Associations between screen time, physical activity, and depressive symptoms during the 2019 coronavirus disease (COVID-19) outbreak among Chinese college students View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2021-11-02

AUTHORS

Yi Zhang, Xiaoyan Wu, Shuman Tao, Shiyue Li, Le Ma, Yizhen Yu, Guilong Sun, Tingting Li, Fangbiao Tao

ABSTRACT

BACKGROUND: The 2019 novel coronavirus disease (COVID-19) emerges in China, which spreads rapidly and becomes a public health emergency of international concern. Chinese government has promptly taken quarantine measures to block the transmission of the COVID-19, which may cause deleterious consequences on everyone's behaviors and psychological health. Few studies have examined the associations between behavioral and mental health in different endemic areas. This study aimed to describe screen time (ST), physical activity (PA), and depressive symptoms, as well as their associations among Chinese college students according to different epidemic areas. METHODS: The study design is cross-sectional using online survey, from 4 to 12 February 2020, 14,789 college students accomplished this online study, participants who did not complete the questionnaire were excluded, and finally this study included 11,787 college students from China. RESULTS: The average age of participants was 20.51 ± 1.88 years. 57.1% of the college students were male. In total, 25.9% of college students reported depression symptoms. ST > 4 h/day was positively correlated with depressive symptoms (β = 0.48, 95%CI 0.37-0.59). COVID-19ST > 1 h/day was positively correlated with depressive symptoms (β = 0.54, 95%CI 0.43-0.65), compared with COVID-19ST ≤ 0.5 h/day. Compared with PA ≥ 3 day/week, PA < 3 day/week was positively associated with depression symptoms (β = 0.01, 95%CI 0.008-0.012). Compared with low ST and high PA, there was an interaction association between high ST and low PA on depression (β = 0.31, 95%CI 0.26-0.36). Compared with low COVID-19ST and high PA, there was an interaction association between high COVID-19ST and low PA on depression (β = 0.37, 95%CI 0.32-0.43). There were also current residence areas differences. CONCLUSIONS: Our findings identified that high ST or low PA was positively associated with depressive symptoms independently, and there was also an interactive effect between ST and PA on depressive symptoms. More... »

PAGES

107

References to SciGraph publications

  • 2008-08-23. Physical activity, exercise, depression and anxiety disorders in JOURNAL OF NEURAL TRANSMISSION
  • 2010-05-11. Systematic review of the health benefits of physical activity and fitness in school-aged children and youth in INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY
  • 2019-01-26. Physical activity and sleep quality in relation to mental health among college students in SLEEP AND BREATHING
  • 1978-03. The effects of prolonged handling, scopolamine, and physostigmine on the activity of isolated and socially reared rats in COGNITIVE, AFFECTIVE, & BEHAVIORAL NEUROSCIENCE
  • 2018-02-12. Prevalence of Depression in the Community from 30 Countries between 1994 and 2014 in SCIENTIFIC REPORTS
  • 2011-09-21. Systematic review of sedentary behaviour and health indicators in school-aged children and youth in INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY
  • 2013-09-24. Associations of sedentary behavior and physical activity with psychological distress: a cross-sectional study from Singapore in BMC PUBLIC HEALTH
  • 2010-05-28. Physical activity and depressive symptoms in adolescents: a prospective study in BMC MEDICINE
  • 2019-12-23. Mental health and its influencing factors among left-behind children in South China: a cross-sectional study in BMC PUBLIC HEALTH
  • 2016-11-07. The relationship between screen time, nighttime sleep duration, and behavioural problems in preschool children in China in EUROPEAN CHILD & ADOLESCENT PSYCHIATRY
  • 2010-04-01. Role of physical and sedentary activities in the development of depressive symptoms in early adolescence in SOCIAL PSYCHIATRY AND PSYCHIATRIC EPIDEMIOLOGY
  • 2001-09. The PHQ-9 in JOURNAL OF GENERAL INTERNAL MEDICINE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12199-021-01025-0

    DOI

    http://dx.doi.org/10.1186/s12199-021-01025-0

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1142333607

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/34727892


    Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
    Incoming Citations Browse incoming citations for this publication using opencitations.net

    JSON-LD is the canonical representation for SciGraph data.

    TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Public Health and Health Services", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Adult", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "COVID-19", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "China", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cross-Sectional Studies", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Depression", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Exercise", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Female", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Humans", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Male", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Mental Health", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Screen Time", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Students", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Time Factors", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Universities", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Young Adult", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No. 81 Meishan Road, Hefei, 230032 Anhui China", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032 Anhui China", 
                "MOE Key Laboratory of Population Health Across Life Cycle, No. 81 Meishan Road, Hefei, 230032 Anhui China", 
                "NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No. 81 Meishan Road, Hefei, 230032 Anhui China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Zhang", 
            "givenName": "Yi", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No. 81 Meishan Road, Hefei, 230032 Anhui China", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032 Anhui China", 
                "MOE Key Laboratory of Population Health Across Life Cycle, No. 81 Meishan Road, Hefei, 230032 Anhui China", 
                "NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No. 81 Meishan Road, Hefei, 230032 Anhui China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Wu", 
            "givenName": "Xiaoyan", 
            "id": "sg:person.0622174611.83", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0622174611.83"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Nephrology, The Second Hospital of Anhui Medical University, 678 Furong Road, Hefei, 230601 Anhui China", 
              "id": "http://www.grid.ac/institutes/grid.452696.a", 
              "name": [
                "Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032 Anhui China", 
                "MOE Key Laboratory of Population Health Across Life Cycle, No. 81 Meishan Road, Hefei, 230032 Anhui China", 
                "Department of Nephrology, The Second Hospital of Anhui Medical University, 678 Furong Road, Hefei, 230601 Anhui China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tao", 
            "givenName": "Shuman", 
            "id": "sg:person.014101575515.71", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014101575515.71"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "School of Health Sciences, Wuhan University, Wuhan, 430071 Hubei China", 
              "id": "http://www.grid.ac/institutes/grid.49470.3e", 
              "name": [
                "School of Health Sciences, Wuhan University, Wuhan, 430071 Hubei China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Li", 
            "givenName": "Shiyue", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "School of Public Health, Xi\u2019an Jiaotong University Health Science Center, 76 Yanta West Road, Xi\u2019an, China", 
              "id": "http://www.grid.ac/institutes/grid.43169.39", 
              "name": [
                "School of Public Health, Xi\u2019an Jiaotong University Health Science Center, 76 Yanta West Road, Xi\u2019an, China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Ma", 
            "givenName": "Le", 
            "id": "sg:person.014042242425.57", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014042242425.57"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Hangkong Road 13, Wuhan, 430030 Hubei China", 
              "id": "http://www.grid.ac/institutes/grid.33199.31", 
              "name": [
                "Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Hangkong Road 13, Wuhan, 430030 Hubei China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Yu", 
            "givenName": "Yizhen", 
            "id": "sg:person.01157057350.97", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157057350.97"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "South-Central Minzu University, 182 Minyuan Road, Wuhan, 430074 Hubei China", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "South-Central Minzu University, 182 Minyuan Road, Wuhan, 430074 Hubei China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sun", 
            "givenName": "Guilong", 
            "id": "sg:person.011720034225.42", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011720034225.42"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No. 81 Meishan Road, Hefei, 230032 Anhui China", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No. 81 Meishan Road, Hefei, 230032 Anhui China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Li", 
            "givenName": "Tingting", 
            "id": "sg:person.014152470775.00", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014152470775.00"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No. 81 Meishan Road, Hefei, 230032 Anhui China", 
              "id": "http://www.grid.ac/institutes/None", 
              "name": [
                "Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032 Anhui China", 
                "MOE Key Laboratory of Population Health Across Life Cycle, No. 81 Meishan Road, Hefei, 230032 Anhui China", 
                "NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No. 81 Meishan Road, Hefei, 230032 Anhui China"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Tao", 
            "givenName": "Fangbiao", 
            "id": "sg:person.01054760170.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01054760170.13"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/s41598-018-21243-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100868110", 
              "https://doi.org/10.1038/s41598-018-21243-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12889-019-8066-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1123615093", 
              "https://doi.org/10.1186/s12889-019-8066-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1046/j.1525-1497.2001.016009606.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1002964461", 
              "https://doi.org/10.1046/j.1525-1497.2001.016009606.x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00702-008-0092-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027292647", 
              "https://doi.org/10.1007/s00702-008-0092-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00127-010-0208-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046328013", 
              "https://doi.org/10.1007/s00127-010-0208-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1741-7015-8-32", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012622671", 
              "https://doi.org/10.1186/1741-7015-8-32"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1479-5868-8-98", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042523421", 
              "https://doi.org/10.1186/1479-5868-8-98"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1479-5868-7-40", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036744942", 
              "https://doi.org/10.1186/1479-5868-7-40"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1471-2458-13-885", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1008993569", 
              "https://doi.org/10.1186/1471-2458-13-885"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00787-016-0912-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022083560", 
              "https://doi.org/10.1007/s00787-016-0912-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.3758/bf03326698", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042693499", 
              "https://doi.org/10.3758/bf03326698"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11325-019-01780-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1111666455", 
              "https://doi.org/10.1007/s11325-019-01780-z"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2021-11-02", 
        "datePublishedReg": "2021-11-02", 
        "description": "BACKGROUND: The 2019 novel coronavirus disease (COVID-19) emerges in China, which spreads rapidly and becomes a public health emergency of international concern. Chinese government has promptly taken quarantine measures to block the transmission of the COVID-19, which may cause deleterious consequences on everyone's behaviors and psychological health. Few studies have examined the associations between behavioral and mental health in different endemic areas. This study aimed to describe screen time (ST), physical activity (PA), and depressive symptoms, as well as their associations among Chinese college students according to different epidemic areas.\nMETHODS: The study design is cross-sectional using online survey, from 4 to 12 February 2020, 14,789 college students accomplished this online study, participants who did not complete the questionnaire were excluded, and finally this study included 11,787 college students from China.\nRESULTS: The average age of participants was 20.51 \u00b1 1.88 years. 57.1% of the college students were male. In total, 25.9% of college students reported depression symptoms. ST > 4 h/day was positively correlated with depressive symptoms (\u03b2 = 0.48, 95%CI 0.37-0.59). COVID-19ST > 1 h/day was positively correlated with depressive symptoms (\u03b2 = 0.54, 95%CI 0.43-0.65), compared with COVID-19ST \u2264 0.5 h/day. Compared with PA \u2265 3 day/week, PA < 3 day/week was positively associated with depression symptoms (\u03b2 = 0.01, 95%CI 0.008-0.012). Compared with low ST and high PA, there was an interaction association between high ST and low PA on depression (\u03b2 = 0.31, 95%CI 0.26-0.36). Compared with low COVID-19ST and high PA, there was an interaction association between high COVID-19ST and low PA on depression (\u03b2 = 0.37, 95%CI 0.32-0.43). There were also current residence areas differences.\nCONCLUSIONS: Our findings identified that high ST or low PA was positively associated with depressive symptoms independently, and there was also an interactive effect between ST and PA on depressive symptoms.", 
        "genre": "article", 
        "id": "sg:pub.10.1186/s12199-021-01025-0", 
        "inLanguage": "en", 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1115673", 
            "issn": [
              "1342-078X", 
              "1347-4715"
            ], 
            "name": "Environmental Health and Preventive Medicine", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "26"
          }
        ], 
        "keywords": [
          "low physical activity", 
          "high physical activity", 
          "days/week", 
          "physical activity", 
          "depressive symptoms", 
          "high screen time", 
          "screen time", 
          "depression symptoms", 
          "lower screen time", 
          "different endemic areas", 
          "public health emergency", 
          "novel coronavirus disease", 
          "coronavirus disease (COVID-19) outbreak", 
          "interaction associations", 
          "endemic areas", 
          "average age", 
          "coronavirus disease", 
          "symptoms", 
          "study design", 
          "health emergency", 
          "epidemic areas", 
          "mental health", 
          "COVID-19", 
          "COVID", 
          "psychological health", 
          "deleterious consequences", 
          "association", 
          "weeks", 
          "depression", 
          "days", 
          "disease outbreaks", 
          "health", 
          "international concern", 
          "participants", 
          "online survey", 
          "different epidemic areas", 
          "study", 
          "disease", 
          "college students", 
          "age", 
          "quarantine measures", 
          "activity", 
          "questionnaire", 
          "emergency", 
          "outbreak", 
          "area differences", 
          "online study", 
          "Chinese college students", 
          "years", 
          "findings", 
          "differences", 
          "time", 
          "measures", 
          "interactive effects", 
          "effect", 
          "area", 
          "survey", 
          "transmission", 
          "concern", 
          "consequences", 
          "China", 
          "students", 
          "behavior", 
          "design", 
          "Chinese government", 
          "government", 
          "low COVID", 
          "high COVID", 
          "current residence areas differences", 
          "residence areas differences"
        ], 
        "name": "Associations between screen time, physical activity, and depressive symptoms during the 2019 coronavirus disease (COVID-19) outbreak among Chinese college students", 
        "pagination": "107", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1142333607"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s12199-021-01025-0"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "34727892"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s12199-021-01025-0", 
          "https://app.dimensions.ai/details/publication/pub.1142333607"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-01-01T18:57", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20220101/entities/gbq_results/article/article_883.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1186/s12199-021-01025-0"
      }
    ]
     

    Download the RDF metadata as:  json-ld nt turtle xml License info

    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular format for linked data which is fully compatible with JSON.

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12199-021-01025-0'

    N-Triples is a line-based linked data format ideal for batch operations.

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12199-021-01025-0'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12199-021-01025-0'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12199-021-01025-0'


     

    This table displays all metadata directly associated to this object as RDF triples.

    312 TRIPLES      22 PREDICATES      123 URIs      103 LITERALS      22 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s12199-021-01025-0 schema:about N11acb4d9d29544c682e0d467cac0fa35
    2 N25af1b4b4d184e3f9bab32cb5c53d8e9
    3 N26a25754b5e74c72bc82e73dba043e0b
    4 N27e612a3475748e3bfafda3820aedd98
    5 N33bdfc25781e4613ac67e6bf0cc41a31
    6 N5d84a5bf0d4c4fd193e454a369456bcd
    7 N628bc5ca21db423ab35b3c165bafe411
    8 N7a74fd89e13840e8bc69de81d161bac7
    9 N8b84e8557b7f4ceab41a73535868eb9a
    10 N90f026503b6e437f844dc02b5941adf7
    11 Na4c146ace31948668a635df2422cec90
    12 Nbb9b26e13252468aad00db1ff841fcf9
    13 Nc1ec90e4e9954fc88ee708ba5b3d3bde
    14 Ncf66d6c5b3a342ddacf35ab5d6a0ba9a
    15 Nf9af6b5a25e146799697a4982f622ac5
    16 anzsrc-for:11
    17 anzsrc-for:1117
    18 schema:author N8f59b6473ba94ea0ad8a26bc0d574239
    19 schema:citation sg:pub.10.1007/s00127-010-0208-0
    20 sg:pub.10.1007/s00702-008-0092-x
    21 sg:pub.10.1007/s00787-016-0912-8
    22 sg:pub.10.1007/s11325-019-01780-z
    23 sg:pub.10.1038/s41598-018-21243-x
    24 sg:pub.10.1046/j.1525-1497.2001.016009606.x
    25 sg:pub.10.1186/1471-2458-13-885
    26 sg:pub.10.1186/1479-5868-7-40
    27 sg:pub.10.1186/1479-5868-8-98
    28 sg:pub.10.1186/1741-7015-8-32
    29 sg:pub.10.1186/s12889-019-8066-5
    30 sg:pub.10.3758/bf03326698
    31 schema:datePublished 2021-11-02
    32 schema:datePublishedReg 2021-11-02
    33 schema:description BACKGROUND: The 2019 novel coronavirus disease (COVID-19) emerges in China, which spreads rapidly and becomes a public health emergency of international concern. Chinese government has promptly taken quarantine measures to block the transmission of the COVID-19, which may cause deleterious consequences on everyone's behaviors and psychological health. Few studies have examined the associations between behavioral and mental health in different endemic areas. This study aimed to describe screen time (ST), physical activity (PA), and depressive symptoms, as well as their associations among Chinese college students according to different epidemic areas. METHODS: The study design is cross-sectional using online survey, from 4 to 12 February 2020, 14,789 college students accomplished this online study, participants who did not complete the questionnaire were excluded, and finally this study included 11,787 college students from China. RESULTS: The average age of participants was 20.51 ± 1.88 years. 57.1% of the college students were male. In total, 25.9% of college students reported depression symptoms. ST > 4 h/day was positively correlated with depressive symptoms (β = 0.48, 95%CI 0.37-0.59). COVID-19ST > 1 h/day was positively correlated with depressive symptoms (β = 0.54, 95%CI 0.43-0.65), compared with COVID-19ST ≤ 0.5 h/day. Compared with PA ≥ 3 day/week, PA < 3 day/week was positively associated with depression symptoms (β = 0.01, 95%CI 0.008-0.012). Compared with low ST and high PA, there was an interaction association between high ST and low PA on depression (β = 0.31, 95%CI 0.26-0.36). Compared with low COVID-19ST and high PA, there was an interaction association between high COVID-19ST and low PA on depression (β = 0.37, 95%CI 0.32-0.43). There were also current residence areas differences. CONCLUSIONS: Our findings identified that high ST or low PA was positively associated with depressive symptoms independently, and there was also an interactive effect between ST and PA on depressive symptoms.
    34 schema:genre article
    35 schema:inLanguage en
    36 schema:isAccessibleForFree true
    37 schema:isPartOf N10cc069ac1674bde8cd10411a3b05f58
    38 Nbc6d3c8c7ffe4ca2b86fd7e6cb500262
    39 sg:journal.1115673
    40 schema:keywords COVID
    41 COVID-19
    42 China
    43 Chinese college students
    44 Chinese government
    45 activity
    46 age
    47 area
    48 area differences
    49 association
    50 average age
    51 behavior
    52 college students
    53 concern
    54 consequences
    55 coronavirus disease
    56 coronavirus disease (COVID-19) outbreak
    57 current residence areas differences
    58 days
    59 days/week
    60 deleterious consequences
    61 depression
    62 depression symptoms
    63 depressive symptoms
    64 design
    65 differences
    66 different endemic areas
    67 different epidemic areas
    68 disease
    69 disease outbreaks
    70 effect
    71 emergency
    72 endemic areas
    73 epidemic areas
    74 findings
    75 government
    76 health
    77 health emergency
    78 high COVID
    79 high physical activity
    80 high screen time
    81 interaction associations
    82 interactive effects
    83 international concern
    84 low COVID
    85 low physical activity
    86 lower screen time
    87 measures
    88 mental health
    89 novel coronavirus disease
    90 online study
    91 online survey
    92 outbreak
    93 participants
    94 physical activity
    95 psychological health
    96 public health emergency
    97 quarantine measures
    98 questionnaire
    99 residence areas differences
    100 screen time
    101 students
    102 study
    103 study design
    104 survey
    105 symptoms
    106 time
    107 transmission
    108 weeks
    109 years
    110 schema:name Associations between screen time, physical activity, and depressive symptoms during the 2019 coronavirus disease (COVID-19) outbreak among Chinese college students
    111 schema:pagination 107
    112 schema:productId N1f8d457b09324569aeb464c55de9e46e
    113 N559fc628001549a6a3f717df4bbbddd7
    114 Nf316170da14c4a8d8dbcf25c96186f7b
    115 schema:sameAs https://app.dimensions.ai/details/publication/pub.1142333607
    116 https://doi.org/10.1186/s12199-021-01025-0
    117 schema:sdDatePublished 2022-01-01T18:57
    118 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    119 schema:sdPublisher N74e0c01bffd946e389e885f16682de60
    120 schema:url https://doi.org/10.1186/s12199-021-01025-0
    121 sgo:license sg:explorer/license/
    122 sgo:sdDataset articles
    123 rdf:type schema:ScholarlyArticle
    124 N06b622ee43a04042802a4b86a536e380 rdf:first sg:person.0622174611.83
    125 rdf:rest N1566beb476824ffda2cbb4899ed6a061
    126 N09a7a445833b4021b29d7a880e8bf979 rdf:first sg:person.01157057350.97
    127 rdf:rest Nea2fa1fab3ba4660b98950dd06389be0
    128 N10cc069ac1674bde8cd10411a3b05f58 schema:issueNumber 1
    129 rdf:type schema:PublicationIssue
    130 N11acb4d9d29544c682e0d467cac0fa35 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    131 schema:name Exercise
    132 rdf:type schema:DefinedTerm
    133 N1566beb476824ffda2cbb4899ed6a061 rdf:first sg:person.014101575515.71
    134 rdf:rest Nc8cec15e6873429b8febf6236311cace
    135 N1f8d457b09324569aeb464c55de9e46e schema:name doi
    136 schema:value 10.1186/s12199-021-01025-0
    137 rdf:type schema:PropertyValue
    138 N249b77bbcb034a8da4560e75b46f070a rdf:first sg:person.014042242425.57
    139 rdf:rest N09a7a445833b4021b29d7a880e8bf979
    140 N25af1b4b4d184e3f9bab32cb5c53d8e9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    141 schema:name COVID-19
    142 rdf:type schema:DefinedTerm
    143 N26a25754b5e74c72bc82e73dba043e0b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    144 schema:name Students
    145 rdf:type schema:DefinedTerm
    146 N27e612a3475748e3bfafda3820aedd98 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    147 schema:name Female
    148 rdf:type schema:DefinedTerm
    149 N33bdfc25781e4613ac67e6bf0cc41a31 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    150 schema:name China
    151 rdf:type schema:DefinedTerm
    152 N559fc628001549a6a3f717df4bbbddd7 schema:name pubmed_id
    153 schema:value 34727892
    154 rdf:type schema:PropertyValue
    155 N5d84a5bf0d4c4fd193e454a369456bcd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    156 schema:name Adult
    157 rdf:type schema:DefinedTerm
    158 N628bc5ca21db423ab35b3c165bafe411 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    159 schema:name Young Adult
    160 rdf:type schema:DefinedTerm
    161 N74e0c01bffd946e389e885f16682de60 schema:name Springer Nature - SN SciGraph project
    162 rdf:type schema:Organization
    163 N7a74fd89e13840e8bc69de81d161bac7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    164 schema:name Screen Time
    165 rdf:type schema:DefinedTerm
    166 N8b84e8557b7f4ceab41a73535868eb9a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    167 schema:name Mental Health
    168 rdf:type schema:DefinedTerm
    169 N8f59b6473ba94ea0ad8a26bc0d574239 rdf:first N97e82eabdf71435fbfae95a89f9ee862
    170 rdf:rest N06b622ee43a04042802a4b86a536e380
    171 N90f026503b6e437f844dc02b5941adf7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    172 schema:name Cross-Sectional Studies
    173 rdf:type schema:DefinedTerm
    174 N97e82eabdf71435fbfae95a89f9ee862 schema:affiliation grid-institutes:None
    175 schema:familyName Zhang
    176 schema:givenName Yi
    177 rdf:type schema:Person
    178 Na4c146ace31948668a635df2422cec90 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    179 schema:name Humans
    180 rdf:type schema:DefinedTerm
    181 Nb150123915b547e195c8239ac580b302 rdf:first sg:person.014152470775.00
    182 rdf:rest Nd71d6ce3adc342259701d8da1f478299
    183 Nbb9b26e13252468aad00db1ff841fcf9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    184 schema:name Male
    185 rdf:type schema:DefinedTerm
    186 Nbc6d3c8c7ffe4ca2b86fd7e6cb500262 schema:volumeNumber 26
    187 rdf:type schema:PublicationVolume
    188 Nc1ec90e4e9954fc88ee708ba5b3d3bde schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    189 schema:name Universities
    190 rdf:type schema:DefinedTerm
    191 Nc8cec15e6873429b8febf6236311cace rdf:first Ne744077462714edca943060e6fc79ba2
    192 rdf:rest N249b77bbcb034a8da4560e75b46f070a
    193 Ncf66d6c5b3a342ddacf35ab5d6a0ba9a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    194 schema:name Depression
    195 rdf:type schema:DefinedTerm
    196 Nd71d6ce3adc342259701d8da1f478299 rdf:first sg:person.01054760170.13
    197 rdf:rest rdf:nil
    198 Ne744077462714edca943060e6fc79ba2 schema:affiliation grid-institutes:grid.49470.3e
    199 schema:familyName Li
    200 schema:givenName Shiyue
    201 rdf:type schema:Person
    202 Nea2fa1fab3ba4660b98950dd06389be0 rdf:first sg:person.011720034225.42
    203 rdf:rest Nb150123915b547e195c8239ac580b302
    204 Nf316170da14c4a8d8dbcf25c96186f7b schema:name dimensions_id
    205 schema:value pub.1142333607
    206 rdf:type schema:PropertyValue
    207 Nf9af6b5a25e146799697a4982f622ac5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    208 schema:name Time Factors
    209 rdf:type schema:DefinedTerm
    210 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    211 schema:name Medical and Health Sciences
    212 rdf:type schema:DefinedTerm
    213 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
    214 schema:name Public Health and Health Services
    215 rdf:type schema:DefinedTerm
    216 sg:journal.1115673 schema:issn 1342-078X
    217 1347-4715
    218 schema:name Environmental Health and Preventive Medicine
    219 schema:publisher Springer Nature
    220 rdf:type schema:Periodical
    221 sg:person.01054760170.13 schema:affiliation grid-institutes:None
    222 schema:familyName Tao
    223 schema:givenName Fangbiao
    224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01054760170.13
    225 rdf:type schema:Person
    226 sg:person.01157057350.97 schema:affiliation grid-institutes:grid.33199.31
    227 schema:familyName Yu
    228 schema:givenName Yizhen
    229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01157057350.97
    230 rdf:type schema:Person
    231 sg:person.011720034225.42 schema:affiliation grid-institutes:None
    232 schema:familyName Sun
    233 schema:givenName Guilong
    234 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011720034225.42
    235 rdf:type schema:Person
    236 sg:person.014042242425.57 schema:affiliation grid-institutes:grid.43169.39
    237 schema:familyName Ma
    238 schema:givenName Le
    239 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014042242425.57
    240 rdf:type schema:Person
    241 sg:person.014101575515.71 schema:affiliation grid-institutes:grid.452696.a
    242 schema:familyName Tao
    243 schema:givenName Shuman
    244 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014101575515.71
    245 rdf:type schema:Person
    246 sg:person.014152470775.00 schema:affiliation grid-institutes:None
    247 schema:familyName Li
    248 schema:givenName Tingting
    249 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014152470775.00
    250 rdf:type schema:Person
    251 sg:person.0622174611.83 schema:affiliation grid-institutes:None
    252 schema:familyName Wu
    253 schema:givenName Xiaoyan
    254 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0622174611.83
    255 rdf:type schema:Person
    256 sg:pub.10.1007/s00127-010-0208-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046328013
    257 https://doi.org/10.1007/s00127-010-0208-0
    258 rdf:type schema:CreativeWork
    259 sg:pub.10.1007/s00702-008-0092-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1027292647
    260 https://doi.org/10.1007/s00702-008-0092-x
    261 rdf:type schema:CreativeWork
    262 sg:pub.10.1007/s00787-016-0912-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022083560
    263 https://doi.org/10.1007/s00787-016-0912-8
    264 rdf:type schema:CreativeWork
    265 sg:pub.10.1007/s11325-019-01780-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1111666455
    266 https://doi.org/10.1007/s11325-019-01780-z
    267 rdf:type schema:CreativeWork
    268 sg:pub.10.1038/s41598-018-21243-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1100868110
    269 https://doi.org/10.1038/s41598-018-21243-x
    270 rdf:type schema:CreativeWork
    271 sg:pub.10.1046/j.1525-1497.2001.016009606.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1002964461
    272 https://doi.org/10.1046/j.1525-1497.2001.016009606.x
    273 rdf:type schema:CreativeWork
    274 sg:pub.10.1186/1471-2458-13-885 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008993569
    275 https://doi.org/10.1186/1471-2458-13-885
    276 rdf:type schema:CreativeWork
    277 sg:pub.10.1186/1479-5868-7-40 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036744942
    278 https://doi.org/10.1186/1479-5868-7-40
    279 rdf:type schema:CreativeWork
    280 sg:pub.10.1186/1479-5868-8-98 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042523421
    281 https://doi.org/10.1186/1479-5868-8-98
    282 rdf:type schema:CreativeWork
    283 sg:pub.10.1186/1741-7015-8-32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012622671
    284 https://doi.org/10.1186/1741-7015-8-32
    285 rdf:type schema:CreativeWork
    286 sg:pub.10.1186/s12889-019-8066-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1123615093
    287 https://doi.org/10.1186/s12889-019-8066-5
    288 rdf:type schema:CreativeWork
    289 sg:pub.10.3758/bf03326698 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042693499
    290 https://doi.org/10.3758/bf03326698
    291 rdf:type schema:CreativeWork
    292 grid-institutes:None schema:alternateName NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No. 81 Meishan Road, Hefei, 230032 Anhui China
    293 South-Central Minzu University, 182 Minyuan Road, Wuhan, 430074 Hubei China
    294 schema:name Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032 Anhui China
    295 MOE Key Laboratory of Population Health Across Life Cycle, No. 81 Meishan Road, Hefei, 230032 Anhui China
    296 NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No. 81 Meishan Road, Hefei, 230032 Anhui China
    297 South-Central Minzu University, 182 Minyuan Road, Wuhan, 430074 Hubei China
    298 rdf:type schema:Organization
    299 grid-institutes:grid.33199.31 schema:alternateName Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Hangkong Road 13, Wuhan, 430030 Hubei China
    300 schema:name Department of Maternal and Child Health, School of Public Health, Tongji Medical College, Huazhong University of Science & Technology, Hangkong Road 13, Wuhan, 430030 Hubei China
    301 rdf:type schema:Organization
    302 grid-institutes:grid.43169.39 schema:alternateName School of Public Health, Xi’an Jiaotong University Health Science Center, 76 Yanta West Road, Xi’an, China
    303 schema:name School of Public Health, Xi’an Jiaotong University Health Science Center, 76 Yanta West Road, Xi’an, China
    304 rdf:type schema:Organization
    305 grid-institutes:grid.452696.a schema:alternateName Department of Nephrology, The Second Hospital of Anhui Medical University, 678 Furong Road, Hefei, 230601 Anhui China
    306 schema:name Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei, 230032 Anhui China
    307 Department of Nephrology, The Second Hospital of Anhui Medical University, 678 Furong Road, Hefei, 230601 Anhui China
    308 MOE Key Laboratory of Population Health Across Life Cycle, No. 81 Meishan Road, Hefei, 230032 Anhui China
    309 rdf:type schema:Organization
    310 grid-institutes:grid.49470.3e schema:alternateName School of Health Sciences, Wuhan University, Wuhan, 430071 Hubei China
    311 schema:name School of Health Sciences, Wuhan University, Wuhan, 430071 Hubei China
    312 rdf:type schema:Organization
     




    Preview window. Press ESC to close (or click here)


    ...