American Journal of Health Promotion最新文献

{"title":"The 'Product Environment' is an Important Driver of Health. It's Time to Measure It.","authors":"Sara Singer, Stephen J Downs","doi":"10.1177/08901171231195368","DOIUrl":"10.1177/08901171231195368","url":null,"abstract":"<p><p>Through their products and services, businesses have a meaningful impact on their customers' health. When markets reward products that induce unhealthy behaviors, like poor diet and limited physical activity, they fuel the chronic disease epidemic. For market mechanisms to reward positive, and to punish negative, influences on healthy behaviors, companies' influences will need to be measured. Inspired by the technique of health impact assessment, we propose an approach to measuring these influences, based on examining usage patterns and the activities that result from a given product or service and then mapping those experiences to a core set of health behaviors.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9990937","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":"Living Arrangements Predict Frequent Alcohol Consumption Among University Students: A Retrospective Cohort Study.","authors":"Yuichiro Matsumura, Ryohei Yamamoto, Maki Shinzawa, Naoko Otsuki, Masayuki Mizui, Isao Matsui, Yusuke Sakaguchi, Makoto Nishida, Kaori Nakanishi, Seiko Ide, Chisaki Ishibashi, Takashi Kudo, Keiko Yamauchi-Takihara, Izumi Nagatomo, Toshiki Moriyama","doi":"10.1177/08901171231224882","DOIUrl":"10.1177/08901171231224882","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to confirm the clinical impact of living arrangements on incidence of frequent alcohol consumption in university students.</p><p><strong>Design: </strong>A retrospective cohort study.</p><p><strong>Setting: </strong>A national university in Japan.</p><p><strong>Subjects: </strong>17,774 university students.</p><p><strong>Measures: </strong>The association between living arrangements on admission and the incidence of frequent alcohol consumption (≥4 days/week) was assessed using multivariable-adjusted Cox proportional-hazards models.</p><p><strong>Results: </strong>Among 5,685, 692, and 5,151 male students living with family, living in the dormitory, and living alone, 5.0%, 6.2%, and 5.8% reported frequent alcohol consumption during the median observational period of 3.0 years, respectively. Living in the dormitory and living alone were identified as significant predictors of frequent alcohol consumption (multivariable-adjusted hazard ratios: 1.00 [reference], 1.39 [1.01-1.92], and 1.21 [1.03-1.42], respectively). On the contrary, living arrangements were not associated with the incidence of frequent alcohol consumption among of 6,091 female students, partly because of low incidence of frequent alcohol consumption (2.3%, 1.4%, and 2.6%, respectively).</p><p><strong>Conclusions: </strong>Living arrangements predicted frequent alcohol consumption among male university students, whereas not among female university students.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139039376","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":"Past-Year Mental Illness Diagnosis and E-cigarette Use Status Among a College-Aged Sample: Findings From the National College Health Assessment (2017-2019).","authors":"Elizabeth K Do, Kathleen Aarvig, Gargi Panigrahi, Elizabeth C Hair","doi":"10.1177/08901171231224864","DOIUrl":"10.1177/08901171231224864","url":null,"abstract":"<p><strong>Purpose: </strong>To examine associations between past-year mental illness (MI) diagnoses and e-cigarette use status.</p><p><strong>Design: </strong>Data were obtained from the National College Health Assessment, a nationally recognized cross-sectional survey of university students.</p><p><strong>Setting: </strong>Participants were recruited from 2-year and 4-year public and private universities across the United States from 2017-2019.</p><p><strong>Subjects: </strong>The analytic sample included 277 291 university students.</p><p><strong>Measures: </strong>Self-reported past-year MI diagnosis, binarily coded, served as the primary predictor. The outcome was e-cigarette use status (never, noncurrent, and current user).</p><p><strong>Analysis: </strong>Multinomial logistic regression models were used to estimate relative risk ratios (RRR) of e-cigarette use, as predicted by past-year MI diagnoses, age, race/ethnicity, sex and gender, sexual identity, geographic region, and other combustible tobacco, alcohol, and marijuana use.</p><p><strong>Results: </strong>Compared to those who had never received any MI diagnosis in the past year, those who did had a 16% higher relative risk (RRR = 1.16, 95% CI: 1.11, 1.20) of being a noncurrent e-cigarette user and a 33% higher relative risk (RRR = 1.33, 95% CI: 1.28, 1.38) of being a current e-cigarette user. Schizophrenia, substance use or addiction, bipolar disorder, and attention deficit and hyperactivity disorder (ADHD) diagnoses demonstrated the strongest associations with noncurrent and current e-cigarette use.</p><p><strong>Conclusion: </strong>Results suggest the need to screen young adults for e-cigarette use and mental health indicators to facilitate early detection and timely intervention for at-risk university students.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139037284","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":"Correlates of COVID-19 Information Overload and Information Seeking: Evidence from a Community Survey.","authors":"Masahiro Yamamoto, Archana Krishnan, Annis Golden, Gregory Owen, Lawrence M Schell, Olivia Mata, Elizabeth A Holdsworth","doi":"10.1177/08901171241227302","DOIUrl":"10.1177/08901171241227302","url":null,"abstract":"<p><strong>Purpose: </strong>To examine the relationships among health literacy, risk perceptions, COVID-19 information overload, health information seeking, and race/ethnicity.</p><p><strong>Design: </strong>A cross-sectional non-probability community survey conducted between December 2020 and January 2021. A questionnaire was developed in collaboration with a local minority health task force.</p><p><strong>Setting: </strong>Albany, New York, USA.</p><p><strong>Sample: </strong>331 adults residing in Albany, NY and neighboring areas (80.3% completion rate).</p><p><strong>Measures: </strong>Multi-item scales were used to measure health literacy, perceived severity, perceived susceptibility, information overload, and health information seeking frequency and types.</p><p><strong>Analysis: </strong>We conducted multivariate regression analysis.</p><p><strong>Results: </strong>Health literacy (standardized β = -.33, <i>P</i> < .001) and perceived severity (β = -.23, <i>P</i> < .001) were negatively associated with information overload. Information overload was negatively associated with health information seeking frequency (β = -.16, <i>P</i> < .05) and types (β = -.19, <i>P</i> < .01). A further analysis shows several factors, including information overload and race (African Americans), were negatively related to seeking specific types of information.</p><p><strong>Conclusion: </strong>We find that low health literacy and perceived severity contribute to information overload and that information overload adversely affects health information seeking. Black individuals are less likely to search for certain types of information. The cross-sectional study design limits our ability to determine causality. Future research should employ panel data to determine the directionality of the observed relationships.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139466065","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":"Persistent and Changing Food Insecurity Among Students at a Midwestern University is Associated With Behavioral and Mental Health Outcomes.","authors":"Melissa J Slotnick, Saba Ansari, Lindsey Parnarouskis, Ashley N Gearhardt, Julia A Wolfson, Cindy W Leung","doi":"10.1177/08901171231224102","DOIUrl":"10.1177/08901171231224102","url":null,"abstract":"<p><strong>Purpose: </strong>To assess associations between persistent and changing food insecurity and behavioral and mental health outcomes in college students.</p><p><strong>Design: </strong>Online surveys conducted November 2018 and March 2019 (freshman year), and March 2020 (sophomore year) were used to assess food insecurity, which was then used to create 4 food security transitions: persistent food insecurity, emergent food insecurity, emergent food security, and persistent food security.</p><p><strong>Setting: </strong>Large Midwestern university.</p><p><strong>Sample: </strong>593 students completing all 3 surveys.</p><p><strong>Measures: </strong>Dietary intake and behavioral and mental health outcomes (eating disorders, anxiety, depression, sleep quality) were assessed using validated instruments.</p><p><strong>Analysis: </strong>Associations between food security transitions and dietary intake, behavioral, and mental health outcomes were examined using generalized linear models.</p><p><strong>Results: </strong>Compared to persistent food security, emergent and persistent food insecurity was associated with lower (7% and 13% respectively) intake of fruits and vegetables combined; persistent food insecurity was associated with 17% lower intake of fruits, 6% lower intake of fiber and 10% higher intake of added sugar from beverages. Compared to persistent food secure students, eating disorder symptom risk was higher for emergent food insecure (OR = 7.61, 95% CI: 3.32, 17.48), and persistent food insecure (OR = 6.60, 95% CI: 2.60, 16.72) students; emergent (OR = 2.05, 95% CI: 1.14, 3.71) and persistent (OR = 2.55, 95% CI: 1.34, 4.87) food insecure students had higher odds of poor sleep quality, and persistent food insecure, emergent food insecure, and emergent food secure students had higher odds of anxiety and depression (OR range 2.35-2.85).</p><p><strong>Conclusion: </strong>Food security transitions were associated with aspects of low diet quality and poorer behavioral and mental health outcomes among college students.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11044134/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138827662","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}

{"title":"The Relationship Between Obesity and Internet Addiction in University Students: A Cross-Sectional Study.","authors":"Ülkü Yıldız, Emel Kuruoğlu, Tolga Günvar, Oğulcan Çöme, Vildan Mevsim","doi":"10.1177/08901171241227036","DOIUrl":"10.1177/08901171241227036","url":null,"abstract":"<p><strong>Purpose: </strong>The purpose of this study was to investigate the relationship between obesity and internet addiction in first-year university students (aged 18-25 years).</p><p><strong>Design: </strong>The study was designed using a cross-sectional analytic model.</p><p><strong>Setting: </strong>Data collection took place at Dokuz Eylul University, involving a diverse group of first-year students from different faculties.</p><p><strong>Subjects: </strong>The study population comprised 12,365 students, with 2890 individuals selected using cluster sampling.</p><p><strong>Measures: </strong>Internet addiction was evaluated using the Online Cognition Scale (OCS). Data on obesity-related variables and demographic details were collected through a questionnaire. Descriptive statistics, chi-square analysis, <i>t</i> test, and ANOVA were applied for statistical evaluation.</p><p><strong>Results: </strong>The study included 2105 participants, with 43.8% males and 56.2% females. A significant positive correlation was found between body mass index (BMI) and OCS scores (<i>P</i> = .000), indicating a higher prevalence of internet addiction among individuals with higher BMI. Males had higher mean OCS scores (91.19 ± 35.14) than females (80.21 ± 30.51) (<i>P</i> = .00). Overweight and obese individuals exhibited higher scores on OCS sub-dimensions (<i>P</i> < .005). Notably, individuals with a BMI over 25 were categorized as overweight, and those with a BMI over 30 were classified as obese.</p><p><strong>Conclusions: </strong>The findings demonstrate a noteworthy relationship between internet addiction and obesity among university students. The study emphasizes the necessity of increased attention to this issue in Turkey for the implementation of effective interventions and preventive measures.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10981175/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139416078","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}

{"title":"An Investigation of COVID-19 Outcomes and College Student Demographics: Results from a National Sample.","authors":"Alyssa M Lederer, Mary T Hoban, Christine Kukich","doi":"10.1177/08901171231216532","DOIUrl":"10.1177/08901171231216532","url":null,"abstract":"<p><strong>Purpose: </strong>To assess the effects of COVID-19 on college students and any differential outcomes across collegiate sub-populations towards the beginning of the pandemic.</p><p><strong>Design: </strong>Cross-sectional survey.</p><p><strong>Setting: </strong>Fall 2020 American College Health Association-National College Health Assessment.</p><p><strong>Subjects: </strong>N = 13 373 undergraduate/graduate/professional students; 22 colleges/universities.</p><p><strong>Measures: </strong>Six COVID-19 outcomes; 10 demographics.</p><p><strong>Analysis: </strong>Campus-specific weights for student enrollment/sex distribution. Cross-tabulations/Pearson χ² test; Cramer's V/effect size; Bonferroni multiple testing correction (<i>P</i> < .0009).</p><p><strong>Results: </strong>5.6% of students had been diagnosed with COVID-19. Compared to counterparts within each demographic category, rates were significantly higher among many BIPOC student groups (e.g., Native Hawaiian/Other Pacific Islander: 15.0%); cisgender women (5.9%) and men (5.6%); heterosexuals (6.1%); undergraduates (6.3%); and sorority/fraternity members (13.7%). Due to COVID-19, 8.8% of students had lost a loved one; 14.6% had a loved one with long term effects from COVID; 38.6% had increased stress; 61.4% had more financial concerns; and 52.7% had more difficulty accessing mental healthcare. Students identifying as BIPOC; cisgender women and transgender/gender non-conforming (TGNC); queer-spectrum; undergraduate; first-generation; having a disability; and taking courses online were significantly more affected by most of these outcomes (all comparisons <i>P</i> < .0009).</p><p><strong>Conclusions: </strong>Students were widely impacted by COVID-19 with substantive differences across sub-populations. Future research should examine trends over time and explore ways to reduce health disparities.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138795244","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":"Mindfulness-based Interventions Across the Cancer Continuum in the United States: A Scoping Review.","authors":"Brent Emerson, Menaka Reddy, Paul L Reiter, Abigail B Shoben, Maryanna Klatt, Subhankar Chakraborty, Mira L Katz","doi":"10.1177/08901171241227316","DOIUrl":"10.1177/08901171241227316","url":null,"abstract":"<p><strong>Objective: </strong>To review mindfulness-based interventions (MBIs) tested in randomized controlled trials (RCT) across the cancer continuum.</p><p><strong>Data source: </strong>Articles identified in PubMed, CINAHL, Web of Science, PsycINFO, and Embase.</p><p><strong>Study inclusion and exclusion criteria: </strong>Two independent reviewers screened articles for: (1) topic relevance; (2) RCT study design; (3) mindfulness activity; (4) text availability; (5) country (United States); and (6) mindfulness as the primary intervention component.</p><p><strong>Data extraction: </strong>Twenty-eight RCTs met the inclusion criteria. Data was extracted on the following variables: publication year, population, study arms, cancer site, stage of cancer continuum, participant demographic characteristics, mindfulness definition, mindfulness measures, mindfulness delivery, and behavioral theory.</p><p><strong>Data synthesis: </strong>We used descriptive statistics and preliminary content analysis to characterize the data and identify emerging themes.</p><p><strong>Results: </strong>A definition of mindfulness was reported in 46% of studies and 43% measured mindfulness. Almost all MBIs were tested in survivorship (50%) or treatment (46%) stages of the cancer continuum. Breast cancer was the focus of 73% of cancer-site specific studies, and most participants were non-Hispanic white females.</p><p><strong>Conclusion: </strong>The scoping review identified 5 themes: (1) inconsistency in defining mindfulness; (2) differences in measuring mindfulness; (3) underrepresentation of racial/ethnic minorities; (4) underrepresentation of males and cancer sites other than breast; and (5) the lack of behavioral theory in the design, implementation, and evaluation of the MBI.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139416077","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":"Sleep Duration Is Associated with Household Food Insecurity and Sugar-Sweetened Beverage Intake Among Women, Infants and Children Participating Children Ages 0-5.","authors":"Catherine E Yepez, Christopher E Anderson, Erin Frost, Shannon E Whaley, Maria Koleilat","doi":"10.1177/08901171231225289","DOIUrl":"10.1177/08901171231225289","url":null,"abstract":"<p><strong>Purpose: </strong>To determine associations between child and household characteristics and sleep duration among low-income children in Los Angeles County.</p><p><strong>Design: </strong>Cross-sectional study.</p><p><strong>Setting: </strong>Survey data collected in 2017 and 2020 in Los Angeles County, California.</p><p><strong>Sample: </strong>Special Supplemental Nutrition Program for Women, Infants and Children (WIC) households with children ages 4-60 months.</p><p><strong>Measures: </strong>Sleep duration for children 4-60 months old (less than recommended (LTR), recommended range, more than recommended (MTR)), household food insecurity (HFI), sociodemographics, and daily servings of sugar-sweetened beverages (SSB).</p><p><strong>Analysis: </strong>Multinomial logistic regression, stratified by child age, was used to calculate odds ratios (OR) and 95% confidence intervals (CI) for associations between household/child characteristics and LTR or MTR sleep compared to recommended duration among WIC participating children 4-60 months old.</p><p><strong>Results: </strong>The final sample included 3512 children ages 4-23 months and 6035 children ages 24-60 months. In the study population, 32% (3-5 years old) to 44% (4-11months) of children under 5 did not meet the recommended hours of sleep per night. HFI was associated with higher odds of LTR (OR 1.27, CI 1.12-1.45) and MTR (OR 1.46, CI 1.15-1.87) sleep among 24-60 month-old children. Each additional daily SSB serving was associated with higher odds of LTR sleep (4-23 months: OR 1.10, CI 1.02-1.19; 24-59 months: OR 1.12, CI 1.08-1.17).</p><p><strong>Conclusions: </strong>HFI and SSB intake are associated with not getting the recommended amount of sleep among low-income WIC participating children. Nutrition assistance program participants may benefit from receiving information about recommended sleep duration for young children and how to establish sleep routines to optimize sleep duration.</p>","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139058026","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":"Maintaining Brain Health: An Imperative for Successful Aging and Business Performance.","authors":"Mary Imboden","doi":"10.1177/08901171241232042a","DOIUrl":"10.1177/08901171241232042a","url":null,"abstract":"","PeriodicalId":7481,"journal":{"name":"American Journal of Health Promotion","volume":null,"pages":null},"PeriodicalIF":2.5,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140326143","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}