Preventing Chronic Disease最新文献

{"title":"35 Years of Partnership to Advance Cardiovascular Health and Well-Being in American Indian Communities: The Strong Heart Study and Strong Heart Family Study.","authors":"Amanda M Fretts, Jessica A Reese, Ying Zhang","doi":"10.5888/pcd22.250216","DOIUrl":"10.5888/pcd22.250216","url":null,"abstract":"","PeriodicalId":51273,"journal":{"name":"Preventing Chronic Disease","volume":"22 ","pages":"E39"},"PeriodicalIF":4.4,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12249319/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144610278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations Between Screen Time Use and Health Outcomes Among US Teenagers.","authors":"Benjamin Zablotsky, Amanda E Ng, Lindsey I Black, Gelila Haile, Jonaki Bose, Jessica R Jones, Stephen J Blumberg","doi":"10.5888/pcd22.240537","DOIUrl":"10.5888/pcd22.240537","url":null,"abstract":"<p><strong>Introduction: </strong>Associations between screen time and health outcomes among teenagers are well established. However, most studies use parent-reported information, which may misrepresent the magnitude or nature of these associations. In addition, timely nationally representative estimates are needed to correspond with evolving screen use. This study aimed to address these gaps by using data from a nationally representative survey of teenagers.</p><p><strong>Methods: </strong>Data came from the 2021-2023 National Health Interview Survey-Teen (NHIS-Teen), a follow-back web-based survey designed to collect health information directly from teenagers aged 12 to 17 years. NHIS-Teen provides a unique opportunity to assess teenagers' self-reported health in conjunction with a rich set of parent-reported covariates, including family income, from the National Health Interview Survey. This study examines associations between high daily non-schoolwork screen time, defined as 4 or more hours of daily screen time, and adverse health outcomes across the domains of physical activity, sleep, weight, mental health, and perceived support.</p><p><strong>Results: </strong>Teenagers with higher non-schoolwork screen use were more likely to experience a series of adverse health outcomes, including infrequent physical activity, infrequent strength training, being infrequently well-rested, having an irregular sleep routine, weight concerns, depression symptoms, anxiety symptoms, infrequent social and emotional support, and insufficient peer support.</p><p><strong>Conclusion: </strong>Results of this study include associations between high screen time and poor health among teenagers using self-reported data. Future work may further investigate these associations and their underlying mechanisms, including the content viewed on screens and the interactions taking place across screens.</p>","PeriodicalId":51273,"journal":{"name":"Preventing Chronic Disease","volume":"22 ","pages":"E38"},"PeriodicalIF":4.4,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12249308/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144610279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Confronting the Crisis: Actions to Address Maternal Morbidity and Mortality Among Black Women in Rural Georgia.","authors":"Jalen Robinson, Jaliyah Screen, Carey Roth Bayer","doi":"10.5888/pcd22.250125","DOIUrl":"10.5888/pcd22.250125","url":null,"abstract":"","PeriodicalId":51273,"journal":{"name":"Preventing Chronic Disease","volume":"22 ","pages":"E37"},"PeriodicalIF":4.4,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12249275/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144610281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PCD Receives Highest 5-Year Journal Impact Factor in Its History: Celebrating and Building on 20 Years of Success With Release of 6 Collections in 2025.","authors":"Leonard Jack","doi":"10.5888/pcd22.250248","DOIUrl":"10.5888/pcd22.250248","url":null,"abstract":"","PeriodicalId":51273,"journal":{"name":"Preventing Chronic Disease","volume":"22 ","pages":"E40"},"PeriodicalIF":4.4,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12249299/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144610282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bridging the Gap: Promoting Physical Activity in College-Aged Students.","authors":"G Jack Scroggs, Rebecca A Battista, Rebecca M Kappus","doi":"10.5888/pcd22.250118","DOIUrl":"10.5888/pcd22.250118","url":null,"abstract":"","PeriodicalId":51273,"journal":{"name":"Preventing Chronic Disease","volume":"22 ","pages":"E36"},"PeriodicalIF":4.4,"publicationDate":"2025-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12249276/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144610280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mental Health Symptoms and Receipt of Mental Health Care Among US Adults Diagnosed With Kidney Disease.","authors":"Maria A Villarroel, Xun Wang","doi":"10.5888/pcd22.240509","DOIUrl":"10.5888/pcd22.240509","url":null,"abstract":"<p><strong>Introduction: </strong>Nationally representative estimates of mental health symptoms and services in adults with kidney disease are limited. The objective of this study was to examine the mental health status and use of health care among adults with and without kidney disease.</p><p><strong>Methods: </strong>We used data from the 2021 National Health Interview Survey. Diagnosed kidney disease is based on adults who reported ever being told by a doctor or other health professional that they had weak or failing kidneys. The survey question captures data on adults who are aware of having kidney disease and most likely have advanced kidney disease. Mental health measures examined were serious psychological distress (SPD), current symptoms of anxiety and depression, diagnosed anxiety and depressive disorder, prescription medication use for these disorders, and receipt of counseling. We used logistic regression models, with predicted marginal proportions, to calculate unadjusted and adjusted prevalence ratios, controlling for sociodemographic and health characteristics.</p><p><strong>Results: </strong>About 2.9% of adults reported having a diagnosis of kidney disease; prevalence varied by sociodemographic and health characteristics. The prevalence of SPD; current symptoms of anxiety or depression or both; history of diagnosed anxiety or depression or both; and receiving counseling and prescription use for these disorders were higher among adults with kidney disease than among adults without kidney disease. In multivariable models adjusted for sociodemographic and health characteristics, adults with diagnosed kidney disease remained more likely than adults not diagnosed with kidney disease to experience mental health conditions and receive counseling.</p><p><strong>Conclusion: </strong>A survey of the US population found a higher prevalence of poor mental health and receipt of mental health care among people diagnosed with kidney disease than among people not diagnosed with kidney disease.</p>","PeriodicalId":51273,"journal":{"name":"Preventing Chronic Disease","volume":"22 ","pages":"E34"},"PeriodicalIF":4.4,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12249301/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144561863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Chronic Conditions, Multimorbidity, and Health Outcomes Among US Adults.","authors":"Sara D Turbow, Camille P Vaughan","doi":"10.5888/pcd22.250219","DOIUrl":"10.5888/pcd22.250219","url":null,"abstract":"","PeriodicalId":51273,"journal":{"name":"Preventing Chronic Disease","volume":"22 ","pages":"E35"},"PeriodicalIF":3.9,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12335308/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144561860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum, Vol. 21, August 1 Release.","authors":"","doi":"10.5888/pcd22.230444e","DOIUrl":"10.5888/pcd22.230444e","url":null,"abstract":"<p><p>[This corrects the article DOI: 10.5888/pcd21.230444.].</p>","PeriodicalId":51273,"journal":{"name":"Preventing Chronic Disease","volume":"22 ","pages":"E32"},"PeriodicalIF":4.4,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12249277/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144561862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Disparities in Timely Access to Certified Stroke Care Among US Census Tracts, by Prevalence of Health Risk Factors.","authors":"Linda Schieb, Joshua Tootoo, Melissa Fiffer, Michele Casper, Dominique Pierre Zephyr, E Bradshaw Bunney, Marie Lynn Miranda","doi":"10.5888/pcd22.240429","DOIUrl":"10.5888/pcd22.240429","url":null,"abstract":"<p><strong>Introduction: </strong>Timely access to stroke care reduces death and disability due to stroke. Studies have investigated disparities in access by sociodemographic characteristics but not comorbidity prevalence. We used updated data to assess both types of disparities in drive times to certified stroke centers nationwide.</p><p><strong>Methods: </strong>We conducted a cross-sectional spatial analysis of drive time from each contiguous US census tract (N = 72,517), using population-weighted centroids, to any certified stroke care (n = 1,825) or advanced (ie, endovascular-capable) stroke care (n = 426), using 2022 data from multiple state and nationwide databases. We compared median comorbidity prevalence and sociodemographic characteristics for census tracts within versus beyond a 60-minute drive time, using US Centers for Disease Control and Prevention PLACES 2020 data.</p><p><strong>Results: </strong>Median (interquartile range) drive time was 11.8 (7.6-21.6) minutes to any certified stroke care, and 23.0 (12.6-53.9) minutes to advanced stroke care. Approximately 20% of the US adult population (n = 49 million) resided in census tracts beyond a 60-minute drive from advanced stroke care; most (65%) were rural. Census tracts more than 60 minutes from advanced stroke care had significantly higher prevalence of stroke, high blood pressure, coronary heart disease, high cholesterol, diabetes, chronic kidney disease, fair or poor self-rated health status, smoking, and obesity. They also had higher poverty rates, lower educational attainment, lower median income, and higher proportions of non-Hispanic White people and people older than 65 years.</p><p><strong>Conclusion: </strong>Residents in census tracts lacking timely access to stroke care have higher prevalence of health risk factors. The results highlight areas where education, telehealth infrastructure, and facility placement could improve stroke systems of care.</p>","PeriodicalId":51273,"journal":{"name":"Preventing Chronic Disease","volume":"22 ","pages":"E33"},"PeriodicalIF":4.4,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12249332/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144561861","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nutrition Facts Label Use and Adherence to the DASH Dietary Pattern: Results From a National Health and Nutrition Survey.","authors":"Miri Lutski, Aliza H Stark, Rita Dichtiar, Shay Y Lubel, Efrat Monsonego Ornan, Tali Sinai","doi":"10.5888/pcd22.240426","DOIUrl":"10.5888/pcd22.240426","url":null,"abstract":"<p><strong>Introduction: </strong>Whether using nutrition facts labels (NFLs) leads to adherence to higher-quality dietary patterns - such as the Dietary Approaches to Stop Hypertension (DASH) diet, which is associated with lower risk of chronic diseases - is unclear. We investigated whether people aged 21 to 64 years who use NFLs were more likely to adhere to the DASH dietary pattern.</p><p><strong>Methods: </strong>We analyzed data from the nationally representative, cross-sectional Israeli National Health and Nutrition Survey for Adults from 2014-2016. Adherence to the DASH diet was determined from a single 24-hour dietary recall using a DASH score calculated on the basis of adherence to 9 nutrient targets. Multivariable logistic regression was used to estimate odds ratios (ORs) and 95% CIs for DASH accordance (DASH score ≥4.5 [accordant] vs DASH score <4.5 [nonaccordant]) and for each separate nutrient target of the DASH diet.</p><p><strong>Results: </strong>The data set comprised 2,579 participants (NFL users, n = 931 [36.1%]). Of the NFL users, 299 (32.1%) were classified as DASH accordant, compared with 339 (20.6%) of the non-NFL users. After adjusting for potential confounders, the OR for DASH adherence among NFL users was 1.52 (95% CI, 1.20-1.93) compared with non-NFL users. Compared with non-NFL users, NFL users' odds of meeting individual DASH nutrient targets were 1.30 (95% CI, 1.06-1.59) for protein; 1.46 (95% CI, 1.17-1.81) for dietary fiber; 1.48 (95% CI, 1.18-1.85) for magnesium; 1.38 (95% CI, 1.12-1.70) for calcium; and 1.60 (95% CI, 1.30-1.97) for potassium. Age, female sex, and performing recommended physical activity were associated with DASH adherence.</p><p><strong>Conclusion: </strong>These results highlight the importance of nutrition education and awareness, as well as the potential role of NFLs in promoting healthier dietary habits.</p>","PeriodicalId":51273,"journal":{"name":"Preventing Chronic Disease","volume":"22 ","pages":"E31"},"PeriodicalIF":4.4,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12249307/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144509344","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}