Evaluation of lifestyle of female adolescents through latent class analysis approach View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-12

AUTHORS

Valter Paulo Neves Miranda, Paulo Roberto dos Santos Amorim, Ronaldo Rocha Bastos, Vitor Gabriel Barra Souza, Eliane Rodrigues de Faria, Sylvia do Carmo Castro Franceschini, Silvia Eloiza Priore

ABSTRACT

BACKGROUND: Lack of regular physical activity, high sedentary behavior and presence of unbalanced alimentary practices are attitudes associated with an inadequate lifestyle among female adolescents. OBJECTIVE: to assess the lifestyle of female adolescents based on measurements of behavioral variables. METHODS: Cross-sectional study with 405 female adolescents between 14 and 19 years old, resident and attending public schools in Viçosa (state of Minas Gerais). Their lifestyle was analyzed by the Physical Activity Recall, number of steps, screen time (ST), cellphone time (CT), sitting time, food frequency questionnaire (FFQ), and alcohol and tobacco consumption. With multiple correspondence analysis it was possible to observe dispersion and approximation of the variables' categories. Latent class analysis (LCA) was used for modeling the "lifestyle" variable, having been conducted in the poLCA (Polychromous Variable Latent Class Analysis) package of the R statistical software. RESULTS: The mean age was 15.92 ± 1.27 years. Most of the adolescents were considered physically inactive (78%) and with low number of steps (82.57%); 41.45% reported not performing Moderate to Vigorous Physical Activities (MVPA) adequately. Sedentary behavior was found high when assessing ST (72.90%) and CT (65.31%). It was found the best fitted latent class model for the lifestyle (p-G2 = 0.055, p-χ2 = 0.066) featured three latent classes and one covariate (alcohol): Class 1, 'Inactive and Sedentary' (γ = 77.5%); Class 2, 'Inactive and Non-sedentary lifestyle (γ=16.31%); and Class 3, 'Active and sedentary' (γ=6.19%). Female adolescents that had 'never consumed alcohol' were 2.26 times as likely (log OR = 0.8174; p = 0.033) to belong to class 3 (Active & Sedentary lifestyle) than to class 1 (Inactive & Sedentary lifestyle). CONCLUSION: Latent class analysis model with five manifest variable (MVPA, number of steps, ST, sitting time and number of meals) and alcohol consumption like covariate showed itself to be an accurate and objective method in the assessment of female adolescents' lifestyle. Female adolescents that had 'never consumed alcohol' were more as likely to belong to class 'Active & Sedentary lifestyle' than to class Inactive & Sedentary lifestyle. An inactive and sedentary lifestyle is coupled to other unhealthy behaviors during adolescence, possibly carrying over into adult life. More... »

PAGES

184

References to SciGraph publications

  • 2015-08. Application of Latent Class Analysis to Identify Behavioral Patterns of Response to Behavioral Lifestyle Interventions in Overweight and Obese Adults in INTERNATIONAL JOURNAL OF BEHAVIORAL MEDICINE
  • 2017-12. Clustering of risk-related modifiable behaviours and their association with overweight and obesity among a large sample of youth in the COMPASS study in BMC PUBLIC HEALTH
  • 2017-12. Variations in adolescents’ motivational characteristics across gender and physical activity patterns: A latent class analysis approach in BMC PUBLIC HEALTH
  • 2013-04. Latent Class Analysis: An Alternative Perspective on Subgroup Analysis in Prevention and Treatment in PREVENTION SCIENCE
  • 2016-12. Identifying developmental trajectories of body mass index in childhood using latent class growth (mixture) modelling: associations with dietary, sedentary and physical activity behaviors: a longitudinal study in BMC PUBLIC HEALTH
  • 2018-03. Latent Class Analysis of Intimate Partner Violence Perpetration and Victimization among Latino Emerging Adults in JOURNAL OF YOUTH AND ADOLESCENCE
  • 2014-12. The clustering of diet, physical activity and sedentary behavior in children and adolescents: a review in INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY
  • 2018-04. I and Us: A Longitudinal Study on the Interplay of Personal and Social Identity in Adolescence in JOURNAL OF YOUTH AND ADOLESCENCE
  • 1997-09. A 7-day activity diary for assessment of daily energy expenditure validated by the doubly labelled water method in adolescents in EUROPEAN JOURNAL OF CLINICAL NUTRITION
  • 2017-12. Sedentary behaviour and adiposity in youth: a systematic review of reviews and analysis of causality in INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY
  • 2016-12. A systematic review on the clustering and co-occurrence of multiple risk behaviours in BMC PUBLIC HEALTH
  • 2011-12. How many steps/day are enough? for children and adolescents in INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY
  • 2011-12. An assessment of self-reported physical activity instruments in young people for population surveillance: Project ALPHA in INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY
  • 2018-04. Family, friend, and media factors are associated with patterns of weight-control behavior among adolescent girls in EATING AND WEIGHT DISORDERS - STUDIES ON ANOREXIA, BULIMIA AND OBESITY
  • 2014-12. Using accelerometers and global positioning system devices to assess gender and age differences in children’s school, transport, leisure and home based physical activity in INTERNATIONAL JOURNAL OF BEHAVIORAL NUTRITION AND PHYSICAL ACTIVITY
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s12889-019-6488-8

    DOI

    http://dx.doi.org/10.1186/s12889-019-6488-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1112097191

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30760240


    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/2008/1117", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Public Health and Health Services", 
            "type": "DefinedTerm"
          }, 
          {
            "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"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Adolescent", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Adolescent Behavior", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Alcohol Drinking", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Cross-Sectional Studies", 
            "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": "Latent Class Analysis", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Life Style", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Male", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Motor Activity", 
            "type": "DefinedTerm"
          }, 
          {
            "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
            "name": "Sedentary Behavior", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Universidade Federal de Juiz de Fora", 
              "id": "https://www.grid.ac/institutes/grid.411198.4", 
              "name": [
                "Programa de P\u00f3s-Gradua\u00e7\u00e3o em Sa\u00fade Coletiva (UFJF), Laborat\u00f3rio de Informa\u00e7\u00f5es Geo-referenciadas (UFJF), Juiz de Fora, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Miranda", 
            "givenName": "Valter Paulo Neves", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Universidade Federal de Vi\u00e7osa", 
              "id": "https://www.grid.ac/institutes/grid.12799.34", 
              "name": [
                "P\u00f3s-Gradua\u00e7\u00e3o Stricto Senso em Educa\u00e7\u00e3o F\u00edsica (PPGEFIUFV), Universidade Federal de Vi\u00e7osa, Vi\u00e7osa, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "dos Santos Amorim", 
            "givenName": "Paulo Roberto", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Universidade Federal de Juiz de Fora", 
              "id": "https://www.grid.ac/institutes/grid.411198.4", 
              "name": [
                "Programa de P\u00f3s-Gradua\u00e7\u00e3o em Sa\u00fade Coletiva (UFJF), Laborat\u00f3rio de Informa\u00e7\u00f5es Geo-referenciadas (UFJF), Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Bastos", 
            "givenName": "Ronaldo Rocha", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Universidade Federal de Juiz de Fora", 
              "id": "https://www.grid.ac/institutes/grid.411198.4", 
              "name": [
                "Programa de P\u00f3s-Gradua\u00e7\u00e3o em Sa\u00fade Coletiva (UFJF), Laborat\u00f3rio de Informa\u00e7\u00f5es Geo-referenciadas (UFJF), Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Souza", 
            "givenName": "Vitor Gabriel Barra", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Universidade Federal de Juiz de Fora", 
              "id": "https://www.grid.ac/institutes/grid.411198.4", 
              "name": [
                "Departamento de Nutri\u00e7\u00e3o, Universidade Federal de Juiz de Fora, Juiz de Fora, Brasil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "de Faria", 
            "givenName": "Eliane Rodrigues", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Universidade Federal de Vi\u00e7osa", 
              "id": "https://www.grid.ac/institutes/grid.12799.34", 
              "name": [
                "Programa de P\u00f3s-Gradua\u00e7\u00e3o em Ci\u00eancia da Nutri\u00e7\u00e3o, Universidade Federal de Vi\u00e7osa, Vi\u00e7osa, Brasil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "do Carmo Castro Franceschini", 
            "givenName": "Sylvia", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Programa de P\u00f3s-Gradua\u00e7\u00e3o em Ci\u00eancia da Nutri\u00e7\u00e3o, Vi\u00e7osa, Brasil"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Priore", 
            "givenName": "Silvia Eloiza", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "https://doi.org/10.1016/s0140-6736(12)60646-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1000054841"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/obr.12188", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005471474"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1479-5868-11-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005609967", 
              "https://doi.org/10.1186/1479-5868-11-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0140-6736(12)61031-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006011967"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1479-5868-8-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009159740", 
              "https://doi.org/10.1186/1479-5868-8-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1152/japplphysiol.00094.2008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1009253094"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3945/an.113.005678", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010295491"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.adolescence.2015.03.016", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1011737429"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12889-016-3373-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013450219", 
              "https://doi.org/10.1186/s12889-016-3373-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12889-016-3373-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013450219", 
              "https://doi.org/10.1186/s12889-016-3373-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1590/s1415-790x2010000100010", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1015509027"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jpeds.2016.12.048", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016220547"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jadohealth.2016.03.011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016449033"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.ejcn.1600449", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018994198", 
              "https://doi.org/10.1038/sj.ejcn.1600449"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.ejcn.1600449", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018994198", 
              "https://doi.org/10.1038/sj.ejcn.1600449"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1479-5868-11-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1020164249", 
              "https://doi.org/10.1186/1479-5868-11-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12889-016-3757-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022919956", 
              "https://doi.org/10.1186/s12889-016-3757-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12889-016-3757-7", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022919956", 
              "https://doi.org/10.1186/s12889-016-3757-7"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.amepre.2011.05.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026729954"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/ijpo.12158", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029732470"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1371/journal.pmed.1000413", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034077825"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jcjd.2013.08.266", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1038726143"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1590/s1517-86922005000200011", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039392366"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12529-014-9446-y", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040880155", 
              "https://doi.org/10.1007/s12529-014-9446-y"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1590/0102-311x00173412", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1041826290"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1108/nfs-06-2015-0072", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043167557"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1590/s0034-8910.2013047004637", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045775245"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11121-011-0201-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047177138", 
              "https://doi.org/10.1007/s11121-011-0201-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/1479-5868-8-78", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1048946533", 
              "https://doi.org/10.1186/1479-5868-8-78"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12889-017-4034-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053828273", 
              "https://doi.org/10.1186/s12889-017-4034-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12889-017-4034-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1053828273", 
              "https://doi.org/10.1186/s12889-017-4034-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.18637/jss.v042.i10", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1068672632"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3102/1076998616631743", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1070973306"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.3102/1076998616631743", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1070973306"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1093/ajcn/79.5.921s", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1076831476"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1080097872", 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s40519-016-0359-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084040393", 
              "https://doi.org/10.1007/s40519-016-0359-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s40519-016-0359-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084040393", 
              "https://doi.org/10.1007/s40519-016-0359-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s40519-016-0359-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084040393", 
              "https://doi.org/10.1007/s40519-016-0359-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s40519-016-0359-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084040393", 
              "https://doi.org/10.1007/s40519-016-0359-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12966-017-0497-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084251476", 
              "https://doi.org/10.1186/s12966-017-0497-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12966-017-0497-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084251476", 
              "https://doi.org/10.1186/s12966-017-0497-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1542/peds.2011-1970", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1087097224"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12889-017-4677-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091206743", 
              "https://doi.org/10.1186/s12889-017-4677-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s12889-017-4677-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091206743", 
              "https://doi.org/10.1186/s12889-017-4677-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10964-017-0791-4", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093061749", 
              "https://doi.org/10.1007/s10964-017-0791-4"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1089/chi.2017.0250", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093100168"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1089/chi.2017.0250", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1093100168"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s10964-017-0807-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1100557673", 
              "https://doi.org/10.1007/s10964-017-0807-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jadohealth.2017.11.298", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101147081"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1542/peds.2017-3459", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101230735"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1542/peds.2017-3459", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101230735"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1590/1984-0462/;2018;36;4;00005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1104167639"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1590/1984-0462/;2018;36;4;00005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1104167639"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-12", 
        "datePublishedReg": "2019-12-01", 
        "description": "BACKGROUND: Lack of regular physical activity, high sedentary behavior and presence of unbalanced alimentary practices are attitudes associated with an inadequate lifestyle among female adolescents.\nOBJECTIVE: to assess the lifestyle of female adolescents based on measurements of behavioral variables.\nMETHODS: Cross-sectional study with 405 female adolescents between 14 and 19\u2009years old, resident and attending public schools in Vi\u00e7osa (state of Minas Gerais). Their lifestyle was analyzed by the Physical Activity Recall, number of steps, screen time (ST), cellphone time (CT), sitting time, food frequency questionnaire (FFQ), and alcohol and tobacco consumption. With multiple correspondence analysis it was possible to observe dispersion and approximation of the variables' categories. Latent class analysis (LCA) was used for modeling the \"lifestyle\" variable, having been conducted in the poLCA (Polychromous Variable Latent Class Analysis) package of the R statistical software.\nRESULTS: The mean age was 15.92\u2009\u00b1\u20091.27\u2009years. Most of the adolescents were considered physically inactive (78%) and with low number of steps (82.57%); 41.45% reported not performing Moderate to Vigorous Physical Activities (MVPA) adequately. Sedentary behavior was found high when assessing ST (72.90%) and CT (65.31%). It was found the best fitted latent class model for the lifestyle (p-G2\u2009=\u20090.055, p-\u03c72\u2009=\u20090.066) featured three latent classes and one covariate (alcohol): Class 1, 'Inactive and Sedentary' (\u03b3\u2009=\u200977.5%); Class 2, 'Inactive and Non-sedentary lifestyle (\u03b3=16.31%); and Class 3, 'Active and sedentary' (\u03b3=6.19%). Female adolescents that had 'never consumed alcohol' were 2.26 times as likely (log OR\u2009=\u20090.8174; p\u2009=\u20090.033) to belong to class 3 (Active & Sedentary lifestyle) than to class 1 (Inactive & Sedentary lifestyle).\nCONCLUSION: Latent class analysis model with five manifest variable (MVPA, number of steps, ST, sitting time and number of meals) and alcohol consumption like covariate showed itself to be an accurate and objective method in the assessment of female adolescents' lifestyle. Female adolescents that had 'never consumed alcohol' were more as likely to belong to class 'Active & Sedentary lifestyle' than to class Inactive & Sedentary lifestyle. An inactive and sedentary lifestyle is coupled to other unhealthy behaviors during adolescence, possibly carrying over into adult life.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1186/s12889-019-6488-8", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1024954", 
            "issn": [
              "1471-2458"
            ], 
            "name": "BMC Public Health", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "19"
          }
        ], 
        "name": "Evaluation of lifestyle of female adolescents through latent class analysis approach", 
        "pagination": "184", 
        "productId": [
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "eebf4b7c20e3041ca14192da384ded60764e16b0b900b7ac617c264a1aa22bcc"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "30760240"
            ]
          }, 
          {
            "name": "nlm_unique_id", 
            "type": "PropertyValue", 
            "value": [
              "100968562"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s12889-019-6488-8"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1112097191"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s12889-019-6488-8", 
          "https://app.dimensions.ai/details/publication/pub.1112097191"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-11T13:48", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000371_0000000371/records_130792_00000006.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1186%2Fs12889-019-6488-8"
      }
    ]
     

    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/s12889-019-6488-8'

    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/s12889-019-6488-8'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12889-019-6488-8'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12889-019-6488-8'


     

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

    296 TRIPLES      21 PREDICATES      82 URIs      33 LITERALS      21 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s12889-019-6488-8 schema:about N0b7319dd022344069d52311b4e3bc55f
    2 N3ab68deb9a9c4cc78d23b8ee5a40ed1b
    3 N540219814ef24fcea91c77b943dd1119
    4 N55684086cf7f43369de40dc346e0dbe0
    5 N743477c6853549df8284ac323163f1be
    6 N8a51a93c905241f1954d441ea945b384
    7 N9bf2035e432d49c49863827b1cd3684c
    8 Nb02c5e42a4464e6fb0a4bb1f040e2121
    9 Ndbd5afdecf6547d79ecda72f514fd298
    10 Ne2afa008fade4c2babd9902cf104689c
    11 Ne4882b10165648728464fa393fa9cb67
    12 Ne4fe677897b04464abce4af6e86ab143
    13 anzsrc-for:11
    14 anzsrc-for:1117
    15 schema:author Ncdc31791fae94a079f244e72f852114f
    16 schema:citation sg:pub.10.1007/s10964-017-0791-4
    17 sg:pub.10.1007/s10964-017-0807-0
    18 sg:pub.10.1007/s11121-011-0201-1
    19 sg:pub.10.1007/s12529-014-9446-y
    20 sg:pub.10.1007/s40519-016-0359-4
    21 sg:pub.10.1038/sj.ejcn.1600449
    22 sg:pub.10.1186/1479-5868-11-4
    23 sg:pub.10.1186/1479-5868-11-8
    24 sg:pub.10.1186/1479-5868-8-1
    25 sg:pub.10.1186/1479-5868-8-78
    26 sg:pub.10.1186/s12889-016-3373-6
    27 sg:pub.10.1186/s12889-016-3757-7
    28 sg:pub.10.1186/s12889-017-4034-0
    29 sg:pub.10.1186/s12889-017-4677-x
    30 sg:pub.10.1186/s12966-017-0497-8
    31 https://app.dimensions.ai/details/publication/pub.1080097872
    32 https://doi.org/10.1016/j.adolescence.2015.03.016
    33 https://doi.org/10.1016/j.amepre.2011.05.004
    34 https://doi.org/10.1016/j.jadohealth.2016.03.011
    35 https://doi.org/10.1016/j.jadohealth.2017.11.298
    36 https://doi.org/10.1016/j.jcjd.2013.08.266
    37 https://doi.org/10.1016/j.jpeds.2016.12.048
    38 https://doi.org/10.1016/s0140-6736(12)60646-1
    39 https://doi.org/10.1016/s0140-6736(12)61031-9
    40 https://doi.org/10.1089/chi.2017.0250
    41 https://doi.org/10.1093/ajcn/79.5.921s
    42 https://doi.org/10.1108/nfs-06-2015-0072
    43 https://doi.org/10.1111/ijpo.12158
    44 https://doi.org/10.1111/obr.12188
    45 https://doi.org/10.1152/japplphysiol.00094.2008
    46 https://doi.org/10.1371/journal.pmed.1000413
    47 https://doi.org/10.1542/peds.2011-1970
    48 https://doi.org/10.1542/peds.2017-3459
    49 https://doi.org/10.1590/0102-311x00173412
    50 https://doi.org/10.1590/1984-0462/;2018;36;4;00005
    51 https://doi.org/10.1590/s0034-8910.2013047004637
    52 https://doi.org/10.1590/s1415-790x2010000100010
    53 https://doi.org/10.1590/s1517-86922005000200011
    54 https://doi.org/10.18637/jss.v042.i10
    55 https://doi.org/10.3102/1076998616631743
    56 https://doi.org/10.3945/an.113.005678
    57 schema:datePublished 2019-12
    58 schema:datePublishedReg 2019-12-01
    59 schema:description BACKGROUND: Lack of regular physical activity, high sedentary behavior and presence of unbalanced alimentary practices are attitudes associated with an inadequate lifestyle among female adolescents. OBJECTIVE: to assess the lifestyle of female adolescents based on measurements of behavioral variables. METHODS: Cross-sectional study with 405 female adolescents between 14 and 19 years old, resident and attending public schools in Viçosa (state of Minas Gerais). Their lifestyle was analyzed by the Physical Activity Recall, number of steps, screen time (ST), cellphone time (CT), sitting time, food frequency questionnaire (FFQ), and alcohol and tobacco consumption. With multiple correspondence analysis it was possible to observe dispersion and approximation of the variables' categories. Latent class analysis (LCA) was used for modeling the "lifestyle" variable, having been conducted in the poLCA (Polychromous Variable Latent Class Analysis) package of the R statistical software. RESULTS: The mean age was 15.92 ± 1.27 years. Most of the adolescents were considered physically inactive (78%) and with low number of steps (82.57%); 41.45% reported not performing Moderate to Vigorous Physical Activities (MVPA) adequately. Sedentary behavior was found high when assessing ST (72.90%) and CT (65.31%). It was found the best fitted latent class model for the lifestyle (p-G2 = 0.055, p-χ2 = 0.066) featured three latent classes and one covariate (alcohol): Class 1, 'Inactive and Sedentary' (γ = 77.5%); Class 2, 'Inactive and Non-sedentary lifestyle (γ=16.31%); and Class 3, 'Active and sedentary' (γ=6.19%). Female adolescents that had 'never consumed alcohol' were 2.26 times as likely (log OR = 0.8174; p = 0.033) to belong to class 3 (Active & Sedentary lifestyle) than to class 1 (Inactive & Sedentary lifestyle). CONCLUSION: Latent class analysis model with five manifest variable (MVPA, number of steps, ST, sitting time and number of meals) and alcohol consumption like covariate showed itself to be an accurate and objective method in the assessment of female adolescents' lifestyle. Female adolescents that had 'never consumed alcohol' were more as likely to belong to class 'Active & Sedentary lifestyle' than to class Inactive & Sedentary lifestyle. An inactive and sedentary lifestyle is coupled to other unhealthy behaviors during adolescence, possibly carrying over into adult life.
    60 schema:genre research_article
    61 schema:inLanguage en
    62 schema:isAccessibleForFree true
    63 schema:isPartOf N364416bd32994c47b9ca62216d98e0f7
    64 N9d1ebb27014a4467b261c1195915d61d
    65 sg:journal.1024954
    66 schema:name Evaluation of lifestyle of female adolescents through latent class analysis approach
    67 schema:pagination 184
    68 schema:productId N25ed0495b57e428baf6c4e977bf849b5
    69 N44f4061e87524f23b591b48fe5ea8373
    70 N67aa23ff7f8046318f594cd01b41e5cd
    71 N6ef77473a2b24f0dbfe90d0e7bd6e0f6
    72 Nc302bd48455d42d796fcdfa771c139eb
    73 schema:sameAs https://app.dimensions.ai/details/publication/pub.1112097191
    74 https://doi.org/10.1186/s12889-019-6488-8
    75 schema:sdDatePublished 2019-04-11T13:48
    76 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    77 schema:sdPublisher Na6bc9558a15a47b79d5ae34797b18a95
    78 schema:url https://link.springer.com/10.1186%2Fs12889-019-6488-8
    79 sgo:license sg:explorer/license/
    80 sgo:sdDataset articles
    81 rdf:type schema:ScholarlyArticle
    82 N0b7319dd022344069d52311b4e3bc55f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    83 schema:name Alcohol Drinking
    84 rdf:type schema:DefinedTerm
    85 N0f7c87c948f7407d89f34c7994f1c371 rdf:first Ne6a3772321d14c5aa8f383cece268ddb
    86 rdf:rest N7b77a89380b84faf8c0399ef0f55569b
    87 N25ed0495b57e428baf6c4e977bf849b5 schema:name pubmed_id
    88 schema:value 30760240
    89 rdf:type schema:PropertyValue
    90 N364416bd32994c47b9ca62216d98e0f7 schema:issueNumber 1
    91 rdf:type schema:PublicationIssue
    92 N3ab68deb9a9c4cc78d23b8ee5a40ed1b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    93 schema:name Male
    94 rdf:type schema:DefinedTerm
    95 N44f4061e87524f23b591b48fe5ea8373 schema:name doi
    96 schema:value 10.1186/s12889-019-6488-8
    97 rdf:type schema:PropertyValue
    98 N540219814ef24fcea91c77b943dd1119 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    99 schema:name Humans
    100 rdf:type schema:DefinedTerm
    101 N55684086cf7f43369de40dc346e0dbe0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    102 schema:name Life Style
    103 rdf:type schema:DefinedTerm
    104 N5ae9995dd934490ba87f7704afa1a5e2 schema:affiliation https://www.grid.ac/institutes/grid.411198.4
    105 schema:familyName Souza
    106 schema:givenName Vitor Gabriel Barra
    107 rdf:type schema:Person
    108 N67aa23ff7f8046318f594cd01b41e5cd schema:name readcube_id
    109 schema:value eebf4b7c20e3041ca14192da384ded60764e16b0b900b7ac617c264a1aa22bcc
    110 rdf:type schema:PropertyValue
    111 N6ef0123455d04ad5b6c99812343a0a8a schema:affiliation https://www.grid.ac/institutes/grid.12799.34
    112 schema:familyName dos Santos Amorim
    113 schema:givenName Paulo Roberto
    114 rdf:type schema:Person
    115 N6ef77473a2b24f0dbfe90d0e7bd6e0f6 schema:name dimensions_id
    116 schema:value pub.1112097191
    117 rdf:type schema:PropertyValue
    118 N726f6288da25429f8318e347c933d7cb schema:affiliation https://www.grid.ac/institutes/grid.411198.4
    119 schema:familyName Miranda
    120 schema:givenName Valter Paulo Neves
    121 rdf:type schema:Person
    122 N743477c6853549df8284ac323163f1be schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    123 schema:name Cross-Sectional Studies
    124 rdf:type schema:DefinedTerm
    125 N7b77a89380b84faf8c0399ef0f55569b rdf:first Naf02a06ac89c4e1192da650a4cf0396f
    126 rdf:rest rdf:nil
    127 N7dde5278be7843e294c4ebe5583867e9 schema:name Programa de Pós-Graduação em Ciência da Nutrição, Viçosa, Brasil
    128 rdf:type schema:Organization
    129 N86592dbd0e7245a6b81244ef837f067f rdf:first N6ef0123455d04ad5b6c99812343a0a8a
    130 rdf:rest Na412367675c84246a5d93050b6aeb7ff
    131 N8a51a93c905241f1954d441ea945b384 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    132 schema:name Latent Class Analysis
    133 rdf:type schema:DefinedTerm
    134 N9bf2035e432d49c49863827b1cd3684c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    135 schema:name Motor Activity
    136 rdf:type schema:DefinedTerm
    137 N9d1ebb27014a4467b261c1195915d61d schema:volumeNumber 19
    138 rdf:type schema:PublicationVolume
    139 Na412367675c84246a5d93050b6aeb7ff rdf:first Ndb98dd22f9c042ce8eeed7dbc4bf8f6a
    140 rdf:rest Nab02261d61e442daa3ed17ebb8caa6ed
    141 Na6bc9558a15a47b79d5ae34797b18a95 schema:name Springer Nature - SN SciGraph project
    142 rdf:type schema:Organization
    143 Nab02261d61e442daa3ed17ebb8caa6ed rdf:first N5ae9995dd934490ba87f7704afa1a5e2
    144 rdf:rest Nbdefc06422f244899dff893101bb19bb
    145 Naf02a06ac89c4e1192da650a4cf0396f schema:affiliation N7dde5278be7843e294c4ebe5583867e9
    146 schema:familyName Priore
    147 schema:givenName Silvia Eloiza
    148 rdf:type schema:Person
    149 Nb02c5e42a4464e6fb0a4bb1f040e2121 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    150 schema:name Adolescent Behavior
    151 rdf:type schema:DefinedTerm
    152 Nbdefc06422f244899dff893101bb19bb rdf:first Ndf4aad526fa04ec3b0f004336a36569b
    153 rdf:rest N0f7c87c948f7407d89f34c7994f1c371
    154 Nc302bd48455d42d796fcdfa771c139eb schema:name nlm_unique_id
    155 schema:value 100968562
    156 rdf:type schema:PropertyValue
    157 Ncdc31791fae94a079f244e72f852114f rdf:first N726f6288da25429f8318e347c933d7cb
    158 rdf:rest N86592dbd0e7245a6b81244ef837f067f
    159 Ndb98dd22f9c042ce8eeed7dbc4bf8f6a schema:affiliation https://www.grid.ac/institutes/grid.411198.4
    160 schema:familyName Bastos
    161 schema:givenName Ronaldo Rocha
    162 rdf:type schema:Person
    163 Ndbd5afdecf6547d79ecda72f514fd298 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    164 schema:name Exercise
    165 rdf:type schema:DefinedTerm
    166 Ndf4aad526fa04ec3b0f004336a36569b schema:affiliation https://www.grid.ac/institutes/grid.411198.4
    167 schema:familyName de Faria
    168 schema:givenName Eliane Rodrigues
    169 rdf:type schema:Person
    170 Ne2afa008fade4c2babd9902cf104689c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    171 schema:name Adolescent
    172 rdf:type schema:DefinedTerm
    173 Ne4882b10165648728464fa393fa9cb67 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    174 schema:name Female
    175 rdf:type schema:DefinedTerm
    176 Ne4fe677897b04464abce4af6e86ab143 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
    177 schema:name Sedentary Behavior
    178 rdf:type schema:DefinedTerm
    179 Ne6a3772321d14c5aa8f383cece268ddb schema:affiliation https://www.grid.ac/institutes/grid.12799.34
    180 schema:familyName do Carmo Castro Franceschini
    181 schema:givenName Sylvia
    182 rdf:type schema:Person
    183 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    184 schema:name Medical and Health Sciences
    185 rdf:type schema:DefinedTerm
    186 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
    187 schema:name Public Health and Health Services
    188 rdf:type schema:DefinedTerm
    189 sg:journal.1024954 schema:issn 1471-2458
    190 schema:name BMC Public Health
    191 rdf:type schema:Periodical
    192 sg:pub.10.1007/s10964-017-0791-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093061749
    193 https://doi.org/10.1007/s10964-017-0791-4
    194 rdf:type schema:CreativeWork
    195 sg:pub.10.1007/s10964-017-0807-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100557673
    196 https://doi.org/10.1007/s10964-017-0807-0
    197 rdf:type schema:CreativeWork
    198 sg:pub.10.1007/s11121-011-0201-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047177138
    199 https://doi.org/10.1007/s11121-011-0201-1
    200 rdf:type schema:CreativeWork
    201 sg:pub.10.1007/s12529-014-9446-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1040880155
    202 https://doi.org/10.1007/s12529-014-9446-y
    203 rdf:type schema:CreativeWork
    204 sg:pub.10.1007/s40519-016-0359-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084040393
    205 https://doi.org/10.1007/s40519-016-0359-4
    206 rdf:type schema:CreativeWork
    207 sg:pub.10.1038/sj.ejcn.1600449 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018994198
    208 https://doi.org/10.1038/sj.ejcn.1600449
    209 rdf:type schema:CreativeWork
    210 sg:pub.10.1186/1479-5868-11-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020164249
    211 https://doi.org/10.1186/1479-5868-11-4
    212 rdf:type schema:CreativeWork
    213 sg:pub.10.1186/1479-5868-11-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005609967
    214 https://doi.org/10.1186/1479-5868-11-8
    215 rdf:type schema:CreativeWork
    216 sg:pub.10.1186/1479-5868-8-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009159740
    217 https://doi.org/10.1186/1479-5868-8-1
    218 rdf:type schema:CreativeWork
    219 sg:pub.10.1186/1479-5868-8-78 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048946533
    220 https://doi.org/10.1186/1479-5868-8-78
    221 rdf:type schema:CreativeWork
    222 sg:pub.10.1186/s12889-016-3373-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013450219
    223 https://doi.org/10.1186/s12889-016-3373-6
    224 rdf:type schema:CreativeWork
    225 sg:pub.10.1186/s12889-016-3757-7 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022919956
    226 https://doi.org/10.1186/s12889-016-3757-7
    227 rdf:type schema:CreativeWork
    228 sg:pub.10.1186/s12889-017-4034-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053828273
    229 https://doi.org/10.1186/s12889-017-4034-0
    230 rdf:type schema:CreativeWork
    231 sg:pub.10.1186/s12889-017-4677-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1091206743
    232 https://doi.org/10.1186/s12889-017-4677-x
    233 rdf:type schema:CreativeWork
    234 sg:pub.10.1186/s12966-017-0497-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084251476
    235 https://doi.org/10.1186/s12966-017-0497-8
    236 rdf:type schema:CreativeWork
    237 https://app.dimensions.ai/details/publication/pub.1080097872 schema:CreativeWork
    238 https://doi.org/10.1016/j.adolescence.2015.03.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011737429
    239 rdf:type schema:CreativeWork
    240 https://doi.org/10.1016/j.amepre.2011.05.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026729954
    241 rdf:type schema:CreativeWork
    242 https://doi.org/10.1016/j.jadohealth.2016.03.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016449033
    243 rdf:type schema:CreativeWork
    244 https://doi.org/10.1016/j.jadohealth.2017.11.298 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101147081
    245 rdf:type schema:CreativeWork
    246 https://doi.org/10.1016/j.jcjd.2013.08.266 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038726143
    247 rdf:type schema:CreativeWork
    248 https://doi.org/10.1016/j.jpeds.2016.12.048 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016220547
    249 rdf:type schema:CreativeWork
    250 https://doi.org/10.1016/s0140-6736(12)60646-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1000054841
    251 rdf:type schema:CreativeWork
    252 https://doi.org/10.1016/s0140-6736(12)61031-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006011967
    253 rdf:type schema:CreativeWork
    254 https://doi.org/10.1089/chi.2017.0250 schema:sameAs https://app.dimensions.ai/details/publication/pub.1093100168
    255 rdf:type schema:CreativeWork
    256 https://doi.org/10.1093/ajcn/79.5.921s schema:sameAs https://app.dimensions.ai/details/publication/pub.1076831476
    257 rdf:type schema:CreativeWork
    258 https://doi.org/10.1108/nfs-06-2015-0072 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043167557
    259 rdf:type schema:CreativeWork
    260 https://doi.org/10.1111/ijpo.12158 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029732470
    261 rdf:type schema:CreativeWork
    262 https://doi.org/10.1111/obr.12188 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005471474
    263 rdf:type schema:CreativeWork
    264 https://doi.org/10.1152/japplphysiol.00094.2008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009253094
    265 rdf:type schema:CreativeWork
    266 https://doi.org/10.1371/journal.pmed.1000413 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034077825
    267 rdf:type schema:CreativeWork
    268 https://doi.org/10.1542/peds.2011-1970 schema:sameAs https://app.dimensions.ai/details/publication/pub.1087097224
    269 rdf:type schema:CreativeWork
    270 https://doi.org/10.1542/peds.2017-3459 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101230735
    271 rdf:type schema:CreativeWork
    272 https://doi.org/10.1590/0102-311x00173412 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041826290
    273 rdf:type schema:CreativeWork
    274 https://doi.org/10.1590/1984-0462/;2018;36;4;00005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104167639
    275 rdf:type schema:CreativeWork
    276 https://doi.org/10.1590/s0034-8910.2013047004637 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045775245
    277 rdf:type schema:CreativeWork
    278 https://doi.org/10.1590/s1415-790x2010000100010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015509027
    279 rdf:type schema:CreativeWork
    280 https://doi.org/10.1590/s1517-86922005000200011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039392366
    281 rdf:type schema:CreativeWork
    282 https://doi.org/10.18637/jss.v042.i10 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068672632
    283 rdf:type schema:CreativeWork
    284 https://doi.org/10.3102/1076998616631743 schema:sameAs https://app.dimensions.ai/details/publication/pub.1070973306
    285 rdf:type schema:CreativeWork
    286 https://doi.org/10.3945/an.113.005678 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010295491
    287 rdf:type schema:CreativeWork
    288 https://www.grid.ac/institutes/grid.12799.34 schema:alternateName Universidade Federal de Viçosa
    289 schema:name Programa de Pós-Graduação em Ciência da Nutrição, Universidade Federal de Viçosa, Viçosa, Brasil
    290 Pós-Graduação Stricto Senso em Educação Física (PPGEFIUFV), Universidade Federal de Viçosa, Viçosa, Brazil
    291 rdf:type schema:Organization
    292 https://www.grid.ac/institutes/grid.411198.4 schema:alternateName Universidade Federal de Juiz de Fora
    293 schema:name Departamento de Nutrição, Universidade Federal de Juiz de Fora, Juiz de Fora, Brasil
    294 Programa de Pós-Graduação em Saúde Coletiva (UFJF), Laboratório de Informações Geo-referenciadas (UFJF), Juiz de Fora, Brazil
    295 Programa de Pós-Graduação em Saúde Coletiva (UFJF), Laboratório de Informações Geo-referenciadas (UFJF), Universidade Federal de Juiz de Fora, Juiz de Fora, Brazil
    296 rdf:type schema:Organization
     




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


    ...