Is there an obesity paradox in the elderly? Body mass index, functional status and cognitive function in a cohort of nonagenarians: results from the MUGELLO study

2020 ◽  
Vol 30 (3) ◽  
pp. 537
Author(s):  
M. Dinu ◽  
G. Pagliai ◽  
B. Colombini ◽  
R. Molino Lova ◽  
F. Vannetti ◽  
...  
Stroke ◽  
2021 ◽  
Vol 52 (Suppl_1) ◽  
Author(s):  
Brianna R Helms

Background: Present rise in the incidence of obesity has led to several opposing reports regarding the association between obesity and stroke outcomes. The objective of this study was to investigate a proposed paradoxical relationship between body mass index (BMI) and functional status in ischemic stroke patients at time of hospital discharge. Methods: Saint Francis Hospital Comprehensive Stroke Center patient databases were utilized in identifying 948 patients eligible for retrospective chart review over a period of 15 months. Subjects were divided into 4 groups according to BMI: underweight (BMI < 18.5 kg/m 2 ), normal weight (BMI 18.5-24.9 kg/m 2 ), overweight (BMI 25.0-29.9 kg/m 2 ), and obese (BMI ≥ 30.0 kg/m 2 ). Covariates, such as age, gender, prior to event modified Rankin scale (mRS), stroke recurrence, and smoking, were considered. Functional status and disability of stroke patients was scored via mRS at hospital discharge. Ordered logistic regression, Pearson’s chi-squared test, and Pearson’s r correlation were used for analysis to assess the association of BMI and functional status in ischemic strokes. Results: Of 948 eligible subjects, 49.9% were female and mean (SD) age was 69.4 (14.5) years. According to BMI, 22 (2.3%) were underweight, 247 (26.1%) normal weight, 319 (33.7%) overweight, and 360 (37.9%) obese. After adjusting for covariates, ischemic stroke patients with an increased BMI (OR, 0.98; 95% CI, 0.96-0.99) were not associated with increased disability risk upon discharge. Obese (16.2%) and overweight (14.1%) patients discharged with a mRS of 0 (back to baseline) or 1 more frequently compared to normal weight (6.1%) and underweight (0.21%) patients ( P <0.001). Furthermore, an inverse association between BMI status and disability was significantly evident ( r = -0.17, P < 0.001). Conclusion: Obese and overweight stroke patients discharge with a lower risk of disability than normal weight and underweight patients, supporting the existence of the “obesity paradox” in stroke. An inverse association between obesity status and functional outcome was identified and remained significant regardless of covariates.


2012 ◽  
Vol 54 (1) ◽  
pp. 78-81 ◽  
Author(s):  
Gulistan Bahat ◽  
Fatih Tufan ◽  
Bulent Saka ◽  
Sibel Akin ◽  
Hilal Ozkaya ◽  
...  

2018 ◽  
Vol 18 (1) ◽  
Author(s):  
Su-min Jeong ◽  
Seulggie Choi ◽  
Kyuwoong Kim ◽  
Sung Min Kim ◽  
Sujin Kim ◽  
...  

2018 ◽  
Vol 69 (7) ◽  
pp. 1673-1677
Author(s):  
Viviana Aursulesei ◽  
Andrei Manta ◽  
Razan Al Namat ◽  
Monica Hugianu ◽  
Angela Maria Moloce ◽  
...  

The bidirectional relation between body mass index (BMI) and heart failure (HF) is complex and not fully understood. The obesity paradox phenomena is controversial and related to patient selection, parameters used for defining abnormal weight, characteristics of HF. Our study sustain the importance of controlling risk factors, in particular plasma glucose, lipid levels, as well as hypertension in patients with HF and BMI over 25 kg/m2. Also, in contrast to the randomized control studies our results can only partially support data related to obesity paradox phenomena.


2021 ◽  
Vol 72 ◽  
pp. 101912
Author(s):  
Shria Kumar ◽  
Nadim Mahmud ◽  
David S. Goldberg ◽  
Jashodeep Datta ◽  
David E. Kaplan

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Minwoo Lee ◽  
Mi Sun Oh ◽  
San Jung ◽  
Ju-Hun Lee ◽  
Chul-Ho Kim ◽  
...  

AbstractAlthough the obesity paradox is an important modifiable factor in cardiovascular diseases, little research has been conducted to determine how it affects post-stroke cognitive function. We aimed to investigate the association between body mass index (BMI) and domain-specific cognitive outcomes, focusing on the subdivision of each frontal domain function in post-ischemic stroke survivors. A total of 335 ischemic stroke patients were included in the study after completion of the Korean-Mini Mental Status Examination (K-MMSE) and the vascular cognitive impairment harmonization standards neuropsychological protocol at 3 months after stroke. Frontal lobe functions were analyzed using semantic/phonemic fluency, processing speed, and mental set shifting. Our study participants were categorized into four groups according to BMI quartiles. The z-scores of K-MMSE at 3 months differed significantly between the groups after adjustment for initial stroke severity (p = 0.014). Global cognitive function in stroke survivors in the Q1 (the lowest quartile) BMI group was significantly lower than those in Q2 and Q4 (the highest quartile) BMI groups (K-MMSE z-scores, Q1: − 2.10 ± 3.40 vs. Q2: 0.71 ± 1.95 and Q4: − 1.21 ± 1.65). Controlled oral word association test findings indicated that phonemic and semantic word fluency was lower in Q4 BMI group participants than in Q2 BMI group participants (p = 0.016 and p = 0.023 respectively). BMI might differentially affect cognitive domains after ischemic stroke. Although being underweight may negatively affect global cognition post-stroke, obesity could induce frontal lobe dysfunctions, specifically phonemic and semantic word fluency.


Author(s):  
Eka Peng Cox ◽  
Rebecca Cook ◽  
Nicholas O’Dwyer ◽  
Cheyne Donges ◽  
Helen Parker ◽  
...  

Background: There is evidence that physical activity (PA), sitting time, and obesity may impact cognition, but few studies have examined this in young women. Methods: Healthy women (18–35 y), without conditions that impair cognition, were recruited for this cross-sectional study. Participants completed anthropometric and validated computerized cognitive assessments (IntegNeuro™). Performance on 5 cognitive domains (impulsivity, attention, information processing, memory, and executive function) was reported as z scores. Sitting hours and weekly PA calculated from time in low-, moderate-, and high-intensity activity were obtained via the International Physical Activity Questionnaire. Analysis of variance/analysis of covariance, chi-square, and linear regression were used. Results: 299 (25.9 [5.1] y) women (low PA = 19%; moderate PA = 40%; high PA = 41%) participated. High PA women had lower body mass index (high PA = 26.1 [6.5]; moderate PA = 30.0 [8.7]; low PA = 31.0 [11.1] kg/m2; P < .001) and less sitting time (high PA = 6.6 [3.1]; moderate PA = 7.7 [2.8]; low PA = 9.3 [3.6] hr/weekday; P < .0001). Cognitive function was within normal ranges and did not differ between any PA groups (P = .42). Adjusting for body mass index, C-reactive protein, or sitting hours did not alter results. Weak correlations were found between time in high-intensity activity and impulsivity (b = 0.12, r2 = .015; P = .04), and between sitting hours and information processing efficiency (b = −0.18, r2 = .03; P = .002). Valuesare presented as mean (SD). Conclusions: Cognitive function was within the normal range, regardless of PA or sitting time.


Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
William J Kostis ◽  
Javier Cabrera ◽  
Fei Wang ◽  
Sara J Guterl ◽  
Dhammika Amaratunga ◽  
...  

Introduction: J relationships of body mass index (BMI) with mortality have been described. However, little data are available on long-term follow-up in controlled clinical trials with respect to cardiovascular (CV) and all cause mortality. Hypothesis: We tested whether there is a J shape relationship between BMI with CV and all cause mortality at 22 years in the Systolic Hypertension in the Elderly Program (SHEP). Methods: SHEP was a placebo controlled, randomized clinical trial of antihypertensive therapy in patients with isolated systolic hypertension aged 60 and older. The relationship between CV and all cause mortality with baseline BMI was examined in 4,211 SHEP participants. Results: In unadjusted analyses, a J relationship was observed for all-cause mortality (linear term p=0.0318, quadratic term p=0.3217 and tricubic term p=0.0046) and for CV mortality (linear term p=0.0962, quadratic term p=0.6866 and tricubic term p=0.0908, left figure). The lowest risk was at a BMI of 25.9 for all-cause and 25.5 for CV mortality. The J shaped relationship between BMI and mortality was attenuated after adjustment for age, gender, comorbidities (e.g. diabetes, heart failure) and risk factors for CV disease (e.g. smoking and dyslipidemia, right figure). Age and gender were significant predictors of both all- cause and CV mortality: age p<0.0001, female gender p=0.0063 for all-cause mortality and p<0.0001 for age and p=0.0004 for female gender for CV mortality. <br/Conclusions: This study indicates that both very low and very high BMI are markers of high risk. The J relationship between BMI and mortality is mediated by age, female gender, comorbidities and risk factors for CV disease.


Sign in / Sign up

Export Citation Format

Share Document