Resumo Este estudo investigou a prevalência e potenciais fatores de risco para ansiedade e depressão em fisioterapeutas durante a pandemia. Fisioterapeutas responderam a um questionário na web, incluindo: dados sociodemográficos, profissionais e clínicos; demandas psicossociais; e dois questionários validados para medir ansiedade e depressão. Regressão logística binária identificou fatores de risco para ansiedade e depressão por meio de odds ratio (OR) e intervalo de confiança de 95% (IC). Em 417 participantes houve alta prevalência de ansiedade (48,2%) e depressão (53%). Os fatores de risco para ansiedade foram: sexo feminino (OR 2,07; IC95% 1,01-4,24), piora nos padrões de sono (OR 3,78; IC95% 1,92-7,44), moderada (OR 2,24; IC95% 1,00-5,00) e extrema preocupação financeira (OR 3,47; IC95% 1,57-7,65) e extrema solidão (OR 3,47; IC95% 1,71-7,07). Os fatores de risco para depressão foram: sexo feminino (OR 2,16; IC95% 1,03-4,55), baixa renda familiar (OR 2,43; IC95% 1,21-4,89), piora nos padrões de sono (OR 5,97; IC95% 3,02-11,82), extrema preocupação financeira (OR 2,61; IC95% 1,15-5,94) e extrema solidão (OR 4,38; IC95% 2,00-9,63). Este estudo mostrou alta prevalência de ansiedade e depressão na população estudada e identificou fatores de risco para ambos. pandemia web incluindo sociodemográficos clínicos psicossociais OR 95 IC. IC . (IC) 41 48,2% 482 48 2 (48,2% 53%. 53 53% (53%) foram 2,07 207 07 IC95 1,014,24, 101424 1,01 4,24 , 1 01 4 24 1,01-4,24) 3,78 378 3 78 1,927,44, 192744 1,92 7,44 92 7 44 1,92-7,44) 2,24 224 1,005,00 100500 1,00 5,00 00 5 1,00-5,00 3,47 347 47 1,577,65 157765 1,57 7,65 57 65 1,57-7,65 1,717,07. 171707 1,71 7,07 71 1,71-7,07) 2,16 216 16 1,034,55, 103455 1,03 4,55 03 55 1,03-4,55) 2,43 243 43 1,214,89, 121489 1,21 4,89 21 89 1,21-4,89) 5,97 597 97 3,0211,82, 3021182 3,02 11,82 02 11 82 3,02-11,82) 2,61 261 61 1,155,94 115594 1,15 5,94 15 94 1,15-5,94 4,38 438 38 2,009,63. 200963 2,00 9,63 9 63 2,00-9,63) ambos (IC 48,2 (48,2 (53% 2,0 20 0 IC9 014 1,014,24 10142 101 1,0 424 4,2 1,01-4,24 3,7 37 927 1,927,44 19274 192 1,9 744 7,4 1,92-7,44 2,2 22 005 1,005,0 10050 100 500 5,0 1,00-5,0 3,4 34 577 1,577,6 15776 157 1,5 765 7,6 6 1,57-7,6 717 1,717,07 17170 171 1,7 707 7,0 1,71-7,07 2,1 034 1,034,55 10345 103 455 4,5 1,03-4,55 2,4 214 1,214,89 12148 121 1,2 489 4,8 8 1,21-4,89 5,9 59 0211 3,0211,82 302118 302 3,0 1182 11,8 3,02-11,82 2,6 26 155 1,155,9 11559 115 1,1 594 1,15-5,9 4,3 009 2,009,63 20096 200 963 9,6 2,00-9,63 48, (48, (53 2, 1,014,2 1014 10 1, 42 4, 1,01-4,2 3, 1,927,4 1927 19 74 7, 1,92-7,4 1,005, 1005 50 5, 1,00-5, 1,577, 1577 76 1,57-7, 1,717,0 1717 17 70 1,71-7,0 1,034,5 1034 45 1,03-4,5 1,214,8 1214 12 1,21-4,8 021 3,0211,8 30211 30 118 11, 3,02-11,8 1,155, 1155 1,15-5, 2,009,6 2009 96 9, 2,00-9,6 (48 (5 1,014, 1,01-4, 1,927, 1,92-7, 1,005 1,00-5 1,577 1,57-7 1,717, 1,71-7, 1,034, 1,03-4, 1,214, 1,21-4, 3,0211, 3021 3,02-11, 1,155 1,15-5 2,009, 2,00-9, (4 ( 1,014 1,01-4 1,927 1,92-7 1,00- 1,57- 1,717 1,71-7 1,034 1,03-4 1,214 1,21-4 3,0211 3,02-11 1,15- 2,009 2,00-9 1,01- 1,92- 1,71- 1,03- 1,21- 3,021 3,02-1 2,00- 3,02-

Abstract This study investigated the prevalence and the potential risk factors for anxiety and depression among physiotherapists during the pandemic. Physiotherapists answered a web-based questionnaire including 1) sociodemographic, professional and clinical information; 2) psychosocial demands; and 3) two validated questionnaires to measure anxiety and depression. Binary logistic regression identified the risk factors by means of odds ratio (OR) and 95% confidence interval (CI). In 417 participants, there was a high prevalence of anxiety (48.2%) and depression (53.0%). The risk factors for anxiety were female sex (OR 2.07; 95%CI 1.01-4.24), worsening in sleep patterns (OR 3.78; 95%CI 1.92-7.44), moderate (OR 2.24; 95%CI 1.00-5.00) and extreme concern about financial issues (OR 3.47; 95%CI 1.57-7.65), and extreme loneliness (OR 3.47; 95%CI 1.71-7.07). The risk factors for depression were female sex (OR 2.16; 95%CI 1.03-4.55), low family income (OR 2.43; 95%CI 1.21-4.89), worsening in sleep patterns (OR 5.97; 95%CI 3.02-11.82), extreme concern about financial issues (OR 2.61; 95%CI 1.15-5.94), and extreme loneliness (OR 4.38; 95%CI 2.00-9.63). This study found a high prevalence of anxiety and depression in the studied population and identified risk factors for both. pandemic webbased web based 1 sociodemographic information 2 demands 3 OR 95 CI. CI . (CI) 41 participants 48.2% 482 48 (48.2% 53.0%. 530 53.0% 53 0 (53.0%) 2.07 207 07 95CI 1.014.24, 101424 1.01 4.24 , 01 4 24 1.01-4.24) 3.78 378 78 1.927.44, 192744 1.92 7.44 92 7 44 1.92-7.44) 2.24 224 1.005.00 100500 1.00 5.00 00 5 1.00-5.00 3.47 347 47 1.577.65, 157765 1.57 7.65 57 65 1.57-7.65) 1.717.07. 171707 1.71 7.07 71 1.71-7.07) 2.16 216 16 1.034.55, 103455 1.03 4.55 03 55 1.03-4.55) 2.43 243 43 1.214.89, 121489 1.21 4.89 21 89 1.21-4.89) 5.97 597 97 3.0211.82, 3021182 3.02 11.82 02 11 82 3.02-11.82) 2.61 261 61 1.155.94, 115594 1.15 5.94 15 94 1.15-5.94) 4.38 438 38 2.009.63. 200963 2.00 9.63 9 63 2.00-9.63) both (CI 48.2 (48.2 53.0 (53.0% 2.0 20 014 1.014.24 10142 101 1.0 424 4.2 1.01-4.24 3.7 37 927 1.927.44 19274 192 1.9 744 7.4 1.92-7.44 2.2 22 005 1.005.0 10050 100 500 5.0 1.00-5.0 3.4 34 577 1.577.65 15776 157 1.5 765 7.6 6 1.57-7.65 717 1.717.07 17170 171 1.7 707 7.0 1.71-7.07 2.1 034 1.034.55 10345 103 455 4.5 1.03-4.55 2.4 214 1.214.89 12148 121 1.2 489 4.8 8 1.21-4.89 5.9 59 0211 3.0211.82 302118 302 3.0 1182 11.8 3.02-11.82 2.6 26 155 1.155.94 11559 115 1.1 594 1.15-5.94 4.3 009 2.009.63 20096 200 963 9.6 2.00-9.63 48. (48. 53. (53.0 2. 1.014.2 1014 10 1. 42 4. 1.01-4.2 3. 1.927.4 1927 19 74 7. 1.92-7.4 1.005. 1005 50 5. 1.00-5. 1.577.6 1577 76 1.57-7.6 1.717.0 1717 17 70 1.71-7.0 1.034.5 1034 45 1.03-4.5 1.214.8 1214 12 1.21-4.8 021 3.0211.8 30211 30 118 11. 3.02-11.8 1.155.9 1155 1.15-5.9 2.009.6 2009 96 9. 2.00-9.6 (48 (53. 1.014. 1.01-4. 1.927. 1.92-7. 1.005 1.00-5 1.577. 1.57-7. 1.717. 1.71-7. 1.034. 1.03-4. 1.214. 1.21-4. 3.0211. 3021 3.02-11. 1.155. 1.15-5. 2.009. 2.00-9. (4 (53 1.014 1.01-4 1.927 1.92-7 1.00- 1.577 1.57-7 1.717 1.71-7 1.034 1.03-4 1.214 1.21-4 3.0211 3.02-11 1.155 1.15-5 2.009 2.00-9 ( (5 1.01- 1.92- 1.57- 1.71- 1.03- 1.21- 3.021 3.02-1 1.15- 2.00- 3.02-

Resumo Este estudo investigou a prevalência e potenciais fatores de risco para ansiedade e depressão em fisioterapeutas durante a pandemia. Fisioterapeutas responderam a um questionário na web, incluindo: dados sociodemográficos, profissionais e clínicos; demandas psicossociais; e dois questionários validados para medir ansiedade e depressão. Regressão logística binária identificou fatores de risco para ansiedade e depressão por meio de odds ratio (OR) e intervalo de confiança de 95% (IC). Em 417 participantes houve alta prevalência de ansiedade (48,2%) e depressão (53%). Os fatores de risco para ansiedade foram: sexo feminino (OR 2,07; IC95% 1,01-4,24), piora nos padrões de sono (OR 3,78; IC95% 1,92-7,44), moderada (OR 2,24; IC95% 1,00-5,00) e extrema preocupação financeira (OR 3,47; IC95% 1,57-7,65) e extrema solidão (OR 3,47; IC95% 1,71-7,07). Os fatores de risco para depressão foram: sexo feminino (OR 2,16; IC95% 1,03-4,55), baixa renda familiar (OR 2,43; IC95% 1,21-4,89), piora nos padrões de sono (OR 5,97; IC95% 3,02-11,82), extrema preocupação financeira (OR 2,61; IC95% 1,15-5,94) e extrema solidão (OR 4,38; IC95% 2,00-9,63). Este estudo mostrou alta prevalência de ansiedade e depressão na população estudada e identificou fatores de risco para ambos.

Abstract This study investigated the prevalence and the potential risk factors for anxiety and depression among physiotherapists during the pandemic. Physiotherapists answered a web-based questionnaire including 1) sociodemographic, professional and clinical information; 2) psychosocial demands; and 3) two validated questionnaires to measure anxiety and depression. Binary logistic regression identified the risk factors by means of odds ratio (OR) and 95% confidence interval (CI). In 417 participants, there was a high prevalence of anxiety (48.2%) and depression (53.0%). The risk factors for anxiety were female sex (OR 2.07; 95%CI 1.01-4.24), worsening in sleep patterns (OR 3.78; 95%CI 1.92-7.44), moderate (OR 2.24; 95%CI 1.00-5.00) and extreme concern about financial issues (OR 3.47; 95%CI 1.57-7.65), and extreme loneliness (OR 3.47; 95%CI 1.71-7.07). The risk factors for depression were female sex (OR 2.16; 95%CI 1.03-4.55), low family income (OR 2.43; 95%CI 1.21-4.89), worsening in sleep patterns (OR 5.97; 95%CI 3.02-11.82), extreme concern about financial issues (OR 2.61; 95%CI 1.15-5.94), and extreme loneliness (OR 4.38; 95%CI 2.00-9.63). This study found a high prevalence of anxiety and depression in the studied population and identified risk factors for both.

Abstract Objective: To compare the Rapid Shallow Breathing Index (RSBI) obtained by the ventilometer and from mechanical ventilation parameters. Methods: Randomized crossover trial, including 33 intubated patients, on mechanical ventilation for at least 24 hours, undergoing spontaneous breathing test. Patients were submitted to the measurement of RSBI by four methods: disconnected from the ventilator through the ventilometer; in Pressure Support Ventilation (PSV) mode at a pressure of 7 cm H2O; in Continuous Positive Airway Pressure (CPAP) mode at a pressure of 5 cmH2O with flow trigger; in CPAP mode at a pressure of 5 cmH2O with pressure trigger. Results: No significant difference was detected between the RSBI obtained by the ventilometer and in the CPAP mode with flow and pressure triggers, however, in the PSV mode, the values were lower than in the other measurements (p < 0.001). By selecting patients from the sample with higher RSBI (≥ 80 cycles.min−1.L−1), the value of the index obtained by the ventilometer was higher than that obtained in the three options of ventilation methods. Conclusion: The RSBI obtained in the CPAP mode at a pressure of 5 cmH2O, in both triggers types, did not differ from that measured by the ventilometer; it is, therefore, an alternative when obtaining it from mechanical ventilation parameters is necessary. However, in the presence of borderline values, the RSBI measured by ventilometer is recommended, as in this method the values are significantly higher than in the three ventilation modalities investigated. Objective (RSBI Methods trial 3 2 hours test methods (PSV H2O HO H O (CPAP cmHO cmH trigger Results however p 0.001. 0001 0.001 . 0 001 0.001) ≥ ( 8 cycles.min−1.L−1, cyclesmin1L1 cyclesminL cycles.min−1.L−1 , cycles min 1 L cycles.min−1.L−1) Conclusion types therefore necessary However recommended investigated 000 0.00 00 cyclesmin cyclesmin1L cycles.min−1.L− 0.0 cycles.min−1.L 0.

OBJETIVO: Verificar a influência da obesidade mórbida na idade pulmonar de mulheres e correlacionar com a massa corporal, índice de massa corporal (IMC) e variáveis ventilatórias. MÉTODOS: Estudo longitudinal realizado com 72 obesas mórbidas e grupo controle constituído de mulheres eutróficas. As voluntárias realizaram um teste de função pulmonar para determinação da idade pulmonar e os resultados foram correlacionados com as variáveis antropométricas e volumes pulmonares. RESULTADOS: As obesas mórbidas apresentaram uma idade pulmonar significativamente superior (50,1 ± 6,8 anos) às eutróficas (38,8 ± 11,4 anos). Não houve diferença entre a idade cronológica entre os grupos. Houve uma correlação significativa e positiva entre idade cronológica, massa corporal e IMC com a idade pulmonar (r = 0,3647, 0,4182, 0,3743, respectivamente). Houve uma correlação negativa entre a capacidade vital forçada (CVF), volume expiratório forçado no primeiro segundo (VEF1), razão (VEF1/CVF) e volume de reserva expiratório (VRE) com a idade pulmonar (r = -0.7565, -0.8769, -0.2723, -0.2417, respectivamente). CONCLUSÃO: A idade pulmonar das obesas mórbidas encontra-se aumentada e está associada com o aumento da massa corporal e IMC.

OBJECTIVE: To investigate the influence of morbid obesity on the lung age in women and to correlate with body mass, body mass index (BMI), and ventilatory variables. METHODS: This was a cross-sectional study with 72 morbidly obese women and a control group consisting of 37 normal weight women. The subjects performed a pulmonary function test to determine lung age, and the results were correlated to anthropometric variables and lung volumes. RESULTS: The morbidly obese group had significantly higher lung age (50.1 ± 6.8 years) than the control group (38.8 ± 11.4 years). There was no difference in chronological age between groups. There was a significant positive correlation among chronological age, body mass, BMI, and lung age (r = 0.3647, 0.4182, and 0.3743, respectively). There was a negative correlation among forced vital capacity (FVC), forced expiratory volume in one second (FEV1), FEV1/FVC ratio, expiratory reserve volume (ERV), and lung age (r = -0.7565, -0.8769, -0.2723, and -0.2417, respectively). CONCLUSION: Lung age is increased in morbidly obese women and is associated with increased body mass and BMI.

OBJECTIVE: To determine whether preoperative inspiratory muscle training is able to attenuate the impact of surgical trauma on the respiratory muscle strength, in the lung volumes, and diaphragmatic excursion in obese women undergoing open bariatric surgery. DESIGN: Randomized controlled trial. SETTING: Meridional Hospital, Cariacica/ES, Brazil. SUBJECTS: Thirty-two obese women undergoing elective open bariatric surgery were randomly assigned to receive preoperative inspiratory muscle training (inspiratory muscle training group) or usual care (control group). MAIN MEASURES: Respiratory muscle strength (maximal static respiratory pressure - maximal inspiratory pressure and maximal expiratory pressure), lung volumes, and diaphragmatic excursion. RESULTS: After training, there was a significant increase only in the maximal inspiratory pressure in the inspiratory muscle training group. The maximal expiratory pressure, the lung volumes and the diaphragmatic excursion did not show any significant change with training. In the postoperative period there was a significant decrease in maximal inspiratory pressure in both the groups. However, there was a decrease of 28% in the inspiratory muscle training group, whereas it was 47% in the control group. The decrease in maximal expiratory pressure and in lung volumes in the postoperative period was similar between the groups. There was a significant reduction in the measures of diaphragmatic excursion in both the groups. CONCLUSION: The preoperative inspiratory muscle training increased the inspiratory muscle strength (maximal inspiratory pressure) and attenuated the negative postoperative effects of open bariatric surgery in obese women for this variable, though not influencing the lung volumes and the diaphragmatic excursion.