JAMA Pediatrics最新文献

{"title":"Further Considerations on Adverse Childhood Experiences and Neurocognitive Development.","authors":"Lisa Vitte, Gisèle Apter, Emmanuel Devouche","doi":"10.1001/jamapediatrics.2024.3417","DOIUrl":"https://doi.org/10.1001/jamapediatrics.2024.3417","url":null,"abstract":"","PeriodicalId":14683,"journal":{"name":"JAMA Pediatrics","volume":null,"pages":null},"PeriodicalIF":24.7,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142154113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Further Considerations on Adverse Childhood Experiences and Neurocognitive Development-Reply.","authors":"Jing Yu, Denise L Haynie, Stephen E Gilman","doi":"10.1001/jamapediatrics.2024.3411","DOIUrl":"https://doi.org/10.1001/jamapediatrics.2024.3411","url":null,"abstract":"","PeriodicalId":14683,"journal":{"name":"JAMA Pediatrics","volume":null,"pages":null},"PeriodicalIF":24.7,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142154114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Anxiety and Depression in Youth With Chronic Pain: A Systematic Review and Meta-Analysis.","authors":"Joanne Dudeney, Rachel V Aaron, Taylor Hathway, Kavya Bhattiprolu, Madelyne A Bisby, Lakeya S McGill, Milena Gandy, Nicole Harte, Blake F Dear","doi":"10.1001/jamapediatrics.2024.3039","DOIUrl":"https://doi.org/10.1001/jamapediatrics.2024.3039","url":null,"abstract":"<p><strong>Importance: </strong>For youth with chronic pain, anxiety and depression are reported as consequences of experiencing pain and maintaining factors of ongoing pain and disability. However, prevalence estimates of anxiety and depression remain unclear.</p><p><strong>Objective: </strong>To report the prevalence of clinical anxiety and depression for youth with chronic pain and compare symptoms of anxiety and depression between youth with and without chronic pain.</p><p><strong>Data sources: </strong>MEDLINE, PsycINFO, CENTRAL, and Embase from inception to April 30, 2023.</p><p><strong>Study selection: </strong>Included studies that reported prevalence data or symptom scores for anxiety and/or depression in individuals younger than 25 years (mean, ≤18 years) with chronic pain and were published in English.</p><p><strong>Data extraction and synthesis: </strong>From 9648 nonduplicate records, 801 full-text articles were screened. Screening and data extraction occurred in duplicate. Prevalence was determined using event rate calculations. Between-group symptom differences were calculated using Hedges g. Analyses were conducted using the random-effects model. Reporting bias and Grading of Recommendation, Assessment, Development, and Evaluation assessments were conducted.</p><p><strong>Main outcomes and measures: </strong>Prevalence of anxiety and depression (based on diagnosis and clinical cutoff scores) and differences in anxiety and depression symptoms. Moderators of prevalence and symptom differences were analyzed when data allowed.</p><p><strong>Results: </strong>A total of 79 studies were included with a total sample of 22 956 youth (n = 12 614 with chronic pain). Most youth were female (mean, 74%), with an age range of 4 to 24 (mean [SD], 13.7 [2.10]) years. The prevalence estimate of anxiety diagnoses was 34.6% (95% CI, 24.0%-47.0%) and the portion that exceeded clinical cutoff scores was 23.9% (95% CI, 18.3%-30.6%). The prevalence of depression diagnoses was 12.2% (95% CI, 7.8%-18.7%) and the portion that exceeded clinical cutoff scores was 23.5% (95% CI, 18.7%-29.2%). Youth with chronic pain had greater symptoms of anxiety (g = 0.61; 95% CI, 0.46-0.77) and depression (g = 0.74; 95% CI, 0.63-0.85) compared with controls. Sex, age, pain location, and recruitment sample may moderate anxiety and depression. Considerable heterogeneity was reported for all outcomes. Studies had a low reporting bias, and outcomes were moderate to high quality.</p><p><strong>Conclusions and relevance: </strong>The findings of this meta-analysis suggest that 1 in 3 youth with chronic pain meet criteria for anxiety disorder, and 1 in 8 meet criteria for a depressive disorder. This represents a major clinical comorbidity. Moving forward, screening, prevention, and treatment of mental health should be important health care priorities for youth with chronic pain.</p>","PeriodicalId":14683,"journal":{"name":"JAMA Pediatrics","volume":null,"pages":null},"PeriodicalIF":24.7,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142154093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Parental Engagement With Children Around Firearms and Unsecure Storage.","authors":"Jennifer Paruk, Michael D Anestis, Daniel C Semenza","doi":"10.1001/jamapediatrics.2024.3055","DOIUrl":"https://doi.org/10.1001/jamapediatrics.2024.3055","url":null,"abstract":"","PeriodicalId":14683,"journal":{"name":"JAMA Pediatrics","volume":null,"pages":null},"PeriodicalIF":24.7,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142154115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Early Newborn Metabolic Patterning and Sudden Infant Death Syndrome.","authors":"Scott P Oltman, Elizabeth E Rogers, Rebecca J Baer, Ribka Amsalu, Gretchen Bandoli, Christina D Chambers, Hyunkeun Cho, John M Dagle, Kayla L Karvonen, Stephen F Kingsmore, Safyer McKenzie-Sampson, Allison Momany, Eric Ontiveros, Liana D Protopsaltis, Larry Rand, Erica Sanford Kobayashi, Martina A Steurer, Kelli K Ryckman, Laura L Jelliffe-Pawlowski","doi":"10.1001/jamapediatrics.2024.3033","DOIUrl":"https://doi.org/10.1001/jamapediatrics.2024.3033","url":null,"abstract":"<p><strong>Importance: </strong>Sudden infant death syndrome (SIDS) is a major cause of infant death in the US. Previous research suggests that inborn errors of metabolism may contribute to SIDS, yet the relationship between SIDS and biomarkers of metabolism remains unclear.</p><p><strong>Objective: </strong>To evaluate and model the association between routinely measured newborn metabolic markers and SIDS in combination with established risk factors for SIDS.</p><p><strong>Design, setting, and participants: </strong>This was a case-control study nested within a retrospective cohort using data from the California Office of Statewide Health Planning and Development and the California Department of Public Health. The study population included infants born in California between 2005 and 2011 with full metabolic data collected as part of routine newborn screening (NBS). SIDS cases were matched to controls at a ratio of 1:4 by gestational age and birth weight z score. Matched data were split into training (2/3) and testing (1/3) subsets. Data were analyzed from January 2005 to December 2011.</p><p><strong>Exposures: </strong>Metabolites measured by NBS and established risk factors for SIDS.</p><p><strong>Main outcomes and measures: </strong>The primary outcome was SIDS. Logistic regression was used to evaluate the association between metabolic markers combined with known risk factors and SIDS.</p><p><strong>Results: </strong>Of 2 276 578 eligible infants, 354 SIDS (0.016%) cases (mean [SD] gestational age, 38.3 [2.3] weeks; 220 male [62.1%]) and 1416 controls (mean [SD] gestational age, 38.3 [2.3] weeks; 723 male [51.1%]) were identified. In multivariable analysis, 14 NBS metabolites were significantly associated with SIDS in a univariate analysis: 17-hydroxyprogesterone, alanine, methionine, proline, tyrosine, valine, free carnitine, acetyl-L-carnitine, malonyl carnitine, glutarylcarnitine, lauroyl-L-carnitine, dodecenoylcarnitine, 3-hydroxytetradecanoylcarnitine, and linoleoylcarnitine. The area under the receiver operating characteristic curve for a 14-marker SIDS model, which included 8 metabolites, was 0.75 (95% CI, 0.72-0.79) in the training set and was 0.70 (95% CI, 0.65-0.76) in the test set. Of 32 infants in the test set with model-predicted probability greater than 0.5, a total of 20 (62.5%) had SIDS. These infants had 14.4 times the odds (95% CI, 6.0-34.5) of having SIDS compared with those with a model-predicted probability less than 0.1.</p><p><strong>Conclusions and relevance: </strong>Results from this case-control study showed an association between aberrant metabolic analytes at birth and SIDS. These findings suggest that we may be able to identify infants at increased risk for SIDS soon after birth, which could inform further mechanistic research and clinical efforts focused on monitoring and prevention.</p>","PeriodicalId":14683,"journal":{"name":"JAMA Pediatrics","volume":null,"pages":null},"PeriodicalIF":24.7,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142154094","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Further Considerations on Adverse Childhood Experiences and Neurocognitive Development.","authors":"Habib Bhurawala, Alison Poulton","doi":"10.1001/jamapediatrics.2024.3414","DOIUrl":"https://doi.org/10.1001/jamapediatrics.2024.3414","url":null,"abstract":"","PeriodicalId":14683,"journal":{"name":"JAMA Pediatrics","volume":null,"pages":null},"PeriodicalIF":24.7,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142154095","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Exposome as a Key to Understanding Pediatric Health Disparities.","authors":"Martinš M Gatavinš, Ashley M Cooper, Ran Barzilay","doi":"10.1001/jamapediatrics.2024.3448","DOIUrl":"https://doi.org/10.1001/jamapediatrics.2024.3448","url":null,"abstract":"","PeriodicalId":14683,"journal":{"name":"JAMA Pediatrics","volume":null,"pages":null},"PeriodicalIF":24.7,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142154116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Low-Dose Iron and Early Development in Breastfed Infants.","authors":"Pin-Yen Chen, Chung-Ming Chen","doi":"10.1001/jamapediatrics.2024.3297","DOIUrl":"https://doi.org/10.1001/jamapediatrics.2024.3297","url":null,"abstract":"","PeriodicalId":14683,"journal":{"name":"JAMA Pediatrics","volume":null,"pages":null},"PeriodicalIF":24.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142119823","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Low-Dose Iron and Early Development in Breastfed Infants.","authors":"Hong-Kun Jiang, Wan-Lin Cui","doi":"10.1001/jamapediatrics.2024.3300","DOIUrl":"https://doi.org/10.1001/jamapediatrics.2024.3300","url":null,"abstract":"","PeriodicalId":14683,"journal":{"name":"JAMA Pediatrics","volume":null,"pages":null},"PeriodicalIF":24.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142119824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Screen Use at Bedtime and Sleep Duration and Quality Among Youths.","authors":"Bradley Brosnan, Jillian J Haszard, Kim A Meredith-Jones, Shay-Ruby Wickham, Barbara C Galland, Rachael W Taylor","doi":"10.1001/jamapediatrics.2024.2914","DOIUrl":"10.1001/jamapediatrics.2024.2914","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Importance: &lt;/strong&gt;Although questionnaire-based cross-sectional research suggests that screen time before bed correlates with poor sleep, self-reported data seem unlikely to capture the complexity of modern screen use, requiring objective night-by-night measures to advance this field.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Objective: &lt;/strong&gt;To examine whether evening screen time is associated with sleep duration and quality that night in youths.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Design, setting, and participants: &lt;/strong&gt;This repeated-measures cohort study was performed from March to December 2021 in participant homes in Dunedin, New Zealand. Participants included healthy youths aged 11 to 14.9 years. Data were analyzed from October to November 2023.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Exposure: &lt;/strong&gt;Objectively measured screen time, captured using wearable or stationary video cameras from 2 hours before bedtime until the first time the youth attempted sleep (shut-eye time) over 4 nonconsecutive nights. Video data were coded using a reliable protocol (κ = 0.92) to quantify device (8 options [eg, smartphone]) and activity (10 options [eg, social media]) type.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Main outcomes and measures: &lt;/strong&gt;Sleep duration and quality were measured objectively via wrist-worn accelerometers. The association of screen use with sleep measures was analyzed on a night-by-night basis using mixed-effects regression models including participant as a random effect and adjusted for weekends.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Of the 79 participants (47 [59.5%] male; mean [SD] age, 12.9 [1.1] years), all but 1 had screen time before bed. Screen use in the 2 hours before bed had no association with most measures of sleep health that night (eg, mean difference in total sleep time, 0 minutes [95% CI, -3 to 20 minutes] for every 10 minutes more total screen time). All types of screen time were associated with delayed sleep onset but particularly interactive screen use (mean difference, 10 minutes; 95% CI, 4 to 16 minutes for every additional 10 minutes of interactive screen time). Every 10 minutes of additional screen time in bed was associated with shorter total sleep time (mean difference, -3 minutes; 95% CI, -6 to -1 minute). The mean difference in total sleep time was -9 minutes (95% CI, -16 to -2 minutes) for every 10 minutes of interactive screen use and -4 minutes (95% CI, -7 to 0 minutes) for passive screen use. In particular, gaming (mean difference, -17 minutes; 95% CI, -28 to -7 minutes for every 10 minutes of gaming) and multitasking (mean difference, -35 minutes; 95% CI, -67 to -4 minutes on nights with vs without multitasking) were associated with less total sleep time.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions and relevance: &lt;/strong&gt;In this repeated-measures cohort study, use of an objective method showed that screen time once in bed was associated with impairment of sleep, especially when screen time was interactive or involved multitasking. These findings suggest that current sleep hygiene recommendations to","PeriodicalId":14683,"journal":{"name":"JAMA Pediatrics","volume":null,"pages":null},"PeriodicalIF":24.7,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11372655/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142119826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}