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2. Cluster Analysis of Physical Activity Patterns, and Relationship with Sedentary Behavior and Healthy Lifestyles in Prepubertal Children: Genobox Cohort

Author

Gloria Bueno, Francisco Jesus Llorente-Cantarero, Concepción M. Aguilera, Juan Jose Bedoya-Carpente, Augusto Anguita-Ruiz, Mercedes Gil-Campos, Jose Manuel Jurado-Castro, Rosaura Leis, Azahara Iris-Rupérez, Rocío Vázquez-Cobela, Universidade de Santiago de Compostela. Departamento de Ciencias Forenses, Anatomía Patolóxica, Xinecoloxía e Obstetricia, e Pediatría, [Leis,R, Bedoya-Carpente,JJ, Vázquez-Cobela,R] Unidad de Investigación en Nutrición, Crecimiento y Desarrollo Humano de Galicia, Departamento de Pediatría, Hospital Clínico Universitario de Santiago, Universidad de Santiago de Compostela, IDIS, Santiago de Compostela, Spain. [Leis,R, Llorente-Cantarero,FJ, Anguita-Ruiz,A, Vázquez-Cobela,R, Aguilera,CM, Bueno,G, Gil-Campos,M] CIBEROBN, (Physiopathology of Obesity and Nutrition) Institute of Health Carlos III (ISCIII), Madrid, Spain. [Jurado-Castro,JM, Gil-Campos,M] Metabolism and Investigation Unit, Reina Sofia University Hospital, Maimónides Institute of Biomedicine Research of Córdoba (IMIBIC), University of Córdoba, Córdoba, Spain. [Llorente-Cantarero,FJ] Department of Artistic and Corporal Education, Faculty of Education, University of Córdoba, Córdoba, Spain. [Anguita-Ruiz,A, Aguilera,CM] Department of Biochemistry and Molecular Biology II, Institute of Nutrition and Food Technology 'José Mataix', Center of Biomedical Research, University of Granada, Armilla, Granada, Spain. [Anguita-Ruiz,A, Aguilera,CM] Instituto de Investigación Biosanitaria ibs, Granada, Spain. [Iris-Rupérez,A] GENUD Research Group, University of Zaragoza, Instituto Agroalimentario de Aragón (IA2), Instituto de Investigación Sanitaria (IIS) Aragón, Zaragoza, Spain. [Bueno,G] Unidad de Endocrinología Pediátrica, Hospital Clínico Lozano Blesa, Facultad de Medicina, Universidad de Zaragoza, Zaragoza, Spain., and This work was supported bythe Plan Nacional de Investigación Científica, Desarrollo e InnovaciónTecnológica (I + D + I), Instituto de Salud Carlos III-Health Research Funding (FONDOS FEDER) (PI051968, PI1102042 and PI1600871) and Redes temáticas de investigación cooperativa RETIC (Red SAMID RD12/0026/0015). The authors also acknowledge Instituto de Salud Carlos III for personal funding of A.A.-R: Contratos i-PFIS: doctorados IIS empresa en ciencias y tecnologías de la salud de la convocatoria 2017 de la Acción Estratégica en Salud 2013–2016 (IFI17/00048).This paper will be included in J.M.J.-C. doctorate, under the 'Social and Legal Sciences Program' at theUniversity of Córdoba, Spain.

Subjects
Male, obesity, Mediterranean diet, Health Behavior, Obesidad, Child Behavior, Diet, Mediterranean, Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings], Cohort Studies, 0302 clinical medicine, Surveys and Questionnaires, Cluster Analysis, Insulin, 030212 general & internal medicine, skin and connective tissue diseases, Child, Chemicals and Drugs::Lipids::Glycerides::Triglycerides [Medical Subject Headings], Nutrition and Dietetics, exercise, Psychiatry and Psychology::Behavior and Behavior Mechanisms::Behavior::Health Behavior [Medical Subject Headings], Analytical, Diagnostic and Therapeutic Techniques and Equipment::Therapeutics::Nutrition Therapy::Diet Therapy::Diet, Mediterranean [Medical Subject Headings], Analytical, Diagnostic and Therapeutic Techniques and Equipment::Equipment and Supplies::Electrical Equipment and Supplies [Medical Subject Headings], Conducta sedentaria, Ejercicio físico, Cardiovascular diseases, Psychiatry and Psychology::Behavior and Behavior Mechanisms::Behavior::Child Behavior [Medical Subject Headings], Cohort, Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Health Surveys::Nutrition Surveys::Diet Surveys [Medical Subject Headings], Female, Anthropology, Education, Sociology and Social Phenomena::Human Activities::Leisure Activities::Recreation::Sports [Medical Subject Headings], Club, Enfermedades cardiovasculares, lcsh:Nutrition. Foods and food supply, Sports, musculoskeletal diseases, Electrical Equipment and Supplies, Anatomy::Digestive System::Pancreas::Islets of Langerhans::Insulin-Secreting Cells [Medical Subject Headings], Physical activity, Check Tags::Male [Medical Subject Headings], 030209 endocrinology & metabolism, lcsh:TX341-641, Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Cluster Analysis [Medical Subject Headings], Disease cluster, Article, Information Science::Information Science::Data Collection::Questionnaires [Medical Subject Headings], 03 medical and health sciences, Screen time, Environmental health, Anthropology, Education, Sociology and Social Phenomena::Human Activities::Exercise [Medical Subject Headings], medicine, Humans, Persons::Persons::Age Groups::Child [Medical Subject Headings], Healthy Lifestyle, Obesity, Exercise, Triglycerides, business.industry, Psychiatry and Psychology::Behavior and Behavior Mechanisms::Psychology, Social::Life Style [Medical Subject Headings], Anthropometry, medicine.disease, Dieta mediterránea, cardiovascular diseases, stomatognathic diseases, Check Tags::Female [Medical Subject Headings], Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies [Medical Subject Headings], Sedentary Behavior, business, Food Science
Abstract

The authors would like to thank the children and parents who participated in the study and Ana Yara Postigo-Fuentes for the assistance with the English editing., Sedentary habits during childhood are associated with adverse health outcomes. The aim of this work was to cluster lifestyle behaviors and metabolic biomarkers to establish different patterns in children. Their physical and sedentary activities were evaluated by accelerometry, and questionnaires that included lifestyle behaviors, such as adherence to a Mediterranean diet, anthropometry and blood biochemical markers. Cluster analysis was performed to establish different groups based on physical activity levels. A total of 489 children were finally selected. Cluster 1 included children with a mostly sedentary state, whereas Cluster 3 included the most active children and Cluster 2 included children that did not fit into either the sedentary or the highly active groups. In Cluster 3, 56% of children were in a sports club, and a lower percentage used electronic devices in their rooms compared to the other groups. Cluster 1 children exhibited higher insulin, HOMA-IR and triacylglycerides with respect to the other groups. No differences were found regarding adherence to a Mediterranean diet. The choice to practice an extracurricular sport could be an influencing factor to increase exercise and ensure an active lifestyle in children. Reducing or limiting screen time mainly in children’s rooms could contribute to an active lifestyle., Plan Nacional de Investigacion Cientifica, Desarrollo e InnovacionTecnologica (I + D + I), Instituto de Salud Carlos III-Health Research Funding (FONDOS FEDER) PI051968 PI1102042 PI1600871, Redes tematicas de investigacion cooperativa RETIC (Red SAMID) RD12/0026/0015, Instituto de Salud Carlos III IFI17/00048

Published
2020

3. A systematic review of determinants of sedentary behaviour in youth: a DEDIPAC-study

Author

Stierlin, Annabel, de Lepeleere, Sara, Cardon, Greet, Dargent-Molina, Patricia, Hoffmann, Belinda, Murphy, Marie, Kennedy, Aileen, O’donoghue, Grainne, Chastin, Sebastien, de Craemer, Marieke, Institute of Epidemiology and Medical Biometry, Universität Ulm - Ulm University [Ulm, Allemagne], Section Health Economics and Health Services Research, Department of Psychiatry II, Bezirkskrankenhaus Günzburg Neurochirurgische Klinik-Bezirkskrankenhaus Günzburg Neurochirurgische Klinik, Department of Movement and Sports Sciences, Ghent University [Belgium] (UGENT), Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS (U1153 / UMR_A_1125 / UMR_S_1153)), Institut National de la Recherche Agronomique (INRA)-Université Paris Diderot - Paris 7 (UPD7)-Université Paris Descartes - Paris 5 (UPD5)-Université Sorbonne Paris Cité (USPC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Division of Sports and Rehabilitation Medicine, Sport and Exercise Sciences Research Institute, University of Ulster, Centre for Preventive Medicine, School of Health and Human Performance, Dublin City University [Dublin] (DCU), Institute of Applied Health Research, School of Health and Life Science, Glasgow Caledonian University-Glasgow Caledonian University, The preparation of this paper was supported by the DEterminants of DIetand Physical ACtivity (DEDIPAC) knowledge hub. This work is supported bythe Joint Programming Initiative‘Healthy Diet for a Healthy Life’. The funding agencies supporting this work are (on alphabetical order of participating Member State): Belgium: Research Foundation–Flanders, France: InstitutNational de la Recherche Agronomique (INRA), Germany: Federal Ministry of Education and Research (BMBF), Ireland: The Health Research Board (HRB), The United Kingdom: The Medical Research Council (MRC).Sara De Lepeleere is a recipient of a PhD-scholarship from the Flemish Agency for Care and Health (B/12732/01) and is supported by the Research Foundation Flanders (FWO) (FWO14/ASP/066). Marieke De Craemer is supported by the Research Foundation Flanders (FWO) (FWO.OPR.2013.0366.01), Ulm University, Bezirkskrankenhaus Günzburg Neurochirurgische Klinik - Bezirkskrankenhaus Günzburg Neurochirurgische Klinik, Centre de Recherche Épidémiologie et Statistique Sorbonne Paris Cité (CRESS), Institut National de la Recherche Agronomique (INRA) - Université Paris Diderot - Paris 7 (UPD7) - Université Paris Descartes - Paris 5 (UPD5) - Université Paris 13 - Institut National de la Santé et de la Recherche Médicale (INSERM), Universität Ulm, Glasgow Caledonian University - Glasgow Caledonian University, Universiteit Gent = Ghent University [Belgium] (UGENT), Universiteit Gent = Ghent University (UGENT), and BMC, BMC

Subjects
TELEVISION, Nutrition and Dietetics, Youth, [SDV]Life Sciences [q-bio], Determinant, IOWA BONE-DEVELOPMENT, YOUNG-PEOPLE, ADOLESCENT GIRLS, Medicine (miscellaneous), PHYSICAL-ACTIVITY LEVELS, CHILDREN, Sedentary behaviour, Adolescents, HEALTH INDICATORS, Screen time, [SDV] Life Sciences [q-bio], OBESITY, Medicine and Health Sciences, PRIMARY-SCHOOL, Children, Sitting, SCREEN-TIME
Abstract

International audience; AbstractSedentary behaviour (SB) has emerged as a potential risk factor for metabolic health in youth. Knowledge on the determinants of SB in youth is necessary to inform future intervention development to reduce SB. A systematic review was conducted to identify predictors and determinants of SB in youth. Pubmed, Embase, CINAHL, PsycINFO and Web of Science were searched, limiting to articles in English, published between January 2000 and May 2014. The search strategy was based on four key elements and their synonyms: (a) sedentary behaviour, (b) determinants, (c) types of sedentary behaviours, (d) types of determinants. The full protocol is available from PROSPERO (PROSPERO 2014:CRD42014009823). Cross-sectional studies were excluded. The analysis was guided by the socio-ecological model. 37 studies were selected out of 2654 identified papers from the systematic literature search. Most studies were conducted in Europe (n = 13), USA (n = 11), and Australia (n = 10). The study quality, using the Qualsyst tool, was high with a median of 82 % (IQR: 74–91 %). Multiple potential determinants were studied in only one or two studies. Determinants were found at the individual, interpersonal, environmental and policy level but few studies examined a comprehensive set of factors at different levels of influences. Evidence was found for age being positively associated with total SB, and weight status and baseline assessment of screen time being positively associated with screen time (at follow-up). A higher playground density and a higher availability of play and sports equipment at school were consistently related to an increased total SB, although these consistent findings come from single studies. Evidence was also reported for the presence of safe places to cross roads and lengthening morning and lunch breaks being associated with less total SB. Future interventions to decrease SB levels should especially target children with overweight or obesity and should start at a young age. However, since the relationship of many determinants with SB remains inconsistent, there is still a need for more longitudinal research on determinants of SB in youth.

Published
2015