Chronic airflow limitation in a rural Indian population: etiology and relationship to body mass index

Chakrabarti, Biswajit; Purkait, Sabita; Gun, P.; Moore, Vicky; Choudhuri, Samadrita; Zaman, Michele; Warburton, Chris; Calverley, Peter; Mukherjee, Rahul

doi:10.2147/copd.s24113

Cited by 13 publications

(9 citation statements)

References 25 publications

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“…At the same time, they presented a positive correlation of (pseudo) Tiffenau index and BMI as a quantitative trait [13]. Chakrabarti et.al., who also looked at underweight patients in their research confirmed the presence of the lowest values of spirometric parameters (PEFR with p=0.02) precisely in this group [14], which refers not only to our findings of quantitative BMI values vs. PEFR, but also remains consistent with our findings concerning the relation between PEFR and BMI tested as a qualitative trait. Hence, the lack of statistical significance between PEFR and BMI as a qualitative trait reflects previous findings by other authors.…”

Section: Discussionsupporting

confidence: 92%

Variations of Peak Expiratory Flow Rate Associated with Various Factors Among Healthy Adults in a City Setting

Składanowski

Jarosz

Maćkiewicz

2016

Polish Journal of Public Health

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Introduction. Peak Expiratory Flow Rate (PEFR) was first described by Hadorn as a measure of the lung function. The definition of PEFR established by the European Respiratory Society defines it as the maximal flow achieved during the phase of expiration, delivered with maximal force and starting from the maximal lung inflation level.Aim. The authors of this study attempted at evaluating the variations of PEFR, taking into consideration the effects of one's age, height Body Mass Index (BMI), Body Surface Area (BSA), seasons of the year and air pollution. Healthy adults living in urban areas were subjects of the study.Material and methods. The study group consisted of some 179 healthy subjects, 102 women and 77 men, aged 18 to 66. Every patient's medical history, including epidemiological, demographic data, as well as the information about the occurrence and symptoms of lung diseases, was taken from every patient. Only healthy subjects were selected for further analysis. Participants performed spirometry testing. Physical parameters were measured. Appropriate pollution data was obtained.Results. The study group consisted of 179 patients (102 women and 77 men). There is a negative correlation between PEFR and age and a positive one between PEFR and height, as well as Body Surface Area and BMI (regarded as a quantitative, but not as a qualitative trait). There is a significant correlation between PEFR and PEFR adjusted by age, height and weight with seasons of the year. There is a statistically significant negative impact of NO 2 , SO 2 and O 3 24 h mean and hourly NO 2 concentration on PEFR.Conclusions. Peak Expiratory Flow Rate changes are also present in a healthy adult population. Prevalence of obesity is an important factor of the examined population.

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Section: Discussionsupporting

confidence: 92%

Variations of Peak Expiratory Flow Rate Associated with Various Factors Among Healthy Adults in a City Setting

Składanowski

Jarosz

Maćkiewicz

2016

Polish Journal of Public Health

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“…Of these factors, low BMI has attracted general attention. Indeed, COPD can be associated with a progressive loss of skeletal muscle mass and according to several studies, low BMI is an independent predictor of the risk of death [ 45 – 46 ]. Our data showed increased odds of COPD in nonsmokers with low BMI (<20 kg/m 2 ).…”

Section: Discussionmentioning

confidence: 99%

COPD in Nonsmokers: Reports from the Tunisian Population-Based Burden of Obstructive Lung Disease Study

et al. 2016

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BackgroundIt’s currently well known that smoking and increasing age constitute the most important risk factors for chronic obstructive pulmonary disease (COPD). However, little is known about COPD among nonsmokers. The present study aimed to investigate prevalence, risk factors and the profiles of COPD among nonsmokers based on the Tunisian Burden of Obstructive Lung Disease (BOLD) study.Methods807 adults aged 40 years+ were randomly selected from the general population. We collected information about history of respiratory disease, risk factors for COPD and quality of life. Post-bronchodilator spirometry was performed for assessment of COPD. COPD diagnostic was based on the post-bronchodilator FEV1/FVC ratio, according to the Global Initiative for Obstructive Lung Disease (GOLD) guidelines. The lower limit of normal (LLN) was determined as an alternative threshold for the FEV1/FVC ratio.Results and ConclusionsAmong 485 nonsmokers, 4.7% met the criteria for GOLD grade I and higher COPD. These proportions were similar even when the LLN was used as a threshold. None of the nonsmokers with COPD reported a previous doctor diagnosis of COPD compared to 7.1% of smokers. Nonsmokers accounted for 45.1% of the subjects fulfilling the GOLD spirometric criteria of COPD. Nonsmokers were predominately men and reported more asthma problems than obstructed smokers. Among nonsmokers significantly more symptoms and higher co-morbidity were found among those with COPD. Increasing age, male gender, occupational exposure, lower body mass index and a previous diagnosis of asthma are associated with increased risk for COPD in nonsmokers. This study confirms previous evidence that nonsmokers comprise a substantial proportion of individuals with COPD. Nonsmokers with COPD have a specific profile and should, thus, receive far greater attention to prevent and treat chronic airway obstruction.

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“…In one study of patients with COPD, BMI was positively associated with FEV 1 /FVC and the predicted percentage of FEV 1 ( 17 ). In another study, the incidence of airflow obstruction (defined as an FEV 1 /FVC of <70%) in patients with COPD was significantly higher in those with a BMI of <18.5 kg/m 2 than in those with a BMI of ≥18.5 kg/m 2 ( 18 ). Several recent studies have documented a clear association between a low BMI and poor pulmonary function in patients with bronchiectasis.…”

Section: Discussionmentioning

confidence: 99%

Association of body mass index with disease severity and prognosis in patients with non-cystic fibrosis bronchiectasis

et al. 2015

Braz J Med Biol Res

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The objective of this observational, multicenter study was to evaluate the association of body mass index (BMI) with disease severity and prognosis in patients with non-cystic fibrosis bronchiectasis. A total of 339 patients (197 females, 142 males) diagnosed with non-cystic fibrosis bronchiectasis by high-resolution computed tomography were classified into four groups: underweight (BMI<18.5 kg/m2), normal weight (18.5≤BMI<25.0 kg/m2), overweight (25.0≤BMI<30.0 kg/m2), and obese (BMI≥30.0 kg/m2). Clinical variables expressing disease severity were recorded, and acute exacerbations, hospitalizations, and survival rates were estimated during the follow-up period. The mean BMI was 21.90 kg/m2. The underweight group comprised 28.61% of all patients. BMI was negatively correlated with acute exacerbations, C-reactive protein, erythrocyte sedimentation rate, radiographic extent of bronchiectasis, and chronic colonization by P. aeruginosa and positively correlated with pulmonary function indices. BMI was a significant predictor of hospitalization risk independent of relevant covariates. The 1-, 2-, 3-, and 4-year cumulative survival rates were 94%, 86%, 81%, and 73%, respectively. Survival rates decreased with decreasing BMI (χ2=35.16, P<0.001). The arterial carbon dioxide partial pressure, inspiratory capacity, age, BMI, and predicted percentage of forced expiratory volume in 1 s independently predicted survival in the Cox proportional hazard model. In conclusion, an underweight status was highly prevalent among patients with non-cystic fibrosis bronchiectasis. Patients with a lower BMI were prone to developing more acute exacerbations, worse pulmonary function, amplified systemic inflammation, and chronic colonization by P. aeruginosa. BMI was a major determinant of hospitalization and death risks. BMI should be considered in the routine assessment of patients with non-cystic fibrosis bronchiectasis.

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Chronic airflow limitation in a rural Indian population: etiology and relationship to body mass index

Cited by 13 publications

References 25 publications

Variations of Peak Expiratory Flow Rate Associated with Various Factors Among Healthy Adults in a City Setting

Variations of Peak Expiratory Flow Rate Associated with Various Factors Among Healthy Adults in a City Setting

COPD in Nonsmokers: Reports from the Tunisian Population-Based Burden of Obstructive Lung Disease Study

Association of body mass index with disease severity and prognosis in patients with non-cystic fibrosis bronchiectasis

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