Journal of physical activity & health最新文献

{"title":"Family Car Ownership: Driving Inactivity in Young People? Cross-Sectional and Longitudinal Analyses in the International Children's Accelerometry Database.","authors":"Esther M F Van Sluijs, Ulf Ekelund, Pedro C Hallal, Bjorge H Hansen, Jenna Panter, Jo Salmon, Stephen J Sharp, Lauren B Sherar, Andrew J Atkin","doi":"10.1123/jpah.2024-0044","DOIUrl":"10.1123/jpah.2024-0044","url":null,"abstract":"<p><strong>Background: </strong>Ubiquitous car ownership may affect children's activity and health. We assessed the cross-sectional and longitudinal associations between household car ownership and children's daily time spent sedentary (SED) and in moderate to vigorous physical activity (MVPA).</p><p><strong>Methods: </strong>Pooled cohort data were from the International Children's Accelerometry Database. Outcome measures were average daily accelerometer-measured SED and MVPA (in minutes per day). Exposures were household car ownership (none, 1, and ≥2) and change in car ownership. Associations were examined using multivariable mixed-effects linear regression.</p><p><strong>Results: </strong>Mean age of participants (N = 4193) was 10.4 years (SD = 2.0), 53.4% were girls, and mean follow-up duration (N = 1333) was 3.3 years (SD = 1.1). Cross-sectionally, household car ownership was associated with higher SED (vs none: 1 car: β = 14.1 min/d, 95% CI, 6.7-21.5; ≥2 cars: 12.8, 95% CI, 5.3-20.4) and lower MVPA (vs none: 1 car: β = -8.8, 95% CI, -11.9 to -5.7; ≥2 cars: β = -8.8, 95% CI, -12.0 to -5.7). Associations were stronger in boys than girls and in children from lower socioeconomic backgrounds (SED only). Prospectively, there were no associations with increased car ownership. Reductions in household car ownership (of which 93.1% had ≥ 2 cars at baseline) were associated with a greater reduction in MVPA (vs no change: β = -8.4, 95% CI, -13.9 to -3.0) but not SED.</p><p><strong>Conclusions: </strong>Children in households with car access were more SED and less active than those without. Losing access to a second car was associated with greater decreases in MVPA, potentially related to losing access to activity-enabling environments. Reducing car access and use are important public health targets (eg, reducing air pollution), but their potential impact on children's activity opportunities should be mitigated.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1391-1400"},"PeriodicalIF":2.9,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142468331","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding the Increases in Physical Activity Publications From 1985 to 2022: A Global Perspective.","authors":"Adrian Bauman, Karen C Lee, Michael Pratt","doi":"10.1123/jpah.2024-0050","DOIUrl":"10.1123/jpah.2024-0050","url":null,"abstract":"<p><strong>Background: </strong>A marked increase in physical activity (PA) publications has occurred since 1985. Increased publications reflect a globalization of publications and increase the difficulty of reviewing evidence and identifying effective PA strategies.</p><p><strong>Methods: </strong>Review of Scopus database publications with the title or keyword \"physical activity\" between 1985 and 2022, examining 193,335 PA publications. The choice of search strategy was standardized across the period and maximized relevant PA papers (high sensitivity).</p><p><strong>Results: </strong>The results showed 3 clear periods for increases in PA publications; an initial increase in period 1 between 1985 and 2000, a 9-fold increase in period 2 between 2001 and 2016 (from 645/y to 5876/y), and a further increase to 15,812 publications per year in period 3 between 2017 and 2022. The primary driver of this increase was the transition from publications in traditional subscription-model journals to open-access business model journals, which comprised 80% of PA publications by period 3. Although this trend was global, some countries showed greater increases through open-access publication.</p><p><strong>Discussion: </strong>These data identify a relatively unrecognized and urgent threat to the field: An exponential increase in PA publications may influence the quality of published work and increases the difficulty of finding and applying important research findings. The shift in publication patterns is contributed to by higher acceptance rates and rapid time to publication offered in open-access journals. This represents a \"commercial determinant\" of publications in the PA field, influencing the type and volume of publications without consideration of their contribution to evidence or impact.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"175-181"},"PeriodicalIF":2.9,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142502620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Scoping Review of Physical Activity Interventions Among Sexual Minority Adults: A Call to Action for Future Research.","authors":"Keegan T Peterson, Oliver W A Wilson, Shannon S C Herrick, Ginny M Frederick, Michael V Fedewa, Katherine Sullivan, Melissa Bopp","doi":"10.1123/jpah.2024-0336","DOIUrl":"10.1123/jpah.2024-0336","url":null,"abstract":"<p><p>Physical activity (PA) has a variety of well-established benefits for physical and mental health. However, there are PA disparities based on numerous sociodemographic characteristics, including sexual orientation. Mapping of PA interventions tailored to sexual minorities (ie, nonheterosexual) is currently absent from the literature.</p><p><strong>Purpose: </strong>The purpose of this scoping review was to summarize the existing interventions focused on promoting PA among sexual minority (SM) adults.</p><p><strong>Methods: </strong>A search strategy was developed in consultation with a research librarian for PubMed, Web of Science, SportDiscus, and CINAHL. The scoping review was conducted using the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews guidelines. Randomized and nonrandomized interventions that focused on increasing PA among SM adults were included. Data on study design, sample demographics, purpose of research, methodology, intervention components, theory-based constructs used, PA measures, and outcomes of the intervention were extracted.</p><p><strong>Results: </strong>Our search yielded 7289 articles, with 26 articles requiring full-text review. Four interventions were identified that focused on increasing PA among SM adults, with 2 focusing on lesbian/bisexual women, 1 focusing on lesbian/gay cancer survivors, and 1 focusing on men who have sex with men. Two of the 4 studies were successful at increasing PA, with varying psychosocial theories (ie, social cognitive theory and theory of reasoned action) and intervention strategies (ie, PA counseling, group meetings, and pedometers).</p><p><strong>Conclusion: </strong>Findings of this review demonstrate a clear lack of PA interventions targeting SM adults, limiting the available knowledge required for preventionists, practitioners, and health care professionals to effectively promote PA through behavioral modification among this group.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1286-1295"},"PeriodicalIF":2.9,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142502619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Estimating the Reduction of Socioeconomic Inequalities for a More Physically Active Society: A Cross-Sectional Study of the European Union Country Members.","authors":"Antonio Moreno-Llamas, Ernesto De la Cruz-Sánchez, Jesús García-Mayor","doi":"10.1123/jpah.2024-0232","DOIUrl":"10.1123/jpah.2024-0232","url":null,"abstract":"<p><strong>Background: </strong>Socioeconomic inequalities significantly impact the accessibility of resources necessary for physical activity, thereby influencing overall physical activity levels and contributing to broader health disparities. Nevertheless, evidence is lacking on quantifying the increase of people who would be physically active through reducing inequalities by a higher socioeconomic position.</p><p><strong>Methods: </strong>We conducted secondary data analysis on the 2017 cross-sectional survey of the European Union's population aged ≥18 years (n = 27,538). By estimating socioeconomic status percentages and odds ratios between socioeconomic status (education, occupational social class, and economic issues) and physical activity, we calculated age-standardized Prevented Fraction for Population and the total number of individuals that would meet physical activity guidelines by a higher socioeconomic status (eg, from low to middle or high socioeconomic status), along with scenarios of reduced socioeconomic disparities, controlling for age, gender, place of residence, and marital status.</p><p><strong>Results: </strong>A higher socioeconomic status could promote physical activity for a total of 93.0 (84.5-101.8) million people through university education, 28.5 million via high-ranked occupations (24.6-32.8), and 137.9 (129.5-146.2) million by less economic issues (compared with primary education, low-manual occupations, and having economic issues most of the time, respectively)-equivalent to 35.46%, 14.49%, and 55.42% of the Prevented Fraction for Population. Reducing socioeconomic inequalities by 50% could raise these estimations to 148.1 million (134.0-162.8) through education, 43.5 million (37.5-50.3) through occupation, and 223.6 million (209.3-237.8) through less economic issues.</p><p><strong>Conclusions: </strong>Enhancing access to university education, high-ranked occupations, and income impacts physical activity population levels in the European Union.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":"21 11","pages":"1197-1207"},"PeriodicalIF":2.9,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142502621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gender, Ethnicity, and Socioeconomic Inequalities in Physical Activity Throughout the Life Course: A Systematic Review of Cohort Studies.","authors":"Giulia Salaberry Leite, Charles Philipe de Lucena Alves, Otavio Amaral de Andrade Leão, Inácio Crochemore-Silva","doi":"10.1123/jpah.2024-0313","DOIUrl":"10.1123/jpah.2024-0313","url":null,"abstract":"<p><strong>Background: </strong>This study aimed to assess longitudinal changes in physical activity inequalities according to gender, socioeconomic status, and ethnicity throughout the life course.</p><p><strong>Methods: </strong>We searched PubMed, Embase, Web of Science, and Scopus databases for cohort studies addressing trajectories or monitoring physical activity at a minimum of 2 time points, presenting stratified estimates for at least 1 dimension of inequality (gender, socioeconomic status, or ethnicity). Main methodological characteristics and physical activity point estimates were extracted, enabling interpretation of the stability or increasing/decreasing inequalities over time.</p><p><strong>Results: </strong>Out of the 22 included studies in the review, none were designed or presented with specific aims addressing changes in physical activity according to the dimension of inequalities throughout the life course. Therefore, the main results and interpretation were performed according to available information. Males consistently showed a higher prevalence of physical activity than females. We observed both an increase and stability in gender inequality during childhood, followed by an increase in the transition from childhood to adolescence. During adolescence, both increase and stability in gender inequality were identified, with mixed results observed during adulthood, and in later life stages, in a limited number of studies. There is no or very limited evidence regarding ethnicity and socioeconomic status inequalities throughout the life course.</p><p><strong>Conclusion: </strong>Although none of the studies directly measured inequalities, an early emergence of gender inequalities was observed. Future research should include these dimensions as well as other social identities to enhance the understanding of inequalities throughout the life course.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1276-1285"},"PeriodicalIF":2.9,"publicationDate":"2024-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142468333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The British Preschool Children's Play Survey: When, Where, and How Adventurously Do British Preschool-Aged Children Play?","authors":"Helen F Dodd, Kathryn Hesketh","doi":"10.1123/jpah.2024-0155","DOIUrl":"10.1123/jpah.2024-0155","url":null,"abstract":"<p><strong>Background: </strong>Outdoor, adventurous play supports physical activity and might help to prevent mental health problems, yet data on preschool-aged children's outdoor play are scarce.</p><p><strong>Method: </strong>Data were collected from a nationally representative sample of 1166 parents/caregivers of children aged 2-4 years (52% male; 88% white) living in Britain. Caregivers reported time children spent playing in 7 locations and corresponding adventure level. Responses were used to derive: total play time, outdoor play time, and adventurous play time (in hours per year). Associations between sociodemographic characteristics and play outcomes were examined, controlling for relevant confounding variables.</p><p><strong>Results: </strong>Outside of childcare, preschool-aged children spent approximately 4 hours per day playing, with 1 hour 45 minutes spent playing outdoors. Most outdoor play happened in gardens at home. Away from home, children most often played in playgrounds and green spaces. Levels of adventurous play were reported to be highest at indoor play centers, followed by playgrounds and green spaces. Total play differed significantly by location, with children in rural areas spending more time playing (vs urban areas). Child ethnicity was associated with play and outdoor play, with children belonging to minority ethnic groups (vs white) playing less. Child sex was also a significant predictor of outdoor play time: boys (vs girls) spent more time playing outdoors, driven primarily by time spent in green spaces. No associations were found for adventurous play.</p><p><strong>Conclusions: </strong>These results highlight how inequalities in access to outdoor space at home and good quality local play spaces may impact young children's play opportunities and, in turn, exacerbate health inequalities.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1142-1149"},"PeriodicalIF":2.9,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142468336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gender Gap for Accelerometry-Based Physical Activity Across Different Age Groups in 5 Brazilian Cohort Studies.","authors":"Luiza I C Ricardo, Andrea Wendt, Debora Tornquist, Helen Gonçalves, Fernando Wehrmeister, Bruna Gonçalves C da Silva, Luciana Tovo-Rodrigues, Iná Santos, Aluisio Barros, Alicia Matijasevich, Pedro C Hallal, Marlos Domingues, Ulf Ekelund, Renata M Bielemann, Inácio Crochemore-Silva","doi":"10.1123/jpah.2024-0018","DOIUrl":"10.1123/jpah.2024-0018","url":null,"abstract":"<p><strong>Objectives: </strong>This study aims to evaluate the gender inequalities in accelerometer-based physical activity (PA) across different age groups using data from 5 Pelotas (Brazil) cohorts.</p><p><strong>Methods: </strong>The data come from 4 birth cohort studies, covering all live births in the urban area of Pelotas for each respective year (1982, 1993, 2004, and 2015), and the Como vai? cohort study focusing on 60 years and above. Raw accelerometry data were collected on the nondominant wrist using GENEActive/ActiGraph devices and processed with the GGIR package. Overall PA was calculated at ages 1, 2, 4, 6, 11, 15, 18, 23, 30, and 60+ years, while moderate to vigorous PA was calculated from 6 years onward. Absolute (difference) and relative (ratio) gender inequalities were calculated and intersectionality between gender and wealth was also evaluated.</p><p><strong>Results: </strong>The sample sizes per cohort ranged from 965 to 3462 participants. The mean absolute gender gap was 19.3 minutes (95% confidence interval, 12.7-25.9), with the widest gap at 18 years (32.9 min; 95% confidence interval, 30.1-35.7) for moderate to vigorous PA. The highest relative inequality was found in older adults (ratio 2.0; 95% confidence interval, 1.92-2.08). Our intersectionality results showed that the poorest men being the most active group, accumulating around 60 minutes more moderate to vigorous PA per day compared with the wealthiest women at age 18.</p><p><strong>Conclusions: </strong>Men were more physically active than women in all ages evaluated. PA gender inequalities start at an early age and intensify in transition periods of life. Relative inequalities were marked among older adults.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1158-1166"},"PeriodicalIF":2.9,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142468332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Are the Relationships of Physical Activity and Television Viewing Time With Mortality Robust to Confounding? A Study, Utilizing E-Values, From the Melbourne Collaborative Cohort Study.","authors":"Baldwin Pok Man Kwan, Brigid M Lynch, Lara Edbrooke, Allison Hodge, Christopher T V Swain","doi":"10.1123/jpah.2024-0218","DOIUrl":"10.1123/jpah.2024-0218","url":null,"abstract":"<p><strong>Background: </strong>Physical activity and sedentary behavior are associated with health outcomes. However, evidence may be affected by confounding bias. This study aimed to examine the relationships of physical activity and television (TV) viewing time with all-cause, cardiovascular, and cancer mortality in a cohort of Australian adults, and determine the robustness of these relationships to residual and unmeasured confounding.</p><p><strong>Methods: </strong>Data from 27,317 Melbourne Collaborative Cohort Study participants (mean age = 66) were used. Physical activity was assessed using the International Physical Activity Questionnaire-Short Form and categorized as insufficient, sufficient, or more than sufficient. TV viewing time was categorized as low, moderate, or high. Multivariable Cox regression models were used to evaluate associations of interest. E-values were calculated to assess the strength of unmeasured confounders required to negate the observed results.</p><p><strong>Results: </strong>For highest versus lowest physical activity category, the hazard ratio was 0.67 (95% confidence interval, 0.56-0.81) for all-cause mortality; E-values ranged between 1.79 and 2.44. Results were similar for cardiovascular mortality; however, hazard ratios were lower (0.72; 95% confidence interval, 0.51-1.01) and E-values much smaller (1.00-2.12) for cancer mortality. For highest versus lowest TV viewing time category, the hazard ratio was 1.08 (1.01-1.15) for all-cause mortality; E-values ranged between 1.00 and 1.37. Results were similar for cardiovascular and cancer mortality.</p><p><strong>Conclusions: </strong>Physical activity and TV viewing time were associated with mortality. The robustness to unmeasured/residual confounding was moderate for physical activity (all-cause and cardiovascular mortality), but weaker for physical activity (cancer mortality) and TV viewing time in this study of Australian adults.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1105-1113"},"PeriodicalIF":2.9,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142348899","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Erratum. Are the Relationships of Physical Activity and Television Viewing Time With Mortality Robust to Confounding? A Study, Utilizing E-Values, From the Melbourne Collaborative Cohort Study.","authors":"","doi":"10.1123/jpah.2024-0675","DOIUrl":"10.1123/jpah.2024-0675","url":null,"abstract":"","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1216"},"PeriodicalIF":2.9,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142391393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Striving for Global Consensus: A Systematic Review of Social Return on Investment Applied to Physical Activity and Sport.","authors":"Inés Nieto, Xián Mayo, Larissa Davies, Lindsey Reece, Ben Strafford, Alfonso Jimenez","doi":"10.1123/jpah.2024-0174","DOIUrl":"10.1123/jpah.2024-0174","url":null,"abstract":"<p><strong>Background: </strong>Physical activity and sport (PAS) have been related to health and social benefits, but their monetary value remains unclear. This systematic review on the social return on investment of PAS aimed to find what are the social outcomes measured in previous PAS literature and how are these measured and valued.</p><p><strong>Methods: </strong>A systematic search was conducted on WoS, PubMed, and EconLit. Articles in English, measuring the social value of any type of PAS in monetary terms and utilizing a social return on investment framework, were included. Risk of bias was evaluated using the Drummond checklist. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed.</p><p><strong>Results: </strong>Fifty-five documents (2010-2022), from all continents except America, were included; only 8 were published in peer-reviewed journals, whereas 47 were reports. Most studies evaluated the benefits of specific programs, and 6 measured the engagement in PAS at the population level based on national or community surveys. The social outcomes identified were health (94.5%), crime (50.9%), education (83.6%), subjective well-being (89.1%), social capital (60%), and other (3.6%-23.6%). The valuation methods included willingness to pay, well-being valuation, the cost of an activity that could result in the same outcome, and cost databases associating outcomes with a monetary value.</p><p><strong>Conclusions: </strong>This study updates a previous review and widens the scope by answering the question of how social outcomes are measured and valued in previous PAS literature. Given the heterogeneity found in the application of the method, this review will inform a Delphi study to reach a Global Consensus Statement on the measurement of social value and PAS.</p>","PeriodicalId":16812,"journal":{"name":"Journal of physical activity & health","volume":" ","pages":"1246-1262"},"PeriodicalIF":2.9,"publicationDate":"2024-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142391397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}