scholarly journals A Study of Correlation Between Body Mass Index and Mean Forced Expiratory Volume in First One Second (FEV1)

2021 ◽  
pp. 755-757
Author(s):  
Dr. Ajay Kumar Mishra ◽  
Dr. Prabhat Kumar Budholia
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Population Level ◽  
Sleep Apnoea ◽  
Forced Expiratory Volume ◽  
Overweight And Obesity ◽  
Medical College ◽  
Obstructive Sleep ◽  
Mechanical Factors ◽  
Hypoventilation Syndrome

Adverse effects of obesity are well known on respiratory functions. These effects can be due to change in respiratory mechanics, decrease in respiratory muscle effectiveness, decrease in pulmonary gas exchange and restriction in pulmonary functions. Obesity may cause decrease in respiratory compliance due to mechanical factors such as increased weight on thoracic cage and abdomen due to presence of adipose tissues. Severe obesity may be a cause of pulmonary thromboembolism, obstructive sleep apnoea, obesity, hypoventilation syndrome and respiratory failure which are associated with substantial morbidity and increased mortality. Body Mass index (BMI) provides the most useful population level measure of overweight and obesity as it is same for both the genders and for all ages of individuals. Though, it should be considered as a vague guide because it may not correspond to the same degree of corpulence in the individuals of different age group. The present study was undertaken in department of Physiology in Netaji Subhash Chandra Bose Medical College, Jabalpur MP. The subjects comprised of both male and female 50 individuals came to Physiology department for Pulmonary function test from other departments of the college. Tools used in present study were chi sqaure, t-test etc.

scholarly journals Effect of ventilation therapy on mortality rate among obesity hypoventilation syndrome and obstructive sleep apnoea patients

2020 ◽  
Vol 6 (2) ◽  
pp. 00101-2019 ◽  
Author(s):  
Hanna-Riikka Kreivi ◽  
Tuomas Itäluoma ◽  
Adel Bachour
Keyword(s):  
Body Mass Index ◽  
Mortality Rate ◽  
Body Mass ◽  
Obstructive Sleep Apnoea ◽  
Sleep Apnoea ◽  
Control Group ◽  
Obesity Hypoventilation Syndrome ◽  
Obstructive Sleep ◽  
Hypoventilation Syndrome ◽  
Obesity Hypoventilation

IntroductionThe prevalence of obesity is continually increasing worldwide, which increases the incidence of obesity hypoventilation syndrome (OHS) and its consequent mortality.MethodsWe reviewed the therapy mode, comorbidity and mortality of all OHS patients treated at our hospital between 2005 and 2016. The control group consisted of randomly selected patients with obstructive sleep apnoea (OSA) treated during the same period.ResultsWe studied 206 OHS patients and 236 OSA patients. The OHS patients were older (56.3 versus 52.3 years, p<0.001) and heavier (body mass index 46.1 versus 32.2 kg·m−2, p<0.001), and the percentage of women was higher (41.2% versus 24.2%, p<0.001), respectively. The OHS patients had more hypertension (83% versus 61%, p<0.001) and diabetes (62% versus 31%, p<0.001) than the OSA patients, but no higher stroke (4% versus 8%, p=0.058) or ischaemic heart disease (14% versus 15%, p=0.437) incidence. The 5- and 10-year, unadjusted survival rates were lower among the OHS patients than among the OSA patients (83% versus 96% and 74% versus 91%, respectively; p<0.001). Differences in mortality rates were not related to age, sex or body mass index; covariates such as Charlson Comorbidity Index and ventilation therapy predicted survival. The mortality rate decreased significantly (p<0.001) both in OHS and OSA patients even after adjusting for covariates.ConclusionsThe mortality rate in OHS was significantly higher than that in OSA patients even after adjusting for covariates. Ventilation therapy by continuous positive airway pressure or noninvasive ventilation have reduced mortality significantly in all patients.

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 Association between body mass index (BMI) and hypertension in south Asian population: evidence from nationally-representative surveys

2019 ◽  
Vol 25 (1) ◽  
Author(s):  
Fariha Binte Hossain ◽  
Gourab Adhikary ◽  
Ariful Bari Chowdhury ◽  
Md Shajedur Rahman Shawon
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
South Asian ◽  
Asian Population ◽  
Wealth Index ◽  
Population Level ◽  
Overweight And Obesity ◽  
National Committee ◽  
South Asian Population ◽  
Asian Populations

Abstract Background Although there has been a well-established association between overweight-obesity and hypertension, whether such associations are heterogeneous for South Asian populations, or for different socioeconomic groups is not well-known. We explored the associations of overweight and obesity using South Asian cut-offs with hypertension, and also examined the relationships between body mass index (BMI) and hypertension in various socioeconomic subgroups. Methods We analysed the recent Demographic and Health Survey (DHS) data from Bangladesh, India, and Nepal, with a total of 821,040 men and women. Hypertension was defined by 2017 ACC/AHA cut-offs and by Joint National Committee 7 (JNC7) cut-offs for measured blood pressure and overweight and obesity were defined by measured height and weight. We used multiple logistic regressions to estimate the odds ratios (ORs) with 95% confidence intervals (CIs) of hypertension for overweight and obesity as well as for each 5-unit increase in BMI. Results The prevalence of hypertension using JNC7 cut-offs among participants increased by age in all three countries. The prevalence ranged from 17.4% in 35–44 years to 34.9% in ≥55 years in Bangladesh, from 4.6% in 18–24 years to 28.6% in 45–54 years in India, and from 3.8% in 18–24 years to 39.2% in ≥55 years in Nepal. Men were more likely to be hypertensive than women in India and Nepal, but not in Bangladesh. Overweight and obesity using both WHO and South Asian cut-offs were associated with higher odds of hypertension in all countries. For each 5 kg/m2 increase in BMI, the ORs for hypertension were 1.79 (95% CI: 1.65–1.93), 1.59 (95% CI: 1.58–1.61), and 2.03 (95% CI: 1.90–2.16) in Bangladesh, India, and Nepal, respectively. The associations between BMI and hypertension were consistent across various subgroups defined by sex, age, urbanicity, educational attainment and household’s wealth index. Conclusions Our study shows that the association of BMI with hypertension is stronger for South Asian populations at even lower cut-offs points for overweight and obesity. Therefore, public health measures to reduce population-level reduction in BMI in all population groups would also help in lowering the burden of hypertension.

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 Sleep apnoea among Australian Aboriginal and non-Aboriginal patients in the Northern Territory of Australia—a comparative study

SLEEP ◽  
2019 ◽  
Vol 43 (3) ◽  
Author(s):  
Subash S Heraganahally ◽  
Anuk Kruavit ◽  
Victor M Oguoma ◽  
Chandran Gokula ◽  
Sumit Mehra ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Heart Disease ◽  
Eye Movement ◽  
Body Mass ◽  
Sleep Apnoea ◽  
Study Cohort ◽  
Rapid Eye Movement ◽  
Australian Aboriginal ◽  
Obstructive Sleep ◽  
Significant Difference

Abstract Australian Aboriginal and Torres Straight Islanders (ATSI) are noted to have a higher burden of chronic health conditions. However, there is a paucity of data on obstructive sleep apnoea (OSA) in this population. In this retrospective study, we evaluated the clinical and polysomnographic (PSG) characteristics of ATSI and non-ATSI adult patients who underwent diagnostic PSG between 2011 and 2015. There were a total of 3078 patients. Of the total, 403 (13%) were of ATSI origin. Among those of ATSI origin, 61% were male and 39% females, while among the non-ATSI cohort, 66% were males. The median age was 47.8 years in ATSI and 51.5 years in the non-ATSI cohort. In the combined cohort, body mass index was more than 30 kg/m2 (61%), hypertension (14.4%), diabetes (17.8%), and heart disease (23.3%). The ATSI patients had higher rates of class III obesity (27 vs. 15%), hypertension (26 vs. 14%), cardiac disease (34 vs. 23%), and diabetes (37 vs. 17%). Among all the study participants, the PSG confirmed 83.7% of the patients had an apnoea–hypopnea index (AHI) more than 5/h, mild (AHI 5–15/h) in 28.4%, moderate (AHI 15–30/h) in 22.3%, and severe (AHI &gt; 30/h) in 33.0%. Among the ATSI patients, 46% had severe OSA. The median total AHI value was higher in the ATSI population (25, interquartile range [IQR]: 11–58) compared to the non-ATSI (17, IQR: 7–36), and in rural/remote population (19, IQR: 8–42) compared to urban (17, IQR: 7–37). This trend was similar for NREM (non-rapid eye movement)-AHI and REM (rapid eye movement)-AHI scores, although statistically significant difference was found only with ATSI status. In the combined cohort the probability of (OR = 1.62, 95% CI: 1.32–2.00, p &lt; 0.001) of severe OSA was 62% higher in individual with hypertension, however, when stratified by ATSI status, the association was only significant in the non-ATSI population (OR = 1.53 95% CI: 1.21–1.94, p &lt; 0.001). The odds of severe AHI was also significantly associated with heart disease (1.37; 95% CI: 1.14,1.63, p &lt; 0.001), diabetes (1.74; 95% CI: 1.43,2.10; p &lt; 0.001) and smoking (1.28; 95% CI: 1.09,1.50, p = 0.0023) in the overall study cohort. In both ATSI and non-ATSI patients, body mass index, neck circumference, sleep efficiency, wake after sleep onset, and respiratory arousal index were significantly higher and independently associated with severe AHI.

scholarly journals Pattern of Body Mass Index in Students of a Private Medical College of Bangladesh

2018 ◽  
Vol 27 (2) ◽  
pp. 1-5
Author(s):  
Md Nure Alom Siddiqui ◽  
Muhammad Afsar Siddiqui ◽  
Shahnaj Sultana ◽  
Tamanna Sharif ◽  
ARM Saifuddin Ekram
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Overweight And Obesity ◽  
Female Students ◽  
The Other ◽  
Male Students ◽  
Cross Sectional ◽  
Medical College ◽  
Adolescent Students ◽  
Obese Class

Objectives: To determine the BMI status of the students of Rajshahi Islami Bank Medical College and to calculate frequency of different BMI categoriesMethodology: A cross-sectional questionnaire based study was carried out in medical students of Rajshahi Islami Bank Medical College, Rajshahi. Body weight and height were measured and body mass index (BMI) values were calculated by dividing weight with (height) 2. Overweight and obesity were defined using WHO international standard BMI cut-offs.Results: The overall prevalence of underweight students was 29.9% out of which 9.6% fell under the category of severely underweight (BMI of <16.5). In overweight category there were 8%. The frequency of students falling in Obese Class I, II & III was 2.7%, 0.6% & 0.0% respectively. It was found that more female students compared to male students were underweight. In the overweight and obese categories there was a preponderance of male students. A positive correlation was found between perception of obesity amongst parents and overweight obese students.Conclusion: According to this study, underweight, especially in girls, should be considered a serious health problem among adolescent students which needs to be addressed. Obesity on the other hand does not seem to be a major issue amongst them.TAJ 2014; 27(2): 1-5

scholarly journals Outcomes of Weight Loss, Diabetes, Hypertension and Obstructive Sleep Apnoea after Bariatric Surgery in Patients with Super Morbid Obesity

2020 ◽  
pp. 1-4
Author(s):  
Abdulmenem Abualsel ◽  
Abdulmenem Abualsel ◽  
Ashish Mhatre ◽  
Nalin Mathur ◽  
Susan Dovey
Keyword(s):  
Bariatric Surgery ◽  
Body Mass Index ◽  
Morbid Obesity ◽  
Weight Loss ◽  
Sleeve Gastrectomy ◽  
Body Mass ◽  
Obstructive Sleep Apnoea ◽  
Sleep Apnoea ◽  
Super Morbid Obesity ◽  
Obstructive Sleep

Introduction: There is currently a high prevalence of obesity in the Arabian Gulf yet relatively little research on bariatric surgery. In this study we investigate the efficacy of bariatric surgery in patients with super morbid obesity, defined as a Body Mass Index (BMI) of ≥ 50 kg/m2 . Methods: All records of bariatric surgery at a single centre were examined. Outcomes measured include Body Mass Index (BMI), percentage Excess Weight Loss (%EWL), Obstructive Sleep Apnoea (OSA), Hypertension (HTN) and Type 2 Diabetes Mellitus (T2DM). Statistical relationships between %EWL against age, type of surgery and gender were analysed. Results: 144 patients were found to meet the inclusion criteria. Mean pre-operative BMI was 56.9 ± 6.1 kg/m2 . 90 (62.5%) patients underwent sleeve gastrectomy, 24 (16.7%) had one anastomosis gastric bypass, 16 (11.1%) had biliopancreatic diversion (Scopinaro’s procedure), and 14 (9.7%) had sleeve gastrectomy with transit loop bipartition. 12 months post-operatively, mean BMI was 37.7 ± 7.5 kg/m2 , with a mean %EWL of 62.9% ± 17.9%. There was 100% OSA resolution, 95.3% HTN resolution, and 79.4% T2DM resolution. %EWL was found to decrease slightly with increased age, however no difference in %EWL was found between types of surgery or genders. Conclusion: Bariatric surgery is effective and may be justified in patients with super morbid obesity, including the elderly population. However, there is a great need for larger, longitudinal studies. This would be made possible by hospitals employing more regular and systematic reporting of data, and encouragement of patients to follow up.

Association of epicardial fat thickness with clinical and polysomnographic parameters in non-obese obstructive sleep apnoea patients

2018 ◽  
Vol 132 (5) ◽  
pp. 439-445 ◽  
Author(s):  
S Derin ◽  
I Altun ◽  
S Koseoglu ◽  
C Sahin ◽  
M Yilmaz ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Obstructive Sleep Apnoea ◽  
Sleep Apnoea ◽  
Oxygen Desaturation ◽  
Epicardial Fat ◽  
Epicardial Fat Thickness ◽  
Oxygen Desaturation Index ◽  
Obstructive Sleep ◽  
Fat Thickness

AbstractObjectives:This study aimed to investigate the relationship of epicardial fat thickness with severity of obstructive sleep apnoea, and clinical and polysomnographic parameters, and to determine independent predictors for epicardial fat thickness.Methods:A total of 84 patients with a body mass index of less than 30 kg/m2 and suspected sleep-disordered breathing were included in the study. The correlations of epicardial fat thickness with polysomnographic and clinical data, and severity of obstructive sleep apnoea, were investigated.Results:Mean epicardial fat thickness was 3.75 ± 1.07 mm in the study group (n = 62) and 2.97 ± 0.62 mm in the control group (n = 22) (p < 0.001). There were significant positive correlations between epicardial fat thickness and: apnoea/hypopnoea index, oxygen desaturation index 3 and minimum oxygen saturation, as well as with age, body mass index, and neck and waist circumferences.Conclusion:Non-obese obstructive sleep apnoea patients have thicker epicardial fat compared to controls. Oxygen desaturation index 3 has a strong correlation with epicardial fat thickness and is an independent predictor of it.

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