Rising rural body-mass index is the main driver of the global obesity epidemic in adults

Body-mass index (BMI) has increased steadily in most countries in parallel with a rise in the proportion of the population who live in cities(.)(1,2) This has led to a widely reported view that urbanization is one of the most important drivers of the global rise in obesity(3-6). Here we use 2,009 population-based studies, with measurements of height and weight in more than 112 million adults, to report national, regional and global trends in mean BMI segregated by place of residence (a rural or urban area) from 1985 to 2017. We show that, contrary to the dominant paradigm, more than 55% of the global rise in mean BMI from 1985 to 2017-and more than 80% in some low- and middle-income regions-was due to increases in BMI in rural areas. This large contribution stems from the fact that, with the exception of women in sub-Saharan Africa, BMI is increasing at the same rate or faster in rural areas than in cities in low- and middle-income regions. These trends have in turn resulted in a closing-and in some countries reversal-of the gap in BMI between urban and rural areas in low- and middle-income countries, especially for women. In high-income and industrialized countries, we noted a persistently higher rural BMI, especially for women. There is an urgent need for an integrated approach to rural nutrition that enhances financial and physical access to healthy foods, to avoid replacing the rural undernutrition disadvantage in poor countries with a more general malnutrition disadvantage that entails excessive consumption of low-quality calories.Peer reviewe

Height and body-mass index trajectories of school-aged children and adolescents from 1985 to 2019 in 200 countries and territories: a pooled analysis of 2181 population-based studies with 65 million participants

Summary Background Comparable global data on health and nutrition of school-aged children and adolescents are scarce. We aimed to estimate age trajectories and time trends in mean height and mean body-mass index (BMI), which measures weight gain beyond what is expected from height gain, for school-aged children and adolescents. Methods For this pooled analysis, we used a database of cardiometabolic risk factors collated by the Non-Communicable Disease Risk Factor Collaboration. We applied a Bayesian hierarchical model to estimate trends from 1985 to 2019 in mean height and mean BMI in 1-year age groups for ages 5–19 years. The model allowed for non-linear changes over time in mean height and mean BMI and for non-linear changes with age of children and adolescents, including periods of rapid growth during adolescence. Findings We pooled data from 2181 population-based studies, with measurements of height and weight in 65 million participants in 200 countries and territories. In 2019, we estimated a difference of 20 cm or higher in mean height of 19-year-old adolescents between countries with the tallest populations (the Netherlands, Montenegro, Estonia, and Bosnia and Herzegovina for boys; and the Netherlands, Montenegro, Denmark, and Iceland for girls) and those with the shortest populations (Timor-Leste, Laos, Solomon Islands, and Papua New Guinea for boys; and Guatemala, Bangladesh, Nepal, and Timor-Leste for girls). In the same year, the difference between the highest mean BMI (in Pacific island countries, Kuwait, Bahrain, The Bahamas, Chile, the USA, and New Zealand for both boys and girls and in South Africa for girls) and lowest mean BMI (in India, Bangladesh, Timor-Leste, Ethiopia, and Chad for boys and girls; and in Japan and Romania for girls) was approximately 9–10 kg/m2. In some countries, children aged 5 years started with healthier height or BMI than the global median and, in some cases, as healthy as the best performing countries, but they became progressively less healthy compared with their comparators as they grew older by not growing as tall (eg, boys in Austria and Barbados, and girls in Belgium and Puerto Rico) or gaining too much weight for their height (eg, girls and boys in Kuwait, Bahrain, Fiji, Jamaica, and Mexico; and girls in South Africa and New Zealand). In other countries, growing children overtook the height of their comparators (eg, Latvia, Czech Republic, Morocco, and Iran) or curbed their weight gain (eg, Italy, France, and Croatia) in late childhood and adolescence. When changes in both height and BMI were considered, girls in South Korea, Vietnam, Saudi Arabia, Turkey, and some central Asian countries (eg, Armenia and Azerbaijan), and boys in central and western Europe (eg, Portugal, Denmark, Poland, and Montenegro) had the healthiest changes in anthropometric status over the past 3·5 decades because, compared with children and adolescents in other countries, they had a much larger gain in height than they did in BMI. The unhealthiest changes—gaining too little height, too much weight for their height compared with children in other countries, or both—occurred in many countries in sub-Saharan Africa, New Zealand, and the USA for boys and girls; in Malaysia and some Pacific island nations for boys; and in Mexico for girls. Interpretation The height and BMI trajectories over age and time of school-aged children and adolescents are highly variable across countries, which indicates heterogeneous nutritional quality and lifelong health advantages and risks

Registry-based mortality analysis reveals a high proportion of patient decrees and presumed limitation of therapy in severe geriatric trauma

Background: The treatment of severely injured patients, especially in older age, is complex, and based on strict guidelines. Methods: We conducted a retrospective study by analyzing our internal registry for mortality risk factors in deceased trauma patients. All patients that were admitted to the trauma bay of our level-1-trauma center from 2014 to 2018, and that died during the in-hospital treatment, were included. The aim of this study was to carry out a quality assurance concerning the initial care of severely injured patients. Results: In the 5-year period, 135 trauma patients died. The median (IQR) age was 69 (38–83) years, 71% were male, and the median (IQR) Injury Severity Score (ISS) was 25 (17–34) points. Overall, 41% of the patients suffered from severe traumatic brain injuries (TBI) (AIShead ≥ 4 points). For 12.7%, therapy was finally limited owing to an existing patient’s decree; in 64.9% with an uncertain prognosis, a ‘therapia minima’ was established in consensus with the relatives. Conclusion: Although the mortality rate was primarily related to the severity of the injury, a significant number of deaths were not exclusively due to medical reasons, but also to a self-determined limitation of therapy for severely injured geriatric patients. The conscientious documentation concerning the will of the patient is increasingly important in supporting medical decisions

Severe traumatic brain injury (TBI) modulates the kinetic profile of the inflammatory response of markers for neuronal damage

The inflammatory response plays an important role in the pathophysiology of multiple injuries. This study examines the effects of severe trauma and inflammatory response on markers of neuronal damage. A retrospective analysis of prospectively collected data in 445 trauma patients (Injury Severity Score (ISS) ≥ 16) is provided. Levels of neuronal biomarkers (calcium-binding Protein B (S100b), Enolase2 (NSE), glial fibrillary acidic protein (GFAP)) and Interleukins (IL-6, IL-10) in severely injured patients (with polytrauma (PT)) without traumatic brain injury (TBI) or with severe TBI (PT+TBI) and patients with isolated TBI (isTBI) were measured upon arrival until day 5. S100b, NSE, GFAP levels showed a time-dependent decrease in all cohorts. Their expression was higher after multiple injuries (p = 0.038) comparing isTBI. Positive correlation of marker level after concomitant TBI and isTBI (p = 0.001) was noted, while marker expression after PT appears to be independent. Highest levels of IL-6 and -10 were associated to PT und lowest to isTBI (p < 0.001). In all groups pro-inflammatory response (IL-6/-10 ratio) peaked on day 2 and at a lower level on day 4. Severe TBI modulates kinetic profile of inflammatory response by reducing interleukin expression following trauma. Potential markers for neuronal damage have a limited diagnostic value after severe trauma because undifferentiated increase

Health Economic Challenge: Geriatric Trauma&mdash;An Age-Based Observational Analysis of Treatment Costs and Reimbursement Issues

Demographic change is having a major impact on the economic and structural development of the healthcare system. People stay active longer and the number of mild traumatic brain injury [mTBI] in patients &ge; 65 years of age consequently increases. The aim of this comparative analysis is to illustrate the impact of demographic change and the increasing treatment of geriatric trauma patients on the cost structure of the health care system using mTBI as an example diagnosis. Patients and Methods: The 12-month retrospective analysis included 220 in-patients treated with mTBI and remunerated under the German Diagnosis Related Group [G-DRG] B80Z. For comparative analysis, the patient population was divided into two study groups according to age [U65 18&ndash;64 years, G65 &ge; 65 years]. For the cost and proceeds calculation, itemized cost reports (personnel, supply, material, and equipment costs, etc.) were created. Results: 163 patients U65 and 57 patients G65 were included. In the G65 group, the most frequent accident mechanism was a fall from a short distance (84.1 vs. U65 36.7%; p = 0.007). For the inpatient admission of G65, the use of anticoagulants (p &lt; 0.001) and comorbidity (p = 0.002) played a primary role, while for younger patients it was more neurological symptoms (p &lt; 0.001) and alcohol (p &lt; 0.001) that led to inpatient monitoring. The mean length of hospitalization of G65 patients was significantly longer than that of younger patients (G65 2.4 &plusmn; 1.9 days &gt; U65 1.7 &plusmn; 0.8 days; p = 0.007) and radiological examinations (G65 94.7% &gt; U65 23.3%; p = 0.013) were performed more frequently. Comparing analysis of the cost and proceeds of U65 vs. G65 results in a proceeds difference of &euro;51,753.91 per year for the G-DRG B80Z compared to U65. Conclusions: It has been shown that there is a difference in costs and proceeds when comparing younger and older patients, resulting in a reimbursement deficit. In view of the demographic development in Europe, flat-rate remuneration will lead to a considerable discrepancy between DRG reimbursement and the coverage of hospitals&rsquo; running costs. Providing health care to an increasingly aging society represents one of the major personnel and financial challenges for the public health system in the coming decades. Further adaptation of the DRG system to the growing costs caused by older patients is imperative

miR-142-3p expression is predictive for severe traumatic brain injury (TBI) in trauma patients

Background: Predictive biomarkers in biofluids are the most commonly used diagnostic method, but established markers in trauma diagnostics lack accuracy. This study investigates promisingmicroRNAs(miRNA)releasedfromaffectedtissueafterseveretraumathathavepredictive values for the effects of the injury. Methods: A retrospective analysis of prospectively collected data and blood samples of n = 33 trauma patients (ISS≥16) is provided. Levels of miR-9-5p, -124-3p, -142-3p, -219a-5p, -338-3pand-423-3p inseverelyinjuredpatients (PT)withouttraumatic braininjury (TBI) or with severe TBI (PT + TBI) and patients with isolated TBI (isTBI) were measured within 6 h after trauma. Results: The highest miR-423-3p expression was detected in patients with severe isTBI, followed by patients with PT + TBI, and lowest levels were found in PT patients without TBI (2−∆∆Ct,p = 0.009). ApositivecorrelationbetweenmiR-423-3plevelandincreasingAIShead (p = 0.001) and risk of mortality (RISC II, p = 0.062) in trauma patients (n = 33) was found. ROC analysis of miR-423-3p levels revealed them as statistically significant to predict the severity of brain injury in trauma patients (p = 0.006). miR-124-3p was only found in patients with severe TBI, miR-338-3p was shown in all trauma groups. miR-9-5p, miR-142-3p and miR-219a-5p could not be detected in any of the four groups. Conclusion: miR-423-3p expression is significantly elevated after isolated traumatic braininjuryandpredictableforsevereTBIinthefirsthoursaftertrauma. miR-423-3pcouldrepresent a promising new biomarker to identify severe isolated TBI