How does obesity affect mortality through blood pressure and blood glucose in Chinese and US citizens? Insights from a causal mediation analysis of two large cohorts.

Background: Obesity, which has reached the scale of a global pandemic, is a leading cause of premature death. It is unclear to what extent its effect on mortality was driven by blood pressure or glucose levels in people of different ethnicities. Methods: We conducted a causal mediation analysis to estimate the mediation effect of blood pressure and glucose between body mass index (BMI) or waist-hip ratio (WHR) on mortality based on data from the China Kadoorie Biobank (CKB) (n = 458 385) and US National Health and Nutrition Examination Survey (NHANES) (1999-2008, n = 20 726). Results: The WHR's effect on mortality was mediated by blood pressure and glucose in the CKB data set by 38.7% (95% confidence interval (CI) = 34.1, 43.2) and 36.4% (95% CI = 31.6, 42.8), whereas in NHANES by 6.0% (95% CI = 2.3, 8.3) and 11.2% (95% CI = 4.7, 22.7), respectively. For associations between BMI and mortality in subjects with overweight or obesity, the mediator proportion of blood glucose and pressure was 49.4% (95% CI = 40.1, 62.5) and 16.9% (95% CI = 13.6, 22.9) in CKB and 9.10% (95% CI = 2.2, 25.9) and 16.7% (95% CI = 7.3, 49.0) in NHANES, respectively. We stratified the patients by their blood glucose, blood pressure level, or both into four groups. The effect of WHR on mortality was comparable across subgroups in either cohort. The associations between BMI and mortality were stronger in patients with higher blood pressure in CKB (P = 0.011) and blood glucose in NHANES (P = 0.035) in patients with overweight and obesity. Conclusions: The relationship between WHR and mortality in the CKB data set was potentially caused by blood pressure and glucose to a much greater extent than in the NHANES one. The effect of BMI influenced by blood pressure was significantly higher among Chinese individuals with overweight and obesity. These results implicate a different intervention strategy is required for blood pressure and blood glucose in China and US to prevent obesity and obesity-related premature death.

Dietary diversity predicts the mortality among older people: Data from the fifth Thai national health examination survey.

OBJECTIVE: To examine the association between dietary diversity (DD) and mortality among Thai older people and to investigate whether age, sex, and nutritional status modify this association. METHODS: The national survey conducted from 2013 to 2015 recruited 5631 people aged >60 years. Dietary diversity score (DDS) was assessed for the consumption of eight food groups using food frequency questionnaires. The Vital Statistics System provided the data on mortality in 2021. The association between DDS and mortality was analyzed by Cox proportional hazard model and adjusted for the complex survey design. Interaction terms between DDS and age, sex, and BMI were also tested. RESULTS: The DDS was inversely associated with mortality (HRadj 0.98, 95%CI: 0.96-1.00). This association was stronger in people aged >70 years (HRadj 0.93, 95%CI: 0.90-0.96 for aged 70-79 years, and HRadj 0.92, 95%CI: 0.88-0.95 for aged >80 years). Inverse association between DDS and mortality was also found in the underweight older population (HRadj 0.95, 95%CI: 0.90-0.99). A positive association was found between DDS and mortality in the overweight/obese group (HRadj 1.03, 95%CI: 1.00-1.05). However, the interaction between the DDS with sex to mortality was not statistically significant. CONCLUSION: Increasing DD reduces mortality among Thai older people, especially in those above 70, and underweight. In contrast, an increase in DD also meant an increase in mortality among the overweight/obese group. Focus should be placed on the nutritional interventions aimed to improve DD for those 70 and over and underweight to reduce mortality.

Association of body mass index and weight change with pneumonia mortality in a Japanese population: Japan Public Health Center-based Prospective Study.

BACKGROUND: Accumulating evidence suggests that pneumonia mortality is lower for individuals with high body mass index (BMI) compared to normal BMI, but it remains unclear whether weight change during adulthood influences subsequent mortality due to pneumonia in Asian populations, who have a relatively lean body mass. This study aimed to examine the association of BMI and weight change over 5 years with the subsequent risk of pneumonia mortality in a Japanese population. METHODS: The present analysis included 79,564 Japan Public Health Center (JPHC)-based Prospective Study participants who completed a questionnaire between 1995 and 1998 were followed for death through 2016. BMI was categorized into four groups: underweight (<18.5 kg/m2), normal weight (BMI: 18.5-24.9 kg/m2), overweight (25.0-29.9 kg/m2), and obese (BMI: ≥30.0 kg/m2). Weight change was defined as the difference of body weight between questionnaire surveys with a 5-year interval. Cox proportional hazards regression was used to estimate hazard ratios of baseline BMI and weight change for pneumonia mortality. RESULTS: During a median follow-up of 18.9 y, we identified 994 deaths from pneumonia. Compared with participants with normal weight, an elevated risk was observed among those who were underweight (hazard ratio = 2.29, 95% confidence interval [CI]: 1.83-2.87), whereas a decreased risk was found among those who were overweight (hazard ratio = 0.63, 95% CI: 0.53-0.75). Regarding weight change, the multivariable-adjusted hazard ratio (95% CI) of pneumonia mortality for a weight loss of 5 kg or more versus a weight change of less than 2.5 kg was 1.75 (1.46-2.10), whereas that for a weight gain of 5 kg or more was 1.59 (1.27-2.00). CONCLUSION: Underweight and greater weight change was associated with an increase in the risk of pneumonia mortality in Japanese adults.

Cardiorespiratory Fitness, BMI, Mortality, and Cardiovascular Disease in Adults with Overweight/Obesity and Type 2 Diabetes.

INTRODUCTION: We estimated the effects of cardiorespiratory fitness (CRF) and body mass index (BMI) at baseline on mortality and cardiovascular disease events in people with type 2 diabetes who participated in the Look AHEAD randomized clinical trial. METHODS: Look AHEAD compared effects of an intensive lifestyle intervention with diabetes support and education on cardiovascular disease events in 5145 adults age 45-76 yr with overweight/obesity and type 2 diabetes. In 4773 participants, we performed a secondary analysis of the association of baseline CRF during maximal treadmill test (expressed as metabolic equivalents (METs)) on mortality and cardiovascular disease events during a mean follow-up of 9.2 yr. RESULTS: The mean (SD) CRF was 7.2 (2.0) METs. Adjusted for age, sex, race/ethnicity, BMI, intervention group, and ß-blocker use, all-cause mortality rate was 30% lower per SD greater METs (hazard ratio (HR) = 0.70 (95% confidence interval, 0.60 to 0.81); rate difference (RD), -2.71 deaths/1000 person-years (95% confidence interval, -3.79 to -1.63)). Similarly, an SD greater METs predicted lower cardiovascular disease mortality (HR, 0.45; RD, -1.65 cases/1000 person-years) and a composite cardiovascular outcome (HR, 0.72; RD, -6.38). Effects of METs were homogeneous on the HR scale for most baseline variables and outcomes but heterogeneous for many on the RD scale, with greater RD in subgroups at greater risk of the outcomes. For example, all-cause mortality was lower by 7.6 deaths/1000 person-years per SD greater METs in those with a history of cardiovascular disease at baseline but lower by only 1.6 in those without such history. BMI adjusted for CRF had little or no effect on these outcomes. CONCLUSIONS: Greater CRF is associated with reduced risks of mortality and cardiovascular disease events.

Body Mass Index, Weight Loss, and Mortality Risk in Advanced-Stage Non-Small Cell Lung Cancer Patients: A Focus on EGFR Mutation.

Body mass index (BMI) influences the prognosis of patients with non-small cell lung cancer (NSCLC), including both early-stage and late-stage NSCLC patients that are undergoing chemotherapies. However, earlier research on the relationship between BMI and survival in patients taking epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors (TKIs) yielded contradictory results. These publications either had a limited number of patients or were getting TKIs in various lines of therapy, which might explain why the outcomes were contradictory. As a result, we undertook retrospective study to examine the effect of BMI on survival outcomes in patients with advanced EGFR mutant NSCLC receiving first-line EGFR-TKIs. We also compared the findings to those with wild-type EGFR. Between November 2010 and March 2014, 513 patients with advanced NSCLC were enrolled in the study. According to the adjusted BMI cut-off point for Asia, 35 out of 513 (6.8%) patients were underweight (BMI < 18.5 kg/m2), whereas 197 (38.4%) were overweight (BMI > 24 kg/m2). Overweight patients with wild-type EGFR exhibited longer progression-free survival (4.6 vs. 2.1 months, p = 0.003) and overall survival (OS) (8.9 vs. 4.3 months, p = 0.003) than underweight patients. Overweight patients with EGFR mutations had a longer OS than normal-weight patients (23.0 vs. 20.2 months, p = 0.025). Bodyweight reduction was related to a shorter OS in both the mutant EGFR patients (17.1 vs. 30.5 months, p < 0.001) and the wild-type EGFR patients (7.8 vs. 18.7 months, p < 0.001). In conclusion, advanced stages NSCLC patients with a lower BMI and early weight loss had a worse outcome that was independent of EGFR mutation status.

Overweight with HBV infection limited the efficacy of TACE in hepatocellular carcinoma by inhibiting the upregulated HMGB1.

BACKGROUND: Transarterial chemoembolization (TACE) is an effective treatment for patients with hepatocellular carcinoma (HCC). However, the impact of hepatitis B viral (HBV) infection and body mass index (BMI) on TACE is controversial. The present study aimed to compare the influence of HBV and high BMI on TACE outcomes in advanced HCC. METHODS: Based on HBV infection history and BMI, patients were assigned to different subgroups. Blood samples were collected and analyzed by an enzyme-linked immunosorbent assay (ELISA) kit. The primary endpoint was progression-free survival (PFS) and the overall survival (OS) in the population. RESULTS: Compared to overweight combined HBV patients who received TACE, people with normal weight or no viral infection had significantly better OS and PFS. Sex, age, portal vein tumor thrombus, BCLC, ECOG, and tumor diameter are the main risk factors affecting PFS and OS. Except for the postoperative fever, no significant difference was detected in adverse reactions. Irrespective of TACE, the average expression of HMGB1 in hepatitis or obesity patients was higher than that in normal individuals and did not show upregulation after TACE. Patients without overweight or HBV infection had a low expression of serum HMGB1 that was substantially upregulated after TACE. CONCLUSIONS: In this study, overweight combined HBV infection patients had shorter PFS and OS than other HCC patients. Thus, HBV and BMI maybe two factors affecting the efficacy of TACE via upregulated HMGB1.

The effect of BMI on COVID-19 outcomes among older patients in South Korea: a nationwide retrospective cohort study.

Background: The coronavirus disease 2019 (COVID-19) pandemic has caused deaths and shortages in medical resources worldwide, making the prediction of patient prognosis and the identification of risk factors very important. Increasing age is already known as one of the main risk factors for poor outcomes, but the effect of body mass index (BMI) on COVID-19 outcomes in older patients has not yet been investigated. Aim: We aimed to determine the effect of BMI on the severity and mortality of COVID-19 among older patients in South Korea. Methods: Data from 1272 COVID-19 patients (≥60 years old) were collected by the Korea Centers for Disease Control and Prevention. The odds ratios (ORs) of severe infection and death in the BMI groups were analyzed by logistic regression adjusted for covariates.Results: The underweight group (BMI<18.5 kg/m2) had a higher OR for death (adjusted OR = 2.23, 95% confidence interval [95% CI] = 1.06-4.52) than the normal weight group (BMI, 18.5-22.9 kg/m2). Overweight (BMI, 23.0-24.9 kg/m2) was associated with lower risks of both severe infection (adjusted OR = 0.55, 95% CI = 0.31-0.94) and death (adjusted OR = 0.50, 95% CI = 0.27-0.91). Conclusions: Underweight was associated with an increased risk of death, and overweight was related to lower risks of severe infection and death in older COVID-19 patients in Korea. However, this study was limited by the lack of availability of some information, including smoking status.KEY MESSAGESUnderweight is an independent risk factor of death in older COVID-19 patients.Overweight patients have a lower risk of death and severe infection than normal-weight patients.

High nutritional risk using NUTRIC-Score is associated with worse outcomes in COVID-19 critically ill patients.

INTRODUCTION: Background: nutritional risk has been associated with worse outcomes at the critical care unit. The aim of this study was to describe the association between nutritional risk and length of stay, days on mechanical ventilation, and in-hospital mortality in patients infected with SARS-CoV-2. Methods: a retrospective cohort of ventilated, critically ill patients. We assessed nutrition risk at baseline using NUTRIC-score. Logistic and linear regression models were used to analyze the association between NUTRIC-score and clinical outcomes (days on mechanical ventilation, hospital length of stay, and in-hospital mortality). A survival analysis was performed using Kaplan-Meier curves. Results: a total of 112 patients were included, 39.3 % were overweight and 47.3 % were obese. Based on NUTRIC-Score, 66 % and 34 % of patients were at high and low nutritional risk, respectively. High nutritional risk was associated with increased mortality risk (OR: 2.4, 95 % CI, 1.06-5.47, p = 0.036) and higher 28-day mortality (HR: 2.05, 95 % CI, 1.01-4.23, p = 0.04) in comparison with low risk. Conclusion: high nutritional risk is related to mortality in SARS-CoV-2 critically ill patients. Overweight and obesity are common in this sample. More studies are needed to elucidate the impact of nutritional therapy on infection course and outcomes.

INTRODUCCIÓN: Introducción: el riesgo nutricional se asocia a peores desenlaces en los pacientes en estado crítico. El objetivo de este estudio es describir la asociación entre el riesgo nutricional y los días de estancia hospitalaria, los días de ventilación mecánica y la mortalidad en pacientes infectados por el SARS-CoV-2. Métodos: cohorte retrospectiva de pacientes en estado crítico bajo ventilación mecánica invasiva. Se evaluó el riesgo nutricional utilizando la herramienta NUTRIC-Score. Se utilizaron regresiones lineares y logísticas para evaluar la asociación entre el riesgo nutricional y los desenlaces clínicos (días de ventilación mecánica, días de estancia hospitalaria y mortalidad hospitalaria). Se utilizaron curvas de Kaplan-Meier para analizar la sobrevivencia. Resultados: se incluyeron 112 pacientes, el 39,3 % con diagnóstico de sobrepeso y el 47,3 % con obesidad de acuerdo con el IMC. Utilizando la herramienta NUTRIC-Score, el 66 % tenían riesgo nutricional alto y el 34 % riesgo nutricional bajo. El riesgo nutricional alto se asoció a un mayor riesgo de mortalidad (OR: 2,4; IC 95 %: 1,06-5,47; p = 0,036) y mayor mortalidad a 28 días (HR: 2,05; IC 95 %: 1,01-4,23; p = 0,04) en comparación con los individuos con riesgo nutricional bajo. Conclusión: el riesgo nutricional alto se asocia con mortalidad en los pacientes con infección por SARS-CoV-2 en estado crítico. El sobrepeso y la obesidad son comunes en este grupo de pacientes. Se necesitan más estudios que evalúen el impacto de la terapia nutricional sobre el curso de la infección y los desenlaces clínicos.

Higher BMI Confers a Long-Term Functional Status Advantage in Elderly New Zealand European Stroke Patients.

OBJECTIVE: Obesity is a risk factor for ischaemic stroke but provides a survival advantage. The relationship between body mass index (BMI) and long-term function is less clear. The presence of an obesity paradox can inform clinical care and identify vulnerable patients who need additional support post-stroke. MATERIALS AND METHODS: This study used linked health administrative data of a population based cohort of adult patients who experienced an ischaemic stroke between 2012 and 2017 in New Zealand. Patient demographics were obtained from the National Minimum Dataset (NMDS). BMI and Activities of Daily Living scores (ADLs) for the same patients were obtained from the International Resident Assessment Instrument (InterRAI™). RESULTS: Linked data was obtained for 3731 patients. Ninety-five percent of the cohort were aged 65 or older and the average age of stroke was 84.5 years. The majority of patients (55%) identified as New Zealand European. Beta regression indicated BMI and European ethnicity were negatively associated with ADL score. Univariate analysis confirmed patients with underweight stroke had significantly higher ADL scores than other BMI categories (p<0.001), however functional status for patients with overweight and obesity were comparable. Further, Asian and Pacific Peoples had higher ADL scores than Europeans (p<0.05). A higher BMI was advantageous to all ADL subscores. CONCLUSION: An abridged obesity paradox was evident in our cohort of stroke patients where a BMI in the overweight, but not obese range conferred a long-term functional status advantage. Collectively these results suggest underweight and non-European patients may require additional supportive clinical care post-stroke.

Overweight improves long-term survival in Japanese patients with asthma.

BACKGROUND: Obesity is a risk factor for severe and difficult-to-treat asthma. However, the impact of different physiques on long-term outcomes is poorly understood. We aimed to investigate the correlation between obesity and asthma-associated long-term mortality in Japanese adults. METHODS: From the data on 3146 individuals with air pollution-related respiratory diseases in the Omuta City Air Pollution-Related Health Damage Cohort Program, 697 adult patients with asthma were analyzed. Hazard ratios for long-term all-cause and respiratory disease -related mortality were compared in patients with different physiques using the Cox proportional hazard models. The classification of physiques was based on the WHO obesity criteria. RESULTS: Of the 697 patients, 439 died during the median observation period of 26.3 years. The number (% of total) of underweight, normal-weight, pre-obese, and obese class I-III individuals were 75 (10.8%), 459 (65.9%), 140 (20.1%), and 23 (3.3%), respectively. The Cox proportional hazard model (adjusted hazard ratio [95% confidence interval], P value) showed that pre-obese group had a significantly reduced risk for all-cause (0.65 [0.51 to 0.83], P < 0.05) and respiratory disease (0.55 [0.37 to 0.81], P < 0.05)-related mortality related to normal-weight group. CONCLUSIONS: Our cohort program demonstrated that being slightly overweight may reduce the risk of long-term mortality in patients with asthma. However, the influence of obesity on long-term outcomes remains unclear in asthma, because of the small number of obese patients included in our study. Our findings suggest that interventions, including nutrition and exercises, should be provided to Japanese patients with asthma.

Association between Body Mass Index and Short-Term Clinical Outcomes in Critically Ill Patients with Sepsis: A Real-World Study.

BACKGROUND: Obesity is now recognized as one of the major public health threats, especially for patients with a critical illness. However, studies regarding whether and how body mass index (BMI) affects clinical outcomes in patients with sepsis are still scarce and controversial. The aim of our study was to determine the effect of BMI on critically ill patients with sepsis. MATERIALS AND METHODS: We performed this study using data from the Medical Information Center for Intensive Care III database. A multivariate Cox regression model was used to assess the independent association of BMI with the primary outcome. RESULTS: A total of 7,967 patients were enrolled in this study. Firstly, we found that the 28-day mortality was reduced by 22% (HR = 0.78, 95% CI 0.69-0.88) and 13% (HR = 0.87, 95% CI 0.78-0.98) for obese and overweight compared to normal weight, respectively. Subsequently, a U-shaped association of BMI with 28-day mortality was observed in sepsis patients, with the lowest 28-day mortality at the BMI range of 30-40 kg/m2. Finally, significant interactions were observed only for sex (P = 0.0071). Male patients with a BMI of 25-30 kg/m2 (HR = 0.74, 95% CI 0.63-0.86) and 30-40 kg/m2 (HR = 0.63, 95% CI 0.53-0.76) had a significantly lower risk of 28-day mortality. CONCLUSIONS: A U-shaped association of BMI with 28-day mortality in critically ill sepsis patients was found, with the lowest 28-day mortality at a BMI range of 30-40 kg/m2. Notably, male patients were protected by a higher BMI more effectively than female patients as males had a significantly lower mortality risk.

Association of the Obesity Paradox With Objective Physical Activity in Patients at High Risk of Sudden Cardiac Death.

OBJECTIVE: To investigate the obesity paradox and its interrelationship with objective physical activity (PA) in patients at high risk of sudden cardiac death. METHODS: A total of 782 patients with implantable cardioverter-defibrillators/cardiac resynchronization therapy defibrillators in the Study of Home Monitoring System Safety and Efficacy in Cardiac Implantable Electronic Device-Implantable Patients registry were retrospectively analyzed and grouped by body mass index (BMI) (kg/m2): normal weight (18.5 ≤ BMI < 25) and overweight or class I obesity (25 ≤ BMI < 35). PA was measured with home monitoring and categorized into 4 groups (Q1-Q4) by the baseline quartiles. The main endpoint was all-cause mortality. RESULTS: During a mean follow-up period of 59.9 ±â€…21.9 months, 182 all-cause mortality events occurred. Mortality tended to be lower in overweight and obesity patients (18.9% vs 25.1%, P = 0.061) and decreased by PA quartiles (44.1% vs 22.6% vs 15.3% vs 11.2%, Q1-Q4, P < 0.001). Multivariate Cox analysis indicated BMI (hazard ratio, 0.918; 95% confidence interval, 0.866-0.974; P = 0.004) and PA (0.436, 0.301-0.631, Q2 vs Q1; 0.280, 0.181-0.431, Q3 vs Q1; 0.257, 0.158-0.419, Q4 vs Q1; P < 0.001 for all) were associated with reduced risk. The obesity paradox was significant in the total cohort (log rank P = 0.049) and low PA group (log rank P = 0.010), but disappeared in the high PA group (log rank P = 0.692). Dose-response curves showed a significant reduction in risk with low-moderate PA, and the pattern varied between different BMI groups. CONCLUSIONS: The obesity paradox only persisted in physically inactive patients. PA might be related to the development of the obesity paradox.

Association of Weight Loss Between Early Adulthood and Midlife With All-Cause Mortality Risk in the US.

Importance: Describing potential mortality risk reduction associated with weight loss between early adulthood and midlife is important for informing primary and secondary prevention efforts for obesity. Objective: To examine the risk of all-cause mortality among adults who lost weight between early adulthood and midlife compared with adults who were persistently obese over the same period. Design, Setting, and Participants: Combined repeated cross-sectional analysis was conducted using data from the National Health and Nutrition Examination Survey III (1988-1994) and continuous waves collected in 2-year cycles between 1999 and 2014. The data analysis was conducted from February 10, 2019, to April 20, 2020. Individuals aged 40 to 74 years at the time of survey (baseline) were included in the analyses (n = 24 205). Exposures: Weight history was assessed by self-reported weight at age 25 years, at 10 years before baseline (midlife: mean age, 44 years; interquartile range, 37-55), and measured weight at baseline. Body mass index (BMI) (calculated as weight in kilograms divided by height in meters squared) at each time was categorized as normal (18.5-24.9), overweight (25.0-29.9), and obese (≥30.0). Weight change patterns were assessed from age 25 years (early adulthood) to 10 years before baseline (midlife). Main Outcomes and Measures: Incident all-cause mortality using linked data from the National Death Index. Results: Of the 24 205 participants, 11 617 were women (49.0%) and 11 567 were non-Hispanic White (76.9%). The mean (SD) BMI was 29.0 (6.1) at baseline. During a mean (SD) follow-up of 10.7 (7.2) years, 5846 deaths occurred. Weight loss from obese to overweight was associated with a 54% (hazard ratio, 0.46; 95% CI, 0.27-0.77) reduction in mortality risk compared with individuals with stable obesity between early adulthood and midlife. An estimated 3.2% (95% CI, 1.6%-4.9%) of early deaths could have been avoided if those who maintained an obese BMI instead lost weight to an overweight BMI by midlife. Overall, an estimated 12.4% (95% CI, 8.1%-16.5%) of early deaths may be attributable to having weight in excess of the normal BMI range at any point between early and mid-adulthood. Conclusions and Relevance: In this study, weight loss from obesity to overweight between early adulthood through midlife appeared to be associated with a mortality risk reduction compared with persistent obesity. These findings support the importance of population-based approaches to preventing weight gain across the life course and a need for greater emphasis on treating obesity early in life.

Impact of obesity on hospitalizations and mortality, due to COVID-19: A systematic review.

The aim of the current review was to assess whether there was an association between obesity and higher levels of hospitalization, poor outcomes and mortality due to the disease of novel coronavirus (COVID-19). METHODOLOGY: A systematic review of articles on the novel coronavirus, containing information on obesity and its association with COVID-19 morbidity and mortality. In the bibliographic research, four databases were used, with the terms ['COVID-19'] AND ['hospitalization'] AND ['obesity'] AND ['mortality']. Studies published from 12/01/2019 until 05/01/2020 were included. The research contains inclusive criteria targeting studies of humans adults infected by Sars-Cov-2, with or without comorbidities. This research was selected from publications in Spanish and English languages. RESULTS: 96 articles were identified, 15 being presented in two databases. Twenty articles were included, with a population total estimated from 1 to 7671 patients, with a prevalence of obesity ranging from 13.3% to 68.6%. The association of obesity and mortality has been observed in at least 4 studies, that 85.3% of the population was hospitalized. Among 19 of the 20 studies, more severe forms of the disease were observed and in 14 of them, higher rates of complications among obese people infected with the new coronavirus. Limitation differences in the definition of obesity was observed among publications, of which obesity was considered from a body mass index >25 kg/m². CONCLUSIONS: In the current review, obesity and overweight were represented an unfavorable factor for infection of novel coronavirus, where the higher the BMI the worse the outcomes. This occurred by worsening the infection itself, as well as increasing the prevalence of hospitalizations, worst outcomes and greater lethality; especially when co-occurring with other chronic conditions and in the elderly as well. Given this evidence, greater attention is suggested to the obese and overweight population in the face of the current pandemic.

Geriatric assessment domains to predict overall survival in older cancer patients: An analysis of functional status, comorbidities, and nutritional status as prognostic factors.

Cancer treatments for older patients must account for heterogeneity in health and functional status. Guidelines advocate the use of geriatric assessments (GAs), but comprehensive assessments are laborious and the utility of specific GA domains remains unclear. The identification of specific domains as prognostic factors may support survival predictions and treatment decisions. We aimed to evaluate the associations between several GA domains and overall survival in older cancer patients. We linked cancer registry data and administrative claims data from cancer patients residing in Osaka Prefecture, Japan. The subjects were patients aged ≥70 years who received a diagnosis of gastric, colorectal, or lung cancer between 2010 and 2014 at 36 designated cancer care hospitals. The following three GA domains were assessed at cancer diagnosis: functional status through activities of daily living (ADL), comorbidities, and nutritional status through body mass index. Cox proportional hazards models were constructed for the three cancer types to estimate each domain's prognostic effect while adjusting for gender, age, and cancer stage. Adjusted hazard ratios (HRs) for all-cause mortality were calculated. We identified 5,559, 4,746, and 4,837 patients with gastric, colorectal, and lung cancer respectively. ADL impairment (HRs: 1.39-3.34, 1.64-2.86, and 1.24-3.21 for gastric, colorectal, and lung cancer, respectively), comorbidities (1.32-1.58, 1.33-1.97, and 1.19-1.29 for gastric, colorectal, and lung cancer, respectively), and underweight (1.36, 1.51, and 1.54 for gastric, colorectal, and lung cancer, respectively) were significantly associated with poorer overall survival. In contrast, overweight was significantly associated with improved overall survival (HRs: 0.82 and 0.89 for gastric and lung cancer respectively). The addition of the three domains increased the models' C-statistics (0.816 to 0.836, 0.764 to 0.787, and 0.759 to 0.783 for gastric, colorectal, and lung cancer respectively). Incorporating these factors into initial patient evaluations during diagnosis may aid prognostic predictions and treatment strategies in geriatric oncology.

All-cause mortality in metabolically healthy individuals was not predicted by overweight and obesity.

BACKGROUNDMetabolically healthy obesity (MHO) and metabolically healthy overweight (MH-OW) have been suggested to be important and emerging phenotypes with an increased risk of cardiovascular disease (CVD). However, whether MHO and MH-OW are associated with all-cause mortality remains inconsistent.METHODSThe association of MHO and MH-OW and all-cause mortality was determined in a Chinese community-based prospective cohort study (the Kailuan study), including 93,272 adults at baseline. Data were analyzed from 2006 to 2017. Participants were categorized into 6 mutually exclusive groups, according to BMI and metabolic syndrome (MetS) status. The primary outcome was all-cause death, and accidental deaths were excluded.RESULTSDuring a median follow-up of 11.04 years (interquartile range, 10.74-11.22 years), 8977 deaths occurred. Compared with healthy participants with normal BMI (MH-NW), MH-OW participants had the lowest risk of all-cause mortality (multivariate-adjusted HR [aHR], 0.926; 95% CI, 0.861-0.997), whereas there was no increased or decreased risk for MHO (aHR, 1.009; 95% CI, 0.886-1.148). Stratified analyses and sensitivity analyses further validated that there was a nonsignificant association between MHO and all-cause mortality.CONCLUSIONSOverweight and obesity do not predict increased risk of all-cause mortality in metabolic healthy Chinese individuals.FUNDINGNational Natural Science Foundation of China (NSFC; 81673247, 81872682 and 81773527), the NSFC Joint Project, and the Australian National Health and Medical Research Council (NHMRC; NSFC 81561128020-NHMRC APP1112767).

Actual causes of death in Alaska.

We estimated 2011-2015 Alaska mortality from modifiable behavioural risk factors using relative risks, hazard ratios, and population attributable fraction estimates from a comprehensive review of peer-reviewed literature; prevalence estimates from government reports; as well as data from the Alaska Department of Environmental Conservation for 2011-2015. To identify the number of deaths attributable to specified risk factors, we used mortality data from the Alaska Division of Public Health, Health Analytics & Vital Records Section. Data included actual reported deaths of Alaska residents for 2011-2015 that matched relevant underlying International Classification of Diseases and Related Health Problems 10th Revision codes. The actual causes of death in Alaska in 2011-2015 were estimated to be overweight/physical inactivity (20% of all deaths, 26% of Alaska Native deaths), smoking (18%/18%), alcohol consumption (9%/13%), firearms (4%/4%), and drug use (3%/3%). Other actual causes of death included microbial agents (3%/4%), motor vehicles (2%/2%), and environmental pollution (1%/1%). This updated methodology reveals that overweight/physical inactivity was the leading cause of death in Alaska, followed closely by smoking. Just three preventable causes made up almost 60% of all deaths, and almost 70% of deaths among Alaska Native people, both highlighting disparities and underscoring prevention needs.

Malnutrition is associated with increased risk of hospital admission and death in the first 18 months of institutionalization.

OBJECTIVES: This study aimed to investigate the association between different nutritional and anthropometric parameters with the risk of hospitalizations and death within 18 months from nursing home admission. Our hypothesis was that measures of malnutrition could be more strongly associated with worse clinical outcomes than measures of overweight/obesity. METHODS: This prospective study involved 144 older adults newly admitted in nursing home and followed up over 18 months. A multidimensional assessment focusing on clinical, functional and cognitive status was performed at baseline. Assessment also included body mass index (BMI), waist circumference, calf circumference, MNA Short-Form (MNA-SF), and serum albumin and lymphocytes levels. Anthropometric measurements were repeated at 6 months. Data on hospitalizations and mortality over the study period, with their respective causes, were obtained from administrative data. The associations between baseline nutritional parameters and the risk of hospitalizations or death were analyzed through multinomial logistic regressions and Cox regressions, respectively. RESULTS: During the follow-up, 64 individuals (44.4%) were hospitalized, and 52 (36.1%) died. Residents who reported low MNA-SF and calf circumference at nursing home admission had more than threefold-increased odds of hospitalizations compared with their healthier counterparts. Adults with low calf circumference also had the highest mortality (HR = 3.39, 95%CI:1.80-6.39), while more attenuated results were observed for low serum albumin, MNA-SF, and BMI (either when considering cut-offs of excess weight or malnutrition). When assessing the associations between 0 and 6 month changes in calf circumference and mortality in the following 12 months, we found that each 1 cm decrease in calf circumference increased the one-year mortality by 29% (95%CI 1.04-1.60). CONCLUSIONS: Malnutrition, but not overweight/obesity, seems associated with a higher risk of hospitalization and mortality after nursing home admission. Monitoring calf circumference, in particular, may help in the early detection of individuals who are potentially vulnerable to adverse health-related outcomes after institutionalization.

Post-transplant obesity impacts long-term survival after liver transplantation.

BACKGROUND: Short-term survival after orthotopic liver transplantation (OLT) has improved over the past decades, but long-term survival remains impaired. The effects of obesity on long-term survival after OLT are controversial. Because pre-transplant body mass index (BMI) can be confounded by ascites, we hypothesized that post-transplant BMI at 1 year could predict long-term survival. METHODS: A post-hoc analysis was performed of an observational cohort study consisting of adult recipients of a first OLT between 1993 and 2010. Baseline BMI was measured at 1-year post-transplantation to represent a stable condition. Recipients were stratified into normal weight (BMI < 25 kg/m2), overweight (25 ≤ BMI ≤ 30 kg/m2), and obese (BMI > 30 kg/m2). Kaplan-Meier survival analyses were performed with log-rank testing, followed by multivariable Cox proportional hazards regression analysis. RESULTS: Out of 370 included recipients, 184 had normal weight, 136 were overweight, and 50 were obese at 1-year post-transplantation. After median follow-up for 12.3 years, 107 recipients had died, of whom 46 (25%) had normal weight, 39 (29%) were overweight, and 22 (44%) were obese (log-rank P = 0.020). Obese recipients had a significantly increased mortality risk compared to normal weight recipients (HR 2.00, 95% CI 1.08-3.68, P = 0.027). BMI was inversely associated with 15 years patient survival (HR 1.08, 95% CI 1.03-1.14, P = 0.001 per kg/m2), independent of age, gender, muscle mass, transplant characteristics, cardiovascular risk factors, kidney- and liver function. CONCLUSION: Obesity at 1-year post-transplantation conveys a 2-fold increased mortality risk, which may offer potential for interventional strategies (i.e. dietary advice, lifestyle modification, or bariatric surgery) to improve long-term survival after OLT.