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

Author:

Siopis George12,Moschonis George1ORCID,Reppas Kyriakos3,Iotova Violeta4ORCID,Bazdarska Yuliya4,Chakurova Nevena4,Rurik Imre56ORCID,Radó Anette Si67,Cardon Greet8ORCID,Craemer Marieke De910ORCID,Wikström Katja11,Valve Päivi11,Moreno Luis A.1213ORCID,De Miguel-Etayo Pilar1213ORCID,Makrilakis Konstantinos14ORCID,Liatis Stavros14,Manios Yannis315ORCID,

Affiliation:

1. Department of Food, Nutrition and Dietetics, School of Allied Health, Human Services and Sport, La Trobe University, Melbourne, VIC 3086, Australia

2. Institute for Physical Activity and Nutrition, Deakin University, Geelong, VIC 3220, Australia

3. Department of Nutrition and Dietetics, School of Health Science and Education, Harokopio University, 17671 Athens, Greece

4. Department of Endocrinology, Medical University Sofia, 1431 Sofia, Bulgaria

5. Department of Family Medicine, Semmelweis University, 1085 Budapest, Hungary

6. Hungarian Society of Nutrition, 1088 Budapest, Hungary

7. Department of Nursing and Midwifes, Faculty of Health Sciences, University of Debrecen, 4400 Debrecen, Hungary

8. Department of Movement and Sports Sciences, Faculty of Medicine and Health Sciences, Ghent University, 9000 Gent, Belgium

9. Department of Rehabilitation Sciences, 9000 Ghent, Belgium

10. Research Foundation Flanders, Ghent University, 9000 Ghent, Belgium

11. The Department of Public Health and Welfare, Finnish Institute for Health and Welfare, 00271 Helsinki, Finland

12. Growth, Exercise, Nutrition and Development (GENUD) Research Group, Instituto Agroalimentario de Aragón (IA2), Universidad de Zaragoza, Instituto de Investigación Sanitaria de Aragón (IIS Aragón), 50009 Zaragoza, Spain

13. Centro de Investigación Biomédica en Red de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, 28029 Madrid, Spain

14. First Department of Propaedeutic Medicine, Laiko General Hospital, Athens Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece

15. Institute of Agri-Food and Life Sciences, Hellenic Mediterranean University Research Centre, 71410 Heraklion, Greece

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.

Funder

European Union’s Horizon 2020 Research and Innovation Programme

Publisher

MDPI AG

Subject

Food Science,Nutrition and Dietetics

Reference57 articles.

1. World Health Organisation (2022, January 07). Obesity and Overweight. Available online: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight.

2. World Health Organization (2022, January 07). The Global Health Observatory. Noncommunicable Diseases. Available online: https://www.who.int/data/gho/data/themes/noncommunicable-diseases.

3. Centers for Disease and Control Prevention (2022, January 07). Morbidity and Mortality Weekly Report. Body Mass Index and Risk for COVID-19–Related Hospitalization, Intensive Care Unit Admission, Invasive Mechanical Ventilation, and Death—United States, March–December 2020, Available online: https://www.cdc.gov/mmwr/volumes/70/wr/mm7010e4.htm?s_cid=mm7010e4_x.

4. World OBESITY (2022, January 07). COVID-19 and Obesity: The 2021 Atlas. The Cost of not Addressing the Global Obesity Crisis. Available online: https://www.worldobesityday.org/assets/downloads/COVID-19-and-Obesity-The-2021-Atlas.pdf.

5. Early life risk factors for obesity in childhood: Cohort study;Reilly;BMJ,2005

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3