Pub Date : 2025-02-01DOI: 10.1016/j.amepre.2024.10.021
Samuel J. Mann PhD , Jamie L. Ryan PhD , Harry Barbee PhD
{"title":"Age Profiles of Suicide Attempt Among Sexual Minority Adolescents","authors":"Samuel J. Mann PhD , Jamie L. Ryan PhD , Harry Barbee PhD","doi":"10.1016/j.amepre.2024.10.021","DOIUrl":"10.1016/j.amepre.2024.10.021","url":null,"abstract":"","PeriodicalId":50805,"journal":{"name":"American Journal of Preventive Medicine","volume":"68 2","pages":"Pages 412-414"},"PeriodicalIF":4.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.amepre.2024.10.017
Daniel A. Zaltz PhD, MPH , Brian W. Weir PhD, MHS, MPH , Roni A. Neff PhD, ScM , Sara E. Benjamin-Neelon PhD, JD, RD
Introduction
The purpose of this study was to simulate potential changes in dietary intake and food costs by replacing juice with whole fruit among children ages 1–5 years attending U.S. early care and education settings between 2008 and 2020.
Methods
Estimated mean changes in daily intake of calories, sugar, fiber, calcium, vitamin C and overall food costs under plausible scenarios of replacing juice with whole fruit. Researchers fit hierarchical regression with children nested within early care and education nested within studies, adjusting for potential confounders.
Results
The sample consisted of 6,304 days of direct observation (90% aged 2 years or older, 51% female, 38% Black/African American) in 846 early care and education facilities (73% centers, 75% Child and Adult Care Food Program participants). Replacing juice with whole fruit would reduce energy intake by 8.2–27.3 kcal/day, reduce sugar by 3.4–5.6 g/d, increase fiber by 0.5–1.3 g/d, and have negligible impact on vitamin C and calcium. Replacing juice with whole fruit in early care and education would increase per-child daily food costs between $0.44 and 0.49, representing an increase from 3.8% for juice to approximately 9.8%–10.7% for whole fruit as a percent of total food costs.
Conclusions
Replacing juice with whole fruit in early care and education would result in increased fiber intake and decreased sugar and calories. A policy to replace juice with whole fruit in early care and education would likely cause an increased daily food cost and given the potential broad benefit of this dietary intervention, there may be reason to expand funding within nutrition assistance programs in early care and education.
{"title":"Projected Impact of Replacing Juice With Whole Fruit in Early Care and Education","authors":"Daniel A. Zaltz PhD, MPH , Brian W. Weir PhD, MHS, MPH , Roni A. Neff PhD, ScM , Sara E. Benjamin-Neelon PhD, JD, RD","doi":"10.1016/j.amepre.2024.10.017","DOIUrl":"10.1016/j.amepre.2024.10.017","url":null,"abstract":"<div><h3>Introduction</h3><div>The purpose of this study was to simulate potential changes in dietary intake and food costs by replacing juice with whole fruit among children ages 1–5 years attending U.S. early care and education settings between 2008 and 2020.</div></div><div><h3>Methods</h3><div>Estimated mean changes in daily intake of calories, sugar, fiber, calcium, vitamin C and overall food costs under plausible scenarios of replacing juice with whole fruit. Researchers fit hierarchical regression with children nested within early care and education nested within studies, adjusting for potential confounders.</div></div><div><h3>Results</h3><div>The sample consisted of 6,304 days of direct observation (90% aged 2 years or older, 51% female, 38% Black/African American) in 846 early care and education facilities (73% centers, 75% Child and Adult Care Food Program participants). Replacing juice with whole fruit would reduce energy intake by 8.2–27.3 kcal/day, reduce sugar by 3.4–5.6 g/d, increase fiber by 0.5–1.3 g/d, and have negligible impact on vitamin C and calcium. Replacing juice with whole fruit in early care and education would increase per-child daily food costs between $0.44 and 0.49, representing an increase from 3.8% for juice to approximately 9.8%–10.7% for whole fruit as a percent of total food costs.</div></div><div><h3>Conclusions</h3><div>Replacing juice with whole fruit in early care and education would result in increased fiber intake and decreased sugar and calories. A policy to replace juice with whole fruit in early care and education would likely cause an increased daily food cost and given the potential broad benefit of this dietary intervention, there may be reason to expand funding within nutrition assistance programs in early care and education.</div></div>","PeriodicalId":50805,"journal":{"name":"American Journal of Preventive Medicine","volume":"68 2","pages":"Pages 357-365"},"PeriodicalIF":4.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.amepre.2024.10.009
Sherry Zhang MD , Jeanne A. Darbinian MPH , Louise C. Greenspan MD , Sahar Naderi MD , Nirmala D. Ramalingam MPP , Joan C. Lo MD
Introduction
Polycystic ovary syndrome is associated with hypertension in women, but few population studies have examined findings among adolescents. This retrospective study examines PCOS and hypertensive blood pressure in a large adolescent population receiving routine healthcare.
Methods
Among females aged 13–17 years who had a well-child visit with systolic/diastolic blood pressure measured in a Northern California healthcare system (2013–2019), the outcome of hypertensive blood pressure (≥130/80 mmHg) was examined. Polycystic ovary syndrome was based on clinical diagnosis (ICD-9/10 256.4/E28.2) within 1 year of the visit. Overweight and obesity were defined by BMI 85th to <95th percentile and ≥95th percentile, respectively; 1.7% with underweight (<5th percentile) were excluded. Multivariable logistic regression was used to examine the association of polycystic ovary syndrome and hypertensive blood pressure, adjusting for age, race/ethnicity, BMI category, and estimated neighborhood deprivation index. Analyses were conducted in 2023–2024.
Results
The cohort included 224,418 females (mean age 14.9±1.4 years; 34.3% non-Hispanic White, 30.1% Hispanic, 19.5% Asian/Pacific Islander, and 9.7% Black). Overall, 18.7% had overweight and 15.8% had obesity. The prevalence of hypertensive blood pressure was 7.2%, much higher for those with polycystic ovary syndrome (18.2%) versus no polycystic ovary syndrome (7.1%, p<0.001). In adjusted analyses, polycystic ovary syndrome was associated with 1.25-fold greater odds of hypertensive blood pressure (95% CI=1.10, 1.42). Similar findings were seen among the subset with obesity (OR=1.23 [95% CI=1.06, 1.42]).
Conclusions
Nearly 1 in 5 adolescents with polycystic ovary syndrome had hypertensive blood pressure. Polycystic ovary syndrome was associated with 25% increased adjusted odds of hypertensive blood pressure, emphasizing the importance of blood pressure surveillance in this population with higher cardiometabolic risk.
{"title":"Hypertensive Blood Pressure in Adolescent Females With Polycystic Ovary Syndrome","authors":"Sherry Zhang MD , Jeanne A. Darbinian MPH , Louise C. Greenspan MD , Sahar Naderi MD , Nirmala D. Ramalingam MPP , Joan C. Lo MD","doi":"10.1016/j.amepre.2024.10.009","DOIUrl":"10.1016/j.amepre.2024.10.009","url":null,"abstract":"<div><h3>Introduction</h3><div>Polycystic ovary syndrome is associated with hypertension in women, but few population studies have examined findings among adolescents. This retrospective study examines PCOS and hypertensive blood pressure in a large adolescent population receiving routine healthcare.</div></div><div><h3>Methods</h3><div>Among females aged 13–17 years who had a well-child visit with systolic/diastolic blood pressure measured in a Northern California healthcare system (2013–2019), the outcome of hypertensive blood pressure (≥130/80 mmHg) was examined. Polycystic ovary syndrome was based on clinical diagnosis (ICD-9/10 256.4/E28.2) within 1 year of the visit. Overweight and obesity were defined by BMI 85th to <95th percentile and ≥95th percentile, respectively; 1.7% with underweight (<5th percentile) were excluded. Multivariable logistic regression was used to examine the association of polycystic ovary syndrome and hypertensive blood pressure, adjusting for age, race/ethnicity, BMI category, and estimated neighborhood deprivation index. Analyses were conducted in 2023–2024.</div></div><div><h3>Results</h3><div>The cohort included 224,418 females (mean age 14.9±1.4 years; 34.3% non-Hispanic White, 30.1% Hispanic, 19.5% Asian/Pacific Islander, and 9.7% Black). Overall, 18.7% had overweight and 15.8% had obesity. The prevalence of hypertensive blood pressure was 7.2%, much higher for those with polycystic ovary syndrome (18.2%) versus no polycystic ovary syndrome (7.1%, <em>p</em><0.001). In adjusted analyses, polycystic ovary syndrome was associated with 1.25-fold greater odds of hypertensive blood pressure (95% CI=1.10, 1.42). Similar findings were seen among the subset with obesity (OR=1.23 [95% CI=1.06, 1.42]).</div></div><div><h3>Conclusions</h3><div>Nearly 1 in 5 adolescents with polycystic ovary syndrome had hypertensive blood pressure. Polycystic ovary syndrome was associated with 25% increased adjusted odds of hypertensive blood pressure, emphasizing the importance of blood pressure surveillance in this population with higher cardiometabolic risk.</div></div>","PeriodicalId":50805,"journal":{"name":"American Journal of Preventive Medicine","volume":"68 2","pages":"Pages 408-411"},"PeriodicalIF":4.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142479933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.amepre.2024.10.002
Xing Zhang PhD , Tiffany L. Lemon PhD
Introduction
Although health insurance is a critical tool for well-being across the life course, few studies have explored the long-term health implications of shifts in insurance coverage. This study examined whether changes in insurance types from adolescence to early midlife were associated with early midlife self-rated health.
Methods
This study used data from Wave I (1994–1995; average age 15.7 years), Wave IV (2008–2009; average age 28.7 years), and Wave V (2016–2018; average age 37.6 years) of Add Health, including 6,765 respondents from 1994 to 2018. Logistic regression was used to examine the association between health insurance status from adolescence to early midlife and early midlife self-rated health. The analyses were conducted from March to August 2024.
Results
Relative to having private insurance in adolescence and early midlife, the following health insurance statuses in adolescence and early midlife were significantly associated with poorer early midlife self-rated health: public in adolescence and early midlife (AOR=3.34; 95% CI=1.89, 5.91); uninsured in adolescence to public at early midlife (AOR=3.29; 95% CI=1.85, 5.85); private in adolescence to public at early midlife (AOR=3.36; 95% CI=2.46, 4.58), and private in adolescence to uninsured at early midlife (AOR=1.68; 95% CI=1.10, 2.55).
Conclusions
Health insurance statuses from adolescence to early midlife, specifically having or switching into public insurance, may be associated with poorer health in early midlife among individuals who were adolescents in the early 1990s. More research is needed to explore how insurance reform such as the Children's Health Insurance Program may have mitigated this association in future cohorts.
{"title":"Health Insurance and Self-Rated Health From Adolescence to Early Midlife in the U.S.","authors":"Xing Zhang PhD , Tiffany L. Lemon PhD","doi":"10.1016/j.amepre.2024.10.002","DOIUrl":"10.1016/j.amepre.2024.10.002","url":null,"abstract":"<div><h3>Introduction</h3><div>Although health insurance is a critical tool for well-being across the life course, few studies have explored the long-term health implications of shifts in insurance coverage. This study examined whether changes in insurance types from adolescence to early midlife were associated with early midlife self-rated health.</div></div><div><h3>Methods</h3><div>This study used data from Wave I (1994–1995; average age 15.7 years), Wave IV (2008–2009; average age 28.7 years), and Wave V (2016–2018; average age 37.6 years) of Add Health, including 6,765 respondents from 1994 to 2018. Logistic regression was used to examine the association between health insurance status from adolescence to early midlife and early midlife self-rated health. The analyses were conducted from March to August 2024.</div></div><div><h3>Results</h3><div>Relative to having private insurance in adolescence and early midlife, the following health insurance statuses in adolescence and early midlife were significantly associated with poorer early midlife self-rated health: public in adolescence and early midlife (AOR=3.34; 95% CI=1.89, 5.91); uninsured in adolescence to public at early midlife (AOR=3.29; 95% CI=1.85, 5.85); private in adolescence to public at early midlife (AOR=3.36; 95% CI=2.46, 4.58), and private in adolescence to uninsured at early midlife (AOR=1.68; 95% CI=1.10, 2.55).</div></div><div><h3>Conclusions</h3><div>Health insurance statuses from adolescence to early midlife, specifically having or switching into public insurance, may be associated with poorer health in early midlife among individuals who were adolescents in the early 1990s. More research is needed to explore how insurance reform such as the Children's Health Insurance Program may have mitigated this association in future cohorts.</div></div>","PeriodicalId":50805,"journal":{"name":"American Journal of Preventive Medicine","volume":"68 2","pages":"Pages 257-263"},"PeriodicalIF":4.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142401871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.amepre.2024.10.003
Joseph Carter Powers BA , Michael B. Rothberg MD, MPH , Jeffrey D. Kovach MS , Nicholas J. Casacchia PharmD, MS , Elizabeth Stanley MPH , Kathryn A. Martinez PhD, MPH
Introduction
In 2021, the USPSTF lowered the recommended age of colorectal cancer (CRC) screening initiation from 50 to 45 years. This study assessed clinician response to the updated guideline in a major health system.
Methods
This was a retrospective cohort study of average-risk, CRC screening–naïve adults aged 45–50 years with a primary care appointment between July 2018 and February 2023. The authors defined the pre–guideline change period as July 2018–February 2020 (pre-period) and the post–guideline change period as July 2021–February 2023 (post-period). Clinician ordering of any CRC screening type was assessed. Mixed effects Poisson regression was used to model the incidence rate ratio (IRR) of a patient receiving a screening order, including an interaction between age (45–49 years versus 50 years) and time period (pre- versus post-guideline change.) Variation in screening orders were also described by calendar quarter and clinician.
Results
There were 28,114 patients in the pre-period and 22,509 in the post-period. Compared to patients aged 40–49 years in the pre-period, those in the post-period were more likely to have screening ordered (IRR=12.1; 95% CI=11.3–13.0). The screening ordering rate increased for patients aged 50 years from the pre- to the post-period (IRR=1.08; 95% CI=1.01, 1.16) and was slightly higher than that of patients aged 45–49 years in the post-period (IRR=1.08; 95% CI=1.02, 1.14). All clinicians increased their ordering rate for patients aged 45–49 years. Within 5 months of the guideline change, the ordering rate for patients aged 45–49 years and 50 years was nearly the same.
Conclusions
Rapidly following the guideline change, clinicians increased their screening ordering rate for patients aged 45–49 years, indicating almost complete uptake of the recommendation.
{"title":"Clinician Response to the 2021 USPSTF Recommendation for Colorectal Cancer Screening in Average Risk Adults Aged 45–49 Years","authors":"Joseph Carter Powers BA , Michael B. Rothberg MD, MPH , Jeffrey D. Kovach MS , Nicholas J. Casacchia PharmD, MS , Elizabeth Stanley MPH , Kathryn A. Martinez PhD, MPH","doi":"10.1016/j.amepre.2024.10.003","DOIUrl":"10.1016/j.amepre.2024.10.003","url":null,"abstract":"<div><h3>Introduction</h3><div>In 2021, the USPSTF lowered the recommended age of colorectal cancer (CRC) screening initiation from 50 to 45 years. This study assessed clinician response to the updated guideline in a major health system.</div></div><div><h3>Methods</h3><div>This was a retrospective cohort study of average<strong>-</strong>risk, CRC screening–naïve adults aged 45–50 years with a primary care appointment between July 2018 and February 2023. The authors defined the pre–guideline change period as July 2018–February 2020 (pre-period) and the post–guideline change period as July 2021–February 2023 (post-period). Clinician ordering of any CRC screening type was assessed. Mixed effects Poisson regression was used to model the incidence rate ratio (IRR) of a patient receiving a screening order, including an interaction between age (45–49 years versus 50 years) and time period (pre- versus post-guideline change.) Variation in screening orders were also described by calendar quarter and clinician.</div></div><div><h3>Results</h3><div>There were 28,114 patients in the pre-period and 22,509 in the post-period. Compared to patients aged 40–49 years in the pre-period, those in the post-period were more likely to have screening ordered (IRR=12.1; 95% CI=11.3–13.0). The screening ordering rate increased for patients aged 50 years from the pre- to the post-period (IRR=1.08; 95% CI=1.01, 1.16) and was slightly higher than that of patients aged 45–49 years in the post-period (IRR=1.08; 95% CI=1.02, 1.14). All clinicians increased their ordering rate for patients aged 45–49 years. Within 5 months of the guideline change, the ordering rate for patients aged 45–49 years and 50 years was nearly the same.</div></div><div><h3>Conclusions</h3><div>Rapidly following the guideline change, clinicians increased their screening ordering rate for patients aged 45–49 years, indicating almost complete uptake of the recommendation.</div></div>","PeriodicalId":50805,"journal":{"name":"American Journal of Preventive Medicine","volume":"68 2","pages":"Pages 264-271"},"PeriodicalIF":4.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142479929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.amepre.2024.09.018
Nicholas A. Carlisle JD, Melissa Bradley MPH, Peter S. Hendricks PhD, Sarah MacCarthy ScD
{"title":"Letter to the Editor in Response to “Psychedelic Use by Sexual Minority Adults in the United States, 2022”","authors":"Nicholas A. Carlisle JD, Melissa Bradley MPH, Peter S. Hendricks PhD, Sarah MacCarthy ScD","doi":"10.1016/j.amepre.2024.09.018","DOIUrl":"10.1016/j.amepre.2024.09.018","url":null,"abstract":"","PeriodicalId":50805,"journal":{"name":"American Journal of Preventive Medicine","volume":"68 2","pages":"Pages 422-424"},"PeriodicalIF":4.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143029744","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.amepre.2024.10.014
Darla E. Kendzor PhD , Morgan Davie BS , Meng Chen PhD , Jonathan Hart PhD , Summer G. Frank-Pearce PhD , Mark P. Doescher MD , Adam C. Alexander PhD , Michael S. Businelle PhD , Motolani E. Ogunsanya DPh, PhD , Munjireen S. Sifat PhD , Laili Kharazi Boozary PhD
Introduction
Persistent poverty counties (PPCs) are U.S. counties where ≥20% of residents have lived in poverty for ≥30 years. Cancer mortality rates in PPCs are exceptionally high due, in part, to elevated smoking rates.
Study Design
The study used a parallel 2-group randomized controlled trial design.
Setting/participants
Participants were Oklahoma Tobacco Helpline (OTH) callers from PPCs who smoked daily (N=165). Data were collected in 2022–2023.
Intervention
Participants were randomized to received OTH treatment (coaching calls plus nicotine replacement therapy [NRT]) or OTH treatment + financial incentives (OTH+FI) for completing coaching calls.
Main Outcome Measures
Outcome measures included the number of coaching calls completed, call-contingent incentives earned, past 7-day self-reported abstinence rates, and study retention at 8- and 12-weeks post-enrollment.
Results
Participants (N=165) were predominantly female (63.6%), 24.2% were racially/ethnically minoritized (18.2% single- or multi-race American Indian), and they smoked an average of 21.01 (SD=11.67) cigarettes per day. Adjusted analyses indicated that participants assigned to OTH+FI were significantly more likely than those assigned to OTH to report past 7-day abstinence at the 8-week (AOR=2.28; 95% CI=1.18, 4.48) and 12-week (AOR=2.00; 95% CI=1.03, 3.96) follow-ups when missing outcomes were considered smoking. Participants assigned to OTH+FI were more likely to complete ≥3 coaching calls (AOR=3.64; 95% CI=1.84, 7.43), and they completed more total calls (aRR=1.53; 95% CI,=1.24, 1.90) than those assigned to OTH. The number of coaching calls completed significantly mediated the relationship between treatment group assignment and abstinence at the 8- and 12-week follow-ups. Overall, study retention was >83% at the 8- and 12-week follow-ups and did not differ between groups. Statistical analyses were conducted in 2024.
Conclusions
Findings support the feasibility and efficacy of offering small FI for completing OTH coaching calls to increase treatment engagement and smoking cessation in PPCs.
{"title":"Incentivizing Tobacco Helpline Engagement in Persistent Poverty Counties: A Randomized Trial","authors":"Darla E. Kendzor PhD , Morgan Davie BS , Meng Chen PhD , Jonathan Hart PhD , Summer G. Frank-Pearce PhD , Mark P. Doescher MD , Adam C. Alexander PhD , Michael S. Businelle PhD , Motolani E. Ogunsanya DPh, PhD , Munjireen S. Sifat PhD , Laili Kharazi Boozary PhD","doi":"10.1016/j.amepre.2024.10.014","DOIUrl":"10.1016/j.amepre.2024.10.014","url":null,"abstract":"<div><h3>Introduction</h3><div>Persistent poverty counties (PPCs) are U.S. counties where ≥20% of residents have lived in poverty for ≥30 years. Cancer mortality rates in PPCs are exceptionally high due, in part, to elevated smoking rates.</div></div><div><h3>Study Design</h3><div>The study used a parallel 2-group randomized controlled trial design.</div></div><div><h3>Setting/participants</h3><div>Participants were Oklahoma Tobacco Helpline (OTH) callers from PPCs who smoked daily (<em>N</em>=165). Data were collected in 2022–2023.</div></div><div><h3>Intervention</h3><div>Participants were randomized to received OTH treatment (coaching calls plus nicotine replacement therapy [NRT]) or OTH treatment + financial incentives (OTH+FI) for completing coaching calls.</div></div><div><h3>Main Outcome Measures</h3><div>Outcome measures included the number of coaching calls completed, call-contingent incentives earned, past 7-day self-reported abstinence rates, and study retention at 8- and 12-weeks post-enrollment.</div></div><div><h3>Results</h3><div>Participants (N=165) were predominantly female (63.6%), 24.2% were racially/ethnically minoritized (18.2% single- or multi-race American Indian), and they smoked an average of 21.01 (SD=11.67) cigarettes per day. Adjusted analyses indicated that participants assigned to OTH+FI were significantly more likely than those assigned to OTH to report past 7-day abstinence at the 8-week (AOR=2.28; 95% CI=1.18, 4.48) and 12-week (AOR=2.00; 95% CI=1.03, 3.96) follow-ups when missing outcomes were considered smoking. Participants assigned to OTH+FI were more likely to complete ≥3 coaching calls (AOR=3.64; 95% CI=1.84, 7.43), and they completed more total calls (aRR=1.53; 95% CI,=1.24, 1.90) than those assigned to OTH. The number of coaching calls completed significantly mediated the relationship between treatment group assignment and abstinence at the 8- and 12-week follow-ups. Overall, study retention was >83% at the 8- and 12-week follow-ups and did not differ between groups. Statistical analyses were conducted in 2024.</div></div><div><h3>Conclusions</h3><div>Findings support the feasibility and efficacy of offering small FI for completing OTH coaching calls to increase treatment engagement and smoking cessation in PPCs.</div></div>","PeriodicalId":50805,"journal":{"name":"American Journal of Preventive Medicine","volume":"68 2","pages":"Pages 336-347"},"PeriodicalIF":4.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.amepre.2024.10.001
Tonia C. Poteat PhD, PA-C , Molly Ehrig MB , Hedyeh Ahmadi PhD , Mannat Malik MHS , Sari L. Reisner ScD , Asa E. Radix MD, PhD , Jowanna Malone PhD , Christopher Cannon MPH , Carl G. Streed Jr. MD, MPH , Mabel Toribio MD , Christopher Cortina MS , Ashleigh Rich PhD , Kenneth H. Mayer MD , L. Zachary DuBois PhD , Robert-Paul Juster PhD , Andrea L. Wirtz PhD , Krista M. Perreira PhD
Introduction
Cardiovascular disease (CVD) is a leading cause of death among transgender women and people with HIV. Exogenous estrogen and psychosocial stressors are known risk factors for CVD. Yet, few studies have used biomarkers to examine the role of stress in CVD risk among transgender women with HIV (TWHIV). This analysis examined whether stress moderates relationships between gender-affirming hormone therapy (GAHT) duration and CVD risk among TWHIV.
Methods
This cross-sectional analysis of baseline data from an observational cohort of 108 Black and Latina TWHIV in Boston, New York, and Washington, DC, enrolled December 2020 to June 2022, measured sociodemographics, medical diagnoses, medications, smoking history, and perceived stress via interviewer-administered surveys. Physiological stress was measured with 14 biomarkers to calculate allostatic load indices (ALI). Forty participants provided saliva samples used to calculate cortisol awakening response and cortisol daily decline. The 2018 American College of Cardiology Revised Pooled Cohort Equation estimated 10-year CVD risk. Data were analyzed in 2024.
Results
GAHT duration was positively associated with CVD risk scores in bivariate regression. In multivariable linear regression models (adjusting for age, income, education), only age and ALI remained significantly associated with CVD risk scores (β 1.13, CI: 1.05, 1.21). No stress measure significantly interacted with GAHT duration to affect CVD risk scores. In visual plots, GAHT duration increased CVD risk scores only for TWHIV experiencing the highest ALI.
Conclusions
Stress plays an important role in CVD in TWHIV. More research is needed on non-GAHT factors, which influence CVD health among transgender women.
{"title":"Hormones, Stress, and Heart Disease in Transgender Women with HIV in LITE Plus","authors":"Tonia C. Poteat PhD, PA-C , Molly Ehrig MB , Hedyeh Ahmadi PhD , Mannat Malik MHS , Sari L. Reisner ScD , Asa E. Radix MD, PhD , Jowanna Malone PhD , Christopher Cannon MPH , Carl G. Streed Jr. MD, MPH , Mabel Toribio MD , Christopher Cortina MS , Ashleigh Rich PhD , Kenneth H. Mayer MD , L. Zachary DuBois PhD , Robert-Paul Juster PhD , Andrea L. Wirtz PhD , Krista M. Perreira PhD","doi":"10.1016/j.amepre.2024.10.001","DOIUrl":"10.1016/j.amepre.2024.10.001","url":null,"abstract":"<div><h3>Introduction</h3><div>Cardiovascular disease (CVD) is a leading cause of death among transgender women and people with HIV. Exogenous estrogen and psychosocial stressors are known risk factors for CVD. Yet, few studies have used biomarkers to examine the role of stress in CVD risk among transgender women with HIV (TWHIV). This analysis examined whether stress moderates relationships between gender-affirming hormone therapy (GAHT) duration and CVD risk among TWHIV.</div></div><div><h3>Methods</h3><div>This cross-sectional analysis of baseline data from an observational cohort of 108 Black and Latina TWHIV in Boston, New York, and Washington, DC, enrolled December 2020 to June 2022, measured sociodemographics, medical diagnoses, medications, smoking history, and perceived stress via interviewer-administered surveys. Physiological stress was measured with 14 biomarkers to calculate allostatic load indices (ALI). Forty participants provided saliva samples used to calculate cortisol awakening response and cortisol daily decline. The 2018 American College of Cardiology Revised Pooled Cohort Equation estimated 10-year CVD risk. Data were analyzed in 2024.</div></div><div><h3>Results</h3><div>GAHT duration was positively associated with CVD risk scores in bivariate regression. In multivariable linear regression models (adjusting for age, income, education), only age and ALI remained significantly associated with CVD risk scores (<em>β</em> 1.13, CI: 1.05, 1.21). No stress measure significantly interacted with GAHT duration to affect CVD risk scores. In visual plots, GAHT duration increased CVD risk scores only for TWHIV experiencing the highest ALI.</div></div><div><h3>Conclusions</h3><div>Stress plays an important role in CVD in TWHIV. More research is needed on non-GAHT factors, which influence CVD health among transgender women.</div></div>","PeriodicalId":50805,"journal":{"name":"American Journal of Preventive Medicine","volume":"68 2","pages":"Pages 245-256"},"PeriodicalIF":4.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142401872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-02-01DOI: 10.1016/j.amepre.2024.10.006
Neika Sharifian PhD , Cynthia A. LeardMann MPH , Claire A. Kolaja MPH , Anna Baccetti MPH , Felicia R. Carey PhD , Sheila F. Castañeda PhD , Charles W. Hoge MD , Rudolph P. Rull PhD , Millennium Cohort Study Team
Introduction
Although posttraumatic stress disorder (PTSD) and depression are prominent mental health conditions affecting United States service members, only a subset of individuals with these conditions utilize mental healthcare services. Identifying factors associated with mental healthcare utilization may elucidate military subgroups with unmet mental healthcare needs.
Methods
Cross-sectional survey data from the 2019–2021 Millennium Cohort Study assessment were used to examine correlates of unmet mental healthcare needs among military personnel who screened positive for PTSD or depression symptoms (n=18,420) using modified Poisson regression models. Data analyses for this study were conducted between 2023 and 2024.
Results
Approximately 32%–43% of service members reported receiving any mental health care in the past 12 months. Hispanic and Asian or Pacific Islander personnel and those with certain service characteristics (higher pay grade, recent deployment, experienced discrimination) had a lower likelihood of mental healthcare utilization. Female sex, greater symptom severity, experiencing bullying, and other psychosocial factors were associated with greater likelihood of mental healthcare utilization.
Conclusions
One third of service members with PTSD or depression symptoms reported any mental healthcare use, highlighting the need to identify factors that may impede or delay treatment. Racial and ethnic disparities in treatment utilization persist, as do differences in utilization by military characteristics. Further research and initiatives are necessary to identify potential service-specific or cultural barriers and provide equitable quality and access to needed mental health services within the Military Health System.
{"title":"Factors Associated With Mental Healthcare Utilization Among United States Military Personnel With Posttraumatic Stress Disorder or Depression Symptoms","authors":"Neika Sharifian PhD , Cynthia A. LeardMann MPH , Claire A. Kolaja MPH , Anna Baccetti MPH , Felicia R. Carey PhD , Sheila F. Castañeda PhD , Charles W. Hoge MD , Rudolph P. Rull PhD , Millennium Cohort Study Team","doi":"10.1016/j.amepre.2024.10.006","DOIUrl":"10.1016/j.amepre.2024.10.006","url":null,"abstract":"<div><h3>Introduction</h3><div>Although posttraumatic stress disorder (PTSD) and depression are prominent mental health conditions affecting United States service members, only a subset of individuals with these conditions utilize mental healthcare services. Identifying factors associated with mental healthcare utilization may elucidate military subgroups with unmet mental healthcare needs.</div></div><div><h3>Methods</h3><div>Cross-sectional survey data from the 2019–2021 Millennium Cohort Study assessment were used to examine correlates of unmet mental healthcare needs among military personnel who screened positive for PTSD or depression symptoms (<em>n</em>=18,420) using modified Poisson regression models. Data analyses for this study were conducted between 2023 and 2024.</div></div><div><h3>Results</h3><div>Approximately 32%–43% of service members reported receiving any mental health care in the past 12 months. Hispanic and Asian or Pacific Islander personnel and those with certain service characteristics (higher pay grade, recent deployment, experienced discrimination) had a lower likelihood of mental healthcare utilization. Female sex, greater symptom severity, experiencing bullying, and other psychosocial factors were associated with greater likelihood of mental healthcare utilization.</div></div><div><h3>Conclusions</h3><div>One third of service members with PTSD or depression symptoms reported any mental healthcare use, highlighting the need to identify factors that may impede or delay treatment. Racial and ethnic disparities in treatment utilization persist, as do differences in utilization by military characteristics. Further research and initiatives are necessary to identify potential service-specific or cultural barriers and provide equitable quality and access to needed mental health services within the Military Health System.</div></div>","PeriodicalId":50805,"journal":{"name":"American Journal of Preventive Medicine","volume":"68 2","pages":"Pages 289-299"},"PeriodicalIF":4.3,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142479932","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}