2f:I[703058,["/_next/static/immutable/chunks/3bhq_5eh1d760.js","/_next/static/immutable/chunks/1855-ogyi8eh4.js","/_next/static/immutable/chunks/2pfsjpn6k6zlg.js","/_next/static/immutable/chunks/26c7v3_3uwnwu.js","/_next/static/immutable/chunks/25a3ozcrvi1ff.js","/_next/static/immutable/chunks/2r4wx50nvjh_4.js","/_next/static/immutable/chunks/23fsw06hsi5b1.js","/_next/static/immutable/chunks/06_yt270h41rg.js","/_next/static/immutable/chunks/3ezsiz-7shkna.js","/_next/static/immutable/chunks/20x2y96ldu5wx.js","/_next/static/immutable/chunks/2lxntcm3pd1_h.js","/_next/static/immutable/chunks/00dgco8irq3jw.js","/_next/static/immutable/chunks/00nwe-kq0rboc.js","/_next/static/immutable/chunks/2051ffx3xzio9.js"],"PaperListPageClient"] 30:T975,Daytime napping is common among older adults, but evidence linking objective daytime nap patterns to mortality is limited, as prior studies relied largely on self-report. Some daytime nap characteristics, such as timing and variability of nap duration across days, are also understudied. To test whether actigraphy-measured daytime nap duration, frequency, variability, and timing are associated with all-cause mortality. This prospective cohort study used data from the population-based Rush Memory and Aging Project, in which the analytic baseline was initiated in August 2005. Participants in this current study were community-dwelling adults aged 56 years or older in northern Illinois, with up to 19 years of follow-up. Data for this study were gathered until April 2025. Daytime napping, defined as sleeping between 9 am and 7 pm and assessed by up to 14 days of actigraphy data. Cox proportional hazards regression models were used to estimate associations between baseline daytime nap characteristics (duration, frequency, variability in duration across days, and timing) and subsequent all-cause mortality. Among 1338 participants over a mean (SD) follow-up of 8.30 (4.78) years (mean [SD] participant age, 81.40 [7.39] years; 1018 [76.0%] female), 926 (69.2%) died at a mean (SD) of 7.54 (4.52) years (range, 0.08-19.08 years) after analytic baseline. Participants wore the actigraphy device for a mean (SD) of 9.58 (1.22) days. After adjusting for all covariates, longer daytime nap duration (adjusted hazard ratio [AHR] per 1-hour increase, 1.13; 95% CI, 1.04-1.23; P = .005) and higher nap frequency (AHR per additional daily nap, 1.07; 95% CI, 1.02-1.13; P = .003) at baseline were associated with increased mortality. Morning nappers had higher mortality risk compared with early afternoon nappers (AHR, 1.30; 95% CI, 1.03-1.64; P = .03). Variability in daytime nap duration was not associated with mortality after covariate adjustment (AHR per 1-hour increase, 1.01; 95% CI, 0.89-1.14; P = .93). In this prospective cohort study of community-dwelling older adults, longer and more frequent daytime napping, especially in the morning, were associated with higher all-cause mortality. The findings suggest incorporating wearable device-based daytime nap assessments into clinical and public health practices may provide novel opportunities for early risk identification of health conditions.31:Tfc8, Importance Daytime napping is common among older adults, but evidence linking objective daytime nap patterns to mortality is limited, as prior studies relied largely on self-report. Some daytime nap characteristics, such as timing and variability of nap duration across days, are also understudied. Objective To test whether actigraphy-measured daytime nap duration, frequency, variability, and timing are associated with all-cause mortality. Design, Setting, and Participants This prospective cohort study used data from the population-based Rush Memory and Aging Project, in which the analytic baseline was initiated in August 2005. Participants in this current study were community-dwelling adults aged 56 years or older in northern Illinois, with up to 19 years of follow-up. Data for this study were gathered until April 2025. Main Outcome and Measures Daytime napping, defined as sleeping between 9 am and 7 pm and assessed by up to 14 days of actigraphy data. Cox proportional hazards regression models were used to estimate associations between baseline daytime nap characteristics (duration, frequency, variability in duration across days, and timing) and subsequent all-cause mortality. Results Among 1338 participants over a mean (SD) follow-up of 8.30 (4.78) years (mean [SD] participant age, 81.40 [7.39] years; 1018 [76.0%] female), 926 (69.2%) died at a mean (SD) of 7.54 (4.52) years (range, 0.08-19.08 years) after analytic baseline. Participants wore the actigraphy device for a mean (SD) of 9.58 (1.22) days. After adjusting for all covariates, longer daytime nap duration (adjusted hazard ratio [AHR] per 1-hour increase, 1.13; 95% CI, 1.04-1.23; P = .005) and higher nap frequency (AHR per additional daily nap, 1.07; 95% CI, 1.02-1.13; P = .003) at baseline were associated with increased mortality. Morning nappers had higher mortality risk compared with early afternoon nappers (AHR, 1.30; 95% CI, 1.03-1.64; P = .03). Variability in daytime nap duration was not associated with mortality after covariate adjustment (AHR per 1-hour increase, 1.01; 95% CI, 0.89-1.14; P = .93). Conclusions and Relevance In this prospective cohort study of community-dwelling older adults, longer and more frequent daytime napping, especially in the morning, were associated with higher all-cause mortality. The findings suggest incorporating wearable device–based daytime nap assessments into clinical and public health practices may provide novel opportunities for early risk identification of health conditions. 25:[[["$","script","0",{"type":"application/ld+json","dangerouslySetInnerHTML":{"__html":"{\"@context\":\"https://schema.org\",\"@type\":\"CollectionPage\",\"name\":\"Sleep Disorders: condition Research & Clinical Takeaways\",\"description\":\"Explore peer-reviewed papers on Sleep Disorders (condition). Clinician-written summaries and actionable practice insights. 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Those affected had higher ALP (p=0.003) and AST (p=0.018), more fatigue (p=0.016), worse self-rated health (p<0.001), and were far less likely to meet Paris II UDCA response criteria (44% vs. 94%, p<0.001). On multivariable analysis, higher ALP, UDCA non-response, and poorer self-rated health were independently associated with sleep disorders.","limitations":"Single-center registry with a relatively small sample (n=104), limiting generalizability. Sleep disorders were patient-reported via questionnaires rather than confirmed by polysomnography or formal sleep study. Confounders such as comorbid depression or obstructive sleep apnea were not clearly accounted for.","practice_takeaway":"Routinely screen PBC patients for sleep complaints — especially those with elevated ALP or poor UDCA response — as sleep disorders may signal a higher overall disease burden. Addressing sleep disturbances alongside standard treatment monitoring could improve patient-reported outcomes."}},{"doi":"10.1038/s41582-026-01255-2","pmid":"42552390","title":"Losing sleep over glia: new mechanisms for Alzheimer-related sleep disruption","journal_title":"Nature Reviews Neurology","journal_issn":"1759-4758","published_at":"2026-08-04T00:00:00.000Z","url":"https://doi.org/10.1038/s41582-026-01255-2","source_score":14,"is_retracted":false,"is_open_access":false,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-08-13T13:23:00.227Z","updated_at":"2026-08-13T13:23:00.227Z","tags":[{"paper_doi":"10.1038/s41582-026-01255-2","tag_type":"age_group","value":"older_adult","value_numeric":null},{"paper_doi":"10.1038/s41582-026-01255-2","tag_type":"category","value":"Clinical Neurology","value_numeric":null},{"paper_doi":"10.1038/s41582-026-01255-2","tag_type":"condition","value":"Alzheimer's Disease","value_numeric":null},{"paper_doi":"10.1038/s41582-026-01255-2","tag_type":"condition","value":"Sleep Disorders","value_numeric":null},{"paper_doi":"10.1038/s41582-026-01255-2","tag_type":"impact_flag","value":"practice_changing","value_numeric":null},{"paper_doi":"10.1038/s41582-026-01255-2","tag_type":"level_of_evidence","value":"5","value_numeric":null},{"paper_doi":"10.1038/s41582-026-01255-2","tag_type":"modality","value":"Glial Cell Biology","value_numeric":null},{"paper_doi":"10.1038/s41582-026-01255-2","tag_type":"modality","value":"Neuroinflammation","value_numeric":null},{"paper_doi":"10.1038/s41582-026-01255-2","tag_type":"study_design","value":"Narrative Review","value_numeric":null},{"paper_doi":"10.1038/s41582-026-01255-2","tag_type":"warning","value":"Full paper text was not provided — summary and tags are inferred from the title, journal, and DOI metadata only; specific statistics, cited studies, and conclusions may differ from the actual article content.","value_numeric":null},{"paper_doi":"10.1038/s41582-026-01255-2","tag_type":"warning","value":"Impact flag 'practice_changing' is tentative given this is a review article; the flag reflects the novelty of the glial mechanistic framing rather than a confirmed clinical intervention.","value_numeric":null},{"paper_doi":"10.1038/s41582-026-01255-2","tag_type":"warning","value":"Sex breakdown of study populations and sample sizes are not determinable from available metadata.","value_numeric":null}],"summaries":{"what_studied":"This review examines glial cell mechanisms — primarily astrocytes and microglia — that underlie sleep disruption in Alzheimer's disease (AD), synthesizing emerging evidence on how glial dysfunction contributes to circadian and sleep abnormalities.","key_result":"The review identifies novel glial-mediated pathways linking AD pathology (amyloid-β and tau accumulation) to sleep disruption, highlighting roles for astrocytic gliotransmission, microglial neuroinflammation, and impaired glymphatic clearance as key mechanistic drivers.","limitations":"As a narrative review, causal directionality between glial dysfunction and sleep disruption in AD remains difficult to establish; most cited mechanistic evidence derives from preclinical animal models with uncertain human translation.","practice_takeaway":"Clinicians managing AD patients should recognize sleep disruption as potentially driven by glial and neuroinflammatory mechanisms, not just neuronal loss — this may open future therapeutic targets beyond conventional sleep aids. Glymphatic function and circadian glial signaling are emerging areas to watch for intervention."}},{"doi":"10.3399/bjgp26x746181","pmid":"42532864","title":"The weight of ordinary things","journal_title":"British Journal of General Practice","journal_issn":"0960-1643","published_at":"2026-07-30T00:00:00.000Z","url":"https://doi.org/10.3399/bjgp26x746181","source_score":5,"is_retracted":false,"is_open_access":true,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-08-04T18:18:12.316Z","updated_at":"2026-08-04T18:18:12.316Z","tags":[{"paper_doi":"10.3399/bjgp26x746181","tag_type":"age_group","value":"adult","value_numeric":null},{"paper_doi":"10.3399/bjgp26x746181","tag_type":"category","value":"Primary Health Care","value_numeric":null},{"paper_doi":"10.3399/bjgp26x746181","tag_type":"condition","value":"Allodynia","value_numeric":null},{"paper_doi":"10.3399/bjgp26x746181","tag_type":"condition","value":"Multiple Sclerosis","value_numeric":null},{"paper_doi":"10.3399/bjgp26x746181","tag_type":"condition","value":"Neuropathic Pain","value_numeric":null},{"paper_doi":"10.3399/bjgp26x746181","tag_type":"condition","value":"Sleep Disorders","value_numeric":null},{"paper_doi":"10.3399/bjgp26x746181","tag_type":"generic","value":"amitriptyline","value_numeric":null},{"paper_doi":"10.3399/bjgp26x746181","tag_type":"impact_flag","value":"limited_evidence","value_numeric":null},{"paper_doi":"10.3399/bjgp26x746181","tag_type":"level_of_evidence","value":"7","value_numeric":null},{"paper_doi":"10.3399/bjgp26x746181","tag_type":"modality","value":"Tricyclic Antidepressant","value_numeric":null},{"paper_doi":"10.3399/bjgp26x746181","tag_type":"study_design","value":"Editorial / Commentary","value_numeric":null},{"paper_doi":"10.3399/bjgp26x746181","tag_type":"warning","value":"No sex or sample size tags are applicable given the non-empirical nature of the piece.","value_numeric":null},{"paper_doi":"10.3399/bjgp26x746181","tag_type":"warning","value":"The RCGP survey statistics cited are from a secondary source (Blythen et al., 2026) and not independently verified within this article.","value_numeric":null},{"paper_doi":"10.3399/bjgp26x746181","tag_type":"warning","value":"This is a personal commentary, not a research study — no empirical data or patient outcomes are reported beyond a fictional illustrative case.","value_numeric":null}],"summaries":{"what_studied":"A clinical commentary exploring how general practice is uniquely positioned to identify and manage sleep disorders within complex, multi-morbid presentations — illustrated by a fictional case of a patient with MS and allodynia whose sleep disruption was resolved by a timing adjustment to amitriptyline.","key_result":"A 2026 RCGP survey of over 2,300 GPs found fewer than 30% felt they had enough consultation time to provide high-quality care, and 73% reported patient safety was being compromised by current system pressures.","limitations":"The clinical case is fictional and constructed from the author's general experience, not from documented patient data. This is an opinion piece with no systematic data collection, control group, or quantitative outcomes.","practice_takeaway":"Sleep problems are often buried in presentations like treatment-resistant hypertension, unexplained fatigue, or weight gain — routinely asking about sleep in the GP consultation can unlock diagnoses that specialist silos miss. Protecting adequate consultation time is essential to this form of holistic, integrative clinical thinking."}},{"doi":"10.1007/s10567-026-00577-3","pmid":"42467397","title":"Not All Screen Use is Equal: Shifting the Focus from Screen Time to Problematic Use in Child and Adolescent Well-Being Research","journal_title":"Clinical Child and Family Psychology Review","journal_issn":"1096-4037","published_at":"2026-07-17T00:00:00.000Z","url":"https://doi.org/10.1007/s10567-026-00577-3","source_score":5,"is_retracted":false,"is_open_access":false,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-07-25T13:57:43.672Z","updated_at":"2026-07-25T13:57:43.672Z","tags":[{"paper_doi":"10.1007/s10567-026-00577-3","tag_type":"age_group","value":"adolescent","value_numeric":null},{"paper_doi":"10.1007/s10567-026-00577-3","tag_type":"age_group","value":"pediatric","value_numeric":null},{"paper_doi":"10.1007/s10567-026-00577-3","tag_type":"category","value":"Psychology, Clinical","value_numeric":null},{"paper_doi":"10.1007/s10567-026-00577-3","tag_type":"condition","value":"Anxiety","value_numeric":null},{"paper_doi":"10.1007/s10567-026-00577-3","tag_type":"condition","value":"Depression","value_numeric":null},{"paper_doi":"10.1007/s10567-026-00577-3","tag_type":"condition","value":"Gaming Disorder","value_numeric":null},{"paper_doi":"10.1007/s10567-026-00577-3","tag_type":"condition","value":"Problematic Internet Use","value_numeric":null},{"paper_doi":"10.1007/s10567-026-00577-3","tag_type":"condition","value":"Problematic Social Media Use","value_numeric":null},{"paper_doi":"10.1007/s10567-026-00577-3","tag_type":"condition","value":"Sleep Disorders","value_numeric":null},{"paper_doi":"10.1007/s10567-026-00577-3","tag_type":"impact_flag","value":"practice_changing","value_numeric":null},{"paper_doi":"10.1007/s10567-026-00577-3","tag_type":"level_of_evidence","value":"3","value_numeric":null},{"paper_doi":"10.1007/s10567-026-00577-3","tag_type":"modality","value":"Cognitive Behavioral Therapy","value_numeric":null},{"paper_doi":"10.1007/s10567-026-00577-3","tag_type":"sample_size","value":"n=52","value_numeric":52},{"paper_doi":"10.1007/s10567-026-00577-3","tag_type":"sex","value":"mixed","value_numeric":null},{"paper_doi":"10.1007/s10567-026-00577-3","tag_type":"study_design","value":"Narrative Review","value_numeric":null},{"paper_doi":"10.1007/s10567-026-00577-3","tag_type":"warning","value":"Level of evidence set to 3 (narrative review of reviews); the underlying evidence base includes Level 1 studies, but the review itself is not a systematic review.","value_numeric":null},{"paper_doi":"10.1007/s10567-026-00577-3","tag_type":"warning","value":"Sample size tag reflects the number of systematic reviews/meta-analyses synthesized, not a patient-level N — interpret accordingly.","value_numeric":null},{"paper_doi":"10.1007/s10567-026-00577-3","tag_type":"warning","value":"The 'practice_changing' impact flag reflects the conceptual shift from screen-time quantity to problematic-use quality, which has direct clinical implications, though no new primary trial data are presented.","value_numeric":null}],"summaries":{"what_studied":"This narrative review synthesized evidence from 52 systematic reviews and meta-analyses to assess how general vs. problematic digital media use (social media, gaming, internet) relates to cognitive, emotional, social, and physical well-being in children and adolescents.","key_result":"Problematic media use was consistently linked to adverse outcomes across all well-being domains. General screen time showed mixed effects, shaped by content, motives, context, and individual traits — not simply by the amount of time spent.","limitations":"- Narrative review design means inclusion criteria are less rigorous than a systematic review, with potential for selection bias.\n- Relies entirely on secondary sources; no primary data collected.\n- Sample diversity in underlying studies was not assessed — prior work flags underrepresentation of minority youth in this literature.","practice_takeaway":"Ask patients and families about *how* and *why* screens are used, not just how long — problematic patterns (compulsive use, use to escape distress) carry the clearest risk signals.\nTargeted CBT-based interventions exist for problematic internet and gaming use and should be considered for at-risk youth rather than blanket screen-time limits."}},{"doi":"10.1002/nau.70384","pmid":"42464888","title":"Association of Accelerometer‐Derived Rest‐Activity Rhythms and Sleep Health With Overactive Bladder: Depression as a Potential Explanatory Factor in a Nationally Representative Study","journal_title":"Neurourology and Urodynamics","journal_issn":"0733-2467","published_at":"2026-07-17T00:00:00.000Z","url":"https://doi.org/10.1002/nau.70384","source_score":20,"is_retracted":false,"is_open_access":false,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-07-29T13:31:02.627Z","updated_at":"2026-07-29T13:31:02.627Z","tags":[{"paper_doi":"10.1002/nau.70384","tag_type":"age_group","value":"adult","value_numeric":null},{"paper_doi":"10.1002/nau.70384","tag_type":"category","value":"Urology & Nephrology","value_numeric":null},{"paper_doi":"10.1002/nau.70384","tag_type":"condition","value":"Depression","value_numeric":null},{"paper_doi":"10.1002/nau.70384","tag_type":"condition","value":"Overactive Bladder","value_numeric":null},{"paper_doi":"10.1002/nau.70384","tag_type":"condition","value":"Sleep Disorders","value_numeric":null},{"paper_doi":"10.1002/nau.70384","tag_type":"impact_flag","value":"limited_evidence","value_numeric":null},{"paper_doi":"10.1002/nau.70384","tag_type":"level_of_evidence","value":"4","value_numeric":null},{"paper_doi":"10.1002/nau.70384","tag_type":"modality","value":"Accelerometry","value_numeric":null},{"paper_doi":"10.1002/nau.70384","tag_type":"modality","value":"Patient-Reported Outcome Measure","value_numeric":null},{"paper_doi":"10.1002/nau.70384","tag_type":"sample_size","value":"n=6603","value_numeric":6603},{"paper_doi":"10.1002/nau.70384","tag_type":"sex","value":"mixed","value_numeric":null},{"paper_doi":"10.1002/nau.70384","tag_type":"study_design","value":"Cross-Sectional Study","value_numeric":null},{"paper_doi":"10.1002/nau.70384","tag_type":"warning","value":"Causality cannot be established from this cross-sectional design; associations may reflect reverse causation (e.g., nocturia disrupting sleep).","value_numeric":null},{"paper_doi":"10.1002/nau.70384","tag_type":"warning","value":"Mediation analysis quantifies a statistical indirect pathway through depression but cannot confirm a true causal mechanism.","value_numeric":null},{"paper_doi":"10.1002/nau.70384","tag_type":"warning","value":"OAB was defined by a symptom score threshold (OABSS ≥ 3) without urodynamic or clinical confirmation, which may affect specificity.","value_numeric":null}],"summaries":{"what_studied":"This cross-sectional study used NHANES 2011–2014 data from 6,603 U.S. adults to examine whether accelerometer-derived rest-activity rhythm (RAR) metrics and multidimensional sleep parameters are associated with overactive bladder (OAB), and whether depression (PHQ-9) mediates these relationships.","key_result":"Weighted OAB prevalence was 21.4%. Greater relative amplitude (RA) was associated with 17% lower odds of OAB per 0.1-unit increase (OR 0.83, 95% CI 0.79–0.88), while higher intradaily variability (IV) raised odds by 5% per 0.1-unit increase (OR 1.05, 95% CI 1.02–1.08). Better sleep efficiency (OR 0.81 per 10% increase) and longer sleep duration (OR 0.95 per hour) were also inversely linked to OAB. Depression partially mediated the RA–OAB relationship.","limitations":"- Cross-sectional design prevents causal inference; prospective validation is needed.\n- OAB was self-reported via symptom score (OABSS ≥ 3), without clinical confirmation.\n- Mediation analysis cannot rule out unmeasured confounders on the depression pathway.","practice_takeaway":"Patients with weaker circadian rest-activity rhythms and poor sleep efficiency may be at higher risk for OAB—screening for sleep disturbances and depression in OAB evaluations could reveal treatable contributing factors. These findings are observational and should not yet change management, but they support integrated assessment of sleep and mood in patients presenting with OAB symptoms."}},{"doi":"10.1111/dmcn.70337","pmid":"42338150","title":"Sleep profiles in individuals with rare neurogenetic syndromes","journal_title":"Developmental Medicine & Child Neurology","journal_issn":"0012-1622","published_at":"2026-06-23T00:00:00.000Z","url":"https://doi.org/10.1111/dmcn.70337","source_score":8,"is_retracted":false,"is_open_access":true,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-06-26T13:25:30.500Z","updated_at":"2026-06-26T13:25:30.500Z","tags":[{"paper_doi":"10.1111/dmcn.70337","tag_type":"age_group","value":"mixed","value_numeric":null},{"paper_doi":"10.1111/dmcn.70337","tag_type":"category","value":"Pediatrics","value_numeric":null},{"paper_doi":"10.1111/dmcn.70337","tag_type":"condition","value":"Intellectual Disability","value_numeric":null},{"paper_doi":"10.1111/dmcn.70337","tag_type":"condition","value":"Malan Syndrome","value_numeric":null},{"paper_doi":"10.1111/dmcn.70337","tag_type":"condition","value":"Neurogenetic Disorders","value_numeric":null},{"paper_doi":"10.1111/dmcn.70337","tag_type":"condition","value":"PTEN Hamartoma Tumor Syndrome","value_numeric":null},{"paper_doi":"10.1111/dmcn.70337","tag_type":"condition","value":"Sleep Disorders","value_numeric":null},{"paper_doi":"10.1111/dmcn.70337","tag_type":"condition","value":"SYNGAP1-Related Intellectual Disability","value_numeric":null},{"paper_doi":"10.1111/dmcn.70337","tag_type":"impact_flag","value":"confirms_prior","value_numeric":null},{"paper_doi":"10.1111/dmcn.70337","tag_type":"level_of_evidence","value":"4","value_numeric":null},{"paper_doi":"10.1111/dmcn.70337","tag_type":"sample_size","value":"n=248","value_numeric":248},{"paper_doi":"10.1111/dmcn.70337","tag_type":"sex","value":"mixed","value_numeric":null},{"paper_doi":"10.1111/dmcn.70337","tag_type":"study_design","value":"Cross-Sectional Study","value_numeric":null},{"paper_doi":"10.1111/dmcn.70337","tag_type":"warning","value":"No pharmacological or therapeutic intervention was studied; modality and brand/generic drug tags are not applicable.","value_numeric":null},{"paper_doi":"10.1111/dmcn.70337","tag_type":"warning","value":"The 'other NGDs' group includes several distinct genetic conditions (ADNP, CSNK2A1, GRIN2B, STXBP1), making syndrome-specific conclusions difficult for that subgroup.","value_numeric":null},{"paper_doi":"10.1111/dmcn.70337","tag_type":"warning","value":"The sample spans a very wide age range (3–45 years), mixing pediatric and adult participants, which may obscure age-specific sleep patterns. The age_group tag is set to 'mixed' accordingly.","value_numeric":null}],"summaries":{"what_studied":"This cross-sectional caregiver-report study characterized sleep profiles in 248 individuals (aged 3–45 years) with neurogenetic disorders (NGDs) — including PTEN hamartoma tumor syndrome, SYNGAP1-related intellectual disability, and Malan syndrome — and examined how clinical and psychiatric factors relate to those profiles.","key_result":"Latent profile analysis identified five distinct sleep profiles (low symptomatology, early morning somnolence, insomnia symptoms, high symptomatology, and bedtime resistance); profiles differed significantly by age, intellectual functioning, and psychiatric correlates — notably higher self-injury in the insomnia profile and greater depressed affect in the high sleep symptomatology profile.","limitations":"- Caregiver-report only; no objective sleep measures (e.g., actigraphy or polysomnography).\n- Cross-sectional design precludes causal inference between sleep profiles and psychiatric symptoms.\n- Heterogeneous 'other NGDs' group (n=69) limits generalizability to specific rare diagnoses.","practice_takeaway":"Screen for sleep problems early and routinely in patients with neurogenetic disorders, as distinct sleep profiles — especially insomnia and high symptomatology — track with self-injury and depressed affect regardless of specific genetic diagnosis. Targeting sleep may offer a transdiagnostic entry point for improving broader mental health outcomes in this population."}},{"doi":"10.1097/cej.0000000000001019","pmid":"42237898","title":"Effectiveness of palliative care in managing adverse reactions in cancer patients: a systematic review and meta-analysis","journal_title":"European Journal of Cancer Prevention","journal_issn":"0959-8278","published_at":"2026-06-04T00:00:00.000Z","url":"https://doi.org/10.1097/cej.0000000000001019","source_score":1,"is_retracted":false,"is_open_access":false,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-06-09T13:50:13.336Z","updated_at":"2026-06-09T13:50:13.336Z","tags":[{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"age_group","value":"mixed","value_numeric":null},{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"category","value":"Oncology","value_numeric":null},{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"condition","value":"Anxiety","value_numeric":null},{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"condition","value":"Cancer","value_numeric":null},{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"condition","value":"Cancer Pain","value_numeric":null},{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"condition","value":"Cancer-Related Fatigue","value_numeric":null},{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"condition","value":"Delirium","value_numeric":null},{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"condition","value":"Depression","value_numeric":null},{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"condition","value":"Malnutrition","value_numeric":null},{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"condition","value":"Nausea and Vomiting","value_numeric":null},{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"condition","value":"Sleep Disorders","value_numeric":null},{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"impact_flag","value":"confirms_prior","value_numeric":null},{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"level_of_evidence","value":"1","value_numeric":null},{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"modality","value":"Hospice Care","value_numeric":null},{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"modality","value":"Pain Management","value_numeric":null},{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"modality","value":"Palliative Care","value_numeric":null},{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"sample_size","value":"n=2903","value_numeric":2903},{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"sex","value":"mixed","value_numeric":null},{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"study_design","value":"Systematic Review and Meta-Analysis","value_numeric":null},{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"warning","value":"Publication bias and heterogeneity statistics are described as assessed in the abstract but could not be independently verified.","value_numeric":null},{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"warning","value":"Specific effect sizes (SMDs, RRs, CIs) and individual study-level details could not be extracted due to the unavailable full text.","value_numeric":null},{"paper_doi":"10.1097/cej.0000000000001019","tag_type":"warning","value":"The full text of the article was not accessible — only the abstract was provided. The PDF content retrieved was a Lippincott author permissions document unrelated to the study. All structured data are derived solely from the abstract.","value_numeric":null}],"summaries":{"what_studied":"This systematic review and meta-analysis evaluated the efficacy of palliative care versus standard care in managing adverse reactions (anxiety, depression, pain, fatigue, delirium, malnutrition, nausea/vomiting, and sleep disorders) in cancer patients undergoing surgery, radiotherapy, or chemotherapy; 18 studies with 2,903 patients were included, searched through August 2024.","key_result":"Palliative care significantly outperformed standard care in reducing depression, anxiety, pain, fatigue, delirium, malnutrition, nausea, and vomiting. Combined interventions integrating pain management and hospice care showed the best outcomes. Patients aged ≥60 years benefited most. No significant benefit was seen for sleep disorders.","limitations":"The full text of the study was not retrievable—only the abstract was available, limiting appraisal of individual study quality, heterogeneity details, and effect sizes. The included studies and their individual characteristics could not be verified independently.","practice_takeaway":"Consider integrated palliative care—combining pain management with hospice-style support—early for cancer patients on active treatment, especially those aged 60 and older. Sleep disorder management remains a gap; additional targeted strategies are needed."}},{"doi":"10.1016/j.sleh.2026.05.001","pmid":"42215333","title":"“Just a phase” and “serious risk”? Discourses of sleep during adolescence in online news media","journal_title":"Sleep Health","journal_issn":"2352-7218","published_at":"2026-05-29T00:00:00.000Z","url":"https://doi.org/10.1016/j.sleh.2026.05.001","source_score":46,"is_retracted":false,"is_open_access":true,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-07-31T13:36:58.203Z","updated_at":"2026-07-31T13:36:58.203Z","tags":[{"paper_doi":"10.1016/j.sleh.2026.05.001","tag_type":"age_group","value":"adolescent","value_numeric":null},{"paper_doi":"10.1016/j.sleh.2026.05.001","tag_type":"category","value":"Clinical Neurology","value_numeric":null},{"paper_doi":"10.1016/j.sleh.2026.05.001","tag_type":"condition","value":"Adolescent Sleep Health","value_numeric":null},{"paper_doi":"10.1016/j.sleh.2026.05.001","tag_type":"condition","value":"Sleep Disorders","value_numeric":null},{"paper_doi":"10.1016/j.sleh.2026.05.001","tag_type":"impact_flag","value":"limited_evidence","value_numeric":null},{"paper_doi":"10.1016/j.sleh.2026.05.001","tag_type":"level_of_evidence","value":"6","value_numeric":null},{"paper_doi":"10.1016/j.sleh.2026.05.001","tag_type":"sample_size","value":"n=36","value_numeric":36},{"paper_doi":"10.1016/j.sleh.2026.05.001","tag_type":"study_design","value":"Qualitative Study","value_numeric":null},{"paper_doi":"10.1016/j.sleh.2026.05.001","tag_type":"warning","value":"Findings are specific to New Zealand online media and may not reflect health messaging in other countries or media formats.","value_numeric":null},{"paper_doi":"10.1016/j.sleh.2026.05.001","tag_type":"warning","value":"Study design label 'Qualitative Study / Discourse Analysis' is used; no standard RCT/cohort hierarchy applies — level of evidence assigned conservatively as 6 (qualitative/expert opinion tier).","value_numeric":null},{"paper_doi":"10.1016/j.sleh.2026.05.001","tag_type":"warning","value":"The sample size of 36 refers to news articles, not human participants — this is a media analysis study, not a clinical trial or cohort study.","value_numeric":null}],"summaries":{"what_studied":"This qualitative study analyzed how New Zealand's main free online news platform (Stuff.co.nz) framed adolescent sleep between December 2020 and 2023, using discourse analysis on 36 articles to understand messaging patterns and assigned social roles.","key_result":"Two competing discourses emerged: sleep changes as 'just a phase' (linked to normal pubertal development and autonomy) and sleep disruption as 'a serious risk' (linked to mental health). Parents were simultaneously told to accept sleep changes as normal and to actively monitor and intervene — a contradictory mandate.","limitations":"Single national news source from New Zealand limits generalizability; small corpus of 36 articles; discourse analysis reflects interpretation rather than causal inference.","practice_takeaway":"Health promotion messaging about adolescent sleep should address the tension parents face between normalizing developmental sleep shifts and acting on genuine risk signals. Clinicians can help parents distinguish typical circadian changes from clinically significant sleep disruption."}},{"doi":"10.1080/13697137.2026.2627567","pmid":"42118132","title":"Sleep problems persist in middle-aged women and influence changes in health but are moderated by menopause and its treatment","journal_title":"Climacteric","journal_issn":"1369-7137","published_at":"2026-05-12T00:00:00.000Z","url":"https://doi.org/10.1080/13697137.2026.2627567","source_score":4,"is_retracted":false,"is_open_access":false,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-05-17T13:21:41.845Z","updated_at":"2026-05-17T13:21:41.845Z","tags":[{"paper_doi":"10.1080/13697137.2026.2627567","tag_type":"age_group","value":"adult","value_numeric":null},{"paper_doi":"10.1080/13697137.2026.2627567","tag_type":"age_group","value":"older_adult","value_numeric":null},{"paper_doi":"10.1080/13697137.2026.2627567","tag_type":"category","value":"Obstetrics & Gynecology","value_numeric":null},{"paper_doi":"10.1080/13697137.2026.2627567","tag_type":"condition","value":"Menopause","value_numeric":null},{"paper_doi":"10.1080/13697137.2026.2627567","tag_type":"condition","value":"Sleep Disorders","value_numeric":null},{"paper_doi":"10.1080/13697137.2026.2627567","tag_type":"impact_flag","value":"confirms_prior","value_numeric":null},{"paper_doi":"10.1080/13697137.2026.2627567","tag_type":"level_of_evidence","value":"3","value_numeric":null},{"paper_doi":"10.1080/13697137.2026.2627567","tag_type":"modality","value":"Hormone Replacement Therapy","value_numeric":null},{"paper_doi":"10.1080/13697137.2026.2627567","tag_type":"sample_size","value":"n=200000","value_numeric":200000},{"paper_doi":"10.1080/13697137.2026.2627567","tag_type":"sex","value":"female","value_numeric":null},{"paper_doi":"10.1080/13697137.2026.2627567","tag_type":"study_design","value":"Cross-Sectional and Longitudinal Cohort Study","value_numeric":null},{"paper_doi":"10.1080/13697137.2026.2627567","tag_type":"warning","value":"All outcomes rely solely on self-reported data — no objective sleep (e.g., polysomnography, actigraphy), hormonal, or clinical health measures were included, which is a significant constraint noted by the authors themselves.","value_numeric":null},{"paper_doi":"10.1080/13697137.2026.2627567","tag_type":"warning","value":"Level of evidence assigned as 3 (cohort study) given the observational design; causal inferences about HRT and sleep improvement should be made cautiously.","value_numeric":null},{"paper_doi":"10.1080/13697137.2026.2627567","tag_type":"warning","value":"The study design is mixed (cross-sectional and longitudinal), and the two samples differ greatly in size; findings from each component should be interpreted separately.","value_numeric":null}],"summaries":{"what_studied":"This study used UK Biobank data to compare self-reported sleep problems in middle-aged women across three menopausal groups (postmenopausal, premenopausal/perimenopausal, and surgically menopausal), using cross-sectional (N ≈ 200,000) and longitudinal (N ≈ 20,000) analyses with baseline and follow-up questionnaires.","key_result":"Sleep duration and a composite sleep problems index differed significantly across menopausal groups (both p < 0.001); longitudinally, menopause worsened sleep quality over time, but HRT mitigated this decline — particularly in premenopausal/perimenopausal women and those with well-established menopause (both p < 0.05).","limitations":"- All sleep and health measures are self-reported; no objective sleep, hormonal, or health data were used to validate findings.\n- Cross-sectional and longitudinal samples differ substantially in size (200,000 vs. 20,000), which may limit comparability.\n- Menopausal status grouping relies on self-report and may misclassify individuals, especially those with surgical menopause.","practice_takeaway":"Consider early, timely HRT for middle-aged women with worsening sleep quality around menopause, as it appears to reduce sleep decline — even in the premenopausal/perimenopausal stage.\nTailored sleep interventions at midlife, not just at confirmed menopause, may improve patient well-being."}},{"doi":"10.1212/wnl.0000000000214985","pmid":"42018962","title":"The Relationship Between Sleep, Cognition, and Dementia Risk in People With Focal Epilepsy","journal_title":"Neurology","journal_issn":"0028-3878","published_at":"2026-04-22T00:00:00.000Z","url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13107407/","source_score":52,"is_retracted":false,"is_open_access":true,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-05-07T22:51:22.728Z","updated_at":"2026-05-07T22:51:22.728Z","tags":[{"paper_doi":"10.1212/wnl.0000000000214985","tag_type":"age_group","value":"adult","value_numeric":null},{"paper_doi":"10.1212/wnl.0000000000214985","tag_type":"age_group","value":"older_adult","value_numeric":null},{"paper_doi":"10.1212/wnl.0000000000214985","tag_type":"category","value":"Clinical Neurology","value_numeric":null},{"paper_doi":"10.1212/wnl.0000000000214985","tag_type":"condition","value":"Alzheimer Disease","value_numeric":null},{"paper_doi":"10.1212/wnl.0000000000214985","tag_type":"condition","value":"Dementia","value_numeric":null},{"paper_doi":"10.1212/wnl.0000000000214985","tag_type":"condition","value":"Focal Epilepsy","value_numeric":null},{"paper_doi":"10.1212/wnl.0000000000214985","tag_type":"condition","value":"Sleep Disorders","value_numeric":null},{"paper_doi":"10.1212/wnl.0000000000214985","tag_type":"condition","value":"Stroke","value_numeric":null},{"paper_doi":"10.1212/wnl.0000000000214985","tag_type":"impact_flag","value":"practice_changing","value_numeric":null},{"paper_doi":"10.1212/wnl.0000000000214985","tag_type":"level_of_evidence","value":"2","value_numeric":null},{"paper_doi":"10.1212/wnl.0000000000214985","tag_type":"modality","value":"Sleep Optimization (Behavioral/Lifestyle)","value_numeric":null},{"paper_doi":"10.1212/wnl.0000000000214985","tag_type":"sample_size","value":"n=482,207","value_numeric":482207},{"paper_doi":"10.1212/wnl.0000000000214985","tag_type":"sex","value":"mixed","value_numeric":null},{"paper_doi":"10.1212/wnl.0000000000214985","tag_type":"study_design","value":"Prospective Cohort Study","value_numeric":null},{"paper_doi":"10.1212/wnl.0000000000214985","tag_type":"warning","value":"Focal epilepsy and stroke groups were defined at baseline only; disease duration and severity data are not reported, which may confound risk estimates.","value_numeric":null},{"paper_doi":"10.1212/wnl.0000000000214985","tag_type":"warning","value":"The imaging subsample (n=42,345) is a subset of the full cohort; it is unclear whether brain volume findings are fully representative of the epilepsy and stroke subgroups.","value_numeric":null},{"paper_doi":"10.1212/wnl.0000000000214985","tag_type":"warning","value":"The 'practice_changing' impact flag reflects a large, well-powered cohort, but causality is not established — sleep may be a marker rather than a driver of cognitive decline in focal epilepsy.","value_numeric":null}],"summaries":{"what_studied":"This prospective UK Biobank cohort study (baseline 2006–2010, follow-up to 2021) examined how sleep characteristics (duration, apnea, insomnia, napping, dozing) affect executive function and incident dementia risk in adults with focal epilepsy, compared with stroke patients and healthy controls (N=482,207; imaging subsample N=42,345).","key_result":"Optimal sleep (6–8 hours) was more strongly linked to better executive function in focal epilepsy than in controls (interaction p=0.009). Focal epilepsy plus nonoptimal sleep carried a 5-fold higher dementia risk vs. controls with optimal sleep (HR 5.15, 95% CI 3.77–7.04), exceeding the risk in stroke with poor sleep (HR 3.48, 95% CI 2.82–4.26). Nonoptimal sleep was also associated with worse executive function up to 8 years *before* focal epilepsy diagnosis.","limitations":"Sleep data were entirely self-reported, which may introduce recall and misclassification bias. The study is observational, so causality cannot be confirmed. Focal epilepsy and stroke groups were identified at baseline only, limiting capture of incident cases or disease progression.","practice_takeaway":"Clinicians managing focal epilepsy should routinely screen for sleep problems — optimizing sleep may be one of the most impactful modifiable interventions to preserve cognition and reduce dementia risk in this population. The benefit appears meaningfully larger in focal epilepsy than in stroke or healthy adults."}},{"doi":"10.1001/jamanetworkopen.2026.7938","pmid":"42008265","title":"Objectively Measured Daytime Napping Patterns and All-Cause Mortality in Older Adults","journal_title":"JAMA Network Open","journal_issn":"2574-3805","published_at":"2026-04-21T00:00:00.000Z","url":"https://doi.org/10.1001/jamanetworkopen.2026.7938","source_score":943,"is_retracted":false,"is_open_access":true,"raw_metadata":{"ooir":{"day":"2026-04-25","doi":"10.1001/jamanetworkopen.2026.7938","days":"30","issn":"2574-3805","rank":"3","field":"Clinical Medicine","score":"943","category":"Medicine, General & Internal","categories":["Medicine, General & Internal"],"_categories":["Medicine, General & Internal"]},"pubmed":{"doi":"10.1001/jamanetworkopen.2026.7938","title":"Objectively Measured Daytime Napping Patterns and All-Cause Mortality in Older Adults.","journal":"JAMA network open","methods":"","results":"Among 1338 participants over a mean (SD) follow-up of 8.30 (4.78) years (mean [SD] participant age, 81.40 [7.39] years; 1018 [76.0%] female), 926 (69.2%) died at a mean (SD) of 7.54 (4.52) years (range, 0.08-19.08 years) after analytic baseline. Participants wore the actigraphy device for a mean (SD) of 9.58 (1.22) days. After adjusting for all covariates, longer daytime nap duration (adjusted hazard ratio [AHR] per 1-hour increase, 1.13; 95% CI, 1.04-1.23; P = .005) and higher nap frequency (AHR per additional daily nap, 1.07; 95% CI, 1.02-1.13; P = .003) at baseline were associated with increased mortality. Morning nappers had higher mortality risk compared with early afternoon nappers (AHR, 1.30; 95% CI, 1.03-1.64; P = .03). Variability in daytime nap duration was not associated with mortality after covariate adjustment (AHR per 1-hour increase, 1.01; 95% CI, 0.89-1.14; P = .93).","abstract":"$30","keywords":[],"pubmed_id":"42008265","conclusions":"","publication_date":"2026-04-21T00:00:00"},"crossref":{"DOI":"10.1001/jamanetworkopen.2026.7938","URL":"https://doi.org/10.1001/jamanetworkopen.2026.7938","ISSN":["2574-3805"],"link":[{"URL":"https://jamanetwork.com/journals/jamanetworkopen/articlepdf/2847953/gao_2026_oi_260258_1776101084.56712.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"page":"e267938","type":"journal-article","issue":"4","score":1,"title":["Objectively Measured Daytime Napping Patterns and All-Cause Mortality in Older Adults"],"author":[{"given":"Chenlu","family":"Gao","sequence":"first","affiliation":[{"name":"Department of Anesthesiology, Mass General Brigham, Harvard Medical School, Boston, Massachusetts"},{"name":"Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts"},{"name":"Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts"}]},{"given":"Ruixue","family":"Cai","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Mass General Brigham, Harvard Medical School, Boston, Massachusetts"},{"name":"Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts"}]},{"given":"Xi","family":"Zheng","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Mass General Brigham, Harvard Medical School, Boston, Massachusetts"}]},{"given":"Arlen","family":"Gaba","sequence":"additional","affiliation":[{"name":"Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts"},{"name":"Tufts Medical Center, Boston, Massachusetts"}]},{"given":"Lei","family":"Yu","sequence":"additional","affiliation":[{"name":"Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois"}]},{"given":"Aron S.","family":"Buchman","sequence":"additional","affiliation":[{"name":"Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois"}]},{"given":"David A.","family":"Bennett","sequence":"additional","affiliation":[{"name":"Rush Alzheimer’s Disease Center, Rush University Medical Center, Chicago, Illinois"}]},{"given":"Lei","family":"Gao","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Mass General Brigham, Harvard Medical School, Boston, Massachusetts"},{"name":"Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts"},{"name":"Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts"},{"name":"Broad Institute of MIT and Harvard, Cambridge, Massachusetts"}]},{"given":"Kun","family":"Hu","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Mass General Brigham, Harvard Medical School, Boston, Massachusetts"},{"name":"Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts"},{"name":"Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts"},{"name":"Broad Institute of MIT and Harvard, Cambridge, Massachusetts"}]},{"given":"Peng","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology, Mass General Brigham, Harvard Medical School, Boston, Massachusetts"},{"name":"Division of Sleep Medicine, Harvard Medical School, Boston, Massachusetts"},{"name":"Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Boston, Massachusetts"},{"name":"Broad Institute of MIT and Harvard, Cambridge, Massachusetts"}]}],"issued":{"date-parts":[[2026,4,20]]},"member":"10","prefix":"10.1001","source":"Crossref","volume":"9","created":{"date-time":"2026-04-20T15:30:42Z","timestamp":1776699042000,"date-parts":[[2026,4,20]]},"indexed":{"date-time":"2026-04-20T16:26:58Z","timestamp":1776702418729,"date-parts":[[2026,4,20]]},"subject":[],"abstract":"$31","language":"en","relation":{},"resource":{"primary":{"URL":"https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2847953"}},"subtitle":[],"deposited":{"date-time":"2026-04-20T15:30:43Z","timestamp":1776699043000,"date-parts":[[2026,4,20]]},"issn-type":[{"type":"electronic","value":"2574-3805"}],"published":{"date-parts":[[2026,4,20]]},"publisher":"American Medical Association (AMA)","reference":[{"DOI":"10.1007/s40675-020-00183-x","key":"zoi260258r1","year":"2020","issue":"3","author":"Zhang","volume":"6","first-page":"129","unstructured":null,"article-title":"Napping in older adults: a review of current 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risk.","value_numeric":null},{"paper_doi":"10.1001/jamanetworkopen.2026.7938","tag_type":"warning","value":"The cohort skews heavily female (76%) and very old (mean 81 years), which may limit applicability to younger or male-predominant populations.","value_numeric":null},{"paper_doi":"10.1001/jamanetworkopen.2026.7938","tag_type":"warning","value":"The impact_flag 'practice_changing' is applied cautiously; findings are observational and require replication before formal clinical guideline changes.","value_numeric":null}],"summaries":{"what_studied":"This prospective cohort study examined whether actigraphy-measured daytime nap duration, frequency, variability, and timing were associated with all-cause mortality in 1,338 community-dwelling adults aged ≥56 years (mean age 81.4 years), with up to 19 years of follow-up from the Rush Memory and Aging Project.","key_result":"Longer nap duration (AHR 1.13 per 1-hour increase; 95% CI, 1.04–1.23) and higher nap frequency (AHR 1.07 per additional daily nap; 95% CI, 1.02–1.13) were each independently associated with greater all-cause mortality; morning nappers had 30% higher mortality risk vs. early afternoon nappers (AHR 1.30; 95% CI, 1.03–1.64). 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Wearable actigraphy may offer a practical, objective tool for flagging at-risk older adults in clinical or public health settings."}},{"doi":"10.1016/j.pedhc.2026.01.010","pmid":"41758083","title":"Examining Gastrointestinal, Feeding, Sleep, and Anxiety-Related Disorders Among Autistic Pediatric Patients","journal_title":"Journal of Pediatric Health Care","journal_issn":"0891-5245","published_at":"2026-02-27T00:00:00.000Z","url":"https://doi.org/10.1016/j.pedhc.2026.01.010","source_score":10,"is_retracted":false,"is_open_access":false,"raw_metadata":{"pubmed":true,"crossref":true,"unpaywall":true},"created_at":"2026-09-04T06:22:11.956Z","updated_at":"2026-09-04T06:22:11.956Z","tags":[{"paper_doi":"10.1016/j.pedhc.2026.01.010","tag_type":"age_group","value":"pediatric","value_numeric":null},{"paper_doi":"10.1016/j.pedhc.2026.01.010","tag_type":"category","value":"Pediatrics","value_numeric":null},{"paper_doi":"10.1016/j.pedhc.2026.01.010","tag_type":"condition","value":"Anxiety Disorders","value_numeric":null},{"paper_doi":"10.1016/j.pedhc.2026.01.010","tag_type":"condition","value":"Autism Spectrum Disorder","value_numeric":null},{"paper_doi":"10.1016/j.pedhc.2026.01.010","tag_type":"condition","value":"Feeding Disorders","value_numeric":null},{"paper_doi":"10.1016/j.pedhc.2026.01.010","tag_type":"condition","value":"Gastrointestinal Disorders","value_numeric":null},{"paper_doi":"10.1016/j.pedhc.2026.01.010","tag_type":"condition","value":"Sleep Disorders","value_numeric":null},{"paper_doi":"10.1016/j.pedhc.2026.01.010","tag_type":"impact_flag","value":"confirms_prior","value_numeric":null},{"paper_doi":"10.1016/j.pedhc.2026.01.010","tag_type":"level_of_evidence","value":"3","value_numeric":null},{"paper_doi":"10.1016/j.pedhc.2026.01.010","tag_type":"sample_size","value":"n=3000000","value_numeric":3000000},{"paper_doi":"10.1016/j.pedhc.2026.01.010","tag_type":"sex","value":"mixed","value_numeric":null},{"paper_doi":"10.1016/j.pedhc.2026.01.010","tag_type":"study_design","value":"Retrospective Cross-Sectional Study","value_numeric":null},{"paper_doi":"10.1016/j.pedhc.2026.01.010","tag_type":"warning","value":"Published date (2026-02-27) is in the future relative to the current date context — this appears to be a 2026 journal article reviewed on the same year's date; no data integrity concern flagged.","value_numeric":null},{"paper_doi":"10.1016/j.pedhc.2026.01.010","tag_type":"warning","value":"Sample size of 3 million refers to total records in the health information exchange, not necessarily all patients included in the analytic sample.","value_numeric":null},{"paper_doi":"10.1016/j.pedhc.2026.01.010","tag_type":"warning","value":"Study design label inferred as retrospective cross-sectional based on described methods; the paper does not explicitly state this design label.","value_numeric":null},{"paper_doi":"10.1016/j.pedhc.2026.01.010","tag_type":"warning","value":"The abstract does not provide specific effect sizes, odds ratios, or confidence intervals — key_result reflects directional findings only.","value_numeric":null}],"summaries":{"what_studied":"This study examined the prevalence of gastrointestinal, feeding, sleep, and anxiety-related disorders in autistic vs. nonautistic children and adolescents, using multivariate logistic regression and controlling for social and environmental factors, drawing from a health information exchange with records on over 3 million patients in Southeastern North Carolina.","key_result":"Across all models, autistic children and adolescents were significantly more likely to have gastrointestinal, feeding, sleep, and anxiety-related disorders than their nonautistic peers; unexpected gaps in diagnoses among autistic children were also noted, suggesting possible underdiagnosis.","limitations":"- No specific odds ratios, confidence intervals, or p-values are reported in the abstract, limiting interpretation of effect size.\n- Data are from a single regional health information exchange in Southeastern North Carolina, which may limit generalizability.\n- Retrospective/administrative data design means diagnoses reflect what was coded, not necessarily what was screened for systematically.","practice_takeaway":"Clinicians caring for autistic children should proactively screen for GI, feeding, sleep, and anxiety disorders, as these co-occurring conditions appear significantly more common in this population and may be underdiagnosed in routine care."}}],"initialOffset":12,"fetchConfig":{"kind":"tags","tags":[{"tag_type":"condition","value":"Sleep Disorders"}]},"breadcrumbItems":[{"name":"Home","href":"/"},{"name":"Research Hub","href":"/hub"},{"name":"Conditions","href":"/hub/tag/condition"},{"name":"Sleep Disorders"}],"hrefConfig":{"basePath":"/hub/papers","webViewQueryParams":{"hub_ctx":"tag","hub_tag_type":"condition","hub_tag_value":"Sleep Disorders"}}}]]

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