Body mass index is inversely related to mortality in older people after adjustment for waist circumference

Examination of Gait Characteristics Related to Sarcopenia in Community-Dwelling Older Adults: A Study Focusing on Plantar Pressure

BACKGROUND

Sarcopenia is a condition characterized by a decrease in skeletal muscle mass and strength with age, which results in a lower gait speed. Decreased gait speed in older individuals with sarcopenia can lead to adverse events such as falls and mortality. It is a major health issue; several studies have investigated gait speed in sarcopenia. However, plantar pressure has not been sufficiently evaluated. Plantar pressure facilitates gait analysis, including gait speed, and plays an important role in preventing adverse events such as falls and mortality. Therefore, the current study aimed to validate gait characteristics, including plantar pressure in community-dwelling older adults with sarcopenia.

METHODS

The current study included community-dwelling Japanese adults aged ≥60 years who participated in health checkups between 2013 and 2018. Sarcopenia was diagnosed by measuring muscle mass and strength based on clinical definition (nonsarcopenia: n = 7662; probable sarcopenia: n = 1208; and sarcopenia: n = 477). Gait parameters (including gait speed, relative plantar pressure, cadence, stride length, step length, step width and foot angle) were measured at a comfortable speed using a computerized electronic walkway. Gait parameters between groups were compared via an analysis of covariance adjusted for age and BMI. In addition, post hoc analyses were performed with Bonferroni correction.

RESULTS

The sarcopenia and probable sarcopenia groups had a significantly lower gait speed than the nonsarcopenia group (p < 0.01). Further, the sarcopenia and probable sarcopenia groups had a significantly lower forefoot plantar pressure, stride length and cadence than the nonsarcopenia group (all p < 0.01). When comparing, the sarcopenia group had a greater medial plantar pressure, step length, and foot angle and a lower lateral plantar pressure, cadence, and step width than the probable sarcopenia group (all p < 0.01).

CONCLUSION

The sarcopenia, probable sarcopenia and nonsarcopenia groups differed concerning gait characteristics, including plantar pressure. It is thought that exercise instruction that takes into account walking characteristics is important for probable sarcopenia and sarcopenia.

Association between a body shape index and bone mineral density in US adults based on NHANES data

The relationship between a body shape index (ABSI) and bone mineral density (BMD) remains uncertain, prompting further investigation. This study aims to elucidate the association between ABSI and BMD using data from the 2011-2018 National Health and Nutrition Examination Survey (NHANES), involving participants aged 20-60. ABSI was calculated using the formula: ABSI = 1000 × waist circumference (m)×weight (kg)-2/3×height (m)5/6. The analysis employed weighted multiple linear regression, smooth curve fitting, stratified analysis, and interaction tests to explore the relationship between ABSI and total BMD. The study included 10,291 participants, with a mean age of 39.11 ± 10.77 years, and 49.20% were women. The average ABSI was 80.21 ± 1.50. Total BMD, thoracic spine BMD, lumbar spine BMD, and pelvis BMD were measured, with mean values of 0.82 ± 0.11 g/cm², 1.03 ± 0.15 g/cm², and 1.24 ± 0.16 g/cm2, respectively. A negative correlation between ABSI and total BMD was observed. In the fully adjusted model, individuals in the highest ABSI quartile had total BMD levels 0.045 g/cm² lower than those in the lowest quartile. Interaction tests showed a consistent association between ABSI and total BMD across subgroups, with variations in sex and BMI. This analysis of NHANES data confirms a persistent negative association between ABSI and BMD, suggesting that ABSI could be useful in osteoporosis prevention and diagnosis.

Triglyceride-Glucose Index Levels Positively Associated with Higher Risk of Low Muscle Mass in Patients with Type 2 Diabetes

Aim

Although the interplay of insulin resistance (IR) and low muscle mass is increasingly recognized, it remains unknown whether the triglyceride-glucose (TyG) index, as an indicator of IR, is associated with low muscle mass in patients with type 2 diabetes (T2D). Our study aimed to investigate the association between TyG index and low muscle mass in hospitalized T2D patients.

Methods

This cross-sectional study involved 2687 hospitalized participants with T2D. The TyG index was calculated by fasting plasma glucose (FPG) and triglyceride levels. The outcome variables were defined as appendicular skeletal muscle mass index (ASMI) and low muscle mass. To explore the relationship between TyG index and low muscle mass, we conducted the multivariate linear regression, multivariate logistic regression, and subgroup analysis.

Results

In the fully adjusted multivariate linear regression, there was a negative correlation between TyG index (β=-0.10, 95% CI: -0.14, -0.06) and ASMI. TyG index (OR = 1.34, 95% CI: 1.08, 1.65) had a more significant association with low muscle mass compared to FPG (OR = 1.05, 95% CI: 1.01, 1.09) and glycated hemoglobin A1c (OR = 1.07, 95% CI: 0.99, 1.15). The statistical significance of the trend persisted among the TyG index quartile groups. Subgroup analysis revealed stronger positive associations between TyG index and low muscle mass in females, individuals aged 60 years or older, those with a body mass index of 28kg/m2 or higher, and HbA1c levels of 6.5% or higher, as well as those with hypertension and dyslipidemia.

Conclusion

A higher TyG index level is positively associated with a higher risk of low muscle mass, suggesting that TyG index could be a potential biomarker of low muscle mass in hospitalized T2D patients.

Neural network model for prediction of possible sarcopenic obesity using Korean national fitness award data (2010-2023)

Sarcopenic obesity (SO) is characterized by concomitant sarcopenia and obesity and presents a high risk of disability, morbidity, and mortality among older adults. However, predictions based on sequential neural network SO studies and the relationship between physical fitness factors and SO are lacking. This study aimed to develop a predictive model for SO in older adults by focusing on physical fitness factors. A comprehensive dataset of older Korean adults participating in national fitness programs was analyzed using sequential neural networks. Appendicular skeletal muscle/body weight was defined as SO using an anthropometric equation. Independent variables included body fat (BF, %), waist circumference, systolic and diastolic blood pressure, and various physical fitness factors. The dependent variable was a binary outcome (possible SO vs normal). We analyzed hyperparameter tuning and stratified K-fold validation to optimize a predictive model. The prevalence of SO was significantly higher in women (13.81%) than in men, highlighting sex-specific differences. The optimized neural network model and Shapley Additive Explanations analysis demonstrated a high validation accuracy of 93.1%, with BF% and absolute grip strength emerging as the most influential predictors of SO. This study presents a highly accurate predictive model for SO in older adults, emphasizing the critical roles of BF% and absolute grip strength. We identified BF, absolute grip strength, and sit-and-reach as key SO predictors. Our findings underscore the sex-specific nature of SO and the importance of physical fitness factors in its prediction.

Mortality risk relationship using standard categorized BMI or knee-height based BMI - does the overweight/lower mortality paradox hold true?

BACKGROUND

The body mass index (BMI) is prone to misclassification of obesity due to age-related height loss and resulting measurement errors. Knee-height based BMI (KH-BMI) has not been previously studied in relation to mortality risk in older adults.

AIM

To evaluate the age- and sex-specific mortality risk relationship using classic BMI and knee height predicted BMI (KH-BMI) overweight and obesity in a 15-year follow-up study including older Swedish adults aged 60-93 years.

METHODS

A 15-year follow-up study among 2,786 individuals aged ≥ 60 years. Height, weight and KH were measured. KH-predicted height was estimated using formulated gender-specific equations. Classic BMI and KH-BMI (kg/m2) were calculated. Mortality data was obtained from the Swedish death registry. Questionnaires were used to collect data on obesity-related lifestyle factors and comorbidities.

RESULTS

Cox regression revealed that using the classic BMI, when comparing with the normal/underweight reference group, there was a mortality risk among overweight men (HR = 0.67, 0.52-0.87), overweight women (HR = 0.79, 0.65-0.97), and obese men (HR = 0.60, 0.41-0.89) aged ≥ 80 years old. Using the KH-BMI, only overweight men and overweight women aged ≥ 80 years had a lower mortality risk, men (HR = 0.71, 0.55-0.92); women (HR = 0.77, 0.62-0.95) after adjusting for obesity-related lifestyle factors and comorbidities.

DISCUSSION

There is evidence that obesity is overestimated by the BMI, in comparison with the KH-BMI classification. In terms of mortality risk and after adjusting for height, there remains a paradoxical protective association between overweight and mortality.

CONCLUSION

Regardless of classic BMI or KH-BMI estimation, overweight men and women aged ≥ 80 years had a lower mortality risk compared to normal/underweight men and women ≥ 80 years.

A body shape index is useful for BMI-independently identifying Japanese patients with obesity at high risk of cardiovascular disease

BACKGROUND AND AIM

Obesity with multiple metabolic syndrome (MetS) components and/or with skeletal muscle loss is at high risk of cardiovascular disease (CVD). This study aimed to clarify the utility of anthropometric indices for identifying patients with overweight/obese at high risk of CVD based on having multiple MetS components and skeletal muscle loss.

METHODS & RESULTS

This cross-sectional study included 188 overweight/obese (BMI ≥25 kg/m2, Japanese patients; 73 men and 115 women, mean age 55.7 years). First, we performed correlation analysis among seven anthropometric indices, body mass index (BMI), percentage body fat, waist circumference (WC), waist-to-hip ratio (WHpR), waist-to-height ratio (WHtR), a body shape index (ABSI), and body roundness index (BRI). Unlike the others, only ABSI was not correlated with BMI. Then, we conducted receiver operating characteristic analysis to assess the predictive abilities of anthropometric indices for having multiple MetS components. WC, WHpR, WHtR, BRI, and ABSI had significant predictive abilities for having multiple MetS components. Furthermore, multiple regression analysis showed that only ABSI had significantly negative associations with all sarcopenia-evaluated indices (skeletal muscle mass index [SMI], handgrip strength [HGS], and muscle quality [MQ]), irrespective of sex and age. Finally, an analysis of covariance showed that the high ABSI group had significantly lower SMI and HGS than the low ABSI group, irrespective of sex and age.

CONCLUSION

ABSI was deemed useful for BMI-independently identifying Japanese patients with overweight/obese at high risk of CVD based on having multiple MetS components and skeletal muscle loss. Clinical trials (the unique trial number and the name of the registry) ID: UMIN000042726.

Ratio of waist circumference to body mass index: A novel predictor of clinical outcome in hypertension patients

We aim to investigate the influence of waist circumference and body mass index (BMI) on all-cause death and cardiovascular-specific death in patients with hypertension. This prospective cohort study, based on waist circumference and body mass index measurements in patients with hypertension, provided risk estimates of all-cause mortality and cardiovascular events. The waist circumference-to-BMI ratio (WtBR) is an anthropometric measure integrating waist circumference and BMI. We utilized multivariable Cox regression analysis, restricted cubic spline model, Kaplan-Meier plot, random forest analysis, and sensitivity analysis to assess the relationship of WtBR with all-cause mortality. Subsequently, Fine-Gray competing risk regression models were applied to precisely evaluate the probability of cardiovascular-specific death attributed to high WtBR. The results indicate that thea deceased group showed significantly higher WtBR and lower BMI compared with the alive groups (P < .05), while no significant difference was observed in waist circumference (P = .373). When analyzed as continuous, the risk of all-cause death elevated with increasing WtBR in the adjusted model with an HR of 2.42 (95% CI, 2.06-2.85). The restricted cubic spline illustrated an elevated risk of all-cause mortality as WtBR increased (J-shaped curve). Nevertheless, WtBR showed no significant association with cardiovascular-specific death and the prediction model exhibited a reliable performance in the testing set. This study supported that WtBR, an anthropometric measure, is independently associated with all-cause death in hypertensive patients. It's advisable to routinely assess waist circumference in hypertensive patients regardless of BMI, in order to more effectively manage the risk of obesity-related health.

Revisiting Waist Circumference: A Hypertension Risk Factor that Requires a More In-depth Understanding

As a major cause of various cardiovascular diseases, the prevalence of hypertension has been increasing in the past 30 years, leading to significant socioeconomic and health burdens. Obesity is one of the major risk factors for hypertension. Body mass index (BMI) is the most used anthropometric index to measure obesity in clinical practice and to assess the risk of obesity-related diseases. However, obesity is a heterogeneous disease, and the accumulation of fat in different body regions leads to differences in cardiovascular and metabolic risks. BMI only reflects the overall obesity but does not consider the distribution of fat and muscle mass. The limitation of BMI makes it insufficient to assess the risk of hypertension attributed to obesity. In addition, waist circumference is an easily obtainable anthropometric index to evaluate abdominal fat distribution. High waist circumference is an independent risk factor for various cardiovascular diseases and all-cause mortality regardless of BMI. Preliminary data indicate that waist circumference is significantly associated with the risk of hypertension at different BMI levels. However, routine measurement of waist circumference is currently not required in current clinical guidelines or is only recommended for obese populations, indicating an insufficient understanding of waist circumference. In this review, we summarize the measurement methods and diagnostic thresholds of waist circumference for abdominal obesity, the trend of central obesity prevalence, the superiority of waist circumference over other anthropometric indices, and recent cross-sectional and longitudinal studies on the association between obesity and hypertension.

Association of changes in body mass index and waist circumference with cardiovascular risk in non-alcoholic fatty liver disease: A nationwide study

BACKGROUND

We investigated whether changes in body mass index (BMI) and waist circumference (WC) are associated with cardiovascular risk in patients with NAFLD using a nationwide dataset.

METHODS

Using the National Health Insurance Service-Health Screening Cohort (NHIS-HEALS) data in Korea, a total of 19,057 subjects who underwent two consecutive medical check-ups (2009-2010 and 2011-2012) and who had a fatty-liver index (FLI) value of ≥ 60 were included in the analysis. Cardiovascular events were defined as the occurrence of stroke or transient ischemic attack, coronary heart disease, and cardiovascular death.

RESULTS

After multivariable adjustment, the risk of cardiovascular events was significantly lower in subjects with decreases in both BMI and WC (HR, 0.83; 95% CI, 0.69-0.99) and those with increased BMI and decreased WC (HR, 0.74; 95% CI, 0.59-0.94) when compared with those who showed increases in both BMI and WC. The effect of cardiovascular risk reduction among the group with increased BMI but decreased WC was particulary pronounced among those who had metabolic syndrome during the second check-up (HR, 0.63; 95% CI 0.43-0.93, p for interaction 0.02).

CONCLUSIONS

Changes in BMI and WC were significantly associated with cardiovascular risk in NAFLD patients. NAFLD patients with increased BMI and decreased WC had the lowest cardiometabolic risk.

Relationship between body mass index and risk of delirium in an intensive care unit

OBJECTIVE

Delirium in the intensive care unit (ICU) is a common and critical condition that leads to poor prognosis in older patients, but the association between body mass index (BMI) and the incidence of delirium remains unclear.

METHODS

We retrospectively analyzed 5,622 patients admitted to the ICU of a tertiary referral hospital between 2013 and 2022. We collected sociodemographic data, vital signs, laboratory results, and delirium scale scores. We subdivided the patients into four categories: underweight (<18.5 kg/m²), normal weight (18.5-22.9 kg/m²), overweight (23-24.9 kg/m²), and obese (>25 kg/m²). The primary outcome was the incidence of delirium according to the BMI categories. We performed multivariable logistic regression analysis, adjusted for sex, age, past smoking and alcohol history, benzodiazepine use, and laboratory abnormalities.

RESULTS

Among the 5,622 patients in the ICU (mean age, 72.9 years; male, 60.1%; mean BMI, 24.2 kg/m²⁾, the incidence of delirium was 19.0% (1,069 patients). The mean modified incidence of delirium was higher among underweight patients (odds ratio [OR]=1.51, confidence interval [CI]=1.07-2.12, p = 0.02) than among normal-weight patients. Overweight and obese status were not independently associated with delirium (OR=0.90, CI=0.70-1.17, p = 0.43; OR= 0.97; CI=0.77-1.21, p = 0.78, respectively). The area under the receiver-operating characteristic curve of the multivariable logistic regression model was 0.71 (95% CI=0.69-0.73).

CONCLUSIONS

Underweight status is an independent risk factor for delirium in the ICU. Additional caution is required when evaluating underweight patients for delirium. Obese or overweight status are not associated with delirium, providing evidence for the obesity paradox.

High-Risk Obesity Phenotypes: Target for Multimorbidity Prevention at the ROFEMI Study

Background: Describe the profile of patients with obesity in internal medicine to determine the role of adiposity and related inflammation on the metabolic risk profile and, identify various “high-risk obesity” phenotypes by means of a cluster analysis. This study aimed to identify different profiles of patients with high-risk obesity based on a cluster analysis. Methods: Cross-sectional, multicenter project that included outpatients attended to in internal medicine. A total of 536 patients were studied. The mean age was 62 years, 51% were women. Patients were recruited from internal medicine departments over two weeks in November and December 2021 and classified into four risk groups according to body mass index (BMI) and waist circumference (WC). High-risk obesity was defined as BMI > 35 Kg/m2 or BMI 30−34.9 Kg/m2 and a high WC (>102 cm for men and >88 cm for women). Hierarchical and partitioning clustering approaches were performed to identify profiles. Results: A total of 462 (86%) subjects were classified into the high-risk obesity group. After excluding 19 patients missing critical data, two profiles emerged: cluster 1 (n = 396) and cluster 2 (n = 47). Compared to cluster 1, cluster 2 had a worse profile, characterized by older age (77 ± 16 vs. 61 ± 21 years, p < 0.01), a Charlson Comorbidity Index > 3 (53% vs. 5%, p < 0.001), depression (36% vs. 19%, p = 0.008), severe disability (64% vs. 3%, p < 0.001), and a sarcopenia score ≥ 4 (79% vs. 16%, p < 0.01). In addition, cluster 2 had greater inflammation than cluster 1 (hsCRP: 5.8 ± 4.1 vs. 2.1 ± 4.5 mg/dL, p = 0.008). Conclusions: Two profiles of subjects with high-risk obesity were identified. Based on that, older subjects with obesity require measures that target sarcopenia, disability, psychological health, and significant comorbidities to prevent further health deterioration. Longitudinal studies should be performed to identify potential risk factors of subjects who progress from cluster 1 to cluster 2.

"Jolly fat" or "sad fat": a systematic review and meta-analysis of the association between obesity and depression among community-dwelling older adults

OBJECTIVE

To review the evidence and explore the association between obesity and depression in community-dwelling older adults.

METHODS

We searched 6 electronic databases from inception to November 28, 2019. Observational studies investigating the association between obesity and depression among community-dwelling older adults aged 60 years or older were included. Two reviewers independently screened the studies, extracted the data and assessed the quality of the studies. The eligible studies were meta-analysed using the Comprehensive Meta-analysis Version 3.0.

RESULTS

Among the 16,059 studies identified from these databases, 19 studies meeting the inclusion criteria were included, of which 14 were meta-analysed. Meta-analyses showed that older adults who were overweight (pooled odds ratio: 0.847, 95% CI:0.789-0.908, p < 0.001) or obesity (pooled odds ratio: 0.795, 95% CI:0.658-0.960, p = 0.017) - assessed using the body mass index - were significantly less likely to be depressed than their counterparts with a normal weight. No significant association between obesity (as measured via waist circumference) and depression was detected (pooled odds ratio: 0.722, 95% CI:0.465-1.119, p = 0.145) in this group population. The subgroup analyses demonstrated that both female and male older adults with overweight/obesity were significantly less likely to have depression.

CONCLUSIONS

The "jolly fat" hypothesis is deemed to be applicable among community-dwelling older adults. Older adults might, therefore, be encouraged to increase their body weight above the normal level to be mentally healthy. Monitoring intentional weight loss among older adults should be reinforced for public health strategies.

Anthropometric Indices and Age at Natural Menopause: A 15-Year Follow-up Population-Based Study

BACKGROUND

Following menopause, the risk of many diseases is increased, and this situation may be due to changes in anthropometric indices (AI), while the association between adiposity and age at natural menopause (ANM) is not clear yet.

OBJECTIVES

This longitudinal study was conducted to investigate the ability of AI in predicting ANM.

METHODS

For this purpose, a total of 3,876 women aged > 20 years old from participants of the Tehran lipid and glucose study (TLGS) met our eligibility criteria. The association between ANM and various AIs was assessed using the Accelerated Failure Time (AFT) model, and time ratio (TR) with 95% confidence intervals was reported in this longitudinal study.

RESULTS

The median [interquartile range (IQR) 25 - 75] of the survival time was 12.5 (7.9 - 15.8) years. At the end of the follow-up, 1,479 (38.2%) of the participants reached menopause. The median time to natural menopause was decreased by about 2% with one standard deviation (SD) increase of both a body shape index (ABSI) (time ratio (TR): 0.98, 95% CI: 0.97, 0.99) and lipid accumulation product (LAP) (TR: 0.98, 95% CI: 0.98, 0.99) z-scores; and this time was increased by about 1% (TR: 1.01, 95% CI: 1.00, 1.02) with one SD increase in body mass index (BMI) z-score.

CONCLUSIONS

The ABSI, LAP, and BMI were the most useful AIs for identification of the time to menopause onset, and ABSI and LAP were inversely associated with the ANM. Also, the BMI was directly associated with the ANM.

Importance of Anthropometric Measurements to Determine Cardiometabolic Diseases in Obstructive Sleep Apnea Syndrome

OBJECTIVE

Obesity is considered a major risk factor for obstructive sleep apnea syndrome (OSAS). This study aimed to examine the correlation between anthropometric measurements, which have been recently defined and are indicative of abdominal obesity and cardiometabolic diseases, OSAS severity, and polysomnography (PSG) parameters in patients with OSAS.

MATERIAL AND METHODS

This retrospective cohort study included patients who underwent all-night polysomnography with a prediagnosis of OSAS. These patients were categorized as having mild (5-15), moderate (15-30), and severe (>30) OSAS according to the apnea-hypopnea index (AHI). The anthropometric measurements used in the study consisted of waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), (waist/hip)-to-height ratio (WHHR), a body shape index (ABSI), body adiposity index (BAI), abdominal volume index (AVI), and conicity index (CI).

RESULTS

A total of 410 individuals were enrolled in the study (31 control subjects and 129 with mild, 101 with moderate, and 149 with severe OSAS). A significant difference was observed between groups in terms of all anthropometric measurements (p<0.05). The difference between the groups was significant in terms of diabetes mellitus, hypertension, and cardiovascular disease (p<0.05). There was a significant correlation between each of the anthropometric measurements and the PSG parameters. In the receiver operating characteristic analysis, cutoff values that predicted severe OSAS were ABSI>0.08, BAI>28.29, AVI>25.54, and CI>1.37. Multiple regression analyses demonstrated that age, sex, and AVI were independent predictors that determine OSAS presence.

CONCLUSION

Anthropometric parameters that are indicators of abdominal obesity were found to be robustly correlated with cardiometabolic diseases and the severity of OSAS.

Association between "a body shape index" and mortality: Bambuí Cohort Study of Aging, Brazil

This article aims to evaluate the joint and separate association between abdominal and general adiposity indicators and mortality. Data was collected from 1,366 older adults in the Bambuí Cohort Study of Aging with complete information for all variables of interest. The outcome variable was all-cause time until death; exposure variables were a body shape index (ABSI), waist circumference (WC), waist-to-height ratio (WHtR) and body mass index (BMI), assessed at the beginning of the study, and at the 3rd, 5th and 11th year of follow-up. Association between the quartiles of anthropometric indicators and mortality was calculated using an extended Cox proportional hazards model and adjusted for socioeconomic and behavioral confounding factors. Older adults in the 4th ABSI quartile had a higher risk of mortality regardless of BMI (1.27; 95%CI: 1.01-1.58), but this association was not observed in sensitivity analyses. Older adults in the 2nd, 3rd and 4th BMI quartiles had a lower risk of mortality, even when adjusted for WC or ABSI. WC and WHtR showed no association consistent with all-cause mortality after adjustment for confounding factors. Considering the loss of significance in the sensitivity analyses, ABSI's predictive capacity for mortality is still weak. Thus, adopting ABSI in clinical practice or in epidemiological surveys, in conjunction or replacing BMI and WC, requires more in-depth studies.

Quotient of Waist Circumference and Body Mass Index: A Valuable Indicator for the High-Risk Phenotype of Obesity

OBJECTIVE

Measuring the body mass index (BMI) or waist circumference (WC) alone is insufficient for assessing possible health risks due to obesity. This study aimed to investigate whether the quotient of WC and BMI can be used as a proxy of the high-risk phenotype of obesity.

METHODS

Data for analysis were derived from the National Health and Nutrition Examination Survey (NHANES 1999-2014). The Waist-BMI Ratio was defined as WC divided by BMI. The associations between Waist-BMI Ratio and mortality were estimated using Cox regression models. Restricted cubic spline and two-piecewise linear regression models were used to identify non-linear relationships. The discriminative abilities of different anthropometric measures were compared using receiver operating characteristic curves (ROC).

RESULTS

This study is based on data from 35557 adults (51.1% female, mean age 44.9 years). During an average follow-up of 101.8 months, 3680 participants died, including 807 of cardiovascular causes. In fully adjusted models, Waist-BMI Ratio was independently associated with overall (hazard ratio [HR], 1.78; 95% confidence interval [CI], 1.48-2.13) and cardiovascular (HR, 1.77; 95% CI, 1.25-2.52) mortality. Spline analyses revealed that dose-response relationships existed between Waist-BMI Ratio and death. The mortality risk rises dramatically above the cut-off point of the Waist-BMI Ratio (HR, 3.22; 95% CI, 2.43-4.26 for overall mortality and HR, 3.07; 95% CI, 1.71-5.52 for cardiovascular mortality). ROC curve analysis suggested that Waist-BMI Ratio was a better discriminator of mortality (AUC 0.637 for overall and 0.639 for cardiovascular mortality) than BMI, WC, and waist-to-height ratio (Delong's test all P <0.001).

CONCLUSIONS

Waist-BMI Ratio was independently associated with overall and cardiovascular mortality in a J-shaped pattern, offering an immense potential risk marker for obesity in the clinical setting.

The impact of triglyceride-glucose index on incident cardiovascular events during 16 years of follow-up: Tehran Lipid and Glucose Study

BACKGROUND

To investigate whether the Triglyceride-Glucose index (TyG-index) is associated with increased risk of cardiovascular diseases (CVD)/coronary heart disease (CHD).

METHODS

A total of 7521 Iranians aged ≥ 30 years (male = 3367) were included in the study. Multivariate Cox regression analyses (adjusted for age, gender, waist circumference, body mass index, educational level, smoking status, physical activity, family history of CVD, type 2 diabetes, hypertension, low and high density lipoprotein cholesterol, and lipid lowering drugs) were used to assess the risk of incident CVD/CHD across quintiles and for 1-standard deviation (SD) increase in the TyG-index. The cut off point for TyG-index was assessed by the minimum value of [Formula: see text]. We also examined the added value of the TyG-index in addition to the Framingham risk score when predicting CVD.

RESULTS

During follow-up, 1084 cases of CVD (male = 634) were recorded. We found a significant trend of TyG-index for incident CVD/CHD in multivariate analysis (both Ps for tend ≤ 0.002). Moreover, a 1-SD increase in TyG-index was associated with significant risk of CVD/CHD in multivariate analysis [1.16 (1.07-1.25) and 1.19 (1.10-1.29), respectively]. The cut-off value of TyG-index for incident CVD was 9.03 (59.2% sensitivity and 63.2% specificity); the corresponding value of TyG-index for incident CHD was 9.03 (60.0% sensitivity and 62.8% specificity), respectively. Although no interaction was found between gender and TyG-index for CVD/CHD in multivariate analysis (both Ps for interaction > 0.085), the significant trend of TyG-index was observed only among females for incident CVD (P = 0.035). A significant interaction was found between age groups (i.e. ≥ 60 vs < 60 years) and TyG-index for CVD outcomes in the multivariate model (P-value for interaction = 0.046). Accordingly, a significant association between the TyG-index and outcomes was found only among the younger age group. Among the population aged < 60 the addition of TyG-index to the Framingham risk score (FRS) did not show improvement in the predictive ability of the FRS, using integrated discrimination improvement.

CONCLUSION

The TyG-index is significantly associated with increased risk of CVD/CHD incidence; this issue was more prominent among the younger population. However, adding TyG-index to FRS does not provide better risk prediction for CVD.

Central fatness and risk of all cause mortality: systematic review and dose-response meta-analysis of 72 prospective cohort studies

OBJECTIVE

To quantify the association of indices of central obesity, including waist circumference, hip circumference, thigh circumference, waist-to-hip ratio, waist-to-height ratio, waist-to-thigh ratio, body adiposity index, and A body shape index, with the risk of all cause mortality in the general population, and to clarify the shape of the dose-response relations.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

PubMed and Scopus from inception to July 2019, and the reference lists of all related articles and reviews.

ELIGIBILITY CRITERIA FOR SELECTING STUDIES

Prospective cohort studies reporting the risk estimates of all cause mortality across at least three categories of indices of central fatness. Studies that reported continuous estimation of the associations were also included.

DATA SYNTHESIS

A random effects dose-response meta-analysis was conducted to assess linear trend estimations. A one stage linear mixed effects meta-analysis was used for estimating dose-response curves.

RESULTS

Of 98 745 studies screened, 1950 full texts were fully reviewed for eligibility. The final analyses consisted of 72 prospective cohort studies with 2 528 297 participants. The summary hazard ratios were as follows: waist circumference (10 cm, 3.94 inch increase): 1.11 (95% confidence interval 1.08 to 1.13, I2=88%, n=50); hip circumference (10 cm, 3.94 inch increase): 0.90 (0.81 to 0.99, I2=95%, n=9); thigh circumference (5 cm, 1.97 inch increase): 0.82 (0.75 to 0.89, I2=54%, n=3); waist-to-hip ratio (0.1 unit increase): 1.20 (1.15 to 1.25, I2=90%, n=31); waist-to-height ratio (0.1 unit increase): 1.24 (1.12 to 1.36, I2=94%, n=11); waist-to-thigh ratio (0.1 unit increase): 1.21 (1.03 to 1.39, I2=97%, n=2); body adiposity index (10% increase): 1.17 (1.00 to 1.33, I2=75%, n=4); and A body shape index (0.005 unit increase): 1.15 (1.10 to 1.20, I2=87%, n=9). Positive associations persisted after accounting for body mass index. A nearly J shaped association was found between waist circumference and waist-to-height ratio and the risk of all cause mortality in men and women. A positive monotonic association was observed for waist-to-hip ratio and A body shape index. The association was U shaped for body adiposity index.

CONCLUSIONS

Indices of central fatness including waist circumference, waist-to-hip ratio, waist-to-height ratio, waist-to-thigh ratio, body adiposity index, and A body shape index, independent of overall adiposity, were positively and significantly associated with a higher all cause mortality risk. Larger hip circumference and thigh circumference were associated with a lower risk. The results suggest that measures of central adiposity could be used with body mass index as a supplementary approach to determine the risk of premature death.

Relationship Between Body Mass Index and Rehabilitation Outcomes in Subacute Stroke With Dysphagia

OBJECTIVE

The aim of the study was to investigate the association between body mass index and rehabilitation outcome in hemiparetic patients with stroke in subacute phase.

DESIGN

This was a prospective study testing the correlation between body mass index and the effectiveness of rehabilitation, measured using Barthel Index scores. We enrolled patients with subacute stroke (n = 664; age, 68 ± 14 yrs; length of hospital stay, 84 ± 34 days). We assessed the body mass index and Barthel Index both at admission and discharge. The effectiveness of rehabilitation was computed as the percentage increment in Barthel Index score with respect to the maximum achievable improvement.

RESULTS

Effectiveness of rehabilitation was significantly correlated with the body mass index at discharge (R = 0.111, P = 0.004) and percentage change in body mass index (R = 0.253, P < 0.001), but not with body mass index at admission (R = 0.006, P = 0.869).

CONCLUSIONS

In addition to body mass index value, our findings suggest that rehabilitation outcomes can be influenced by the change in body mass index during rehabilitation.

Waist circumference as a vital sign in clinical practice: a Consensus Statement from the IAS and ICCR Working Group on Visceral Obesity

Despite decades of unequivocal evidence that waist circumference provides both independent and additive information to BMI for predicting morbidity and risk of death, this measurement is not routinely obtained in clinical practice. This Consensus Statement proposes that measurements of waist circumference afford practitioners with an important opportunity to improve the management and health of patients. We argue that BMI alone is not sufficient to properly assess or manage the cardiometabolic risk associated with increased adiposity in adults and provide a thorough review of the evidence that will empower health practitioners and professional societies to routinely include waist circumference in the evaluation and management of patients with overweight or obesity. We recommend that decreases in waist circumference are a critically important treatment target for reducing adverse health risks for both men and women. Moreover, we describe evidence that clinically relevant reductions in waist circumference can be achieved by routine, moderate-intensity exercise and/or dietary interventions. We identify gaps in the knowledge, including the refinement of waist circumference threshold values for a given BMI category, to optimize obesity risk stratification across age, sex and ethnicity. We recommend that health professionals are trained to properly perform this simple measurement and consider it as an important 'vital sign' in clinical practice.

Epicardial adipose tissue: A cardiovascular risk marker to evaluate in chronic kidney disease

Chronic kidney disease represents a true inflammatory state, and is related to multiple cardiovascular risk factors. Coronary artery disease is the major complication, and has usually been associated with non-classical or uraemic related factors that include the disturbance of calcium and phosphorus metabolism, among others. Recent clinical evidence shows that specific body fat deposition like epicardial adipose tissue is an additional factor to consider when evaluating cardiovascular risk in the general population and kidney patients. Direct interaction of this tissue and coronary vessels with consequent mediation of pro-atherogenic substances have a local process ending in endothelial damage. Although the population of renal patients has been poorly evaluated, future studies should determine precisely whether an increase in epicardial fat is truly associated with cardiovascular morbidity and mortality in this risk group.

The Effect of Body Mass Index on Outcome after Endovascular Treatment in Acute Ischemic Stroke Patients: A Post Hoc Analysis of the MR CLEAN Trial

BACKGROUND

Though obesity is a well-known risk factor for vascular disease, the impact of obesity on stroke outcome has been disputed. Several studies have shown that obesity is associated with better functional outcome after stroke. Whether obesity influences the benefit of endovascular treatment (EVT) in stroke patients is unknown. We evaluated the association between body mass index (BMI) and outcome in acute ischemic stroke patients with large vessel -occlusion (LVO), and assessed whether BMI affects the -benefit of EVT.

METHODS

This is a post hoc analysis of the Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands trial (-ISRCTN10888758). BMI was used as a continuous and categorical variable, distinguishing underweight and normal weight (BMI <25), overweight (BMI 25-30), and obesity (BMI ≥30). We used multivariable ordinal logistic regression analysis to estimate the association of BMI with functional outcome (shift analysis), assessed with modified Rankin Scale (mRs) at 90 days. The impact of BMI on EVT effect was tested by the use of a multiplicative interaction term.

RESULTS

Of 366 patients, 160 (44%) were underweight or normal weight, 145 (40%) overweight, and 61 (17%) were obese. In multivariable analysis with BMI as a continuous variable, we found a shift toward better functional outcome with higher BMI (mRS adjusted common OR 1.04; 95% CI 1.0-1.09), and mortality was inversely related to BMI (aOR 0.92; 95% CI 0.85-0.99). Safety analysis showed that higher BMI was associated with lower risk of stroke progression (aOR 0.92, 95% CI 0.87-0.99). Additional analysis showed no interaction between BMI and EVT effect on functional outcome, mortality, and other safety outcomes.

CONCLUSION

Our study confirms the effect of obesity on outcome in acute ischemic stroke patients with LVO, meaning better functional outcome, lower mortality, and lower risk of stroke progression for patients with higher BMI. As we found no interaction between BMI and EVT effect, all BMI classes may expect the same benefit from EVT.

Social Isolation, Loneliness, and Health Behaviors at Older Ages: Longitudinal Cohort Study

Background

The prospective associations between social isolation, loneliness, and health behaviors are uncertain, despite the potential importance of these relationships over time for outcomes including mortality.

Purpose

To examine the associations between baseline social isolation, baseline loneliness, and engagement in health behaviors over 10 years among older adults.

Methods

Data were from 3,392 men and women aged ≥52 years in the English Longitudinal Study of Ageing from 2004/2005 to 2014/2015. Modified Poisson regression was specified to estimate relative risks (RRs) and 95% confidence intervals for the associations between baseline social isolation, baseline loneliness, and consistent weekly moderate-to-vigorous physical activity, consistent five daily fruit and vegetable servings, daily alcohol drinking at any time point, smoking at any time point, and a consistently overweight/obese body mass index over the follow-up (all yes vs. no). Models were population weighted and adjusted for sociodemographic factors, health indicators, and depressive symptoms, with mutual adjustment for social isolation and loneliness.

Results

Socially isolated participants were less likely than non-isolated participants to consistently report weekly moderate-to-vigorous physical activity (RR = 0.86; 0.77-0.97) or five daily fruit and vegetable servings (RR = 0.81; 0.63-1.04). They were less likely to be consistently overweight or obese (RR = 0.86; 0.77-0.97) and more likely to smoke at any time point (RR = 1.46; 1.17-1.82). Loneliness was not associated with health behaviors or body mass index in adjusted models. Among smokers, loneliness was negatively associated with successful smoking cessation over the follow-up (RR = 0.31; 0.11-0.90).

Conclusions

Social isolation was associated with a range of health-related behaviors, and loneliness was associated with smoking cessation over a 10 year follow-up in older English adults.

Changes in waist circumference and risk of all-cause and CVD mortality: results from the European Prospective Investigation into Cancer in Norfolk (EPIC-Norfolk) cohort study

BACKGROUND

Measures of abdominal adiposity are strongly associated with all-cause mortality and cardiovascular disease (CVD). However, data are limited and conflicting regarding the consequences of changes in body fat distribution. The main aims of this paper are to investigate the association between changes in waist circumference (WC) and all-cause and CVD mortality and to examine these changes in relation to concurrent changes in weight.

METHODS

The European Prospective Investigation into Cancer and Nutrition (EPIC-Norfolk) study recruited 25,639 participants between 1993 and 1997, aged 39-79, a number of whom also attended a second examination (1998-2000), and were followed up to 2016 for mortality. Participants were eligible for inclusion if they had WC, weight and height measurements at both time-points; those with a self-reported history of CVD or cancer, body mass index < 18.5 kg/m2 or missing data on covariates were excluded, leaving 12,337 participants for analyses. The median (IQR) follow-up time was 16.4 (15.7, 17.2) years. Hazard Ratios (HRs) for all-cause (2866 deaths) and CVD mortality (822 deaths), by categories of WC change, were determined using Cox proportional hazards analyses.

RESULTS

After multivariable adjustment, the HRs (95% CIs) for all-cause mortality for men and women with a WC gain (WCG) >  5 cm were 1.51 (1.29-1.75) and 1.25 (1.06-1.46) respectively. For CVD mortality in men and women with a WCG >  5 cm, the HRs were 1.84 (1.39-2.43) and 1.15 (0.85-1.55) respectively. In analyses of concurrent changes in WC and weight, the greatest risk (HRs) (95% CIs) in men occurred with weight loss and WCG: 1.80 (1.13-2.86) for all-cause and 2.22 (1.03-4.82) for CVD mortality. In women, the greatest risk for both all-cause (HR 1.50 (1.16-1.95)) and CVD mortality (HR 1.81 (1.15-2.85)) was observed in those with weight loss and maintenance of WC (WCM).

CONCLUSIONS

Objectively measured WCG > 5 cm, was associated with subsequent higher total mortality risk and higher CVD mortality risk in men. Interventions focusing on preventing increase in central adiposity rather than lowering weight per se in later life may potentially have greater health benefits.

Treatment of postpill amenorrhea with abdominal obesity by traditional Korean medicine treatment focused on pharmacopuncture and moxibustion: A case report

RATIONALE

Hormone imbalance and menstrual irregularities are normal for postpill women. Pharmacopuncture and moxibustion can stimulate acupoints with herbal extract and heat, respectively, to regulate the function of qi and blood, expel pathogens, and support health.

PATIENT CONCERNS

A 39-year-old female patient presented with amenorrhea, >6 months after she had stopped taking the oral contraceptive pill, which she had taken for more than 10 years, and possible associated infertility. Additionally, she reported sudden weight gain of approximately 12 kg in 1 year.

DIAGNOSES

In this study, we examined the amenorrhea lasted more than 6 months for postpill patient.

INTERVENTIONS

She refused a strong acupuncture stimulus; she underwent lower abdomen pharmacopuncture with wild ginseng complex (WGC) and moxibustion at CV4, 5 times during 1 month. As a secondary treatment, 1 g Geoseub-hwan pills were prescribed for overeating and during social events. After 5 weekly primary treatments, Geoseub-hwan was prescribed intermittently.

OUTCOME

After 3 primary treatments, she began menstruation without menstrual cramps or discomfort. After 5 treatments, she exhibited improvement of body weight and body composition. At 1- and 3-month follow-up examinations, she confirmed regular menstruation without discomfort.

LESSONS

Pharmacopuncture with WGC and moxibustion may be effective for the treatment of postpill amenorrhea with abdominal obesity and can be used for patients with fear of a strong acupuncture stimulus.

Waist Circumference and All-Cause Mortality Independent of Body Mass Index in Korean Population from the National Health Insurance Health Checkup 2009⁻2015

BACKGROUND

Waist circumference (WC) is an index of abdominal obesity and associated with co-morbidities and mortality. Higher WC is positively associated with increased mortality; therefore, we examined the relationship between WC and mortality in Korean populations with the interaction of body mass index (BMI) and WC for mortality.

METHODS

A total of 23,263,878 subjects (men = 11,813,850 and women = 11,450,028) who were older than 20 years and underwent the National Health Insurance Service health checkup were included. WC was divided into six categories by 5 cm increments and level 3 (85⁻90 cm in men and 80⁻85 cm in women) was referenced. Multivariable Cox proportional hazard models were used to obtain the hazard ratios (HRs) and 95% confidence intervals for all-cause mortality according to the six levels of WC.

RESULTS

WC in 5 cm increments showed a positively increased all-cause mortality after adjusting for all covariates including BMI. Men showed higher HRs for mortality than women as WC increased, and the HRs were higher in the lower WC levels, but lower in the higher WC levels among the subjects aged 65⁻85 years than subjects aged 40⁻65 years. Even in subjects with normal weight and overweight, increased WC (levels 4, 5, and 6) showed increased HRs for mortality (HRs = 1.156, 1.412, and 1.614 in normal BMI and 1.145, 1.401, and 1.909 in overweight, respectively).

CONCLUSION

There was a linear association between WC and all-cause mortality across all BMI categories even in the subjects with normal or overweight BMI. Physicians should check WC routinely even in the subjects with normal weight or overweight.

A Risk Score to Predict Short-term Outcomes Following Emergency Department Discharge

Introduction

The emergency department (ED) is an inherently high-risk setting. Risk scores can help practitioners understand the risk of ED patients for developing poor outcomes after discharge. Our objective was to develop two risk scores that predict either general inpatient admission or death/intensive care unit (ICU) admission within seven days of ED discharge.

Methods

We conducted a retrospective cohort study of patients age > 65 years using clinical data from a regional, integrated health system for years 2009–2010 to create risk scores to predict two outcomes, a general inpatient admission or death/ICU admission. We used logistic regression to predict the two outcomes based on age, body mass index, vital signs, Charlson comorbidity index (CCI), ED length of stay (LOS), and prior inpatient admission.

Results

Of 104,025 ED visit discharges, 4,638 (4.5%) experienced a general inpatient admission and 531 (0.5%) death or ICU admission within seven days of discharge. Risk factors with the greatest point value for either outcome were high CCI score and a prolonged ED LOS. The C-statistic was 0.68 and 0.76 for the two models.

Conclusion

Risk scores were successfully created for both outcomes from an integrated health system, inpatient admission or death/ICU admission. Patients who accrued the highest number of points and greatest risk present to the ED with a high number of comorbidities and require prolonged ED evaluations.

Effects of pharmacopuncture with wild ginseng complex in 2 elderly patients with obesity: Case report

RATIONALE

Obesity has become a worldwide health challenge. In elderly patients, obesity induces a decrease in skeletal muscle strength and mass, which is linked to age-related sarcopenia. These are important predictors of hospitalization and death. Herein, we report on 2 elderly male patients who were treated by pharmacopuncture with wild ginseng complex (WGC).

PATIENT CONCERNS

Case 1 was that of a 62-year-old man who was mainly concerned about his appearance as his abdominal fat was steadily increasing, without any changes to his body weight. He also had an aversion to any type of modern Western medicine. In addition, the patient was averse to changing his eating habits or exercise style. Case 2 was that of a 66-year-old man who was concerned about his appearance due to an increase in abdominal fat accumulation. Furthermore, he had gained 1.5 inches in waist circumference over the past 2 years. The patient wanted to lose fat in the abdomen, but not in other parts of the body.

DIAGNOSES

In this study, we examined 2 elderly male patients (aged 60 years and above) with abdominal obesity and excessive visceral fat mass. Abdominal obesity is defined as a waist circumference of ≥ 90 cm for men and ≥ 80 cm for women.

INTERVENTIONS

The patients received pharmacopuncture with WGC 5 times over 3 weeks on their abdomen without controlling diet and exercise.

OUTCOME

After 3 weeks of pharmacopuncture with WGC and at a follow-up appointment 3 weeks later, we detected an increase in muscle mass, protein content, and basal metabolic rate in both cases.

LESSONS

Although we observed only 2 cases, our results indicated that pharmacopuncture with WGC can be used as a new alternative treatment to prevent and improve abdominal obesity in elderly individuals, as well as age-related sarcopenic obesity.

Elderly Obesity: Is It Harmful or Beneficial?

The prevalence of obesity among elderly populations is a matter of increasing concern. Elderly obesity is a pathophysiologically complex issue, and predictions regarding obesity-related comorbidity and weight management are challenging. As individuals age, changes in the body composition, such as increase in fat mass and decrease in muscle mass, are observed even in the absence of changes in body weight and body mass index. Hence, body mass index and other indices of obesity should be cautiously interpreted in the elderly, and weight loss should be recommended for obese elderly individuals with functional limitations or metabolic complications that may improve with weight loss. By the year 2026, more than 20% of the Korean population will be aged 65 years or older, and this along with the obesity epidemic is expected to pose an increasingly serious financial problem for the Korean healthcare system. This review summarizes the epidemiology of obesity in Korea, the clinical implications of elderly obesity, and considerations regarding weight management. Understanding the complexity of elderly obesity could facilitate the design of preventative and therapeutic strategies that would have a positive impact on the overall health of the Korean population.

Racial differences in intracerebral haemorrhage outcomes in patients with obesity

OBJECTIVE

This study was conducted to determine the role of obesity and race in intracerebral haemorrhage (ICH) outcomes.

METHODS

The Get with the guideline-Stroke database was queried for all admitted patients with spontaneous ICH. Secondary causes of ICH were excluded. Body mass index (BMI) was classified using the Center for Disease Control guidelines. Race was classified as White or non-White. Demographics, clinical, imaging data were retrieved. Outcome measures were hematoma expansion at 24 h and discharge disposition.

RESULTS

A total of 428 patients were included in our analysis. Female gender, past history of congestive heart failure, diabetes mellitus, HbA1c, blood pressure, ICH volume, ICH location, intraventricular haemorrhage and hospital length of stay deferred across BMI categories. On multivariate analysis, along with obese categories, age, ICH location and ICH volume were independent predictors of poor outcomes (hematoma expansion and poor discharge disposition). After adjusting for these variables, obesity remained a predictor of poor disposition outcome compared with normal and overweight subjects; Normal vs. Obese OR 0.26 CI 0.115-0.593 p = 0.0014; Obese vs. Overweight OR 3.79 CI 1.68-8.52 p = 0.0013. Nonetheless, obesity did not influence hematoma expansion. Overall, BMI-race classification did not influence outcomes. However, among non-Whites, the obese category had higher odds of a poor disposition outcome than normal (OR 6.84 CI 2.12-22.22 p = 0.0013) or overweight (OR 8.45 CI 2.6-27.49 p = 0.0004) categories.

CONCLUSION

An obesity paradox in ICH was not observed in our cohort. In the non-White population, patients with obesity were likely to be associated with poor disposition outcome. Similar findings were not observed in White population.

BMI, Waist Circumference and All-Cause Mortality in a Middle-Aged and Elderly Chinese Population

OBJECTIVE

To investigate the association of obesity and all-cause mortality in a sample of middle-aged and elderly population.

DESIGN AND SETTING

Information of participants was collected in the Dongfeng-Tongji study, a perspective cohort study of Chinese occupational population. The main outcome was risk of death after 8.5 years of follow-up.

PARTICIPANTS AND MEASUREMENTS

We examined the association of BMI, waist circumference (WC, and waist-height ratio (WHtR) with all-cause mortality in the Dongfeng-Tongji cohort study (n=26,143). Cox proportional hazard models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CI) for all-cause mortality. Area under the receiver operating characteristic curves and net reclassification improvement (NRI) were used to calculate the power of prediction models.

RESULTS

During a mean of 8.5 years of follow-up, 2,246 deaths were identified. There is a U-shaped association of BMI with all-cause mortality in the middle-aged and elderly Chinese population. Compared with individuals with normal BMI, underweight was positively (HR=2.16, 95% CI: 1.73, 2.69) while overweight (HR=0.75, 95% CI: 0.67, 0.84) and obesity (HR=0.67, 95% CI: 0.56, 0.79) were negatively associated with all-cause mortality after adjustment for potential confounders including WC. In contrast, WC (Q5 vs. Q1, HR=1.55, 95% CI: 1.29, 1.86) and WHtR (Q5 vs.Q1, HR=1.69, 95% CI: 1.40, 2.04) were positively associated with mortality after further adjustment for BMI (P trend < 0.001). Addition of both BMI and WC into the all-cause mortality predictive model significantly increased AUC (P =0.0002) and NRI (NRI = 2.57%, P = 0.0007).

CONCLUSIONS

BMI and WC/WHtR were independently associated with all-cause mortality after mutual adjustment. Combination of BMI and WC/WHtR improved the predictive ability of all-cause mortality risk in the middle-aged and elderly population.

Influence of Socioeconomic and Anthropometric Factors on Respiratory Function in Female University Students

The purpose of this study was to evaluate lung function in healthy young female university students and to seek the relation of lung function to socioeconomic and anthropometric indices. The methodology consisted of spirometry tests, anthropometric measures and a questionnaire conducted in November of 2015 among 152 female university students. At first, lung function was analyzed for any relationship with socioeconomic factors and smoking. The results of a multi-factor analysis of variance demonstrate significant differences in the FEV1/FVC ratio depending on the general socioeconomic status. Then, anthropometric and spirometric parameters were tested for correlations. A comparison of underweight, normal weigh, overweight, and obese subjects revealed statistically significant differences for FVC% and FEV1/FVC, with the highest values noted in the subjects of normal weight. Individuals with abdominal obesity had lower FVC% and FEV1% and a higher FEV1/FVC ratio. The findings of our study confirm that both general obesity and abdominal obesity are related to a reduced lung function.

Age-dependent relationships between body mass index and mortality: Singapore longitudinal ageing study

OBJECTIVES

The relationship between body mass index (BMI) with mortality risk, in particular the BMI category associated with the lowest all-cause and CVD-and-stroke mortality and the BMI threshold for defining overweight or obesity in older persons is controversial. This study investigated the age-dependent associations of BMI categories with all-cause and cardiovascular disease (CVD) and stroke mortality.

METHOD

Prospective cohort study (Singapore Longitudinal Ageing Studies) of older adults aged 55 and above, followed up from 2003 to 2011. Participants were 2605 Chinese with baseline BMI and other variables. Outcome Measurement: Mortality hazard ratios (HR) for all-cause and CVD and stroke mortality.

RESULTS

Overall, BMI showed a U-shaped relationship with all-cause and CVD and stroke mortality, being lowest at Normal Weight-II category (BMI 23.0-24.9 kg/m2). Most evidently among the middle-aged (55-64 years), all-cause mortality risks relative to Normal Weight-II were elevated for underweight (<BMI 18.5; HR = 4.92, p<0.0138), Normal Weight-I (BMI 18.5-22.9; HR = 3.41, p = 0.0149), and Overweight-Obese (BMI>30.0; HR = 4.05,p = 0.0423). Among the old (≥65 years), however, Overweight and Obese categories were not significantly associated with increased all-cause mortality (HR from 0.98 to 1.29), but Overweight-Obese was associated with increased CVD and stroke mortality (HR = 10.0, p = 0.0086).

CONCLUSION

BMI showed a U-shaped relationship with mortality. Among older persons aged 65 and above, the overweight-or-obese category of BMI was not associated with excess all-cause mortality.

Comparison of the ability to identify arterial stiffness between two new anthropometric indices and classical obesity indices in Chinese adults

BACKGROUND AND AIMS

The association between anthropometric indices of body composition and arterial stiffness is inconclusive. The objective of this study was to examine the predictive ability of two new obesity indices: a body shape index (ABSI), and a body roundness index (BRI), for the identification of arterial stiffness among Chinese adults, as well as to compare the relative strength of association between the anthropometric indices and arterial stiffness.

METHODS

A total of 10,197 subjects were recruited in this cross-sectional study. We tested the association between anthropometric indices (body mass index [BMI], waist circumference [WC], waist-height-ratio [WHtR], ABSI and BRI) and brachial-ankle pulse wave velocity (PWV). Receiver operating characteristic curve and area under curve (AUC) were employed to evaluate the predictive value of the anthropometric indices for identification of arterial stiffness.

RESULTS

After adjusting for confounding variables, BRI (linear regression: 0.112; AUC: 0.726; OR: 1.228 for female and linear regression: 0.047; AUC: 0.631; OR: 1.173 for male) exhibited a more powerful predictive ability of arterial stiffness than ABSI (linear regression: 0.110; AUC: 0.674; OR: 1.315 for female and linear regression: 0.058; AUC: 0.610; OR: 1.150 for male) and WC (linear regression: 0.078; AUC: 0.699; logistic regression: negative for female and linear regression: negative; AUC: 0.593; logistic regression: negative for male) while having a similar predictive value to that of WHtR (linear regression: 0.113; AUC: 0.726; OR: 1.228 for female and linear regression: 0.047; AUC: 0.631; OR: 1.185 for male) among both sexes. BMI (linear and logistic regression: negative; AUC: 0.660 for female and 0.568 for male) had the lowest predictive power in both sex categories. The optimal cut-off of WHtR for detecting arterial stiffness was 0.49 in females and 0.53 in males, that of BRI was 3.19 in females and 3.89 in males.

CONCLUSIONS

WHtR, ABSI and BRI were significantly associated with arterial stiffness. BRI and WHtR, rather than ABSI, showed superior predictive abilities for arterial stiffness in both sexes.

Reexamining the Association of Body Mass Index With Overall Survival Outcomes After Liver Transplantation

BACKGROUND

Several studies have shown that obese patients undergoing liver transplantation (LT) have an increased risk of mortality regardless of Model of End Stage Liver Disease (MELD) scores. The purpose of this study is to identify the range of body mass index (BMI) at LT associated with the lowest risks of posttransplant mortality by MELD category.

METHODS

A retrospective cohort of patients aged 18 years or older from the Organ Procurement and Transplantation Network database undergoing LT between February 27, 2002, and December 31, 2013, was identified and followed up through March 14, 2014. Patients' MELD score at the time of transplantation was categorized into 10 or lower (MELD1), 11 to 18 (MELD2), 19 to 24 (MELD3), and 25 or higher (MELD4). Multivariable adjusted Cox proportional hazard analyses were conducted.

RESULTS

Among 48 226 patients in the analytic cohort (14.8% were in MELD1, 33.7% were in MELD2, 19.6% were in MELD3, and 32.0% were in MELD4), 25% died with mean follow-up of 1371 days. For MELD1, patient BMI ranging from 30 to 33 was associated with a better survival outcome than BMI less than 30 or 33 or greater; for MELD2, BMI ranging from 28 to 37 had a better survival outcome than BMI less than 28 or 37 or greater; for MELD3, the survival outcome improved with an increasing BMI; for MELD4, the survival outcome was not associated with patient BMI.

CONCLUSIONS

This study provides evidence that obesity in LT patients is not necessarily associated with higher posttransplantation mortality and highlights the importance of the interaction between BMI and MELD category to determine their survival likelihood.

Neighborhood Influences and BMI in Urban Older Adults

OBJECTIVE

Increases in body weight and declining physical activity that may accompany aging are linked to a range of problems affecting daily life (i.e., decreased mobility and overall quality of life). This study investigates the actual and perceived neighborhood environment on overweight and obese urban older adults.

METHOD

We selected 217 individuals aged 65+ who answered questions about their neighborhood on the 2009 Speak to Your Health survey. Using multinomial regression models and geospatial models, we examined relationships between neighborhood environment and BMI.

RESULTS

We found that obese older adults were 63% less likely to have a park within their neighborhood ( p = .04). Our results also show that older adults who perceive their neighborhood crime as very high are 12 times more likely to be overweight ( p = .04).

DISCUSSION

Findings suggest that parks may affect BMI in older adults; however, neighborhood perceptions play a greater role.

Importance and added value of functional impairment to predict mortality: a cohort study in Swedish medical inpatients

BACKGROUND

Accurate estimation of prognosis in multimorbid hospital patients could improve quality of care. This study aims to determine the relative importance and added value of a performance-based activities of daily living (ADL) measure with regard to mortality prediction.

METHODS

200 inpatients, aged over 60 years, were recruited at the Department of General Internal Medicine at a tertiary university hospital. Two nested survival models were built, one with established risk factors (age, sex, Charlson comorbidity index, haemoglobin, albumin, body mass index and glomerular filtration rate), and one using the same covariates with the Gottfries-Bråne-Steen (GBS)-ADL measure added. The relative importance of GBS-ADL was evaluated in the full model. The added value of GBS-ADL was determined by comparing the nested models using four approaches: difference in overall χ², discrimination, continuous net reclassification index (NRI >0) and integrated discrimination improvement (IDI).

RESULTS

In the full model, GBS-ADL was the single most important predictor of mortality (χ²-df=30, p<0.001). The likelihood ratio χ² test showed significant added value of ADL (p<0.001). The C-statistic was 0.78 with ADL and 0.72 without (difference 0.058, 95% CI 0.022 to 0.094). The NRI >0 was 0.42 (95% CI 0.20 to 0.58) and IDI 0.15 (95% CI 0.07 to 0.22).

CONCLUSIONS

Compared with a set of available clinical risk factors, impairment in ADL was a stronger predictor of all-cause mortality, showing substantial added value. Implementing quantitative ADL measurements could enable more appropriate and individual care for the elderly.

The development and validation of an index to predict 10-year mortality risk in a longitudinal cohort of older English adults

Background

we aimed to develop and validate a population-representative 10-year mortality risk index for older adults in England.

Methods

data were from 10,798 men and women aged 50 years and older in the population-based English Longitudinal Study of Ageing in 2002/03, randomly split into development (n = 5,377) and validation cohorts (n = 5,421). Participants were asked about their sociodemographics, health behaviours, comorbidities, and functional status in the home-based interviews. Variables that were independently associated with all-cause mortality through March 2013 in the development cohort were weighted relative to one another to develop risk point scores for the index that was calibrated in the validation cohort.

Results

the validated 10-year mortality risk index assigns points for: increasing age (50–59 years: 0 points; 60–64: 1 point; 65–69: 3 points; 70–74: 5 points; 75–79: 7 points; 80–84: 9 points; ≥85: 12 points), male (2 points), no vigorous physical activity (1 point), smoking (2 points), having a diagnosis of cancer (1 point), chronic lung disease (2 points) or heart failure (4 points), and having difficulty preparing a hot meal (2 points), pushing or pulling large objects (1 point) or walking 100 yards (1 point). In the full study cohort, 10-year mortality rates increased from 1.7% (11/664) in those with 0 points to 95% (189/199) among those with ≥16 points.

Conclusion

this highly predictive 10-item mortality risk index is valid in the English population aged 50 years and older. It uses simple information that is often available in research studies and patient reports, and does not require biomarker data to predict mortality.

Comparison of anthropometric measurements associated with the risk of endoscopic erosive esophagitis: A cross-sectional study

BACKGROUND

In this cross-sectional study, we assessed five anthropometric measurements to determine the most reliable indicator of the erosive esophagitis (EE) risk: body mass index (BMI), waist circumference (WC), waist to height ratio (WHtR), a body shape index (ABSI), and body roundness index (BRI).

METHODS

This study included 182,407 participants who underwent an esophagogastroduodenoscopy as part of a routine health check-up. We used the area under the receiver-operating characteristic curve (AUC) to assess the discriminatory power of each anthropometric measure as an indicator of EE risk.

RESULTS

The prevalence of EE increased per quartile for all five anthropometric measurements in patients of both sexes (1st quartile vs. 4th quartile, all P<0.05). ABSI had the lowest AUCs for EE in both sexes (AUC: 0.524, 95% CI: 0.519-0.529 for male patients; AUC: 0.524, 95% CI: 0.513-0.535 for female patients). In contrast, BRI was the best predictor of EE in male patients (OR: 2.095, 95% CI: 1.982-2.215, P<0.0001), and WC was the best predictor of EE in female patients (OR: 2.028, 95% CI: 1.785-2.307, P<0.0001). WC showed the highest AUC values for EE in both male patients (AUC: 0.571, 95% CI: 0.566-0.576) and female patients (AUC: 0.596, 95% CI: 0.585-0.608).

CONCLUSIONS

BRI and WC were the most relevant indicators of EE risk in male and female patients, respectively. ABSI was the least reliable indicator of EE risk in patients of both sexes.

Obesity paradox in stroke - Myth or reality? A systematic review

Background and purpose

Both stroke and obesity show an increasing incidence worldwide. While obesity is an established risk factor for stroke, its influence on outcome in ischemic stroke is less clear. Many studies suggest a better prognosis in obese patients after stroke (“obesity paradox”). This review aims at assessing the clinical outcomes of obese patients after stroke by performing a systematic literature search.

Methods

The reviewers searched MEDLINE from inception to December 2015. Studies were eligible if they included outcome comparisons in stroke patients with allocation to body weight.

Results

Twenty-five studies (299’750 patients) were included and none was randomised. Ten of 12 studies (162’921 patients) reported significantly less mortality rates in stroke patients with higher BMI values. Seven of 9 studies (92’718 patients) ascertained a favorable effect of excess body weight on non-fatal outcomes (good clinical outcome, recurrence of vascular events). Six studies (85’042 patients) indicated contradictory results after intravenous thrombolysis (IVT), however. Several methodological limitations were observed in major part of studies (observational study design, inaccuracy of BMI in reflecting obesity, lacking body weight measurement, selection bias, survival bias).

Conclusion

Most observational data indicate a survival benefit of obese patients after stroke, but a number of methodological concerns exist. No obesity paradox was observed in patients after IVT. There is a need for well-designed randomized controlled trials assessing the effects of weight reduction on stroke risk in obese patients.

The cut-off values of anthropometric variables for predicting mild cognitive impairment in Malaysian older adults: a large population based cross-sectional study

Purpose

Older adults are at risk of mild cognitive impairment (MCI), and simple anthropometric measurements can be used to screen for this condition. Thus, the aim of this study was to explore the cut-off values of body mass index (BMI) and waist circumference (WC) for predicting the risk of MCI in older Malaysian adults.

Methods

A total of 2,240 Malaysian older adults aged ≥60 years were recruited using multistage random sampling in a population based cross-sectional study. Receiver operating characteristic (ROC) curve was used to determine the cut-off values of BMI and WC with optimum sensitivity and specificity for the detection of MCI. Age, gender, years of education, smoking habit, alcohol consumption, depression, and medical conditions were used as confounding factors in this analysis.

Results

A BMI cut-off value of 26 kg/m² (area under the receiver operating characteristic curve [AUC] 0.725; sensitivity 90.5%; specificity 38.8%) was appropriate in identifying the risk of getting MCI in both men and women. The optimum WC cut-offs for likelihood of MCI were 90 cm (AUC 0.745; sensitivity 78.0%; specificity 59.8%) for men and 82 cm (AUC 0.714; sensitivity 84.3%; specificity 49.7%) for women. The optimum calf circumference (CC) cut-off values for identifying MCI were 29 cm (AUC 0.731; sensitivity 72.6%; specificity 61.1%) for men and 26 cm (AUC 0.598; sensitivity 79.1%; specificity 45.3%) for women.

Conclusion

The cut-off values could be advocated and used as part of the screening of MCI among older Malaysian adults. There is a need to further determine the predictive values of these cut-off points on outcomes through longitudinal study design.

Body mass index and waist circumference as predictors of all-cause mortality in an Aboriginal Australian community

OBJECTIVE

Although elevated body mass index (BMI) and waist circumference (WC) have been identified as risk factors for mortality, data from the Australian Aboriginal communities are scarce. This study examined the associations of BMI and WC with all-cause mortality in an Australian Aboriginal community.

METHODS

A total of 934 Aboriginal adults, aged 18-76 years, who participated in a community-wide screening programme in Australia's Northern Territory from 1992 to 1998, were followed-up prospectively for up to 18 years for death outcomes. The hazard ratios for mortality were estimated by baseline BMI and WC. Age, sex, smoking and alcohol consumption status were adjusted for in multivariable analysis.

RESULTS

In 14,750 person-years of follow-up, 216 deaths were recorded. For each standard deviation increase in BMI, the risk of all-cause death decreased by 9% (95% CI: 0.80-1.05); whereas for each SD increase in WC, the risk of all-cause mortality increased by 17% (95% CI: 1.03-1.33). The risk of mortality was lower in the 3rd BMI tertile compared to the 1st tertile for mortality after adjusting for WC, age, sex, smoking and alcohol consumption. Risk of death was higher in WC tertile 3 compared to tertile 1 after adjusting for BMI, age, sex, smoking and alcohol consumption.

CONCLUSIONS

The risk of all-cause mortality among participants increased with higher WC, while participants with relatively higher BMI had a lower mortality risk. WC had stronger association with mortality than did BMI. The results indicate the importance of assessing WC measures in studies conducted in Aboriginal Australia.

Urinary Incontinence in Older Women: The Role of Body Composition and Muscle Strength: From the Health, Aging, and Body Composition Study

OBJECTIVES

To evaluate prospective relationships between body composition and muscle strength with predominantly stress urinary incontinence (SUI) and urgency urinary incontinence (UUI) in older women.

DESIGN

Prospective community-dwelling observational cohort study (Health, Aging, and Body Composition study).

PARTICIPANTS

Women initially aged 70 to 79 recruited from Pittsburgh, Pennsylvania, and Memphis, Tennessee (N = 1,475).

MEASUREMENTS

Urinary incontinence was assessed using structured questionnaires. Body mass index (BMI), grip strength, quadriceps torque, and walking speed were assessed using physical examination and performance testing. Appendicular lean body mass (ALM) and whole-body fat mass were measured using dual-energy X-ray absorptiometry.

RESULTS

At baseline, 212 (14%) women reported at least monthly predominantly SUI and 233 (16%) at least monthly predominantly UUI. At 3 years, of 1,137 women, 164 (14%) had new or persistent SUI, and 320 (28%) had new or persistent UUI. Women had greater odds of new or persistent SUI if they demonstrated a 5% or greater decrease in grip strength, (adjusted odds ratio (AOR) = 1.60, P = .047) and lower odds of new or persistent SUI if they demonstrated a 5% or greater decrease in BMI (AOR = 0.46, P = .01), a 5% or greater increase in ALM corrected for BMI (AOR = 0.17, P = .004), or a 5% or greater decrease in fat mass (AOR = 0.53, P = .01). Only a 5% or greater increase in walking speed was associated with new or persistent UUI over 3 years (AOR = 1.54, P = .04).

CONCLUSION

In women aged 70 and older, changes in body composition and grip strength were associated with changes in SUI frequency over time. In contrast, changes in these factors did not influence UUI. Findings suggest that optimization of body composition and muscle strength is more likely to modify risk of SUI than of UUI in older women.

The association of lean and fat mass with all-cause mortality in older adults: The Cardiovascular Health Study

BACKGROUND AND AIMS

Understanding contributions of lean and fat tissue to cardiovascular and non-cardiovascular mortality may help clarify areas of prevention in older adults. We aimed to define distributions of lean and fat tissue in older adults and their contributions to cause-specific mortality.

METHODS AND RESULTS

A total of 1335 participants of the Cardiovascular Health Study (CHS) who underwent dual-energy x-ray absorptiometry (DEXA) scans were included. We used principal components analysis (PCA) to define two independent sources of variation in DEXA-derived body composition, corresponding to principal components composed of lean ("lean PC") and fat ("fat PC") tissue. We used Cox proportional hazards regression using these PCs to investigate the relationship between body composition with cardiovascular and non-cardiovascular mortality. Mean age was 76.2 ± 4.8 years (56% women) with mean body mass index 27.1 ± 4.4 kg/m². A greater lean PC was associated with lower all-cause (HR = 0.91, 95% CI 0.84-0.98, P = 0.01) and cardiovascular mortality (HR = 0.84, 95% CI 0.74-0.95, P = 0.005). The lowest quartile of the fat PC (least adiposity) was associated with a greater hazard of all-cause mortality (HR = 1.24, 95% CI 1.04-1.48, P = 0.02) relative to fat PCs between the 25th-75th percentile, but the highest quartile did not have a significantly greater hazard (P = 0.70).

CONCLUSION

Greater lean tissue mass is associated with improved cardiovascular and overall mortality in the elderly. The lowest levels of fat tissue mass are linked with adverse prognosis, but the highest levels show no significant mortality protection. Prevention efforts in the elderly frail may be best targeted toward improvements in lean muscle mass.

Recent trends in life expectancy for people with type 1 diabetes in Sweden

AIMS/HYPOTHESIS

People with type 1 diabetes have reduced life expectancy (LE) compared with the general population. Our aim is to quantify mortality changes from 2002 to 2011 in people with type 1 diabetes in Sweden.

METHODS

This study uses health records from the Swedish National Diabetes Register (NDR) linked with death records. Abridged period life tables for those with type 1 diabetes aged 20 years and older were derived for 2002-06 and 2007-11 using Chiang's method. Cox proportional hazard models were used to assess trends in overall and cause-specific mortality.

RESULTS

There were 27,841 persons aged 20 years and older identified in the NDR as living with type 1 diabetes between 2002 and 2011, contributing 194,685 person-years of follow-up and 2,018 deaths. For men with type 1 diabetes, the remaining LE at age 20 increased significantly from 47.7 (95% CI 46.6, 48.9) in 2002-06 to 49.7 years (95% CI 48.9, 50.6) in 2007-11. For women with type 1 diabetes there was no significant change, with an LE at age 20 of 51.7 years (95% CI 50.3, 53.2) in 2002-06 and 51.9 years (95% CI 50.9, 52.9) in 2007-11. Cardiovascular mortality significantly reduced, with a per year HR of 0.947 (95% CI 0.917, 0.978) for men and 0.952 (95% CI 0.916, 0.989) for women.

CONCLUSIONS/INTERPRETATION

From 2002-06 to 2007-11 the LE at age 20 of Swedes with type 1 diabetes increased by approximately 2 years for men but minimally for women. These recent gains have been driven by reduced cardiovascular mortality.

Body shape, adiposity index, and mortality in postmenopausal women: Findings from the Women's Health Initiative

OBJECTIVE

Studies evaluating the relationship between body mass index (BMI) and mortality demonstrate a U-shaped association. To expand, this study evaluated the relationship between adiposity indices, a body shape index (ABSI) and body adiposity index (BAI), and mortality in 77,505 postmenopausal women.

METHODS

A prospective cohort analysis was conducted in the Women's Health Initiative to ascertain the independent relationships between adiposity indices and mortality in order to inform on the clinical usefulness of alternate measures of mortality risk. ABSI (waist circumference (cm)/[BMI(2/3) × height (cm)(1/2) ]), BAI (hip circumference (cm)/[height (m)(1.5) ] - 18), weight, BMI, and waist circumference (WC) were evaluated in relation to mortality risk using adjusted Cox proportional hazards regression models.

RESULTS

ABSI showed a linear association with mortality (HR, 1.37; 95% CI, 1.28-1.47 for quintile 5 vs. 1) while BMI and BAI had U-shaped relationships with HR of 1.30; 95% CI, 1.20-1.40 for obesity II/III BMI and 1.06, 95% CI, 0.99-1.13 for BAI. Higher WC (HR, 1.21; 95% CI, 1.13-1.29 for quintile 5 vs. 1) showed relationships similar to BMI.

CONCLUSIONS

ABSI appears to be a clinically useful measure for estimating mortality risk, perhaps more so than BAI and BMI in postmenopausal women.