Abstract:
This study was aimed to determine the prevalence of cardiovascular risk factors among different sociodemographic groups of adolescents from indigenous communities in Chiapas, Mexico. A cross-sectional prevalence study was performed in urban and rural communities in the Tzotzil-Tzeltal and Selva regions of Chiapas. A sample of 253 adolescents was studied, of whom 48% were girls and 52% were boys. A descriptive analysis of quantitative variables was performed using measures of central tendency and dispersion. The prevalence of cardiovascular risk factors stratified by sex, geographical area, years of schooling, and ethnicity of the mothers was estimated. The prevalence of cardiovascular risk factors was analyzed in relation to the sociodemographic characteristics of the study population. Low HDL-c (51%) was the predominant cardiovascular risk factor. Girls had a higher prevalence of abdominal obesity, hypertriglyceridemia, and borderline total cholesterol than boys. High diastolic blood pressure was more prevalent in boys. Adolescents from urban areas had a higher prevalence of overweight/obesity and insulin resistance than adolescents from rural areas. The prevalence of overweight/obesity and abdominal obesity was higher in adolescents whose mothers had ≥ 7 years of schooling compared with adolescents with less educated mothers. Differences by maternal ethnicity also influenced the prevalence of insulin resistance. Among the main findings, this study associated sociodemographic and geographical inequalities with cardiovascular risk factors. Promoting a healthy lifestyle for this young population is absolutely necessary to prevent cardiovascular diseases in adulthood.
Keywords:
Heart Disease Risk Factors; Sociodemographic Factors; Adolescent; Indigenous Peoples
Resumen:
El objetivo de este estudio fue estimar la prevalencia de los factores de riesgo cardiovascular entre diferentes grupos sociodemográficos de adolescentes de comunidades indígenas de Chiapas, México. Se realizó un estudio transversal de prevalencia en comunidades urbanas y rurales de las regiones Tzotzil-Tzeltal y Selva, en Chiapas. Participó una muestra de 253 adolescentes, en la cual el 48% eran niñas y el 52% niños. Se realizó un análisis descriptivo de las variables cuantitativas utilizando medidas de tendencia central y dispersión. Se estimó la prevalencia de los factores de riesgo cardiovascular, estratificados por sexo, área geográfica, nivel de estudios y etnia de las madres. Se analizó la prevalencia de los factores de riesgo cardiovascular con relación a las características sociodemográficas de la población estudiada. El HDL-c bajo (51%) fue el factor de riesgo cardiovascular predominante. Se observó una mayor prevalencia de obesidad abdominal, hipertrigliceridemia y colesterol total en las niñas que en los niños. La alta presión arterial diastólica prevaleció en los niños. Los adolescentes del área urbana tuvieron una mayor prevalencia de sobrepeso/obesidad y resistencia a la insulina que los del área rural. La prevalencia de sobrepeso/obesidad y obesidad abdominal fue mayor en los adolescentes cuyas madres tenían nivel de estudios ≥ 7 años que aquellos cuyas madres tenían bajo nivel de estudios. Las diferencias en la etnicidad materna también influyeron en la prevalencia de resistencia a la insulina. Entre las principales conclusiones de este estudio, se destacan las desigualdades sociodemográficas y geográficas entre los factores de riesgo cardiovascular. La promoción de un estilo de vida saludable entre la población joven es lo indicado para prevenir las enfermedades cardiovasculares en la edad adulta.
Palabras-clave:
Factores de Riesgo de Enfermedad Cardiaca; Factores Sociodemográficos; Adolescente; Pueblos Indígenas
Resumo:
O objetivo deste estudo foi determinar a prevalência de fatores de risco cardiovascular entre diferentes grupos sociodemográficos de adolescentes de comunidades indígenas em Chiapas, México. Foi realizado um estudo transversal de prevalência em comunidades urbanas e rurais das regiões de Tzotzil-Tzeltal e Selva de Chiapas. Foi estudada uma amostra de 253 adolescentes, sendo 48% meninas e 52% meninos. Foi realizada uma análise descritiva das variáveis quantitativas por meio de medidas de tendência central e dispersão. Foram estimadas as prevalências de fatores de risco cardiovascular, estratificadas por sexo, área geográfica, escolaridade e etnia das mães. A prevalência dos fatores de risco cardiovascular foi analisada em relação às características sociodemográficas da população estudada. O HDL-c baixo (51%) foi o fator de risco cardiovascular predominante. Prevalências mais elevadas de obesidade abdominal, hipertrigliceridemia e colesterol total limítrofe foram mais observadas em meninas do que em meninos. A pressão arterial diastólica elevada prevaleceu nos meninos. Adolescentes da área urbana apresentaram prevalências de sobrepeso/obesidade e resistência à insulina maiores do que os da área rural. A prevalência de sobrepeso/obesidade e obesidade abdominal foi maior nos adolescentes cujas mães possuíam escolaridade ≥ 7 anos do que naqueles indivíduos cujas mães tinham baixa escolaridade. As diferenças de etnia das mães também foram observadas na prevalência de resistência à insulina. Dentre as principais conclusões, foram encontradas, neste estudo, desigualdades sociodemográficas e geográficas entre fatores de risco cardiovascular. Promover estilos de vida saudáveis entre a população jovem é o ideal para prevenir doenças cardiovasculares na vida adulta.
Palavras-chave:
Fatores de Risco de Doenças Cardíacas; Fatores Sociodemográficos; Adolescente; Povos Indígenas
Introduction
In recent decades, interest in the study of health inequalities has grown. According to previous evidence, in Mexico, certain chronic and infectious diseases, such as malnutrition, tuberculosis 11. Nájera-Ortiz JC, Sánchez-Pérez HJ, Ochoa-Díaz H, Arana-Cedeño M, Lezama MS, Mateo MM. Demographic, health services and socio-economic factors associated with pulmonary tuberculosis mortality in Los Altos Region of Chiapas, Mexico. Int J Epidemiol 2008; 37:786-95., anemia, cervical cancer, metabolic syndrome, and diabetes 22. Ortiz-Hernández L, Pérez-Salgado D, Tamez-González S. Socioeconomic inequality and health in Mexico. Rev Med Inst Mex Seguro Soc 2015; 53:336-47., were more frequent among individuals of low socioeconomic status. In Mexico, cardiovascular diseases (CVD) are the main cause of mortality, representing an important public health problem. Evidence shows the association of different risk factors with CVD. Abnormal lipid metabolism during childhood 33. Nicklas TA, von Duvillard SP, Berenson GS. Tracking of serum lipids and lipoproteins from childhood to dyslipidemia in adults: the Bogalusa Heart Study 2002. Int J Sports Med 2002; 23 Suppl 1:S39-43. is a risk factor for atheromatous plaques during adulthood 44. Davis PH, Dawson JD, Riley WA, Lauer RM. Carotid intimal-medial thickness is related to cardiovascular risk factors measured from childhood 2001. Circulation 2001; 104:2815-9.. Changes in other metabolic risk factors, such as serum glucose, insulin, C-reactive protein 55. Zulet MA, Puchau B, Navarro C, Martínez AMJA. Biomarcadores del estado inflamatorio: nexo de unión con la obesidad y complicaciones asociadas between obesity and associated. Insulin 2007; 22:511-27., blood pressure, and waist circumference, are also associated with an increased risk of CVD 66. Tande I, Bertoldi L, De Queiroz A, Teixeira N. Impacto de la proteína-C reactiva en el riesgo cardiovascular de adolescentes. Arq Bras Cardiol 2010; 94:567-73..
In Latin American countries such as Brazil, Chile, and Venezuela, obesity and dyslipidemia are highly prevalent 77. Pierlot R, Cuevas-Romero E, Rodríguez-Antolín J, Méndez-Hernández P, Martínez-Gómez M. Prevalencia de síndrome metabólico en niños y adolescentes de América. TIP Revista Especializada en Ciencias Químico-Biológicas 2017; 20:40-9.. A study with 180 adolescents from Mexico City showed that 61% had hypertriglyceridemia and half of them had low concentrations of high-density lipoprotein cholesterol (HDL-c) 88. Perea-Martínez A, Bárcena-Sobrino E, Rodríguez-Herrera R, Greenawalt-Rodríguez S, Carbajal-Rodríguez L, Zarco-Román J. Obesidad y comorbilidades en niños y adolescentes asistidos en el Instituto Nacional de Pediatría. Acta Pediátr Méx 2009; 30:167-74.. In the State of Morelos, a study with 869 adolescents found that 7% had metabolic syndrome, 68% hypertriglyceridemia, 17% low HDL-c, and 15% hyperglycemia 99. Quintero Gutiérrez A, González Rosendo G, Gutiérrez Trujillo J, Puga Díaz R, Villanueva Sánchez J. Prevalencia de conductas alimentarias de riesgo y sindrome metabólico en escolares adolescentes del estado de Morelos. Nutr Hosp 2018; 35:796-804.. In the city of Tuxtla Gutiérrez, Chiapas, the prevalence of metabolic syndrome in adolescents was 16% 1010. Jiménez-Cruz A, Velasco-Martínez R, Bacardí-Gascón M, Higuera-Domínguez F, Dominguez De La Piedra E. HOMA-IR, síndrome metabólico y hábitos dietéticos en adolescentes de Chiapas, México. Rev Bioméd (México) 2009; 20:82-8.. However, studies conducted in other countries have shown that cardiovascular risk can be influenced by socioeconomic status 1111. Batty GD, Leon DA. Socio-economic position and coronary heart disease risk factors in children and young people. Evidence from UK epidemiological studies. Eur J Public Health 2002; 12:263-72., ethnicity 1212. Katz SF, Rodriguez F, Knowles JW. Health disparities in cardiometabolic risk among Black and Hispanic youth in the United States. Am J Prev Cardiol 2021; 6:100175.,1313. Lopez-Neyman SM, Davis K, Zohoori N, Broughton KS, Moore CE, Miketinas D. Racial disparities and prevalence of cardiovascular disease risk factors, cardiometabolic risk factors, and cardiovascular health metrics among US adults: NHANES 2011-2018. Sci Rep 2022; 12:19475., and geographical area 1414. Sarah W, Pascal G, Sneha SM, Gupta A, Kavita S, Mohammed KA, et al. Changing socioeconomic and geographic gradients in cardiovascular disease risk factors among Indians aged 15-49 years - evidence from nationally representative household surveys. Lancet Reg Health Southeast Asia 2023; 12:100188.. In Mexico, few studies compare cardiovascular risk factors between indigenous peoples and the general population. A study performed with adolescents from urban and rural schools in Central Mexico showed a high prevalence of hypoalphalipoproteinemia, especially among boys from the rural area, where the main ethnic groups were the Mazahuas and the Otomi 1515. Yamamoto-Kimura L, Posadas-Romero C, Posadas-Sánchez R, Zamora-González J, Cardoso-Saldaña G, Méndez Ramírez I. Prevalence and interrelations of cardiovascular risk factors in urban and rural Mexican adolescents. J Adolesc Health 2006; 38:591-8.. Another study with adults in Chiapas showed that the mestizo population had a higher risk of CVD than the indigenous population 1616. Cruz-Serrano NI, Briones-Aranda A, Sarmiento VRB, Toledo-Meza MD, León-González JM. Los factores de riesgo cardiovascular en población indígena y mestiza en Chiapas. Rev Salud Pública Nutr 2021; 20:31-46.. To date, the specialized literature presents little evidence on cardiovascular risk factors for adolescents in Chiapas. Thus, this study aims to measure the prevalence of cardiovascular risk factors and analyze their distribution among different population groups in Chiapas.
Methods
Study and sample design
This cross-sectional prevalence study was conducted with a sample of adolescents from a birth cohort study, born in three public hospitals in Chiapas in 2003. The sampling had two stages. In the first stage, the communities to which adolescents belong were clustered according to population size and geographical area (rural/urban). In the second stage, a systematic sampling of adolescents was performed with a randomized start-up 1717. Flores-Guillén E, Ochoa-Díaz-López H, Castro-Quezada I, Irecta-Nájera CA, Cruz M, Meneses ME, et al. Intrauterine growth restriction and overweight, obesity, and stunting in adolescents of indigenous communities of Chiapas, Mexico. Eur J Clin Nutr 2020; 74:149-57..
Study population
In total, 303 adolescents of both sexes, with a mean age of 14.1 years, from 14 municipalities in the Tzotzil-Tzeltal and Selva regions of Chiapas were selected 1717. Flores-Guillén E, Ochoa-Díaz-López H, Castro-Quezada I, Irecta-Nájera CA, Cruz M, Meneses ME, et al. Intrauterine growth restriction and overweight, obesity, and stunting in adolescents of indigenous communities of Chiapas, Mexico. Eur J Clin Nutr 2020; 74:149-57.. Of them, 50, without biochemical data, were excluded, obtaining a final sample of 253 adolescents.
Survey information
Interviews were conducted with adolescents and their mothers or caregivers at their homes. A pre-coded and structured questionnaire was applied, covering the following information: sociodemographic data, non-pathological personal history, family medical history, anthropometric and clinical measurements. Blood samples were collected for biochemical analyses. Sociodemographic data included sex, age, geographical area (rural/urban), ethnicity, and years of schooling of adolescents and their mothers, and household assets. Family medical history included diseases of first- and second-degree relatives and non-pathological personal history (smoking and alcohol use). The anthropometric and clinical assessment considered weight, height, waist circumference, and blood pressure.
Data collection procedures
Data were collected by a multidisciplinary fieldwork team (medicine, biology, clinical chemistry, and nutrition) 1717. Flores-Guillén E, Ochoa-Díaz-López H, Castro-Quezada I, Irecta-Nájera CA, Cruz M, Meneses ME, et al. Intrauterine growth restriction and overweight, obesity, and stunting in adolescents of indigenous communities of Chiapas, Mexico. Eur J Clin Nutr 2020; 74:149-57.. Weight was measured by electronic scales (accuracy ± 100g, Model UM081, Tanita Corporation, https://www.tanita.com/es/). Height was measured using stadiometers (accuracy ± 1mm, SECA, https://www.seca.com/de_de.html). Body mass index (BMI) was estimated by dividing weight by height squared and BMI z-score was calculated with AnthroPlus v. 1.0.4 (https://who-anthroplus.freedownloadscenter.com/windows/). As the main interest of this study is overweight/obesity as a risk factor, nutritional status was classified as normal weight [< 1 standard deviation (SD)] and overweight/obesity [BMI z-score ≥ 1 SD]. Waist circumference was measured by anthropometric tapes (accuracy ± 1mm, SECA). The cut-off point for abdominal obesity was ≥ 80cm in girls and ≥ 90cm in boys, according to the International Diabetes Federation 1818. Zimmet P, Alberti GKMM, Kaufman F, Tajima N, Silink M, Arslanian S, et al. The metabolic syndrome in children and adolescents - an IDF consensus report. Pediatr Diabetes 2007; 8:299-306..
Blood pressure was measured twice on the right mid-arm using a digital monitor (Model CH-453, Citizen, https://www.citizen-systems.co.jp/english/support/index.html) while the adolescent was sitting and after a five-minute rest. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were classified as normal (< 90th percentile) or high (≥ 90th percentile) 1919. Ford E, Ajani U, Mokdad A. The metabolic syndrome and concentrations of C-reactive protein. Diabetes Care 2005; 28:878-81., using the percentile tables of the US National Institutes of Health for age, sex, and height 2020. National High Blood Pressure Education Program Working Group on High Blood Pressure in Children and Adolescents. The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents. Pediatrics 2004; 114(2 Suppl 4th Report):555-76..
Biochemical measurements
Blood samples were collected from the antecubital vein by venipuncture after a 12-hour fasting. Serum was obtained by centrifugation at 6,000 rpm for 10 minutes. Serum glucose, triglycerides, total cholesterol, HDL-c, and low-density lipoprotein cholesterol (LDL-c) were measured by an automated analyzer (Vitalab Selectra E, Vitalab Scientific, https://fr.bimedis.com/vitalab-selectra-e-m274310) using photometric enzymatic methods (Diasys Diagnostic System, https://www.diasys-diagnostics.com/). Insulin serum levels were quantified in an eclectic analyzer (Adaltis Diagnostics, https://www.adaltis.net/) using the immunoenzymatic method (Adaltis Diagnostics). High-sensitivity C-reactive protein (hs-CRP) was quantified by nephelometry (Genius, http://www.geniusmedica.net/) and brand reagents (Diasys Diagnostic System).
Diagnostic criteria
Metabolic changes
Glucose levels were classified as normal (< 100mg/dL) or abnormal blood glucose (≥ 100mg/dL) 1919. Ford E, Ajani U, Mokdad A. The metabolic syndrome and concentrations of C-reactive protein. Diabetes Care 2005; 28:878-81.. The following cut-off points were established for serum lipid levels: triglycerides (acceptable < 90mg/dL, borderline 90-129mg/dL, and high ≥ 130mg/dL), total cholesterol (acceptable < 170mg/dL, borderline 170-199mg/dL, and high ≥ 200mg/dL), LDL-c (acceptable < 130mg/dL and high ≥ 130mg/dL) and c-HDL (acceptable > 40mg/dL and low < 40mg/dL) 2121. Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents; National Heart, Lung, and Blood Institute. Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents: summary report. Pediatrics 2011; 128 Suppl 5:S213-56..
Insulin resistance
The homeostatic model to assess insulin resistance (HOMA-IR) was estimated by multiplying fasting blood glucose (mg/dL) by fasting insulin (µU/mL) divided by 22.5. The cut-off point used to determine insulin resistance was 2.97 2222. Piña-Aguero MI, Zaldivar-Delgado A, Salas-Fernández A, Martínez-Basila A, Bernabe-Garcia M, Maldonado-Hernández J. Optimal cut-off points of fasting and post-glucose stimulus surrogates of insulin resistance as predictors of metabolic syndrome in adolescents according to several definitions. J Clin Res Pediatr Endocrinol 2018; 10:139-46..
Cardiovascular risk
To discriminate cardiovascular risk by hs-CRP, the following cut-off points of the US Centers for Disease Control and Prevention (CDC) and the American Heart Association (AHA) were used: low risk hs-CRP < 1mg/dL, average risk 1-3mg/dL, and high risk > 3mg/dL 2323. Myers GL, Rifai N, Tracy RP, Roberts WL, Alexander RW, Biasucci LM, et al. CDC/AHA Workshop on Markers of Inflammation and Cardiovascular Disease. Circulation 2004; 110:e560-7..
Metabolic syndrome
The diagnosis of metabolic syndrome was analyzed according to the criteria of the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III), previously used by Ford et al. 1919. Ford E, Ajani U, Mokdad A. The metabolic syndrome and concentrations of C-reactive protein. Diabetes Care 2005; 28:878-81.. According to NCEP-ATP III definition, the diagnosis of metabolic syndrome must include three or more of the following factors (for both sexes): abdominal obesity (waist circumference ≥ 90th sex-specific percentile), triglycerides ≥ 110mg/dL, HDL-c ≤ 40mg/dL, SBP or DBP ≥ 90th percentile (age-, height-, and sex-specific), and glucose ≥ 110mg/dL 2424. Duncan E, Li M, Zhou X. Prevalence and trends of a metabolic syndrome phenotype among U.S. adolescents, 1999-2000. Diabetes Care 2004; 27:2438-43..
Statistical analysis
A descriptive analysis of quantitative variables was performed using measures of central tendency and dispersion. The prevalence of cardiovascular risk factors and 95% confidence intervals (95%CI) were estimated, stratified by sex, geographical area (rural/urban), years of schooling, and maternal ethnicity. The difference between variable distributions was obtained by Mann-Whitney U tests (for non-parametric variables) and independent samples t-tests (for parametric variables). The proportions of qualitative variables were analyzed using the Bonferroni correction. All analyses were performed in SPSS (https://www.ibm.com/).
Ethical approval and participation consent
Before the interview, mothers or caregivers and adolescents signed an informed consent form. This study was approved by the Research Ethics Committee of the El Colegio de la Frontera Sur (CEI-O-076/16).
Results
Of the 253 adolescents, 52% were boys and 75% lived in urban areas. Table 1 presents the sociodemographic characteristics of adolescents according to sex. Their mean age was 14 years and their mean years of schooling was 6.5 years. In total, 46% of mothers spoke an indigenous language and 56.4% had < 7 years of schooling. Of adolescents’ fathers, 30% had < 7 years of schooling and 53% spoke an indigenous language. Regarding household assets, 4% of participants had no running water, 32% cooked with charcoal/firewood, 12% had a latrine, septic tank, or none of them, 36% had no fridge, 13% had no television, 22% had no cell phone, and 80% had no computer. In total, 77% of adolescents ate red meat less than once per week and only 12% had medical insurance (Institute for Social Security and Services for State Workers - ISSSTE, Social Security Institute of Workers of the State of Chiapas - ISSSTECH, Mexican Social Security Institute - IMSS, Mexican Ministry of National Defense - SEDENA). We found differences in socioeconomic characteristics between the sexes in terms of having a fridge and cooking fuel (Table 1).
Table 2 shows the adolescents’ family medical history and non-pathological personal history. Around 45% of adolescents had relatives with chronic diseases. The most commonly reported diseases were type 2 diabetes, hypertension, and CVD. In total, 68% followed the Mexican vaccination schedule, boys less than girls, and 54% were not exclusively breastfed in their first six months of life. Among the adolescents, 20% consumed alcohol occasionally, boys less than girls, and 16% had smoked at least once in their lives.
Table 3 shows the prevalence of cardiovascular risk factors by sex. The most prevalent risk factor was low HDL-c (51%), followed by borderline triglycerides (35%), overweight/obesity (29%), and hypertriglyceridemia (28%). A small percentage of the population had high LDL-c levels (1%), abnormal fasting blood glucose (3%), and high total cholesterol (4%). A significantly higher proportion of girls had abdominal obesity (p < 0.001), borderline total cholesterol (p = 0.002), and high triglycerides (p = 0.021) as compared with boys. Moreover, the prevalence of overweight/obesity was 45% higher in girls than in boys. However, boys presented greater prevalence of high DBP and low HDL-c levels.
Table 4 presents the prevalence of cardiovascular risk factors according to geographical area (urban/rural). In urban areas, the prevalence of overweight/obesity (33%) and insulin resistance (28%) was significantly higher compared with rural areas. Moreover, we found a borderline significant difference in abdominal obesity among adolescents living in urban areas (16.9%) compared with rural areas (7.8%).
Regarding maternal schooling (Table 5), this study observed a significantly higher prevalence of overweight/obesity and abdominal obesity among adolescents whose mothers had ≥ 7 years of schooling. On the other hand, adolescents with mothers with < 7 years of schooling had a higher prevalence of low HDL-c. Regarding maternal ethnicity (Table 6), adolescents whose mothers did not speak an indigenous language had a significantly higher prevalence of insulin resistance compared with adolescents whose mothers spoke an indigenous language (HOMA-IR ≥ 2.97 units). Moreover, the prevalence of low HDL-c was higher among adolescents whose mothers spoke an indigenous language (56.3%) compared with adolescents whose mothers spoke only Spanish (45%).
Table 7 shows the prevalence of metabolic syndrome defined by the NCEP-ATP III criteria, according to different populations. According to the NCEP-ATP, the prevalence of metabolic syndrome was 14.6%. This prevalence was higher in girls, urban areas, and adolescents with mothers who spoke an indigenous language and had ≥ 7 years of schooling.
Discussion
This study found a high prevalence of cardiovascular risk factors, such as overweight/obesity, low HDL-c, high triglycerides, and insulin resistance, among adolescents from 58 mestizo and indigenous communities in two regions of Chiapas. The prevalence of overweight/obesity in the study population was 29%, higher in urban areas (32.8%) than in rural areas (17.2%). Similarly, the Mexican National Survey of Health and Nutrition (ENSANUT 2016) for adolescents aged 12 to 19 years showed that the prevalence of overweight/obesity in urban areas was slightly higher (36.7%) than in rural areas (35%). The high prevalence of overweight/obesity found in this age group in our study is remarkable. This finding may be the result of the nutritional transition and lifestyle changes observed over the last decades, especially in urban areas. In these areas, the Mexican population has become sedentary 22. Ortiz-Hernández L, Pérez-Salgado D, Tamez-González S. Socioeconomic inequality and health in Mexico. Rev Med Inst Mex Seguro Soc 2015; 53:336-47. and has been exposed to Westernized dietary patterns, characterized by energy-dense, nutrient-poor foods and sugar-sweetened beverages 2525. Barquera S, Hernández-Barrera L, Rothenberg SJ, Cifuentes E. The obesogenic environment around elementary schools: food and beverage marketing to children in two Mexican cities. BMC Public Health 2018; 18:461.. Moreover, the population in this study had a double burden of malnutrition, as in a previous study by the same authors, with a high prevalence of stunting among adolescents in rural areas 1717. Flores-Guillén E, Ochoa-Díaz-López H, Castro-Quezada I, Irecta-Nájera CA, Cruz M, Meneses ME, et al. Intrauterine growth restriction and overweight, obesity, and stunting in adolescents of indigenous communities of Chiapas, Mexico. Eur J Clin Nutr 2020; 74:149-57.. The prevalence of overweight/obesity and abdominal obesity was higher in adolescents whose mothers had ≥ 7 years of schooling. A study with schoolchildren in the state of Guerrero, Mexico, found that maternal schooling increased the likelihood of overweight among their children 2626. Moraes SA, Rosas JB, Mondini L, Freitas ICM. Prevalência de sobrepeso e obesidade e fatores associados em escolares de área urbana de Chilpancingo, Guerrero, México, 2004. Cad Saúde Pública 2006; 22:1289-301.. Another study conducted in three Mexican cities (Tijuana, Tuxtla Gutiérrez, and Reynosa) also showed that among children from low-income families whose mothers had higher schooling levels, the prevalence of overweight/obesity was higher 2727. Jimenez-Cruz A, Bacardi-Gascon M, Pichardo-Osuna A, Mandujano-Trujillo Z, Castillo-Ruiz O. Infant and toddlers' feeding practices and obesity amongst low-income families in Mexico. Asia Pac J Clin Nutr 2010; 19:316-23..
In this study, the prevalence of abdominal obesity was 14.6%. We found differences by sex, as girls had the highest prevalence of abdominal obesity (24.6%). The relationship between abdominal obesity and sex in adolescents is still controversial. For example, previous studies in Spain 2828. Martorell R, Zongrone A. Intergenerational influences on child growth and undernutrition. Paediatr Perinat Epidemiol 2012; 26 Suppl 1:302-14. and Brazil 2929. Silva DA, Pelegrini A, Silva AF, Grigollo LR, Petroski E. Obesidade abdominal e fatores associados em adolescentes: comparação de duas regiões brasileiras diferentes economicamente. Arq Bras Endocrinol Metabol 2012; 56:291-9. showed a higher prevalence of abdominal obesity in boys than in girls. This may be due to the difference in total body fat between the sexes, considering the higher percentage of body fat in girls and the redistribution of fat from the extremities to the trunk. This distribution differs between the sexes, since changes in body fat are associated with estrogen and testosterone levels 3030. Oliva Gobato A, Vasques AC, Porto Zambon M, Barros Filho A, Hessel G. Metabolic syndrome and insulin resistance in migraine. J Headache Pain 2012; 13:321-6.. Disparities between the sexes can also be attributed to social and cultural differences. In Mexico, the prevalence of overweight in girls increased from 23.7% in 2012 to 26.4% in 2016, while in boys, the prevalence remained unchanged 3131. Hernández M, Rivera J, Shamah T, Cuevas L, Gómez L, Gaona E, et al. Encuesta Nacional de Salud y Nutrición de Medio Camino 2016. Cuernavaca: Instituto Nacional de Salud Pública; 2016.. In Chiapas, the prevalence of overweight/obesity in girls also increased from 30.7% in 2006 to 32.1% in 2012 3232. Instituto Nacional de Salud Pública. Encuesta Nacional de Salud y Nutrición 2012. Resultados por entidad federativa, Chiapas. Cuernavaca: Instituto Nacional de Salud Pública; 2013..
Regarding blood pressure, in our study, the proportion of boys with DBP ≥ 90th percentile was higher than the proportion of girls. A previous study with adolescents in the United States also showed that, after the onset of puberty, boys had higher blood pressure than girls of the same age 3333. Harshfield GA, Alpert BS, Pulliam DA, Somes GW, Wilson DK. Ambulatory blood pressure recordings in children and adolescents. Pediatrics 1994; 94(2 Pt 1):180-4.. The mechanisms responsible for the differences in blood pressure during adolescence between the sexes are still unclear. Evidence shows that androgens, such as testosterone, may play an important role in regulating blood pressure in sex-related differences 3434. Reckelhoff JF. Gender differences in the regulation of blood pressure. Hypertension 2001; 37:1199-208., since testosterone levels cause endothelial dysfunction 3535. Herman SM, Robinson JT, McCredie MR, Boyer M, Celermajer D. Androgen deprivation is associated with enhanced endothelium-dependent dilatation in adult men. Arterioscler Thromb Vasc Biol 1997; 17:2004-9..
Our findings for blood lipids, stratified by sex, showed that triglycerides and borderline total cholesterol were higher in girls than in boys. These differences by sex can be explained by the different hormonal activity during adolescence 3636. Morrison J, Barton B, Biro M, Sprecher D. Sex hormones and the changes in adolescent male lipids: longituinal studies in a biracial cohort. J Pediatr 2003; 142:637-42.. The girls in our study had higher waist circumference values, which may explain their higher triglycerides levels. The most prevalent risk factor found in rural areas was high triglycerides levels, although this difference compared with urban areas was not statistically significant. This result is in line with a study with adolescents from Mexico City and a rural community in Central Mexico, where 45% of the population is predominantly Mazahua and Otomi 3737. Yamamoto-Kimura L, Posadas-Romero C, Posadas-Sánchez R, Zamora-González J, Cardoso-Saldaña G, Méndez Ramírez I. Prevalence and interrelations of cardiovascular risk factors in urban and rural Mexican adolescents. J Adolesc Health 2006; 38:591-8.. This finding can be partly explained by dietary intake. Low-fat and high-carbohydrate diets increase triglyceride levels 3838. Parks EJ, Hellerstein MK. Carbohydrate-induced hypertriacylglycerolemia: historical perspective and review of biological mechanisms. Am J Clin Nutr 2000; 71:412-33.. In our study, the mean carbohydrate intake was 356g per day in rural areas and 322g in urban areas. These values are higher than the average for Mexican adolescents in rural areas (285g per day for girls and 326g for boys). Moreover, 69% of girls and 61% of boys in rural areas regularly consume an excess of added sugars 3939. López-Olmedo N, Carriquiry AL, Rodríguez-Ramírez S, Ramírez-Silva I, Espinosa-Montero J, Hernández-Barrera L, et al. Usual intake of added sugars and saturated fats is high while dietary fiber is low in the Mexican population. J Nutr 2016; 146:1856S-65S..
The prevalence of borderline total cholesterol was higher in girls (14.8%) than in boys (3.8%), but we found no differences by geographic area. A study reports that total cholesterol levels decrease in boys in early puberty, but increase again as they approach adulthood. In contrast, total cholesterol levels increase during puberty in girls 4040. Gooding HC, De Ferranti SD. Cardiovascular risk assessment and cholesterol management in adolescents: getting to the heart of the matter. Curr Opin Pediatr 2010; 22:398-404.. However, as we did not measure Tanner stages, we could not differentiate sexual maturation, which could influence our results.
Regarding HDL-c levels, we found a higher prevalence of low HDL-c in adolescents whose mothers had < 7 years of schooling compared with adolescents with mothers with ≥ 7 years of schooling. In line with our results, a previous study showed a trend towards a higher prevalence of low HDL-c in Mexican adults with lower socioeconomic status and schooling level 4141. Aguilar-Salinas CA, Gómez-Pérez FJ, Rull J, Villalpando S, Barquera S, Rojas R. Prevalence of dyslipidemias in the Mexican National Health and Nutrition Survey 2006. Salud Pública Méx 2010; 52 Suppl 1:S44-53.. Moreover, we found a borderline significant difference in the prevalence of low HDL-c. Low HDL-c was higher among adolescents whose mothers spoke an indigenous language compared with adolescents whose mothers spoke only Spanish. Ethnic disparities in HDL-c levels may result from the presence and interaction of multiple components, such as genotype, body composition, lifestyle habits, and perceptions 4242. Wells JC. Ethnic variability in adiposity, thrifty phenotypes and cardiometabolic risk: addressing the full range of ethnicity, including those of mixed ethnicity. Obes Rev 2012; 13 Suppl 2:14-29.. For example, regarding genotype, the C230 variant of ATP-binding cassette transporter A1 (ABCA1) was associated with an increased risk of hypoalphalipoproteinemia in Mexican children 4343. Flores-Dorantes T, Arellano-Campos O, Posadas-Sánchez R, Villarreal-Molina T, Medina-Urrutia A, Romero-Hidalgo S, et al. Association of R230C ABCA1 gene variant with low HDL-C levels and abnormal HDL subclass distribution in Mexican school-aged children. Clin Chim Acta 2010; 411:1214-7. and adults 4444. Aguilar-Salinas CA, Canizales-Quinteros S, Rojas-Martínez R, Mehta R, Rodriguez-Guillén R, Ordoñez-Sanchez ML, et al. The non-synonymous Arg230Cys variant (R230C) of the ATP-binding cassette transporter A1 is associated with low HDL cholesterol concentrations in Mexican adults: a population based nation wide study. Atherosclerosis 2011; 216:146-50.. Among the Mayan population, the frequency of the C230 allelic variant (0.288) was higher than in the Mexican mestizo population (0.109) 4545. Villarreal-Molina MT, Aguilar-Salinas CA, Rodríguez-Cruz M, Riaño D, Villalobos-Comparan M, Coral-Vazquez R, et al. The ATP-binding cassette transporter A1 R230C variant affects HDL cholesterol levels and BMI in the Mexican population: association with obesity and obesity-related comorbidities. Diabetes 2007; 56:1881-7.. The presence of this allelic variant translates directly into a 30% reduction in the ABCA1 transporter, which is heavily involved in HDL biogenesis 4646. Rivas-Gomez B, Almeda-Valdés P, Tussié-Luna MT, Aguilar-Salinas CA. Dyslipidemia in Mexico, a call for action. Rev Invest Clin 2018; 70:211-6.. However, we highlight that the population-attributable risk of hypoalphalipoproteinemia from the C230 allele of ABCA1 in Mexico is around 12% 4444. Aguilar-Salinas CA, Canizales-Quinteros S, Rojas-Martínez R, Mehta R, Rodriguez-Guillén R, Ordoñez-Sanchez ML, et al. The non-synonymous Arg230Cys variant (R230C) of the ATP-binding cassette transporter A1 is associated with low HDL cholesterol concentrations in Mexican adults: a population based nation wide study. Atherosclerosis 2011; 216:146-50.. Thus, ethnic disparities in low HDL-c levels should not be attributed only to genetic factors, since other factors may be involved, such as behavioral (poor diet), cultural, and linguistic barriers, socioeconomic disparities 4747. Barr DA. The childhood roots of cardiovascular disease disparities. Mayo Clin Proc 2017; 92:1415-21., or unequal access to health care and facilities 1212. Katz SF, Rodriguez F, Knowles JW. Health disparities in cardiometabolic risk among Black and Hispanic youth in the United States. Am J Prev Cardiol 2021; 6:100175..
The prevalence of insulin resistance in this study was considerably high (24%). We also found that insulin resistance in urban areas was higher than in rural areas. This finding is in line with previous studies, in which the urban environment was an independent predictor of insulin resistance 4848. Thanikachalam M, Fuller CH, Lane KJ, Sunderarajan J, Harivanzan V, Brugge D, et al. Urban environment as an independent predictor of insulin resistance in a South Asian population. Int J Health Geogr 2019; 18:5.. Evidence shows that insulin resistance is associated with lipid changes in early life and with overweight/obesity 4949. Chiarelli F, Loredana M. Insulin resistance and obesity in childhood. Eur J Endocrinol 2008; 159 Suppl 1:S67-74.. Thus, the interaction between the high prevalence of obesity and changes in lipid metabolism in our sample may also explain our results. Moreover, the prevalence of insulin resistance was higher in adolescents whose mothers were not indigenous. In Chiapas, most rural population is indigenous 5050. Secretaria de Hacienda, Gobierno de Chiapas. Plan estatal de desarrollo Chiapas 2019-2024 actualizado. Chiapas: Gobierno de Chiapas; 2021.. We found no differences in HOMA-IR between the sexes and regarding maternal schooling.
The analysis of hs-CRP showed that 25% of adolescents had moderate and high cardiovascular risk according to CDC and AHA, with higher hs-CRP levels in girls, urban areas, and adolescents with less educated mothers, despite the lack of statistically significant differences. Similar to our results, a study with 418 Mexican adolescents from the city of Guadalajara showed no differences in cardiovascular risk regarding hs-CRP between the sexes 5151. Mendoza-Carrera F, Ramírez-López G, Ayala-Martínez NA, García-Zapién AG, Flores-Martínez S, Sánchez-Corona J. Influence of CRP, IL6, and TNFA gene polymorphisms on circulating levels of C-reactive protein in Mexican adolescents. Arch Med Res 2010; 41:472-7..
Regarding metabolic syndrome in the study population, results showed a high prevalence (14.6%) according to the NCEP-ATP III criteria. Other studies conducted in Mexico showed a different prevalence: 8.8% at national level 5252. Castro-Quezada I, Angulo-Estrada S, Sánchez-Villegas A, Ruiz-López MD, Artacho R, Serra-Majem L, et al. Glycemic index, glycemic load, and metabolic syndrome in Mexican adolescents: a cross-sectional study from the NHNS-2012. BMC Nutr 2017; 3:44., 6.7% in Morelos 99. Quintero Gutiérrez A, González Rosendo G, Gutiérrez Trujillo J, Puga Díaz R, Villanueva Sánchez J. Prevalencia de conductas alimentarias de riesgo y sindrome metabólico en escolares adolescentes del estado de Morelos. Nutr Hosp 2018; 35:796-804., and 20% in Campeche 5353. Juarez-Lopez C, Klunder-Klunder M, Medina-Bravo P, Madrigal-Azcarate A, Mass-Diaz E, Flores-Huerta S. Insulin resistance and its association with the components of the metabolic syndrome among obese children and adolescents. BMC Public Health 2010; 10:318., which has the highest prevalence of diabetes and hypertension in the country.
The nutritional transition in the population of Chiapas may be among the possible explanations for the situation found in our study 5454. Álvarez Gordillo GC, Eroza Solana JE, Ramírez Domínguez CE. Diagnóstico sociocultural de la alimentación de los jóvenes en Comitán, Chiapas. Medicina Social 2009; 4:35-51.. In recent decades, dietary patterns have shifted from a traditional plant-based diet to a Westernized eating style consisting of a high fat and refined carbohydrate intake 5555. Rivera JA, Pedraza LS, Aburto TC, Batis C, Sánchez-Pimienta TG, González de Cosío T, et al. Overview of the dietary intakes of the Mexican population: results from the National Health and Nutrition Survey 2012. J Nutr 2016; 146:1851S-5S.. ENSANUT 2016 showed that adolescents habitually consumed food groups not recommended for daily consumption: 84% habitually consumed sugary drinks, 59% snacks, sweets, and desserts, and 50% sweetened cereals 3131. Hernández M, Rivera J, Shamah T, Cuevas L, Gómez L, Gaona E, et al. Encuesta Nacional de Salud y Nutrición de Medio Camino 2016. Cuernavaca: Instituto Nacional de Salud Pública; 2016..
Sedentary behavior among adolescents has also been associated with insulin resistance, lipid changes, and higher inflammatory states 5656. Velásquez-Rodríguez CM, Velásquez-Villa M, Gómez-Ocampo L, Bermúdez-Cardona J. Abdominal obesity and low physical activity are associated with insulin resistance in overweight adolescents: a cross-sectional study. BMC Pediatr 2014; 14:258.. The adolescents studied spent 10 hours per day sitting (nine hours for the rural population) and only one hour and 40 minutes per week exercising or practicing sports, without differences between the sexes.
Socioeconomic factors and mechanisms such as different access to food, schooling level, health services, information, income, occupation, and empowerment can explain the disparities found between populations and geographical areas. One of the main strengths of this study is that it documents sociodemographic inequalities in cardiovascular risk factors among adolescents from marginalized Mayan communities in Chiapas, which have been little studied previously. This allowed us to identify vulnerable groups in order to develop future, precise interventions to modify their cardiovascular risk profiles. Every individual of the sample studied received their results in private, along with nutritional counseling.
This study with adolescents from marginalized indigenous areas in Chiapas showed sociodemographic and geographical disparities in cardiovascular risk factors. Girls had a higher prevalence of risk factors. We found a differential pattern of risk factors regarding geographical area, as the urban population was more vulnerable to overweight/obesity, while the rural population was more vulnerable to low HDL-c levels.
Based on these results, we recommend the creation of effective and targeted public health policies to improve the well-being of adolescents from marginalized indigenous areas: (1) monitoring nutritional status and promoting healthy lifestyles; (2) preventing and controlling the increasing prevalence of cardiovascular risk factors in the study population; (3) creating social and economic interventions to improve living conditions and prevent chronic diseases in adulthood; (4) continuing health surveillance in the studied population; (5) implementing culturally adapted models to bring health care to rural areas; and (6) conducting further studies on the genetic determinants of CVD in ethnic minorities.
Acknowledgments
The authors thank the participants of the study, the Social Service students from the Chiapas University of Sciences and Arts, the Southeast University, and the Chiapas Institute of Higher Studies. This study was financed by a grant from the Mexican National Science and Technology Council (CONACYT).
References
- 1Nájera-Ortiz JC, Sánchez-Pérez HJ, Ochoa-Díaz H, Arana-Cedeño M, Lezama MS, Mateo MM. Demographic, health services and socio-economic factors associated with pulmonary tuberculosis mortality in Los Altos Region of Chiapas, Mexico. Int J Epidemiol 2008; 37:786-95.
- 2Ortiz-Hernández L, Pérez-Salgado D, Tamez-González S. Socioeconomic inequality and health in Mexico. Rev Med Inst Mex Seguro Soc 2015; 53:336-47.
- 3Nicklas TA, von Duvillard SP, Berenson GS. Tracking of serum lipids and lipoproteins from childhood to dyslipidemia in adults: the Bogalusa Heart Study 2002. Int J Sports Med 2002; 23 Suppl 1:S39-43.
- 4Davis PH, Dawson JD, Riley WA, Lauer RM. Carotid intimal-medial thickness is related to cardiovascular risk factors measured from childhood 2001. Circulation 2001; 104:2815-9.
- 5Zulet MA, Puchau B, Navarro C, Martínez AMJA. Biomarcadores del estado inflamatorio: nexo de unión con la obesidad y complicaciones asociadas between obesity and associated. Insulin 2007; 22:511-27.
- 6Tande I, Bertoldi L, De Queiroz A, Teixeira N. Impacto de la proteína-C reactiva en el riesgo cardiovascular de adolescentes. Arq Bras Cardiol 2010; 94:567-73.
- 7Pierlot R, Cuevas-Romero E, Rodríguez-Antolín J, Méndez-Hernández P, Martínez-Gómez M. Prevalencia de síndrome metabólico en niños y adolescentes de América. TIP Revista Especializada en Ciencias Químico-Biológicas 2017; 20:40-9.
- 8Perea-Martínez A, Bárcena-Sobrino E, Rodríguez-Herrera R, Greenawalt-Rodríguez S, Carbajal-Rodríguez L, Zarco-Román J. Obesidad y comorbilidades en niños y adolescentes asistidos en el Instituto Nacional de Pediatría. Acta Pediátr Méx 2009; 30:167-74.
- 9Quintero Gutiérrez A, González Rosendo G, Gutiérrez Trujillo J, Puga Díaz R, Villanueva Sánchez J. Prevalencia de conductas alimentarias de riesgo y sindrome metabólico en escolares adolescentes del estado de Morelos. Nutr Hosp 2018; 35:796-804.
- 10Jiménez-Cruz A, Velasco-Martínez R, Bacardí-Gascón M, Higuera-Domínguez F, Dominguez De La Piedra E. HOMA-IR, síndrome metabólico y hábitos dietéticos en adolescentes de Chiapas, México. Rev Bioméd (México) 2009; 20:82-8.
- 11Batty GD, Leon DA. Socio-economic position and coronary heart disease risk factors in children and young people. Evidence from UK epidemiological studies. Eur J Public Health 2002; 12:263-72.
- 12Katz SF, Rodriguez F, Knowles JW. Health disparities in cardiometabolic risk among Black and Hispanic youth in the United States. Am J Prev Cardiol 2021; 6:100175.
- 13Lopez-Neyman SM, Davis K, Zohoori N, Broughton KS, Moore CE, Miketinas D. Racial disparities and prevalence of cardiovascular disease risk factors, cardiometabolic risk factors, and cardiovascular health metrics among US adults: NHANES 2011-2018. Sci Rep 2022; 12:19475.
- 14Sarah W, Pascal G, Sneha SM, Gupta A, Kavita S, Mohammed KA, et al. Changing socioeconomic and geographic gradients in cardiovascular disease risk factors among Indians aged 15-49 years - evidence from nationally representative household surveys. Lancet Reg Health Southeast Asia 2023; 12:100188.
- 15Yamamoto-Kimura L, Posadas-Romero C, Posadas-Sánchez R, Zamora-González J, Cardoso-Saldaña G, Méndez Ramírez I. Prevalence and interrelations of cardiovascular risk factors in urban and rural Mexican adolescents. J Adolesc Health 2006; 38:591-8.
- 16Cruz-Serrano NI, Briones-Aranda A, Sarmiento VRB, Toledo-Meza MD, León-González JM. Los factores de riesgo cardiovascular en población indígena y mestiza en Chiapas. Rev Salud Pública Nutr 2021; 20:31-46.
- 17Flores-Guillén E, Ochoa-Díaz-López H, Castro-Quezada I, Irecta-Nájera CA, Cruz M, Meneses ME, et al. Intrauterine growth restriction and overweight, obesity, and stunting in adolescents of indigenous communities of Chiapas, Mexico. Eur J Clin Nutr 2020; 74:149-57.
- 18Zimmet P, Alberti GKMM, Kaufman F, Tajima N, Silink M, Arslanian S, et al. The metabolic syndrome in children and adolescents - an IDF consensus report. Pediatr Diabetes 2007; 8:299-306.
- 19Ford E, Ajani U, Mokdad A. The metabolic syndrome and concentrations of C-reactive protein. Diabetes Care 2005; 28:878-81.
- 20National High Blood Pressure Education Program Working Group on High Blood Pressure in Children and Adolescents. The fourth report on the diagnosis, evaluation, and treatment of high blood pressure in children and adolescents. Pediatrics 2004; 114(2 Suppl 4th Report):555-76.
- 21Expert Panel on Integrated Guidelines for Cardiovascular Health and Risk Reduction in Children and Adolescents; National Heart, Lung, and Blood Institute. Expert panel on integrated guidelines for cardiovascular health and risk reduction in children and adolescents: summary report. Pediatrics 2011; 128 Suppl 5:S213-56.
- 22Piña-Aguero MI, Zaldivar-Delgado A, Salas-Fernández A, Martínez-Basila A, Bernabe-Garcia M, Maldonado-Hernández J. Optimal cut-off points of fasting and post-glucose stimulus surrogates of insulin resistance as predictors of metabolic syndrome in adolescents according to several definitions. J Clin Res Pediatr Endocrinol 2018; 10:139-46.
- 23Myers GL, Rifai N, Tracy RP, Roberts WL, Alexander RW, Biasucci LM, et al. CDC/AHA Workshop on Markers of Inflammation and Cardiovascular Disease. Circulation 2004; 110:e560-7.
- 24Duncan E, Li M, Zhou X. Prevalence and trends of a metabolic syndrome phenotype among U.S. adolescents, 1999-2000. Diabetes Care 2004; 27:2438-43.
- 25Barquera S, Hernández-Barrera L, Rothenberg SJ, Cifuentes E. The obesogenic environment around elementary schools: food and beverage marketing to children in two Mexican cities. BMC Public Health 2018; 18:461.
- 26Moraes SA, Rosas JB, Mondini L, Freitas ICM. Prevalência de sobrepeso e obesidade e fatores associados em escolares de área urbana de Chilpancingo, Guerrero, México, 2004. Cad Saúde Pública 2006; 22:1289-301.
- 27Jimenez-Cruz A, Bacardi-Gascon M, Pichardo-Osuna A, Mandujano-Trujillo Z, Castillo-Ruiz O. Infant and toddlers' feeding practices and obesity amongst low-income families in Mexico. Asia Pac J Clin Nutr 2010; 19:316-23.
- 28Martorell R, Zongrone A. Intergenerational influences on child growth and undernutrition. Paediatr Perinat Epidemiol 2012; 26 Suppl 1:302-14.
- 29Silva DA, Pelegrini A, Silva AF, Grigollo LR, Petroski E. Obesidade abdominal e fatores associados em adolescentes: comparação de duas regiões brasileiras diferentes economicamente. Arq Bras Endocrinol Metabol 2012; 56:291-9.
- 30Oliva Gobato A, Vasques AC, Porto Zambon M, Barros Filho A, Hessel G. Metabolic syndrome and insulin resistance in migraine. J Headache Pain 2012; 13:321-6.
- 31Hernández M, Rivera J, Shamah T, Cuevas L, Gómez L, Gaona E, et al. Encuesta Nacional de Salud y Nutrición de Medio Camino 2016. Cuernavaca: Instituto Nacional de Salud Pública; 2016.
- 32Instituto Nacional de Salud Pública. Encuesta Nacional de Salud y Nutrición 2012. Resultados por entidad federativa, Chiapas. Cuernavaca: Instituto Nacional de Salud Pública; 2013.
- 33Harshfield GA, Alpert BS, Pulliam DA, Somes GW, Wilson DK. Ambulatory blood pressure recordings in children and adolescents. Pediatrics 1994; 94(2 Pt 1):180-4.
- 34Reckelhoff JF. Gender differences in the regulation of blood pressure. Hypertension 2001; 37:1199-208.
- 35Herman SM, Robinson JT, McCredie MR, Boyer M, Celermajer D. Androgen deprivation is associated with enhanced endothelium-dependent dilatation in adult men. Arterioscler Thromb Vasc Biol 1997; 17:2004-9.
- 36Morrison J, Barton B, Biro M, Sprecher D. Sex hormones and the changes in adolescent male lipids: longituinal studies in a biracial cohort. J Pediatr 2003; 142:637-42.
- 37Yamamoto-Kimura L, Posadas-Romero C, Posadas-Sánchez R, Zamora-González J, Cardoso-Saldaña G, Méndez Ramírez I. Prevalence and interrelations of cardiovascular risk factors in urban and rural Mexican adolescents. J Adolesc Health 2006; 38:591-8.
- 38Parks EJ, Hellerstein MK. Carbohydrate-induced hypertriacylglycerolemia: historical perspective and review of biological mechanisms. Am J Clin Nutr 2000; 71:412-33.
- 39López-Olmedo N, Carriquiry AL, Rodríguez-Ramírez S, Ramírez-Silva I, Espinosa-Montero J, Hernández-Barrera L, et al. Usual intake of added sugars and saturated fats is high while dietary fiber is low in the Mexican population. J Nutr 2016; 146:1856S-65S.
- 40Gooding HC, De Ferranti SD. Cardiovascular risk assessment and cholesterol management in adolescents: getting to the heart of the matter. Curr Opin Pediatr 2010; 22:398-404.
- 41Aguilar-Salinas CA, Gómez-Pérez FJ, Rull J, Villalpando S, Barquera S, Rojas R. Prevalence of dyslipidemias in the Mexican National Health and Nutrition Survey 2006. Salud Pública Méx 2010; 52 Suppl 1:S44-53.
- 42Wells JC. Ethnic variability in adiposity, thrifty phenotypes and cardiometabolic risk: addressing the full range of ethnicity, including those of mixed ethnicity. Obes Rev 2012; 13 Suppl 2:14-29.
- 43Flores-Dorantes T, Arellano-Campos O, Posadas-Sánchez R, Villarreal-Molina T, Medina-Urrutia A, Romero-Hidalgo S, et al. Association of R230C ABCA1 gene variant with low HDL-C levels and abnormal HDL subclass distribution in Mexican school-aged children. Clin Chim Acta 2010; 411:1214-7.
- 44Aguilar-Salinas CA, Canizales-Quinteros S, Rojas-Martínez R, Mehta R, Rodriguez-Guillén R, Ordoñez-Sanchez ML, et al. The non-synonymous Arg230Cys variant (R230C) of the ATP-binding cassette transporter A1 is associated with low HDL cholesterol concentrations in Mexican adults: a population based nation wide study. Atherosclerosis 2011; 216:146-50.
- 45Villarreal-Molina MT, Aguilar-Salinas CA, Rodríguez-Cruz M, Riaño D, Villalobos-Comparan M, Coral-Vazquez R, et al. The ATP-binding cassette transporter A1 R230C variant affects HDL cholesterol levels and BMI in the Mexican population: association with obesity and obesity-related comorbidities. Diabetes 2007; 56:1881-7.
- 46Rivas-Gomez B, Almeda-Valdés P, Tussié-Luna MT, Aguilar-Salinas CA. Dyslipidemia in Mexico, a call for action. Rev Invest Clin 2018; 70:211-6.
- 47Barr DA. The childhood roots of cardiovascular disease disparities. Mayo Clin Proc 2017; 92:1415-21.
- 48Thanikachalam M, Fuller CH, Lane KJ, Sunderarajan J, Harivanzan V, Brugge D, et al. Urban environment as an independent predictor of insulin resistance in a South Asian population. Int J Health Geogr 2019; 18:5.
- 49Chiarelli F, Loredana M. Insulin resistance and obesity in childhood. Eur J Endocrinol 2008; 159 Suppl 1:S67-74.
- 50Secretaria de Hacienda, Gobierno de Chiapas. Plan estatal de desarrollo Chiapas 2019-2024 actualizado. Chiapas: Gobierno de Chiapas; 2021.
- 51Mendoza-Carrera F, Ramírez-López G, Ayala-Martínez NA, García-Zapién AG, Flores-Martínez S, Sánchez-Corona J. Influence of CRP, IL6, and TNFA gene polymorphisms on circulating levels of C-reactive protein in Mexican adolescents. Arch Med Res 2010; 41:472-7.
- 52Castro-Quezada I, Angulo-Estrada S, Sánchez-Villegas A, Ruiz-López MD, Artacho R, Serra-Majem L, et al. Glycemic index, glycemic load, and metabolic syndrome in Mexican adolescents: a cross-sectional study from the NHNS-2012. BMC Nutr 2017; 3:44.
- 53Juarez-Lopez C, Klunder-Klunder M, Medina-Bravo P, Madrigal-Azcarate A, Mass-Diaz E, Flores-Huerta S. Insulin resistance and its association with the components of the metabolic syndrome among obese children and adolescents. BMC Public Health 2010; 10:318.
- 54Álvarez Gordillo GC, Eroza Solana JE, Ramírez Domínguez CE. Diagnóstico sociocultural de la alimentación de los jóvenes en Comitán, Chiapas. Medicina Social 2009; 4:35-51.
- 55Rivera JA, Pedraza LS, Aburto TC, Batis C, Sánchez-Pimienta TG, González de Cosío T, et al. Overview of the dietary intakes of the Mexican population: results from the National Health and Nutrition Survey 2012. J Nutr 2016; 146:1851S-5S.
- 56Velásquez-Rodríguez CM, Velásquez-Villa M, Gómez-Ocampo L, Bermúdez-Cardona J. Abdominal obesity and low physical activity are associated with insulin resistance in overweight adolescents: a cross-sectional study. BMC Pediatr 2014; 14:258.
Publication Dates
- Publication in this collection
13 Nov 2023 - Date of issue
2023
History
- Received
14 Feb 2023 - Reviewed
24 June 2023 - Accepted
17 Aug 2023