RESUMEN
BACKGROUND: People's decisions to engage in protective health behaviors, such as mask wearing during the COVID-19 pandemic, are influenced by environmental and social contexts. Previous research on mask wearing used a single question about general mask usage in public, which may not reflect actual behavior in every setting. The likelihood of wearing a mask during one activity is also related to the likelihood of wearing a mask in another or avoiding an activity entirely. This analysis compared responses between a general question and activity-specific questions and identified patterns of mask-wearing behavior across activities. METHODS: Online, opt-in, cross-sectional surveys were conducted every 2 months from November 2020 to May 2021 (n = 2508), with quota sampling and weighting to achieve a representative sample of the U.S. POPULATION: Respondents were asked how frequently they wore a mask in public and during 12 specific activities including: on public transportation, while shopping, and attending social gatherings indoors and outdoors. Spearman's rank order correlation was used to compare the frequency of mask wearing reported using a general question versus an activity specific question. Additionally, a latent class analysis was conducted to identify patterns of mask wearing behavior across activities. RESULTS: There was little to no correlation (r = .16-0.33) between respondents' general attitudes towards mask wearing and their reported frequency of mask wearing in different activities. Latent class analysis identified six distinct groups based on their mask wearing behaviors and avoidance of certain activities. The largest group (29%) avoided ten of the twelve activities and always wore a mask during activities that could not be avoided. Additional groups included those who avoided most activities but made exceptions when around friends or family (20%), part time mask wearers (18%), and never mask wearers (6%). CONCLUSIONS: The findings suggest that activity-specific questions provide more accurate and useful information than a single general question. Specific, context based, questions allow for analyses that consider the nuances of people's decision-making regarding engaging in protective health behaviors, such as mask wearing, thus enabling public health professionals to create targeted guidelines and messages.
Asunto(s)
COVID-19 , Máscaras , Humanos , COVID-19/prevención & control , Máscaras/estadística & datos numéricos , Estudios Transversales , Femenino , Masculino , Adulto , Persona de Mediana Edad , Estados Unidos , Adulto Joven , Encuestas y Cuestionarios , Conductas Relacionadas con la Salud , Anciano , Adolescente , SARS-CoV-2 , AmbienteRESUMEN
BACKGROUND: Early identification of developmental delays may have been negatively impacted by the COVID-19 pandemic. Parental engagement in developmental monitoring is a key component to successfully identifying developmental concerns. OBJECTIVE: The purpose of this project was to understand whether parental engagement in developmental monitoring changed over the course of the COVID-19 pandemic, from Spring 2019 to Fall 2021. METHODS: Survey data were obtained from 2019 SpringStyles and 2021 FallStyles Porter Novelli Public Services ConsumerStyles cross-sectional surveys. Only respondents with at least one child under the age of 8 at the time of the survey were included in the analytic sample (2019 N = 403; 2021 N = 344). Participants were asked several questions about how they monitor their children's development. Changes in frequency of developmental monitoring from 2019 to 2021 were estimated using chi-squared tests. RESULTS: In both 2019 and 2021, 89% of parents reported engaging in any type of developmental monitoring. Within the group of parents who engaged in any monitoring, there were no differences across years in the percentage of parents reporting using the methods surveyed, except that a smaller percentage reported comparing their children to others in 2021 (25%) compared to 2019 (36%, p < 0.002). CONCLUSIONS: Despite major disruptions to families' lives, there were no significant changes to parents' overall engagement in developmental monitoring prior to and during the COVID-19 pandemic.
Asunto(s)
COVID-19 , Personas con Discapacidad , Niño , Humanos , Preescolar , COVID-19/epidemiología , Estudios Transversales , Pandemias , PadresRESUMEN
BACKGROUND: While previous studies have identified a range of factors associated with mask wearing in the US, little is known about drivers of mask-wearing among racial and ethnic minority groups. This analysis assessed whether factors positively associated with wearing a mask early in the pandemic differed between participants grouped by race/ethnicity (Hispanic, non-Hispanic Black, non-Hispanic Asian, and non-Hispanic White). METHOD: Data were obtained from a US internet panel survey of 3217 respondents during May-November 2020 (weighted by race/ethnicity, age, gender, and education to the US national population). Within each of the four available racial/ethnic groups, crude and adjusted odds ratios (COR and AOR) were calculated using logistic regression to assess factors positively associated with wearing a mask. Adjusted models were controlled for age, gender, education, county COVID-19 case count, presence of a state-issued mask mandate, and interview month. RESULTS: The following variables were most strongly positively associated with mask wearing (p<0.05) in each racial/ethnic group: Hispanic-seeing others wearing masks (AOR: 6.7), importance of wearing a mask combined with social distancing (AOR: 3.0); non-Hispanic Black-belief that wearing a mask would protect others from coronavirus (AOR: 5.1), reporting hearing that one should wear a mask (AOR: 3.6); non-Hispanic Asian-belief that people important to them believe they should wear a mask (COR: 5.1, not statistically significant); and non-Hispanic White-seeing others wearing masks (AOR: 3.1), importance of wearing a mask (AOR: 2.3). CONCLUSION: Public health efforts to encourage mask wearing should consider the diversity of behavioral influences within different population groups.