Redução da variabilidade da freqüência cardíaca em indivíduos de meia-idade e o efeito do treinamento de força / Reduction of heart rate variability in middle-aged individuals and the effect of strength training

OBJETIVO: Investigar a modulação autonômica exercida sobre o nodo sinusal, por meio da análise da variabilidade da freqüência cardíaca (VFC), em indivíduos jovens e de meia-idade (MI), bem como os efeitos de um programa de treinamento de força resistência sobre tal modulação nos indivíduos de meia-idade. MÉTODO: Trinta e dois homens sadios, sedentários e não-tabagistas, sendo 10 jovens (22,2 ± 1,5 anos) e 22 de MI (49,3 ± 5,3 anos), foram submetidos à aquisição do sinal de eletrocardiograma para análise da VFC no domínio do tempo. Os indivíduos de MI foram divididos em dois grupos: experimental (n= 12) e controle (n= 10). Os indivíduos do grupo experimental foram inseridos em um programa de treinamento de força com duração de três meses. A análise dos dados foi realizada por meio dos testes de Wilcoxon e Mann-Whitney (p< 0,05). RESULTADOS: O grupo MI apresentou redução significativa, em comparação ao jovem, de todas as variáveis utilizadas para a investigação da VFC (SDNN= 33,4 vs. 49,7ms; RMSSD= 29,9 vs. 49,5ms; pNN50= 6,5 vs. 27 por cento). O treinamento promoveu aumento significativo da força e resistência muscular em todos os grupamentos musculares e aumento não significativo das variáveis SDNN (33,4 vs. 37,6ms), RMSSD (30,2 vs. 31,3ms) e pNN50 (7,5 vs. 11,4 por cento). CONCLUSÕES: Os achados deste estudo confirmam que o aumento da idade provoca alteração na modulação autonômica exercida sobre o nodo sinusal, retratada por uma diminuição da VFC em indivíduos de MI, que não foi modificada de maneira significativa pelo tipo de treinamento físico estudado.

OBJECTIVE: To investigate autonomic modulation of the sinus node, by analyzing heart rate variability (HRV) among young and middle-aged individuals, and to assess the effect of an endurance strength training program on this modulation among middle-aged individuals. METHOD: Thirty-two healthy nonsmoking men with sedentary lifestyles, of whom 10 were young (22.2 ± 1.5 years) and 22 were middle-aged (49.3 ± 5.3 years), underwent electrocardiogram signal acquisition for time-domain HRV analysis. The middle-aged individuals were divided into two groups: experimental (n= 12) and control (n= 10). The individuals in the experimental group were enrolled in a strength training program lasting three months. The data analysis was carried out using the Wilcoxon and Mann-Whitney tests (p< 0.05). RESULTS: The middle-aged group presented significant reductions (in relation to the young group) for all the variables used in investigating HRV (SDNN= 33.4 vs. 49.7 ms; RMSSD= 29.9 vs. 49.5 ms; pNN50= 6.5 vs. 27 percent). The training caused a significant increase in muscle strength and endurance for all muscular groups and non-significant increases in the variables SDNN (33.4 vs. 37.6 ms), RMSSD (30.2 vs. 31.3 ms) and pNN50 (7.5 vs. 11.4 percent). CONCLUSIONS: The findings from this study confirm that increased age causes alteration to the autonomic modulation of the sinus node, as demonstrated by reduced HRV in middle-aged individuals, which was not significantly modified by the type of physical training studied.

Clinical features of panic patients sensitive to hyperventilation or breath-holding methods for inducing panic attacks

Our aim was to compare the clinical features of panic disorder (PD) patients sensitive to hyperventilation or breath-holding methods of inducing panic attacks. Eighty-five PD patients were submitted to both a hyperventilation challenge test and a breath-holding test. They were asked to hyperventilate (30 breaths/min) for 4 min and a week later to hold their breath for as long as possible, four times with a 2-min interval. Anxiety scales were applied before and after the tests. We selected the patients who responded with a panic attack to just one of the tests, i.e., those who had a panic attack after hyperventilating (HPA, N = 24, 16 females, 8 males, mean age ± SD = 38.5 ± 12.7 years) and those who had a panic attack after breath holding (BHPA, N = 20, 11 females, 9 males, mean age ± SD = 42.1 ± 10.6 years). Both groups had similar (chi² = 1.28, d.f. = 1, P = 0.672) respiratory symptoms (fear of dying, chest/pain disconfort, shortness of breath, paresthesias, and feelings of choking) during a panic attack. The criteria of Briggs et al. [British Journal of Psychiatry, 1993; 163: 201-209] for respiratory PD subtype were fulfilled by 18 (75.0 percent) HPA patients and by 14 (70.0 percent) BHPA patients. The HPA group had a later onset of the disease compared to BHPA patients (37.9 ± 11.0 vs 21.3 ± 12.9 years old, Mann-Whitney, P < 0.001), and had a higher family prevalence of PD (70.8 vs 25.0 percent, chi² = 19.65, d.f. = 1, P = 0.041). Our data suggest that these two groups - HPA and BHPA patients - may be specific subtypes of PD.

Smoking and psychiatric disorders: a comorbidity survey

Epidemiological and clinical studies have shown a positive correlation between smoking and psychiatric disorders. To investigate the prevalence of cigarette smoking, 277 psychiatric outpatients with anxiety or depressive disorders (DSM-IV) answered a self-evaluation questionnaire about smoking behavior and were compared with a group of 68 control subjects. The diagnoses (N = 262) were: 30.2 percent (N = 79) major depressive disorder, 23.3 percent (N = 61) panic disorder, 15.6 percent (N = 41) social anxiety disorder, 7.3 percent (N = 19) other anxiety disorders, and 23.7 percent (N = 62) comorbidity disorders. Among them, 26.3 percent (N = 69) were smokers, 23.7 percent (N = 62) were former smokers and 50.0 percent (N = 131) were nonsmokers. The prevalence of nicotine dependence among the smokers was 59.0 percent (DSM-IV). The frequency of cigarette smoking did not show any significant difference among the five classes of diagnosis. The social anxiety disorder patients were the heaviest smokers (75.0 percent), with more unsuccessful attempts to stop smoking (89.0 percent). The frequency of former smokers was significantly higher among older subjects and nonsmokers were significantly younger (chi² = 9.13, d.f. = 2, P = 0.01). Our data present some clinical implications suggesting that in our psychiatric outpatient sample with anxiety disorder, major depression and comorbidity (anxiety disorder and major depression), the frequency of cigarette smoking did not differ from the frequency found in the control group or in general population studies. Some specific features of our population (outpatients, anxiety and depressive disorders) might be responsible for these results

Hyperventilation in panic disorder patients and healthy first-degree relatives

Our aim was to observe the induction of panic attacks by a hyperventilation challenge test in panic disorder patients (DSM-IV) and their healthy first-degree relatives. We randomly selected 25 panic disorder patients, 31 healthy first-degree relatives of probands with panic disorder and 26 normal volunteers with no family history of panic disorder. All patients had no psychotropic drugs for at least one week. They were induced to hyperventilate (30 breaths/min) for 4 min and anxiety scales were applied before and after the test. A total of 44.0 percent (N = 11) panic disorder patients, 16.1 percent (N = 5) of first-degree relatives and 11.5 percent (N = 3) of control subjects had a panic attack after hyperventilating (chi2 = 8.93, d.f. = 2, P = 0.011). In this challenge test the panic disorder patients were more sensitive to hyperventilation than first-degree relatives and normal volunteers. Although the hyperventilation test has a low sensitivity, our data suggest that there is no association between a family history of panic disorder and hyperreactivity to an acute hyperventilation challenge test. Perhaps cognitive variables should be considered to play a specific role in this association since symptoms of a panic attack and acute hyperventilation overlap