Prospective Associations Between Socioeconomically Disadvantaged Groups and Metabolic Syndrome Risk in European Children: Results from the IDEFICS Study

Isabel Iguacel, Nathalie Michels, Wolfgang Ahrens, Karin Bammann, Gabriele Eiben, Juan M. Fernandez-Alvira, Staffan Mårild, Dénes Molnar, Lucia A. Reisch, Paola Russo, Michael Tornaritis, Toomas Veidebaum, Maike Wolters, Luis Alberto Moreno, Claudia Börnhorst

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

Objective: Socioeconomic disadvantages during childhood are hypothesised to have negative implications for health. We aimed to investigate the association between socioeconomic disadvantages and children's total metabolic syndrome (MetS) score at baseline and follow-up and the extent to which socioeconomic disadvantages over time and the accumulation of these socioeconomic disadvantages can affect children's MetS risk.
Methods: The two-year longitudinal IDEFICS study included 2401 European children (aged 2.0–9.9) with complete information of the 16,229 participating at baseline. Sociodemographic variables, psychosocial factors and lifestyle were proxy-reported via questionnaires. Socioeconomically disadvantaged groups included children from families with low income, low education, migrant origin, unemployed parents, parents who lacked a social network, and from non-traditional families. MetS risk score was calculated as the sum of z-scores of waist circumference, blood pressure, lipids and insulin resistance. Linear mixed-effects models were used to study the association between social disadvantages and MetS risk. Models were adjusted for sex, age, well-being and lifestyle (fruit and vegetables consumption, physical activity, screen time).
Results: At both time points, children from low-income families (0.20 [0.03–0.37]); (β estimate and 99% confidence interval), children from non-traditional families (0.14 [0.02–0.26]), children whose parents were unemployed (0.31 [0.05–0.57]) and children who accumulated >3 disadvantages (0.21 [0.04–0.37]) showed a higher MetS score compared to non-socioeconomically disadvantaged groups.
Conclusion: Children from socioeconomically disadvantaged families are at high metabolic risk independently of diet, physical activity, sedentary behaviours and well-being. Interventions focusing on these socioeconomically disadvantaged groups should be developed to tackle health disparities.
Objective: Socioeconomic disadvantages during childhood are hypothesised to have negative implications for health. We aimed to investigate the association between socioeconomic disadvantages and children's total metabolic syndrome (MetS) score at baseline and follow-up and the extent to which socioeconomic disadvantages over time and the accumulation of these socioeconomic disadvantages can affect children's MetS risk.
Methods: The two-year longitudinal IDEFICS study included 2401 European children (aged 2.0–9.9) with complete information of the 16,229 participating at baseline. Sociodemographic variables, psychosocial factors and lifestyle were proxy-reported via questionnaires. Socioeconomically disadvantaged groups included children from families with low income, low education, migrant origin, unemployed parents, parents who lacked a social network, and from non-traditional families. MetS risk score was calculated as the sum of z-scores of waist circumference, blood pressure, lipids and insulin resistance. Linear mixed-effects models were used to study the association between social disadvantages and MetS risk. Models were adjusted for sex, age, well-being and lifestyle (fruit and vegetables consumption, physical activity, screen time).
Results: At both time points, children from low-income families (0.20 [0.03–0.37]); (β estimate and 99% confidence interval), children from non-traditional families (0.14 [0.02–0.26]), children whose parents were unemployed (0.31 [0.05–0.57]) and children who accumulated >3 disadvantages (0.21 [0.04–0.37]) showed a higher MetS score compared to non-socioeconomically disadvantaged groups.
Conclusion: Children from socioeconomically disadvantaged families are at high metabolic risk independently of diet, physical activity, sedentary behaviours and well-being. Interventions focusing on these socioeconomically disadvantaged groups should be developed to tackle health disparities.
LanguageEnglish
JournalInternational Journal of Cardiology
Volume272
Pages333-340
Number of pages8
ISSN0167-5273
DOIs
StatePublished - Dec 2018

Bibliographical note

Published online: 10. July 2018

Keywords

  • Metabolic syndrome
  • Socioeconomic disadvantages
  • Social vulnerabilities
  • Obesity
  • Children
  • Migrants
  • Lack of social support
  • Family structure
  • Socioeconomic status
  • Modifiable lifestyle indicators

Cite this

Iguacel, Isabel ; Michels, Nathalie ; Ahrens, Wolfgang ; Bammann, Karin ; Eiben, Gabriele ; Fernandez-Alvira, Juan M. ; Mårild, Staffan ; Molnar, Dénes ; Reisch, Lucia A. ; Russo, Paola ; Tornaritis, Michael ; Veidebaum, Toomas ; Wolters, Maike ; Moreno, Luis Alberto ; Börnhorst, Claudia. / Prospective Associations Between Socioeconomically Disadvantaged Groups and Metabolic Syndrome Risk in European Children : Results from the IDEFICS Study. In: International Journal of Cardiology. 2018 ; Vol. 272. pp. 333-340
@article{dc0270b0df54441482caf316f8008343,
title = "Prospective Associations Between Socioeconomically Disadvantaged Groups and Metabolic Syndrome Risk in European Children: Results from the IDEFICS Study",
abstract = "Objective: Socioeconomic disadvantages during childhood are hypothesised to have negative implications for health. We aimed to investigate the association between socioeconomic disadvantages and children's total metabolic syndrome (MetS) score at baseline and follow-up and the extent to which socioeconomic disadvantages over time and the accumulation of these socioeconomic disadvantages can affect children's MetS risk. Methods: The two-year longitudinal IDEFICS study included 2401 European children (aged 2.0–9.9) with complete information of the 16,229 participating at baseline. Sociodemographic variables, psychosocial factors and lifestyle were proxy-reported via questionnaires. Socioeconomically disadvantaged groups included children from families with low income, low education, migrant origin, unemployed parents, parents who lacked a social network, and from non-traditional families. MetS risk score was calculated as the sum of z-scores of waist circumference, blood pressure, lipids and insulin resistance. Linear mixed-effects models were used to study the association between social disadvantages and MetS risk. Models were adjusted for sex, age, well-being and lifestyle (fruit and vegetables consumption, physical activity, screen time). Results: At both time points, children from low-income families (0.20 [0.03–0.37]); (β estimate and 99{\%} confidence interval), children from non-traditional families (0.14 [0.02–0.26]), children whose parents were unemployed (0.31 [0.05–0.57]) and children who accumulated >3 disadvantages (0.21 [0.04–0.37]) showed a higher MetS score compared to non-socioeconomically disadvantaged groups. Conclusion: Children from socioeconomically disadvantaged families are at high metabolic risk independently of diet, physical activity, sedentary behaviours and well-being. Interventions focusing on these socioeconomically disadvantaged groups should be developed to tackle health disparities.",
keywords = "Metabolic syndrome, Socioeconomic disadvantages, Social vulnerabilities, Obesity, Children, Migrants, Lack of social support, Family structure, Socioeconomic status, Modifiable lifestyle indicators, Metabolic syndrome, Socioeconomic disadvantages, Social vulnerabilities, Obesity, Children, Migrants, Lack of social support, Family structure, Socioeconomic status, Modifiable lifestyle indicators",
author = "Isabel Iguacel and Nathalie Michels and Wolfgang Ahrens and Karin Bammann and Gabriele Eiben and Fernandez-Alvira, {Juan M.} and Staffan M{\aa}rild and D{\'e}nes Molnar and Reisch, {Lucia A.} and Paola Russo and Michael Tornaritis and Toomas Veidebaum and Maike Wolters and Moreno, {Luis Alberto} and Claudia B{\"o}rnhorst",
note = "Published online: 10. July 2018",
year = "2018",
month = "12",
doi = "10.1016/j.ijcard.2018.07.053",
language = "English",
volume = "272",
pages = "333--340",
journal = "International Journal of Cardiology",
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publisher = "Elsevier",

}

Iguacel, I, Michels, N, Ahrens, W, Bammann, K, Eiben, G, Fernandez-Alvira, JM, Mårild, S, Molnar, D, Reisch, LA, Russo, P, Tornaritis, M, Veidebaum, T, Wolters, M, Moreno, LA & Börnhorst, C 2018, 'Prospective Associations Between Socioeconomically Disadvantaged Groups and Metabolic Syndrome Risk in European Children: Results from the IDEFICS Study' International Journal of Cardiology, vol. 272, pp. 333-340. DOI: 10.1016/j.ijcard.2018.07.053

Prospective Associations Between Socioeconomically Disadvantaged Groups and Metabolic Syndrome Risk in European Children : Results from the IDEFICS Study. / Iguacel, Isabel; Michels, Nathalie; Ahrens, Wolfgang; Bammann, Karin; Eiben, Gabriele; Fernandez-Alvira, Juan M.; Mårild, Staffan; Molnar, Dénes; Reisch, Lucia A.; Russo, Paola; Tornaritis, Michael; Veidebaum, Toomas; Wolters, Maike; Moreno, Luis Alberto; Börnhorst, Claudia.

In: International Journal of Cardiology, Vol. 272, 12.2018, p. 333-340.

Research output: Contribution to journalJournal articleResearchpeer-review

TY - JOUR

T1 - Prospective Associations Between Socioeconomically Disadvantaged Groups and Metabolic Syndrome Risk in European Children

T2 - International Journal of Cardiology

AU - Iguacel,Isabel

AU - Michels,Nathalie

AU - Ahrens,Wolfgang

AU - Bammann,Karin

AU - Eiben,Gabriele

AU - Fernandez-Alvira,Juan M.

AU - Mårild,Staffan

AU - Molnar,Dénes

AU - Reisch,Lucia A.

AU - Russo,Paola

AU - Tornaritis,Michael

AU - Veidebaum,Toomas

AU - Wolters,Maike

AU - Moreno,Luis Alberto

AU - Börnhorst,Claudia

N1 - Published online: 10. July 2018

PY - 2018/12

Y1 - 2018/12

N2 - Objective: Socioeconomic disadvantages during childhood are hypothesised to have negative implications for health. We aimed to investigate the association between socioeconomic disadvantages and children's total metabolic syndrome (MetS) score at baseline and follow-up and the extent to which socioeconomic disadvantages over time and the accumulation of these socioeconomic disadvantages can affect children's MetS risk. Methods: The two-year longitudinal IDEFICS study included 2401 European children (aged 2.0–9.9) with complete information of the 16,229 participating at baseline. Sociodemographic variables, psychosocial factors and lifestyle were proxy-reported via questionnaires. Socioeconomically disadvantaged groups included children from families with low income, low education, migrant origin, unemployed parents, parents who lacked a social network, and from non-traditional families. MetS risk score was calculated as the sum of z-scores of waist circumference, blood pressure, lipids and insulin resistance. Linear mixed-effects models were used to study the association between social disadvantages and MetS risk. Models were adjusted for sex, age, well-being and lifestyle (fruit and vegetables consumption, physical activity, screen time). Results: At both time points, children from low-income families (0.20 [0.03–0.37]); (β estimate and 99% confidence interval), children from non-traditional families (0.14 [0.02–0.26]), children whose parents were unemployed (0.31 [0.05–0.57]) and children who accumulated >3 disadvantages (0.21 [0.04–0.37]) showed a higher MetS score compared to non-socioeconomically disadvantaged groups. Conclusion: Children from socioeconomically disadvantaged families are at high metabolic risk independently of diet, physical activity, sedentary behaviours and well-being. Interventions focusing on these socioeconomically disadvantaged groups should be developed to tackle health disparities.

AB - Objective: Socioeconomic disadvantages during childhood are hypothesised to have negative implications for health. We aimed to investigate the association between socioeconomic disadvantages and children's total metabolic syndrome (MetS) score at baseline and follow-up and the extent to which socioeconomic disadvantages over time and the accumulation of these socioeconomic disadvantages can affect children's MetS risk. Methods: The two-year longitudinal IDEFICS study included 2401 European children (aged 2.0–9.9) with complete information of the 16,229 participating at baseline. Sociodemographic variables, psychosocial factors and lifestyle were proxy-reported via questionnaires. Socioeconomically disadvantaged groups included children from families with low income, low education, migrant origin, unemployed parents, parents who lacked a social network, and from non-traditional families. MetS risk score was calculated as the sum of z-scores of waist circumference, blood pressure, lipids and insulin resistance. Linear mixed-effects models were used to study the association between social disadvantages and MetS risk. Models were adjusted for sex, age, well-being and lifestyle (fruit and vegetables consumption, physical activity, screen time). Results: At both time points, children from low-income families (0.20 [0.03–0.37]); (β estimate and 99% confidence interval), children from non-traditional families (0.14 [0.02–0.26]), children whose parents were unemployed (0.31 [0.05–0.57]) and children who accumulated >3 disadvantages (0.21 [0.04–0.37]) showed a higher MetS score compared to non-socioeconomically disadvantaged groups. Conclusion: Children from socioeconomically disadvantaged families are at high metabolic risk independently of diet, physical activity, sedentary behaviours and well-being. Interventions focusing on these socioeconomically disadvantaged groups should be developed to tackle health disparities.

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KW - Family structure

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KW - Modifiable lifestyle indicators

KW - Metabolic syndrome

KW - Socioeconomic disadvantages

KW - Social vulnerabilities

KW - Obesity

KW - Children

KW - Migrants

KW - Lack of social support

KW - Family structure

KW - Socioeconomic status

KW - Modifiable lifestyle indicators

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