Sleep Health最新文献

{"title":"Sleep homeostasis occurs in a naturalistic setting","authors":"Péter P. Ujma PhD,&nbsp;Róbert Bódizs PhD","doi":"10.1016/j.sleh.2025.01.007","DOIUrl":"10.1016/j.sleh.2025.01.007","url":null,"abstract":"<div><h3>Background</h3><div>Sleep, especially non-rapid eye movement sleep depth is homeostatically regulated, as sleep pressure builds up during wakefulness and diminishes during deep sleep. Previous evidence from this phenomenon, however, mainly stems from experimental studies which may not generalize to an ecologically valid setting.</div></div><div><h3>Methods</h3><div>In the current study, we used a dataset of 246 individuals sleeping for at least seven nights each with a mobile electroencephalography headband according to their ordinary daily schedule to investigate the effect of time spent in wakefulness on sleep characteristics.</div></div><div><h3>Results</h3><div>Increased time in wakefulness prior to sleep was associated with decreased sleep onset latency, increased sleep efficiency, a larger percentage of N3 sleep, and higher delta activity. Moreover, increased sleep pressure resulted in an increase in both the slope and the intercept of the sleep electroencephalography spectrum. As predicted, power spectral density effects were most prominent in the earliest hours of sleep.</div></div><div><h3>Conclusion</h3><div>Our results demonstrate that experimental findings showing increased sleep depth after extended wakefulness generalize to ecologically valid settings, and that time spent awake is an important determinant of sleep characteristics on the subsequent night. Our findings are evidence for the efficacy of sleep restriction, a behavioral technique already widely used in clinical settings, as a simple but powerful method to improve the objective quality of sleep in those with sleep problems.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 3","pages":"Pages 335-343"},"PeriodicalIF":3.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143568485","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}

{"title":"Napping, sleep and affect in late- and short- sleeping adolescents: An actigraphy and daily diary study","authors":"Elizabeth M. Rea PhD ,&nbsp;Amy M. Bohnert PhD ,&nbsp;Stephanie J. Crowley PhD","doi":"10.1016/j.sleh.2025.03.003","DOIUrl":"10.1016/j.sleh.2025.03.003","url":null,"abstract":"<div><h3>Objectives</h3><div>Adolescents in the United States do not typically attain enough sleep at night due to a combination of factors, including biological maturation and academic and social commitments. This lack of sleep leads to poor cognitive, mental, and physical health outcomes. Naps may compensate for inadequate sleep, however, little is known about how napping affects nocturnal sleep and mood over time among adolescents who are poor sleepers.</div></div><div><h3>Methods</h3><div>The present study used daily diary and actigraphy data collected over 15<!--> <!-->days in a sample of late- and short-sleeping adolescents (n<!--> <!-->=<!--> <!-->99; M_age <!-->=<!--> <!-->15.9<!--> <!-->years; 55% Female; 46% White, 30% Black, and 24% Multiracial/Other). Multilevel modeling was utilized to examine daily associations between daytime napping and subsequent nocturnal sleep outcomes, controlling for previous night sleep. Sex was explored as a moderator.</div></div><div><h3>Results</h3><div>The majority of participants (76%) napped at least once during the study period, and almost one-fifth of the sample demonstrated “habitual” or frequent napping. Nap occurrence was associated with a decrease in total sleep time by 27 minutes as well as later sleep onset time that night. Later nap offset time was associated with later nocturnal sleep onset time, and longer nap duration was associated with later nocturnal sleep onset time and lower sleep efficiency. Napping was unrelated to affect. Sex did not moderate any relations between napping and nocturnal sleep or affect.</div></div><div><h3>Conclusions</h3><div>The findings indicate that napping is common and generally associated with worse nocturnal sleep outcomes among a sample of late- and short-sleeping adolescents.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 3","pages":"Pages 317-325"},"PeriodicalIF":3.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143988610","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}

{"title":"Insufficient sleep in the Danish adult population: A 10-year trend analysis","authors":"Hannah Ahrensberg MSc ,&nbsp;Sofie Rossen Møller MSc ,&nbsp;Anne Illemann Christensen PhD ,&nbsp;Susan Andersen PhD ,&nbsp;Christina Bjørk Petersen PhD","doi":"10.1016/j.sleh.2025.03.005","DOIUrl":"10.1016/j.sleh.2025.03.005","url":null,"abstract":"<div><h3>Objectives</h3><div>To examine (1) trends in insufficient sleep among adults in Denmark from 2013 to 2023; (2) sociodemographic characteristics associated with insufficient sleep; and (3) self-reported reasons for insufficient sleep.</div></div><div><h3>Methods</h3><div>Data were derived from the nationally representative Danish Health and Morbidity Surveys conducted in 2013, 2017, 2021, and 2023. In each wave 25,000 individuals aged 16 years or older were invited to participate (response proportions: 40%-60%). Insufficient sleep was measured as never or almost never getting enough sleep to feel well-rested.</div></div><div><h3>Results</h3><div>The proportions reporting insufficient sleep increased from 10.3% in 2013 to 15.9% in 2023. Consistently, a higher proportion was observed among women, and among the younger age groups (age 16-44<!--> <!-->years). A clear social gradient was observed, with higher odds of insufficient sleep among those with &lt;10<!--> <!-->years education (OR 2.13, 95% CI: 1.91; 2.37) compared to those with ≥15<!--> <!-->years of education. Self-reported reasons for insufficient sleep varied slightly across survey waves. In 2023, primary reasons included thoughts and worries related to family or personal matters (44.4%) and getting to bed too late due to entertainment from digital devices (35.5%). However, the specific reasons varied by sex and age groups.</div></div><div><h3>Conclusions</h3><div>The proportion of adults reporting insufficient sleep has increased substantially over the past decade. Clear and consistent sex and age differences, as well as social inequalities in insufficient sleep in all waves indicate the need for targeted initiatives promoting sleep health.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 3","pages":"Pages 364-370"},"PeriodicalIF":3.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144051909","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}

{"title":"NSF Sleep Health TImes","authors":"","doi":"10.1016/S2352-7218(25)00114-7","DOIUrl":"10.1016/S2352-7218(25)00114-7","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 3","pages":"Page 402"},"PeriodicalIF":3.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144203792","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}

{"title":"Understanding sleep health in Black American adults: A qualitative analysis of barriers, facilitators, and perspectives on sleep interventions","authors":"Lauren E. Barber PhD, MSc,&nbsp;Daekiara Smith-Ireland MPH,&nbsp;Bassey Enun MD,&nbsp;Dayna A. Johnson PhD, MPH","doi":"10.1016/j.sleh.2025.02.007","DOIUrl":"10.1016/j.sleh.2025.02.007","url":null,"abstract":"<div><h3>Objectives</h3><div>Black Americans have a high prevalence of poor sleep health. Understanding their perceptions about sleep could identify determinants of poor sleep in this population and inform culturally tailored interventions. However, qualitative data are lacking. Using focus groups, we assessed Black American adults’ sleep perceptions, facilitators/barriers to sleep, beliefs about sleep recommendations, and perspectives on sleep interventions.</div></div><div><h3>Methods</h3><div>Participants (N<!--> <!-->=<!--> <!-->36) attended online focus groups to discuss their perceptions and knowledge about sleep. A semistructured discussion guide was used to direct the conversation. Focus group data were transcribed and analyzed using a rapid analytic approach to identify themes.</div></div><div><h3>Results</h3><div>Mean age of participants was 34 (SD<!--> <!-->=<!--> <!-->13.1) years, and 64% identified as women. Women and men slept less than the recommended hours of sleep (average sleep duration of 6.4 and 6.9 hours, respectively). Most participants defined healthy sleep as quality over quantity and viewed sleep as an important contributor to health and well-being. Exercise, limiting screen time, and suitable sleep environments were common perceived healthy sleep facilitators. Some participants misperceived electronic use and cosleeping, maladaptive strategies to cope with stress, as facilitators. Stress, responsibilities, electronic use, and unsuitable sleep environments were barriers. Participants wished to obtain personalized, racially tailored healthy sleep recommendations through highly accessible modes of dissemination (e.g., social media, websites).</div></div><div><h3>Conclusions</h3><div>The findings suggest study participants valued quality sleep. However, stress, responsibilities, and sleep-hindering behaviors may contribute to poor sleep health. Targeting stress reduction, healthy sleep behaviors, and disseminating racially tailored information through accessible modes may be useful sleep intervention strategies in this community.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 3","pages":"Pages 265-274"},"PeriodicalIF":3.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143774556","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}

{"title":"Association of different folate statuses with sleep disturbances in adults in the US: Data from NHANES 2007-2016","authors":"Jiayuan Tu MD ,&nbsp;Xiaoqiao Mo MD ,&nbsp;Zihao Chen MD ,&nbsp;Lijuan Xi MD ,&nbsp;Chunhui Wu MD ,&nbsp;Tian Xie MD ,&nbsp;Yongzhuang Chen MD","doi":"10.1016/j.sleh.2025.01.005","DOIUrl":"10.1016/j.sleh.2025.01.005","url":null,"abstract":"<div><h3>Objective</h3><div>To explore the associations between three folate statuses (folate intake, serum folate, and red blood cell folate) and sleep disturbances in adults.</div></div><div><h3>Methods</h3><div>Trends in sleep disturbances in five consecutive cycles were evaluated using Cochran–Armitage tests. Survey-weighted logistic regression models, restricted cubic spline models, and interaction analysis were used to evaluate the associations between different statuses of folate and sleep disturbances.</div></div><div><h3>Results</h3><div>This cross-sectional study included 20,200 eligible adults from five cycles of NHANES (2007-2016). The overall crude prevalence of sleep disturbances increased over time from 25.8% (95% confidence intervals, 23.6%, 28.0%) in 2007-2008 to 29.3% (95% confidence intervals, 25.9%, 32.9%) in 2015-2016 (<em>P</em> for trend &lt;.001). In adjusted, weighted multivariable regression models, compared to the second quartile (Q2), lower folate intake levels (Q1, odds ratio<!--> <!-->=<!--> <!-->1.22, 95% confidence intervals: 1.06, 1.40), higher folate intake levels (Q4, odds ratio<!--> <!-->=<!--> <!-->1.18, 95% confidence intervals: 1.01, 1.38), and higher red blood cell folate levels (Q4, odds ratio<!--> <!-->=<!--> <!-->1.17, 95% confidence intervals: 1.03, 1.33) were independently associated with higher odds of sleep disturbances. The restricted cubic spline models revealed U-shaped, nonlinear associations between different folate statuses and the risk of sleep disturbances. A daily folate intake of approximately 439 mcg, a serum folate concentration of approximately 35<!--> <!-->nom/L, and an red blood cell folate concentration of approximately 886<!--> <!-->nmol/L were associated with the lowest risk of sleep disturbances. The results were robust in interaction and sensitivity analyses.</div></div><div><h3>Conclusions</h3><div>We observed U-shaped associations between folate intake, serum folate, red blood cell folate, and sleep disturbances among US adults.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 3","pages":"Pages 326-334"},"PeriodicalIF":3.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143517110","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}

{"title":"ChatGPT's role in sleep health: Informative or misleading","authors":"Mila Yunita MPd,&nbsp;Palasara Brahmani Laras MPd,&nbsp;Fiki Prayogi MPd,&nbsp;Inas Afifah Zahra SE, SPd, SThI, MSi,&nbsp;Ilham Khairi Siregar Dr","doi":"10.1016/j.sleh.2025.02.008","DOIUrl":"10.1016/j.sleh.2025.02.008","url":null,"abstract":"","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 3","pages":"Pages 254-255"},"PeriodicalIF":3.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144043568","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}

{"title":"Temporal changes in sleep parameters and body mass index after using a sleep-tracking app with gamification","authors":"Masao Iwagami MD, MPH, MSc, PhD ,&nbsp;Jaehoon Seol PhD ,&nbsp;Masashi Yanagisawa MD, PhD","doi":"10.1016/j.sleh.2025.03.001","DOIUrl":"10.1016/j.sleh.2025.03.001","url":null,"abstract":"<div><h3>Objectives</h3><div>We examined whether sleep parameters would improve with a sleep-tracking game app and whether the participants’ improvement was associated with changes in their body mass index.</div></div><div><h3>Methods</h3><div>We analyzed data from 2063 volunteer Japanese participants (mean age 38.3<!--> <!-->±<!--> <!-->10.7<!--> <!-->years, 82.1% female) who used both the Pokémon Sleep and Asken apps for ≥90<!--> <!-->days.</div></div><div><h3>Results</h3><div>During the 90<!--> <!-->days after starting the Pokémon Sleep app, on average, total sleep time increased by approximately 0.8 hour from 5.5 to 6.3 hours. Calculating the slopes for individuals, improvements were noted for total sleep time, sleep latency, percentage of wakefulness after sleep onset, and bedtime among 45.3%, 18.1%, 24.4%, and 21.3% of the participants, respectively. Body mass index tended to decrease faster in participants with improved total sleep time, sleep latency, and bedtime.</div></div><div><h3>Conclusions</h3><div>A sleep-tracking game app improved sleep parameters of some users, and this improvement was associated with a decrease in body mass index.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 3","pages":"Pages 275-278"},"PeriodicalIF":3.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144041858","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}

{"title":"Associations of a multidimensional polygenic sleep health score and a sleep lifestyle index with disease outcomes and their interaction in a clinical biobank","authors":"Valentina Paz MSc ,&nbsp;Hannah Wilcox BSc ,&nbsp;Matthew Goodman PhD ,&nbsp;Heming Wang PhD ,&nbsp;Victoria Garfield PhD ,&nbsp;Richa Saxena PhD ,&nbsp;Hassan S. Dashti PhD","doi":"10.1016/j.sleh.2025.02.009","DOIUrl":"10.1016/j.sleh.2025.02.009","url":null,"abstract":"<div><h3>Objectives</h3><div>Sleep is a complex behavior regulated by genetic and environmental factors impacting disease outcomes. However, the effect of multidimensional sleep encompassing several sleep dimensions on common diseases, specifically mental health disorders, has yet to be fully elucidated. Using the Mass General Brigham Biobank, we examined the association of multidimensional sleep with disease outcomes and investigated whether sleep behaviors modulate genetic predisposition to unfavorable sleep on mental health diseases.</div></div><div><h3>Methods</h3><div>We generated a Polygenic Sleep Health Score using previously identified single nucleotide polymorphisms and constructed a Sleep Lifestyle Index based on self-reported questions and electronic health records; tested their association; performed phenome-wide association analyses between these indexes and clinical phenotypes; and analyzed their interaction on prevalent mental health diseases. A total of 15,884 participants were included in the analysis (mean age 54.4; 58.6% female).</div></div><div><h3>Results</h3><div>The Polygenic Sleep Health Score was associated with the Sleep Lifestyle Index (β<!--> <!-->=<!--> <!-->0.050, 95% CI<!--> <!-->=<!--> <!-->0.032, 0.068) and with 114 disease outcomes spanning 12 disease groups, including obesity, sleep, and substance use disease outcomes (p<!--> <!-->&lt;<!--> <!-->3.3<!--> <!-->×<!--> <!-->10⁻⁵). The Sleep Lifestyle Index was associated with 458 disease outcomes spanning 17 groups, including sleep, mood, and anxiety disease outcomes (p<!--> <!-->&lt;<!--> <!-->5.1<!--> <!-->×<!--> <!-->10⁻⁵). A total of 108 disease outcomes were associated with both indexes, spanning 12 disease groups. No interactions were found between the indexes on mental health diseases.</div></div><div><h3>Conclusions</h3><div>Favorable sleep behaviors and genetic predisposition to healthy sleep may independently protect against disease, underscoring the impact of multidimensional sleep on population health and the need for prevention strategies focused on healthy sleep habits.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 3","pages":"Pages 354-363"},"PeriodicalIF":3.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144042636","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}

{"title":"An ecological analysis of sleep health across five African-origin populations spanning the epidemiologic transition","authors":"Candice Choo-Kang MPH ,&nbsp;Stephanie J. Crowley PhD ,&nbsp;Sirimon Reutrakul MD ,&nbsp;Dale E. Rae PhD ,&nbsp;Estelle V. Lambert PhD ,&nbsp;Nandipha Sinyanya ,&nbsp;Pascal Bovet MD ,&nbsp;Bharathi Viswanathan RN, MBA ,&nbsp;Kweku Bedu-Addo PhD ,&nbsp;Jacob Plange-Rhule MD ,&nbsp;Prince Oti-Boateng BA ,&nbsp;Oscar Akunor Dei BS ,&nbsp;Kingsley Apusiga MSc ,&nbsp;Terrence E. Forrester MBBS, DM, PhD ,&nbsp;Marie Williams MD ,&nbsp;Michaela Deglon MSc ,&nbsp;Jack A. Gilbert PhD ,&nbsp;Brian T. Layden MD, PhD ,&nbsp;Cara Joyce PhD ,&nbsp;Amy Luke PhD ,&nbsp;Lara R. Dugas PhD, MPH","doi":"10.1016/j.sleh.2025.02.002","DOIUrl":"10.1016/j.sleh.2025.02.002","url":null,"abstract":"<div><h3>Background</h3><div>Sleep health is emerging as a public health priority due to its strong associations with several key domains of health. However, most of the existing literature are from studies located in high income settings and may not be representative of low-middle income settings. Leveraging the Modeling the Epidemiologic Transition Study, a study of cardiometabolic disease risk in five diverse African-origin populations, we explored differences in objectively measured sleep behavior across cohorts from Ghana, South Africa, Jamaica, Seychelles, and the United States.</div></div><div><h3>Methods</h3><div>Data from 809 participants (35-55 years old, 63% women) from the 5 Modeling the Epidemiologic Transition Study research sites were included. Objectively-measured sleep, using actigraphy, was scored according to the criteria of Patel and colleagues. For those with at least 5 nights of valid data, ecological mean sleep onset time, wake-up time, sleep duration, wake after sleep onset, and sleep efficiency were examined.</div></div><div><h3>Findings</h3><div>Adjusted models indicate that sleep onset was earlier in all sites when compared to US (<em>p</em> <!-->&lt;<!--> <!-->.005). Sleep efficiency varied by locations, being lower in participants from Ghana, South Africa, and Jamaica when compared to United States (Ghana β: −<!--> <!-->3.7, South Africa: −<!--> <!-->5.8, Jamaica: −<!--> <!-->1.3, <em>p</em> <!-->&lt;<!--> <!-->.05 for all) and higher in Seychelles when compared to United States (Seychelles β: 1.6; <em>p</em> <!-->=<!--> <!-->.02). Women presented with shorter sleep duration but with higher sleep efficiency.</div></div><div><h3>Interpretation</h3><div>Sleep duration, timing (wake time, midsleep time and sleep onset), and efficiency differ by country and sex, likely driven by socio-economic settings. Understanding sleep patterns in different contexts is needed to make informed and culturally appropriate health recommendations.</div></div>","PeriodicalId":48545,"journal":{"name":"Sleep Health","volume":"11 3","pages":"Pages 344-353"},"PeriodicalIF":3.4,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143781541","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}