American Journal of Health Promotion最新文献

{"title":"Editor's Desk: Knowing Well, Reading Well for Social Connection.","authors":"Jessica Grossmeier","doi":"10.1177/08901171251319874","DOIUrl":"https://doi.org/10.1177/08901171251319874","url":null,"abstract":"","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":"39 3","pages":"537-545"},"PeriodicalIF":2.5,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143530862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In Briefs.","authors":"","doi":"10.1177/08901171251316912","DOIUrl":"https://doi.org/10.1177/08901171251316912","url":null,"abstract":"","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":"39 3","pages":"373-380"},"PeriodicalIF":2.5,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143530866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Survival Analysis of Rural-Urban Disparities in COVID-19 Vaccination Uptake in the United States.","authors":"Biplab Kumar Datta, Jennifer E Jaremski, Benjamin E Ansa, Lorriane Odhiambo, Catherine Clary, K M Monirul Islam, J Aaron Johnson","doi":"10.1177/08901171241300136","DOIUrl":"10.1177/08901171241300136","url":null,"abstract":"<p><strong>Purpose: </strong>Though urban-rural disparities in COVID-19 vaccination coverage was documented at a point of time, little is known on the evolution of vaccination uptake over time. This study, using individual level time-to-event data, intend to assess the differences in monthly progression of vaccination uptake among U.S. adults by urban/rural residence.</p><p><strong>Design: </strong>Survival analysis.</p><p><strong>Setting: </strong>Urban and rural areas in 29 U.S. states.</p><p><strong>Subjects: </strong>135,969 adults aged 18+ years.</p><p><strong>Measures: </strong>Time (in months) to receive the first dose of COVID-19 vaccine since the U.S. Food and Drug Administration (FDA) Emergency Use Authorization of Pfizer-BioNTech- and Moderna- COVID-19 Vaccine in December 2020.</p><p><strong>Analysis: </strong>Kaplan-Meier survivor functions and stratified Cox proportional hazard models were estimated for the event of being vaccinated by urban/rural residence for 25 months starting from December 2020. Monthly survival probabilities for urban- and rural- adults were further assessed within certain demographic and socioeconomic groups.</p><p><strong>Results: </strong>We found a gradual divergence of COVID-19 vaccination uptake in favor of urban adults, which was robust across sex, age groups, race and ethnicity, education, and income levels. In April 2021, after vaccine eligibility was expanded, 42.2% adults in urban and 53.3% adults in rural areas were unvaccinated. While only 19.3% urban adults remained unvaccinated in December 2022, this rate was 32.5% among rural adults. Compared to their urban counterparts, rural adults were 0.77 (95% CI: 0.76 - 0.79) times as likely to receive the first dose of COVID-19 vaccine.</p><p><strong>Conclusions: </strong>Time-to-event analysis of vaccination against COVID-19 indicated a lower uptake among rural adults, which was persistent across different demographic and socioeconomic groups.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"405-416"},"PeriodicalIF":2.5,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142611982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"I Used AI in the Drafting of this Editorial. How Should I Reference AI's Contribution?","authors":"","doi":"10.1177/08901171251324731","DOIUrl":"https://doi.org/10.1177/08901171251324731","url":null,"abstract":"<p><p>The use of artificial intelligence (AI) and large language models to support research and scientific writing is new but expanding exponentially. This editorial provides guidance on how to cite the use of AI and discusses practical and ethical issues relating to AI-generated content in manuscript submissions to this journal and others. Author transparency and explicitly stating how AI was used is a core expectation of editors and publishers. What's more, this editorial provides examples of how vigilant researchers and writers need to be in verifying the output from AI queries. Though AI is thought to save time in many cognitive and professional tasks, the tendencies of AI towards misinformation and bias may well negate the advantages that AI has in surfacing requested information.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"8901171251324731"},"PeriodicalIF":2.5,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143530857","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Overcoming Challenges to Adopting Smoke-Free Multi-Unit Housing Policies in a Large U.S. Metropolitan Area: Insights and Recommendations From Affected Groups in 20 Los Angeles County Cities.","authors":"Lia W Marshall, Gladis Chavez-Sosa, Tonya Gorham Gallow, Claude Jovelle, Lori Fischbach, Andy Dang, Dana Guglielmo, Aimee Holmes, Tony Kuo","doi":"10.1177/08901171241293367","DOIUrl":"10.1177/08901171241293367","url":null,"abstract":"<p><strong>Purpose: </strong>Community members and non-academic partners (\"affected groups\") were asked to identify factors that can influence public support, impede adoption, and mitigate challenges related to adopting local smoke-free multi-unit housing policies.</p><p><strong>Approach: </strong>A series of key informant interviews were conducted with affected groups from a large U.S. metropolitan area.</p><p><strong>Setting: </strong>20 cities in Los Angeles County without a smoke-free multi-unit housing ordinance.</p><p><strong>Participants: </strong>Interviewees were recruited from affected groups with knowledge about their community's civic and political landscape (n = 63).</p><p><strong>Method: </strong>Data were collected and analyzed using thematic analysis to identify, code and compare themes.</p><p><strong>Results: </strong>Most interviewees indicated civic groups, those who do not smoke, and/or groups who are educated about the negative health effects of secondhand smoke exposure would be more likely to support smoke-free multi-unit housing policies. Interviewees reported several challenges to policy adoption, including competing city priorities, public disengagement, and the cost and social burden of enforcing these ordinances. To overcome them, interviewees recommended working synergistically with local governments to build diverse coalitions, educate the public, and develop clear enforcement plans.</p><p><strong>Conclusion: </strong>Insights and recommendations from affected groups in 20 U.S. cities suggest that communicating with the public and priming impacted communities to support smoke-free multi-unit housing policies are promising interventions for protecting at-risk families from secondhand smoke exposure in their homes.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"479-492"},"PeriodicalIF":2.5,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142520709","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Health and University Students: The Mediator Role of Emotion Regulation Between Academic Stressors and Health Behaviors.","authors":"Mónica Cassaretto, Patty Vilela, Miguel Dávila, Arturo Calderón","doi":"10.1177/08901171241301969","DOIUrl":"10.1177/08901171241301969","url":null,"abstract":"<p><strong>Purpose: </strong>To determine the role of Health Behaviors and Cognitive Emotion Regulation Strategies in the relationship between Health and Academic Stress.</p><p><strong>Design: </strong>A cross-sectional study with in-person administration of questionnaires.</p><p><strong>Setting: </strong>Data collection took place at nine public and private universities in Peru, involving a diverse group of students from different faculties.</p><p><strong>Sample: </strong>1640 students, a majority of them female (61.8%), ranging in age between 18 and 30 years old (<i>M</i> = 20.72; <i>SD</i> = 2.22).</p><p><strong>Measures: </strong>A sociodemographic form was used to collect participants' sociodemographic, academic, and health data. Academic stress was measured by the <i>Inventory of Academic Stress (SISCO)</i>. Health habits were assessed using the <i>University Students Lifestyle Questionnaire (CEVJU-Perú)</i>. The <i>Cognitive Emotion Regulation Questionnaire</i> (CER-Q) and the <i>SF-36 Questionnaire</i> were also used to evaluate cognitive emotion regulation strategies and health-related quality of life, respectively.</p><p><strong>Results: </strong>The SEM model results (<i>x</i>^<i>2</i><i>/df</i> = 2.30, <i>CFI</i> = .95, <i>RMSEA</i> = .03, <i>SRMR</i> = .04) reveal that Academic Stress has direct and indirect effects on Health. Negative Emotional Regulation have a negative impact on Health, this effect is direct; while Positive Emotional Regulation has an effect on Health, this effect is direct and indirect, the latter is through Sleep Management, Physical Activity and Leisure Management. In addition, Academic Stress maintains a direct effect on only one health behavior, Sleep Management.</p><p><strong>Conclusions: </strong>This study's findings contribute to a better understanding of the role played by emotion regulation, and by positive strategies in particular, in student health.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"461-468"},"PeriodicalIF":2.5,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142680571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multi-Prong Formative Evaluation of a Pediatric Clinical-Community Food Access and Nutrition Education Intervention.","authors":"Nick Hamdi, Kate Balestracci, Alison Tovar, Celeste Corcoran, Delma-Jean Watts, Fatima Tobar, Margaret Samson, Sarah Amin","doi":"10.1177/08901171241301886","DOIUrl":"10.1177/08901171241301886","url":null,"abstract":"<p><strong>Purpose: </strong>To understand pediatricians', community partners', and food insecure parent/caregivers' perspectives on addressing food access and nutrition education in clinical settings, and to conduct a formative evaluation of a clinical-community food access and nutrition education intervention.</p><p><strong>Design: </strong>A mixed-methods evaluation.</p><p><strong>Setting: </strong>Data was collected from pediatricians and parents/caregivers recruited from one urban pediatric primary care clinic, and from community partners involved in food access.</p><p><strong>Participants: </strong>Pediatricians (n = 14), parents at risk of food insecurity (n = 7), and community partner staff (n = 8) participated in qualitative interviews.</p><p><strong>Method: </strong>A cross-sectional survey among pediatricians assessing demographics, nutrition training, and knowledge of food access programs was administered. Semi-structured virtual interviews were conducted to understand experiences with food insecurity and food access programs, and to identify content and delivery preferences for a clinical-community intervention. Descriptive statistics were used to characterize the pediatrician and parent demographics and pediatrician nutrition knowledge. A hybrid deductive-inductive thematic analysis was used to identify emerging themes from qualitative interviews.</p><p><strong>Results: </strong>Few pediatricians (n = 3, 11%) reported receiving previous nutrition training, and knowledge-based food access program questions revealed significant gaps in pediatricians' understanding of program eligibility. Thematic analyses underscore challenges in addressing food insecurity in the clinical setting, gaps in clinical-community partnerships, and barriers to participating in food access programs.</p><p><strong>Conclusion: </strong>Findings provide recommendations for the development of clinical-community food access and nutrition education interventions.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"503-513"},"PeriodicalIF":2.5,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142674880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Test Validity of a Single-Item Food Insecurity Screening Assessment Among College Students.","authors":"Jocelyn E Jarvis, Jacqueline Perez, David Himmelgreen, Amber D Dumford, Kyaien Conner, Marilyn Stern, Rita DeBate","doi":"10.1177/08901171241302001","DOIUrl":"10.1177/08901171241302001","url":null,"abstract":"<p><strong>Purpose: </strong>Given the high prevalence of food insecurity among college students, there is an interest in identifying whether the use of a single item can adequately screen for food insecurity. The current study aimed to determine the validity of a single-item food insecurity screening question among college students.</p><p><strong>Design: </strong>Cross-sectional study exploring food insecurity among racial and ethnic undergraduate college students.</p><p><strong>Setting: </strong>Large urban U.S. research university.</p><p><strong>Sample: </strong>Undergraduate students (n = 667) 18 years or older.</p><p><strong>Measures: </strong>Food Insecurity screening was assessed via a single-item from the USDA Household Food Security Short Form (USDA FSSM-SF). Food security was assessed via the USDA FSSM-SF, a validated six-item scale that assesses food insecurity and hunger.</p><p><strong>Analysis: </strong>Logistic regression assessed the validity of the single-item food insecurity question tested against the USDA FSSM-SF.</p><p><strong>Results: </strong>The full model was statistically significant, χ2(1) = 161.44, <i>P</i> < .001 explaining 54.5% of the variance in food insecurity status correctly classifying 95.7% of cases. Sensitivity of the model was found to be 97.6%; specificity was found to be 69.6%. Positive predictive value was calculated to be 97.74%; negative predictive value was computed to be 68.09%.</p><p><strong>Conclusion: </strong>Results support for the test validity of a single-item screening question that can be used to detect food insecurity among college students and inform secondary prevention programs aimed at food insecurity.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"514-519"},"PeriodicalIF":2.5,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142674881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Traditional and Online Health Information Seeking Among Individuals With Limited English Proficiency in the United States: Cross-Sectional Study.","authors":"Christine Swoboda, Athena Stamos, Naleef Fareed","doi":"10.1177/08901171241302011","DOIUrl":"10.1177/08901171241302011","url":null,"abstract":"<p><strong>Purpose: </strong>We investigate how individuals with Limited English Proficiency (LEP) seek, access, and evaluate traditional and online sources they rely on for health information.</p><p><strong>Design: </strong>Retrospective cross-sectional survey analysis from the United States.</p><p><strong>Setting: </strong>Pooled Health Information National Trends Survey surveys (2013-2019).</p><p><strong>Subjects: </strong>The sample was comprised 15,316 respondents; 236/15,316 (1.54%) completed the survey in Spanish and 1727/14,734 (11.72%) had LEP (did not speak English \"very well\"). The sample was nationally representative across demographic categories.</p><p><strong>Measures: </strong>Independent and dependent variables were self-reported using validated measures.</p><p><strong>Analysis: </strong>Multivariable logistic regression models using jackknife replicate weights for population estimates.</p><p><strong>Results: </strong>Adults with LEP were less confident in their capacity to access health information (aOR = 0.59, CI: 0.47-0.75) and had less trust in health information from medical professionals (aOR = 0.57,CI: 0.46-0.72) than English proficient (EP) adults. Although LEP and EP adults were both most likely to use the internet as their first source of information, LEP adults were more likely than EP adults to consult health professionals, print sources like books, news or brochures, family and friends, television and radio. Spanish language survey respondents were more likely to trust health information from government agencies (aOR = 1.99, CI: 1.09-3.62) and watch health-related videos on the internet than respondents who took the survey in English (aOR = 2.51, CI: 1.23-5.12).</p><p><strong>Conclusion: </strong>Our results show how language barriers may contribute to health disparities experienced by linguistic minorities. Government agencies and health care organizations need to promote health information dissemination in underserved communities and may need to embrace the use of alternative information sources such as television, radio, and the internet to reach LEP populations.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"469-478"},"PeriodicalIF":2.5,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142680585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Effect of Person-First Language on Obesity Stigma.","authors":"Rebecca K Hoffman, Stacy M Post, Tonya Dodge, Michelle L Stock","doi":"10.1177/08901171241284551","DOIUrl":"10.1177/08901171241284551","url":null,"abstract":"<p><strong>Purpose: </strong>To test the assumption that person-first language (PFL) reduces obesity stigma, mediated by perceived personal responsibility for obesity.</p><p><strong>Design: </strong>Cross-sectional, experimental.</p><p><strong>Setting: </strong>Online, United States.</p><p><strong>Participants: </strong>299 young adults.</p><p><strong>Measures: </strong>Participants read a vignette using PFL or identity-first language (IFL) or about someone without obesity. Participants reported perceived personal responsibility for obesity, and 3 operationalizations of obesity stigma: prejudice, stereotypes, and support for punitive policies. Mediation analyses were used to test if the manipulation affected obesity stigma, through perceived personal responsibility.</p><p><strong>Results: </strong>There was no indirect effect of PFL vs IFL on the 3 outcomes (95% CIs contained zero). However, the indirect effects of PFL vs no-obesity condition were significant (prejudice: <i>β</i> = -0.10, <i>SE</i> = 0.05, 95% CI [-0.22, -0.01]; stereotypes: (<i>β</i> = 0.07, <i>SE</i> = 0.03, 95% CI [0.01, 0.14]); punitive punishment: (<i>β</i> = -0.06, <i>SE</i> = 0.04, 95% CI [-0.15, -0.01]). Also, the indirect effects of IFL vs no-obesity condition on stereotypes (<i>β</i> = 0.07, <i>SE</i> = 0.04, 95% CI [0.0003, 0.15]) and punitive punishment (<i>β</i> = -0.06, <i>SE</i> = 0.04, 95% CI [-0.15, -0.0002]) were significant.</p><p><strong>Conclusion: </strong>PFL may not affect obesity stigma as it does in the context of other marginalized groups. The effect of PFL and IFL, compared to the no-obesity condition, suggests future routes for intervention.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"388-393"},"PeriodicalIF":2.5,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142387244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}