Familial aggregation and heritability of markers of metabolic risk, physical activity, and physical fitness in nuclear families from Muzambinho (Minas Gerais, Brazil)

Barbosa, José Elpídio; Basso, Luciano; Bartholomeu, Teresa; Rezende, Januária Andréa Souza; Oliveira, Jorge Henrique Caldeira de; Prista, António; Tani, Go; Maia, José; Forjaz, C. L. M.

doi:10.20945/2359-3997000000137

Cited by 3 publications

(4 citation statements)

References 30 publications

(34 reference statements)

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“…Розрахований внесок спадковості в дисперсію показника ІМТ підлітків становить 41,4% (h 2 =0,41±0,09; p<0,001), що є досить високим показником і зіставним з показниками інших популяцій [7]. Внесок спадковості в дисперсію показника рухової активності в нашому дослідженні становить 23,1% (h 2 =0,23±0,07; p<0,001), що відповідає показнику, визначеному в дослідженні [6], автори якого визначили цей внесок на рівні 22% також за допомогою аналізу S.A.G.E.…”

Section: т а б л и ц яunclassified

“…Наслідування фізичної бездіяльності коливається від 22 до 60% у різних популяціях [5]. Поряд з цим внесок спадкових чинників у дисперсію індексу маси тіла (ІМТ) також значно коливається і за даними різних досліджень становить від 30 до 80% [6][7]. Варіативність впливу спадковості при вивченні ІМТ та РА демонструє значущість проведення досліджень у кожній окремій популяції з визначенням точок впливу на здоров'я населення.…”

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Heritability of body mass index and physical activity in Ukrainian adolescents

et al. 2022

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The article analyzed the lifestyle and physical development of Ukrainian adolescents and their parents and estimated the familial aggregation and heritability of body mass index and physical activity. 408 nuclear families were examined (1216 people with complete information). Anthropometric measures such as weight, height were measured following standardized procedures of WHO. Questionnaires were used to estimate the levels of physical activity. The method of genetic epidemiology research was used to explore heritability (h2) and family aggregation (ρ). Analysis was performed using the software product S.A.G.E. The study showed that 12.0±1.6% of children were overweight or obese, 6.4±1.2% were underweight and 81.6±1.9% with normal weight. It was found that among adolescents aged 12-15 years, 17.5±3.1% of boys and 32.7±2.9% of girls were physically inactive. Body mass index values higher than 25.0 kg/m2 were found in 34.3±2.4 mothers and in 70.6±2.3% of fathers. The proportion of physically inactive persons was 45.7±2.5% among mothers and 51.1±2.7% among fathers. Heritability values were significant for both body mass index (h2 =0.41±0.09; p<0.001) and physical activity (h2 =0.23±0.07; p<0.001). Significant familial correlations were obtained between parents-offspring for physical activity (ρ=0.20±0.04; p<0.001) and body mass index (ρ=0.25±0.03; p<0.001). The study estimated that the familial correlations for physical activity between mother-son and mother-daughter pairs were higher than in father-son and father-daughter pairs. The highest is the mother-daughter aggregation (ρ = 0.29 ± 0.06; p <0.001), the lowest is the father-son (ρ=0.19±0.08; p<0.05) by body mass index. As physical inactivity and overweight increase the risk of non-communicable diseases development, the data obtained should be taken into account while planning preventive measures.

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Heritability of body mass index and physical activity in Ukrainian adolescents

et al. 2022

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“…These factors include differences in the early shared (family) environment and differences in genetic makeup. Twin and family studies are in support of a significant role of genetic and shared environmental factors in the regulation of both physical activity behavior [17][18][19][20][21][22][23][24][25][26][27][28][29][30][31][32] and early motor development [12,[33][34][35]. The heritability estimates of physical activity behavior strongly depend on the age of the child, with the shared (family) environment playing the largest role in childhood, but decreasing into adolescence, where genetic factors explain the largest part of variance in physical activity [18,36].…”

Section: Introductionmentioning

confidence: 98%

Genetic confounding in the association of early motor development with childhood and adolescent exercise behavior

Zi,

Bartels,

Dolan

et al. 2024

Int J Behav Nutr Phys Act

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Introduction Early motor development has been found to be a predictor of exercise behavior in children and adolescents, but whether this reflects a causal effect or confounding by genetic or shared environmental factors remains to be established. Methods For 20,911 complete twin pairs from the Netherlands Twin Register a motor development score was obtained from maternal reports on the timing of five motor milestones. During a 12-year follow-up, subsamples of the mothers reported on the twins’ ability to perform seven gross motor skills ability (N = 17,189 pairs), and weekly minutes of total metabolic equivalents of task (MET) spent on sports and exercise activities at age 7 (N = 3632 pairs), age 10 (N = 3735 pairs), age 12 (N = 7043 pairs), and age 14 (N = 3990 pairs). Multivariate phenotypic and genetic regression analyses were used to establish the predictive strength of the two motor development traits for future exercise behavior, the contribution of genetic and shared environmental factors to the variance in all traits, and the contribution of familial confounding to the phenotypic prediction. Results Significant heritability (h2) and shared environmental (c2) effects were found for early motor development in boys and girls (h2 = 43-65%; c2 = 16-48%). For exercise behavior, genetic influences increased with age (boys: h2age7 = 22% to h2age14 = 51%; girls: h2age7 = 3% to h2age14 = 18%) paired to a parallel decrease in the influence of the shared environment (boys: c2age7 = 68% to c2age14 = 19%; girls: c2age7 = 80% to c2age14 = 48%). Early motor development explained 4.3% (p < 0.001) of the variance in future exercise behavior in boys but only 1.9% (p < 0.001) in girls. If the effect in boys was due to a causal effect of motor development on exercise behavior, all of the factors influencing motor development would, through the causal chain, also influence future exercise behavior. Instead, only the genetic parts of the regression of exercise behavior on motor development were significant. Shared and unique environmental parts of the regression were largely non-significant, which is at odds with the causal hypothesis. Conclusion No support was found for a direct causal effect in the association between rapid early motor development on future exercise behavior. In boys, early motor development appears to be an expression of the same genetic factors that underlie the heritability of childhood and early adolescent exercise behavior.

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“…A meta-analysis by Kawasaki et al [5] also concluded that exposure to maternal hyperglycemia was associated with offspring obesity and abnormal glucose tolerance. Furthermore, familial factors have been considered as risk factors for MetS, including genetic and environmental factors shared among family members [3, 6, 7].…”

Section: Introductionmentioning

confidence: 99%

Metabolic Syndrome in Offspring of Parents with Metabolic Syndrome: A Meta-Analysis

Laurent¹,

Manirakiza²,

Liu³

et al. 2021

Obes Facts

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Background: The metabolic syndrome (MetS) represents a clustering of risk factors for cardiovascular diseases that includes abdominal obesity, hypertension, dyslipidemia, and insulin resistance. Objectives: The objective of this study was to reassess the parent-offspring association of MetS since the available findings are still controversial. Methods: The Cochrane Library, PubMed, Embase, and Web of Science databases were searched to identify relevant articles. All studies comparing MetS status between the offspring of parents with MetS and offspring of parents without MetS were included in the analysis. Results: A total of 9 studies met the inclusion criteria and they were analyzed. Offspring of at least 1 parent with MetS had a higher risk of MetS (OR 3.88, 95% CI 2.58–5.83, p < 0.001). Sons and daughters of fathers with MetS both had a higher risk of MetS (OR 2.31, 95% CI 1.70–3.12, p < 0.001, and OR 1.73, 95% CI 1.37–2.18, p < 0.001, respectively). Sons and daughters of mothers with MetS both had a higher risk of MetS (OR 1.95, 95% CI 1.37–2.76, p = 0.0002, and OR 1.91, 95% CI 1.54–2.35, p < 0.001, respectively). Conclusion: This meta-analysis showed that there is a higher risk of MetS in the offspring of parents with MetS. However, there was no differential association of MetS according to gender and/or age of the offspring.

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Familial aggregation and heritability of markers of metabolic risk, physical activity, and physical fitness in nuclear families from Muzambinho (Minas Gerais, Brazil)

Cited by 3 publications

References 30 publications

Heritability of body mass index and physical activity in Ukrainian adolescents

Heritability of body mass index and physical activity in Ukrainian adolescents

Genetic confounding in the association of early motor development with childhood and adolescent exercise behavior

Metabolic Syndrome in Offspring of Parents with Metabolic Syndrome: A Meta-Analysis

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