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The impact of lifestyle and socioeconomic parameters on body fat level in early childhood

Published online by Cambridge University Press:  09 July 2021

Łukasz Kryst Open the ORCID record for Łukasz Kryst [Opens in a new window] ,
Magdalena Żegleń ,
Paulina Artymiak ,
Małgorzata Kowal  and
Agnieszka Woronkowicz
Łukasz Kryst*
Affiliation:
Department of Anthropology, Faculty of Physical Education and Sport, University of Physical Education in Kraków, Poland
Magdalena Żegleń
Affiliation:
Centrum HTA, Kraków, Poland
Paulina Artymiak
Affiliation:
Department of Anthropology, Faculty of Physical Education and Sport, University of Physical Education in Kraków, Poland
Małgorzata Kowal
Affiliation:
Department of Anthropology, Faculty of Physical Education and Sport, University of Physical Education in Kraków, Poland
Agnieszka Woronkowicz
Affiliation:
Department of Anthropology, Faculty of Physical Education and Sport, University of Physical Education in Kraków, Poland
*
*Corresponding author. Email: lkryst@poczta.onet.pl
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Abstract

The aim of this study was to examine the differences between selected lifestyle and socioeconomic parameters among preschool (3–7 years of age) children of differing adiposity status. The study was conducted from February to June 2018 in 20 randomly selected kindergartens in Kraków, Poland. Triceps, biceps, subscapular, suprailiac, abdominal and calf skinfold thicknesses were measured. The sum of all six skinfolds was calculated and the children were subsequently characterized by low (≤–1 SD [standard deviation]), normal (–1 to 1 SD) or high body fat (≥1 SD). Socioeconomic and lifestyle characteristics were obtained using a questionnaire filled out by the children’s parents or legal guardians. Preschool children in the high adiposity category had, on average, fewer siblings and longer screen time; additionally, their parents had lower education and more often worked in manual jobs, in comparison to the children in the low and average adiposity categories. In conclusion, it was observed that children in different adiposity categories varied in terms of some socioeconomic as well as lifestyle characteristics. Knowledge regarding the influence that those factors can have on the metabolic health of children is essential for children’s present as well as future well-being. Moreover, it can help health care professionals and parents decide what intervention and/ or preventive measures should be undertaken to ensure the best possible outcomes, as the development of successful obesity prevention strategies should rely on evidence-based information. Nonetheless, future research examining the issue of factors influencing the metabolic health of children, as well as these outcomes later in life, is crucial. Well-planned studies including a large number of individuals, as well as longitudinal research, will be particularly beneficial in this regard.

Keywords

SkinfoldsBody fatSocioeconomic parameters
Type
Research Article
Information
Journal of Biosocial Science , Volume 54 , Issue 4 , July 2022 , pp. 643 - 650
Copyright
© The Author(s), 2021. Published by Cambridge University Press

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References

Arcan, C, Hannan, PJ, Fulkerson, JA, Himes, JH, Rock, BH, Smyth, M and Story, M (2014) Associations of home food availability, dietary intake, screen time and physical activity with BMI in young American-Indian children. Public Health Nutrition 16(1), 146–155.CrossRefGoogle Scholar
Arora, T, Hosseini-Araghi, M, Bishop, J, Yao, GL, Thomas, GN and Taheri, S (2013) The complexity of obesity in UK adolescents: relationships with quantity and type of technology, sleep duration and quality, academic performance and aspiration. Pediatric Obesity 8(5), 358–366.CrossRefGoogle Scholar
Biddle, SJH, Pearson, N and Salmon, J (2018) Sedentary behaviors and adiposity in young people: causality and conceptual model. Exercise and Sport Sciences Reviews 46(1), 18–25.CrossRefGoogle ScholarPubMed
Biehl, A, Hovengen, R, Grøholt, EK, Hjelmesæth, J, Strand, BH and Meyer, HE (2013) Adiposity among children in Norway by urbanity and maternal education: a nationally representative study. BMC Public Health 13(1), 1–8.CrossRefGoogle ScholarPubMed
Bjelland, M, Lien, N, Bergh, IH, Grydeland, M, Anderssen, SA, Klepp, KI et al. (2010) Overweight and waist circumference among Norwegian 11-year-olds and associations with reported parental overweight and waist circumference: the HEIA study. Scandinavian Journal of Public Health 38(5_Supplement), 19–27.CrossRefGoogle ScholarPubMed
Borgogna, N, Lockhart, G, Grenard, JL, Barrett, T, Shiffman, S and Reynolds, KD (2015) Ecological momentary assessment of urban adolescents’ technology use and cravings for unhealthy snacks and drinks: differences by ethnicity and sex. Journal of the Academy of Nutrition and Dietetics 115(5), 759–766.CrossRefGoogle ScholarPubMed
Carson, V, Chaput, JP, Janssen, I and Tremblay, MS (2017) Health associations with meeting new 24-hour movement guidelines for Canadian children and youth. Preventive Medicine 95, 7–13.CrossRefGoogle ScholarPubMed
Chaput, JP, Saunders, TJ and Carson, V (2017) Interactions between sleep, movement and other non-movement behaviours in the pathogenesis of childhood obesity. Obesity Reviews 18 (Supplement 1), 7–14.CrossRefGoogle ScholarPubMed
Chen, AY and Escarce, JJ (2014) Family structure and childhood obesity: an analysis through 8th grade. Maternal and Child Health Journal 18(7), 1772–1777.CrossRefGoogle ScholarPubMed
Coombs, NA and Stamatakis, E (2015) Associations between objectively assessed and questionnaire-based sedentary behaviour with BMI-defined obesity among general population children and adolescents living in England. BMJ Open, 5(6), e007172.CrossRefGoogle ScholarPubMed
Deforche, B, Bourdeaudhuij, I, Tanghe, A, Hills, AP and Bode, P (2004) Changes in physical activity and psychosocial determinants of physical activity in children and adolescents treated for obesity. Patient Education and Counseling 55(3), 407–415.CrossRefGoogle ScholarPubMed
Deshmukh-Taskar, PR, Radcliffe, JD, Liu, Y and Nicklas, TA (2010) Do breakfast skipping and breakfast type affect energy intake, nutrient intake, nutrient adequacy, and diet quality in young adults? NHANES 1999–2002. Journal of the American College of Nutrition 29(4), 407–418.Google ScholarPubMed
Dumuid, D, Olds, T, Lewis, LK, Martin-Fernández, JA, Barreira, T, Broyles, S et al. (2018) The adiposity of children is associated with their lifestyle behaviours: a cluster analysis of school-aged children from 12 nations. Pediatric Obesity 13(2), 111–119.CrossRefGoogle ScholarPubMed
Falbe, J, Rosner, B, Willett, WC, Sonneville, KR, Hu, FB and Field, AE (2013) Adiposity and different types of screen time. Pediatrics 132(6), e1497–505.CrossRefGoogle ScholarPubMed
Ghavamzadeh, S, Khalkhali, HR and Alizadeh, M (2013) TV viewing, independent of physical activity and obesogenic foods, increases overweight and obesity in adolescents. Journal of Health, Population and Nutrition 31(3), 334–342.CrossRefGoogle ScholarPubMed
Janssen, I, Boyce, WF, Simpson, K and Pickett, W (2006) Influence of individual- and area-level measures of socioeconomic status on obesity, unhealthy eating, and physical inactivity in Canadian adolescents. American Journal of Clinical Nutrition 83(1), 139–145.CrossRefGoogle ScholarPubMed
Júlíusson, PB, Eide, GE, Roelants, M, Waaler, PE, Hauspie, R and Bjerknes, R (2010) Overweight and obesity in Norwegian children: prevalence and socio-demographic risk factors. Acta Paediatrica, International Journal of Paediatrics 99(6), 900–905.CrossRefGoogle ScholarPubMed
Juonala, M, Harcourt, BE, Saner, C, Sethi, M, Saffery, R, Magnussen, CG et al. (2019) Neighbourhood socioeconomic circumstances, adiposity and cardiometabolic risk measures in children with severe obesity. Obesity Research and Clinical Practice 13(4), 345–351.CrossRefGoogle ScholarPubMed
Juonala, M, Juhola, J, Magnussen, CG, Würtz, P, Viikari, JS, Thomson, R et al. (2011) Childhood environmental and genetic predictors of adulthood obesity: the cardiovascular risk in Young Finns Study. Journal of Clinical Endocrinology and Metabolism 96(9), E1542–E1549.CrossRefGoogle ScholarPubMed
Kryst, Ł and Bilińska, I (2017) Secular changes in birth weights and women’s body size in Kraków and Poznań (Poland) during the last century. Journal of Biosocial Science 49(3), 380–391.CrossRefGoogle ScholarPubMed
Kowal, M, Kryst, Ł, Sobiecki, J and Woronkowicz, A (2013) Secular trends in body composition and frequency of overweight and obesity in boys aged 3–18 from Krakow, Poland, within the last 30 years (from 1983 to 2010). Journal of Biosocial Science 45, 111–134.CrossRefGoogle Scholar
Kowal, M, Woronkowicz, A, Kryst, Ł, Sobiecki, J and Pilecki, MW (2016) Sex differences in prevalence of overweight and obesity, and in extent of overweight index, in children and adolescents (3–18 years) from Kraków, Poland in 1983, 2000 and 2010. Public Health Nutrition 19(06), 1035–1046.CrossRefGoogle ScholarPubMed
Leech, RM, McNaughton, SA and Timperio, A (2015) Clustering of diet, physical activity and sedentary behaviour among Australian children: cross-sectional and longitudinal associations with overweight and obesity. International Journal of Obesity 39(7), 1079–1085.CrossRefGoogle ScholarPubMed
Lundahl, A and Nelson, TD (2015) Sleep and food intake: a multisystem review of mechanisms in children and adults. Journal of Health Psychology 20(6), 794–805.CrossRefGoogle ScholarPubMed
Maddah, M and Nikooyeh, B (2010) Factors associated with overweight in children in Rasht, Iran: gender, maternal education, skipping breakfast and parental obesity. Public Health Nutrition 13(2), 196–200.CrossRefGoogle ScholarPubMed
Mazur, A, Klimek, K, Telega, G, Hejda, G, Wdowiak, L and Małecka-Tendera, E (2008) Risk factors for obesity development in school children from south-eastern Poland. Annals of Agriculture and Environmental Medicine 15(2), 281–285.Google ScholarPubMed
Meller, FO, Loret de Mola, C, Assunção, MCF, Schäfer, AA, Dahly, DL and Barros, FC (2018) Birth order and number of siblings and their association with overweight and obesity: a systematic review and meta-analysis. Nutrition Reviews 76(2), 117–124.CrossRefGoogle ScholarPubMed
Merchant, AT, Dehghan, M, Behnke-Cook, D and Anand, SS (2007) Diet, physical activity, and adiposity in children in poor and rich neighbourhoods: a cross-sectional comparison. Nutrition Journal 6(1), https://doi.org/10.1186/1475-2891-6-1 CrossRefGoogle Scholar
Miguel-Berges, ML, Zachari, K, Santaliestra-Pasias, AM, Mouratidou, T, Androutsos, O, Iotova, V et al. (2017) Clustering of energy balance-related behaviours and parental education in European preschool children: The ToyBox Study. British Journal of Nutrition 118(12), 1089–1096.CrossRefGoogle ScholarPubMed
Miller, AL, Miller, SE, LeBourgeois, MK, Sturza, J, Rosenblum, KL and Lumeng, JC (2019) Sleep duration and quality are associated with eating behavior in low-income toddlers. Appetite 135, 100–107.CrossRefGoogle ScholarPubMed
Moraeus, L, Lissner, L, Yngve, A, Poortvliet, E, Al-Ansari, U and Sjöberg, A (2012) Multi-level influences on childhood obesity in Sweden: Societal factors, parental determinants and childs lifestyle. International Journal of Obesity 36(7), 969–976.CrossRefGoogle Scholar
Mullins, EN, Miller, AL, Cherian, SS, Lumeng, JC, Wright, KP, Kurth, S and Lebourgeois, MK (2017) Acute sleep restriction increases dietary intake in preschool-age children. Journal of Sleep Research 26(1), 48–54.CrossRefGoogle ScholarPubMed
Nasreddine, L, Naja, F, Akl, C, Chamieh, M, Karam, S, Sibai, A-M and Hwalla, N (2014) Dietary, lifestyle and socio-economic correlates of overweight, obesity and central adiposity in Lebanese children and adolescents. Nutrients 6(3), 1038–1062.CrossRefGoogle ScholarPubMed
Nightingale, CM, Rudnicka, AR, Donin, AS, Sattar, N, Cook, DG, Whincup, PH and Owen, CG (2017) Screen time is associated with adiposity and insulin resistance in children. Archives of Disease in Childhood 102(7), 612–616.CrossRefGoogle ScholarPubMed
Ochiai, H, Shirasawa, T, Ohtsu, T, Nishimura, R, Morimoto, A, Obuchi, R et al. (2012) Number of siblings, birth order, and childhood overweight: a population-based cross-sectional study in Japan. BMC Public Health 12(1), 766.CrossRefGoogle ScholarPubMed
Park, MH, Falconer, C, Viner, RM and Kinra, S (2012) The impact of childhood obesity on morbidity and mortality in adulthood: a systematic review. Obesity Reviews 13(11), 985–1000.CrossRefGoogle ScholarPubMed
Patel, R, Lawlor, DA, Kramer, MS, Smith, GD, Bogdanovich, N, Matush, L and Martin, RM (2011) Socio-economic position and adiposity among children and their parents in the Republic of Belarus. European Journal of Public Health 21(2), 158–165.CrossRefGoogle ScholarPubMed
Robinson, SM, Crozier, SR, Harvey, NC, Barton, BD, Law, CM, Godfrey, KM et al. (2015) Modifiable early-life risk factors for childhood adiposity and overweight: an analysis of their combined impact and potential for prevention. American Journal of Clinical Nutrition 101(2), 368–375.CrossRefGoogle ScholarPubMed
Saldanha-Gomes, C, Marbac, M, Sedki, M, Cornet, M, Plancoulaine, S, Charles, MA et al. (2020) Clusters of diet, physical activity, television exposure and sleep habits and their association with adiposity in preschool children: the EDEN mother-child cohort. International Journal of Behavioral Nutrition and Physical Activity 17(1), 1–13.CrossRefGoogle ScholarPubMed
Santaliestra-Pasías, AM, Mouratidou, T, Reisch, L, Pigeot, I, Ahrens, W, Mårild, S et al. (2015) Clustering of lifestyle behaviours and relation to body composition in European children. the IDEFICS study. European Journal of Clinical Nutrition 69(7), 811–816.CrossRefGoogle ScholarPubMed
Serra-Majem, L, Ribas, L, Pérez-Rodrigo, C, García-Closas, R, Peña-Quintana, L and Aranceta, J (2002) Determinants of nutrient intake among children and adolescents: results from the enKid study. Annals of Nutrition and Metabolism 46 (Supplement 1), 31–38.CrossRefGoogle ScholarPubMed
Shrewsbury, V and Wardle, J (2008) Socioeconomic status and adiposity in childhood: a systematic review of cross-sectional studies 1990-2005. Obesity 16(2), 275–284.CrossRefGoogle ScholarPubMed
Szajewska, H and Ruszczyński, M (2010) Systematic review demonstrating that breakfast consumption influences body weight outcomes in children and adolescents in Europe. Critical Reviews in Food Science and Nutrition 50(2), 113–119.CrossRefGoogle ScholarPubMed
Tanner, JM (1962) Growth and Maturation during Adolescence. Blackwell Publishing, Oxford.Google Scholar
Tripathi, M and Mishra, SK (2020) Screen time and adiposity among children and adolescents: a systematic review. Journal of Public Health (Germany) 28, 227–244.CrossRefGoogle Scholar
Vazquez, CE and Cubbin, C (2020) Socioeconomic status and childhood obesity: a review of literature from the past decade to inform intervention research. Current Obesity Reports 9(4), 562–570.CrossRefGoogle ScholarPubMed
Veugelers, PJ and Fitzgerald, AL (2005) Prevalence of and risk factors for childhood overweight and obesity. CMAJ 173(6), 607–613.CrossRefGoogle ScholarPubMed
Wang, H, Sekine, M, Chen, X, Kanayama, H, Yamagami, T and Kagamimori, S (2007) Sib-size, birth order and risk of overweight in junior high school students in Japan: results of the Toyama Birth Cohort Study. Preventive Medicine 44(1), 45–51.CrossRefGoogle ScholarPubMed
World Health Organisation [WHO] (2019) Guidelines on Physical Activity, Sedentary Behaviour and Sleep for Children Under 5 Years of Age.Google Scholar
Żegleń, M, Kryst, Ł, Kowal, M, Sobiecki, J and Woronkowicz, A (2021) Changes in adiposity and fat tissue distribution among preschool children from Kraków, Poland, from 2008 to 2018. Journal of Biosocial Science, doi:org/10.1017/S0021932021000018.Google Scholar