Influence of body mass index and age on the lung function of obese women

Sgariboldi, Dayla; Faria, Fernanda Aparecida; Carbinatto, Jéssica Cristina; Pazzianotto-Forti, Eli Maria

doi:10.1590/1809-98232016019.150073

Cited by 5 publications

(7 citation statements)

References 26 publications

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“…Obesity causes deleterious effect on ventilatory mechanics, probably due to lung compression which causes a reduction in ERV, leading to a compensatory increase in IRV in attempt to maintain a constant VC. In line with our results an earlier study also reported a positive association between obesity and IRV 19…”

Section: Discussionsupporting

confidence: 94%

Effect of Body Mass Index on respiratory parameters: A cross-sectional analytical Study

2019

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Objective:To assess association of Body mass index (BMI) on respiratory parameters by performing spirometry in apparently healthy adults living in the district Jamshoro and Hyderabad, Sindh, Pakistan.Methods:A cross sectional study was conducted at Department of Physiology, Liaquat University of Medical and Health Sciences Jamshoro, Pakistan from January to September 2015. A total of 180 underweight, normal, overweight and obese participants, aged between 18 to 40 years were included in the study. BMI was calculated by measuring weight and height by BMI scale (RGZ-160) in standing position. Pulmonary parameters were determined by spirometry on Power lab (AD instruments). Pulmonary parameters were compared between subjects in different categories of BMI.Results:Mean age of participants was 21.83±5.88 years and the mean BMI was 25.10±6.55 kg/m2. The study results revealed that except for FVC, which was not statistically significant (p=0.45) all other respiratory parameters were significantly different (p≤0.05) in all BMI categories. Mean FEV1/FVC ratio (93.1 vs. 90.3, 86.4 and 86.6 respectively) was highest among underweight as compared to overweight, obese and normal weight individuals. The mean VT was 1.22 vs. 0.90, 1.01 and 0.84 respectively, IRV was 1.04 vs. 1.18, 1.23 and 1.20 respectively, IC was 2.26 vs. 2.08, 2.25 and 2.05 respectively, VC was 2.63 vs. 2.42, 2.54 and 2.54 respectively, TLC was 2.98 vs. 3.03 vs. 3.18 and 3.17 respectively among underweight, overweight, obese and normal weight participants.Conclusion:We found a significant association between body mass index and pulmonary function parameters. Obesity causes detrimental effects on respiratory system.

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Section: Discussionsupporting

confidence: 94%

Effect of Body Mass Index on respiratory parameters: A cross-sectional analytical Study

2019

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“…Lazarus et al ( 1997 ) reported that body fat distribution had independent effects on pulmonary function parameters with age having a moderating effect on this pulmonary function variable. These results suggest that aging causes a genuine impact on lung function, leading to a decrease in lung function (Sgariboldi et al 2016 ). It has been postulated that as people age, there is progressive decline in lung function signified by obstructive changes, which can be explained by a decrease in elastic lung retractability, a reduction in chest wall compliance and a reduction in the strength of the respiratory muscles (Sgariboldi et al 2016 ).…”

Section: Discussionmentioning

confidence: 93%

“…These results suggest that aging causes a genuine impact on lung function, leading to a decrease in lung function (Sgariboldi et al 2016 ). It has been postulated that as people age, there is progressive decline in lung function signified by obstructive changes, which can be explained by a decrease in elastic lung retractability, a reduction in chest wall compliance and a reduction in the strength of the respiratory muscles (Sgariboldi et al 2016 ). Lazarus et al ( 1997 ) also reported that FEV1/FVC ratio is positively predicted by BMI when age is controlled.…”

Section: Discussionmentioning

confidence: 93%

Anthropometric determinants of lung function in apparently healthy individuals

Ogunlana

Oyewole

Lateef

et al. 2021

South African Journal of Physiotherapy

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Background Forced vital capacity (FVC) and peak expiratory flow rate (PEFR) are used to assess and monitor the management of lung pathology. Objectives Our study documented spirometry reference values for apparently healthy Nigerians and developed predictive equations for pulmonary function. Method A cross-sectional survey involving healthy adult Nigerians included anthropometric measurements of weight, height, waist, hip circumference (HC), sagittal abdominal diameter (SAD) and percentage body fat. Anthropometric indices (body mass index [BMI] and waist-to-hip ratio [WHR]) were estimated and pulmonary function tests (FVC, forced expiratory volume in 1 s [FEV1], PEFR, FEV1/FVC ratio) measured. The association amongst selected anthropometric and socio-demographic variables and pulmonary function test parameters were established using t -tests and Pearson’s product moment correlation tests. The predictors of pulmonary function were established using stepwise multiple linear regression models. Results Four hundred and forty-four adults (156 [35.1%] men) were included, mean age 37.3 ± 8.25 (range 22–25) years. Male participants had significantly higher lung volumes than females ( p < 0.05). Age, height, weight and percentage body fat had significant low correlations with lung function test parameters ( p < 0.05). Fat-free mass (FFM), fat mass (FM), SAD, height and age of participants were main predictors of FVC and FEV1 ( R 2 = 0.43 and 0.41, respectively). Fat-free mass and SAD were main predictors of PEFR ( R 2 = 0.53). Sagittal abdominal diameter and age were main predictors of FEV1/FVC ratio ( R 2 = 0.34). Conclusion Fat-free mass, FM, height, age and SAD are important determinants of lung volumes and key variables for predictive equations of pulmonary function. Clinical implications An accurate documentation of pulmonary function values for apparently healthy Nigerian adults may be useful in identifying deviations from normative values thereby giving an index of suspicion for the diagnosis of pulmonary dysfunction. Keywords anthropometric; lung function; spirometry; fat-free mass; apparently healthy.

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“…10, 11 However, the findings in this study is not consistent with the study done by Richard and Dayla Sgariboldi which shows significant positive correlation of BMI with the vital capacity. 12,13 In normal respiration, the diaphragm contracts, pushing the abdominal contents down and forward. At the same time, the contraction of the external intercostal muscles pulls the ribs upward and forward.…”

Section: Discussionmentioning

confidence: 99%

Relation of Waist Hip Ratio and BMI with the Vital Capacity

Karmacharya

Shrestha²,

Singh

et al. 2019

J Chitwan Med Coll

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Background: The body mass Index and waist hip ratio have shown to have linear relation with increase in vital capacity. The purpose of the study is to find the relation of both BMI and waist hip ratio with the vital capacity. Methods: In this prospective cross-sectional study, 240 students from Manipal College of medical sciences, Pokhara were enrolled. Respiratory function was assessed by student’s spirometer. The mean of three reading was noted as reading for vital capacity. Height, weight, waist and hip measurement was done. The data were used to derive BMI and the waist hip ratio. Data analysis was done with spss17. The Pearson’s correlation test was applied for correlating vital capacity with the anthropometric measures considered. Results: Out of 240 students 59% were male and 41% were female. There was no correlation between BMI and vital capacity and also between Waist-hip ratio and vital capacity. Conclusions: The study revealed that anthropometric and body compositions are not predictors of respiratory muscle strength.

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Influence of body mass index and age on the lung function of obese women

Cited by 5 publications

References 26 publications

Effect of Body Mass Index on respiratory parameters: A cross-sectional analytical Study

Effect of Body Mass Index on respiratory parameters: A cross-sectional analytical Study

Anthropometric determinants of lung function in apparently healthy individuals

Relation of Waist Hip Ratio and BMI with the Vital Capacity

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