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1.
Arch. latinoam. nutr ; 73(supl. 2): 73-83, sept. 2023. tab
Artigo em Espanhol | LILACS, LIVECS | ID: biblio-1532926

RESUMO

Introducción. La circunferencia de cintura (CC) es indicador de obesidad abdominal y riesgo cardiovascular en adultos. En Perú, la obesidad ha aumentado a diferente magnitud por área de residencia y poco se sabe de la influencia del consumo de alimentos ultraprocesados (AUP) sobre este fenómeno en población adulta. Objetivo. Evaluar la asociación entre ingesta de AUP y circunferencia de cintura en adultos peruanos por área de residencia. Materiales y métodos. Estudio transversal de datos secundarios de 745 adultos con información de ingesta dietaria (un recordatorio de 24 horas) de la Encuesta Nacional Vigilancia Alimentaria y Nutricional por Etapas de Vida 2017-2018. Los AUP fueron caracterizados según la clasificación NOVA. La ingesta AUP como el porcentaje relativo de la ingesta energética total (%), dividida en terciles. La CC medida como punto medio entre última costilla y cresta iliaca. Se usó regresión lineal múltiple ponderada y análisis estratificado según área de residencia. Resultados. La edad promedio fue 37,2 años. La ingesta de AUP promedio fue 14,7% (IC95%: 14,2 ­ 15,3). Comparado con adultos en el menor tercil de ingesta de AUP, aquellos en tercil medio tuvieron mayor CC ( 0,73; IC95%: 0,22 ­ 1,24; valor p= 0,007). Al estratificar por área de residencia, adultos rurales del tercil medio tuvieron mayor CC en comparación con primer tercil ( : 1,85; IC95%: 1,17 ­ 2,53, valor p < 0,001). Conclusiones. En adultos peruanos, la ingesta de AUP se asoció a CC en áreas rurales, aunque no de forma lineal. Más estudios son necesarios para entender la naturaleza de esta asociación(AU)


Introduction. Waist circumference (WC) is an abdominal obesity and cardiovascular risk indicator among adults. In Peru, obesity prevalence has been increasing unequally between residence areas, and the influence of ultra- processed food (UPF) consumption on WC in Peruvian adults remains unclear. Objective. Evaluate the association between UPF consumption and waist circumference by residence setting among Peruvian adults. Materials and methods. A cross-sectional secondary analysis of dietary intake data (single 24-hour recall) from 745 adults aged 18 and 59 years old from the "Vigilancia Alimentaria y Nutricional por Etapas de Vida 2017-2018" National Surveys was performed. The NOVA system was used to characterize the UPFs, and the exposure was the percentage of total energy consumed from UPF per day (%), in quantiles. WC (cm) was assessed at the middle point between the last rib and the iliac crest. Weighted linear regression analysis stratified by residence areas were conducted. Results. The mean age was 37.2 years. The mean percent of total energy consumed from UPF was 14.7% (95%CI: 14.2 ­ 15.3). Those in the middle tertile of UPF consumption, had higher WC ( 0.73; 95%CI: 0.22 ­ 1.24; p-value = 0.007) compared with those in the lower tertile. In the stratified analysis, those in the second tertile in rural areas have more WC compared with the first tertile ( 1.85; 95%CI: 1.17 ­ 2.53, p-value< 0.001). Conclusions. In rural areas, UPF consumption was associated with waist circumference, but it does not follow a linear association. Further studies are needed to understand the rationale behind these results(AU)


Assuntos
Humanos , Masculino , Feminino , Adolescente , Adulto , Pessoa de Meia-Idade , Circunferência da Cintura , Obesidade Abdominal , Alimento Processado , População Rural , Doenças Cardiovasculares , Inquéritos Nutricionais , Ingestão de Alimentos
2.
An. Fac. Med. (Perú) ; 82(1)mar. 2021.
Artigo em Espanhol | LILACS-Express | LILACS | ID: biblio-1505612

RESUMO

Introducción. La obesidad severa (OS) ha sido muy poco estudiada en el Perú. Objetivo. Determinar la prevalencia de OS según dos criterios diagnósticos y su relación con factores sociodemográficos y de riesgo cardiovascular en población infantil. Métodos. Se utilizó el IMC, definiendo como obesidad a un valor ≥ al 95p y OS a: ≥ 99p y ≥ 120% del 95p, respectivamente (n=2001). Para las dislipidemias: hipercolesterolemia ≥ 200 mg/dL, C-HDL bajo ≤ 40 mg/dL, C no HDL alto ≥ 145 mg/dL, C-LDL alto ≥ 130 mg/dL; e hipertrigliceridemia para menores de 9 años ≥ 100 mg/dL y de 10 a 19 años ≥ 130 mg/ dL. Resistencia a la insulina (RI) con un HOMA-I ≥ 3,16 (n=344). Resultados. El 31,5% presentó obesidad. El 12,8% OS con el primer criterio y 7,7% con el segundo criterio. En ambos criterios de OS se presentó asociación con los grupos de edad (OR: 0,55 IC 0,4-0,89) y (OR: 0,62 IC 0,43- 0,89). La alteración de los lípidos y la RI fue más prevalente en los OS. Con el primer criterio se encontró asociación significativa con C-LDL e hipertrigliceridemia; y con el segundo con el C-HDL e hipertrigliceridemia. Conclusiones. La OS afectó más al grupo etáreo de 6 a 9 años, las que nacieron con un peso normal, las que presentaron antecedentes familiares y las niñas cuyas madres refirieron no haber tenido ningún nivel de instrucción.


Introduction. Severe obesity (SO) has been studied very little in Peru. Objective. To determine the prevalence of SO according to two diagnostic criteria and its relationship to socio-demographic and cardiovascular risk factors in the child population. Methods. BMI was used, defining as obesity at a value ≥ at 95p and SO at: ≥ 99p and ≥ 120% of 95p, respectively (n=2001). For dyslipidemias the following: hypercholesterolemia ≥ 200 mg/dL, C-HDL under ≤ 40 mg/dL, C non HDL high ≥ 145 mg/dL, High C-LDL ≥ 130 mg/dL and hypertriglyceridemia for children under 9 ≥ to 100 mg/dL and 10 to 19 years ≥ 130 mg/dL and insulin resistance (RI) with a HOMA-I ≥ 3.16 (n=344). Results. 31,5% were obese. 12,8% SO with the first criterion and 7,7% with the second criterion. In both SO criteria it had association with age groups (OR: 0,55 IC 0,4-0,89) and (OR: 0,62 IC 0,43-0,89). Alteration of lipids and RI it was more prevalent in SO. The first criterion found significant association with C-LDL and hypertriglyceridemia; and in the second with C-HDL and hypertriglyceridemia. Conclusions. SO affects most the ethereal group of 6 to 9 years, those born with a normal weight, those who had a family history and girls whose mother reported not having had any level of instruction.

3.
medRxiv ; 2021 Mar 31.
Artigo em Inglês | MEDLINE | ID: mdl-33564796

RESUMO

BACKGROUND: Stay-at-home orders and social distancing have been implemented as the primary tools to reduce the spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, this approach has indirectly lead to the unemployment of 2·3 million Peruvians, in Lima, Perú alone. As a result, the risk of food insecurity may have increased, especially in low-income families who rely on a daily wage. This study estimates the prevalence of moderate or severe food insecurity (MSFI) and identifies the associated factors that explain this outcome during the stay-at-home order. METHODS: A cross-sectional web-based survey, with non-probabilistic sampling, was conducted between May 18 and June 30, 2020, during the stay-at-home order in Peru. We used social media advertisements on Facebook to reach 18-59-year-olds living in Peru. MSFI was assessed using the Food Insecurity Experience Scale (FIES). Rasch model methodology requirements were considered, and factors associated with MSFI were selected using stepwise forward selection. A Poisson generalized linear model (Poisson GLM), with log link function, was employed to estimate adjusted prevalence ratios (aPR). FINDINGS: This analysis is based on 1846 replies. The prevalence of MSFI was 23·2%, and FIES proved to be an acceptable instrument with reliability 0·72 and infit 0·8-1·3. People more likely to experience MSFI were those with low income (less than 255 US$/month) in the pre-pandemic period (aPR 3·77; 95%CI, 1·98-7·16), those whose income was significantly reduced during the pandemic period (aPR 2·27; 95%CI, 1·55-3·31), and those whose savings ran out in less than 21 days (aPR 1·86; 95%CI, 1·43-2·42). Likewise, heads of households (aPR 1·20; 95%CI, 1·00-1·44) and those with probable SARS-CoV2 cases as relatives (aPR 1·29; 95%CI, 1·05-1·58) were at an increased risk of MSFI. Additionally, those who perceived losing weight during the pandemic (aPR 1·21; 95%CI, 1·01-1·45), and increases in processed foods prices (aPR 1·31; 95%CI, 1·08-1·59), and eating less minimally processed food (aPR 1·82; 95%CI, 1·48-2·24) were more likely to experience MSFI. INTERPRETATION: People most at risk of MSFI were those in a critical economic situation before and during the pandemic. Social protection policies should be reinforced to prevent or mitigate these adverse effects.

4.
An. Fac. Med. (Perú) ; 81(4): 410-415, oct.-dic 2020. tab
Artigo em Espanhol | LILACS-Express | LILACS | ID: biblio-1278289

RESUMO

RESUMEN Objetivos. Describir el nivel de hormona tiroestimulante (TSH) y tiroxina plasmática libre (T4L) en escolares con sobrepeso y obesidad; además, determinar asociación entre TSH y factores de riesgo cardiovascular. Métodos. Participaron del estudio 96 escolares mujeres, entre 7 a 17 años, eutiroideas. Se definió sobrepeso IMC de 85 a < 95p y obesidad ≥ de 95p. Se determinó glucosa, triglicéridos, colesterol total, colesterol de alta y baja densidad, TSH y T4L. Para definir los subgrupos se optó valor del 75p de TSH. Resultados. Las variables antropométricas y la TSH fue significativamente mayor entre escolares obesas; sin embargo, las variables bioquímicas no difirieron entre grupos. Las que tuvieron sobrepeso y una TSH>75p presentaron medidas de circunferencia de cintura (CC) significativamente mayores, respecto al grupo TSH<75p, sin diferencia en las demás variables. Se encontró asociación lineal positiva y significativa (p<0,001) entre el nivel de TSH y el puntaje z-IMC (r=0,37) y la CC (r=0,51); no hubo asociación entre TSH con otros factores de riesgo cardiovascular. En la regresión lineal se encontró que por cada unidad de TSH incrementada, el puntaje z-IMC aumentó en 0,25 y la CC en 2,25 cm ajustado por edad, siendo este hallazgo significativo. Conclusión. Los valores de TSH fueron significativamente mayores en escolares obesas en comparación a las con sobrepeso. El puntaje z-IMC y la circunferencia de cintura se incrementaron conforme lo hace la TSH, independientemente de la edad. No se encontró relación entre los niveles de TSH con los niveles de colesterol, triglicéridos y glucosa.


ABSTRACT Objective. To describe the level of thyroid stimulating hormone (TSH) and free plasma thyroxine (FT4) in school students with overweight and obesity; also determine the association between TSH and cardiovascular risk factors. Methods. 96 women schoolchildren, between 7 to 17 years old, euthyroid, were studied. Overweight BMI was defined as 85 to <95p and obesity ≥ 95p. Glucose, triglycerides, total cholesterol, high and low density cholesterol, TSH and FT4 were determined. To define the subgroups, a value of 75p of TSH was chosen. Results. Anthropometric variables and TSH was significantly higher among obese women, however, biochemical variables did not differ between groups. Those who were overweight and had a TSH> 75p had significantly higher waist circumference (WC) measurements, compared to the TSH <75p group, with no difference in the other variables. A positive and significant linear association (p <0,001) was found between the TSH level and the z-BMI score (r = 0,37) and the WC (r = 0,51); there was no association between TSH and other cardiovascular risk factors. In the linear regression it was found that for each TSH unit increased, the z-BMI score increased by 0,25 and the WC by 2,25 cm adjusted for age, this finding being significant. Conclusion. TSH values were significantly higher in obese girls compared to overweight girls. Z-BMI score and waist circumference increase as TSH increases, regardless of age. No relationship was found between TSH levels and cholesterol, triglycerides and glucose levels.

5.
An. Fac. Med. (Perú) ; 81(3): 278-284, jul-set 2020. tab
Artigo em Espanhol | LILACS-Express | LILACS | ID: biblio-1285030

RESUMO

RESUMEN Objetivo. Determinar factores de riesgo cardiovascular en escolares con exceso de peso y medir su asociación con variables sociodemográficas. Métodos. Estudio transversal, analítico. Se encuestó a 2001 escolares mujeres de 6 a 17 años de un Centro Educativo de Lima Metropolitana. Se utilizó el índice de masa corporal para el diagnóstico de exceso de peso (sobrepeso entre 85 y 95p y obesidad ≥ 95p) y la circunferencia de cintura para obesidad abdominal (≥ 90p). HOMA-I para la resistencia a la insulina (RI) (≥ 3,16) y para las alteraciones lipídicas: colesterol total (≥ 200 mg/dL), C-HDL bajo (≤ 40 mg/dL), C-LDL alto (≥ 130 mg/dL), C no HDL (≥ 145 mg/dL) y triglicéridos (≥ 100 y 130 mg/dL) para niñas menores de 9 y de 10 a 19 años, respectivamente. Resultados. El exceso de peso se presentó mayormente en las escolares de 10 a 17 años, en las que nacieron con más de 2500 gr, con más de un antecedente familiar, con lactancia materna exclusiva y en aquellas cuyas madres no tuvieron instrucción. Las alteraciones lipídicas más frecuentes fueron hipertrigliceridemia y C-HDL bajo. El 82% presentó dislipidemia y el 55,4% de obesos RI. La obesidad abdominal estuvo asociada con los antecedentes familiares y la instrucción de la madre. Conclusión. Cuatro de cada cinco niñas con exceso de peso presentó por lo menos una alteración de los lípidos. Una de cada dos obesas tuvo RI.


ABSTRACT Objective. To determine the cardiovascular risk factors in overweight schoolchildren and to measure their association with sociodemographic variables. Methods. Cross-sectional, analytical study. 2001 female schoolchildren from 6 to 17 years of age from an Educational Center in Metropolitan Lima were surveyed. The Body Mass Index was used for the diagnosis of excess weight (overweight between 85 and 95p and obesity ≥ 95p) and the Waist Circumference for abdominal obesity (≥ 90p). HOMA-I for insulin resistance (≥ 3,16) and for lipid abnormalities: total cholesterol (≥ 200 mg / dL), low HDL-C (≤ 40 mg/dL), high LDL-C (≥ 130 mg / dL), non-HDL C (≥ 145 mg / dL) and triglycerides (≥ 100 and 130 mg / dL) for girls younger than 9 and 10 to 19 years old, respectively. Results. Excess weight occurred mainly in schoolgirls aged 10 to 17 years, in those who were born with more than 2500 gr, with more than one family history, with exclusive breastfeeding and in those whose mothers had no instruction. The most frequent lipid alterations were hypertriglyceridemia and low HDL-C. 82% had dyslipidemia and 55,4% of obese patients had insulin resistance (IR). Abdominal obesity was associated with family history and mother's instruction. Conclusion. Four out of five girls with excess weight presented at least one alteration of the lipids. One in two obese women had IR.

6.
An. Fac. Med. (Perú) ; 79(3): 200-205, jul.-set. 2018. ilus, tab
Artigo em Espanhol | LILACS-Express | LILACS | ID: biblio-1011035

RESUMO

Introducción. La obesidad está considerada como un problema de salud pública. Su presencia a edades tempranas implica una obligación de identificar la aparición de complicaciones como resistencia a la insulina y diabetes mellitus (DM). Métodos. Estudio observacional, descriptivo y transversal. Participaron 1206 mujeres adolescentes. Se definió la obesidad con valores de IMC ≥ 95p según la OMS. Se determinó niveles séricos de insulina, glucosa y perfil lipídico. Se usó el Homeostasis Model of Assesmente Index (HOMA-I), mediante la ecuación de Matthews con el valor ≥ 3,16 para definir resistencia a la insulina (RI). Para las dislipidemias: hipercolesterolemia ≥ 200 mg/dL, bajo C-HDL ≤ 40 mg/dL, alto C-LDL ≥ 130 mg/dL e hipetrigliceridemia ≥ 130 mg/dL. A las adolescentes obesas con RI se les hizo una prueba de tolerancia oral a la glucosa (PTG): glicemia de 140 a 199 mg/dL intolerantes a la glucosa y ≥ 200 mg/dL diabéticas. Resultados. El 25,1% (303) de la población fue obesa; 246 adolescentes obesas participaron de la evaluación bioquímica, 28,1% (69) de ellas presentaron RI. En las adolescentes obesas con y sin RI, el promedio de las variables bioquímicas en las primeras fueron mayores, siendo estas diferencias significativas estadísticamente, salvo el C-HDL. Diferencias entre la prevalencia de dislipidemias fueron significativas a excepción del C-HDL. La RI presentó un OR de 10,9 (IC 5,4-26,6), 12,1 (IC 4,9-30,1), y 7,6 (IC 3-19,5) con la hipertrigliceridemia, hipercolesterolemia y C-LDL alto. La PTG mostró un 3,3% de intolerantes y ninguna diabética. Conclusiones. El 28,1% (69) de adolescentes obesas presentaron RI; ninguna participante del estudio presentó DM.


Introduction. Obesity is considered a public health problem. Its presence at an early age implies an obligation to identify the onset of complications such as insulin resistance and diabetes mellitus (DM). Methods. Observational, descriptive and transversal study. Participated 1206 teenage women. Obesity was defined with BMI values ≥95p according WHO. Serum levels of insulin, glucose and lipid profile were determined. The Homeostasis Model of Assesment Index (HOMA-I) was used, using the Matthews equation with the value ≥ 3,16 to define insulin resistance (RI). For dyslipidemias: hypercholesterolemia ≥ 200 mg/dL, low HDL-C ≤ 40 mg/dL, high C-LDL ≥ 130 mg / dL and hypetriglyceridemia ≥ 130 mg/dL. The obese teenagers with RI underwent an oral glucose tolerance test (PTG): glycemia of 140 to 199 mg / dL intolerant to glucose and ≥ 200 mg/dL as diabetic. Results 25,1% (303) of the population was obese; 246 obese adolescents participated in the biochemical evaluation, 28,1% (69) of them presented RI. In the obese teenagers with and without IR, the average of the biochemical variables in the former were higher, these differences being statistically significant, except for HDL-C. Differences between the prevalence of dyslipidemias were significant except for HDL-C. The IR presented an OR of 10,9 (CI 5,4-26,6), 12,1 (CI 4,9-30,1), and 7,6 (CI 3-19,5) with hypertriglyceridemia, hypercholesterolemia and high LDL-C. The PTG showed 3,3% intolerant and none diabetic. Conclusions: 28,1% (69) of obese adolescents presented RI; no study participant presented DM.

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