Body mass index and mortality in patients with and without diabetes mellitus

Akirov, Amit; Shochat, Tzipora; Masri-Iraqi, Hiba; Dicker, Dror; Diker-Cohen, Talia; Shimon, Ilan

doi:10.1002/dmrr.2979

Cited by 3 publications

(4 citation statements)

References 27 publications

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“…showed that normal weight individuals with T2DM had higher odds for all‐cause mortality compared with subjects with a BMI ≥25 kg/m 2 237 . The finding that a higher BMI (even in those classified as having severe obesity) was protective against all‐cause mortality in patients with T2DM has also been replicated across different ethnicities 238 . Interestingly, individuals within the underweight or near‐normal BMI categories were observed to have the highest risk compared with all other BMI categories 238 .…”

Section: Natural Course and Clinical Implications Of Mho And Muhnwmentioning

confidence: 83%

“…238 Interestingly, individuals within the underweight or near-normal BMI categories were observed to have the highest risk compared with all other BMI categories. 238 These data support the obesity paradox (i.e. the reduced mortality risk observed in people with obesity as compared to normal weight) at least within subjects with diabetes.…”

Section: Zhang Et Al Reported the Highest Transitions From Muhnw Tomentioning

confidence: 96%

“…237 The finding that a higher BMI (even in those classified as having severe obesity) was protective against all-cause mortality in patients with T2DM has also been replicated across different ethnicities. 238 Interestingly, individuals within the underweight or near-normal BMI categories were observed to have the highest risk compared with all other BMI categories. 238 These data support the obesity paradox (i.e.…”

Section: Zhang Et Al Reported the Highest Transitions From Muhnw Tomentioning

confidence: 96%

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Phenotyping obesity: A focus on metabolically healthy obesity and metabolically unhealthy normal weight

Agius,

Pace,

Fava

2023

Diabetes Metabolism Res

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Over the past 4 decades, research has shown that having a normal body weight does not automatically imply preserved metabolic health and a considerable number of lean individuals harbour metabolic abnormalities typically associated with obesity. Conversely, excess adiposity does not always equate with an abnormal metabolic profile. In fact, evidence exists for the presence of a metabolically unhealthy normal weight (MUHNW) and a metabolically healthy obese (MHO) phenotype. It has become increasingly recognised that different fat depots exert different effects on the metabolic profile of each individual by virtue of their location, structure and function, giving rise to these different body composition phenotypes. Furthermore, other factors have been implicated in the aetiopathogenesis of the body composition phenotypes, including genetics, ethnicity, age and lifestyle/behavioural factors. Even though to date both MHO and MUHNW have been widely investigated and documented in the literature, studies report different outcomes on long‐term cardiometabolic morbidity and mortality. Future large‐scale, observational and population‐based studies are required for better profiling of these phenotypes as well as to further elucidate the pathophysiological role of the adipocyte in the onset of metabolic disorders to allow for better risk stratification and a personalised treatment paradigm.

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Section: Natural Course and Clinical Implications Of Mho And Muhnwmentioning

confidence: 83%

Section: Zhang Et Al Reported the Highest Transitions From Muhnw Tomentioning

confidence: 96%

Section: Zhang Et Al Reported the Highest Transitions From Muhnw Tomentioning

confidence: 96%

See 1 more Smart Citation

Phenotyping obesity: A focus on metabolically healthy obesity and metabolically unhealthy normal weight

Agius,

Pace,

Fava

2023

Diabetes Metabolism Res

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“…Initial assessment of the patients by history and clinical physical examination was performed and listed in the performed data compilation sheet. Data was collected through routine examination (RE) urine samples to assess proteinuria for preeclampsia while body weights were measured in kilograms and heights in centimeters for determination of obesity according to body mass index (BMI) classification that for Normal is (18.5-24.9), over 18 weight (25-29.9) and obese (30-34.9). Data was analyzed by using Statistical Package for Social Sciences (SPSS) Version 20; frequencies and percentages were taken and chi square test was applied to find association between obesity, preeclampsia and GDM.…”

Section: Methodsmentioning

confidence: 99%

Association of Gestational Diabetes Mellitus With Maternal Obesity and Preeclampsia: Hospital-Based Cross-Sectional Study

Jahan¹,

Qazi

Khalid³

et al. 2018

KMUJ

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OBJECTIVE:To determine the association of gestational diabetes mellitus (GDM) with maternal obesity and Preeclampsia in antenatal patients attending Pakistan Railway General hospital (PRGH) Rawalpindi, Pakistan. METHODS:This cross-sectional survey was conducted in PRGH Rawalpindi, Pakistan from February-April 2015. By using convenient sampling technique, 60 pregnant women, aged 18-38 years with gestational age more than 20 weeks were included. Thirty diagnosed GDM women were taken in one group while 30 non-GDM women in other according to the diagnostic criteria of 75-g, 2-h oral glucose tolerance test recommended by American diabetes association. Data was collected in a self-designed structured questionnaire including demographics, routine examination of urine samples while body weights were measured in kilograms and heights in centimeters for determination of obesity according to body mass index (BMI) classification that for normal is (18.5-24.9), over-weight (25-29.9) and obese (>30). RESULTS:In group of women with GDM, 5 (16.6%) had normal weight, 16 (53.3%) were found to be overweight while 9 (30%) were obese and 0 (0%) were under-weight according to BMI table. In the second group of non-GDM, 18 women (60%) had a normal weight while 6 (20%) were overweight and 6 (20%) were obese. Hence there were more over-weight patients with gestational diabetes with a significant association (p<0.05). On the other hand, 5 (16.66%) GDM women and 3(10%) non-GDM women had preeclampsia (p>0.05). CONCLUSION:A significant association of GDM with maternal obesity was observed in our population whereas preeclampsia with GDM had no significant association.

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Predictors of 15-year survival among Australian women with diabetes from age 76–81

Wubishet

Forder

Acharya

et al. 2019

Diabetes Research and Clinical Practice

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Body mass index and mortality in patients with and without diabetes mellitus

Abstract: In hospitalized patients with and without DM, there was an inverse association between BMI and mortality.

Cited by 3 publications

References 27 publications

Phenotyping obesity: A focus on metabolically healthy obesity and metabolically unhealthy normal weight

Phenotyping obesity: A focus on metabolically healthy obesity and metabolically unhealthy normal weight

Association of Gestational Diabetes Mellitus With Maternal Obesity and Preeclampsia: Hospital-Based Cross-Sectional Study

Predictors of 15-year survival among Australian women with diabetes from age 76–81

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