{"title":"Driving Better Health: Promoting Healthy Lifestyle Behaviors in Commercial Drivers.","authors":"Mary T Imboden","doi":"10.1177/08901171261462596","DOIUrl":"10.1177/08901171261462596","url":null,"abstract":"","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"898-901"},"PeriodicalIF":2.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148381421","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":"Improving Health Outcomes and Certification Rates Among Commercial Drivers: Evaluation of a Targeted Wellness Intervention.","authors":"Bob Perry","doi":"10.1177/08901171261462597","DOIUrl":"10.1177/08901171261462597","url":null,"abstract":"","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"902-903"},"PeriodicalIF":2.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148381394","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}
Wilson Fandino, Karla Loureiro Loss, Nuno V Gomes, José Armando García Delgado, Julia Daudt de Faro Salamonde, Blanca Bazán-Perkins, Kevin Pacheco-Barrios, Felipe Fregni
{"title":"Association Between Sedentary Behavior and the Development of New-Onset Chronic Pain in Older American Adults: Insights From the Health and Retirement Study.","authors":"Wilson Fandino, Karla Loureiro Loss, Nuno V Gomes, José Armando García Delgado, Julia Daudt de Faro Salamonde, Blanca Bazán-Perkins, Kevin Pacheco-Barrios, Felipe Fregni","doi":"10.1177/08901171251412951","DOIUrl":"10.1177/08901171251412951","url":null,"abstract":"<p><p>PurposeExplore the causal relationship between sedentary behavior (SB) and the new onset of chronic pain (NOCP) in Americans aged ≥50 years.DesignRetrospective secondary data analysis.Setting/SampleIn a target trial emulation framework, a dataset comprising four consecutive waves (2012, 2014, 2016, and 2018) from the longitudinal Health and Retirement Study was investigated.Measures/AnalysisUnivariable and multivariable analyses were conducted using survey-weighted, mixed-effects Poisson regression models with one-level random intercepts and linearized standard errors. Using the same approach, causal mediation analyses were carried out to examine the potential role of obesity, depression, and sleep disturbances as mediators in the relationship between SB and NOCP. The role of education level, race, and sex as potential effect modifiers was also evaluated.ResultsIn the multivariable analysis, the risk of NOCP in participants who reported not having pain in the 2012 interview increased by 22% in those with SB vs those reporting no SB (95% CI = 1.12, 1.33; <i>P</i> < .001). The mediation effect attributed to obesity and depression was 58.2% (95% CI = 50.5, 71.3; <i>P</i> < .001) and 8.8% (95% CI = 1.6, 14.1; <i>P</i> < .001), respectively. The risk of NOCP in participants reporting SB was increased by 24.8% in women vs men (incidence rate ratio 1.25; 95% CI = 1.02, 1.52; <i>P</i> = .03).ConclusionThere is strong evidence for an association between SB and NOCP in the American subpopulation of women aged <math><mrow><mo>≥</mo></mrow></math>50 years. This effect seems to be mainly mediated by obesity.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"820-831"},"PeriodicalIF":2.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13365315/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145848692","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}
Preethi Pratap, Noorulain Arif, Supri Sama, Bruce W Sherman, Emily Stiehl
{"title":"Workplace Culture of Health and Health Equity: Disconnect in Perceptions Among Leaders and Low-Wage Employees.","authors":"Preethi Pratap, Noorulain Arif, Supri Sama, Bruce W Sherman, Emily Stiehl","doi":"10.1177/08901171251413225","DOIUrl":"10.1177/08901171251413225","url":null,"abstract":"<p><p>PurposeTo compare employee and leadership perceptions of workplace culture of health (CoH) and health equity in a healthcare system.ApproachA qualitative approach was utilized to collect insights through interviews with leaders and focus group discussions with low-wage employees.SettingA mid-Atlantic healthcare system.ParticipantsThis study includes interview participation from 19 leaders ranging from mid-level managers to executive leadership, and focus group participation by 61 low-wage employees from departments including environmental services, security, clinical services, and administrative support.MethodData were collected through semi-structured interviews and focus group discussions. Thematic analysis was used to identify themes regarding perceptions of Culture of Health (CoH), health equity, and barriers to health and well-being (HWB).ResultsLeaders emphasized a holistic approach to HWB and generally focused on health equity in patient services vs employee HWB. Low-wage employees were largely unaware of the terms CoH and health equity, and described \"not feeling valued\" and a lack of connection with organizational values. Leadership noted barriers to operationalizing equitable HWB, including siloed organizational structures and limited data. Communication challenges between leaders and employees were a significant contributor to the apparent disconnect.ConclusionHealth equity should be a foundational consideration for organizational CoH activities. Organizational efforts to address communication barriers can help to ensure that organizational vision and goals are effectively conveyed and demonstrated to low-wage employees.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"861-871"},"PeriodicalIF":2.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145931720","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":"Community-Based Recommendations to Improve Colorectal Cancer Screening: Utilizing the Theory of Planned Behavior to Understand Patient and Provider Perceptions - A Mixed Methods Study in North Dakota.","authors":"Cameryn Ryan, Shawnda Schroeder, Sabha Ganai","doi":"10.1177/08901171261417439","DOIUrl":"10.1177/08901171261417439","url":null,"abstract":"<p><p>PurposeThis study examines community and provider perceptions of colorectal cancer (CRC) screening using the <i>Theory of Planned Behavior</i> (TPB) to identify barriers and interventions for improving screening rates.Approach or DesignA mixed methods research design using focus groups with community members and semi-structured interviews with health care providers in counties with the highest and lowest CRC mortality-to-incidence ratios (MIRs). Data analysis was guided by the TPB.SettingNorth Dakota counties with the highest and lowest CRC MIRs, covering urban and rural populations.ParticipantsTwenty community members aged 50+ (18 women, 2 men) participated in 5 in-person and 3 virtual focus groups. Eight health care providers, including physicians and nurse practitioners, were interviewed virtually.MethodFocus groups and interviews were conducted between summer and fall 2023. Discussions were transcribed, coded, and thematically analyzed using Dedoose, guided by the TPB.ResultsTop barriers included access to screening (total codes, n = 183), fear/stigma (n = 126), provider communication (n = 80), cost (n = 67), and travel (n = 58). Community members relied on social networks over providers for screening decisions. No significant differences emerged between high- and low-MIR counties, nor between rural and urban, indicating systemic rather than geographic barriers.ConclusionFindings suggest improving provider communication, leveraging trusted social networks, addressing stigma, and reducing barriers to screening (eg, cost, transportation). Future interventions should prioritize community-informed health promotion efforts to increase CRC screening rates and improve health equity.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"872-885"},"PeriodicalIF":2.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145958421","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":"Exploring the Relationships Between Social Influence, Vaping Behaviors, and Susceptibility Across Grade Levels in Kentucky.","authors":"Raphael Adesiyan, Odunayo Omotilewa, Saber Feizy, Melinda Ickes","doi":"10.1177/08901171251413763","DOIUrl":"10.1177/08901171251413763","url":null,"abstract":"<p><p>PurposeThis study explored the relationships between social influence, vaping behavior, and susceptibility across different grade levels.DesignThe study design was cross-sectional. Data were collected from middle and high school students who voluntarily participated between September 2022 and April 2023.SampleA convenience sample of students in 6<sup>th</sup> to 12<sup>th</sup> grades in Kentucky (N = 4677).MeasuresDemographic information, including age, grade level, school location, and race/ethnicity, was collected. The outcome variables included social influence, susceptibility, and vaping behavior.AnalysisLogistic regression analysis was used to explore the relationships between social influence, vaping behavior, and susceptibility.ResultsThe analysis showed significant differences in vaping behaviors and susceptibility between middle and high school students, with high school students having higher odds of vaping (OR = 1.58, 95% CI = [1.15, 2.17]). However, after adjusting for covariates, grade level differences were no longer significant (aOR = 1.01, 95% CI = [0.67, 1.51]). The adjusted model showed that youth with 1 vaping friend were 3 times more likely to try vaping (aOR = 2.83, 95% CI = [1.91, 4.22]), while those with 5 vaping friends were over 22 times more likely (aOR = 22.30, 95% CI = [13.34, 37.29]).ConclusionThe results emphasize the need for primary interventions that address social influences on youth vaping initiation and continued use among students across middle and high school grade levels.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"843-851"},"PeriodicalIF":2.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13250487/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145909889","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}
Cheryl Vanderford, Deirdre Dlugonski, Daniel Potter, Johanna M Hoch
{"title":"Physical Activity and Sleep as Predictors of Well-Being in Young Adults.","authors":"Cheryl Vanderford, Deirdre Dlugonski, Daniel Potter, Johanna M Hoch","doi":"10.1177/08901171251409404","DOIUrl":"10.1177/08901171251409404","url":null,"abstract":"<p><p>PurposeTo examine physical activity and sleep as predictors of well-being in young adults and explore differences by sex, age, and student status.Design & SettingA cross-sectional, online survey containing validated questionnaires was utilized to measure self-reported physical activity, sleep, and well-being.SampleParticipants were recruited through local and national recruitment efforts and social media. Of 329 survey respondents, 230 adults (69.9%) aged 18-25 years without current injury or physical activity limitations completed the survey between April 2020 and September 2020.MeasuresQuestionnaires utilized included the Godin Leisure Time Exercise Questionnaire for physical activity, the Pittsburgh Sleep Quality Index for sleep, and the Physical Summary Component and Mental Summary Component of the Modified Disablement in the Physically Active Scale for physical and mental well-being.AnalysisLinear regression models, Welch 2 Sample t-tests, Analysis of Variance, Tukey's Honest Significant Difference tests, chi-square tests of independence, F-tests, and stepwise AIC techniques were utilized in data analyses.ResultsSleep quality was the strongest predictor of mental and physical well-being (Estimate = 0.500, <i>P</i> < .001). While no differences in sleep quality or well-being were identified by sex, age, or student status, physical activity was higher among males and younger participants.ConclusionYoung adulthood is a crucial time to establish healthy physical activity and sleep patterns to promote well-being. Collection of data during the COVID pandemic may limit generalizability of results.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"811-819"},"PeriodicalIF":2.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145817361","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}
Wura Jacobs, Weisiyu Abraham Qin, Afolakemi Olaniyan, Ashley L Merianos
{"title":"Social and Structural Determinants of Single and Polytobacco Use Among United States-Born and Foreign-Born Black Young Adults.","authors":"Wura Jacobs, Weisiyu Abraham Qin, Afolakemi Olaniyan, Ashley L Merianos","doi":"10.1177/08901171251403926","DOIUrl":"10.1177/08901171251403926","url":null,"abstract":"<p><p>PurposeThis study examined nativity differences in social and structural correlates of single and polytobacco product use among United States (U.S.) Black young adults (YA).DesignOnline cross-sectional study.SettingUnited States.SampleU.S.-born and foreign-born Black YA ages 18-25 years (N = 484) living in the U.S.MeasuresSelf-reported past 30-day tobacco product use, safety concerns, and food and housing insecurity measured with the Accountable Health Communities Health-Related Social Needs Screening Tool; experience of racist events measured with the schedule of racist events scale.AnalysisStratified adjusted multinomial logistic regression analyses were conducted. Separate models were constructed for overall sample, U.S.-born YA, and foreign-born YA. All models adjusted for demographic characteristics. Models for foreign-born YA adjusted for length of stay in the U.S.ResultsOverall, 18.8% (CI = 15.6-22.5) and 17.4% (CI = 14.2-21.0) of participants reported single tobacco use and polytobacco use respectively. Among foreign-born participants, exposure to racist events (aOR = 1.06, 95%CI = 1.02-1.11) and housing insecurity (aOR = 1.95, 95%CI = 1.05-3.63) were associated with higher odds of polytobacco use. Among U.S.-born participants, exposure to racist events (aOR = 1.02, 95%CI = 1.001-1.05) and safety concerns (aOR = 3.19, 95%CI = 1.51-6.73) were associated with higher odds of polytobacco use.ConclusionExperience of racist events was associated with polytobacco use among both U.S.-born and foreign-born Black YA. However, different structural determinants were associated with polytobacco use among both groups. Results suggest need for tailored tobacco prevention efforts among Black young adults in the U.S.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"791-801"},"PeriodicalIF":2.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145713056","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}
Stefania Paduano, Daniela Amicizia, Daniele Mancuso, Maria La Torre, Carola Minet, Francesco Paglino, Maria Francesca Piazza, Alberto Sebastiano Carrus, Giulia Pani, Giancarlo Pocetta, Victoria Chirica, Martina Tassini, Palmira Immordino, Claudia Sardu, Alessandra Casuccio, Chiara Lorini
{"title":"Health Promotion in the University Setting: A Scoping Review.","authors":"Stefania Paduano, Daniela Amicizia, Daniele Mancuso, Maria La Torre, Carola Minet, Francesco Paglino, Maria Francesca Piazza, Alberto Sebastiano Carrus, Giulia Pani, Giancarlo Pocetta, Victoria Chirica, Martina Tassini, Palmira Immordino, Claudia Sardu, Alessandra Casuccio, Chiara Lorini","doi":"10.1177/08901171251412956","DOIUrl":"10.1177/08901171251412956","url":null,"abstract":"<p><p>PurposeThis scoping review aimed at describing the health promotion initiatives of universities.Data SourcePubMed, Scopus, Embase, Web of Science.Study Inclusion and Exclusion CriteriaStudies were included if they: (a) explicitly referred to higher education or university; (b) focused on improving the health and well-being of the university community; (c) described a specific health promotion intervention or broader university strategies and policies for health promotion without a specific intervention; (d) were available in full text in English or Italian; (e) were published between 01/01/2015 and 02/04/2024.Data ExtractionThe following data were considered: country in which the study was conducted, target population, number of subjects involved, study design, aim of the study, interventions developed, main results.Data SynthesisA narrative synthesis was conducted.ResultsThirty-six studies were included in the final synthesis; they were mostly conducted in Europe (30.6%) and in the Western Pacific Region (25%). Seven studies described multiple interventions as part of the Health Promoting University network. Eleven studies examined health promotion interventions implemented as part of health-promoting strategies defined at the university level. Mental health and psychological well-being represent the most common area of intervention (52.8%).ConclusionAlthough significant progress has been achieved in implementing health-promoting initiatives within universities, challenges remain regarding the full integration of health promotion into the broader university culture.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"886-897"},"PeriodicalIF":2.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145817316","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}
Bethany Barone Gibbs, Sarah Modlin, Subashan Perera, Alexis N Thrower, Kimberly A Huber, Andrea C Kozai, Jeremy Chiu, David M Haas, Philip Greenland, William A Grobman, Lauren Theilen, Natalie A Cameron, C Noel Bairey Merz, Kara M Whitaker
{"title":"Factors Associated With Leisure Time Physical Activity and Sedentary Behavior in Young Women 2-7 Years After Delivery of a Pregnancy in the nuMoM2b Heart Health Study.","authors":"Bethany Barone Gibbs, Sarah Modlin, Subashan Perera, Alexis N Thrower, Kimberly A Huber, Andrea C Kozai, Jeremy Chiu, David M Haas, Philip Greenland, William A Grobman, Lauren Theilen, Natalie A Cameron, C Noel Bairey Merz, Kara M Whitaker","doi":"10.1177/08901171251413224","DOIUrl":"10.1177/08901171251413224","url":null,"abstract":"<p><p>PurposeIdentify demographic, behavioral lifestyle, psychological, and clinical factors associated with suboptimal activity patterns several years after a first pregnancy and delivery.DesignCross-sectional, secondary analysis.Setting and SampleWomen (n = 2843) from eight U.S. centers assessed 2-7 years after delivery in the nuMom2b Heart Health Study.MeasuresSelf-reported leisure time moderate-to-vigorous intensity physical activity (MVPA) and sedentary behavior (SB) were used to define patterns based on meeting recommendations for MVPA (active at ≥150 minutes/week) and leisure time SB (low SB at ≤3 hours/day). Factors (demographic, behavioral lifestyle, psychological, and clinical) assessed at study visits and hypothesized to be related to MVPA-SB patterns were included.AnalysisMultinomial logistic regression with forward selection identified factors associated with MVPA-SB patterns.ResultsParticipants most frequently reported the optimal active + low SB pattern (37.8%). Modifiable factors significantly associated with suboptimal patterns included lower diet quality (odds ratios [OR] 0.18-0.62; <i>P</i> < 0.001), higher body mass index (BMI) (ORs 1.15-2.49; <i>P</i> = 0.001), less sleep (ORs 1.27-1.46; <i>P</i> = 0.0013), and higher perceived stress (ORs 1.20-1.52, <i>P</i> = 0.0015). Lower income (ORs 0.39-0.60, <i>P</i> = 0.0002), lower education (ORs 0.38-0.40; <i>P</i> = 0.0323) and working/studying full-time (ORs 1.42-1.97, <i>P</i>-0.0021) were also associated with suboptimal patterns.ConclusionsFuture research designing \"sit less, move more\" interventions following pregnancy and delivery could consider simultaneous intervention for modifiable factors and tailored strategies for low income/education and full-time working/student women who may face additional barriers.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":" ","pages":"832-842"},"PeriodicalIF":2.1,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13638264/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145891741","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}