ABSTRACT

INTRODUCTION: The pace and scale of the COVID-19 pandemic, coupled with ongoing efforts by health agencies to communicate harms, have created a pressing need for data to inform messaging about smoking, vaping, and COVID-19. We examined reactions to COVID-19 and traditional health harms messages discouraging smoking and vaping. METHODS: Participants were a national convenience sample of 810 US adults recruited online in May 2020. All participated in a smoking message experiment and a vaping message experiment, presented in a random order. In each experiment, participants viewed one message formatted as a Twitter post. The experiments adopted a 3 (traditional health harms of smoking or vaping: three harms, one harm, absent) × 2 (COVID-19 harms: one harm, absent) between-subjects design. Outcomes included perceived message effectiveness (primary) and constructs from the Tobacco Warnings Model (secondary: attention, negative affect, cognitive elaboration, social interactions). RESULTS: Smoking messages with traditional or COVID-19 harms elicited higher perceived effectiveness for discouraging smoking than control messages without these harms (all p <0.001). However, including both traditional and COVID-19 harms in smoking messages had no benefit beyond including either alone. Smoking messages affected Tobacco Warnings Model constructs and did not elicit more reactance than control messages. Smoking messages also elicited higher perceived effectiveness for discouraging vaping. Including traditional harms in messages about vaping elicited higher perceived effectiveness for discouraging vaping (p <0.05), but including COVID-19 harms did not. CONCLUSIONS: Messages linking smoking with COVID-19 may hold promise for discouraging smoking and may have the added benefit of also discouraging vaping.


Subject(s)
COVID-19 , Electronic Nicotine Delivery Systems , Health Communication , Smoking , Vaping , Adult , COVID-19/epidemiology , COVID-19/prevention & control , Humans , Pandemics , Smoking/adverse effects , Smoking Prevention , Vaping/adverse effects , Vaping/prevention & control
4.
Pediatrics ; 146(6)2020 12.
Article in English | MEDLINE | ID: covidwho-807411

ABSTRACT

OBJECTIVES: Evaluate if the coronavirus disease 2019 (COVID-19) pandemic influences parents' intentions to have their children receive the 2020-2021 seasonal influenza vaccination. METHODS: In May 2020, we recruited 2164 US parents and guardians of children ages 6 months to 5 years to complete a brief online survey that examined parental behavior and decision-making in response to experimental stimuli and real-world events. We estimated a multivariate multinomial logistic regression (controlling for key demographics) to assess the relationship between a child's 2019-2020 influenza vaccination status and the COVID-19 pandemic's influence on a parent's intentions for their child's 2020-2021 influenza vaccination. RESULTS: Changes in vaccination intentions significantly differed between parents whose children received the 2019-2020 influenza vaccine compared with those whose children did not (P < .001). Specifically, among parents whose children did not receive the 2019-2020 vaccine, 34% (95% confidence interval [CI]: 30%-37%) reported that the COVID-19 pandemic made them less likely to have their child receive the 2020-2021 vaccine. Among those whose children did receive the 2019-2020 vaccine, this figure was just 24% (95% CI: 22%-27%). Conversely, only 21% (95% CI: 18%-24%) of parents whose children did not receive the 2019-2020 vaccine reported that the COVID-19 pandemic made them more likely to have their child receive the 2020-2021 vaccine, compared with 39% (95% CI: 36%-41%) of parents whose children did receive the 2019-2020 vaccine. CONCLUSIONS: The COVID-19 pandemic alone does not appear sufficient to encourage the uptake of pediatric seasonal influenza vaccination. Instead, the COVID-19 pandemic may exacerbate polarity in vaccination uptake.


Subject(s)
COVID-19/epidemiology , Influenza Vaccines/administration & dosage , Influenza, Human/prevention & control , Intention , Parents/psychology , SARS-CoV-2 , Adolescent , Adult , COVID-19/psychology , Child, Preschool , Confidence Intervals , Female , Health Surveys/statistics & numerical data , Humans , Income , Infant , Influenza, Human/epidemiology , Logistic Models , Male , Middle Aged , Parents/education , Politics , Probability , United States/epidemiology , Vaccination/psychology , Vaccination/statistics & numerical data , Young Adult
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