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Metabolic Syndrome in Obese Children-Clinical Prevalence and Risk Factors.

ABSTRACT: The prevalence of childhood obesity is increasing worldwide. Some obese children can go on to develop metabolic syndrome (MetS), but exactly who among them remains to be determined. The aim of this study was to indicate predisposing factors for metabolic syndrome, especially those that can be modified. The study comprised 591 obese children aged 10-12 years. They were all Caucasian residents of Gda?sk, Poland, with similar demographic backgrounds. Clinical examination, anthropometry, biometric impedance analysis, blood tests (including oral glucose tolerance tests (OGTT) and insulinemia), and dietary and physical activity evaluation were conducted. The results of our study show that the risk factors for MetS or any of its components include male sex, parental (especially paternal) obesity, low body mass at birth, as well as omitting breakfast or dinner. There are few risk factors for metabolic syndrome both in obese adults and children. Some of these predictors can be modified, especially those in relation to lifestyle. Identifying and then influencing these factors may help to reduce the development of metabolic syndrome and consequently improve health and quality of life.

SUBMITTER: Jankowska A

PROVIDER: S-EPMC7908375 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature

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Metabolic Syndrome in Obese Children-Clinical Prevalence and Risk Factors.

Jankowska Agnieszka A Brzeziński Michał M Romanowicz-Sołtyszewska Anna A Szlagatys Sidorkiewicz Agnieszka A

International journal of environmental research and public health 20210125 3

The prevalence of childhood obesity is increasing worldwide. Some obese children can go on to develop metabolic syndrome (MetS), but exactly who among them remains to be determined. The aim of this study was to indicate predisposing factors for metabolic syndrome, especially those that can be modified. The study comprised 591 obese children aged 10-12 years. They were all Caucasian residents of Gdańsk, Poland, with similar demographic backgrounds. Clinical examination, anthropometry, biometric i ...[more]

PMID: 33504076

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Project description:OBJECTIVES: To determine the prevalence of metabolic syndrome and to identify predictors for the same, specific to an underdeveloped urban locale of Eastern India. MATERIALS AND METHODS: STUDY DESIGN: Population-based cross-sectional study, with multistage random sampling technique. SETTING: Urban city-dwellers in Orissa one of the poorest states of Eastern India bordering a prosperous state of Andhra Pradesh of Southern India. PARTICIPANTS: 1178 adults of age 20-80 years randomly selected from 37 electoral wards of the urban city. Definition of Metabolic Syndrome: We followed a unified definition of the metabolic syndrome by joint interim statement of five major scientific organizations - the International Diabetes Federation, the National Heart, Lung, and Blood Institute, the American Heart Association, the World Heart Federation, the International Atherosclerosis Society, and the International Association of the Study of Obesity. Individuals who meet at least three of five clinical criteria of abdominal obesity, hypertriglyceredimia, low HDL, hypertension, and hyperglycemia are diagnosed as having the condition; presence of none of these criteria is mandatory. Explicit cut points are defined for all criteria, except elevated waist circumference, which must rely on population and country-specific definitions. MAIN OUTCOME MEASURE: Prevalence and significant predictors of metabolic syndrome. STATISTICAL ANALYSIS: Both descriptive and multivariable logistic regression analyses. RESULTS: Age-standardized prevalence rates of metabolic syndrome were 33.5% overall, 24.9 % in males and 42.3% in females. Older age, female gender, general obesity, inadequate fruit intake, hypercholesterolemia, and middle-to-high socioeconomic status significantly contributed to increased risk of metabolic syndrome. CONCLUSION: Metabolic syndrome is a significant public health problem even in one of the poorest states of India that needs to be tackled with proven strategies.

Dataset Information

Metabolic Syndrome in Obese Children-Clinical Prevalence and Risk Factors.

Publications

Metabolic Syndrome in Obese Children-Clinical Prevalence and Risk Factors.

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