Há poucos estudos focados na epidemiologia da crise hipertensiva em nível populacional em ambientes com recursos limitados. O objetivo deste estudo foi determinar a prevalência e a tendência, ao longo do tempo, da crise hipertensiva e fatores associados a essa condição em adultos. Uma análise de dados secundários foi realizada usando a Pesquisa Demográfica de Saúde Familiar (ENDES) do Peru. Crise hipertensiva foi definida com base na presença de pressão arterial sistólica (≥ 180mmHg) ou diastólica (≥ 110mmHg), independentemente de diagnóstico prévio ou uso de medicação. Os fatores associados aos resultados foram avaliados por meio de regressão logística multinomial, e a tendência de crise hipertensiva foi avaliada pelo teste de Cochrane-Armitage. Os dados de 260.167 participantes, com média de 44,2 anos (DP: 16,9) e 55,5% mulheres, foram analisados. A prevalência de hipertensão foi de 23% (IC95%: 22,7-23,4), dentre eles, 5,7% (IC95%: 5,4-5,9) apresentaram crise hipertensiva, com prevalência geral de 1,5% (IC95%: 1,4-1,6). De 2014 a 2022, observou-se queda significativa na prevalência de crise hipertensiva, de 1,7% em 2014 para 1,4% em 2022 (p = 0,001). No modelo multivariável, sexo masculino, idade crescente, residir em área urbana, índice de massa corporal elevado e diabetes autorreferido associaram-se positivamente à crise hipertensiva, enquanto maior escolaridade, nível socioeconômico e altitude elevada associaram-se inversamente. Há necessidade de aprimorar as estratégias de diagnóstico, tratamento e controle da hipertensão arterial, especialmente da crise hipertensiva.

There are few studies focused on the epidemiology of hypertensive crisis at the population level in resource-constrained settings. This study aimed to determine the prevalence and trends over time of hypertensive crisis, as well as the factors associated with this condition among adults. A secondary data analysis was carried out using the Peruvian Demographic and Family Health Survey (ENDES). Hypertensive crisis was defined based on the presence of systolic (≥ 180mmHg) or diastolic (≥ 110mmHg) blood pressure, regardless of previous diagnosis or medication use. The factors associated with our outcome were evaluated using multinomial logistic regression, and the trend of hypertensive crisis was evaluated using the Cochrane-Armitage test. Data from 260,167 participants were analyzed, with a mean age of 44.2 (SD: 16.9) years and 55.5% were women. Hypertension prevalence was 23% (95%CI: 22.7-23.4) and, among them, 5.7% (95%CI: 5.4-5.9) had hypertensive crisis, with an overall prevalence of 1.5% (95%CI: 1.4-1.6). From 2014 to 2022, a significant decrease in the prevalence of hypertensive crisis was observed, from 1.7% in 2014 to 1.4% in 2022 (p = 0.001). In the multivariable model, males, increasing age, living in urban areas, high body mass index, and self-reported type 2 diabetes were positively associated with hypertensive crisis, whereas higher educational level, socioeconomic status, and high altitude were inversely associated. There is a need to improve strategies for the diagnosis, treatment, and control of hypertension, especially hypertensive crisis.

Pocos estudios se han centrado en la epidemiología de la crisis hipertensiva a nivel poblacional en entornos de recursos limitados. El objetivo de este estudio fue determinar la prevalencia y tendencia, a lo largo del tiempo, de la crisis hipertensiva y los factores asociados a esta condición en adultos. Se realizó un análisis de datos secundarios utilizando la Encuesta Demográfica de Salud Familiar (ENDES) de Perú. La crisis hipertensiva se definió en función de la presencia de presión arterial sistólica (≥ 180mmHg) o diastólica (≥ 110mmHg), independientemente del diagnóstico previo o del uso de medicamentos. Los factores asociados a los resultados se evaluaron mediante regresión logística multinomial, y la tendencia a la crisis hipertensiva se estimó mediante la prueba Cochran-Armitage. Los datos de 260.167 participantes, con una media de 44,2 años (DE: 16,9) y 55,5% mujeres, fueron analizados. La prevalencia de hipertensión fue del 23% (IC95%: 22,7-23,4), de la cual el 5,7% (IC95%: 5,4-5,9) tuvo crisis hipertensiva, con una prevalencia general del 1,5% (IC95%: 1,4-1,6). En el período 2014-2022 se constató una disminución significativa en la prevalencia de crisis hipertensiva, del 1,7% en 2014 al 1,4% en 2022 (p = 0,001). En el modelo multivariable, el sexo masculino, el aumento de la edad, vivir en áreas urbanas, el alto índice de masa corporal y la diabetes autoinformada se asociaron positivamente con la crisis hipertensiva, mientras que mayor nivel educativo, nivel socioeconómico y elevada altitud estuvieron asociadas de manera inversa. Es necesario mejorar las estrategias para el diagnóstico, el tratamiento y el control de la hipertensión, especialmente de la crisis hipertensiva.

Abstract Objective Reporting our experience of the management and treatment of Idiopathic granulomatous mastitis (IGM) in a low-income country by describing patients characteristics and therapy with emphasis on conservative surgical excision and postoperative care as the cornerstone of treatment. Methods A retrospective cohort of women with histopathological diagnosis of IGM from 2014 to 2018 at Instituto Nacional Materno Perinatal in Lima, Peru. Patients' characteristics, clinical presentation, treatment, management, postoperative care, and follow-up were analyzed. Results Thirty-eight patients with histopathological diagnosis of IGM were identified. Their average age was 35.9 years and 23 (60.5%) reported previous use of hormonal contraceptives. Nine (23.7%) patients had chronic mastitis with previous treatment. The time from the onset of symptoms to the first clinic consult was 5.1 months on average. Twenty-one (55.3%) patients had the lesion in the right breast, with a mean size of 6.9 cm. Conservative surgical excision was performed in all patients. Additionally, 86.8% required corticosteroids and 78.9% were treated with antibiotics. Complete remission was obtained at 141 days on average (range 44 to 292 days). Six (15.8%) women reported ipsilateral recurrence and 5 (13.2%), contralateral. The latency time was 25.5 months on average. Conclusion The conservative surgical treatment demonstrated and close follow-up made for a high cure rate, but with recurrence similar to that reported in the literature. Use of gloves is an alternative to manage post operative wounds in a low-income country. The most frequent adverse effect was breast surgical scar.

Resumo: Evidências revelam uma relação direta entre a qualidade nutricional e os gastos com alimentação. No entanto, essas despesas são altamente suscetíveis a mudanças. Por outro lado, há uma limitação de evidências sobre a qualidade nutricional dos alimentos domésticos disponíveis. O objetivo deste estudo foi avaliar a relação entre a qualidade nutricional disponível e o gasto total com alimentos em domicílios peruanos, e se havia diferenças por área (urbana e rural) e entre os anos da pandemia de COVID-19. Para isso, foi utilizada a Pesquisa Nacional de Domicílios do Peru (ENAHO) de 2019 e 2020. Foram avaliados o gasto total com alimentos em dólares americanos por di e a qualidade nutricional disponível domiciliar com base na diversidade dietética e no cumprimento das necessidades calóricas domiciliares, considerando o percentual de gasto com alimentos e potenciais fatores de confusão. Utilizou-se o teste t de Student, a análise de variância (ANOVA), a regressão linear e o teste de Wald para avaliar o efeito de interação. Os domicílios com a qualidade nutricional disponível total/parcial adequada por área gastaram, em média, USD 2,00 a mais nas áreas urbanas do que nas rurais e tiveram um percentual de gasto com alimentos 7,1% maior em 2020 do que em 2019. Embora tenha sido encontrada uma associação entre a qualidade nutricional disponível e o gasto total com alimentos por ano e área de estudo, a modificação do efeito só estava presente por área de estudo. No modelo multivariável, os domicílios com a qualidade nutricional disponível total/parcial adequada apresentaram consistentemente um gasto total com alimentos menor por ano, assim como em áreas urbanas. Foi encontrada uma relação inversa entre a qualidade nutricional disponível e o gasto total com alimentos, em contraste com a relação direta dos estudos que avaliaram o custo da dieta e a qualidade nutricional. Esses resultados refletem o déficit nutricional nas compras de alimentos das famílias peruanas.

Resumen: Las evidencian existentes indican una relación directa entre la calidad nutricional y el gasto con alimentos. Sin embargo, los gastos son muy susceptibles a los cambios. Por otro lado, hay pruebas limitadas sobre la calidad nutricional de los alimentos domésticos disponibles. El objetivo de este estudio fue evaluar la relación entre la calidad nutricional disponible y el gasto total en alimentos en los hogares peruanos, y si hubo diferencias por área (urbana y rural) y entre los años de la pandemia del COVID-19. Para ello, se utilizó la Encuesta Nacional de Hogares del Perú (ENAHO) de 2019 y 2020. Se evalúo el gasto total en alimentos en dólares estadounidenses por día, la calidad nutricional disponible por hogar basado en la diversidad dietética y el cumplimiento de los requisitos calóricos por hogar, teniendo en cuenta el porcentaje de gasto alimentario y los posibles factores de confusión. La prueba t de Student, el análisis de varianza (ANOVA), la regresión lineal y la prueba de Wald se utilizaron para evaluar el efecto de interacción. Se encontró que los hogares con la calidad nutricional disponible total/parcial adecuada por área gastan en promedio USD 2,00 más en áreas urbanas que en áreas rurales, y que por año tuvieron el porcentaje de gasto alimentario 7,1% más grande en 2020 que en 2019. Si bien hubo una asociación entre calidad nutricional disponible y gasto total en alimentos por año y área de estudio, la modificación del efecto solo estuvo presente por área de estudio. En el modelo multivariable, los hogares con la calidad nutricional disponible total/parcial adecuada tuvieron consistentemente un gasto total en alimentos más bajo por año, de la misma manera que en áreas urbanas. Se encontró una relación inversa entre calidad nutricional disponible y gasto total en alimentos en contraste con la relación directa de los estudios que evaluaron el costo de la dieta y la calidad nutricional. Los resultados apuntan al déficit nutricional en las compras de alimentos de los hogares peruanos.

Abstract: Evidence points to a direct relationship between nutritional quality and food expenditure. However, food expenditure is highly susceptible to changes, and nutritional quality of household food presents limited evidence. The aim of this study was to assess the relationship between nutritional quality available and total food expenditure in Peruvian households, and whether there were differences by area (urban and rural) and between years of the COVID-19 pandemic. For this, we used Peru’s National Household Survey (ENAHO) from 2019 and 2020. We assessed total food expenditure in US dollars per day, whereas household nutritional quality available was assessed based on dietary diversity and compliance with the household calorie requirements, percentage of food expenditure, and potential confounders. We used the Student’s t-test, analysis of variance (ANOVA), linear regression, and the Wald test to assess the interaction effect. Households with adequate total/partial nutritional quality available by area were found to spend, on average, USD 2.00 more in urban than in rural areas and, by year, they presented 7.1% more percentage of food expenditure in 2020 than in 2019. Despite associations existing between nutritional quality available and total food expenditure by year and study area, the effect modification was only present by study area. In multivariable model, households with adequate total/partial nutritional quality available consistently presented a lower total food expenditure by year, with a lower total food expenditure in urban areas. An inverse relationship was found between nutritional quality available and total food expenditure, in contrast to the direct relationship of studies assessing dietary cost and nutritional quality. Our results reflect the nutritional deficit in the food purchases of Peruvian households.

Abstract: Evidence points to a direct relationship between nutritional quality and food expenditure. However, food expenditure is highly susceptible to changes, and nutritional quality of household food presents limited evidence. The aim of this study was to assess the relationship between nutritional quality available and total food expenditure in Peruvian households, and whether there were differences by area (urban and rural) and between years of the COVID-19 pandemic. For this, we used Peru’s National Household Survey (ENAHO) from 2019 and 2020. We assessed total food expenditure in US dollars per day, whereas household nutritional quality available was assessed based on dietary diversity and compliance with the household calorie requirements, percentage of food expenditure, and potential confounders. We used the Student’s t-test, analysis of variance (ANOVA), linear regression, and the Wald test to assess the interaction effect. Households with adequate total/partial nutritional quality available by area were found to spend, on average, USD 2.00 more in urban than in rural areas and, by year, they presented 7.1% more percentage of food expenditure in 2020 than in 2019. Despite associations existing between nutritional quality available and total food expenditure by year and study area, the effect modification was only present by study area. In multivariable model, households with adequate total/partial nutritional quality available consistently presented a lower total food expenditure by year, with a lower total food expenditure in urban areas. An inverse relationship was found between nutritional quality available and total food expenditure, in contrast to the direct relationship of studies assessing dietary cost and nutritional quality. Our results reflect the nutritional deficit in the food purchases of Peruvian households.

Resumen: Las evidencian existentes indican una relación directa entre la calidad nutricional y el gasto con alimentos. Sin embargo, los gastos son muy susceptibles a los cambios. Por otro lado, hay pruebas limitadas sobre la calidad nutricional de los alimentos domésticos disponibles. El objetivo de este estudio fue evaluar la relación entre la calidad nutricional disponible y el gasto total en alimentos en los hogares peruanos, y si hubo diferencias por área (urbana y rural) y entre los años de la pandemia del COVID-19. Para ello, se utilizó la Encuesta Nacional de Hogares del Perú (ENAHO) de 2019 y 2020. Se evalúo el gasto total en alimentos en dólares estadounidenses por día, la calidad nutricional disponible por hogar basado en la diversidad dietética y el cumplimiento de los requisitos calóricos por hogar, teniendo en cuenta el porcentaje de gasto alimentario y los posibles factores de confusión. La prueba t de Student, el análisis de varianza (ANOVA), la regresión lineal y la prueba de Wald se utilizaron para evaluar el efecto de interacción. Se encontró que los hogares con la calidad nutricional disponible total/parcial adecuada por área gastan en promedio USD 2,00 más en áreas urbanas que en áreas rurales, y que por año tuvieron el porcentaje de gasto alimentario 7,1% más grande en 2020 que en 2019. Si bien hubo una asociación entre calidad nutricional disponible y gasto total en alimentos por año y área de estudio, la modificación del efecto solo estuvo presente por área de estudio. En el modelo multivariable, los hogares con la calidad nutricional disponible total/parcial adecuada tuvieron consistentemente un gasto total en alimentos más bajo por año, de la misma manera que en áreas urbanas. Se encontró una relación inversa entre calidad nutricional disponible y gasto total en alimentos en contraste con la relación directa de los estudios que evaluaron el costo de la dieta y la calidad nutricional. Los resultados apuntan al déficit nutricional en las compras de alimentos de los hogares peruanos.

Resumo: Evidências revelam uma relação direta entre a qualidade nutricional e os gastos com alimentação. No entanto, essas despesas são altamente suscetíveis a mudanças. Por outro lado, há uma limitação de evidências sobre a qualidade nutricional dos alimentos domésticos disponíveis. O objetivo deste estudo foi avaliar a relação entre a qualidade nutricional disponível e o gasto total com alimentos em domicílios peruanos, e se havia diferenças por área (urbana e rural) e entre os anos da pandemia de COVID-19. Para isso, foi utilizada a Pesquisa Nacional de Domicílios do Peru (ENAHO) de 2019 e 2020. Foram avaliados o gasto total com alimentos em dólares americanos por di e a qualidade nutricional disponível domiciliar com base na diversidade dietética e no cumprimento das necessidades calóricas domiciliares, considerando o percentual de gasto com alimentos e potenciais fatores de confusão. Utilizou-se o teste t de Student, a análise de variância (ANOVA), a regressão linear e o teste de Wald para avaliar o efeito de interação. Os domicílios com a qualidade nutricional disponível total/parcial adequada por área gastaram, em média, USD 2,00 a mais nas áreas urbanas do que nas rurais e tiveram um percentual de gasto com alimentos 7,1% maior em 2020 do que em 2019. Embora tenha sido encontrada uma associação entre a qualidade nutricional disponível e o gasto total com alimentos por ano e área de estudo, a modificação do efeito só estava presente por área de estudo. No modelo multivariável, os domicílios com a qualidade nutricional disponível total/parcial adequada apresentaram consistentemente um gasto total com alimentos menor por ano, assim como em áreas urbanas. Foi encontrada uma relação inversa entre a qualidade nutricional disponível e o gasto total com alimentos, em contraste com a relação direta dos estudos que avaliaram o custo da dieta e a qualidade nutricional. Esses resultados refletem o déficit nutricional nas compras de alimentos das famílias peruanas.

RESUMEN Objetivo. El objetivo del presente estudio fue evaluar las tendencias ocurridas en diferentes indicadores de tabaquismo en adolescentes peruanos. Asimismo, se evaluó las tendencias en dichos indicadores de acuerdo a sexo y en aquellos sin antecedente de tabaquismo previo. Materiales y métodos. El presente estudio usa la Encuesta Mundial sobre Tabaquismo en Jóvenes (Global Youth Tobacco Survey 2007, 2014, 2019). Tabaquismo activo se definió según el consumo de tabaco en los últimos 30 días. Tabaquismo pasivo se definió en función a exposición a tabaco dentro y fuera del hogar, tanto global como en forma diaria. Los análisis consideraron el diseño muestral. Resultados. Un total de 17 047 registros (9869 en el 2007, 3424 en el 2014, y 3754 en el 2019) fueron analizados; edad media 14 años y 49,9% mujeres. El 26,6% reportó antecedente de tabaquismo previo; dicha prevalencia cayó de 45,2% (2007), a 25,3% (2014), y a 19,4% (2019, p de tendencias < 0,001), mientras que el tabaquismo activo cayó de 17,1% (2007) a 8,7% (2014) y a 5,7% (2019). La prevalencia global de tabaquismo pasivo en el hogar cayó de 24,7%, a 12,9% y a 10,4% (p de tendencias <0,001), mientras que la prevalencia global de tabaquismo pasivo fuera del hogar se redujo de 46,3%, a 39,4%, y a 36,3% (p < 0,001) en ese lapso. La caída en los indicadores de tabaquismo se vio principalmente en mujeres que en varones. Conclusión. Se evidencia una reducción sostenida en los indicadores de tabaquismo en adolescentes peruanos. El tabaquismo pasivo fuera del hogar continúa siendo frecuente requiriendo el fortalecimiento de las actuales políticas de control de tabaco.

ABSTRACT Objective. This study aimed to assess the trends of different smoking indicators among Peruvian adolescents. Additionally, we evaluated whether such trends were different by sex or among those without previous smoking history. Materials and methods. We analyzed the Global Youth Tobacco Survey (Global Youth Tobacco Survey 2007, 2014, 2019). Active smoking was defined according to smoking in the last 30 days. Passive smoking was assessed based on exposure to tobacco inside and outside the household, both overall and daily. Analyses considered the sample design. Results. A total of 17,047 records (9,869 in 2007, 3,424 in 2014, and 3,754 in 2019) were analyzed; the mean age was 14 years, and 49.9% were women. Previous smoking history was reported in 26.6% of the records; such prevalence fell from 45.2% (2007), to 25.3% (2014), and to 19.4% (2019, p-value for trend < 0.001), whereas active smoking fell from 17.1% (2007) to 8.7% (2014) and to 5.7% (2019). The overall prevalence of passive smoking inside the household fell from 24.7% to 12.9% and 10.4% (p-value <0.001), whereas the overall prevalence of passive smoking outside the household dropped from 46.3% to 39.4% and 36.3% (p-value <0.001) during the same period. The reduction of the smoking indicators was observed mainly among women than in men. Conclusion. There is evidence of a sustained reduction in smoking indicators in Peruvian adolescents. Passive smoking outside the household continues to be common, calling for strengthening current tobacco control policies.

Resumen Introducción: Existen diversos métodos para evaluar el exceso de grasa corporal, pero si alguno de ellos es mejor para detectar diabetes mellitus tipo 2 (DMT2) no ha sido completamente evaluado en Perú. El objetivo de este estudio fue explorar el rendimiento diagnóstico de ciertos marcadores antropométricos de obesidad para detectar casos recientes de DMT2 a nivel poblacional y según el sexo. Metodología: Se realizó un análisis secundario de un estudio transversal realizado en Tumbes; Perú, reclutando pacientes de 30 a 69 años. La variable desenlace fue el diagnóstico reciente de DMT2, determinado por la prueba de tolerancia oral a la glucosa. Las variables de exposición fueron los marcadores antropométricos: índice de masa corporal (IMC), circunferencia de cintura (CC) y razón cintura-talla (RCT). Para la valoración diagnóstica de estos marcadores, se utilizaron curvas ROC (área bajo la curva: AUC), y se estimó la sensibilidad y especificidad en base al índice de Youden. Resultados: Se analizaron los datos de 1.500 participantes, encontrándose una prevalencia de DMT2 recién diagnosticada del 4,7%. La edad promedio fue de 47,6 años (desviación estándar: 10,6) y el 50,1% fueron varones. El rendimiento diagnóstico de los marcadores para el tamizaje de DMT2 en la población general fueron: RCT (AUC: 0,67; IC95%: 0,60-0,73), IMC (AUC: 0,65; IC95%: 0,58-0,72) y CC (AUC: 0,65; IC95%: 0,58-0,72). Cuando se estratificó por sexo los resultados fueron similares, excepto por el valor de CC en varones cuyo rendimiento diagnóstico fue aceptable (AUC: 0,70; IC95%: 0,60-0,81). Conclusiones: El rendimiento diagnóstico de los marcadores de obesidad incluidos en el presente trabajo (IMC, RCT y CC) para el tamizaje de DMT2 en la población general fue pobre.

Abstract Introduction: There are different methods to assess the fat body excess, but whether one of them is better to detect type 2 diabetes mellitus (T2DM) cases has not been fully explored in Peru. This study aimed to explore the diagnostic accuracy of some obesity anthropometric markers for newly-diagnosed T2DM at the population level and by sex. Methodology: Secondary data analysis conducted using data from a population-based study carried out in Tumbes, Peru, with subjects aged between 30 and 69 years old. The outcome was newly diagnosed T2DM, defined using an oral glucose tolerance test. The index tests were obesity anthropometric markers: body mass index (BMI), waist circumference (WC), and waist-to-height ratio (WHR). Diagnostic accuracy of anthropometric markers was estimated using the area under the ROC curve (AUC); sensitivity and specificity were also estimated based on the Youden index. Results: Data from 1,500 participants were analyzed; and 4.7% were classified as having undiagnosed T2DM. Mean age was 47.6 (standard deviation: 10.6) and 50.1% were male. At the population level, diagnostic accuracy of anthropometric markers was: WHR (AUC: 0.67; 95%CI: 0.60-0.73), BMI (AUC: 0.65; 95%CI: 0.58-0.72), and WC (AUC: 0.65; 95%CI: 0.58-0.72). Stratified by sex, the results were similar except on the case of male WC, with an acceptable diagnostic accuracy (AUC: 0.70; 95%CI: 0.60-0.81). Conclusions: The diagnostic accuracy of obesity anthropometric markers (BMI, WC and WHR) for T2DM screening was poor in the general population.

ABSTRACT Objective. This study aimed to assess the trends of different smoking indicators among Peruvian adolescents. Additionally, we evaluated whether such trends were different by sex or among those without previous smoking history. Materials and methods. We analyzed the Global Youth Tobacco Survey (Global Youth Tobacco Survey 2007, 2014, 2019). Active smoking was defined according to smoking in the last 30 days. Passive smoking was assessed based on exposure to tobacco inside and outside the household, both overall and daily. Analyses considered the sample design. Results. A total of 17,047 records (9,869 in 2007, 3,424 in 2014, and 3,754 in 2019) were analyzed; the mean age was 14 years, and 49.9% were women. Previous smoking history was reported in 26.6% of the records; such prevalence fell from 45.2% (2007), to 25.3% (2014), and to 19.4% (2019, p-value for trend < 0.001), whereas active smoking fell from 17.1% (2007) to 8.7% (2014) and to 5.7% (2019). The overall prevalence of passive smoking inside the household fell from 24.7% to 12.9% and 10.4% (p-value <0.001), whereas the overall prevalence of passive smoking outside the household dropped from 46.3% to 39.4% and 36.3% (p-value <0.001) during the same period. The reduction of the smoking indicators was observed mainly among women than in men. Conclusion. There is evidence of a sustained reduction in smoking indicators in Peruvian adolescents. Passive smoking outside the household continues to be common, calling for strengthening current tobacco control policies.

RESUMEN Objetivo. El objetivo del presente estudio fue evaluar las tendencias ocurridas en diferentes indicadores de tabaquismo en adolescentes peruanos. Asimismo, se evaluó las tendencias en dichos indicadores de acuerdo a sexo y en aquellos sin antecedente de tabaquismo previo. Materiales y métodos. El presente estudio usa la Encuesta Mundial sobre Tabaquismo en Jóvenes (Global Youth Tobacco Survey 2007, 2014, 2019). Tabaquismo activo se definió según el consumo de tabaco en los últimos 30 días. Tabaquismo pasivo se definió en función a exposición a tabaco dentro y fuera del hogar, tanto global como en forma diaria. Los análisis consideraron el diseño muestral. Resultados. Un total de 17 047 registros (9869 en el 2007, 3424 en el 2014, y 3754 en el 2019) fueron analizados; edad media 14 años y 49,9% mujeres. El 26,6% reportó antecedente de tabaquismo previo; dicha prevalencia cayó de 45,2% (2007), a 25,3% (2014), y a 19,4% (2019, p de tendencias < 0,001), mientras que el tabaquismo activo cayó de 17,1% (2007) a 8,7% (2014) y a 5,7% (2019). La prevalencia global de tabaquismo pasivo en el hogar cayó de 24,7%, a 12,9% y a 10,4% (p de tendencias <0,001), mientras que la prevalencia global de tabaquismo pasivo fuera del hogar se redujo de 46,3%, a 39,4%, y a 36,3% (p < 0,001) en ese lapso. La caída en los indicadores de tabaquismo se vio principalmente en mujeres que en varones. Conclusión. Se evidencia una reducción sostenida en los indicadores de tabaquismo en adolescentes peruanos. El tabaquismo pasivo fuera del hogar continúa siendo frecuente requiriendo el fortalecimiento de las actuales políticas de control de tabaco.

ABSTRACT Objective. To determine if there is an association between type 2 diabetes mellitus (T2DM) and some sleep characteristics: duration, sleep difficulties and quality, in a population aged between 30 and 69 years in Tumbes. Materials and methods. Cross-sectional study. The outcomes were sleep difficulty (sometimes/ almost never vs. frequently), sleep duration (normal, short, and long), and sleep quality (good and bad). The exposure of interest was the presence of T2DM assessed using the glucose tolerance test (without T2DM, with T2DM but without previous diagnosis, and with T2DM and with previous diagnosis). Poisson regression models were used to report prevalence ratio (PR) and 95% confidence intervals (95%CI). Results. A total of 1604 subjects were analyzed and the mean age was 48.2 years; 50.3% were women, 71 (4.4%) had T2DM without a previous diagnosis, and 105 (6.5%) had T2DM with a previous diagnosis. Regarding sleep characteristics, 12.0% had short sleep, 8.2% had long sleep, 3.7% had sleep difficulties, and 19.5% presented poor sleep quality. In a multivariable model, T2DM with previous diagnosis was associated with sleep difficulty (PR= 2.20; 95%CI: 1.13 - 4.27) and bad sleep quality (PR= 1.40; 95%CI: 1.05 - 1.92) compared to those without T2DM. Conclusions. Individuals with previous diagnosis of T2DM had greater probability of presenting sleep difficulties and poor sleep quality. These results suggest the need to evaluate periodically the sleep characteristics of patients with T2DM.

RESUMEN Objetivo. Determinar si existe asociación entre la presencia de diabetes mellitus tipo 2 (DM2) y la duración, dificultad para dormir, y calidad de sueño, en sujetos de 30 a 69 años en Tumbes. Materiales y métodos. Estudio transversal analítico. Las variables dependientes fueron dificultad para dormir (a veces/casi nunca y frecuentemente), duración del sueño (normal, corto y prolongado) y calidad del sueño (buena y mala). La variable independiente fue la presencia de DM2 evaluada usando la prueba de tolerancia oral a la glucosa (no DM2, con DM2 y sin diagnóstico previo, y con DM2 y diagnóstico previo). Se usó modelos de regresión de Poisson para reportar razones de prevalencia (RP) e intervalos de confianza al 95% (IC 95%). Resultados. Se analizaron 1604 individuos, con una edad media de 48,2 años; 50,3% fueron mujeres; 71 (4,4%) tenían DM2 sin diagnóstico previo y 105 (6,5%) tenían DM2 con diagnóstico previo. Según las características del sueño, 12,0% presentó sueño corto y 8,2% presentó sueño prolongado; 3,7% reportó dificultad para dormir, y 19,5% tuvo mala calidad de sueño. En el modelo multivariable, tener DM2 con diagnóstico previo estuvo asociado con dificultad para dormir (RP = 2,20; IC 95%: 1,13-4,27) y mala calidad de sueño (RP = 1,40; IC 95%: 1,05-1,92) comparado con aquellos sin DM2. Conclusiones. Los individuos con DM2 que tenían diagnóstico previo tuvieron mayor probabilidad de presentar dificultad para dormir y mala calidad de sueño. Nuestros resultados sugieren la necesidad de evaluar en forma periódica las características del sueño en pacientes con DM2.

ABSTRACT Objective. To determine if there is an association between type 2 diabetes mellitus (T2DM) and some sleep characteristics: duration, sleep difficulties and quality, in a population aged between 30 and 69 years in Tumbes. Materials and methods. Cross-sectional study. The outcomes were sleep difficulty (sometimes/ almost never vs. frequently), sleep duration (normal, short, and long), and sleep quality (good and bad). The exposure of interest was the presence of T2DM assessed using the glucose tolerance test (without T2DM, with T2DM but without previous diagnosis, and with T2DM and with previous diagnosis). Poisson regression models were used to report prevalence ratio (PR) and 95% confidence intervals (95%CI). Results. A total of 1604 subjects were analyzed and the mean age was 48.2 years; 50.3% were women, 71 (4.4%) had T2DM without a previous diagnosis, and 105 (6.5%) had T2DM with a previous diagnosis. Regarding sleep characteristics, 12.0% had short sleep, 8.2% had long sleep, 3.7% had sleep difficulties, and 19.5% presented poor sleep quality. In a multivariable model, T2DM with previous diagnosis was associated with sleep difficulty (PR= 2.20; 95%CI: 1.13 - 4.27) and bad sleep quality (PR= 1.40; 95%CI: 1.05 - 1.92) compared to those without T2DM. Conclusions. Individuals with previous diagnosis of T2DM had greater probability of presenting sleep difficulties and poor sleep quality. These results suggest the need to evaluate periodically the sleep characteristics of patients with T2DM.

RESUMEN Objetivo. Determinar si existe asociación entre la presencia de diabetes mellitus tipo 2 (DM2) y la duración, dificultad para dormir, y calidad de sueño, en sujetos de 30 a 69 años en Tumbes. Materiales y métodos. Estudio transversal analítico. Las variables dependientes fueron dificultad para dormir (a veces/casi nunca y frecuentemente), duración del sueño (normal, corto y prolongado) y calidad del sueño (buena y mala). La variable independiente fue la presencia de DM2 evaluada usando la prueba de tolerancia oral a la glucosa (no DM2, con DM2 y sin diagnóstico previo, y con DM2 y diagnóstico previo). Se usó modelos de regresión de Poisson para reportar razones de prevalencia (RP) e intervalos de confianza al 95% (IC 95%). Resultados. Se analizaron 1604 individuos, con una edad media de 48,2 años; 50,3% fueron mujeres; 71 (4,4%) tenían DM2 sin diagnóstico previo y 105 (6,5%) tenían DM2 con diagnóstico previo. Según las características del sueño, 12,0% presentó sueño corto y 8,2% presentó sueño prolongado; 3,7% reportó dificultad para dormir, y 19,5% tuvo mala calidad de sueño. En el modelo multivariable, tener DM2 con diagnóstico previo estuvo asociado con dificultad para dormir (RP = 2,20; IC 95%: 1,13-4,27) y mala calidad de sueño (RP = 1,40; IC 95%: 1,05-1,92) comparado con aquellos sin DM2. Conclusiones. Los individuos con DM2 que tenían diagnóstico previo tuvieron mayor probabilidad de presentar dificultad para dormir y mala calidad de sueño. Nuestros resultados sugieren la necesidad de evaluar en forma periódica las características del sueño en pacientes con DM2.

ABSTRACT OBJECTIVE To assess the longitudinal effect of double burden of malnutrition (DBM) on the risk of developing child and adolescent overweight or obesity. METHODS Analysis of the Peruvian Young Lives Study, younger cohort: baseline (2002) and 4 follow-ups (2006–2007, 2009–2010, 2013–2014, and 2016–2017). Outcomes were the incidence of overweight and obesity as defined by the World Health Organization standards. The exposure comprised a variable with 4 categories: non-stunted child with a non-overweight mother (reference group), non-stunted child with an overweight mother, stunted child with a non-overweight mother, and stunted child with an overweight mother (i.e., DBM). Poisson regression models were built to assess the association of interest, and relative risks (RR) and 95%CI were reported. RESULTS Data from 2,034 children; 50.0% were girls and the mean age was 12.0 (3.6) months at baseline. Non-stunted children with an overweight mother had greater risk (RR = 1.64; 95%CI: 1.35–1.99) of developing overweight, compared with the risk for stunted children with a non-overweight mother (RR = 1.38; 95%CI: 1.10–1.72), and for those with DBM (RR = 1.28; 95%CI: 1.02–1.61). When compared with the reference group, obesity risk was greater among non-stunted children with an overweight mother (RR = 2.33; 95%CI: 1.68–3.22), greater among stunted children with a non-overweight mother (RR = 2.59; 95%CI: 1.75–3.84), and greater among those with DBM (RR = 2.14; 95%CI: 1.39–3.28). CONCLUSIONS DBM is a risk factor for childhood overweight and obesity in Peru. Dual-duty policies tackling both undernutrition in children and overweight in mothers are needed to reduce DBM and its future effects in Peru.

ABSTRACT OBJECTIVE To assess the longitudinal effect of double burden of malnutrition (DBM) on the risk of developing child and adolescent overweight or obesity. METHODS Analysis of the Peruvian Young Lives Study, younger cohort: baseline (2002) and 4 follow-ups (2006–2007, 2009–2010, 2013–2014, and 2016–2017). Outcomes were the incidence of overweight and obesity as defined by the World Health Organization standards. The exposure comprised a variable with 4 categories: non-stunted child with a non-overweight mother (reference group), non-stunted child with an overweight mother, stunted child with a non-overweight mother, and stunted child with an overweight mother (i.e., DBM). Poisson regression models were built to assess the association of interest, and relative risks (RR) and 95%CI were reported. RESULTS Data from 2,034 children; 50.0% were girls and the mean age was 12.0 (3.6) months at baseline. Non-stunted children with an overweight mother had greater risk (RR = 1.64; 95%CI: 1.35–1.99) of developing overweight, compared with the risk for stunted children with a non-overweight mother (RR = 1.38; 95%CI: 1.10–1.72), and for those with DBM (RR = 1.28; 95%CI: 1.02–1.61). When compared with the reference group, obesity risk was greater among non-stunted children with an overweight mother (RR = 2.33; 95%CI: 1.68–3.22), greater among stunted children with a non-overweight mother (RR = 2.59; 95%CI: 1.75–3.84), and greater among those with DBM (RR = 2.14; 95%CI: 1.39–3.28). CONCLUSIONS DBM is a risk factor for childhood overweight and obesity in Peru. Dual-duty policies tackling both undernutrition in children and overweight in mothers are needed to reduce DBM and its future effects in Peru.

ABSTRACT OBJECTIVE To determine the association between socioeconomic level and the presence of obesity, hypertension and type 2 diabetes mellitus in the Peruvian population. METHODS Secondary analysis of data from the National Demographic and Family Health Survey ( Encuesta Nacional Demográfica y de Salud Familiar , Endes) from 2018 to 2020. The outcomes were obesity, hypertension, and type 2 diabetes mellitus. The exposure variables were two indicators of socioeconomic status: educational level (< 7 years, 7–11 years, and 12+ years) and wealth index (in tertiles). Models were created using Poisson regression, reporting prevalence ratios (PR) and 95% confidence intervals (95%CI). RESULTS Data from 98,846 subjects were analyzed. Mean age: 45.3 (SD: 16.0) years, and 55.5% were women. The prevalence of obesity was 26.0% (95%CI: 25.4–26.6); of hypertension, 24.9% (95%CI: 24.3–25.5); and of type 2 diabetes mellitus, 4.8% (95%CI: 4.5–5.1). In multivariate model, and compared with those with a low wealth index, those with a high wealth index had a higher prevalence of obesity (PR = 1.49; 95%CI: 1.38–1.62), hypertension (PR = 1.09; 95%CI: 1.02–1.17) and type 2 diabetes mellitus (PR = 1.72; 95%CI: 1.29–2.29). On the other hand, higher educational level was only associated with a reduction in the prevalence of obesity (PR = 0.89; 95%CI: 0.84–0.95). CONCLUSIONS There is a differential association between the wealth index, educational level and markers of noncommunicable diseases. There is evidence of a positive association between wealth index and obesity, hypertension and type 2 diabetes mellitus, whereas educational level was only negatively associated with obesity.

RESUMEN OBJETIVO Determinar la asociación entre el nivel socioeconómico y la presencia de obesidad, hipertensión y diabetes mellitus tipo 2 en la población peruana. MÉTODOS Análisis de datos secundarios de la Encuesta Nacional Demográfica y de Salud Familiar (Endes) del 2018 al 2020. Las variables dependientes fueron obesidad, hipertensión y diabetes mellitus tipo 2, y las variables independientes fueron dos indicadores de nivel socioeconómico: el nivel educativo (< 7 años, 7–11 años y 12+ años) y el índice de bienestar (en terciles). Se crearon modelos usando regresión de Poisson, reportando razones de prevalencia (RP) e intervalos de confianza al 95% (IC95%). RESULTADOS Se analizaron los datos de 98.846 sujetos, edad promedio: 45,3 (DE: 16,0) años, y 55,5% fueron mujeres. La prevalencia de obesidad fue del 26% (IC95% 25,4–26,6); la de hipertensión, 24,9% (IC95% 24,3–25,5); y la de diabetes mellitus tipo 2, 4,8% (IC95% 4,5–5,1). En modelo multivariable y comparado con los de índice de bienestar bajo, aquellos con índice de bienestar alto tenían mayor prevalencia de obesidad (RP = 1,49; IC95% 1,38–1,62), de hipertensión (RP = 1,09; IC95% 1,02–1,17) y de diabetes mellitus tipo 2 (RP = 1,72; IC95% 1,29–2,29). De otro lado, mayor nivel educativo sólo se asoció a una reducción en la prevalencia de obesidad (RP = 0,89; IC95% 0,84–0,95). CONCLUSIONES Existe asociación diferencial entre el índice de bienestar, nivel educativo y marcadores de enfermedades no transmisibles: hay evidencia de asociación positiva entre el índice de bienestar y obesidad, hipertensión y diabetes mellitus tipo 2, mientras que el nivel educativo solo estuvo asociado de forma negativa a obesidad.

RESUMEN OBJETIVO Determinar la asociación entre el nivel socioeconómico y la presencia de obesidad, hipertensión y diabetes mellitus tipo 2 en la población peruana. MÉTODOS Análisis de datos secundarios de la Encuesta Nacional Demográfica y de Salud Familiar (Endes) del 2018 al 2020. Las variables dependientes fueron obesidad, hipertensión y diabetes mellitus tipo 2, y las variables independientes fueron dos indicadores de nivel socioeconómico: el nivel educativo (< 7 años, 7–11 años y 12+ años) y el índice de bienestar (en terciles). Se crearon modelos usando regresión de Poisson, reportando razones de prevalencia (RP) e intervalos de confianza al 95% (IC95%). RESULTADOS Se analizaron los datos de 98.846 sujetos, edad promedio: 45,3 (DE: 16,0) años, y 55,5% fueron mujeres. La prevalencia de obesidad fue del 26% (IC95% 25,4–26,6); la de hipertensión, 24,9% (IC95% 24,3–25,5); y la de diabetes mellitus tipo 2, 4,8% (IC95% 4,5–5,1). En modelo multivariable y comparado con los de índice de bienestar bajo, aquellos con índice de bienestar alto tenían mayor prevalencia de obesidad (RP = 1,49; IC95% 1,38–1,62), de hipertensión (RP = 1,09; IC95% 1,02–1,17) y de diabetes mellitus tipo 2 (RP = 1,72; IC95% 1,29–2,29). De otro lado, mayor nivel educativo sólo se asoció a una reducción en la prevalencia de obesidad (RP = 0,89; IC95% 0,84–0,95). CONCLUSIONES Existe asociación diferencial entre el índice de bienestar, nivel educativo y marcadores de enfermedades no transmisibles: hay evidencia de asociación positiva entre el índice de bienestar y obesidad, hipertensión y diabetes mellitus tipo 2, mientras que el nivel educativo solo estuvo asociado de forma negativa a obesidad.

ABSTRACT OBJECTIVE To determine the association between socioeconomic level and the presence of obesity, hypertension and type 2 diabetes mellitus in the Peruvian population. METHODS Secondary analysis of data from the National Demographic and Family Health Survey ( Encuesta Nacional Demográfica y de Salud Familiar , Endes) from 2018 to 2020. The outcomes were obesity, hypertension, and type 2 diabetes mellitus. The exposure variables were two indicators of socioeconomic status: educational level (< 7 years, 7–11 years, and 12+ years) and wealth index (in tertiles). Models were created using Poisson regression, reporting prevalence ratios (PR) and 95% confidence intervals (95%CI). RESULTS Data from 98,846 subjects were analyzed. Mean age: 45.3 (SD: 16.0) years, and 55.5% were women. The prevalence of obesity was 26.0% (95%CI: 25.4–26.6); of hypertension, 24.9% (95%CI: 24.3–25.5); and of type 2 diabetes mellitus, 4.8% (95%CI: 4.5–5.1). In multivariate model, and compared with those with a low wealth index, those with a high wealth index had a higher prevalence of obesity (PR = 1.49; 95%CI: 1.38–1.62), hypertension (PR = 1.09; 95%CI: 1.02–1.17) and type 2 diabetes mellitus (PR = 1.72; 95%CI: 1.29–2.29). On the other hand, higher educational level was only associated with a reduction in the prevalence of obesity (PR = 0.89; 95%CI: 0.84–0.95). CONCLUSIONS There is a differential association between the wealth index, educational level and markers of noncommunicable diseases. There is evidence of a positive association between wealth index and obesity, hypertension and type 2 diabetes mellitus, whereas educational level was only negatively associated with obesity.

ABSTRACT Objective . To determine the prevalence and incidence of arterial hypertension, as well as the prevalence of previous diagnosis of arterial hypertension (self-reported) among the adult population of Peru. Materials and methods. Systematic review and meta-analysis of epidemiological studies available in LILACS, EMBASE, MEDLINE and Global Health. Studies were included if they followed a random sampling approach in adult population. Screening and assessment of manuscripts was carried out independently by two researchers. A random-effects meta-analysis was conducted to quantify the overall prevalence and incidence of hypertension. The Newcastle-Ottawa scale was used to assess the risk of bias in the manuscripts. Results. A total of 903 papers were screened, and only 15 were included in the estimation of hypertension prevalence, 8 in the assessment of previous hypertension diagnosis, and 4 for incidence estimations. The pooled prevalence of hypertension was 22.0% (95% CI: 20.0% - 25.0%; I2=99.2%). This estimate was lower in national studies [20.0% (95% CI: 17.0% - 22.0%; I2=99.4%] than in sub-national studies [24.0% (95% CI: 17.0% - 30.0%; I2=99.2%]. The pooled prevalence of previous hypertension diagnosis was 51.0% (95% CI: 43.0% - 59.0%; I2=99.9%). The pooled incidence of hypertension was 4.2 (95% CI: 2.0 - 6.4; I2=98.6%) per 100 person-years. The included studies did not present high risk of bias. Conclusions. Our findings show that one in five Peruvians has hypertension, and that four new cases appear per 100 persons per year; in addition, only half of the subjects with hypertension are previously diagnosed.

RESUMEN Objetivo. Determinar la prevalencia e incidencia de hipertensión arterial, y la prevalencia de diagnóstico previo de hipertensión arterial (autorreportado) en población general adulta del Perú. Materiales y métodos. Revisión sistemática y metaanálisis de estudios epidemiológicos disponibles en LILACS, EMBASE, MEDLINE y Global Health. Se incluyeron estudios que siguieron un muestreo aleatorio de la población general adulta. El tamizaje y estudio de los manuscritos fue realizado por dos investigadores de forma independientemente. Se hizo metaanálisis de efectos aleatorios para cuantificar la prevalencia e incidencia global. Los manuscritos fueron evaluados con la escala Newcastle-Ottawa para evaluar el riesgo de sesgo. Resultados. Se tamizaron 903 artículos, y se incluyeron 15 manuscritos para prevalencia, 8 para prevalencia de diagnóstico previo, y 4 para incidencia de hipertensión. El metaanálisis mostró una prevalencia agregada de hipertensión de 22,0% (IC 95%: 20,0% - 25,0%; I 2=99,2%). Esta prevalencia fue menor en estudios nacionales [20,0% (IC 95%: 17,0% - 22,0%; I 2 =99,4%] que en subnacionales [24,0% (IC 95%: 17,0% - 30,0%; I 2 =99,2%]. La prevalencia global de diagnóstico previo de hipertensión fue 51,0% (IC 95%: 43,0% - 59,0%; I 2=99,9%). La incidencia global fue de 4,2 (IC 95%: 2,0 - 6,4; I 2=98,6%) por cada 100 personas-año. Los manuscritos estudiados no presentaron alto riesgo de sesgo. Conclusiones. Nuestros hallazgos muestran que uno de cada cinco peruanos tiene hipertensión, y que aparecen cuatro nuevos casos por 100 personas en un año, además solo la mitad de los pacientes hipertensos tienen el diagnóstico previo de su condición.

ABSTRACT Objective . To determine the prevalence and incidence of arterial hypertension, as well as the prevalence of previous diagnosis of arterial hypertension (self-reported) among the adult population of Peru. Materials and methods. Systematic review and meta-analysis of epidemiological studies available in LILACS, EMBASE, MEDLINE and Global Health. Studies were included if they followed a random sampling approach in adult population. Screening and assessment of manuscripts was carried out independently by two researchers. A random-effects meta-analysis was conducted to quantify the overall prevalence and incidence of hypertension. The Newcastle-Ottawa scale was used to assess the risk of bias in the manuscripts. Results. A total of 903 papers were screened, and only 15 were included in the estimation of hypertension prevalence, 8 in the assessment of previous hypertension diagnosis, and 4 for incidence estimations. The pooled prevalence of hypertension was 22.0% (95% CI: 20.0% - 25.0%; I2=99.2%). This estimate was lower in national studies [20.0% (95% CI: 17.0% - 22.0%; I2=99.4%] than in sub-national studies [24.0% (95% CI: 17.0% - 30.0%; I2=99.2%]. The pooled prevalence of previous hypertension diagnosis was 51.0% (95% CI: 43.0% - 59.0%; I2=99.9%). The pooled incidence of hypertension was 4.2 (95% CI: 2.0 - 6.4; I2=98.6%) per 100 person-years. The included studies did not present high risk of bias. Conclusions. Our findings show that one in five Peruvians has hypertension, and that four new cases appear per 100 persons per year; in addition, only half of the subjects with hypertension are previously diagnosed.

RESUMEN Objetivo. Determinar la prevalencia e incidencia de hipertensión arterial, y la prevalencia de diagnóstico previo de hipertensión arterial (autorreportado) en población general adulta del Perú. Materiales y métodos. Revisión sistemática y metaanálisis de estudios epidemiológicos disponibles en LILACS, EMBASE, MEDLINE y Global Health. Se incluyeron estudios que siguieron un muestreo aleatorio de la población general adulta. El tamizaje y estudio de los manuscritos fue realizado por dos investigadores de forma independientemente. Se hizo metaanálisis de efectos aleatorios para cuantificar la prevalencia e incidencia global. Los manuscritos fueron evaluados con la escala Newcastle-Ottawa para evaluar el riesgo de sesgo. Resultados. Se tamizaron 903 artículos, y se incluyeron 15 manuscritos para prevalencia, 8 para prevalencia de diagnóstico previo, y 4 para incidencia de hipertensión. El metaanálisis mostró una prevalencia agregada de hipertensión de 22,0% (IC 95%: 20,0% - 25,0%; I 2=99,2%). Esta prevalencia fue menor en estudios nacionales [20,0% (IC 95%: 17,0% - 22,0%; I 2 =99,4%] que en subnacionales [24,0% (IC 95%: 17,0% - 30,0%; I 2 =99,2%]. La prevalencia global de diagnóstico previo de hipertensión fue 51,0% (IC 95%: 43,0% - 59,0%; I 2=99,9%). La incidencia global fue de 4,2 (IC 95%: 2,0 - 6,4; I 2=98,6%) por cada 100 personas-año. Los manuscritos estudiados no presentaron alto riesgo de sesgo. Conclusiones. Nuestros hallazgos muestran que uno de cada cinco peruanos tiene hipertensión, y que aparecen cuatro nuevos casos por 100 personas en un año, además solo la mitad de los pacientes hipertensos tienen el diagnóstico previo de su condición.