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1.
PLoS One ; 16(8): e0255724, 2021.
Article in English | MEDLINE | ID: mdl-34370766

ABSTRACT

PURPOSE: Obese individuals have reduced performance in cardiopulmonary exercise testing (CPET), mainly considering peak values of variables such as oxygen uptake ([Formula: see text]), carbon dioxide production ([Formula: see text]), tidal volume (Vt), minute ventilation ([Formula: see text]) and heart rate (HR). The CPET interpretation and prognostic value can be improved through submaximal ratios analysis of key variables like [Formula: see text], [Formula: see text], [Formula: see text] [Formula: see text] and oxygen uptake efficiency slope (OUES). The obesity influence on these responses has not yet been investigated. Our purpose was to evaluate the influence of adulthood obesity on maximal and submaximal physiological responses during CPET, emphasizing the analysis of submaximal dynamic variables. METHODS: We analyzed 1,594 CPETs of adults (755 obese participants, Body Mass Index ≥ 30 kg/m2) and compared the obtained variables among non-obese (normal weight and overweight) and obese groups (obesity classes I, II and III) through multivariate covariance analyses. RESULT: Obesity influenced the majority of evaluated maximal and submaximal responses with worsened CPET performance. Cardiovascular, metabolic and gas exchange variables were the most influenced by obesity. Other maximal and submaximal responses were altered only in morbidly obese. Only a few cardiovascular and ventilatory variables presented inconsistent results. Additionally, Vtmax, [Formula: see text], Vt/Inspiratory Capacity, Vt/Forced Vital Capacity, Lowest [Formula: see text], [Formula: see text], and the y-intercepts of [Formula: see text] did not significantly differ regardless of obesity. CONCLUSION: Obesity expressively influences the majority of CPET variables. However, the prognostic values of the main ventilatory efficiency responses remain unchanged. These dynamic responses are not dependent on maximum effort and may be useful in detecting incipient ventilatory disorder. Our results present great practical applicability in identifying exercise limitation, regardless of overweight and obesity.


Subject(s)
Exercise Test , Exercise/physiology , Obesity/therapy , Overweight/therapy , Adult , Body Mass Index , Body Weight , Carbon Dioxide/metabolism , Female , Humans , Male , Middle Aged , Obesity/physiopathology , Obesity, Morbid , Overweight/physiopathology , Overweight/prevention & control , Oxygen/metabolism
2.
Clin Physiol Funct Imaging ; 38(3): 462-467, 2018 May.
Article in English | MEDLINE | ID: mdl-28707733

ABSTRACT

We aimed to develop an equation to predict peak VO2 in obese subjects undergoing CPET. In addition, we evaluated and compared three published equations. We randomized 346 obese subjects undergoing CPET into a group for developing the equation (n = 272) and a group for cross-validation (n = 74), compared through the Bland and Altman method. Height, sex and age were responsible for 85·5% of total variability of the peak VO2. Additional 1% and 0·7% of the variability were, respectively, explained by physical inactivity and diabetes. The equation devised was as follows: peakVO2mlmin-1=-677·8+(2135·9×heightm)+(706·8×sexmales=1;females=0)-(15·5×ageyears)-(161·1×physicalinactivityyes=1;no=0)-(176·3×diabetesyes=1;no=0). The mean difference between the estimated and measured peak VO2 was 7 ml min-1 , with a 23·9% bias. Published equations overestimated the peak VO2 by 35·3%, 49·1% and 46·2% bias. The equation developed in this study performed better in predicting peak VO2 in obese adults improving ramp protocol design and CRF evaluations in obese subjects.


Subject(s)
Cardiorespiratory Fitness , Exercise Test , Exercise Tolerance , Models, Biological , Obesity/physiopathology , Oxygen Consumption , Adult , Age Factors , Body Height , Female , Humans , Male , Middle Aged , Obesity/diagnosis , Predictive Value of Tests , Prospective Studies , Random Allocation , Reproducibility of Results , Retrospective Studies , Sex Factors , Time Factors
3.
J Bras Pneumol ; 42(2): 130-5, 2016 Apr.
Article in English, Portuguese | MEDLINE | ID: mdl-27167434

ABSTRACT

OBJECTIVE: To determine whether the level of physical activity in daily life (PADL) is associated with pulmonary function in adult smokers. METHODS: We selected 62 adult smokers from among the participants of an epidemiological study conducted in the city of Santos, Brazil. The subjects underwent forced spirometry for pulmonary function assessment. The level of PADL was assessed by the International Physical Activity Questionnaire and triaxial accelerometry, the device being used for seven days. The minimum level of PADL, in terms of quantity and intensity, was defined as 150 min/week of moderate to vigorous physical activity. Correlations between the studied variables were tested with Pearson's or Spearman's correlation coefficient, depending on the distribution of the variables. We used linear multiple regression in order to analyze the influence of PADL on the spirometric variables. The level of significance was set at 5%. RESULTS: Evaluating all predictors, corrected for confounding factors, and using pulmonary function data as outcome variables, we found no significant associations between physical inactivity, as determined by accelerometry, and spirometric indices. The values for FVC were lower among the participants with arterial hypertension, and FEV1/FVC ratios were lower among those with diabetes mellitus. Obese participants and those with dyslipidemia presented with lower values for FVC and FEV1. CONCLUSIONS: Our results suggest that there is no consistent association between physical inactivity and pulmonary function in adult smokers. Smoking history should be given special attention in COPD prevention strategies, as should cardiovascular and metabolic comorbidities.


Subject(s)
Activities of Daily Living , Exercise/physiology , Lung/physiology , Smoking/physiopathology , Accelerometry , Adult , Age Factors , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Predictive Value of Tests , Pulmonary Disease, Chronic Obstructive/etiology , Pulmonary Disease, Chronic Obstructive/physiopathology , Reference Values , Respiratory Function Tests , Risk Factors , Sex Factors , Smoking/adverse effects , Statistics, Nonparametric , Time Factors
4.
J. bras. pneumol ; 42(2): 130-135, Mar.-Apr. 2016. tab
Article in English | LILACS | ID: lil-780888

ABSTRACT

Objective: To determine whether the level of physical activity in daily life (PADL) is associated with pulmonary function in adult smokers. Methods: We selected 62 adult smokers from among the participants of an epidemiological study conducted in the city of Santos, Brazil. The subjects underwent forced spirometry for pulmonary function assessment. The level of PADL was assessed by the International Physical Activity Questionnaire and triaxial accelerometry, the device being used for seven days. The minimum level of PADL, in terms of quantity and intensity, was defined as 150 min/week of moderate to vigorous physical activity. Correlations between the studied variables were tested with Pearson's or Spearman's correlation coefficient, depending on the distribution of the variables. We used linear multiple regression in order to analyze the influence of PADL on the spirometric variables. The level of significance was set at 5%. Results: Evaluating all predictors, corrected for confounding factors, and using pulmonary function data as outcome variables, we found no significant associations between physical inactivity, as determined by accelerometry, and spirometric indices. The values for FVC were lower among the participants with arterial hypertension, and FEV1/FVC ratios were lower among those with diabetes mellitus. Obese participants and those with dyslipidemia presented with lower values for FVC and FEV1. Conclusions: Our results suggest that there is no consistent association between physical inactivity and pulmonary function in adult smokers. Smoking history should be given special attention in COPD prevention strategies, as should cardiovascular and metabolic comorbidities.


Objetivo: Determinar se há associações entre o nível de atividade física na vida diária (AFVD) e a função pulmonar em tabagistas adultos. Métodos: Foram selecionados 62 tabagistas adultos de um estudo epidemiológico, realizado na cidade de Santos (SP). Os participantes realizaram o teste de espirometria forçada para a avaliação da função pulmonar. O nível de AFVD foi avaliado pelo Questionário Internacional de Atividade Física e por acelerometria triaxial (aparelho utilizado por sete dias). O nível mínimo de AFVD, em termos de quantidade e intensidade, foi definido como 150 min/semana de atividade física moderada a vigorosa durante o monitoramento. As correlações entre as variáveis estudadas foram avaliadas pelo coeficiente de correlação de Pearson ou de Spearman conforme a distribuição das variáveis. A influência de AFVD nas variáveis espirométricas foi avaliada por meio de análise de regressão múltipla linear. O nível de significância foi estipulado em 5%. Resultados: Quando avaliados todos os preditores corrigidos para fatores de confusão e utilizando dados da função pulmonar como variáveis de desfecho, não foram observadas associações significativas entre a inatividade física avaliada por acelerometria e os índices espirométricos. As análises mostraram valores inferiores da CVF em participantes com hipertensão arterial e da relação VEF1/CVF nos participantes com diabetes mellitus. Os participantes obesos e os dislipidêmicos apresentaram valores inferiores de CVF e VEF1. Conclusões: Nossos resultados sugerem que a inatividade física apresenta associação pouco consistente com a função pulmonar de tabagistas adultos. A carga tabágica, assim como comorbidades cardiovasculares e metabólicas, deveriam ser priorizadas em estratégias preventivas da DPOC.


Subject(s)
Humans , Male , Female , Adult , Middle Aged , Activities of Daily Living , Exercise/physiology , Lung/physiology , Smoking/physiopathology , Accelerometry , Age Factors , Cross-Sectional Studies , Predictive Value of Tests , Pulmonary Disease, Chronic Obstructive/etiology , Pulmonary Disease, Chronic Obstructive/physiopathology , Reference Values , Respiratory Function Tests , Risk Factors , Sex Factors , Smoking/adverse effects , Statistics, Nonparametric , Time Factors
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