6 research outputs found

    Psychometric Properties of a Vaccine Hesitancy Scale Adapted for COVID-19 Vaccination Among People with HIV

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    We evaluated the psychometric properties of a modified version of the Vaccine Hesitancy Scale (VHS) among people with HIV (PWH) for COVID-19 vaccination in a cross-sectional study in the US. Self-report data from an online questionnaire were collected from a sample of N  = 175 PWH. Participants were surveyed in English or Spanish regarding attitudes towards COVID-19 vaccination using the adapted VHS. Participants were on average 51.55 years of age ( SD  = 13.90) 55% were women. The reliability of the scale was acceptable (α = 0.72). An exploratory factor analysis showed that “Lack of confidence” and “Risks” explained 45.55% and 12.31% of the variance. Related items showed expected associations with these factors, supporting construct validity. Results illustrate that the modified VHS for COVID-19 vaccination has adequate psychometric properties. We replicated the original factor structure of the VHS and demonstrated adequate internal consistency and construct validity. Validated tools are essential to guide vaccination policy and campaigns towards populations at risk

    Infection with SARS-CoV-2 is associated with menstrual irregularities among women of reproductive age.

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    BackgroundBiological and psychological mechanisms may be responsible for menstrual irregularities occurring among women during the COVID-19 pandemic.Study designFrom January 2019 to September 2021, women (18- to 45-years-old and not using hormonal contraception) were recruited in Miami-Dade County, Florida. Cross-sectional, self-report surveys collected data on menstrual irregularities, COVID-19 vaccination, stress, depression, and loneliness. A EUA approved rapid test assay using whole blood measured SARS-CoV-2 IgG antibodies. Chi-square and Fisher's exact tests described menstrual irregularities among women recruited before versus after the start of the COVID-19 pandemic and with detectable versus undetectable SARS-CoV-2 IgG antibodies. A logistic regression examined the relationship between the presence of SARS-CoV-2 IgG antibodies and menstrual irregularities controlling for age, stress, depression, and loneliness.ResultsAmong 182 women enrolled, 73 were enrolled after pandemic onset, and 36 provided vaccination data. Having detectable SARS-CoV-2 IgG antibodies was associated with a higher percentage of menstrual irregularities among unvaccinated women (0% vs. 39%, p = .026) and among all women regardless of vaccination status (31% vs. 5%; p = .005). Adjusting for age and psychological variables, the odds of menstrual irregularities were 7.03 times (95% CI [1.39, 35.60]; p = .019) higher among women with detectable antibodies compared to women without detectable antibodies. Neither enrollment date, age, nor psychological factors were associated to menstrual irregularities.ConclusionsBiological mechanisms related to SARS-CoV-2 infection may be responsible for irregular menstruation and should be further examined to mitigate the impact of the COVID-19 pandemic on women's health
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