Association between the Multidimensional Poverty Measure and COVID-19 mortality in Colombia

Background

Different socioeconomic aspects have been related to mortality from COVID-19. For this reason, the objective of this study was to analyze the association between the Multidimensional Poverty Measure at the municipal level (MPM) and the clinical outcome of mortality in the resident population of Colombia with a diagnosis of COVID-19.

Methods

Observational, non-concurrent cohort study of confirmed cases of COVID-19 reported in Colombia by August 2021. The main outcome variable was mortality from COVID-19, and the main exposure variable was MPM. The covariates included in the analysis were patient's sex, age, and municipality of residence. Unadjusted and adjusted logistic models were used using balanced random samples of deaths and recovered patients, calculating odds ratios (OR) and 95% confidence interval ranges (CI).

Results

In total, 4,194,538 cases of COVID-19 were included in the analysis, of which approximately 3% died. According to the adjusted multivariate analysis, it was found that patients who live in municipalities with an MPM between 20 to 40%, 41 to 60%, 61 to 80% and more than 80% had an OR of 1.6 (95% CI 1.4 to 1.8), 1.6 (95% CI 1.3 to 1.9), 1.7 (95% CI 1.2 to 2.5), and 2.2 (95% CI 0.7 to 7.8), respectively, for mortality from COVID-19 compared with an MPM of less than 20%. When analyzing the data according to sex for the MPM from 20 to 40%, 41 to 60%, 61 to 80% and more than 80%, an OR for women of 1.7 (95% CI 1.5 to 2.0), 1.8 (95% CI % 1.5 to 2.1), 1.9 (95% CI 1.3 to 2.6) and 2.8 (CI 0.9 to 10.1) respectively. For men an OR of 1.5 (95% CI 1.3 to 1.7), 1.4 (95% CI 1.2 to 1.7), 1.6 (95% CI 1.1 to 2.3) and 1.9 (95% CI 0.6 to 6.0) respectively compared to a MPM less than 20%.

Conclusions

The risk of mortality from COVID-19 in Colombia is increased in populations with higher MPM. Social determinants of health have an important effect on the outcomes of COVID-19.

Key messages

Risk scores for type 2 diabetes mellitus in Latin America: a systematic review of population-based studies

AIM

To summarize the evidence on diabetes risk scores for Latin American populations.

METHODS

A systematic review was conducted (CRD42019122306) looking for diagnostic and prognostic models for type 2 diabetes mellitus among randomly selected adults in Latin America. Five databases (LILACS, Scopus, MEDLINE, Embase and Global Health) were searched. type 2 diabetes mellitus was defined using at least one blood biomarker and the reports needed to include information on the development and/or validation of a multivariable regression model. Risk of bias was assessed using the PROBAST guidelines.

RESULTS

Of the 1500 reports identified, 11 were studied in detail and five were included in the qualitative analysis. Two reports were from Mexico, two from Peru and one from Brazil. The number of diabetes cases varied from 48 to 207 in the derivations models, and between 29 and 582 in the validation models. The most common predictors were age, waist circumference and family history of diabetes, and only one study used oral glucose tolerance test as the outcome. The discrimination performance across studies was ~ 70% (range: 66-72%) as per the area under the receiving-operator curve, the highest metric was always the negative predictive value. Sensitivity was always higher than specificity.

CONCLUSION

There is no evidence to support the use of one risk score throughout Latin America. The development, validation and implementation of risk scores should be a research and public health priority in Latin America to improve type 2 diabetes mellitus screening and prevention.

The European perspective of type 2 diabetes prevention: diabetes in Europe--prevention using lifestyle, physical activity and nutritional intervention (DE-PLAN) project

BACKGROUND

The prevalence of type 2 diabetes (T2D) has dramatically increased in Europe, and the age-at-diagnosis has become younger. Action is needed now to develop targeted prevention management program for T2D. The DE-PLAN ("Diabetes in Europe - Prevention using Lifestyle, Physical Activity and Nutritional intervention") project, led by the University of Helsinki is currently addressing this major public health concern in Europe.

METHODS

The DE-PLAN project aims at developing and testing models of efficient identification and intervention of individuals at high risk of type 2 diabetes in the community. It conducts a lifestyle modification intervention in people at high risk for T2D. Furthermore, it tests the feasibility and cost-effectiveness of the translation of the current research evidence about preventive intervention program into clinical settings within existing health care systems in 17 European countries.

RESULTS

This 3-year project spanning has commenced mid-2005. By now, 25 institutions from 17 countries are involved.

CONCLUSION

The development of efficient screening strategies for type 2 diabetes risk as well as the development of core intervention strategies for the primary prevention of type 2 diabetes should significantly enhance the ability of health care professionals to respond swiftly to the drastic increase of T2D and its burden to the society.

The effects of physical activity and body mass index on cardiovascular, cancer and all-cause mortality among 47 212 middle-aged Finnish men and women

OBJECTIVE

To examine the association of physical activity and body mass index (BMI), and their combined effect, with the risk of total, cardiovascular disease (CVD) and cancer mortality.

DESIGN

Prospective follow-up study.

SUBJECTS

In all, 22 528 men and 24 684 women aged 25-64 y at baseline having 7394 deaths during a mean follow-up of 17.7 y.

MEASUREMENT

A self-administered questionnaire data on smoking, socioeconomic factors, physical activity and medical history, together with measured height, weight, blood pressure and serum cholesterol using standardized protocol.

RESULT

Physically active subjects had significantly lower age-adjusted mortality from cardiovascular, cancer and all causes compared with sedentary ones. Further adjustment for smoking, systolic blood pressure, cholesterol, BMI, diabetes and education affected the results only slightly. Obese subjects (BMI> or =30 kg/m(2)) had significantly higher cardiovascular and total mortality than the normal weight (18.5< or =BMI<25 kg/m(2)) subjects. Part of increased mortality among obese subjects was mediated through obesity-related cardiovascular risk factors. BMI had an inverse association with cancer mortality among men and almost significant direct association among women. Total mortality was also increased among the lean (BMI<18.5 kg/m(2)) subjects. However, less than 0.3% of deaths were attributed to low body weight, whereas in men 5.5% and in women 17.7% of deaths were attributed to obesity.

CONCLUSION

Regular physical activity and normal weight are both important indicators for a decreased risk of mortality from all causes, CVD and cancer. Physical activity had a strong independent effect on mortality, whereas the effect of BMI was partly mediated through other obesity-related risk factors.