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1.
Article in English | MEDLINE | ID: mdl-34886385

ABSTRACT

The aim of this study was to assess lipid disorders in children from five ethnic groups, both urban and indigenous, from northern and central Mexico. We measured the lipid profile to determine the ability of the body mass index (BMI) to discriminate an abnormally high lipid level using receiving operating characteristics (ROC). We analyzed the association and interaction of obesity and ethnicity with lipid disorders using generalized linear models in 977 children. The highest prevalence of lipid disorders (high TG, high TC, high LDL, high APOB, and dyslipidemia) was found in central Mexico-Mexico City and urban northern Mexico. The BMI performed better at predicting low HDL in Seris, a northern indigenous group (0.95, CI: 0.69-0.85), and Mexico City (0.75, CI: 0.69-0.82), and high LDL in Puebla (central Mexico, 0.80, CI: 0.69-0.85). Obesity significantly (p < 0.05) increases lipid disorders by around two times (OR~2) for almost all lipid markers. Obesity and ethnic interaction increase the lipid disorders by more than five times for different lipid markers and ethnic groups (high total cholesterol OR = 5.31; low HDL OR = 5.11, and dyslipidemia OR = 5.68). Lipid disorders are not restricted to children with high BMIs, but obesity exacerbates these. The emerging lipid disorder risk depends on the ethnic group.


Subject(s)
Dyslipidemias , Ethnicity , Body Mass Index , Cholesterol, HDL , Dyslipidemias/epidemiology , Humans , Mexico/epidemiology , Obesity/epidemiology , Risk Factors , Triglycerides
2.
Int J Mol Sci ; 21(2)2020 Jan 07.
Article in English | MEDLINE | ID: mdl-31936053

ABSTRACT

In Mexico, the genetic mechanisms underlying childhood obesity are poorly known. We evaluated the effect of loci, known to be associated with childhood body mass index (BMI) in Europeans, in Mexican children from different ethnic groups. We performed linear and logistic analyses of BMI and obesity, respectively, in Mestizos and Amerindians (Seris, Yaquis and Nahuatl speakers) from Northern (n = 369) and Central Mexico (n = 8545). We used linear models to understand the effect of degree of Amerindian ancestry (AMA) and genetic risk score (GRS) on BMI z-score. Northern Mexican Mestizos showed the highest overweight-obesity prevalence (47.4%), followed by Seri (36.2%) and Central Mexican (31.5%) children. Eleven loci (SEC16B/rs543874, OLFM4/rs12429545/rs9568856, FTO/rs9939609, MC4R/rs6567160, GNPDA2/rs13130484, FAIM2/rs7132908, FAM120AOS/rs944990, LMX1B/rs3829849, ADAM23/rs13387838, HOXB5/rs9299) were associated with BMI and seven (SEC16B/rs543874, OLFM4/rs12429545/rs9568856, FTO/rs9939609, MC4R/rs6567160, GNPDA2 rs13130484, LMX1B/rs3829849) were associated with obesity in Central Mexican children. One SNP was associated with obesity in Northern Mexicans and Yaquis (SEC16B/rs543874). We found higher BMI z-score at higher GRS (ß = 0.11, p = 0.2 × 10-16) and at lower AMA (ß = -0.05, p = 6.8 × 10-7). The GRS interacts with AMA to increase BMI (ß = 0.03, p = 6.08 × 10-3). High genetic BMI susceptibility increase the risk of higher BMI, including in Amerindian children.


Subject(s)
Overweight/genetics , Pediatric Obesity/genetics , Polymorphism, Single Nucleotide , Adolescent , Body Mass Index , Child , Child, Preschool , Female , Genetic Predisposition to Disease , Genome-Wide Association Study , Humans , Indians, North American/genetics , Male , Mexico/epidemiology , Overweight/epidemiology , Pediatric Obesity/epidemiology , White People/genetics
3.
BMC Pediatr ; 19(1): 401, 2019 11 04.
Article in English | MEDLINE | ID: mdl-31679507

ABSTRACT

BACKGROUND: Mexico occupies one of the first places worldwide in childhood obesity. Its Mestizo and Indigenous communities present different levels of westernization which have triggered different epidemiological diseases. We assessed the effects of a multi-component school-based intervention program on obesity, cardiovascular and diabetes risk factors. METHODS: A physical activity, health education and parent involvement (PAHEPI) program was developed and applied in six urban (Mestizo ethnic group) and indigenous (Seri and Yaqui ethnic groups) primary schools for 12 weeks. A total of 320 children aged 4-12 years participated in intervention program; 203 under Treatment 1 (PAHEPI program) and 117, only from Mestizo groups, under Treatment 2 (PAHEPI+ school meals). For Body Mass Index (BMI), cardiovascular and diabetes factors, pairwise comparisons of values at baseline and after treatments were done using Wilcoxon signed rank test. Generalized linear models were applied to assess the intervention effect by age, sex and nutritional status in relation to ethnicity and treatment. RESULTS: We observed improvements on BMI in children with overweight-obesity and in triglycerides in the three ethnic groups. The Mestizo ethnic group showed the largest improvements under Treatment 2. While Seris showed improvements only in cardiovascular risk factors, Yaquis also showed improvements in diabetes risk factors, though not in BMI. CONCLUSIONS: This study showed that the same intervention may have positive but different effects in different ethnic groups depending on their lifestyle and their emerging epidemiological disease. Including this type of intervention as part of the school curriculum would allow to adapt to ethnic group in order to contribute more efficiently to child welfare. TRIAL REGISTRATION: This study was retrospectively registered under the identifier NCT03768245 .


Subject(s)
Body Mass Index , Ethnicity , Exercise , Health Education , Pediatric Obesity/therapy , School Health Services , Age Factors , Blood Glucose , Cardiovascular Diseases/prevention & control , Child , Child, Preschool , Cholesterol/blood , Diabetes Mellitus/prevention & control , Diet, Western/adverse effects , Diet, Western/ethnology , Female , Humans , Indians, North American/ethnology , Linear Models , Male , Meals , Mexico/ethnology , Overweight/blood , Overweight/ethnology , Overweight/therapy , Parents , Pediatric Obesity/blood , Pediatric Obesity/complications , Pediatric Obesity/ethnology , Program Evaluation , Risk Factors , Sex Factors , Statistics, Nonparametric , Time Factors , Triglycerides/blood
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