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  1. Article ; Online: Perceptions of Health Misinformation on Social Media: Cross-Sectional Survey Study.

    Gaysynsky, Anna / Senft Everson, Nicole / Heley, Kathryn / Chou, Wen-Ying Sylvia

    JMIR infodemiology

    2024  Volume 4, Page(s) e51127

    Abstract: Background: Health misinformation on social media can negatively affect knowledge, attitudes, and behaviors, undermining clinical care and public health efforts. Therefore, it is vital to better understand the public's experience with health ... ...

    Abstract Background: Health misinformation on social media can negatively affect knowledge, attitudes, and behaviors, undermining clinical care and public health efforts. Therefore, it is vital to better understand the public's experience with health misinformation on social media.
    Objective: The goal of this analysis was to examine perceptions of the social media information environment and identify associations between health misinformation perceptions and health communication behaviors among US adults.
    Methods: Analyses used data from the 2022 Health Information National Trends Survey (N=6252). Weighted unadjusted proportions described respondents' perceptions of the amount of false or misleading health information on social media ("perceived misinformation amount") and how difficult it is to discern true from false information on social media ("perceived discernment difficulty"). Weighted multivariable logistic regressions examined (1) associations of sociodemographic characteristics and subjective literacy measures with misinformation perceptions and (2) relationships between misinformation perceptions and health communication behaviors (ie, sharing personal or general health information on social media and using social media information in health decisions or in discussions with health care providers).
    Results: Over one-third of social media users (35.61%) perceived high levels of health misinformation, and approximately two-thirds (66.56%) reported high perceived discernment difficulty. Odds of perceiving high amounts of misinformation were lower among non-Hispanic Black/African American (adjusted odds ratio [aOR] 0.407, 95% CI 0.282-0.587) and Hispanic (aOR 0.610, 95% CI 0.449-0.831) individuals compared to White individuals. Those with lower subjective health literacy were less likely to report high perceived misinformation amount (aOR 0.602, 95% CI 0.374-0.970), whereas those with lower subjective digital literacy were more likely to report high perceived misinformation amount (aOR 1.775, 95% CI 1.400-2.251). Compared to White individuals, Hispanic individuals had lower odds of reporting high discernment difficulty (aOR 0.620, 95% CI 0.462-0.831). Those with lower subjective digital literacy (aOR 1.873, 95% CI 1.478-2.374) or numeracy (aOR 1.465, 95% CI 1.047-2.049) were more likely to report high discernment difficulty. High perceived misinformation amount was associated with lower odds of sharing general health information on social media (aOR 0.742, 95% CI 0.568-0.968), using social media information to make health decisions (aOR 0.273, 95% CI 0.156-0.479), and using social media information in discussions with health care providers (aOR 0.460, 95% CI 0.323-0.655). High perceived discernment difficulty was associated with higher odds of using social media information in health decisions (aOR 1.724, 95% CI 1.208-2.460) and health care provider discussions (aOR 1.389, 95% CI 1.035-1.864).
    Conclusions: Perceptions of high health misinformation prevalence and discernment difficulty are widespread among social media users, and each has unique associations with sociodemographic characteristics, literacy, and health communication behaviors. These insights can help inform future health communication interventions.
    MeSH term(s) Adolescent ; Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Cross-Sectional Studies ; Health Communication ; Health Literacy/statistics & numerical data ; Social Media/statistics & numerical data ; Surveys and Questionnaires ; United States
    Language English
    Publishing date 2024-04-30
    Publishing country Canada
    Document type Journal Article
    ISSN 2564-1891
    ISSN (online) 2564-1891
    DOI 10.2196/51127
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Mitigating Health and Science Misinformation: A Scoping Review of Literature from 2017 to 2022.

    Heley, Kathryn / Chou, Wen-Ying Sylvia / D'Angelo, Heather / Senft Everson, Nicole / Muro, Abigail / Rohde, Jacob A / Gaysynsky, Anna

    Health communication

    2024  , Page(s) 1–11

    Abstract: Literature on how to address misinformation has rapidly expanded in recent years. The aim of this scoping review was to synthesize the growing published literature on health and science misinformation mitigation interventions. English-language articles ... ...

    Abstract Literature on how to address misinformation has rapidly expanded in recent years. The aim of this scoping review was to synthesize the growing published literature on health and science misinformation mitigation interventions. English-language articles published from January 2017 to July 2022 were included. After title/abstract screening, 115 publications (148 empirical studies) met inclusion criteria and were coded for sample characteristics, topics, mitigation strategies, research methods, outcomes, and intervention efficacy. A marked increase in misinformation mitigation research was observed in 2020-2022. COVID-19, vaccines, and climate change were the most frequently addressed topics. Most studies used general population samples recruited online; few focused on populations most vulnerable to misinformation. Most studies assessed cognitive outcomes (e.g., knowledge), with fewer assessing health behavior, communication behavior, or skills. Correction (k = 97) was the most used misinformation mitigation strategy, followed by education and other literacy initiatives (k = 39) and prebunking/inoculation (k = 24). Intervention efficacy varied, with 76 studies reporting positive, 17 reporting null, and 68 reporting mixed results. Most misinformation mitigation interventions were limited to short-term online experiments focused on improving cognitive outcomes. Priority research areas going forward include expanding and diversifying study samples, scaling interventions, conducting longitudinal observations, and focusing on communities susceptible to misinformation.
    Language English
    Publishing date 2024-03-27
    Publishing country England
    Document type Journal Article
    ZDB-ID 1038723-7
    ISSN 1532-7027 ; 1041-0236
    ISSN (online) 1532-7027
    ISSN 1041-0236
    DOI 10.1080/10410236.2024.2332817
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Demographic and Health Behavior Factors Associated With Clinical Trial Invitation and Participation in the United States.

    Williams, Courtney P / Senft Everson, Nicole / Shelburne, Nonniekaye / Norton, Wynne E

    JAMA network open

    2021  Volume 4, Issue 9, Page(s) e2127792

    Abstract: Importance: Representative enrollment in clinical trials is critical to ensure equitable and effective translation of research to practice, yet disparities in clinical trial enrollment persist.: Objective: To examine person-level factors associated ... ...

    Abstract Importance: Representative enrollment in clinical trials is critical to ensure equitable and effective translation of research to practice, yet disparities in clinical trial enrollment persist.
    Objective: To examine person-level factors associated with invitation to and participation in clinical trials.
    Design, setting, and participants: This cross-sectional study analyzed responses from 3689 US adults who participated in the nationally representative Health Information National Trends Survey, collected February through June 2020 via mailed questionnaires.
    Exposures: Demographic, clinical, and health behavior-related characteristics.
    Main outcomes and measures: History of invitation to and participation in a clinical trial, primary information sources, trust in information sources, and motives for participation in clinical trials were described. Respondent characteristics are presented as absolute numbers and weighted percentages. Associations between respondent demographic, clinical, and health behavior-related characteristics and clinical trial invitation and participation were estimated using survey-weighted logistic regression models.
    Results: The median (IQR) age of the 3689 respondents was 48 (33-61) years, and most were non-Hispanic White individuals (2063 [59%]; non-Hispanic Black, 452 [10%]; Hispanic, 521 [14%]), had more than a high school degree (2656 [68%]), were employed (1809 [58%]), and had at least 1 medical condition (2535 [61%]). Overall, 439 respondents (9%) had been invited to participate in any clinical trial. Respondents with increased odds of invitation were non-Hispanic Black compared with non-Hispanic White (adjusted odds ratio [aOR], 1.85; 95% CI, 1.13-3.02), had greater than a high school education compared with less than high school education (eg, ≥college degree: aOR, 4.84; 95% CI, 1.89-12.39), were single compared with married or living as married (aOR, 1.68; 95% CI, 1.04-2.73), and had at least 1 medical condition compared to none (eg, 1 medical condition: aOR, 2.25; 95% CI, 1.32-3.82). Respondents residing in rural vs urban areas had 77% decreased odds of invitation to a clinical trial (aOR 0.33; 95% CI 0.17-0.65). Of invited respondents, 199 (47%) participated. Compared with non-Hispanic White respondents, non-Hispanic Black respondents had 72% decreased odds of clinical trial participation (aOR, 0.28; 95% CI, 0.09-0.87). Respondents most frequently reported "health care providers" as the first and most trusted source of clinical trial information (first source: 2297 [59%]; most trusted source: 2597 [70%]). The most frequently reported motives for clinical trials participation were "wanting to get better" (2294 [66%]) and the standard of care not being covered by insurance (1448 [41%]).
    Conclusions and relevance: The findings of this study suggest that invitation to and participation in clinical trials may differ by person-level demographic and clinical characteristics. Strategies toward increasing trial invitation and participation rates across diverse patient populations warrant further research to ensure equitable translation of clinical benefits from research to practice.
    MeSH term(s) Adult ; Aged ; Clinical Trials as Topic ; Cross-Sectional Studies ; Demography/statistics & numerical data ; Ethnicity/statistics & numerical data ; Female ; Health Behavior ; Health Surveys ; Humans ; Male ; Middle Aged ; Research Subjects/psychology ; Research Subjects/statistics & numerical data ; United States
    Language English
    Publishing date 2021-09-01
    Publishing country United States
    Document type Journal Article
    ISSN 2574-3805
    ISSN (online) 2574-3805
    DOI 10.1001/jamanetworkopen.2021.27792
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Uncertainty: a neglected determinant of health behavior?

    Berrigan, David / Dean, David / Senft Everson, Nicole / D'Angelo, Heather / Boyd, Patrick / Klein, William M P / Han, Paul K J

    Frontiers in psychology

    2023  Volume 14, Page(s) 1145879

    Abstract: Health behaviors are critical determinants of the well-being of individuals and populations, and understanding the determinants of these behaviors has been a major focus of research. One important determinant that has received little direct attention in ... ...

    Abstract Health behaviors are critical determinants of the well-being of individuals and populations, and understanding the determinants of these behaviors has been a major focus of research. One important determinant that has received little direct attention in past health research is uncertainty: a complex phenomenon that pertains not only to scientific issues regarding the diagnosis, prognosis, prevention, and treatment of health problems, but also to personal issues regarding other important health-related concerns. Here, we make the case for greater attention to uncertainty in health behavior theory and research, and especially to personal uncertainties. We discuss three exemplary types of personal uncertainty-
    Language English
    Publishing date 2023-05-12
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2563826-9
    ISSN 1664-1078
    ISSN 1664-1078
    DOI 10.3389/fpsyg.2023.1145879
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Feasibility of precision smoking treatment in a low-income community setting: results of a pilot randomized controlled trial in The Southern Community Cohort Study.

    Lee, Scott S / Senft Everson, Nicole / Sanderson, Maureen / Selove, Rebecca / Blot, William J / King, Stephen / Gilliam, Karen / Kundu, Suman / Steinwandel, Mark / Sternlieb, Sarah J / Cai, Qiuyin / Warren Andersen, Shaneda / Friedman, Debra L / Connors Kelly, Erin / Fadden, Mary Kay / Freiberg, Matthew S / Wells, Quinn S / Canedo, Juan / Tyndale, Rachel F /
    Young, Robert P / Hopkins, Raewyn J / Tindle, Hilary A

    Addiction science & clinical practice

    2024  Volume 19, Issue 1, Page(s) 16

    Abstract: Background: The feasibility of precision smoking treatment in socioeconomically disadvantaged communities has not been studied.: Methods: Participants in the Southern Community Cohort Study who smoked daily were invited to join a pilot randomized ... ...

    Abstract Background: The feasibility of precision smoking treatment in socioeconomically disadvantaged communities has not been studied.
    Methods: Participants in the Southern Community Cohort Study who smoked daily were invited to join a pilot randomized controlled trial of three smoking cessation interventions: guideline-based care (GBC), GBC plus nicotine metabolism-informed care (MIC), and GBC plus counseling guided by a polygenic risk score (PRS) for lung cancer. Feasibility was assessed by rates of study enrollment, engagement, and retention, targeting > 70% for each. Using logistic regression, we also assessed whether feasibility varied by age, sex, race, income, education, and attitudes toward precision smoking treatment.
    Results: Of 92 eligible individuals (79.3% Black; 68.2% with household income < $15,000), 67 (72.8%; 95% CI 63.0-80.9%) enrolled and were randomized. Of these, 58 (86.6%; 95% CI 76.4-92.8%) engaged with the intervention, and of these engaged participants, 43 (74.1%; 95% CI 61.6-83.7%) were retained at 6-month follow-up. Conditional on enrollment, older age was associated with lower engagement (OR 0.83, 95% CI 0.73-0.95, p = 0.008). Conditional on engagement, retention was significantly lower in the PRS arm than in the GBC arm (OR 0.18, 95% CI 0.03-1.00, p = 0.050). No other selection effects were observed.
    Conclusions: Genetically informed precision smoking cessation interventions are feasible in socioeconomically disadvantaged communities, exhibiting high enrollment, engagement, and retention irrespective of race, sex, income, education, or attitudes toward precision smoking treatment. Future smoking cessation interventions in this population should take steps to engage older people and to sustain participation in interventions that include genetic risk counseling.
    Trial registration: ClinicalTrials.gov No. NCT03521141, Registered 27 April 2018, https://www.
    Clinicaltrials: gov/study/NCT03521141.
    MeSH term(s) Aged ; Humans ; Cohort Studies ; Feasibility Studies ; Pilot Projects ; Smoking/epidemiology ; Smoking/therapy ; Tobacco Smoking ; Male ; Female
    Language English
    Publishing date 2024-03-15
    Publishing country England
    Document type Randomized Controlled Trial ; Journal Article
    ZDB-ID 2492632-2
    ISSN 1940-0640 ; 1940-0640
    ISSN (online) 1940-0640
    ISSN 1940-0640
    DOI 10.1186/s13722-024-00441-1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Dispositional optimism and optimistic bias: Associations with cessation motivation, confidence, and attitudes.

    Senft Everson, Nicole / Klein, William M P / Lee, Scott S / Selove, Rebecca / Sanderson, Maureen / Blot, William J / Tyndale, Rachel F / King, Stephen / Gilliam, Karen / Kundu, Suman / Steinwandel, Mark / Sternlieb, Sarah J / Warren Andersen, Shaneda / Friedman, Debra L / Connors, Erin / Fadden, Mary Kay / Freiberg, Matthew S / Wells, Quinn S / Canedo, Juan /
    Young, Robert P / Scott, Raewyn J / Umeukeje, Ebele M / Griffith, Derek M / Tindle, Hilary A

    Health psychology : official journal of the Division of Health Psychology, American Psychological Association

    2022  Volume 41, Issue 9, Page(s) 621–629

    Abstract: Objective: To test whether 2 conceptually overlapping constructs, dispositional optimism (generalized positive expectations) and optimistic bias (inaccurately low risk perceptions), may have different implications for smoking treatment engagement.: ... ...

    Abstract Objective: To test whether 2 conceptually overlapping constructs, dispositional optimism (generalized positive expectations) and optimistic bias (inaccurately low risk perceptions), may have different implications for smoking treatment engagement.
    Method: Predominantly Black, low-income Southern Community Cohort study smokers (n = 880) self-reported dispositional optimism and pessimism (Life Orientation Test-Revised subscales: 0 = neutral, 12 = high optimism/pessimism), comparative lung cancer risk (Low/Average/High), and information to calculate objective lung cancer risk (Low/Med/High). Perceived risk was categorized as accurate (perceived = objective), optimistically-biased (perceived < objective), or pessimistically-biased (perceived > objective). One-way ANOVAs tested associations between dispositional optimism/pessimism and perceived risk accuracy. Multivariable logistic regressions tested independent associations of optimism/pessimism and perceived risk accuracy with cessation motivation (Low/High), confidence (Low/High), and precision treatment attitudes (Favorable/Unfavorable), controlling for sociodemographics and nicotine dependence.
    Results: Mean dispositional optimism/pessimism scores were 8.41 (
    Conclusions: Dispositional optimism and lung cancer risk perception accuracy were unrelated. Dispositional optimism was associated with favorable engagement-related outcomes and optimistically-biased risk perception with unfavorable outcomes, reinforcing the distinctiveness of these constructs and their implications for smoking treatment. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
    MeSH term(s) Cohort Studies ; Humans ; Lung Neoplasms ; Motivation ; Optimism ; Personality
    Language English
    Publishing date 2022-07-28
    Publishing country United States
    Document type Journal Article
    ZDB-ID 226369-5
    ISSN 1930-7810 ; 0278-6133
    ISSN (online) 1930-7810
    ISSN 0278-6133
    DOI 10.1037/hea0001184
    Database MEDical Literature Analysis and Retrieval System OnLINE

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