Abstract:CONTEXT AND OBJECTIVE: Pulmonary dysfunction in obese individuals may be associated with respiratory muscle impairment, and may be influenced by predominance of upper-body fat distribution. The objective of this study was to evaluate the strength of respiratory muscles in obese individuals and to analyze the influence of adipose tissue distribution. DESIGN AND SETTING: Cross-sectional study on the preoperative period prior to bariatric surgery. Research developed within the Postgraduate General Surgery Program… Show more
“…Magnani and Cataneo, 18 in a study only with obese individuals aged 20-64 years, verified that obesity does not impair RMS, since Pmax values did not achieve significance when compared with reference values for normality established by Neder et al. 12 Queiroz 25 conducted a study with obese and nonobese individuals (n = 100) separated by sex.…”
Section: Discussionmentioning
confidence: 83%
“…Our statistical analysis correlating WHR with RMS revealed no significant results, which are consistent with previous findings. 18,25 . Magnani and Cataneo 18 reported that obesity did not interfere with RMS at any age group and degree of obesity, respectively.…”
Section: Discussionmentioning
confidence: 99%
“…12,24,25 The analog vacuum manometer ± 300cm H 2 O (Suporte ® ) was connected to a 15-cm tracheal tube and a universal connector with a small orifice to relieve excess pressure, thus avoiding early glottic closure during PImax and reducing the use of facial muscles during PEmax. 12,18,24,25,26 To quantify PImax the volunteer was instructed to perform a maximal inspiratory effort from residual volume (RV), and to quantify PEmax a maximal expiratory effort from total lung capacity (TLC), both against an occluded airway. 13,26 The test was conducted by experienced, previously trained researchers, who provided a brief explanation and demonstration to the participants on how to correctly perform the test.…”
Section: Methodsologymentioning
confidence: 99%
“…14,18 After WHR is obtained, the distribution of body fat is established as either android or gynecoid. 17 Women with ratios greater than 0.85 and men with ratios greater than 0.90 have increased risk of developing obesity-related metabolic abnormalities, such as elevated blood pressure, impaired glucose tolerance, dyslipidemia, and insulin resistance.…”
“…Magnani and Cataneo, 18 in a study only with obese individuals aged 20-64 years, verified that obesity does not impair RMS, since Pmax values did not achieve significance when compared with reference values for normality established by Neder et al. 12 Queiroz 25 conducted a study with obese and nonobese individuals (n = 100) separated by sex.…”
Section: Discussionmentioning
confidence: 83%
“…Our statistical analysis correlating WHR with RMS revealed no significant results, which are consistent with previous findings. 18,25 . Magnani and Cataneo 18 reported that obesity did not interfere with RMS at any age group and degree of obesity, respectively.…”
Section: Discussionmentioning
confidence: 99%
“…12,24,25 The analog vacuum manometer ± 300cm H 2 O (Suporte ® ) was connected to a 15-cm tracheal tube and a universal connector with a small orifice to relieve excess pressure, thus avoiding early glottic closure during PImax and reducing the use of facial muscles during PEmax. 12,18,24,25,26 To quantify PImax the volunteer was instructed to perform a maximal inspiratory effort from residual volume (RV), and to quantify PEmax a maximal expiratory effort from total lung capacity (TLC), both against an occluded airway. 13,26 The test was conducted by experienced, previously trained researchers, who provided a brief explanation and demonstration to the participants on how to correctly perform the test.…”
Section: Methodsologymentioning
confidence: 99%
“…14,18 After WHR is obtained, the distribution of body fat is established as either android or gynecoid. 17 Women with ratios greater than 0.85 and men with ratios greater than 0.90 have increased risk of developing obesity-related metabolic abnormalities, such as elevated blood pressure, impaired glucose tolerance, dyslipidemia, and insulin resistance.…”
“…3 However, no consensus has been reached in the literature concerning the behavior of the respiratory muscles in the presence of increased body mass index (BMI). [4][5][6] According to Magnani and Cataneo, 5 individuals with obesity have respiratory muscle dysfunction due to changes in the relationship between the lung, chest wall, and diaphragm muscle, which in turn alter respiratory mechanics and gas exchange. It is believed that these changes cause overload in the respiratory muscles, increasing the mechanical work involved in respiration.…”
BACKGROUND:The objective of the present study was to develop predictive equations for maximum respiratory pressures in women according to anthropometric characteristics. METHODS: This cross-sectional study included 156 women between ages 25 and 65 y with a body mass index (BMI) between 18.5 and 55 kg/m 2 , who were evaluated for body mass, height, BMI, neck circumference, waist circumference, hip circumference, and waist/hip ratio. Respiratory muscle strength was assessed by measuring the maximum inspiratory pressure (P Imax ) and maximum expiratory pressure (P Emax ) with an analog vacuum manometer. For statistical analysis, the KolmogorovSmirnov test, Spearman correlation test, and stepwise multiple regression were used. The level of statistical significance was set at 5% (P < .05). RESULTS: Body mass, BMI, neck circumference, waist circumference, hip circumference, and waist/hip ratio showed significant and positive correlations with P Imax and P Emax . On the other hand, age and height showed no significant correlations with P Imax and P Emax . In the regression analysis, the variables that correlated significantly with P Imax and P Emax were used. CONCLUSIONS: Body mass was the variable that best contributed to predicting maximum respiratory pressures values in women (11.70% of the variations of the P Imax and 21.05% of the variations of the P Emax ). For P Imax measurements, the equation ؊0.2 ؋ body mass ؊ 65.6 was established, and for P Emax , the equation 0.3 ؋ body mass ؉ 66.4 was used. It is suggested that the predictive equations developed in this study can be used in the interpretation of the assessment of respiratory muscle strength in morbidly obese women 25-65 y of age.
Obesity currently affects about one third of the U.S. population, while another one third is overweight. The importance of obesity for certain conditions such as heart disease and type 2 diabetes is well appreciated. The effects of obesity on the respiratory system have received less attention and are the subject of this chapter. Obesity alters the static mechanic properties of the respiratory system leading to a reduction in the functional residual capacity (FRC) and the expiratory reserve volume (ERV). There is substantial variability in the effects of obesity on FRC and ERV, at least some of which is related to the location, rather than the total mass of adipose tissue. Obesity also results in airflow obstruction, which is only partially attributable to breathing at low lung volume, and can also promote airway hyperresponsiveness and asthma. Hypoxemia is common is obesity, and correlates well with FRC, as well as with measures of abdominal obesity. However, obese subjects are usually eucapnic, indicating that hypoventilation is not a common cause of their hypoxemia. Instead, hypoxemia results from ventilation perfusion mismatch caused by closure of dependent airways at FRC. Many obese subjects complain of dyspnea either at rest or during exertion, and the dyspnea score also correlates with reductions in FRC and ERV. Weight reduction should be encouraged in any symptomatic obese individual, since virtually all of the respiratory complications of obesity improve with even moderate weight loss.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.