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1.
Ethn Health ; 25(5): 679-685, 2020 07.
Artigo em Inglês | MEDLINE | ID: mdl-29463112

RESUMO

Background: The Mayas of the State of Yucatan in Mexico are the only aboriginal group with obesity and diabetes data before 1997. Objective: To analyze socioeconomic trends associated with the increase in obesity and diabetes seen in rural Yucatan from 1962 to 2000. Methods: Body weight, height and venous Fasting Blood Glucose (FBG) were measured in 263 rural Maya adults participating in a 2000 nutrition survey. Results: Diabetes (FBG > 125 mg/dL) and obesity (BMI ≥ 30 kg/m2) were 10.6% and 35.7%, respectively. These results contrast with those of a 1962 survey where diabetic prevalence was 2.3% and 0% in women and men respectively, with widespread adult pellagra and malnutrition. An important socioeconomic transition that took place in Yucatan during this lapse appeared to be associated to the obesity and diabetes increase. Conclusions: Rural Yucatan evolved from malnutrition conditions to high prevalence of obesity and diabetes in less than 40 years. This change was associated with the transition from an agroindustry-based economy, characterized by high-energy expenditure and low protein intake, to lower energy requirements of a Government-subsidized economy with larger food supply.


Assuntos
Diabetes Mellitus Tipo 2/etnologia , Indígenas Norte-Americanos/estatística & dados numéricos , Obesidade/etnologia , População Rural/estatística & dados numéricos , Adulto , Glicemia , Pesos e Medidas Corporais , Feminino , Humanos , Masculino , Desnutrição/etnologia , México/epidemiologia , Pessoa de Meia-Idade , Pelagra/etnologia , Prevalência , Fatores Socioeconômicos
2.
J Epidemiol Community Health ; 69(6): 580-7, 2015 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-25691273

RESUMO

BACKGROUND: Low socioeconomic status (SES) has been associated with higher risk of cardiometabolic diseases in developed societies, but investigation of SES and cardiometabolic risk in children in less economically developed populations is sparse. We aimed to examine associations among SES and cardiometabolic risk factors in Colombian children. METHODS: We used data from a population-based study of 1282 children aged 6-10 years from Bucaramanga, Colombia. SES was classified according to household wealth, living conditions and access to public utilities. Anthropometric and biochemical parameters were measured at a clinic visit. Cardiometabolic risk factors were analysed continuously using linear regression and as binary outcomes-according to established paediatric cut points-using logistic regression to calculate OR and 95% CIs. RESULTS: Mean age of the children was 8.4 (SD 1.4) and 51.1% of the sample were boys. Odds of overweight/obesity, abdominal obesity and insulin resistance were greater among higher SES. Compared with the lowest SES stratum, children in the highest SES had higher odds of overweight/obesity (OR=3.25, 95% CI 1.89 to 5.57), abdominal obesity (OR=2.74, 95% CI 1.41 to 5.31) and insulin resistance (OR=2.60, 95% CI 1.81 to 3.71). In contrast, children in the highest SES had lower odds of hypertriglyceridaemia (triglycerides ≥90th centile; OR=0.28, 95% CI 0.14 to 0.54) and low (≤10th centile) high-density lipoprotein (HDL) cholesterol (OR=0.35, 95% CI 0.15 to 0.78). CONCLUSIONS: In Colombian children, SES is directly associated with obesity and insulin resistance, but inversely associated with dyslipidaemia (hypertriglyceridaemia and low HDL cholesterol). Our findings highlight the need to analyse cardiometabolic risk factors separately in children and to carefully consider a population's level of economic development when studying their social determinants of cardiometabolic disease.


Assuntos
Adiposidade , Doenças Cardiovasculares/epidemiologia , Dislipidemias/epidemiologia , Resistência à Insulina , Obesidade Infantil/epidemiologia , Classe Social , Determinantes Sociais da Saúde/economia , Análise de Variância , Doenças Cardiovasculares/economia , Criança , Estudos Transversais , Países em Desenvolvimento/economia , Países em Desenvolvimento/estatística & dados numéricos , Dislipidemias/economia , Feminino , Humanos , Entrevistas como Assunto , Modelos Lineares , Modelos Logísticos , Masculino , Obesidade Abdominal/economia , Obesidade Abdominal/epidemiologia , Obesidade Infantil/economia , Exame Físico , Fatores de Proteção , Fatores de Risco
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