Oral health behaviors for young low-income urban children during the COVID-19 pandemic: a mixed methods analysis (preprint)

This research assessed oral health behaviors changes in urban families with young children during the stay-at-home period of the COVID-19 pandemic. Survey data on oral health behaviors were collected in homes at three points over one year before COVID-19, and then via phone during COVID-19. Multivariate logistic regression was used to model tooth brushing frequency. A subset of parents completed in-depth interviews via video/phone that expanded on oral health and COVID-19. Key informant interviews via video/phone were also conducted with leadership from 20 clinics and social service agencies. Interview data were transcribed and coded, and themes were extracted. COVID-19 data collection went from Nov 2020 – August 2021. Of the 387 parents invited, 254 completed surveys in English or Spanish (65.6%) during COVID-19. Fifteen key informant (25 participants) and 21 parent interviews were conducted. The mean child age was approximately 4.3 years. Children identified as mainly Hispanic (57%) and Black race (38%). Parents reported increased child tooth brushing frequency during the pandemic. Parent interviews highlighted significant changes in family routines that impacted oral health behaviors and eating patterns, suggesting less optimal brushing and nutrition. This was linked to changed home routines and social presentability. Key informants described major disruptions in their oral health services and significant family fear and stress. In conclusion, the stay-at-home period of the COVID-19 pandemic was a time of extreme routine change and stress for families. Oral health interventions that target family routines and social presentability are important for families during times of extreme crisis.

Unique predictors of intended uptake of a COVID-19 vaccine (preprint)

IntroductionAn effective vaccine for COVID-19 is only of value if the public has confidence in taking it. There is little data on COVID-19-specific vaccine confidence or its determinants in the United States. The objective of this study was to determine public confidence in a COVID-19 vaccine. MethodsA cross-sectional survey of Pennsylvanian adults, August-October, 2020, to identify their likelihood of taking an approved, no-cost coronavirus vaccine, general vaccine acceptance, and sociodemographic traits to identify predictors of vaccine acceptance. ResultsOf the 950 respondents, 55% were "very likely", 20% "somewhat likely", 14% "unsure", 4% "somewhat unlikely", and 7% "very unlikely" to take a coronavirus vaccine, even though 70% had taken the flu vaccine since September 2019. The strongest predictors of vaccine acceptance were trust in the system evaluating vaccines and perceptions of local COVID-19 vaccination norms. The strongest predictors of negative vaccine intentions were worries about unknown side-effects and positive attitudes toward natural infection. Sociodemographic factors, political views, and religiosity did not predict vaccine intentions. ConclusionsFewer adults intend to take a coronavirus vaccine than currently take the flu vaccine. To overcome coronavirus vaccine hesitancy, information campaigns to reinforce positive predictors and overcome negative predictors are indicated.