{"title":"Knowing Well, Being Well: well-being born of understanding: Introduction to the Special Collection on Qualitative Methods and Health Promotion.","authors":"Tsitsi B Masvawure","doi":"10.1177/08901171251332450","DOIUrl":"https://doi.org/10.1177/08901171251332450","url":null,"abstract":"","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":"39 4","pages":"679-712"},"PeriodicalIF":2.5,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143958657","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}
Mikael Anne Greenwood-Hickman, Laura Yarborough, Lisa Shulman, David E Arterburn, Julie Cooper, Kristin Delaney, Camilo Estrada, Beverly B Green, Erika Holden, Jennifer B McClure, Diana Romero, Dori E Rosenberg
{"title":"Understanding Goal Setting and Behavior Change Mechanics in an Older Adult Sitting Reduction Intervention.","authors":"Mikael Anne Greenwood-Hickman, Laura Yarborough, Lisa Shulman, David E Arterburn, Julie Cooper, Kristin Delaney, Camilo Estrada, Beverly B Green, Erika Holden, Jennifer B McClure, Diana Romero, Dori E Rosenberg","doi":"10.1177/08901171241302137","DOIUrl":"10.1177/08901171241302137","url":null,"abstract":"<p><p>PurposeWe explored intervention fidelity, participant satisfaction, and the goals and reminder strategies participants chose to reduce sitting.ApproachMixed methods approach leveraging data collected during study coaching and fidelity monitoring.SettingA successful 6-month randomized controlled trial of a sedentary behavior (SB) intervention for adults ≥60 years in Washington, USA.ParticipantsN = 283 (140 intervention, 143 attention control); mean age 69, 66% women, 69% Non-Hispanic White.InterventionTheory-based SB reduction intervention structured around phone-based health coaching and goal setting. Attention control received equal coaching on non-SB health topics.MethodCoaches tracked all participant goals, and 8% of visits were randomly observed and fidelity coded using a structured template. Participants completed a satisfaction questionnaire at study end. Goals data were qualitatively grouped by reminder strategy and topic. Fidelity and satisfaction data were summarized and compared by study arm using two-sided paired t-tests.ResultsBoth participants' satisfaction (>90% satisfied, between-group <i>P</i> = .195) and coach fidelity to intervention content and techniques were high (96% sessions set SMART goals, <i>P</i> = .343) across both arms. Intervention participants primarily set goals leveraging outward (e.g., fitness band prompts) and habit (e.g., adding standing to a daily meal) reminder strategies highly tailored to individual preferences and lifestyle.ConclusionParticipants' SB-related goals varied widely, suggesting tailored intervention approaches are important to change sitting behavior, particularly for older adults with chronic conditions.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"627-636"},"PeriodicalIF":2.5,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12040577/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142685819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joanne E Mantell, Tsitsi B Masvawure, Tatiana Gonzalez-Argoti, Charity Oga-Omenka, Asa E Radix, Laurie J Bauman
{"title":"Beyond Numbers: Opportunities and Challenges Using Qualitative Methods in Social Media Studies of PrEP Discourse.","authors":"Joanne E Mantell, Tsitsi B Masvawure, Tatiana Gonzalez-Argoti, Charity Oga-Omenka, Asa E Radix, Laurie J Bauman","doi":"10.1177/08901171251332450e","DOIUrl":"https://doi.org/10.1177/08901171251332450e","url":null,"abstract":"<p><p>Using pre-exposure prophylaxis (PrEP) discourse as a case study, we examine qualitative and multi-method approaches to analyzing health communication on social media platforms. These platforms have become crucial spaces for health promotion and community discourse, particularly on HIV prevention. Our review of 23 PrEP-focused studies that used social media data documents the different strengths of both methodologies. Qualitative analyses were strong at capturing how platform architecture shaped discourse quality: Reddit's forum structure enabled deeper narratives while X's (formerly Twitter) character constrained discussions. Algorithm-driven platforms' short-form video formats like TikTok emerged as unique media for health communication, enabling creative expression but limiting discourse depth. Multi-method studies dominated the literature (n = 15) yet struggled to meaningfully integrate quantitative metrics with qualitative insights. Frameworks are required that better combine computational approaches with qualitative analysis, while accounting for key challenges of social media data: the transient nature of data, context preservation, and post-authenticity validation.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":"39 4","pages":"692-712"},"PeriodicalIF":2.5,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143958653","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}
Rebecca M Toland, Tiera Rowan, Ivanna Caballero, Dawn Truong
{"title":"Analysis of Demographic Characteristics and Drinking Habits at a Southern College Provide Critical Information for Developing an Effective Prevention Program.","authors":"Rebecca M Toland, Tiera Rowan, Ivanna Caballero, Dawn Truong","doi":"10.1177/08901171241293359","DOIUrl":"10.1177/08901171241293359","url":null,"abstract":"<p><p>ImportanceTo examine the associations of basic demographics (age, race, and gender identity) on alcohol consumption among college students at a mid-sized university.ObjectiveTo evaluate the drinking habits of students using the survey tool that will measure basic demographics to collect data.DesignA cross-sectional study that included college students ages 17-21 at Columbus State University in the fall of 2021.SettingColumbus, Georgia.ParticipantsUniversity students (n = 260, mean age 20.5 ± 3.8).AnalysisOne-way ANOVA and independent t-tests were used to test differences in age on alcohol consumption and binge drinking. Chi-Square tests and Fisher's Exact were used to estimate differences in proportions of binge drinking for race and gender.ResultsUnderage students (57.7%) reported having consumed alcohol in the past. Frequency of alcohol consumption increased with age (<i>P</i> = 0.004). Caucasian students reported drinking most frequently, with 14.8% (n = 12) drinking at least once a week, compared to 0 African American students reporting they drank at least once per week (<i>P</i> < 0.001). There were no significant findings when examining differences in binge drinking for demographics assessed in this sample (<i>P</i> > 0.05).Conclusionand Relevance: In this cross-sectional research study, the prevalence of underage drinking among college-aged students, there is a need for targeted prevention methods to reduce adverse health outcomes among this vulnerable population.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"564-567"},"PeriodicalIF":2.5,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142455852","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":"Anecdotes <i>are</i> Data: Demystifying Qualitative Research.","authors":"Tsitsi B Masvawure","doi":"10.1177/08901171251332450b","DOIUrl":"https://doi.org/10.1177/08901171251332450b","url":null,"abstract":"","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":"39 4","pages":"680-682"},"PeriodicalIF":2.5,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143957818","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":"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":"561-563"},"PeriodicalIF":2.5,"publicationDate":"2025-05-01","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}
Adam Williams, Derek R Slagle, Robert J Blankenberger, Brittany M Slagle, Thomas Wuerzer
{"title":"Comparing Cisgender and Trans-spectrum Postsecondary Student Alcohol and Substance Use: Results From the Arkansas Collegiate Substance Use Assessment.","authors":"Adam Williams, Derek R Slagle, Robert J Blankenberger, Brittany M Slagle, Thomas Wuerzer","doi":"10.1177/08901171241307423","DOIUrl":"10.1177/08901171241307423","url":null,"abstract":"<p><p>PurposeExamine self-reported substance use of cisgender and trans-spectrum students.DesignObservational Study, cross-sectional design.SettingArkansas post-secondary institutions.SubjectsActive students enrolled in 2021, sample responses n = 3659.Measures9 Demographics, 13 recent substance use outcomes, 1 weekly alcohol use outcome, and 1 COVID-related substance use outcome.AnalysisDemographic and geospatial descriptives; <i>t</i> test/Cohen's d effect size; X2 Test for Independence/Cramer's V effect size; OLS Regression/Standardized Beta coefficients/Adjusted R2 effect sizes; level of significance = .05.ResultsTrans-spectrum students are 1.8% of the sampled responses (n = 3315) with geographical variation. Weekly alcohol consumption is greater with trans-spectrum (MD = 0.74, d = .102), along with frequency of recent use of marijuana (V = .113), cocaine (V = .097), sedatives (V = .098), hallucinogens (V = .127), designer drugs (V = .087), and meth (V = .151). Suicidal thoughts (V = .112) and attempted suicide (V = .118) are greater and COVID increased use of substances (29.3% for trans-spectrum v 13.7% for cisgender, V = .073). Gender (B = .099), family history (B = .092), and campus policies (B = .084) impact weekly alcohol consumption (<i>P</i> < .001, R2 = .024).Discussion/ConclusionsTrans-spectrum students report higher usage rates, suicidal thoughts, and COVID impacts on usage. Family history and campus policies also show impact on weekly alcohol use. Future postsecondary substance use assessments should include trans-spectrum demographic categories.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"658-663"},"PeriodicalIF":2.5,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142826928","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":"10.1177/08901171251333547","DOIUrl":"https://doi.org/10.1177/08901171251333547","url":null,"abstract":"","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":"39 4","pages":"553-560"},"PeriodicalIF":2.5,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143961585","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}
Mona Pathak, Patricia A Findley, Sophie Mitra, Chan Shen, Hao Wang, R Constance Wiener, Usha Sambamoorthi
{"title":"Association of Marijuana Use With Psychological Distress Among Adults in United States.","authors":"Mona Pathak, Patricia A Findley, Sophie Mitra, Chan Shen, Hao Wang, R Constance Wiener, Usha Sambamoorthi","doi":"10.1177/08901171241307431","DOIUrl":"10.1177/08901171241307431","url":null,"abstract":"<p><p>PurposeDetermine the association of marijuana use with serious psychological distress (SPD) among adults aged 18 years or older using a large, nationally representative sample of US households.DesignCross-sectional analysis.SettingData from the National Survey on Drug Use and Health, 2021.Subjects47,247 respondents representing 253.7 million adults (age>18 years) in the US.MeasuresMarijuana use was categorized as (1) None, (2) within the past month, (3) within 1 year, and (4) more than a year ago from the interview time. SPD was measured with the Kessler-6 distress scale.AnalysisBivariable and multivariable logistic regression analyses accounting for complex survey designs were conducted.ResultsAmong adults in the US, 50.9% never used marijuana, 13.7%, 6.0%, and 29.4% reported marijuana use in the past month, in the past year, and more than a year ago, respectively. Individuals using marijuana within the past month, within a year, and more than a year ago reported higher past month SPD (15.3%, 13.5%, and 6.8%, respectively) than never-users (4.9%). Adjusted logistic regression analysis revealed that marijuana use in the past month, past year (1-12 months), and over a year ago is associated with higher SPD (AOR [95% CI] = 2.06 [1.72, 2.45]; 1.82 [1.50, 2.21]; 1.53 [1.26, 1.87], respectively) compared to no marijuana use.ConclusionAdults who used marijuana more recently were more likely to report SPD.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"609-618"},"PeriodicalIF":2.5,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142817054","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}
Rachel Sauls, Shreya Thakkar, Briana Evers, Alexander Yates, Nhan Tran, Mark Latif, Kelly Johnson, Michelle K Alencar
{"title":"Health and Wellness Coaching Can Improve Tobacco Quit Rates and Weight Management Efforts in an Employee Population.","authors":"Rachel Sauls, Shreya Thakkar, Briana Evers, Alexander Yates, Nhan Tran, Mark Latif, Kelly Johnson, Michelle K Alencar","doi":"10.1177/08901171241302926","DOIUrl":"10.1177/08901171241302926","url":null,"abstract":"<p><p>PurposeThis study aims to investigate gender differences in tobacco quit rates and weight gain among employees undergoing a cessation program with a health and wellness coach.DesignThis project was a retrospective observational study of an employee population.SettingAll data were collected during health coaching sessions by nationally certified health coaches.Subjects211 men and women (116 males, 95 females, age 51.3 ± 9.9 years) enrolled in a Tobacco cessation health coaching program (TCHC) between January 2020 and December 2021.MeasuresData were compared between genders for quit rate, weight, body mass index (BMI), and nicotine replacement therapy (NRT) usage across 12-month follow-ups.AnalysisDescriptive statistics, repeated measures ANOVA, and independent samples t-test.ResultsSignificantly more men than women successfully quit by the goal date set with their coach (<i>P</i> < 0.05). There was a significant reduction in tobacco use across 12 months, leading to the participant's quit date (<i>P</i> < 0.001). Women (Weight lost ± SD= 1.49 lbs. ±16.06 lbs.) lost significantly more weight than men (0.7 lbs. ± 8.5 lbs.; <i>P</i> < 0.001). NRT users lost significantly more weight than non-users (<i>P</i> = .007).ConclusionHealth and wellness coaching was effective for participants to successfully stop tobacco use while in this program by their quit date. The coaching program also elicited weight loss while achieving smoking cessation for both men and women.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"568-573"},"PeriodicalIF":2.5,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142692570","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}