Obesity and cardiovascular disease risk among Africans residing in Europe and Africa: the RODAM study

Association between BMI, RFM and mortality and potential mediators: Prospective findings from the Moli-sani study

BACKGROUND

Body mass index (BMI) is the most frequently used adiposity measure, yet it is unable to differentiate fat mass from lean mass. Relative fat mass (RFM) has been proposed as an alternative. This paper aims to study RFM and BMI association with mortality in a general Italian population and potential mediators of such association.

METHODS

20,587 individuals from the Moli-sani cohort were analysed (mean age = 54 ± 11, women = 52%, median follow up = 11.2 years, interquartile range = 1.96 years). Cox regressions were used to assess BMI, RFM, and their interactive association with mortality. Dose-response relationships were computed with spline regression, mediation analysis was performed. All analyses were separated for men and women.

RESULTS

Men and women with BMI > 35 kg/m² and men in the 4th quartile of RFM showed an independent association with mortality (HR = 1.71, 95% CI = 1.30-2.26 BMI in men, HR = 1.37, 95%CI = 1.01-1.85 BMI in women, HR = 1.37 CI 95% = 1.11-1.68 RFM in men), that was lost once adjusted for potential mediators. Cubic splines showed a U-shaped association for BMI in men and women, and for RFM in men. Mediation analysis showed that 46.5% of the association of BMI with mortality in men was mediated by glucose, C reactive protein, forced expiratory volume in 1 s (FEV1), and cystatin C; 82.9% of the association of BMI in women was mediated by HOMA index, cystatin C and FEV1; lastly, 55% of RFM association with mortality was mediated by glucose, FEV1 and cystatin C. Regression models including BMI and RFM showed that RFM drives most of the risk in men, but is not predictive in women.

CONCLUSIONS

The association between anthropometric measures and mortality was U shaped and it was largely dependent on sex. Associations were mediated by glucose metabolism, renal and lung function. Public health interventions should mainly focus on people with severe obesity or impaired metabolic, renal, or respiratory function.

Moderation of Weight Misperception on the Associations Between Obesity Indices and Estimated Cardiovascular Disease Risk

BACKGROUND

This study aimed to investigate the gender-specific association between weight misperception and estimated cardiovascular disease (CVD) risk and gender-specific moderation of weight misperception in the associations between obesity indices and CVD risk.

METHODS

In 7836 men and 10,299 women aged 40-79 years without CVD history from the 2014-2018 Korea National Health and Nutrition Examination Survey, the risk of 10-year atherosclerotic cardiovascular disease (ASCVD) was calculated using Pooled Cohort Equations. Weight misperception was defined as accurate estimation, overestimation, or underestimation by comparing perceived weight to actual weight category. Obesity indices were BMI and waist circumference (WC).

RESULTS

In fully adjusted models, odds of 10-year ASCVD risk of ≥ 7.5% were lower in men with overestimating weight (odd ratio [95% confidence interval], 0.85 [0.73, 0.99] after adjusting for BMI;0.79 [0.68, 0.92] after adjusting for WC), but higher in women with underestimating weight (1.44 [1.27, 1.63] after adjusting for BMI;1.42 [1.26, 1.61] after adjusting for WC) compared to those with accurate weight estimates. Compared to women with accurate weight estimates, the ASCVD risk associated with obesity indices was higher in those who underestimated weight (ß [95% CI], 0.33 [0.23, 0.43] for BMI;0.16 [0.13, 0.20] for WC), whereas it was lower in those who overestimated weight (-0.15 [-0.28, -0.02] for BMI; -0.07 [-0.11, -0.03] for WC). In men, weight misperception did not moderate the association between obesity indices and the ASCVD risk.

CONCLUSIONS

These findings suggest that weight misperception was associated with estimated CVD risk independently across gender and moderates the association between obesity indices and estimated CVD risk in women.

A comparison of resource use of insured and uninsured venezuelan migrants: evidence from the hospital setting

BACKGROUND

There is no characterization of resource use in the hospital setting for immigrants in Colombia, we aimed to describe the resource use by Venezuelan immigrants, comparing those enrolled in the national health insurance system with those with and without the ability to pay.

METHODS

Retrospective review in the billing data system of our Hospital from 2011 to 2020. We collected information for 6,837 hospital episodes associated with 1,022 Venezuelan patients, hospital's billing information for all services rendered was extracted.

RESULTS

The mean cost per patient event were 4,595 USD for those without the ability to pay, costing 2.37 times more than a legal resident insured. Care in the ICU, inpatient days, surgery, and OB-GYN department consume most resources provided to vulnerable migrants.

DISCUSSION

Enrolment in the national health insurance may allow better access to health services by vulnerable Venezuelan migrants and thus reduce resource use for the health system.

Health and illness in migrants and refugees arriving in Europe: analysis of the electronic Personal Health Record system

BACKGROUND

The electronic Personal Health Record (ePHR) is a health information system that registers health data on newly arriving migrants and was implemented in eight European countries (Bulgaria, Croatia, Cyprus, Greece, Italy, Romania, Serbia and Slovenia). This is a cross-sectional study aimed to describe the health problems and health status of all migrants attended at health clinics as part of the health assessment programme established in the reception centres (2016-2019).

METHODS

Data were collected on demographics, clinical and laboratory findings and diagnostics performed, including medical records. We classified all diseases using pre-specified algorithms according to information on pre-specified variables from the ePHR questionnaire, ICD-10 codes, positive laboratory findings or review of medical records. Crude proportions were calculated and odds ratios (OR) estimated using logistic regression modelling.

RESULTS

The ePHR dataset contained a total of 19 564 clinical episodes in 14 436 individuals, recorded between January 2016 and October 2019. Most individuals (75%) were refugees or asylum seekers (22%) from 92 different nationalities. There were 2531/19 564 (12.9%) infectious diseases episodes reported during the study period, being 1283/2531 (50.7%) of them pharyngo-tonsillitis, 529 (20.9%) scabies, 158 (6.2%) viral hepatitis and 156(6.1%) lower respiratory infections. There were 2462 (17.1%) individuals with non-communicable diseases reported; including 821 (5.7%) cardiovascular diseases, 1183 (8.2%) neurological condition, 644 (4.5%) Diabetes mellitus and 212 (1.5%) kidney disease cases. Having Diabetes Mellitus (adjusted OR, aOR 3.3, [95% confidence interval, CI 2.7-4.1], P < 0.001), and neurological disorders (aOR 1.8, [95% CI 1.4-2.2], P < 0.001) were associated with cardiovascular disorders in the multivariable logistic regression model.Mental health problems were reported in 641/14 436 (4.4%) individuals and were associated with increasing age. Furthermore, 610 episodes of acute injuries were reported among 585/14 436 (4.1%) people, 517 (88.4%) of them in men (P < 0.001).

CONCLUSIONS

The ePHR is a valuable tool to efficiently collect health-related data to better address migrant health issues. We described a mostly healthy population with many acute infectious disease episodes particularly in children, but also with significant number of chronic conditions and less frequent injuries or mental health problems.

The relationship between anthropometric indicators and health-related quality of life in a community-based adult population: A cross-sectional study in Southern China

Background

This study was designed to analyze the relationship of waist circumference (WC), body mass index (BMI), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), relative fat mass (RFM), lipid accumulation product (LAP) and health-related quality of life (HRQoL) in the community-dwelling population of southern China and to explore the independent contribution of socio-demographic characteristics, number of chronic diseases and anthropometric indicators to HRQoL in that population.

Methods

This community-based cross-sectional survey studied 2,663 adults aged 18 years and older. HRQoL was assessed by the 3-level EuroQol 5-dimensional scale (EQ-5D-3L), and HRQoL were calculated using the Chinese EQ-5D-3L value set. The outcome variable was the EQ-5D-3L score (HRQoL). Cluster regression was used to analyse the independent contribution of each obesity indicator to HRQoL.

Results

A total of 2,663 people participated in this study, and their mean EQ-5D-3L score was 0.938 ± 0.072. In this study, according to the results of the one-way ANOVA, HRQoL was significantly different between the groups of WHtR, WHR, RFM and LAP, respectively. The independent contributions of socio-demographic factors, number of chronic diseases and anthropometric measures to HRQoL in the whole population accounted for 76.2, 7.9, and 15.9% of the total effect, respectively.

Conclusion

RFM and LAP were found to have a previously unreported negative impact on HRQoL in a community-dwelling population. In future studies, RFM and LAP could be used as new indicators of obesity to predict quality of life in humans.

Aetiological research on the health of migrants living in Germany: a systematic literature review

BACKGROUND

Germany has become an important immigration country and health services need to adopt to meet the needs of an increasingly multicultural population. For public health planning, it is essential to understand the aetiology of health problems among migrant populations. The main objective was to systematically identify, evaluate and synthesise population-based studies that investigated exposure-outcome relationships among migrant groups in Germany.

METHODS

In November 2019, we searched PubMed and LIVIVO, and updated this search in November 2020, to identify peer-reviewed publications that fulfilled our eligibility criteria: English or German language; study on disease aetiology among major migrant groups in Germany, according to the latest microcensus; publication date from inception to 01 November 2020 and observational or experimental study designs. For quality appraisal, we used the Critical Appraisal Skills Programme checklists. Outcomes under investigation were categorised according to the WHO major disease groups, and their associations with risk factors were synthesised as a heat map.

RESULTS

Out of 2407 articles retrieved, we included 68 publications with a total number of 864 518 participants. These publications reported on cross-sectional data (n=56), cohort studies (n=11) and one intervention study. The population groups most frequently studied were from the Middle East (n=28), Turkey (n=24), sub-Saharan Africa (n=24), Eastern Europe (n=15) and the former Soviet Union (n=11). The outcomes under study were population group specific. There were consistent associations of demographic and socioeconomic factors with ill health among migrants in Germany.

DISCUSSION

In this systematic review, we observed low risk of bias in two-thirds of the studies. There is an increasing body of evidence for aetiological research on migrants' health in Germany. Still, the directions of associations between a wide range of risk factors and major disease groups seem only partially understood.

PROSPERO REGISTRATION NUMBER

CRD42018085074.

Socioeconomic Determinants of Cardiovascular Diseases, Obesity, and Diabetes among Migrants in the United Kingdom: A Systematic Review

There has been little agreement on the role that socioeconomic factors play in the aetiology of cardiovascular diseases (CVDs), obesity, and diabetes among migrants in the United Kingdom (UK). We systematically reviewed the existing evidence on this association to contribute to filling this gap in the literature. Two reviewers were involved at each stage of the review process to ensure validity. We comprehensively searched through several electronic databases and grey literature sources to identify potentially eligible papers for our review. We extracted data from our finally included studies and appraised the methodological rigour of our studies. A narrative synthesis approach was used to synthesise and interpret the extracted data. We sieved through 2485 records identified from our search and finally obtained 10 studies that met our inclusion criteria. The findings of this review show that there is a trend towards an association between socioeconomic factors and CVDs, diabetes, and obesity among migrants in the UK. However, the picture was more complex when specific socioeconomic variables and migrant subgroups were analysed. The evidence for this association is inconclusive and its causal relationship remains speculative. There is, therefore, the need for further research to understand the exact association between socioeconomic factors and CVD, diabetes, and obesity among migrants in the UK.