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The emerging prevalence of obesity within families in Europe and its associations with family socio-demographic characteristics and lifestyle factors : a cross-sectional analysis of baseline data from the Feel4Diabetes study

(2023) NUTRIENTS. 15(5).
Author
Organization
Project
  • Feel4Diabetes (Developing and implementing a community-based intervention to create a more supportive social and physical environment for lifestyle changes to prevent diabetes in vulnerable families across Europe)
Abstract
The Feel4Diabetes study is a type 2 diabetes prevention program that recruited 12,193 children [age: 8.20 (+/- 1.01) years] and their parents from six European countries. The current work used pre-intervention data collected from 9576 children-parents pairs, to develop a novel family obesity variable and to examine its associations with family sociodemographic and lifestyle characteristics. Family obesity, defined as the presence of obesity in at least two family members, had a prevalence of 6.6%. Countries under austerity measures (Greece and Spain) displayed higher prevalence (7.6%), compared to low-income (Bulgaria and Hungary: 7%) and high-income countries (Belgium and Finland: 4.5%). Family obesity odds were significantly lower when mothers (OR: 0.42 [95% CI: 0.32, 0.55]) or fathers (0.72 [95% CI: 0.57, 0.92]) had higher education, mothers were fully (0.67 [95% CI: 0.56, 0.81]) or partially employed (0.60 [95% CI: 0.45, 0.81]), families consumed breakfast more often (0.94 [95% CI: 0.91 0.96]), more portions of vegetables (0.90 [95% CI: 0.86, 0.95]), fruits (0.96 [95% CI: 0.92, 0.99]) and wholegrain cereals (0.72 [95% CI: 0.62, 0.83]), and for more physically active families (0.96 [95% CI: 0.93, 0.98]). Family obesity odds increased when mothers were older (1.50 [95% CI: 1.18, 1.91]), with the consumption of savoury snacks (1.11 [95% CI: 1.05, 1.17]), and increased screen time (1.05 [95% CI: 1.01, 1.09]). Clinicians should familiarise themselves with the risk factors for family obesity and choose interventions that target the whole family. Future research should explore the causal basis of the reported associations to facilitate devising tailored family-based interventions for obesity prevention.
Keywords
weight, BMI, community intervention, lifestyle intervention, overweight prevention, school, SES, socio-economic risk factors, T2D, T2DM

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Citation

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MLA
Siopis, George, et al. “The Emerging Prevalence of Obesity within Families in Europe and Its Associations with Family Socio-Demographic Characteristics and Lifestyle Factors : A Cross-Sectional Analysis of Baseline Data from the Feel4Diabetes Study.” NUTRIENTS, vol. 15, no. 5, 2023, doi:10.3390/nu15051283.
APA
Siopis, G., Moschinos, G., Reppas, K., Iotova, V., Bazdarska, Y., Chakurova, N., … Manios, Y. (2023). The emerging prevalence of obesity within families in Europe and its associations with family socio-demographic characteristics and lifestyle factors : a cross-sectional analysis of baseline data from the Feel4Diabetes study. NUTRIENTS, 15(5). https://doi.org/10.3390/nu15051283
Chicago author-date
Siopis, George, George Moschinos, Kyriakos Reppas, Violeta Iotova, Yuliya Bazdarska, Nevena Chakurova, Imre Rurik, et al. 2023. “The Emerging Prevalence of Obesity within Families in Europe and Its Associations with Family Socio-Demographic Characteristics and Lifestyle Factors : A Cross-Sectional Analysis of Baseline Data from the Feel4Diabetes Study.” NUTRIENTS 15 (5). https://doi.org/10.3390/nu15051283.
Chicago author-date (all authors)
Siopis, George, George Moschinos, Kyriakos Reppas, Violeta Iotova, Yuliya Bazdarska, Nevena Chakurova, Imre Rurik, Anette Si Radó, Greet Cardon, Marieke De Craemer, Katja Wikström, Päivi Valve, Luis Moreno, Pilar De Miguel-Etayo, Konstantinos Makrilakis, Stavros Liatis, and Yannis Manios. 2023. “The Emerging Prevalence of Obesity within Families in Europe and Its Associations with Family Socio-Demographic Characteristics and Lifestyle Factors : A Cross-Sectional Analysis of Baseline Data from the Feel4Diabetes Study.” NUTRIENTS 15 (5). doi:10.3390/nu15051283.
Vancouver
1.
Siopis G, Moschinos G, Reppas K, Iotova V, Bazdarska Y, Chakurova N, et al. The emerging prevalence of obesity within families in Europe and its associations with family socio-demographic characteristics and lifestyle factors : a cross-sectional analysis of baseline data from the Feel4Diabetes study. NUTRIENTS. 2023;15(5).
IEEE
[1]
G. Siopis et al., “The emerging prevalence of obesity within families in Europe and its associations with family socio-demographic characteristics and lifestyle factors : a cross-sectional analysis of baseline data from the Feel4Diabetes study,” NUTRIENTS, vol. 15, no. 5, 2023.
@article{01GVG3FY3G85GFFDVPZAQNKFBB,
  abstract     = {{The Feel4Diabetes study is a type 2 diabetes prevention program that recruited 12,193 children [age: 8.20 (+/- 1.01) years] and their parents from six European countries. The current work used pre-intervention data collected from 9576 children-parents pairs, to develop a novel family obesity variable and to examine its associations with family sociodemographic and lifestyle characteristics. Family obesity, defined as the presence of obesity in at least two family members, had a prevalence of 6.6%. Countries under austerity measures (Greece and Spain) displayed higher prevalence (7.6%), compared to low-income (Bulgaria and Hungary: 7%) and high-income countries (Belgium and Finland: 4.5%). Family obesity odds were significantly lower when mothers (OR: 0.42 [95% CI: 0.32, 0.55]) or fathers (0.72 [95% CI: 0.57, 0.92]) had higher education, mothers were fully (0.67 [95% CI: 0.56, 0.81]) or partially employed (0.60 [95% CI: 0.45, 0.81]), families consumed breakfast more often (0.94 [95% CI: 0.91 0.96]), more portions of vegetables (0.90 [95% CI: 0.86, 0.95]), fruits (0.96 [95% CI: 0.92, 0.99]) and wholegrain cereals (0.72 [95% CI: 0.62, 0.83]), and for more physically active families (0.96 [95% CI: 0.93, 0.98]). Family obesity odds increased when mothers were older (1.50 [95% CI: 1.18, 1.91]), with the consumption of savoury snacks (1.11 [95% CI: 1.05, 1.17]), and increased screen time (1.05 [95% CI: 1.01, 1.09]). Clinicians should familiarise themselves with the risk factors for family obesity and choose interventions that target the whole family. Future research should explore the causal basis of the reported associations to facilitate devising tailored family-based interventions for obesity prevention.}},
  articleno    = {{1283}},
  author       = {{Siopis, George and Moschinos, George and Reppas, Kyriakos and Iotova, Violeta and Bazdarska, Yuliya and Chakurova, Nevena and Rurik, Imre and Radó, Anette Si and Cardon, Greet and De Craemer, Marieke and Wikström, Katja and Valve, Päivi and Moreno, Luis and De Miguel-Etayo, Pilar and Makrilakis, Konstantinos and Liatis, Stavros and Manios, Yannis}},
  issn         = {{2072-6643}},
  journal      = {{NUTRIENTS}},
  keywords     = {{weight,BMI,community intervention,lifestyle intervention,overweight prevention,school,SES,socio-economic risk factors,T2D,T2DM}},
  language     = {{eng}},
  number       = {{5}},
  pages        = {{20}},
  title        = {{The emerging prevalence of obesity within families in Europe and its associations with family socio-demographic characteristics and lifestyle factors : a cross-sectional analysis of baseline data from the Feel4Diabetes study}},
  url          = {{http://doi.org/10.3390/nu15051283}},
  volume       = {{15}},
  year         = {{2023}},
}

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