scholarly journals Obesity and the heart: The impact of obesity beyond the body mass index

2020 ◽  
Vol 27 (18) ◽  
pp. 2004-2005 ◽  
Author(s):  
AG Vos
2021 ◽  
Vol 12 ◽  
pp. 215013272110185
Author(s):  
Sanjeev Nanda ◽  
Audry S. Chacin Suarez ◽  
Loren Toussaint ◽  
Ann Vincent ◽  
Karen M. Fischer ◽  
...  

Purpose The purpose of the present study was to investigate body mass index, multi-morbidity, and COVID-19 Risk Score as predictors of severe COVID-19 outcomes. Patients Patients from this study are from a well-characterized patient cohort collected at Mayo Clinic between January 1, 2020 and May 23, 2020; with confirmed COVID-19 diagnosis defined as a positive result on reverse-transcriptase-polymerase-chain-reaction (RT-PCR) assays from nasopharyngeal swab specimens. Measures Demographic and clinical data were extracted from the electronic medical record. The data included: date of birth, gender, ethnicity, race, marital status, medications (active COVID-19 agents), weight and height (from which the Body Mass Index (BMI) was calculated, history of smoking, and comorbid conditions to calculate the Charlson Comorbidity Index (CCI) and the U.S Department of Health and Human Services (DHHS) multi-morbidity score. An additional COVID-19 Risk Score was also included. Outcomes included hospital admission, ICU admission, and death. Results Cox proportional hazards models were used to determine the impact on mortality or hospital admission. Age, sex, and race (white/Latino, white/non-Latino, other, did not disclose) were adjusted for in the model. Patients with higher COVID-19 Risk Scores had a significantly higher likelihood of being at least admitted to the hospital (HR = 1.80; 95% CI = 1.30, 2.50; P < .001), or experiencing death or inpatient admission (includes ICU admissions) (HR = 1.20; 95% CI = 1.02, 1.42; P = .028). Age was the only statistically significant demographic predictor, but obesity was not a significant predictor of any of the outcomes. Conclusion Age and COVID-19 Risk Scores were significant predictors of severe COVID-19 outcomes. Further work should examine the properties of the COVID-19 Risk Factors Scale.


2020 ◽  
Vol 3 (2) ◽  
pp. 15
Author(s):  
Kanako Eiwa ◽  
Naomi Nakayama ◽  
Yumi Takami ◽  
Shuko Iwasaki ◽  
Yoshinori Hino ◽  
...  

Background: Home-based medical care is expanding rapidly in Japan.Objectives: We aimed to identify the factors associated with outcomes of therapy in patients receiving home-visit rehabilitation.Methods: One hundred twenty-one patients receiving home-based rehabilitation were investigated. Nutritional status was assessed by the Mini Nutritional Assessment Short Form (MNA-SF). The Functional Independence Measure (FIM) was employed to assess the activities of daily living (ADL). The body mass index (BMI), medical history, and orthopedic disease-related pain were also recorded. The primary outcome was the improvement in FIM scores in one year.Results: A total of 19 (17%) patients were malnourished and 58 (48%) were at risk of malnutrition. Malnourished patients had a lower FIM score at initiation than those at risk of malnutrition or with normal nutritional status. Only changes in patients’ BMI and MNA-SF scores over one year were significantly associated with improved FIM scores (p = 0.0079 and p = 0.0049, respectively). No association was noted with the other factors.Conclusions: This is the first report to demonstrate that changes in MNA-SF scores and BMI are significantly associated with rehabilitation outcomes in home-based care. Nutritional management is essential along with rehabilitation to improve ADL in the long-term home care setting.


Neurosurgery ◽  
2013 ◽  
Vol 73 (2) ◽  
pp. 201-208 ◽  
Author(s):  
Johannes Platz ◽  
Erdem Güresir ◽  
Patrick Schuss ◽  
Jürgen Konczalla ◽  
Volker Seifert ◽  
...  

Abstract BACKGROUND: Obesity is a risk factor for cardiovascular disease and associated with a poor outcome, especially for intensive care patients. However, recent studies have described favorable outcomes of obese patients after stroke, a phenomenon called the “obesity paradox.” OBJECTIVE: To assess the impact of the body mass index (BMI) on outcome after subarachnoid hemorrhage (SAH). METHODS: We analyzed the data for 741 SAH patients. A BMI greater than 25 kg/m2 was considered overweight and greater than 30 kg/m2 obese. The outcome according to the Glasgow Outcome Scale at discharge and after 6 months was assessed using logistic regression analysis. RESULTS: According to the BMI, 268 patients (36.2%) were overweight and 113 (15.2%) were obese. A favorable outcome (Glasgow Outcome Scale score &gt;3) was achieved in 53.0% of overweight patients. In contrast, 61.4% of the 360 patients with a normal BMI had a favorable outcome (P = .021). However, in the multivariate analysis, only age (odds ratio [OR]: 1.051, 95% confidence interval [CI]: 1.04-1.07, P &lt; .001), World Federation of Neurological Surgeons grade (OR: 2.095, 95% CI: 1.87-2.35, P &lt; .001), occurrence of vasospasm (OR: 2.90, 95% CI: 1.94-4.34, P &lt; .001), and aneurysm size larger than 12 mm (OR: 2.215, 95% CI: 1.20-4.10, P = .011) were independent predictors of outcome after 6 months. Of the 321 poor grade patients (World Federation of Neurological Surgeons score &gt;3), 171 (53.3%) were overweight. Of these, 21.6% attained a favorable outcome compared with 35.3% of normal-weight patients (P = .006). CONCLUSION: Although many physicians anticipate a worse outcome for obese patients, in our study, the BMI was not an independent predictor of outcome. Based on the BMI, obesity seems to be negligible for outcome after SAH compared with the impact of SAH itself, the patient's age, occurrence of vasospasm, or aneurysm size.


2016 ◽  
Vol 36 (9) ◽  
pp. 185-193 ◽  
Author(s):  
S. Dzakpasu ◽  
J. Duggan ◽  
J. Fahey ◽  
R. S. Kirby

Introduction The objective of this study was to assess bias in the body mass index (BMI) measure in the Canadian Maternity Experiences Survey (MES) and possible implications of bias on the relationship between BMI and selected pregnancy outcomes. Methods We assessed BMI classification based on self-reported versus measured values. We used a random sample of 6175 women from the MES, which derived BMI from self-reported height and weight, and a random sample of 259 women who had previously given birth from the Canadian Health Measures Survey (CHMS), which derived BMI from self-reported and measured height and weight. Two correction equations were applied to self-reported based BMI, and the impact of these corrections on associations between BMI and caesarean section, small-for-gestational age (SGA) and large-for-gestational age (LGA) births was studied. Results Overall, 86.9% of the CHMS subsample was classified into the same BMI category based on self-reported versus measured data. However, misclassification had a substantial effect on the proportion of women in underweight and obese BMI categories. For example, 14.5% versus 20.8% of women were classified as obese based on self-reported data versus measured data. Corrections improved estimates of obesity prevalence, but over- and underestimated other BMI categories. Corrections had nonsignificant effects on the associations between BMI and SGA, LGA, and caesarean section. Conclusion While there was high concordance in BMI classification based on selfreported versus measured height and weight, bias in self-reported based measures may slightly over- or underestimate the risks associated with a particular BMI class. However, the general trend in associations is unaffected.


Author(s):  
Mahtab Senobari ◽  
Elham Azmoude ◽  
Marziyeh Mousavi

Background: The prevalence of sexual problems is high during pregnancy. Despite this, there are limited data about the impact of physical and psychological factors such as body weight and body image on sexual function in pregnant women. Objective: To investigate the relationship between body mass index, body image, and sexual function among pregnant women. Materials and Methods: In this cross-sectional study, a total of 206 Iranian pregnant women (106 with normal weight and 100 overweight women) in their 2nd and 3rd trimesters of pregnancy were surveyed. Survey instruments included the Female Sexual Function Index and Multidimensional Body-Self Relations Questionnaire. Results: The prevalence of female sexual disorder was 72.3% in this survey. Diminished sexual desire/appetite was the most common problem reported by the participants (37.9%). The mean score of sexual problem and body image were not significantly different among overweight and normal weight women in the 2nd (p = 0.945 and p = 0.800, respectively) and 3rd trimesters of pregnancy (p = 0.310 and p = 0.507, respectively). Further, there were no relationships between the body mass index plus body image and the total female sexual function score (p = 0.44 and p = 0.837, respectively). However, the relationship between the appearance evaluation with lubrication (p = 0.043) and subjective weight with two subscales of sexual satisfaction (p = 0.005) and orgasm (p = 0.019) were significant. Conclusion: The findings from this study revealed that there were no relationships between body mass index plus body image score and the sexual function in pregnancy. Therefore, a further research is recommended to study other potential factors affecting sexual function during pregnancy.


2020 ◽  
Vol 35 (5) ◽  
pp. 396-406
Author(s):  
R Saavedra Dias ◽  
A N Barros ◽  
A J Silva ◽  
J C Leitão ◽  
J Narciso ◽  
...  

Abstract Effective obesity interventions in adolescent populations have been identified as an immediate priority action to stem the increasing prevalence of adult obesity. The purpose of this meta-analysis was to make a quantitative analysis of the impact of school-based interventions on body mass index during adolescence. Studies were retrieved from PubMed, Scopus, Science Direct and Web of Science databases. Results were pooled using a random-effects model with 95% confidence interval considered statistically significant. Of the 18 798 possible relevant articles identified, 12 articles were included in this meta-analysis. The global result showed a low magnitude effect, though it was statistically significant (N = 14 428), global e.s. = −0.055, P = 0.004 (95% CI = −0.092, −0.017). Heterogeneity was low among the studies (I2 = 9.017%). The funnel plot showed no evidence of publication bias. The rank-correlation test of Begg (P = 0.45641) and Egger’s regression (P = 0.19459) confirmed the absence of bias. This meta-analysis reported a significant effect favoring the interventions; however, future research are needed since the reported the evidence was of low magnitude, with the studies following a substantial range of approaches and mostly had a modest methodological quality.


2013 ◽  
Vol 289 (4) ◽  
pp. 803-807 ◽  
Author(s):  
David Bardens ◽  
Erich Solomayer ◽  
Sascha Baum ◽  
Julia Radosa ◽  
Stefan Gräber ◽  
...  

2018 ◽  
Vol 25 (1) ◽  
pp. 37-46 ◽  
Author(s):  
Hayat Didaoui ◽  
Méghit Boumediene Khaled

Abstract Background and aims: The aim of the current study was to assess the impact of environmental factors; food, socio-economic, and physical activity, on a group of obese children living in Ain-Defla (Center Algeria) and Sidi-Bel-Abbes (West Algeria). Material and methods: The protocol was carried out on a cohort of 125 school children aged of 5 to 11 years, including 64 boys and 61 girls, and 139 school children, including 93 boys and 46 girls in Ain Defla and Sidi-Bel-Abbes respectively. Concerning the classification of obesity and overweight, we referred to the International Obesity Task Force and the French References' curves. Results: Regarding dietary intake our results showed that 34% of students from both regions took their breakfast, compared to 66% who did not take. Furthermore, 73% of students skipped at least one meal, however 23% respected meals frequency i.e. 4 meals a day. Regarding socio-economic factors and physical activity, our findings showed that obesity rates were high (36%) among children whose fathers are workers. However, for mothers who are housewives, obesity increases among their children (88%). The relationship was reversed between the parents' education level and the Body Mass Index. We found an opposite relationship between Body Mass Index and physical activity, and investigated children use screen devices for long time periods. Conclusions: Our study showed a positive relationship between obesity and overweight and environmental factors.


2007 ◽  
Vol 51 (4) ◽  
pp. 601-605 ◽  
Author(s):  
Cristiano R.G. Barcellos ◽  
Michelle P. Rocha ◽  
Sylvia A.Y. Hayashida ◽  
Márcia Nery ◽  
José A.M. Marcondes

Patients with polycystic ovary syndrome (PCOS) present a higher risk for abnormalities of glucose metabolism (AGM). For to study this in our population, we submitted 85 patients, with body mass index (BMI) of 28.5 ± 6.6 kg/m² and aged 25.5 ± 5.4 years old, to an oral glucose tolerance test (OGTT), and assessed the impact of BMI on the prevalence of impaired glucose tolerance (IGT) and of diabetes mellitus (DM). The states of glucose tolerance were classified considering fasting plasma glucose (FPG) according to the American Diabetes Association (ADA) criterion and plasma glucose at 120 minutes according to the Word Health Organization (WHO) criterion. According to the ADA criteria, 83.5% classified as normal and 16.5% as with AGM, with 15.3% presenting impaired fasting glucose and 1.2% DM, while according to the WHO criteria, 68.2% were classified as normal and 31.8% as with AGM, with 27.0% of them presenting IGT and 4.8% DM. Seventy-three percent of PCOS patients with IGT by WHO criterion had normal FPG by ADA criterion. The prevalence of AGM for both criteria increased with the body mass index. In conclusion, we found a higher prevalence of AGM in PCOS patients than that found in the general population, being the highest in obese patients. Glycemia at 120 minutes on the OGTT identified more patients with AGM than fasting glycemia. We recommended that the assessment of AGM must be done by the OGTT in all patients with PCOS.


Author(s):  
Yunwon Choi ◽  
Heeyeun Yoon

This study investigates the impact of neighborhood-built environments on obesity in interrelationship with socioeconomic status (SES)—controlling for dietary patterns and physical activities of residents—using structural equation modeling (SEM). A total of 577 samples who are between 19 and 64 years old and reside in Seoul are extracted from Korea National Health and Nutrition Examination Survey (KNHNES), 2015. Neighborhood environments are represented as the two latent constructs—walkability and leisure amenities—composited with indicators such as density of intersections, density of mixed-use area, and the area of open spaces and are aggregated by jurisdictional unit in Seoul. We found that greater walkability in a neighborhood explained a lower body mass index (BMI) among residents, whereas more urban leisure amenities in a neighborhood explained a higher BMI. The finding suggests that a walking-friendly environment is more effective than active recreational amenities in inducing people to engage in daily physical activities to the level that reduces obesity rate. SES exerted a negative impact on BMI of a greater magnitude than the impact of either of the environmental living conditions, reinforcing the importance of general wealth and education level in leading to a healthy lifestyle. Our research contributes to growing evidence of a relationship between obesity and the built environment in the context of Asian countries where the prevalence of obesity is becoming a serious issue and requires immediate attention.


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