The COVID-19 pandemic has many individuals around the world fearing for their lives. The constant news coverage, rapid transmission, and relatively high mortality rate, make fearfulness a natural response. To assess the fear of COVID-19, the Fear of COVID-19 Scale (FCV-19S) was developed. The primary aim of the present study was to conduct the first psychometric assessment and validation of the English version of the FCV-19S. Two samples were collected in New Zealand. Sample 1 comprised 1624 participants of which 1397 completed all questions and were used in the analyses. Sample 2 comprised 1111 participants of which 1023 completed all questions and were used in the analyses. Several psychometric tests were conducted to ascertain the scale’s reliability and validity. Across both samples, the FCV-19S had high internal consistency. Consistent with the earlier validation studies, the FCV-19S displayed a moderately strong relationship with the perceived infectability and germ aversion subscales of the perceived vulnerability to disease scale (PVDS). Furthermore, FCV-19S scores were negatively correlated with the Warwick-Edinburgh Mental Wellbeing Scale (WEMWBS) scores. With respect to the motivating role of fear, there was a significant relationship between FCV-19S scores and adherence to the lockdown rules that were implemented in New Zealand. Finally, consistent with recent reports on the politicization of the COVID-19 pandemic, an exploratory question found that participants who rated themselves as more conservative tended to report lower FCV-19S scores. The English version of the COVID-19S is a sound unidimensional scale with robust psychometric properties and can be used with confidence among English-speaking populations.

Background: The COVID-19 pandemic has many individuals around the world fearing for their lives. The constant news coverage, rapid transmission, and relatively high mortality rate, make fearfulness a natural response. To assess the fear of COVID-19, the Fear of COVID-19 Scale (FCV-19S) was developed. The primary aim of the present study is to conduct the first psychometric assessment and validation of the English version of the FCV-19S.Methods: Two samples were collected in New Zealand. Sample 1 comprised 1,624 participants of which 1,397 completed all questions and were used in the analyses. Sample 2 comprised 1,111 participants of which 1,023 completed all questions and were used in the analyses. Several psychometric tests were conducted to ascertain the scale’s reliability and validity.Results: Across both samples, the FCV-19S had high internal consistency. Consistent with the earlier validation studies, the FCV-19S displayed a moderately strong relationship with the perceived infectability and germ aversion subscales of the Perceived Vulnerability to Disease Scale (PVDS). Furthermore, FCV-19S scores were negatively correlated with the Warwick-Edinburgh Mental Wellbeing Scale (WEMWBS) scores. With respect to the motivating role of fear, there was a significant relationship between FCV-19S scores and adherence to the lockdown rules that were implemented in New Zealand. Finally, consistent with recent reports on the politicization of the COVID-19 pandemic, an exploratory question found that participants who rated themselves as more conservative tended to report lower FCV-19S scores.Conclusion: The English version of the COVID-19S is a sound unidimensional scale with robust psychometric properties and can be used with confidence among English-speaking populations.

To investigate the associations of demographic variables, childhood adversities (CAs), and mental disorders (MDx) with onset, transition, and persistence of suicidal thoughts and behaviors (STB) among first-year university students. Poisson regression models within a discrete-time survival framework were constructed using web-based self-report survey data from 72,288 incoming university students across 18 countries (response rate=20.9%; median age=19 years, 57.9% female, 1.4% transgender, 21.0% non-heterosexual). These models examined the associations of four demographic variables, five CAs, and eight MDx with STB outcomes. Lifetime prevalence of suicidal ideation, plans, and attempts was 47.0%, 26.0%, and 9.6%, respectively; 12-month estimates were 30.6%, 14.0%, and 2.3%. In unadjusted analyses, associations were strongest between lifetime onset of suicidal ideation and CAs (RR range 4.4-7.0), particularly parental psychopathology (relative risk [RR]=7.0 [95% CI 6.5-7.7]), followed by MDx (RR range 1.3-3.0). Of the demographic subgroups, transgender students had highest risk of STB (lifetime ideation onset RR=2.4 [2.3-2.6]; ideation-to-attempt transition RR=1.5 [1.3-1.8]). In fully adjusted models, strongest predictors of lifetime ideation onset were emotional abuse (RR=2.1 [1.9-2.2]), major depressive disorder (RR=2.0 [1.9-2.1]), and bipolar disorder (RR=1.8 [1.6-2.0]). Ideation-to-attempt transition remained most strongly associated with panic disorder (RR=1.5 [1.3-1.7]), bipolar disorder (RR=1.4 [1.2-1.7]), and sexual abuse (RR=1.4 [1.2-1.7]). Most predictors were significantly but weakly associated with persistence of ideation and plan, while only physical abuse remained associated with repeated suicide attempts (RR=1.3 [1.0-1.8]). CAs and MDx are strong predictors of both onset of and transition within the STB spectrum, underscoring the importance of implementing early-life prevention interventions.

Introduction: Globally, the use of vapes, or e‐cigarettes, is increasing. While vaping is less harmful than smoking and may help smokers to quit, there is also the possibility that vaping may lead to smoking. The current study aimed to determine the prevalence of vaping and smoking in Aotearoa New Zealand and explore longitudinal pathways between smoking status and vape use.Method: Data related to smoking and vaping status was analysed from Times 10, 11 and 12 across 2018–2020 of the New Zealand Attitudes and Values study, a large, representative, multi‐wave study of adults living in New Zealand. Weighted descriptive analyses were used to determine prevalence rates of vaping and smoking and a generalised linear modelling approach was used to examine the likelihood of changing to, or taking up, the other behaviour in the transition between time points.Results: Broadly, the prevalence of smoking was found to be decreasing over time while the prevalence of vaping was increasing. Despite these general trends, no differences were observed in the likelihood of transitioning from smoking to vaping or from vaping to smoking, indicating that either pathway was equally as likely.Discussion and Conclusions: The current findings demonstrate that vaping appeared to be just as likely to have a gateway effect to smoking as it was to have a cessation effect. This highlights the need for greater consideration regarding vaping‐related policies and restrictions.