Stress factors and food purchase prioritization during the pandemic of coronavirus disease 2019.

BACKGROUND: The pandemic of coronavirus disease 2019 (COVID-19) pandemic confinement has an impact on stress levels, which causes changes in food purchase and consumption behaviors. The objective of this study is to associate food purchase prioritization with stress level during the COVID-19 pandemic confinement. METHODS: Multicenter, observational and cross-sectional study, an online questionnaire that included data on sociodemographic variables, stress factors and food purchase prioritization was disseminated through digital platforms and social networks. RESULTS: A number of 6357 participants were included, of whom 83.6% were female, 56.3% were from the middle socioeconomic level, 71.2% had completed higher education and 78.3% had a job. At greater stress levels it was observed a higher prioritization of canned foods (Odds ratio (OR): 1.91, 95% CI: 1.56; 2.34), sweets (OR: 1.58, 95% CI: 1.06; 2.34) and flours (OR: 1.45, 95% CI: 1.25; 1.68). While lower stress levels are associated with nuts (OR: 0.75, 95% CI: 0.66; 0.85), vegetables (OR: 0.82, 95% CI: 0.72; 0.94), and fruits (OR: 0.90, 95% CI: 0.80; 1.01), after adjusting for confounders. CONCLUSIONS: There is an association between food purchase prioritization and stress level during the COVID-19 confinement. At greater stress levels, individuals purchase more food, both healthy and unhealthy. The later may have a negative impact on people's health, leading to or further aggravating malnutrition by excess and nutrition-related noncommunicable diseases.

Food insecurity and sociodemographic factors in Latin America during the COVID-19 pandemic.

Objective: To understand the association of food insecurity with sociodemographic factors in a sample population in Latin America during the COVID-19 pandemic. Methods: This was a multicenter cross-sectional study conducted in 10 countries in Latin America using an online survey through various digital platforms from October 14, 2020 to February 15, 2021. Statistical analysis of data was performed by applying descriptive statistics, chi-square test, and logistic regression analysis. Results: Of a total of 6 357 surveys, 58.2% of respondents experienced food security, 29.3% were slightly food insecure, 9.2% were moderately food insecure, and 3.3% were severely food insecure. Concerning the association food insecurity and sociodemographic variables, there is a significant association in the variables studied, including area of residence, education level, occupation, number of persons in the household, household with children younger than 10 years of age, and socioeconomic level. Conclusions: These findings indicate that sociodemographic factors associated with food insecurity during the COVID-19 pandemic in Latin America were rural residence; complete and incomplete basic and secondary schooling; occupation (homemaker, unemployed, and self-employed); low, medium-low, and medium socioeconomic level; household with more than four persons; and household with children younger than 10 years of age.

Food insecurity and sociodemographic factors in Latin America during the COVID-19 pandemic / Inseguridad alimentaria y factores sociodemográficos en América Latina durante la pandemia de COVID-19 / Insegurança alimentar e fatores sociodemográficos na América Latina durante a pandemia de COVID-19

[ABSTRACT]. Objective. To understand the association of food insecurity with sociodemographic factors in a sample popu- lation in Latin America during the COVID-19 pandemic. Methods. This was a multicenter cross-sectional study conducted in 10 countries in Latin America using an online survey through various digital platforms from October 14, 2020 to February 15, 2021. Statistical analysis of data was performed by applying descriptive statistics, chi-square test, and logistic regression analysis. Results. Of a total of 6 357 surveys, 58.2% of respondents experienced food security, 29.3% were slightly food insecure, 9.2% were moderately food insecure, and 3.3% were severely food insecure. Concerning the association food insecurity and sociodemographic variables, there is a significant association in the variables studied, including area of residence, education level, occupation, number of persons in the household, house- hold with children younger than 10 years of age, and socioeconomic level. Conclusions. These findings indicate that sociodemographic factors associated with food insecurity during the COVID-19 pandemic in Latin America were rural residence; complete and incomplete basic and secondary schooling; occupation (homemaker, unemployed, and self-employed); low, medium-low, and medium socioeco- nomic level; household with more than four persons; and household with children younger than 10 years of age.

[RESUMEN]. Objetivo. Determinar la asociación de la inseguridad alimentaria con factores sociodemográficos en una muestra de población de América Latina durante la pandemia de COVID-19. Métodos. Se llevó a cabo un estudio transversal multicéntrico en diez países de América Latina mediante una encuesta en línea a través de diversas plataformas digitales, entre el 14 de octubre del 2020 y el 15 de febrero del 2021. Se realizó un análisis estadístico de los datos usando procedimientos de estadística descriptiva, la prueba ji al cuadrado y un análisis de regresión logística. Resultados. En un total de 6 357 encuestas, el 58,2% de las personas encuestadas gozaba de seguridad ali- mentaria, el 29,3% tenía una inseguridad alimentaria leve, el 9,2% una inseguridad alimentaria moderada y el 3,3% una inseguridad alimentaria grave. Por lo que respecta a la asociación entre la inseguridad alimentaria y las variables sociodemográficas, hay una asociación significativa para algunas de las variables estudiadas, como la zona de residencia, el nivel de estudios, la actividad laboral, el número de personas en el hogar, el hogar con menores de 10 años y el nivel socioeconómico. Conclusiones. Estos resultados indican que los factores sociodemográficos asociados a la inseguridad alimentaria durante la pandemia de COVID-19 en América Latina fueron la residencia en zonas rurales; la edu- cación primaria y secundaria completa o no; la actividad laboral (trabajo doméstico, personas desempleadas y trabajadores autónomos); el nivel socioeconómico bajo, medio bajo, y medio; el hogar con más de cuatro personas; y el hogar con menores de 10 años.

[RESUMO]. Objetivo. Compreender a relação entre insegurança alimentar e fatores sociodemográficos em uma amostra populacional da América Latina durante a pandemia de COVID-19. Métodos. Estudo transversal multicêntrico realizado em 10 países da América Latina por meio de uma pesquisa on-line conduzida em diferentes plataformas digitais de 14 de outubro de 2020 a 15 de fevereiro de 2021. A análise estatística dos dados foi realizada por meio da aplicação de estatísticas descritivas, teste qui-quadrado e análise de regressão logística. Resultados. De um total de 6 357 questionários, 58,2% dos entrevistados afirmaram ter segurança alimentar, 29,3% indicaram um nível de insegurança alimentar leve, 9,2% tinham insegurança alimentar moderada e 3,3%, insegurança alimentar grave. No que diz respeito à relação entre insegurança alimentar e variáveis sociodemográficas, há uma relação significativa com as variáveis estudadas, incluindo área de residência, nível de escolaridade, ocupação, número de pessoas no domicílio, domicílio com crianças com menos de 10 anos de idade e nível socioeconômico. Conclusões. Os achados apontam que os fatores sociodemográficos associados à insegurança alimentar durante a pandemia de COVID-19 na América Latina foram residência em zona rural; ensino fundamental e médio completo e incompleto; ocupação (do lar, desempregado(a) e autônomo(a)); nível socioeconômico baixo, médio-baixo e médio; domicílio com mais de quatro pessoas; e domicílio com crianças menores de 10 anos de idade.

Confinamiento e inseguridad alimentaria durante la pandemia por covid-19 en Chile

RESUMEN Introducción: El confinamiento por COVID-19, repercute en la situación socioeconómica, de salud y de seguridad alimentaria especialmente en población vulnerable, debido a la reducción de empleos, ingreso y acceso a los alimentos. Objetivo: Determinar la inseguridad alimentaria y la priorización de la compra de alimentos en hogares en situación de confinamiento, durante la pandemia por COVID-19 en Chile. Material y métodos: Estudio observacional analítico. Se envió cuestionario online a través de redes sociales, que incluía información sociodemográfica, prioridad de compra de algunos alimentos seleccionados, pérdida de alimentos en el hogar y una escala de seguridad alimentaria doméstica. Resultados: Participaron 1.114 personas, de ellos el 87,8% eran mujeres, el 80,9% de los participantes llevaba 4 o más semanas de confinamiento. A medida que aumentan las semanas de confinamiento, se incrementa la inseguridad alimentaria leve 26,9% a 36,1% y moderada, 1,7% a 7,8% y se disminuye la seguridad alimentaria 70,6% a 55,7%. Entre el 49,2% y 55,5% de los participantes, en la quinta semana de confinamiento priorización lácteos, arroz/pasta, harina, legumbres, aceite, papas y un 27,0% el azúcar/miel. No se priorizaron los alimentos frescos como las frutas y verduras (FV). Conclusión: El confinamiento genera un aumento progresivo de la inseguridad alimentaria leve y moderada. La priorización de compra en confinamiento se caracteriza por, alimentos con más tiempo de conservación, de mayor consumo, fáciles de preparar y que son ingredientes básicos de otras preparaciones. Alimentos frescos, como frutas y verduras no fueron priorizados. La priorización se relacionó con el nivel educativo.

ABSTRACT Introduction: COVID-19 lockdown affects socioeconomics, health and food security, especially in a vulnerable population, due to the reduction of jobs, income and access to food. Objective: To determine food insecurity and prioritization of food purchases in household in lockdown during the COVID-19 pandemic in Chile. Material and methods: Observational analytical study. An online questionnaire was sent through social networks, which included socio-demographic information, priority of purchase of selected foods, less food at home and a scale of household food security. Results: 1,114 people participated, 87.8% of them were women, 80.9% of the participants had been in quarantine for 4 or more weeks. As the weeks of quarantine increased, mild food insecurity increased from 26.9% to 36.1% and moderate from 1.7% to 7.8%. Food security decreased from 70.6% to 55.7%. Between 49.2% and 55.5% of the participants, in the fifth week of confinement, prioritized dairy, rice/pasta, flour, legumes, oil, potatoes and 27.0% sugar/honey. Fresh foods such as fruits and vegetables were not prioritized. Conclusion: Lockdown generated a progressive increase in mild and moderate food insecurity. The prioritization of purchase in lockdown was characterized by foods with a longer shelf life, more consumption, easy to prepare meals and foods which are basic ingredients of other preparations. Fresh foods like fruits and vegetables were not prioritized. Prioritization was related to educational level.

Metabolic health and its association with lifestyle habits according to nutritional status in Chile: A cross-sectional study from the National Health Survey 2016-2017.

BACKGROUND: Lifestyle habits associate with metabolic health in overall populations. Whether such association is similar among subjects with a different nutritional status has been less studied. We aimed to (i) determine the prevalence of metabolic phenotypes in Chile, and (ii) determine the association between lifestyle habits and metabolic health according to the nutritional status. METHODS: The National Health Survey of Chile 2016-2017 was analyzed. A metabolically unhealthy phenotype was defined as manifesting ≥3 of the following risk factors: elevated blood pressure, elevated triglycerides, elevated glucose, elevated waist circumference, or reduced high-density lipoprotein cholesterol. Individuals manifesting <2 risk factors were considered as healthy. The nutritional status was defined as normal weight (18.5 to <25 kg/m2), overweight (25 to <30 kg/m2) or obesity (≥30 kg/m2). Questionnaires were used to estimate smoking habits, alcohol intake, sedentary behavior, moderate-vigorous physical activity, fruits/vegetables consumption, and fish/seafood consumption. The association (odds ratio [95%CI]) between lifestyle habits and metabolic health was determined within each nutritional status, adjusting for age, sex, BMI (in kg/m2), and education. RESULTS: The prevalence of a metabolically unhealthy phenotype was 36% in the overall sample. Such a prevalence was 7%, 33% and 58% among subjects with normal weight, overweight and obesity, respectively. In subjects with normal weight, the highest quartile of fruits/vegetables consumption was associated with reduced odds of having a metabolically unhealthy phenotype (0.09 [0.01-0.48]). In subjects with obesity, the highest quartile of moderate-vigorous physical activity was associated with reduced odds of having a metabolically unhealthy phenotype (0.29 [0.09-0.91]). CONCLUSION: One third of the Chilean population manifests an unhealthy phenotype. We identified associations between lifestyle habits and metabolic health that are specific to the nutritional status. Thus, emphasizing fruits/vegetables consumption in subjects with normal weight, and physical activity in subjects with obesity, may maximize the benefits of public health interventions.