Lifestyle behaviors clusters in a nationwide sample of Spanish children and adolescents: PASOS study.
Journal
Pediatric research
ISSN: 1530-0447
Titre abrégé: Pediatr Res
Pays: United States
ID NLM: 0100714
Informations de publication
Date de publication:
Dec 2023
Dec 2023
Historique:
received:
07
11
2022
accepted:
08
06
2023
revised:
29
05
2023
medline:
27
11
2023
pubmed:
16
7
2023
entrez:
15
7
2023
Statut:
ppublish
Résumé
Youth is a vulnerable period. To classify lifestyle behaviors and its relationship with health-related outcomes of Spanish children and adolescents. Cross-sectional study including 3261 children aged 7.5-17.5 y (52.8% females). Physical activity (PA), screen-time, sleep time, adherence to Mediterranean diet (MD), weight status (WS) by validated methods. Cluster analysis was run considering chronological age. Six clusters were identified: C1: high screen time, low adherence to MD and sleep time (n = 431,13.20%); C2: high WS, medium adherence to MD,high sleep time, and low screen time (n = 466,14.30%); C3: young group with low screen time and high PA, adherence to MD and sleep (n = 537,16.40%); C4: worst profile regarding adherence to MD, PA, WS and sleep time (n = 609,18.70%); C5: low screen time and PA, high sleep time (n = 804,24.70%); C6: high PA and screen time, low WS (n = 414,12.70%). Mean absolute values were statistically different among PA levels, screen and sleep time, adherence to MD, age, and WS (all p < 0.001). The most prevalent pattern was low levels of PA, MD, and screen time, and high sleep time. The second most prevalent was characterized by very low levels of PA, sleep time, and adherence to MD, and high screen time, and WS in adolescents. The main identified lifestyle behavior was poor physical activity, low adherence to Mediterranean Diet and high screen and sleep time. Children should increase physical activity levels, adherence to Mediterranean diet, decrease screen and sleep the appropriate hours per day. Families, schools, and medical communities must work together to gloss over present and future diseases. Sleep time had not been previously included in cluster analysis with physical activity, sedentary behaviors, obesity, and nutritional status, thus the present data open a new perspective in Spanish population. Health policies should focus on promoting physical activity, Mediterranean diet, adequate sleep and reducing screen time.
Sections du résumé
BACKGROUND
BACKGROUND
Youth is a vulnerable period. To classify lifestyle behaviors and its relationship with health-related outcomes of Spanish children and adolescents.
METHODS
METHODS
Cross-sectional study including 3261 children aged 7.5-17.5 y (52.8% females). Physical activity (PA), screen-time, sleep time, adherence to Mediterranean diet (MD), weight status (WS) by validated methods. Cluster analysis was run considering chronological age.
RESULTS
RESULTS
Six clusters were identified: C1: high screen time, low adherence to MD and sleep time (n = 431,13.20%); C2: high WS, medium adherence to MD,high sleep time, and low screen time (n = 466,14.30%); C3: young group with low screen time and high PA, adherence to MD and sleep (n = 537,16.40%); C4: worst profile regarding adherence to MD, PA, WS and sleep time (n = 609,18.70%); C5: low screen time and PA, high sleep time (n = 804,24.70%); C6: high PA and screen time, low WS (n = 414,12.70%). Mean absolute values were statistically different among PA levels, screen and sleep time, adherence to MD, age, and WS (all p < 0.001).
CONCLUSIONS
CONCLUSIONS
The most prevalent pattern was low levels of PA, MD, and screen time, and high sleep time. The second most prevalent was characterized by very low levels of PA, sleep time, and adherence to MD, and high screen time, and WS in adolescents.
IMPACT STATEMENT
UNASSIGNED
The main identified lifestyle behavior was poor physical activity, low adherence to Mediterranean Diet and high screen and sleep time. Children should increase physical activity levels, adherence to Mediterranean diet, decrease screen and sleep the appropriate hours per day. Families, schools, and medical communities must work together to gloss over present and future diseases. Sleep time had not been previously included in cluster analysis with physical activity, sedentary behaviors, obesity, and nutritional status, thus the present data open a new perspective in Spanish population. Health policies should focus on promoting physical activity, Mediterranean diet, adequate sleep and reducing screen time.
Identifiants
pubmed: 37454185
doi: 10.1038/s41390-023-02710-2
pii: 10.1038/s41390-023-02710-2
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
2077-2084Informations de copyright
© 2023. The Author(s), under exclusive licence to the International Pediatric Research Foundation, Inc.
Références
Leis, R. et al. Cluster analysis of physical activity patterns, and relationship with sedentary behavior and healthy lifestyles in prepubertal children: genobox cohort. Nutrients 12, 1288 (2020).
pubmed: 32370020
pmcid: 7282254
doi: 10.3390/nu12051288
Miller, M. A., Kruisbrink, M., Wallace, J., Ji, C. & Cappuccio, F. P. Sleep duration and incidence of obesity in infants, children, and adolescents: a systematic review and meta-analysis of prospective studies. Sleep 41, https://doi.org/10.1093/sleep/zsy018 (2018).
Hynynen, S. T. et al. A systematic review of school-based interventions targeting physical activity and sedentary behaviour among older adolescents. Int Rev. Sport Exerc Psychol. 9, 22–44 (2016).
pubmed: 26807143
doi: 10.1080/1750984X.2015.1081706
Khan, A., Uddin, R. & Islam, S. M. S. Clustering patterns of behavioural risk factors for cardiovascular diseases in bangladeshi adolescents: a population-based study. Health Policy Technol. 8, 386–392 (2019).
doi: 10.1016/j.hlpt.2019.09.003
Bull, F. C. et al. World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Br. J. Sports Med. 54, 1451–1462 (2020).
pubmed: 33239350
doi: 10.1136/bjsports-2020-102955
Neira, M. & de Onis, M. The Spanish strategy for nutrition, physical activity and the prevention of obesity. Br. J. Nutr. 96(Suppl 1), S8–S11 (2006).
pubmed: 16923257
doi: 10.1079/BJN20061690
García-Soidán, J. L., Leirós-Rodríguez, R., Romo-Pérez, V. & Arufe-Giráldez, V. Evolution of the habits of physical activity and television viewing in Spanish children and pre-adolescents between 1997 and 2017. Int J. Environ. Res. Public Health 17, 6836 (2020).
pubmed: 32962116
pmcid: 7558877
doi: 10.3390/ijerph17186836
Roman-Viñas, B., Zazo, F., Martínez-Martínez, J., Aznar-Laín, S. & Serra-Majem, L. Results from Spain’s 2018 report card on physical activity for children and youth. J. Phys. Act. Health 15, S411–S412 (2018).
pubmed: 30475128
doi: 10.1123/jpah.2018-0464
Leech, R. M., McNaughton, S. A. & Timperio, A. The clustering of diet, physical activity and sedentary behavior in children and adolescents: a review. Int J. Behav. Nutr. Phys. Act. 11, 4 (2014).
pubmed: 24450617
pmcid: 3904164
doi: 10.1186/1479-5868-11-4
Wärnberg, J. et al. Screen time and parents’ education level are associated with poor adherence to the Mediterranean Diet in Spanish children and adolescents: The Pasos study. J. Clin. Med 10, 795 (2021).
pubmed: 33669366
pmcid: 7920265
doi: 10.3390/jcm10040795
Sánchez-Oliva, D. et al. Lifestyle clusters in school-aged youth and longitudinal associations with fatness: The up&Down study. J. Pediatr. 203, 317–324.e311 (2018).
pubmed: 30243538
doi: 10.1016/j.jpeds.2018.07.092
Santaliestra-Pasías, A. M. et al. Clustering of lifestyle behaviours and relation to body composition in European children. The Idefics study. Eur. J. Clin. Nutr. 69, 811–816 (2015).
pubmed: 26039315
doi: 10.1038/ejcn.2015.76
Teh, C. H. et al. Clustering of lifestyle risk behaviours and its determinants among school-going adolescents in a middle-income Country: A cross-sectional study. BMC Public Health 19, 1177 (2019).
pubmed: 31455283
pmcid: 6712662
doi: 10.1186/s12889-019-7516-4
Pérez-Rodrigo, C. et al. Clustering of dietary patterns, lifestyles, and overweight among spanish children and adolescents in the anibes study. Nutrients 8, 11 (2015).
pubmed: 26729155
pmcid: 4728625
doi: 10.3390/nu8010011
D’Souza, N. J. et al. A systematic review of lifestyle patterns and their association with adiposity in children aged 5-12 years. Obes. Rev. 21, e13029 (2020).
pubmed: 32297464
doi: 10.1111/obr.13029
Mayne, S. L., Virudachalam, S. & Fiks, A. G. Clustering of unhealthy behaviors in a nationally representative sample of U.S. children and adolescents. Prev. Med. 130, 105892 (2020).
pubmed: 31715216
doi: 10.1016/j.ypmed.2019.105892
Patton, G. C. et al. Health of the world’s adolescents: a synthesis of internationally comparable data. Lancet 379, 1665–1675 (2012).
pubmed: 22538181
doi: 10.1016/S0140-6736(12)60203-7
Uddin, R., Lee, E. Y., Khan, S. R., Tremblay, M. S. & Khan, A. Clustering of lifestyle risk factors for non-communicable diseases in 304,779 adolescents from 89 countries: a global perspective. Prev. Med. 131, 105955 (2020).
pubmed: 31862205
doi: 10.1016/j.ypmed.2019.105955
Gómez, S. F. et al. Study protocol of a population-based cohort investigating physical activity, sedentarism, lifestyles and obesity in Spanish youth: The Pasos study. BMJ Open 10, e036210 (2020).
pubmed: 32967871
pmcid: 7513598
doi: 10.1136/bmjopen-2019-036210
Steel, D. Multistage Sampling. In: International Encyclopedia of Statistical Sciences (ed. Lovric, M.) (2011).
Sedgwick, P. Multistage sampling. BMJ : Br. Med. J. 351, h4155 (2015).
doi: 10.1136/bmj.h4155
Instituto Nacional de Estadística (INE). Youth Population, http://www.ine.es/jaxi/Tabla.htm?path=/t20/e245/p08/l0/&file=02002.px (2018).
Zamora Saiz, A., Quesada González, C., Hurtado Gil, L. S. & Mondéjar Ruiz, D. An Introduction to Data Analysis in R: Hands-on Coding, Data Mining, Visualization and Statistics from Scratch. (2020).
Schröder, H. et al. Validity, reliability, and calibration of the physical activity unit 7 item screener (Pau-7s) at population scale. Int. J. Behav. Nutr. Phys. Act. 18, 98 (2021).
pubmed: 34274002
pmcid: 8285783
doi: 10.1186/s12966-021-01169-w
Rey-López, J. P. et al. Reliability and validity of a screen time-based sedentary behaviour questionnaire for adolescents: The Helena Study. Eur. J. Public Health 22, 373–377 (2012).
pubmed: 21498560
doi: 10.1093/eurpub/ckr040
Wolfson, A. R. et al. Evidence for the validity of a sleep habits survey for adolescents. Sleep 26, 213–216 (2003).
pubmed: 12683482
doi: 10.1093/sleep/26.2.213
Hirshkowitz, M. et al. National sleep foundation’s sleep time duration recommendations: methodology and results summary. Sleep. Health 1, 40–43 (2015).
pubmed: 29073412
doi: 10.1016/j.sleh.2014.12.010
García Cabrera, S. et al. Kidmed test; prevalence of low adherence to the Mediterranean diet in children and young; a systematic review. Nutr. Hosp. 32, 2390–2399 (2015).
pubmed: 26667685
Mariscal-Arcas, M. et al. Evaluation of the mediterranean diet quality index (Kidmed) in children and adolescents in Southern Spain. Public Health Nutr. 12, 1408–1412 (2009).
pubmed: 19087384
doi: 10.1017/S1368980008004126
de Onis, M. et al. Development of a who growth reference for school-aged children and adolescents. Bull. World Health Organ 85, 660–667 (2007).
pubmed: 18026621
pmcid: 2636412
doi: 10.2471/BLT.07.043497
World Health Organization (WHO). Bmi for Age (5–19 Years), https://www.who.int/tools/growth-reference-data-for-5to19-years/indicators/bmi-for-age (2007).
Nawarycz, T. et al. Waist-to-height ratio as a measure of abdominal obesity in Southern Chinese and European children and adolescents. Int. J. Obes. 40, 1109–1118 (2016).
doi: 10.1038/ijo.2015.251
World Health Organization (WHO). Weighing and Measuring a Child. In: Training Course and Other Tools. (WHO, Geneva, 2008).
Prevention, C. f. D. C. a. Child Development, https://www.cdc.gov/ncbddd/childdevelopment/positiveparenting/adolescence.html (2021).
Huang, Z. Extensions to the K-means algorithm for clustering large data sets with categorical values. Data Min. Knowl. Discov. 2, 283–304 (1998).
doi: 10.1023/A:1009769707641
He, Z., Xu, X. & Deng, S. Squeezer: an efficient algorithm for clustering categorical data. J. Comput. Sci. Technol. 17, 611–624 (2002).
doi: 10.1007/BF02948829
Rousseeuw, L. K. P. J. Findings Groups in Data: An Introduction to Cluster Nalaysis (1990).
Cross, G. R. & Jain, A. K. Measurement of clustering tendency*. IFAC Proc. Volumes 15, 315–320 (1982).
doi: 10.1016/S1474-6670(17)63365-2
Gómez, S., Robles, C. & Homs. C. Resultados Principales Del Estudio Pasos 2019 Sobre La Actividad Física, Los Estilos De Vida Y La Obesidad De La Población Española De 8 a 16 años. (Gasol Foundation, 2019).
Laguna, M., Ruiz, J. R., Lara, M. T. & Aznar, S. Recommended levels of physical activity to avoid adiposity in Spanish children. Pediatr. Obes. 8, 62–69 (2013).
pubmed: 22961693
doi: 10.1111/j.2047-6310.2012.00086.x
Miguel-Berges, M. L., Reilly, J. J., Moreno Aznar, L. A. & Jiménez-Pavón, D. Associations between pedometer-determined physical activity and adiposity in children and adolescents: systematic review. Clin. J. Sport Med 28, 64–75 (2018).
pubmed: 28704256
doi: 10.1097/JSM.0000000000000419
Moliner-Urdiales, D. et al. Association of objectively assessed physical activity with total and central body fat in Spanish adolescents; the Helena study. Int J. Obes. (Lond.) 33, 1126–1135 (2009).
pubmed: 19597518
doi: 10.1038/ijo.2009.139
Poitras, V. J. et al. Systematic review of the relationships between objectively measured physical activity and health indicators in school-aged children and youth. Appl Physiol. Nutr. Metab. 41, S197–S239 (2016).
pubmed: 27306431
doi: 10.1139/apnm-2015-0663
World Health Organization (WHO). Physical Activity and Young People. Recommended Levels of Physical Activity for Children Aged 5–17 Years. In: Global Strategy on Diet, Physical Activity and Health, https://www.who.int/dietphysicalactivity/factsheet_young_people/en/ (2020).
Mohammadi, S. et al. Dietary and physical activity patterns related to cardio-metabolic health among malaysian adolescents: a systematic review. BMC Public Health 19, 251 (2019).
pubmed: 30819123
pmcid: 6396523
doi: 10.1186/s12889-019-6557-z
Busch, V., Van Stel, H. F., Schrijvers, A. J. P. & de Leeuw, J. R. J. Clustering of health-related behaviors, health outcomes and demographics in Dutch adolescents: a cross-sectional study. BMC Public Health 13, 1118 (2013).
pubmed: 24305509
pmcid: 3890495
doi: 10.1186/1471-2458-13-1118
Mielgo-Ayuso, J. et al. Physical activity patterns of the spanish population are mostly determined by sex and age: findings in the anibes study. PLoS One 11, e0149969 (2016).
pubmed: 26914609
pmcid: 4768005
doi: 10.1371/journal.pone.0149969
Landsberg, B. et al. Clustering of lifestyle factors and association with overweight in adolescents of the kiel obesity prevention study. Public Health Nutr. 13, 1708–1715 (2010).
pubmed: 20883570
doi: 10.1017/S1368980010002260
Bai, Y. et al. The associations of youth physical activity and screen time with fatness and fitness: The 2012 Nhanes national youth fitness survey. PLoS One 11, e0148038 (2016).
pubmed: 26820144
pmcid: 4731469
doi: 10.1371/journal.pone.0148038
Banfield, E. C., Liu, Y., Davis, J. S., Chang, S. & Frazier-Wood, A. C. Poor adherence to US Dietary Guidelines for Children and Adolescents in the National Health and Nutrition Examination Survey Population. J. Acad. Nutr. Diet. 116, 21–27 (2016).
pubmed: 26391469
doi: 10.1016/j.jand.2015.08.010
Yang, L. et al. Trends in Sedentary Behavior among the Us Population, 2001–2016. JAMA 321, 1587–1597 (2019).
pubmed: 31012934
pmcid: 6487546
doi: 10.1001/jama.2019.3636
Bel-Serrat, S. et al. Clustering of multiple lifestyle behaviours and its association to cardiovascular risk factors in children: The Idefics study. Eur. J. Clin. Nutr. 67, 848–854 (2013).
pubmed: 23632753
doi: 10.1038/ejcn.2013.84
González-Gross, M., Gómez-Lorente, J. J., Valtueña, J., Ortiz, J. C. & Meléndez, A. The "Healthy Lifestyle Guide Pyramid" for children and adolescents. Nutrición Hospitalaria 23, 159–168 (2008).
pubmed: 18509897
Bibiloni, M. D. M. et al. Determinants of adherence to the mediterranean diet in spanish children and adolescents: The Pasos study. Nutrients 14, 738 (2022).
pubmed: 35215388
pmcid: 8874357
doi: 10.3390/nu14040738
Pedersen, S., Grønhøj, A. & Thøgersen, J. Following family or friends. social norms in adolescent healthy eating. Appetite 86, 54–60 (2015).
pubmed: 25088047
doi: 10.1016/j.appet.2014.07.030
Helsel, B. C., Liang, J., Williams, J. E., Griffin, S. F. & Spitler, H. Family and friend influences on fruit and vegetable intake in elementary aged children. J. Commun. Health 44, 932–940 (2019).
doi: 10.1007/s10900-019-00640-x
López-Gil, J. F., Reis Gaya, A., Duarte Junior, M. A. D. S. & Yuste Lucas, J. L. Meeting international screen-time guidelines is associated with healthy dietary patterns in Spanish schoolchildren. Nutrición Hospitalaria 37, 1123–1129 (2020).
pubmed: 33119398
Bayon, V., Leger, D., Gomez-Merino, D., Vecchierini, M. F. & Chennaoui, M. Sleep debt and obesity. Ann. Med. 46, 264–272 (2014).
pubmed: 25012962
doi: 10.3109/07853890.2014.931103