scholarly journals Waist-To-Hip Ratio Predicts Abnormal Overnight Oximetry in Men Independent of Body Mass Index

2021 ◽  
Vol 8 ◽  
Author(s):  
Joshua M. Bock ◽  
Kirk J. Rodysill ◽  
Andrew D. Calvin ◽  
Soumya Vungarala ◽  
Karine R. Sahakyan ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Strong Association ◽  
Cost Effective ◽  
Middle Aged ◽  
Cross Sectional ◽  
Waist To Hip Ratio ◽  
Obstructive Sleep ◽  
Overnight Oximetry ◽  
Abnormal Results

Background: Ambulatory overnight oximetry (OXI) has emerged as a cost-effective initial test for sleep disordered breathing. Obesity is closely associated with obstructive sleep apnea (OSA); however, whether body mass index (BMI) or waist-to-hip ratio (WHR) predicts abnormal overnight OXI remains unknown.Methods: We performed a retrospective cross-sectional study of 393 men seen in the Executive Health Program at Mayo Clinic in Rochester, Minnesota who underwent ambulatory overnight OXI ordered by preventive medicine physicians between January 1, 2004 through December 31, 2010. We compared participant/spouse-reported symptoms (sleepiness, snoring), physician indications for OXI (obesity, fatigue), Epworth Sleepiness Scale scores, anthropomorphic measurements (WHR, BMI), and comorbid medical conditions (hypertension, diabetes) with OXI results.Results: 295 of the 393 men who completed OXI had abnormal results. During multivariate analysis, the strongest independent predictor of abnormal OXI for men was WHR (≥1.0, OR = 5.59) followed by BMI (≥30.0 kg/m2, OR = 2.75), age (≥55 yrs, OR = 2.06), and the presence of snoring (OR = 1.91, P < 0.05 for all). A strong association was observed between WHR and abnormal OXI in obese (BMI ≥ 30.0 kg/m2, OR = 6.28) and non-obese (BMI < 29.9 kg/m2, OR = 6.42, P < 0.01 for both) men. Furthermore, 88 men with abnormal OXI underwent polysomnography with 91% being subsequently diagnosed with OSA.Conclusions: In ambulatory, predominantly middle-aged men undergoing preventive services evaluation many physician indications for OXI were not predictors of abnormal results; however, WHR strongly predicted abnormal OXI in obese and non-obese men. As such, we suggest middle-aged men who snore and have a WHR ≥1.0 should be directly referred to a sleep clinic for polysomnography.

scholarly journals BASAN index (Body mass index, Age, Sex, Arterial hypertension and Neck circumference) predicts severe apnoea in adults living at high altitude

BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e044228
Author(s):  
Henry Oliveros ◽  
Rafael Lobelo ◽  
Luis Fernando Giraldo-Cadavid ◽  
Alirio Bastidas ◽  
Constanza Ballesteros ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Arterial Hypertension ◽  
High Altitude ◽  
Body Mass ◽  
Sleep Apnoea ◽  
Neck Circumference ◽  
Binary Logistic Regression Model ◽  
Cross Sectional ◽  
Derivation Cohort ◽  
Obstructive Sleep

ObjectivesObstructive sleep apnoea (OSA)/hypopnoea syndrome is associated with serious and major multiorgan morbidities, particularly in its most severe forms. However, no severe OSA screening instruments are available for high altitude residents that enable adequate identification and clinical prioritisation of such patients. We aimed at developing a severe OSA prediction tool based on the clinical characteristics and anthropometric measurements of a clinical referral cohort living at 2640 m.a.s.l.DesignCohort-nested cross-sectional study.SettingSleep laboratory for standard polysomnography (PSG) in Colombia.ParticipantsA predictive model was generated from 8718 participants referred to the PSG laboratory. Results were subsequently validated in a second cohort of 1898 participants.Primary outcomeTo identify clinical and anthropometric variables associated with severe OSA (>30 events/hour) and to include them in a binary logistic regression model.ResultsThe significant variables that were retained with the presence of severe OSA included Body mass index (BMI), Age, Sex, Arterial hypertension and Neck circumference (BASAN). The area under the receiver operating characteristic curvefor the BASAN index was 0.69 (95% CI: 0.68 to 0.70) in the derivation cohort and 0.67 (95% CI: 0.65 to 0.69) in the validation cohort, whereby a BASAN index ≥2 had a sensitivity of 95% and a specificity of 17% to detect severe OSA.ConclusionAn objectively based approach to screen for the presence of severe OSA, the BASAN index, exhibits favourable sensitivity characteristics that should enable its operational use as a screening tool in a Hispanic population with a clinical suspicion of OSA and living at high altitude.

scholarly journals Associations of Body Mass Index, Visceral Fat Area, Waist Circumference, and Waist-To-Hip Ratio with Cognitive Function in Western China: Results from A WCHAT Study

2021 ◽  
Author(s):  
Xiaolei Liu ◽  
Xiaoyan Chen ◽  
Lisha Hou ◽  
Xin Xia ◽  
Fengjuan Hu ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Waist Circumference ◽  
Cognitive Performance ◽  
Body Mass ◽  
Visceral Fat ◽  
Cognitive Abilities ◽  
Strong Association ◽  
Western China ◽  
Visceral Fat Area ◽  
Waist To Hip Ratio

Abstract ObjectivesThis study examined the relationship between cognitive performance and obesity parameters, such as body mass index (BMI), visceral fat area (VFA), waist circumference (WC), and waist-to-hip ratio (WHR) in western China.Study designA cross-sectional studyMethods3914 participants, aged >50 years, were recruited in this study. Anthropometrics measurements, life-style factors, chronic disease comorbidities, and sleep qualities were recorded for each participant. Among the anthropometrics, BMP, WC, and WHR were assessed using standard procedures, while VHA was calculated using bioelectrical impedance analysis. Cognitive performance was estimated using the Short Portable Mental Status Questionnaire (SPMSQ). Finally, relationships between cognitive abilities and BMI, VFA, WC, and WHR were evaluated using univariate and multivariate regression analyses. ResultsCognitive decline (CD) occurred at a rate of 13.29% among the 3914 participants. A strong correlation was observed between cognitive abilities and BMI of male patients aged 50-59 yrs (OR 1.116,95% CI1.002-1.242), in the adjusted model. Alternately, WHR was shown to be significantly related to CD in females aged >70 years (OR 0.041, 95% CI0.002-0.671). WC was shown to have a strong association with CD in males (OR 1.023,95% CI1.003-1.024). Lastly, WHR was closely connected to CD in participants with BMI < 25 kg/m2 (OR 0.022,95% CI0.002-0.209).Conclusions Our findings suggest that a higher middle age BMI is associated with CD, whereas, in the elderly population, a higher WHR is related to improved cognitive performance. Further investigation is warranted to elucidate a relationship between VFA and CD.

scholarly journals Sex Differences in the Influence of Sleep on Body Mass Index and Risk of Metabolic Syndrome in Middle-Aged Adults

Healthcare ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 561
Author(s):  
Hyun-E Yeom ◽  
Jungmin Lee
Keyword(s):  
Metabolic Syndrome ◽  
Body Mass Index ◽  
Body Mass ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Middle Aged ◽  
Cross Sectional ◽  
Aged People ◽  
Middle Aged Adults ◽  
The Impact

Poor sleep and obesity are intimately related to cardiovascular diseases. We aimed to examine whether the influence of sleep and body mass index (BMI) on the risk of metabolic syndrome (MetS) differed by sex in middle-aged people. It is a cross-sectional study of 458 Korean participants who completed self-administered surveys; the data were analyzed using the PROCESS macro for SPSS. We found that both sleep and BMI were significant predictors of MetS risk in women, particularly by the role of BMI connecting the impact of sleep to MetS risk. However, the association was not found in men, showing that BMI, but not sleep, was a significant predictor of MetS. This sex-related difference was due to different relationships between sleep and BMI, indicating that BMI was more dependent on sleep quality for women than for men. Therefore, a sex-specific approach to decrease the risk of MetS is warranted.

scholarly journals Alcohol intake in relation to body mass index and waist-to-hip ratio: the importance of type of alcoholic beverage

2005 ◽  
Vol 8 (3) ◽  
pp. 315-320 ◽  
Author(s):  
Esther Lukasiewicz ◽  
Louise I Mennen ◽  
Sandrine Bertrais ◽  
Nathalie Arnault ◽  
Paul Preziosi ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Alcohol Consumption ◽  
Body Mass ◽  
Alcoholic Beverage ◽  
Alcoholic Beverages ◽  
Cross Sectional ◽  
Men And Women ◽  
Waist To Hip Ratio ◽  
Dietary Records ◽  
Total Alcohol

AbstractObjectiveAlcohol consumption may play a role in the development of obesity but the relationship between alcohol and weight is still unclear. The aim of our study was to assess the cross-sectional association of intakes of total alcohol and of specific alcoholic beverages (wine, beer and spirits) with waist-to-hip ratio (WHR) and body mass index (BMI) in a large sample of adults from all over France.DesignCross-sectional.SettingParticipants were free-living healthy volunteers of the SU.VI.MAX study (an intervention study on the effects of antioxidant supplementation on chronic diseases).SubjectsFor 1481 women aged 35–60 years and 1210 men aged 45–60 years, intakes of total alcohol and specific alcoholic beverages were assessed by six 24-hour dietary records. BMI and WHR were measured during a clinical examination the year after.ResultsA J-shaped relationship was found between total alcohol consumption and WHR in both sexes and between total alcohol consumption and BMI in men only (P < 0.05). The same relationships were observed with wine (P < 0.05); men and women consuming less than 100 g day−1 had a lower BMI (men only) and WHR than non-drinkers or those consuming more. Spirits consumption was positively associated with BMI (linear regression coefficient β = 0.21, 95% confidence interval (CI): 0.09–0.34 and β = 0.22, 95% CI: 0.06–0.39 for men and women, respectively) and WHR (β = 0.003, 95% CI: 0.001–0.005 and β = 0.003, 95%CI: 0.0002–0.006) in both sexes in a linear fashion. No relationship between beer consumption and BMI or WHR was found.ConclusionIf confirmed in longitudinal studies, our results indicate that consumption of alcoholic beverages may be a risk factor for obesity.

scholarly journals Relation of BMI with Blood Glucose Level amongst Healthy Students of Ayub Medical College, Abbottabad

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Nadia Haleem ◽  
Sarwat Abbasi ◽  
Mohammad Idress ◽  
Zahid Irfan Marwat ◽  
Saadia Sadiq ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Blood Glucose ◽  
Blood Glucose Level ◽  
Body Mass ◽  
Glucose Level ◽  
Strong Association ◽  
Cross Sectional ◽  
Random Blood Glucose ◽  
Medical College ◽  
Two Parameters

Background: Obesity is a global challenge all over the world. Body mass index is a good marker to measure the adiposity. Obesityis one of the important risk factors for type 2 diabetes mellitus. Normal random blood glucose levels are closely regulated in healthwith a normal range of 4.4-7.8mmol/l (79-140mg/dl), despite the varying demands of food, exercise and fasting. Many diabeticpatients are obese and studies suggest a strong association between the two.Objective: To find an association of BMI with blood glucose level in undergraduate healthy students of Ayub Medical CollegeMaterial and Methods: This cross-sectional study was carried out in 2018, capillary blood samples were collected from 152students of Ayub Medical College Abbottabad to evaluate blood glucose level by Accu chek softclix® lancing device and Accu chekglucometer®, BMI was calculated by the formula (weight in kg/ height in meters squared). Data was collected and analyzed bySPSS version 23.Results: Total 152 (100%) healthy participants with 84 (55.3%) males and 68 (44.7%) females included in this study. Their ageswere ranged from 18-25 with a mean age of 21.02 years (min 17 max 26) having a standard deviation of 1.75. By taking thecorrelation between two parameters i.e. body mass index and serum random blood glucose level by Pearson product of moment(p=.214, r=101) a non-significant result was found.Conclusion: It is concluded that there is no significant association found between two parameters (BMI and serum BGL) in healthyyoung adults.

scholarly journals Correlation of body mass index and pulmonary hypertension in patients with obstructive sleep apnoea

2021 ◽  
Vol 8 (2) ◽  
pp. 79-82
Author(s):  
Saurabh Mishra ◽  
G N Srivastava ◽  
J K Mishra ◽  
Ritamvara Oli
Keyword(s):  
Body Mass Index ◽  
Pulmonary Hypertension ◽  
Body Mass ◽  
Obstructive Sleep Apnoea ◽  
Severe Obesity ◽  
Strong Association ◽  
Sleep Apnoea ◽  
Cardiac Anomaly ◽  
2D Echocardiography ◽  
Obstructive Sleep

Obstructive sleep apnoea has very strong association with both body mass index and pulmonary hypertension. There is a paucity of data to relate BMI and PH in patients with OSA. To see the relation between body mass index and pulmonary hypertension in patients with obstructive sleep apnoea. Patients with symptoms of OSA were screened for polysomnography by using STOP-BANG criteria. 100 patients with AHI ≥5 with symptoms of obstructive sleep apnoea and AHI ≥ 15 without symptoms of obstructive sleep apnoea were selected for other investigations. Neck circumference was measured and BMI was calculated to estimate the severity of obstruction. PFT and chest X-ray were done to rule-out other respiratory illnesses. 2D-echocardiography was done for screening of pre-existing structural cardiac anomaly or any raise in pulmonary artery pressure. MRI neck was done to check neck muscles status. Out of 100 patients in study group 10% (n=10) had mild, 12% (n=12) had moderate and 78% (n=78) had severe OSA. Most of the patients belonged to overweight (52%) and obesity stage 1 (34%) groups. 10% and 2% of the patients belonged to obesity stage 2 and severe obesity groups respectively. Only 2% of the patients were healthy and none of the patients were underweight. PH was present in 24% (n=24) of cases, mild (n=10) and moderate (n=10) PH each were 10% and severe (n=4) PH was present in 4% of the cases. 100% of the patients with severe obesity had pulmonary hypertension. Most of the patients with PH belonged to Obesity grade 1 and overweight groups, whereas none of normal BMI patients had PH. Body mass index has indirect relation with pulmonary hypertension. In our study, we found that pulmonary hypertension was present only in overweight and obese patients. Whereas, none of the patients with normal BMI had pulmonary hypertension.

scholarly journals Quantification of the effect of body mass index on cricothyroid membrane depth: a cross-sectional analysis of clinical CT images

2021 ◽  
pp. emermed-2019-209046
Author(s):  
Sadia Ghaffar ◽  
Tom Nicholas Blankenstein ◽  
Dilip Patel ◽  
Catherine Theodosiou ◽  
David Griffith
Keyword(s):  
Body Mass Index ◽  
Retrospective Analysis ◽  
Body Mass ◽  
Clinical Sample ◽  
Strong Association ◽  
Patient Characteristics ◽  
Ct Scans ◽  
P Value ◽  
Cricothyroid Membrane ◽  
Cross Sectional

ObjectivesThe recommended front of neck access procedure in can’t intubate, can’t oxygenate scenarios relies on palpation of the cricothyroid membrane (CTM), or dissection of the neck down to the larynx if CTM is impalpable. CTM palpation is particularly challenging in obese patients, most likely due to an increased distance between the skin and the CTM (CTM depth). The aims of this study were to measure the CTM depth in a representative clinical sample, and to quantify the relationship between body mass index (BMI) and CTM depth.MethodsThis is a retrospective analysis of 355 clinical CT scans performed at a teaching hospital over an 8-month period. CTM depth was measured by two radiologists, and mean CTM depth calculated. Age, gender, height and weight were recorded, and BMI calculated. Linear relationships between patient characteristics and CTM depth were assessed in order to derive a predictive equation for calculating CTM depth. The variables included for this model were those with a strong association with CTM depth, that is, a p value of 0.10 or less.ResultsMean CTM depth was 8.12 mm (IQR 6.36–11.70). There was no association between CTM depth and sex (β −0.33, 95% CI −1.33 to 0.68, p=0.53), height (cm) (β 0.01, 95% CI −0.05 to 0.06, p=0.79) or age (years) (β −0.01, 95% CI 0.10 to 0.15, p=0.62). Increasing weight (kg) (β 0.12, 95% CI 0.10 to 0.15, p<0.001) and BMI (kg/m3) (β 0.52, 95% CI 0.44 to 0.60, p<0.001) were strongly associated with CTM depth. Predicted CTM depth increased from 6.4 mm (95% CI 4.9 to 8.1) at a BMI of 20 kg/m2 to 16.8 (95% CI 13.7 to 20.1) at BMI 40 kg/m2.ConclusionCTM depth was strongly associated with BMI in a retrospective analysis of patients having clinical CT scans.

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