scholarly journals Trajectories of body mass index and risk for coronary heart disease: A 38-year follow-up study

PLoS ONE ◽  
2021 ◽  
Vol 16 (10) ◽  
pp. e0258395
Author(s):  
Susanna Calling ◽  
Sven-Erik Johansson ◽  
Veronica Milos Nymberg ◽  
Jan Sundquist ◽  
Kristina Sundquist
Keyword(s):  
Body Mass Index ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Life Course ◽  
Body Mass ◽  
Normal Weight ◽  
World Health ◽  
Chd Risk ◽  
Increased Risk ◽  
Overweight Or Obesity

Objective Obesity is a well-known risk factor for coronary heart disease (CHD), but there is little evidence on the effect of long-term trajectories of body mass index (BMI) over the life course. By using repeated assessments, the aim was to study the risk of CHD in adults during 38 years in different trajectories of BMI. Methods A sample of 2129 men and women, aged 20–59 years at baseline, took part in four repeated interviews between 1980 and 2005. Data on BMI, medical history, lifestyle and socioeconomy were collected. Based on the World Health Organization categories of BMI, life course trajectories of stable normal weight, stable overweight, stable obesity, increasing BMI and fluctuating BMI were created. The individuals were followed through national registers for first hospitalization of CHD (389 events) until the end of 2017, and Hazard Ratios (HRs) were calculated, adjusted for age, sex, socioeconomic factors, lifestyle factors and metabolic comorbidities. Results Stable normal weight in all assessments was the reference group. Those who had an increase in BMI from normal weight in the first assessment to overweight or obesity in later assessments had no increased risk of CHD, HR 1.04 (95% CI: 0.70–1.53). The HR for individuals with fluctuating BMI was 1.25 (0.97–1.61), for stable overweight 1.43 (1.03–1.98), for stable obesity 1.50 (0.92–2.55), and for stable overweight or obesity 1.45 (1.07–1.97), after full adjustments. Conclusion Having a stable overweight or obesity throughout adult life was associated with increased CHD risk but changing from normal weight at baseline to overweight or obesity was not associated with increased CHD risk. Prevention of obesity early in life may be particularly important to reduce CHD risk.

scholarly journals Risk of coronary heart disease among cancer survivors with different prediagnosis body mass index

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ahryoung Ko ◽  
Kyuwoong Kim ◽  
Joung Sik Son ◽  
Yu Jin Cho ◽  
Sang Min Park ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Cancer Survivors ◽  
Body Mass ◽  
Proportional Hazards Model ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Cancer Site ◽  
Chd Risk

AbstractAssociation between body mass index (BMI) and coronary heart disease (CHD) in cancer survivors is not clearly established. This study analyzed the prediagnosis BMI-CHD association by examining 13,500 cancer survivors identified from the National Health Insurance Service-Health Screening Cohort from January 1, 2004 to December 31, 2009 including the patients who were free of cardiovascular disease at enrollment. The Cox proportional hazards model (adjusted for socioeconomic, health behavior, health status, and medical characteristics) was used for calculating hazard ratios (HR) and 95% confidence intervals (95% CI) for CHD in each prediagnosis BMI category among cancer survivors. Compared to cancer survivors with a prediagnosis BMI between 18.5 and 22.9 kg/m2, those with a prediagnosis BMI of 23.0–24.9 kg/m2 and ≥ 25.0 kg/m2 had significantly higher CHD risk (HR = 1.51; 95% CI: 1.13–2.01 and HR = 1.38; 95% CI: 1.04–1.84, respectively). Cancer survivors with a low prediagnosis BMI (< 18.5 kg/m2) also had significantly higher CHD risk (HR = 1.97; 95% CI: 1.20–3.24) compared to those with a BMI of 18.5–22.9 kg/m2. Similar associations were found after stratifying analyses based on first cancer site and sociodemographic and medical characteristic subgroups. Our study suggests that prediagnosis underweight among patients with cancer is a predictor of CHD risk.

Abstract 17260: Body Mass Index, Waist Circumference and the 6-Year Risk of Coronary Heart Disease in 708,544 Thai Men and Women: HCUR Study

Circulation ◽  
2018 ◽  
Vol 138 (Suppl_1) ◽  
Author(s):  
Parinya Chamnan ◽  
Weera Mahawanakul ◽  
Wichai Aekplakorn ◽  
Wannee Nitiyanant ◽  
Prasert Boongird ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Waist Circumference ◽  
Body Mass ◽  
Retrospective Cohort ◽  
Central Obesity ◽  
Men And Women ◽  
Chd Risk ◽  
Different Levels

Introduction: Body mass index (BMI) and waist circumference has been reported to have a positive association with risk of coronary heart disease (CHD) and their optimal levels have been proposed. However, the association was less well described in Asian population. Hypothesis: This study aimed to examine the risk of developing CHD across different levels of BMI and waist circumference in a large retrospective cohort of Thai general population. Methods: This retrospective cohort was derived from the linkage of 2006 health checks data with diagnostic information from electronic health records of 708,544 men and women aged 20 years and above residing in Ubon Ratchathani. We examined the incidence of CHD over 6 years of follow-up in individuals with different levels of BMI defined by the WHO Asia-Pacific cut-offs and central obesity defined as waist circumference higher than half of each individual’s height. Corresponding hazard ratios were computed using Cox proportional hazards regression. Results: Over 3,514,681 person-years, 2,562 CHD cases developed, an overall incidence of 0.73 (95%CI 0.70-0.76) per 1,000 person-years. BMI had a J-shape association with CHD risk, with those with a BMI of 20-22.4 kg/m2 showing the lowest CHD incidence. Waist circumference had a curvilinear relationship with CHD risk, with CHD risk starting to increase after waist circumference of 80 and 85 cm in women and men respectively. CHD risk increased with higher levels of BMI and waist circumference (Table 1). Compared to those with BMI of 20.0-22.9 kg/m 2 and without central obesity, those with BMI higher than 30 kg/m 2 and with and without central obesity had a 1.8 and 2.4 fold increased risk of CHD (Adjusted hazards ratio 1.80 (1.46-2.24) and 2.39 (1.38-4.13) respectively). Conclusions: Different levels of BMI and waist circumference conferred different CHD risk. Change in optimal cut-off of BMI and waist circumference for the Thai population should be considered.

scholarly journals Exploring the causal pathway from body mass index to coronary heart disease: a network Mendelian randomization study

2020 ◽  
Vol 11 ◽  
pp. 204062232090904
Author(s):  
Xun Hu ◽  
Xiao-Dong Zhuang ◽  
Wei-Yi Mei ◽  
Gang Liu ◽  
Zhi-Min Du ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Body Mass ◽  
Mendelian Randomization ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Causal Association ◽  
Increased Risk ◽  
Lipid Parameters

Background: We applied a network Mendelian randomization (MR) framework to determine the causal association between body mass index (BMI) and coronary heart disease (CHD) and explored whether glycated hemoglobin (HbA1c) and lipid parameters (total cholesterol, TC; low-density lipoprotein cholesterol, LDL; high-density lipoprotein cholesterol, HDL; triglycerides, TG) serve as causal mediators from BMI to CHD by integrating summary-level genome-wide association study data. Methods: Network MR analysis, an approach using genetic variants as the instrumental variables for both the exposure and mediator to infer causality was performed. Summary statistics from the GIANT consortium were used ( n = 152,893) for BMI, CARDIoGRAMplusC4D consortium data were used ( n = 184,305) for CHD, Global Lipids Genetics Consortium data were used ( n = 108,363) for TC, LDL, HDL and TG, and MAGIC consortia data were used ( n = 108,363) for HbA1c. Results: The inverse-variance-weighted-method estimate indicated that the odds ratio (95% confidence interval) for CHD was 1.562 (1.391–1.753) per 1 standard deviation (kg/m2) increase in BMI. Results were consistent in MR Egger method and weighted-median methods. MR estimate indicated that BMI was positively associated with HbA1c and TG, and negatively associated with HDL, but was not associated with TC or LDL. Moreover, HbA1c, TC, LDL, and TG were positively associated with CHD, yet there was no causal association between HDL and CHD. HbA1c was positively associated with TC, LDL, and HDL, but was not associated with TG. Conclusions: Higher BMI conferred an increased risk of CHD, which was partially mediated by HbA1c and lipid parameters. HbA1c and TG might be the main mediators in the link from BMI to CHD.

Body Mass Index, Lipid Metabolism and Estrogens: Their Impact on Coronary Heart Disease

2014 ◽  
Vol 21 (30) ◽  
pp. 3455-3465 ◽  
Author(s):  
G.D. Kolovou ◽  
V. Kolovou ◽  
P.M. Kostakou ◽  
S. Mavrogeni
Keyword(s):  
Body Mass Index ◽  
Coronary Heart Disease ◽  
Heart Disease ◽  
Lipid Metabolism ◽  
Body Mass

scholarly journals Higher body mass index is associated with larger postoperative improvement in patient-reported outcomes following total knee arthroplasty

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
K Giesinger ◽  
JM Giesinger ◽  
DF Hamilton ◽  
J Rechsteiner ◽  
A Ladurner
Keyword(s):  
Body Mass Index ◽  
Total Knee Arthroplasty ◽  
Pain Relief ◽  
Body Mass ◽  
Knee Arthroplasty ◽  
Normal Weight ◽  
World Health ◽  
Obese Patients ◽  
Total Knee ◽  
The Impact

Abstract Background Total knee arthroplasty is known to successfully alleviate pain and improve function in endstage knee osteoarthritis. However, there is some controversy with regard to the influence of obesity on clinical benefits after TKA. The aim of this study was to investigate the impact of body mass index (BMI) on improvement in pain, function and general health status following total knee arthroplasty (TKA). Methods A single-centre retrospective analysis of primary TKAs performed between 2006 and 2016 was performed. Data were collected preoperatively and 12-month postoperatively using WOMAC score and EQ-5D. Longitudinal score change was compared across the BMI categories identified by the World Health Organization. Results Data from 1565 patients [mean age 69.1, 62.2% women] were accessed. Weight distribution was: 21.2% BMI < 25.0 kg/m2, 36.9% BMI 25.0–29.9 kg/m2, 27.0% BMI 30.0–34.9 kg/m2, 10.2% BMI 35.0–39.9 kg/m2, and 4.6% BMI ≥ 40.0 kg/m2. All outcome measures improved between preoperative and 12-month follow-up (p < 0.001). In pairwise comparisons against normal weight patients, patients with class I-II obesity showed larger improvement on the WOMAC function and total score. For WOMAC pain improvements were larger for all three obesity classes. Conclusions Post-operative improvement in joint-specific outcomes was larger in obese patients compared to normal weight patients. These findings suggest that obese patients may have the greatest benefits from TKA with regard to function and pain relief one year post-op. Well balanced treatment decisions should fully account for both: Higher benefits in terms of pain relief and function as well as increased potential risks and complications. Trial registration This trial has been registered with the ethics committee of Eastern Switzerland (EKOS; Project-ID: EKOS 2020–00,879)

scholarly journals Body mass index and clinical outcomes in patients with intracerebral haemorrhage: results from the China Stroke Center Alliance

2021 ◽  
pp. svn-2020-000534
Author(s):  
Zhentang Cao ◽  
Xinmin Liu ◽  
Zixiao Li ◽  
Hongqiu Gu ◽  
Yingyu Jiang ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Hospital Mortality ◽  
Body Mass ◽  
Intracerebral Haemorrhage ◽  
Final Analysis ◽  
Normal Weight ◽  
Discharge Disposition ◽  
Increased Risk ◽  
Significant Difference ◽  
Stroke Center

Background and aimObesity paradox has aroused increasing concern in recent years. However, impact of obesity on outcomes in intracerebral haemorrhage (ICH) remains unclear. This study aimed to evaluate association of body mass index (BMI) with in-hospital mortality, complications and discharge disposition in ICH.MethodsData were from 85 705 ICH enrolled in the China Stroke Center Alliance study. Patients were divided into four groups: underweight, normal weight, overweight and obese according to Asian-Pacific criteria. The primary outcome was in-hospital mortality. The secondary outcomes included non-routine discharge disposition and in-hospital complications. Discharge to graded II or III hospital, community hospital or rehabilitation facilities was considered non-routine disposition. Multivariable logistic regression analysed association of BMI with outcomes.Results82 789 patients with ICH were included in the final analysis. Underweight (OR=2.057, 95% CI 1.193 to 3.550) patients had higher odds of in-hospital mortality than those with normal weight after adjusting for covariates, but no significant difference was observed for patients who were overweight or obese. No significant association was found between BMI and non-disposition. Underweight was associated with increased odds of several complications, including pneumonia (OR 1.343, 95% CI 1.138 to 1.584), poor swallow function (OR 1.351, 95% CI 1.122 to 1.628) and urinary tract infection (OR 1.532, 95% CI 1.064 to 2.204). Moreover, obese patients had higher odds of haematoma expansion (OR 1.326, 95% CI 1.168 to 1.504), deep vein thrombosis (OR 1.506, 95% CI 1.165 to 1.947) and gastrointestinal bleeding (OR 1.257, 95% CI 1.027 to 1.539).ConclusionsIn patients with ICH, being underweight was associated with increased in-hospital mortality. Being underweight and obese can both increased risk of in-hospital complications compared with having normal weight.

Anaesthetic Management of a Super Morbid Obese Patient

2021 ◽  
Vol 8 (32) ◽  
pp. 3039-3042
Author(s):  
Lekshmi Raj Jalaja ◽  
Stuti Lohia ◽  
Priyadarsini Bentur ◽  
Ravi Ramgiri
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Recovery Period ◽  
Well Being ◽  
Anaesthetic Management ◽  
The Body ◽  
World Health ◽  
Morbidly Obese ◽  
Multisystem Disorder ◽  
Increased Risk

‘Obesity’ is defined as a condition with excess body fat to the extent that health and well-being are adversely affected and uses a class system based on the body mass index (BMI), by the world health organization (WHO). Anaesthetic management of morbidly obese is challenging, as there is an increased risk of perioperative respiratory insufficiency and supplemental oxygen must be given throughout recovery period. The incidence of morbid obesity continues to grow and anaesthesiologists are exposed to obese patients presenting for various procedures. The prevalence of obesity is on the upward trend worldwide. Obesity is a multisystem disorder, involving the respiratory and cardiovascular systems, and therefore, undergoing a surgical procedure under anaesthesia may entail a considerable risk. Thus, a multidisciplinary approach is required in treating such patients. Quantification of the extent of obesity is done using the body mass index. BMI is defined as the relationship between weight and height (weight [kg] / height2 [m2 ]).

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