Health problems associated with post-acute COVID-19, also known as “Long COVID,” range from mild to severe. The best defense against this potentially serious condition is to prevent COVID-19 infection and reinfection. The same preventive measures for COVID-19 may be used to help prevent the spread of Long COVID. This study used the Health Belief Model (HBM) to examine whether and how public understanding and awareness of Long COVID and its prevention shape the adoption of COVID-19 preventive behaviors. N = 605 English-speaking U.S.-based adults were recruited via Qualtrics. Predictors of intention to carry out COVID-19 preventive behaviors were investigated. Outcomes included behaviors relevant to preventing both acute and Long COVID. Across all models, except the one examining intent to get a vaccine booster, Black respondents were more likely than White respondents to express intent to carry out COVID-19 preventive behaviors. In addition, HBM constructs added significantly to the regression models. Susceptibility to Long COVID was significant for all behavioral outcomes (all p s < .05), self-efficacy for wearing a mask ( p < .001), and self-efficacy for testing for COVID-19 after exposure and before a social event ( p s < .001). In addition, perceived benefits for Long COVID prevention predicted intent of mask-wearing ( p < .001), testing before a social event ( p = .002), and getting a vaccine booster ( p = .001). Perceived severity of Long COVID did not significantly predict adherence to preventive behaviors. U.S. adults are more likely to express intent to carry out COVID-19 preventive behaviors, such as masking and receiving booster vaccines, when they report feeling greater susceptibility to Long COVID as well as greater self-efficacy for engaging in these preventive behaviors. Public health messaging about Long COVID with incorporation of HBM constructs may be an effective means of increasing continued recommended COVID-19 preventive behaviors, which also hold co-benefits for prevention of infections, such as influenza and measles, as well as emerging viruses such as avian flu.
Identifying group‐based patterns of suicidal ideation over the first 10 years after moderate‐to‐severe TBI
AbstractObjectiveTo identify group‐based patterns in suicidal ideation (SI) over the first 10 years after traumatic brain injury (TBI).MethodsParticipants included 9539 individuals in the TBI Model Systems National Database who responded to Patient Health Questionnaire‐9 Item 9 assessing SI at 1, 2, 5, and/or 10 years post‐injury. Ak‐means cluster analysis was conducted to determine group‐based patterns of SI, and pre‐injury variables were compared with ANOVAs and chi‐square tests.ResultsSI and attempts decreased over time. Four group‐based patterns emerged: Low, increasing, moderate, and decreasing SI. The low SI group comprised 89% of the sample, had the highest pre‐injury employment, fewer mental health vulnerabilities, least severe injuries, and were oldest. The increasing SI group had the most severe TBIs, were youngest, and disproportionately Black or Asian/Pacific Islander.ConclusionThese findings reinforce the importance of mental health and suicide risk assessment during chronic recovery from TBI.