Sleep, psychological health, and physical activity level in patients with hypertension.

The aim of this study was to compare sleep, daytime sleepiness, and psychological health in physically active versus inactive patients with hypertension. A cross-sectional design included thirty-seven participants (ACTIVE, n = 15; INACTIVE, n = 22). Sleep was assessed by polysomnography, the Pittsburgh Sleep Quality Index (PSQI) and a one-week daily sleep diary. The sleepiness was assessed with the Epworth Sleepiness Scale and the psychological health was assessed with the Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI) and Profile of Mood States (POMS). Habitual physical activity was assessed with 7 day-step counts recorded by a pedometer and questionnaire. Significantly lower PSQI score (mean ± S.D.; 7.3 ± 3.4 vs 10.1 ± 3.6) and daytime sleepiness (8.7 ± 4.5 vs. 11.9 ± 4.4) were found in the physically active versus inactive participants, respectively. In addition, higher PSQI-total sleep time (6.9 ± 1.3 vs 5.6 ± 1.1) and vigor/activity (19.7 ± 3.9 vs 16.0 ± 3.9), and lower depressed mood on the POMS scale (8.2 ± 7.9 vs 13.8 ± 10.0) and lower POMS total mood disturbance (21.0 ± 27.0 vs 43.5 ± 32.5) were observed in the active participants compared with the inactive participants. Combining data across both groups, leisure time sport participation correlated negatively with PSQI (r = -0.35; p < 0.05) and BDI (r = -0.42; p < 0.05), and positively with POMS-vigor/activity (r = 0.43; p < 0.05). The results showed regular physical activity was associated with better sleep and psychological health in patients with hypertension.

Are there sex differences in energy expenditure and enjoyment in older adults playing active video games?

The aim of this study was to compare sex differences in energy expenditure and enjoyment in older adults during Active Video Game activities and sedentary behavior (watching television). In a within-subjects design, n = 32 older adults were included (15 men and 17 women). Energy expenditure was measured during each activity using indirect calorimetry. Energy expenditure was expressed in J.kg-1.min-1 and Metabolic Equivalents. Enjoyment was measured after each activity with the Physical Activity Enjoyment Scale. Energy expenditure was greater in Active Video Game activities compared to sedentary behavior in both men and women, but no differences were observed between sexes. The women reported greater enjoyment in Active Video Game activities compared to the men, and women reported greater enjoyment in Active Video Game activities compared to watching television, whereas the men did not report differences in enjoyment between Active Video Game vs. television watching. In conclusion, despite no difference in Energy expenditure, older women enjoy more than men playing Active Video Game, maybe they can be targeted for this intervention. (Clinical Trials Registration - NCT04352543).

Effects of resistance exercise training and stretching on chronic insomnia

Objective: The aim of this study was to assess the effects of resistance exercise and stretching on sleep, mood, and quality of life in chronic insomnia patients. Methods: Three 4-month treatments included: resistance exercise (n=10), stretching (n=10), and control (n=8). Sleep was evaluated with polysomnography, actigraphy, and questionnaires. Mood and quality of life were assessed with the Profile of Mood States (POMS) and the Medical Outcomes Study Short-Form 36-Item Health Survey (SF-36), respectively. Results: There were no significant treatment differences between resistance exercise and stretching. However, compared with the control treatment, resistance exercise and stretching led to significantly greater improvements in Insomnia Severity Index scores (-10.5±2.3, -8.1±2.0 vs. 2.3±1.8, respectively), and actigraphic measures of sleep latency (-7.1±4.6, -5.2±1.9 vs. 2.2±2.1 min), wake after sleep onset (-9.3±2.8, -7.1±3.0 vs. 3.6±4.2 min), and sleep efficiency (4.4±1.8, 5.0±0.8 vs. -2.3±2%). Pittsburgh Sleep Quality Index (PSQI) global scores (-5.3±0.8, -3.9±1.5 vs. -0.1±0.8) and sleep duration (1.2±0.3, 1.6±0.6 vs. -0.1±0.2 h) also improved following both experimental treatments compared with control. PSQI-Sleep efficiency increased after resistance exercise compared with control (19.5±3.9 vs. 2.1±4.3%). No significant differences were observed in polysomnography or quality of life measures. Tension-anxiety was lower in the stretching group than the control group. Conclusion: Moderate-intensity resistance exercise and stretching led to similar improvements in objective and subjective sleep in patients with chronic insomnia. Clinical trial registration: NCT01571115

Effects of resistance exercise training and stretching on chronic insomnia.

OBJECTIVE: The aim of this study was to assess the effects of resistance exercise and stretching on sleep, mood, and quality of life in chronic insomnia patients. METHODS: Three 4-month treatments included: resistance exercise (n=10), stretching (n=10), and control (n=8). Sleep was evaluated with polysomnography, actigraphy, and questionnaires. Mood and quality of life were assessed with the Profile of Mood States (POMS) and the Medical Outcomes Study Short-Form 36-Item Health Survey (SF-36), respectively. RESULTS: There were no significant treatment differences between resistance exercise and stretching. However, compared with the control treatment, resistance exercise and stretching led to significantly greater improvements in Insomnia Severity Index scores (-10.5±2.3, -8.1±2.0 vs. 2.3±1.8, respectively), and actigraphic measures of sleep latency (-7.1±4.6, -5.2±1.9 vs. 2.2±2.1 min), wake after sleep onset (-9.3±2.8, -7.1±3.0 vs. 3.6±4.2 min), and sleep efficiency (4.4±1.8, 5.0±0.8 vs. -2.3±2%). Pittsburgh Sleep Quality Index (PSQI) global scores (-5.3±0.8, -3.9±1.5 vs. -0.1±0.8) and sleep duration (1.2±0.3, 1.6±0.6 vs. -0.1±0.2 h) also improved following both experimental treatments compared with control. PSQI-Sleep efficiency increased after resistance exercise compared with control (19.5±3.9 vs. 2.1±4.3%). No significant differences were observed in polysomnography or quality of life measures. Tension-anxiety was lower in the stretching group than the control group. CONCLUSION: Moderate-intensity resistance exercise and stretching led to similar improvements in objective and subjective sleep in patients with chronic insomnia. CLINICAL TRIAL REGISTRATION: NCT01571115.

Chronotype and anxiety are associated in patients with chronic primary insomnia

Objective: To assess the interaction of chronotype with anxiety in patients with chronic primary insomnia. Methods: Sixty-four patients (50 women) with mean age 43.9±8.1 years were investigated with the Horne and Östberg Morningness-Eveningness Questionnaire (MEQ) and State-Trait Anxiety Inventory (STAI). Results: Significant negative correlations of chronotype-MEQ score with STAI state-anxiety (r = -0.40, p < 0.05), STAI trait-anxiety (r = -0.40, p < 0.05), and STAI pre-sleep state anxiety (r = -0.30, p < 0.05) were observed. Eveningness preference was associated with higher trait, state, and pre-sleep state anxiety. Conclusions: These results suggest that chronotype may be an important parameter to identifying the origin and significance of a vicious anxiety-insomnia-depression cycle in patients with chronic primary insomnia.

Chronotype and anxiety are associated in patients with chronic primary insomnia.

OBJECTIVE:: To assess the interaction of chronotype with anxiety in patients with chronic primary insomnia. METHODS:: Sixty-four patients (50 women) with mean age 43.9±8.1 years were investigated with the Horne and Östberg Morningness-Eveningness Questionnaire (MEQ) and State-Trait Anxiety Inventory (STAI). RESULTS:: Significant negative correlations of chronotype-MEQ score with STAI state-anxiety (r = -0.40, p < 0.05), STAI trait-anxiety (r = -0.40, p < 0.05), and STAI pre-sleep state anxiety (r = -0.30, p < 0.05) were observed. Eveningness preference was associated with higher trait, state, and pre-sleep state anxiety. CONCLUSIONS:: These results suggest that chronotype may be an important parameter to identifying the origin and significance of a vicious anxiety-insomnia-depression cycle in patients with chronic primary insomnia.

Is the six-minute walk test appropriate for detecting changes in cardiorespiratory fitness in healthy elderly men?

OBJECTIVES: The purpose of this study was to determine whether the six-minute walk test (6-MWT) can detect changes in cardiorespiratory fitness (CRF) induced by exercise training in healthy elderly men. DESIGN: Randomized and prospective controlled trial. METHODS: Thirty-two healthy untrained men, between 65 and 75 years of age, were randomly assigned to one of three groups: control (C, n = 12), endurance training (E, n = 10), or concurrent training (ER, n = 10). Training groups underwent 24 weeks of exercise, 3 times a week. All participants were subjected to cardiopulmonary exercise testing and the 6-MWT, before and after the training period. RESULTS: At follow-up, the E and ER groups had significantly higher peak oxygen uptake (VO(2)peak) (15.0 ± 9.1 and 12.6 ± 10.4%, respectively) and 6-MWT distances (5.5 ± 5.3 and 4.6 ± 2.8%, respectively) compared to the C group. In pre-intervention (n = 32), the 6-MWT distance correlated positively with (VO(2)peak) (r = 0.51, p = 0.001) and VO(2) at anaerobic threshold (r = 0.39, p = 0.010). On the other hand, there was no significant correlation between the changes (after-before) in the 6-MWT distance and VO(2) peak (E and ER groups: r = 0.38, p = 0.097). CONCLUSIONS: The 6-MWT is not appropriate to evaluate changes in CRF in healthy elderly men who performed endurance and concurrent training for 24 weeks.

Effect of acute physical exercise on patients with chronic primary insomnia.

STUDY OBJECTIVES: The aim was to assess and to compare the acute effects of three different modalities of physical exercise on sleep pattern of patients with chronic primary insomnia. METHODS: Forty-eight insomnia patients, 38 female (mean age 44.4 +/- 8 y) were randomly assigned to 4 groups: control (CTR, n=12), moderate-intensity aerobic exercise (MAE, n=12), high-intensity aerobic exercise (HAE, n=12), and moderate-intensity resistance exercise (MRE, n=12). The patients were assessed on sleep pattern (by polysomnogram and daily sleep log) and anxiety (STAI) before and after the acute exercise. RESULTS: The polysomnogram data showed reduction in the sleep onset latency (SOL) (55%) and in the total wake time (TWT) (30%); increase in total sleep time (TST) (18%), and in the sleep efficiency (SE) (13%) in the MAE group. The daily sleep log data showed increase in the TST (26%) and reduction in the SOL (39%). In addition, reduction (15%) in anxiety was also observed after moderate-intensity aerobic exercise. CONCLUSIONS: Acute moderate-intensity aerobic exercise appears to reduce pre-sleep anxiety and improve sleep in patients with chronic primary insomnia.

Variação diurna e resposta da cinética do VO2 de ciclistas durante exercício muito intenso / Diurnal variation and Vo2 kinetic response of cyclists during heavy exercise

O objetivo do presente estudo foi avaliar a influência da hora do dia nos parâmetros da cinética do consumo de oxigênio de ciclistas durante exercício muito intenso. Nove voluntários do sexo masculino realizaram exercícios de carga constante às 08:00, 13:00 e 18:00 h, em dias diferentes. Estes exercícios foram realizados duas vezes em cada visita, com um intervalo de 1 h entre eles. A intensidade usada foi de 75 por centoΔ (75 por cento da diferença entre o VO2 no limiar de lactato e o VO2max. A amplitude do componente primário do VO2 (2597 ± 273 ml.min-1, 2513 ± 268 ml.min-1 e 2609 ± 370 ml.min-1), a constante de tempo do componente primário do VO2 (19.3 ± 2.5 s, 18.4 ± 3.0 s e 19.7 ± 3.9 s), o componente lento do VO2 (735 ± 81 ml.min-1, 764 ± 99 ml.min-1 e 680 ± 121 ml.min-1) e o tempo de resposta média (51.8 ± 4.2 s, 51.2 ± 4.2 s e 51.4 ± 3.4 s) não apresentaram diferenças significativas entre os diferentes horários do dia (08:00, 13:00 e 18:00 h), assim como os demais parâmetros da cinética do VO2. Estes resultados sugerem que a resposta da cinética do VO2 de ciclistas durante exercício muito intenso (75 por centoΔ) não é influenciada pela hora do dia.

The objective of the present study was to evaluate the influence of the time of day on the parameters of oxygen uptake kinetics of trained cyclists during high intensity exercise. Nine male volunteers repeated bouts at constant loads at 08:00, 13:00 and 18:00 h on different days. These exercise bouts were performed twice on each occasion, with an interval of 1 h between them. The load intensity used was 75 percentΔ (75 percent of the difference between the VO2 at the lactate threshold and the VO2max). The primary VO2 amplitude (2597 ± 273 ml.min-1, 2513 ± 268 ml.min-1 and 2609 ± 370 ml.min-1), the primary VO2 time constant (19.3 ± 2.5 s, 18.4 ± 3.0 s and 19.7 ± 3.9 s), the VO2 slow component (735 ± 81 ml.min-1, 764 ± 99 ml.min-1 and 680 ± 121 ml.min-1) and the mean response time (51.8 ± 4.2 s, 51.2 ± 4.2 s and 51.4 ± 3.4 s) did not present significant differences at the different times (08:00, 13:00 and 18:00 h), neither did the other parameters of the VO2 kinetics. These results suggest that the response of the VO2 kinetics of cyclists exercising at high intensity (75 percentΔ) is not influenced by the time of day.

Comparação entre diferentes métodos de análise do componente lento do consumo de oxigênio: uma abordagem no domínio muito intenso de exercício / Comparison between different methods of analysis of slow component of oxygen uptake: a view in severe exercise domain

O objetivo do presente estudo foi comparar, em domínio muito intenso de exercício, diferentes técnicas utilizadas para medir a amplitude do componente lento (CL) da cinética do consumo de oxigênio. Dez ciclistas treinados, do gênero masculino [média ± DP (idade: 25 ± 3,6 anos, massa corporal: 67,2 ± 4,5kg, altura: 174,8 ± 6,5cm e VO2max: 62,4 ± 3,1ml.kg¹.min¹)], realizaram duas idênticas transições de carga constante (intensidade de 75 por centodelta: 75 por cento da diferença entre o VO2 no limiar de lactato e o VO2max) em dias diferentes. O CL foi calculado a partir de diferentes métodos: (1) modelo biexponencial [VO2(t) = VO2base + A1 (1 e-(t-TA1/t1)) + A2 (1 e(tTA2/t2))], (2) intervalos predeterminados (o deltaVO26-2: diferença do VO2 entre o segundo e o sexto minuto de exercício e o deltaVO263: diferença do VO2 entre o terceiro e o sexto minuto de exercício) e (3) diferença entre o VO2 obtido no final do exercício e o valor obtido a partir de um ajuste monoexponencial do "componente primário" (tempo predeterminado de 120s) (CL6"CP"). Todos os métodos foram comparados entre si. Os resultados demonstraram significante subestimação do CL obtido pelo método de intervalos predeterminados (deltaVO26-2: 432 ± 126ml.min¹ e deltaVO263: 279 ± 88ml.min¹) quando comparado com o modelo biexponencial (676 ± 136ml.min¹) e ao CL6"CP" [(719 ± 265ml.min¹ (p < 0,05)]. Não houve diferenças significativas entre as outras comparações. Os resultados sugerem que a utilização de tempos predeterminados pode subestimar o CL quando comparado com o modelo biexponencial e com o CL6"CP".

The objective of the present study was to compare in severe exercise domain, different techniques used for measuring the amplitude of the slow component (SC) of oxygen uptake kinetics. Ten trained cyclists, male (age: 25 ± 3.6 years, body mass: 67.2 ± 4.5 kg, height: 174.8 ± 6.5 cm and VO2max: 62.4 ± 3.1 mL.kg¹.min¹), performed two identical bouts transitions at constant load [mean ± SD (intensity 75 percentdelta: 75 percent of the difference between the VO2 lactate threshold and the VO2max)] in different days. The SC was calculated from different methods: (1) bi-exponential model [VO2(t) = VO2base + A1 (1 e(tTA1/t1)) + A2 (1 e(tTA2/t2))], (2) predetermined intervals (deltaVO262: difference between the second min VO2 and the end VO2; deltaVO263: difference between the third min VO2 and the end VO2) and (3) difference between the end VO2 and the value obtained from a mono-exponential adjustment of the "primary component" (predetermined time of 120 s) (SC6"PC"). All the methods were compared among themselves. The results showed a significant underestimation of the SC obtained by method of predetermined intervals (deltaVO262: 432 ± 126 ml.min¹ and deltaVO26-3: 279 ± 88 ml.min-1) when compared with bi-exponential model (676 ± 136 ml.min-1) and SC6-"PC" [(719 ± 265 ml.min-1 (p < 0.05)]. There was not significant difference among the other comparison. The results suggest that the use of predetermined time may underestimate the SC when compared with bi-exponential model and SC6"PC".