Suchergebnisse

BACKGROUND: Overdose education and naloxone distribution (OEND) to laypersons are key approaches to reduce the incidence of opioid-involved overdoses. While some research has examined attitudes toward OEND, especially among pharmacists and first responders, our understanding of what laypersons believe about overdose and naloxone is surprisingly limited. Further, some scholars have expressed concerns about the prevalence of non-evidence-based beliefs about overdose and naloxone. We designed this study to analyze the prevalence, nature, and context of beliefs about naloxone and overdose among U.S. laypersons. METHODS: We conducted a cross-sectional study (n = 702) using Prolific.co (representative of the U.S. population by age, gender, and race). Primary outcomes were the believability of six statements about overdose/naloxone on a seven-point Likert-type scale. Five statements were unsupported, and one was supported, by current scientific evidence. We used latent profile analysis to classify participants into belief groups, then used regression to study correlates of profile classification. RESULTS: Believability of the statements (7: extremely believable) ranged from m = 5.57 (SD = 1.38) for a scientifically supported idea (trained bystanders can reverse overdose with naloxone), to m = 3.33 (SD = 1.83) for a statement claiming opioid users can get high on naloxone. Participants were classified into three latent belief profiles: Profile 1 (most aligned with current evidence; n = 246), Profile 2 (moderately aligned; n = 351), and Profile 3 (least aligned, n = 105). Compared to Profile 1, several covariates were associated with categorization into Profiles 2 and 3, including lower trust in science (RRR = 0.36, 95%CI = 0.24–0.54; RRR = 0.21, 95%CI = 0.12–0.36, respectively), conservative political orientation (RRR = 1.41, 95%CI = 1.23–1.63; 3:RRR = 1.62, 95%CI = 1.35–1.95, respectively), and never being trained about naloxone (Profile 3: RRR = 3.37, 95%CI = 1.16–9.77). CONCLUSIONS: Preliminary evidence suggests some ...

AbstractObjectiveNational public opinion polls and surveys use different questions from one another to assess people's abortion attitudes. We included commonly asked abortion attitude items on a single survey to examine people's attitudes toward abortion legality and abortion restriction to create profiles of people which we then compared across state groups. Concurrently assessing attitudes toward both abortion legality and restrictions is important given the changing abortion legislative climate in the United States.MethodWe administered an online survey to U.S. adults (n = 919) via Ipsos probability panel and used latent class analysis to identify classes of participants. Then, we used multinominal logistic regression to make state‐level comparisons.ResultsWe identified three classes: (1) 35.0 percent—abortion should be illegal/more restricted, (2) 35.1 percent—abortion should be legal/laws should reflect the status quo, and (3) 29.9 percent—abortion should be legal/more available. Trigger‐law states comprise the largest proportion of people who think abortion should be illegal/more restricted, whereas states without trigger laws comprise similar proportions of people from all three classes.ConclusionConcurrently measuring whether people believe abortion should be legal and the extent it should be restricted can provide a more comprehensive understanding of people's attitudes and demonstrates important state‐level nuances in attitudes.

AbstractThere is little understanding of physical activity (PA) and sedentary behavior as preventive health behaviors in autistic adults. Technology has been used as an educational and social intervention tool for autistic individuals, yet it is also associated with low PA and high sedentary time (ST) in the neurotypical population. This study aimed to examine the prevalence of self-reported PA and ST and their relationships with various technology uses in autistic adults. We employed a Qualtrics online survey that consisted of the International Physical Activity Questionnaire-Short Form, Sedentary Behavior Questionnaire, and National Alliance for Mental Illness's digital technology use survey. 229 responses (74.6% under 35 years of age; 64.1% males) satisfied the response validity criteria and were included in the analyses. The majority of participants (78%) met the recommended PA amount of ≥ 600 metabolic equivalent of task (MET)-minutes/week (median, 1,812 total MET-minutes/week), but they were also overly sedentary on both weekdays (median, 8 h/day) and weekends (median, 7 h/day). Stepwise multiple regression analyses revealed that variance of ST in weekday (45%) and weekend (43%) was largely explained by quality of life (β = -0.31; β = -0.33) and technology use time (β = 0.31; β = 0.26) (all p < .01). While technology can be an effective tool to support social and academic abilities in autistic adults, the use of technology devices needs to be monitored with care as it may put these individuals at risk for sedentary lifestyles and associated chronic diseases.

Abstract
Improving understanding of behaviors that increase or reduce cancer risk for different Hispanic groups is a public health priority; such knowledge is sparse in new gateway immigration locations such as Indiana. The aims of this study were to: 1) describe cancer beliefs and cancer preventive/risk reduction behaviors (physical activity, tobacco, and alcohol use) among Hispanic adults; 2) examine differences in cancer beliefs and preventive behaviors by country/territory of birth, socioeconomic status, and area of residence (urban vs. rural); and 3) determine predictors of engagement in cancer prevention and risk reduction behaviors in this population. A cross-sectional online survey targeted adult Indiana residents who identified as Latino, Hispanic, or Spanish recruited using Facebook-targeted advertising. Complete survey data from 1520 respondents were analyzed using descriptive, unadjusted, and adjusted models. The majority of respondents believed they were unlikely to get cancer but held many other fatalistic beliefs about cancer. Only 35.6% of respondents had received the HPV vaccine, 37.6% reported they were currently smoking cigarettes, and 64% reported occasional or frequent drinking of alcohol. Respondents spent an average of 3.55 days per week engaged in moderate exercise. Differences were observed by country/territory of birth, income, and education but not by rural residence status. Predictors of cancer risk/risk reduction behaviors were identified. The Hispanic population in Indiana is diverse and effective interventions for cancer prevention should be culturally targeted based on country/territory of birth and individually tailored based on cancer-related beliefs.

AbstractThis review identifies frequent design and analysis errors in aging and senescence research and discusses best practices in study design, statistical methods, analyses, and interpretation. Recommendations are offered for how to avoid these problems. The following issues are addressed: (a) errors in randomization, (b) errors related to testing within-group instead of between-group differences, (c) failing to account for clustering, (d) failing to consider interference effects, (e) standardizing metrics of effect size, (f) maximum life-span testing, (g) testing for effects beyond the mean, (h) tests for power and sample size, (i) compression of morbidity versus survival curve squaring, and (j) other hot topics, including modeling high-dimensional data and complex relationships and assessing model assumptions and biases. We hope that bringing increased awareness of these topics to the scientific community will emphasize the importance of employing sound statistical practices in all aspects of aging and senescence research.