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1.
BMJ Nutr Prev Health ; 5(1): 87-97, 2022.
Article in English | MEDLINE | ID: covidwho-1854326

ABSTRACT

Objective: The objective of this study is to assess changes in the dimensions of the food system and consumption associated with body weight variations during the first month's lockdown in Peruvian adults in Metropolitan Lima. Methods: A cross-sectional study conducted during the first months of lockdowns in Peru. 694 adults completed a web-based survey about changes experienced in the process of acquiring food during lockdown, changes in their intake and self-perceived body weight. A multinomial logistic regression analysis was conducted to evaluate the factors associated with changes in body weight. Results: Weight gain was perceived in 38% of the participants and 22.8% perceived weight loss. 39.2% did not perceive changes in their weight. Risk factors for body weight gain were increased alcohol consumption (OR=4.510, 95% CI 1.764 to 11.531) and decreased fruit consumption (OR=2.129, 95% CI 1.290 to 3.515), while decreasing cereal intake (OR=0.498, 95% CI 0.269 to 0.922) and choosing nutritious food as a driver for purchase (OR=0.512, 95% CI 0.320 to 0.821) were found to be protective against gaining weight. Decreasing food intake during the pandemic (OR=2.188, 95% CI 1.348 to 3.550) and having to miss important foods (OR=2.354, 95% CI 1.393 to 3.978), were associated with weight loss. Conclusions: During confinement, weight gain was mostly associated with food consumption and personal food system factors. Meanwhile, weight loss was associated with external food system factors.

2.
Rev Peru Med Exp Salud Publica ; 39(1): 6-14, 2022.
Article in Spanish, English | MEDLINE | ID: covidwho-1818849

ABSTRACT

OBJECTIVES.: To evaluate and compare the macronutrient distribution of the food baskets delivered by Peruvian municipalities during the COVID-19 pandemic according to the geographic domain and assigned budget level. MATERIALS AND METHODS.: Secondary analysis of the database "Consultation of Acquisition and distribution of basic necessities of the basic family basket" of the General Comptroller of the Republic. Stratified probability sampling was carried out. The caloric intake distribution was calculated according to macronutrients and compared with the Acceptable Intervals of Macronutrient Distribution (IADM) of the Nutrition Institute of Central America and Panama (INCAP) and the National Institute of Civil Defense (INDECI). RESULTS.: At the national level, the median caloric intake of proteins was 7.7%; for carbohydrates it was 62.5%; and for fats it was 28.1%. The proportion of municipalities with protein deficit was 84%; Municipalities with excess carbohydrates ranged from 16.5% (according to INCAP) to 35.9% (according to INDECI), and with excess fat, it was between 61.6% (according to INCAP) and 20.2% (according to INDECI). According to INDECI, nationally only 9.2% of municipalities delivered baskets with an adequate distribution of macronutrients; Metropolitan Lima stands out with the highest proportions of adequate baskets, while in the Jungle region this percentage was less than 5%. CONCLUSIONS.: Most of the baskets delivered did not have adequate macronutrient distribution. Especially the baskets of municipalities outside of Metropolitan Lima or those that had smaller budget. Carbohydrates and fats were the nutrients that were included in excess, while proteins were deficient.


OBJETIVOS.: Evaluar y comparar la distribución de macronutrientes de las canastas alimentarias entregadas por las municipalidades peruanas durante la pandemia de COVID-19 según dominio geográfico y nivel de presupuesto asignado. MATERIALES Y MÉTODOS.: Análisis secundario de la base de datos «Consulta de adquisición y distribución de bienes de primera necesidad de la canasta básica familiar¼ de la Contraloría General de la República. Se realizó un muestreo probabilístico estratificado. Se calculó la distribución del aporte calórico según macronutrientes y se comparó con los intervalos aceptables de distribución de macronutrientes (IADM) del Instituto de Nutrición de Centro América y Panamá (INCAP) y del Instituto Nacional de Defensa Civil (INDECI). RESULTADOS.: A nivel nacional la mediana del aporte calórico de las proteínas fue 7,7%; carbohidratos 62,5%, y grasas 28,1%. La proporción de municipalidades con canastas con déficit de proteínas fue de 84%. Las municipalidades con canastas con exceso de carbohidratos variaron de 16,5% (según INCAP) a 35,9% (según INDECI) y con exceso de grasas fue 61,6 % (según INCAP) y 20,2% (según INDECI). Según INDECI, a nivel nacional solo el 9,2% de municipalidades entregaron canastas con distribución adecuada de macronutrientes, aquí destaca Lima Metropolitana con las proporciones más altas; mientras que en la selva este porcentaje fue menor del 5%. CONCLUSIONES.: La mayoría de las canastas entregadas no tuvieron distribución adecuada de macronutrientes, en especial las canastas de municipalidades fuera de Lima Metropolitana o las que contaban con menor presupuesto. Los carbohidratos y las grasas fueron los nutrientes que se incluyeron en exceso, mientras que las proteínas tuvieron déficit.


Subject(s)
COVID-19 , COVID-19/epidemiology , Carbohydrates , Cities , Diet , Dietary Fats , Humans , Nutrients/analysis , Pandemics , Peru/epidemiology
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