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1.
J Clin Endocrinol Metab ; 108(12): e1731-e1742, 2023 Nov 17.
Artigo em Inglês | MEDLINE | ID: mdl-37261399

RESUMO

CONTEXT: Vitamin D status has previously been associated with cardiometabolic risk markers in children and adolescents. In particular, it has been suggested that children with obesity are more prone to vitamin D deficiency and unfavorable metabolic outcomes compared with healthy-weight children. OBJECTIVE: To conduct a longitudinal study assessing this association in children and stratify by body mass index (BMI) category. METHODS: Children from the pan-European IDEFICS/I.Family cohort with at least one measurement of serum 25-hydroxyvitamin D [25(OH)D] at cohort entry or follow-up (n = 2171) were included in this study. Linear mixed-effect models were used to assess the association between serum 25(OH)D as an independent variable and z-scores of cardiometabolic risk markers (waist circumference, systolic [SBP] and diastolic blood pressure [DBP], high- [HDL] and low-density lipoprotein, non-HDL, triglycerides [TRG], apolipoprotein A1 [ApoA1] and ApoB, fasting glucose [FG], homeostatic model assessment for insulin resistance [HOMA-IR], and metabolic syndrome score) as dependent variables. RESULTS: After adjustment for age, sex, study region, smoking and alcohol status, sports club membership, screen time, BMI, parental education, and month of blood collection, 25(OH)D levels were inversely associated with SBP, DBP, FG, HOMA-IR, and TRG. The HOMA-IR z-score decreased by 0.07 units per 5 ng/mL increase in 25(OH)D. The 25(OH)D level was consistently associated with HOMA-IR irrespective of sex or BMI category. CONCLUSION: Low serum 25(OH)D concentrations are associated with unfavorable levels of cardiometabolic markers in children and adolescents. Interventions to improve vitamin D levels in children with a poor status early in life may help to reduce cardiometabolic risk.


Assuntos
Doenças Cardiovasculares , Resistência à Insulina , Síndrome Metabólica , Deficiência de Vitamina D , Humanos , Criança , Adolescente , Estudos Longitudinais , Doenças Cardiovasculares/epidemiologia , Doenças Cardiovasculares/etiologia , Vitamina D , Vitaminas , Síndrome Metabólica/epidemiologia , Síndrome Metabólica/complicações , Deficiência de Vitamina D/complicações , Deficiência de Vitamina D/epidemiologia , Triglicerídeos , Índice de Massa Corporal
2.
Eur Child Adolesc Psychiatry ; 26(8): 957-967, 2017 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-28258320

RESUMO

The aim of this study is to investigate whether in addition to established early risk factors other, less studied pre-, peri-, and postnatal influences, like gestational hypertension or neonatal respiratory disorders and infections, may increase a child's risk of developing attention-deficit/hyperactivity disorders (ADHD). In the IDEFICS study more than 18,000 children, aged 2-11.9 years, underwent extensive medical examinations supplemented by parental questionnaires on pregnancy and early childhood. The present analyses are restricted to children whose parents also completed a supplementary medical questionnaire (n = 15,577), including the question whether or not the child was ever diagnosed with ADHD. Multilevel multivariable logistic regression was used to assess the association between early life influences and the risk of ADHD. Our study confirms the well-known association between maternal smoking during pregnancy and a child's risk of ADHD. In addition, our study showed that children born to mothers younger than 20 years old were 3-4 times more likely to develop ADHD as compared to children born to mothers aged 25 years and older. Moreover, we found that children whose mothers suffered from pregnancy-induced hypertension had an approximately twofold risk of ADHD (OR 1.95; 95% CI 1.09-3.48). This also holds true for infections during the first 4 weeks after birth (OR 2.06; 95% CI 1.05-4.04). In addition, although not statistically significant, we observed a noticeable elevated risk estimate for neonatal respiratory disorders (OR 1.76; 95% CI 0.91-3.41). Hence, we recommend that these less often studied pre-, peri, and postnatal influences should get more attention when considering early indicators or predictors for ADHD in children. However, special study designs such as genetically sensitive designs may be needed to derive causal conclusions.


Assuntos
Transtorno do Deficit de Atenção com Hiperatividade/etiologia , Hipertensão Induzida pela Gravidez/diagnóstico , Efeitos Tardios da Exposição Pré-Natal/diagnóstico , Adolescente , Adulto , Criança , Pré-Escolar , Estudos de Coortes , Feminino , Humanos , Masculino , Gravidez , Fatores de Risco , Resultado do Tratamento , Adulto Jovem
3.
Int J Behav Nutr Phys Act ; 13: 23, 2016 Feb 16.
Artigo em Inglês | MEDLINE | ID: mdl-26879850

RESUMO

BACKGROUND: Evidence for the effect of dietary energy on BMI z-scores in young children is limited. We aim to investigate cross-sectional and longitudinal effects of daily energy intake (EI) on BMI z-scores of European boys and girls considering growth-related height dependencies of EI using residual EI. METHODS: To investigate cross-sectional and longitudinal effects of daily energy intake (EI) on BMI z-scores of European boys and girls considering growth-related height dependencies of EI using residual EI. METHODS: Subjects were children aged 2- < 10 y old (N = 2753, 48.2% girls) participating in the IDEFICS (Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS) baseline and follow-up examination. Usual EI (kcal/day) was calculated based on the National Cancer Institute-method excluding subjects with implausible reported EI. Effect of age, height and sex-adjusted residuals of EI on BMI z-score was investigated stratified by baseline age -group (2- < 4 y, 4- < 6 y, 6- < 8 y and 8- < 10 y) cross-sectionally using linear regression models adjusted for relevant confounders (crude model: age, sex, country; fully adjusted model: plus parental ISCED level, parental BMI, screen time; subgroup analysis: plus objectively measured physical activity). Longitudinal associations were estimated between changes in (Δ) residual EI per year and ΔBMI z-score per year with adjustments analogously to the cross-sectional models but with additional adjustment for residual EI at baseline. RESULTS: Cross-sectionally, positive associations were observed between residual EI and BMI z-score for the full study sample, for boys and in older (≥6 years) but not in younger children in the crude and fully adjusted model. Longitudinally, small positive associations were observed between Δresidual EI per y on ΔBMI z-score per y for the full study sample and in 4- < 6 y olds in the crude and fully adjusted model. CONCLUSION: In conclusion, EI above the average intakes for a certain sex, age and height are weakly associated with BMI z-scores in European children. Residual EI may be considered as a useful exposure measure in children as it accounts for growth-related changes in usual EI during childhood.


Assuntos
Índice de Massa Corporal , Ingestão de Energia/fisiologia , Inquéritos Epidemiológicos/estatística & dados numéricos , Criança , Pré-Escolar , Estudos de Coortes , Estudos Transversais , Dieta/estatística & dados numéricos , Europa (Continente) , Exercício Físico , Feminino , Humanos , Estudos Longitudinais , Masculino , Estudos Prospectivos , Inquéritos e Questionários
4.
BMC Med ; 11: 172, 2013 Jul 30.
Artigo em Inglês | MEDLINE | ID: mdl-23899208

RESUMO

BACKGROUND: The relevance of physical activity (PA) for combating cardiovascular disease (CVD) risk in children has been highlighted, but to date there has been no large-scale study analyzing that association in children aged ≤9 years of age. This study sought to evaluate the associations between objectively-measured PA and clustered CVD risk factors in a large sample of European children, and to provide evidence for gender-specific recommendations of PA. METHODS: Cross-sectional data from a longitudinal study in 16,224 children aged 2 to 9 were collected. Of these, 3,120 (1,016 between 2 to 6 years, 2,104 between 6 to 9 years) had sufficient data for inclusion in the current analyses. Two different age-specific and gender-specific clustered CVD risk scores associated with PA were determined. First, a CVD risk factor (CRF) continuous score was computed using the following variables: systolic blood pressure (SBP), total triglycerides (TG), total cholesterol (TC)/high-density lipoprotein cholesterol (HDL-c) ratio, homeostasis model assessment of insulin resistance (HOMA-IR), and sum of two skinfolds (score CRFs). Secondly, another CVD risk score was obtained for older children containing the score CRFs + the cardiorespiratory fitness variable (termed score CRFs + fit). Data used in the current analysis were derived from the IDEFICS ('Identification and prevention of Dietary- and lifestyle-induced health EFfects In Children and infantS') study. RESULTS: In boys <6 years, the odds ratios (OR) for CVD risk were elevated in the least active quintile of PA (OR: 2.58) compared with the most active quintile as well as the second quintile for vigorous PA (OR: 2.91). Compared with the most active quintile, older children in the first, second and third quintiles had OR for CVD risk score CRFs + fit ranging from OR 2.69 to 5.40 in boys, and from OR 2.85 to 7.05 in girls. CONCLUSIONS: PA is important to protect against clustering of CVD risk factors in young children, being more consistent in those older than 6 years. Healthcare professionals should recommend around 60 and 85 min/day of moderate-to-vigorous PA, including 20 min/day of vigorous PA.


Assuntos
Doenças Cardiovasculares/epidemiologia , Doenças Cardiovasculares/prevenção & controle , Inquéritos sobre Dietas/métodos , Atividade Motora/fisiologia , Comportamento de Redução do Risco , Fatores Etários , Doenças Cardiovasculares/diagnóstico , Criança , Pré-Escolar , Análise por Conglomerados , Estudos Transversais , Feminino , Humanos , Estudos Longitudinais , Masculino , Fatores de Risco
5.
Public Health Nutr ; 16(3): 487-98, 2013 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-22687743

RESUMO

OBJECTIVE: To assess the relationship between parental education level and the consumption frequency of obesity-related foods in European children. DESIGN: The analysis was based on data from the cross-sectional baseline survey of a prospective cohort study. The effects of parental education on food consumption were explored using analysis of covariance and logistic regression. SETTING: Primary schools and pre-schools of selected regions in Italy, Estonia, Cyprus, Belgium, Sweden, Hungary, Germany and Spain. SUBJECTS: Participants (n 14,426) of the IDEFICS baseline cohort study aged 2 to 9 years. RESULTS: Parental education level affected the intake of obesity-related foods in children. Children in the low and medium parental education level groups had lower odds of more frequently eating low-sugar and low-fat foods (vegetables, fruits, pasta/noodles/rice and wholemeal bread) and higher odds of more frequently eating high-sugar and high-fat foods (fried potatoes, fruits with sugar and nuts, snacks/desserts and sugared beverages; P < 0.001). The largest odds ratio differences were found in the low category (reference category: high) for vegetables (OR = 0.56; 95 % CI 0.47, 0.65), fruits (OR = 0.56; 95% CI 0.48, 0.65), fruits with sugar and nuts (OR = 2.23; 95% CI 1.92, 2.59) and sugared beverages (OR = 2.01; 95% CI 1.77, 2.37). CONCLUSIONS: Low parental education level was associated with intakes of sugar-rich and fatty foods among children, while high parental education level was associated with intakes of low-sugar and low-fat foods. These findings should be taken into account in public health interventions, with more targeted policies aiming at an improvement of children's diet.


Assuntos
Dieta/normas , Escolaridade , Comportamento Alimentar , Comportamentos Relacionados com a Saúde , Obesidade/etiologia , Pais , Análise de Variância , Criança , Pré-Escolar , Estudos Transversais , Europa (Continente) , Feminino , Humanos , Modelos Logísticos , Masculino , Razão de Chances , Estudos Prospectivos , Fatores de Risco
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