Variation of PEFR with height, weight and waist-hip ratio in medical students

doi:10.3823/1683

Cited by 3 publications

(8 citation statements)

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“…A Study conducted at Karachi also reported the similar range between 580 -250 L/min. 3 In accordance with current results Jena SK also reported the similar reference values of ranged 500 -340 L/min for the Indian population. 9 The present study observed increase in PEFR with increase in height and this positive association was found to be statistically significant (p value =0.004*).…”

Section: Discussionsupporting

confidence: 89%

“…This observation was supported by the previous research conducted in Karachi which also reported the increase in PEFR values with increase in height most probably due to greater thoracic volume, greater strength of expiratory muscle and more muscular effort in tall subjects than short heighted subjects. 3 Similar results were also reported by previous study conducted by Sandhu PK in Punjab India. 7 Moreover, our study also identified decrease in mean PEFR with increase in weight which was statistically significant difference (p value =0.01*).…”

Section: Discussionsupporting

confidence: 87%

“…Correct assessment of an observed reading of PEFR required knowledge for its range in normal subjects. 1,3 The Present study was focused to explore range of PEFR among the residents of Faisalabad and to elucidate the impact of age, height, weight and BMI on it which are the key factors for influencing the PEFR. The average PEFR of participants of current study was between 534 and 213 L/min.…”

Section: Discussionmentioning

confidence: 99%

“…2 It is a simple index of lung functions and commonly used in clinical setups for diagnosis and the assessment of progression of air way obstruction including Asthma. 3 It is proved to be a valuable tool in lung function studies for selection of the treatment regimens. 4 Its normal values vary according to racial, geographical, genetic and nutritional background.…”

Section: Introductionmentioning

confidence: 99%

“…Different ways of lifestyle including physical activity has effect on PEFR. 3 It is imperative to determine the accurate PEFR measurement of population of industrialized regions in respect to distinct influencing factors and to suggest normal reference values as they are more prone to airway obstruction and airway hypersensitivity. Current study was designed to determine PEFR values in non-smoker healthy employees of a private medical college in Faisalabad.…”

Section: Introductionmentioning

confidence: 99%

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Impact of Anthropometric Parameters on Peak Expiratory Flow Rate

Atta¹,

Zia²,

Jabeen³

2019

JAFMDC

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Objective: The aim of the study was to determine the variation of Peak Expiratory Flow Rate (PEFR) with various anthropometric measurements.Methodology: It was a cross sectional study conducted University Medical and Dental College Faisalabad from August 2019 to September 2019.The study comprised of 210 participants of age 18 to 25 years. A detailed history regarding smoking, respiratory disease and allergies were taken. Body mass index (BMI) was calculated from recorded height and weight. PEFR was measured by Peak flow meter. Data was analyzed by SPSS 21. Mean and SD was calculated for continuous variables. Percentages were estimated for categorical variables. ANOVA and t-test were used for comparison of mean between the groups. Association of PEFR with anthropometric measurements was analyzed by regression analysis.Results: Of total population of 210 subjects, 60.5% were males 39.5% were females. Mean PEFR was higher in tall than short heighted subjects. This difference was significant. (p value=0.005*). Significant difference in mean PEFR was also noted with respect to weight distribution of subjects (p value = 0.01*). On analyzing the subjects on the basis of BMI, we observed lower PEFR values in underweight and obese subjects in contrast to subjects with normal BMI, however this difference was not significant (p value = 0.42). PEFR was positively associated with height (p value = 0.004*) PEFR was not significantly associated with age, weight and BMI.Conclusion: PEFR was positively influenced by height and taller subjects have greater PEFR values than short heighted subjects. Age, weight and BMI have no impact on PEFR.

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Section: Discussionsupporting

confidence: 89%

Section: Discussionsupporting

confidence: 87%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Impact of Anthropometric Parameters on Peak Expiratory Flow Rate

Atta¹,

Zia²,

Jabeen³

2019

JAFMDC

View full text Add to dashboard Cite

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Anthropometric Variables and PEFR

Chandel

Shivhare²,

Bhagat³

2022

Central European Journal of Sport Sciences and Medicine

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Peak expiratory flow rate (PEFR) varies with anthropometric variables like calendar age, body height, body weight, and body surface area in different regions. The present study aims at analyzing the relationship of PEFR with anthropometric variables to know a reference value in this region. We conducted the present study on healthy adult males aged eighteen to forty-five years engaged in works where they were un-exposed to pollutants in Patiala, India. Subgroups were made in each anthropometric variable category. PEFR recording was done using Mini Wright Peak Flow Meter. Results are expressed as mean PEFR ± standard deviation (mean ±S.D.), while the students' t-test was used to determine the differences between the means. We observed a linear increase in PEFR with all anthropometric variables. The correlation of PEFR with anthropometric variables was determined. PEFR is positively correlated with body height and body surface area (r = +0.20) and negatively correlated with calendar age (r = -0.24) and body weight (r = -0.02). We conclude that PEFR correlates best with body height (r = +0.48), and the result is highly significant (p < 0.01).

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Correlation Between Nasal Mucociliary Clearance and Peak Expiratory Flow Rate in Young Healthy Adults

Sood

Yadav

2022

ijsr

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Background: There are fewer studies on correlation between NMC and PEFR in young healthy adults in Indian population, of age group 18-24 years. Objective:To correlate nasal mucociliary clearance and peak expiratory ow rate in young healthy adults, including both females and males. Method: In a cross-sectional study, NMC was assessed by Anderson's Saccharin method and PEFR was measured with standard Wright's peak ow meter in sixty young healthy adults of age 18-24 years. In the selection process of subjects, strict criteria of "normality" were applied and included history of medical illnesses, general examination and systemic examination. Diseases affecting NMC and PEFR were excluded. The correlation of NMC and PEFR was done by Pearson's equation. Results: The correlation between mean NMC and PEFR of young healthy adults (n=60) including both females and males, revealed a weak positive correlation (r = 0.1), which was insignicant (p 0.449). Conclusion: In young healthy adults, as the NMC increases, the PEFR also increases but the relationship between the two is not very strong. However, there is not much reported study on correlation of NMC and PEFR. Hence, it needs to be elucidated by further studies.

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Variation of PEFR with height, weight and waist-hip ratio in medical students

Cited by 3 publications

References 14 publications

Impact of Anthropometric Parameters on Peak Expiratory Flow Rate

Impact of Anthropometric Parameters on Peak Expiratory Flow Rate

Anthropometric Variables and PEFR

Correlation Between Nasal Mucociliary Clearance and Peak Expiratory Flow Rate in Young Healthy Adults

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