A U-shaped protection of altitude against mortality and infection of COVID-19 in Peru: An ecological study

Background The COVID-19 pandemic has affected the world in multiple ways and has been a challenge for the health systems of each country. From the beginning, risk factors for the severity and mortality of the disease were considered, as the spread of the virus was related to the living conditions of each population. Methods In this ecological study we have evaluated the role of geography, precisely the altitude above sea level in the incidence and mortality of COVID-19 in Peru. Incidence and mortality data were taken from the open-access database of the government of Peru until March 2021. COVID-19 cases and COVID-19 mortality were treated as cases/density population and 1000 x cases/inhabitants while altitude was treated as continuous and as a categorical variable divided in 7 categories. The relationship between COVID-19 cases or deaths for COVID-19 and altitude as continuous variable was determined using Spearman correlation test. Meanwhile when altitude was considered as a categorical variable, Poisson regression or negative binomial analyses were applied. Results A significant inverse correlation was found between COVID-19 cases by population density and altitude (r=-0.37 p < 0.001). By altitude categories, the lowest risk for infection was observed between 3,000 and 3,500 m (IRR 0.08; 95% CI 0.05,0.12). Moreover, we found an inverse correlation between altitude and COVID-19 mortality (r=-0.39 p < 0.001). Also, the lowest risk for mortality was observed between 3,000 and 3,500 m (IRR 0.12; 95%CI 0.08; 0.18). Similar results were found when analyses were adjusted for inhabitants and stratified by sex. Conclusion This study reports an inverse relationship between COVID-19 incidence and mortality with respect to the altitude of residence, particularly, a u-shaped protection is shown, with a highest benefit between 3000 and 3500 m. The possibility of using hypoxia as an alternative treatment requires more complex studies that should allow knowing the physiological and environmental mechanisms of the protective role

The risk of incident depression when assessed with the Lifestyle and Well-Being Index.

OBJECTIVES Novel findings indicate links between unhealthy lifestyles and depression based on active inflammatory processes. Thus, identifying participants with poor habits could reveal differences in trends of incident depression. This study aimed to examine the association between an objective lifestyle assessment, as measured by the Lifestyle and Well-Being Index (LWB-I), and incident depression in healthy participants of a Spanish cohort. STUDY DESIGN This was a longitudinal analysis of a subsample of 10,063 participants from the Seguimiento Universidad de Navarra cohort study. METHODS Group comparisons and Cox proportional hazard models were conducted using the LWB-I, which categorizes the sample into groups with healthy and unhealthy lifestyles and well-being. The main outcome was incident depression as well as secondary outcomes. RESULTS Those classified to the transition category of LWB-I were associated with a hazard ratio of 0.67 (95% confidence interval: 0.52-0.87), and those in the excellent category showed a hazard ratio of 0.44 (95% confidence interval: 0.33-0.58), which in both groups reflects a significantly lower risk of incident depression compared with the group including those classified in the poor LWB-I level. Moreover, the available sensitivity analyses concerning time of depression diagnosis or antidepressant treatment further supported the role of nutrition and physical activity on incident depression. Interestingly, throughout the follow-up, incident depression was inversely related to healthier daily habits as measured by the LWB-I. CONCLUSIONS A global assessment of lifestyles such as the LWB-I provides valuable insight into the complex relationship between lifestyle factors and their link to depression risk

Forecasting levels of serum 25-hydroxyvitamin D based on dietary intake, lifestyle and personal determinants in a sample of Southern Europeans

Vitamin D is an essential nutrient to be consumed in the habitual dietary intake, whose deficiency is associated with various disturbances. This study represents a validation of vitamin D status estimation using a semi-quantitative FFQ, together with data from additional physical activity and lifestyle questionnaires. This information was combined to forecast the serum vitamin D status. Different statistical methods were applied to estimate the vitamin D status using predictors based on diet and lifestyle. Serum vitamin D was predicted using linear regression (with leave-one-out cross-validation) and random forest models. Intraclass correlation coefficients, Lin’s agreement coefficients, Bland–Altman plots and other methods were used to assess the accuracy of the predicted v. observed serum values. Data were collected in Spain. A total of 220 healthy volunteers aged between 18 and 78 years were included in this study. They completed validated questionnaires and agreed to provide blood samples to measure serum 25-hydroxyvitamin D (25(OH)D) levels. The common final predictors in both models were age, sex, sunlight exposure, vitamin D dietary intake (as assessed by the FFQ), BMI, time spent walking, physical activity and skin reaction after sun exposure. The intraclass correlation coefficient for the prediction was 0·60 (95 % CI: 0·52, 0·67; P &lt; 0·001) using the random forest model. The magnitude of the correlation was moderate, which means that our estimation could be useful in future epidemiological studies to establish a link between the predicted 25(OH)D values and the occurrence of several clinical outcomes in larger cohorts

Association between the nutrient profile system underpinning the Nutri-Score front-of-pack nutrition label and mortality in the SUN project: A prospective cohort study

Background & aims Front-of-pack nutrition labelling is a key public health policy that can be adopted as part of a comprehensive set of measures to promote healthy diets. The Nutri-Score, a five-colour summary label based on a modified version of the British Food Standards Agency Nutrient Profiling System (FSAm-NPS), is being considered for implementation in several European countries including Spain. This study aimed to prospectively assess the association between the FSAm-NPS and mortality rate in a Spanish cohort of university graduates. Methods Analyses included 20 503 participants (mean [SD] age: 38 [12] years) from the SUN cohort. Dietary intake was assessed at baseline and after 10-years of follow-up with a validated semi-quantitative food-frequency questionnaire. The FSAm-NPS was calculated for each food/beverage based on their amount of energy, saturated fat, sugar, sodium, fibre, protein, fruits, vegetables, legumes, nuts, rapeseed, walnut and olive oils per 100 g of product. The FSAm-NPS Dietary Index (DI) was computed as an energy-weighted mean of the FSAm-NPS scores of all foods and beverages consumed by each participant. Multivariable-adjusted Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause and cause-specific mortality according to baseline and updated FSAm-NPS DI scores. Results Over a median follow-up of 10.9 years, 407 participants died. A higher baseline FSAm-NPS DI score, reflecting consumption of foods with lower nutritional quality and hence less favourable Nutri-Score rating, was directly associated with all-cause mortality (HR Q4 versus Q1 = 1.82; 95% CI: 1.34 to 2.47; p-trend<0.001) and cancer mortality (HR: 2.44; 95% CI: 1.54 to 3.85; p-trend<0.001). No association was found for cardiovascular mortality. Conclusions The consumption of food products with a higher FSAm-NPS score (lower nutritional quality) was associated with a higher rate of all-cause and cancer mortality in a large prospective cohort of Spanish, middle-aged university graduates. These findings further support the implementation of Nutri-Score in Euro-Mediterranean countries

Living at a geographically higher elevation is associated with lower risk of metabolic syndrome: prospective analysis of the SUN Cohort

Living in a geographically higher altitude affects oxygen availability. The possible connection between environmental factors and the development of metabolic syndrome (MetS) feature is not fully understood, being the available epidemiological evidence still very limited. The aim of the present study was to evaluate the longitudinal association between altitude and incidence of MetS and each of its components in a prospective Spanish cohort, The Seguimiento Universidad de Navarra (SUN) project. Our study included 6860 highly educated subjects (university graduates) free from any MetS criteria at baseline. The altitude of residence was imputed with the postal code of each individual subject residence according to the data of the Spanish National Cartographic Institute and participants were categorized into tertiles. MetS was defined according to the harmonized definition. Cox proportional hazards models were used to assess the association between the altitude of residence and the risk of MetS during follow-up. After a median follow-up period of 10 years, 462 incident cases of MetS were identified. When adjusting for potential confounders, subjects in the highest category of altitude (>456 m) exhibited a significantly lower risk of developing MetS compared to those in the lowest tertile (<122 m) of altitude of residence [Model 2: Hazard ratio = 0.75 (95% Confidence interval: 0.58-0.97); p for trend = 0.029]. Living at geographically higher altitude was associated with a lower risk of developing MetS in the SUN project. Our findings suggest that geographical elevation may be an important factor linked to metabolic diseases

Living at a geographically higher elevation is associated with lower risk of metabolic syndrome: prospective analysis of the SUN Cohort

Living in a geographically higher altitude affects oxygen availability. The possible connection between environmental factors and the development of metabolic syndrome (MetS) feature is not fully understood, being the available epidemiological evidence still very limited. The aim of the present study was to evaluate the longitudinal association between altitude and incidence of MetS and each of its components in a prospective Spanish cohort, The Seguimiento Universidad de Navarra (SUN) project. Our study included 6860 highly educated subjects (university graduates) free from any MetS criteria at baseline. The altitude of residence was imputed with the postal code of each individual subject residence according to the data of the Spanish National Cartographic Institute and participants were categorized into tertiles. MetS was defined according to the harmonized definition. Cox proportional hazards models were used to assess the association between the altitude of residence and the risk of MetS during follow-up. After a median follow-up period of 10 years, 462 incident cases of MetS were identified. When adjusting for potential confounders, subjects in the highest category of altitude (&gt;456 m) exhibited a significantly lower risk of developing MetS compared to those in the lowest tertile (&lt;122 m) of altitude of residence [Model 2: Hazard ratio = 0.75 (95% Confidence interval: 0.58-0.97); p for trend = 0.029]. Living at geographically higher altitude was associated with a lower risk of developing MetS in the SUN project. Our findings suggest that geographical elevation may be an important factor linked to metabolic diseases

Living at a geographically higher elevation is associated with lower risk of metabolic syndrome: prospective analysis of the SUN Cohort

Living in a geographically higher altitude affects oxygen availability. The possible connection between environmental factors and the development of metabolic syndrome (MetS) feature is not fully understood, being the available epidemiological evidence still very limited. The aim of the present study was to evaluate the longitudinal association between altitude and incidence of MetS and each of its components in a prospective Spanish cohort, The Seguimiento Universidad de Navarra (SUN) project. Our study included 6860 highly educated subjects (university graduates) free from any MetS criteria at baseline. The altitude of residence was imputed with the postal code of each individual subject residence according to the data of the Spanish National Cartographic Institute and participants were categorized into tertiles. MetS was defined according to the harmonized definition. Cox proportional hazards models were used to assess the association between the altitude of residence and the risk of MetS during follow-up. After a median follow-up period of 10 years, 462 incident cases of MetS were identified. When adjusting for potential confounders, subjects in the highest category of altitude (&gt;456 m) exhibited a significantly lower risk of developing MetS compared to those in the lowest tertile (&lt;122 m) of altitude of residence [Model 2: Hazard ratio = 0.75 (95% Confidence interval: 0.58-0.97); p for trend = 0.029]. Living at geographically higher altitude was associated with a lower risk of developing MetS in the SUN project. Our findings suggest that geographical elevation may be an important factor linked to metabolic diseases

Metabolic syndrome criteria and severity and carbon dioxide (CO2) emissions in an adult population

Background: Metabolic syndrome (MetS) has become a growing risk factor of some non-communicable diseases. Increase of greenhouse gas emissions affects the planet. Aims: To assess the association between MetS severity and amount of carbon dioxide (CO2) emitted in an adult population. Design: Cross-sectional study (n = 6646; 55-76-year-old-men; 60-75-year-old-women with MetS). Methods: Dietary habits were assessed using a pre-validated semi quantitative 143-item food frequency questionnaire. The amount of CO2 emitted due to the production of food consumed by person and day was calculated using a European database, and the severity of the MetS was calculated with the MetS Severity Score. Results: Higher glycaemia levels were found in people with higher CO2 emissions. The risk of having high severe MetS was related to high CO2 emissions. Conclusions: Low CO2 emissions diet would help to reduce MetS severity. Advantages for both health and the environment were found following a more sustainable diet. Trial registration: ISRCTN, ISRCTN89898870 . Registered 05 September 2013