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Time of the day of exercise impact on cardiovascular disease risk factors in adults: a systematic review and meta-analysis.
Sevilla-Lorente, R, Carneiro-Barrera, A, Molina-Garcia, P, Ruiz, JR, Amaro-Gahete, FJ
Journal of science and medicine in sport. 2023;26(3):169-179
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In humans, shifted sleep patterns seem to interfere with several metabolic pathways. Shift work, short sleep duration, exposure to artificial light, inadequate eating time window, and lack of physical activity, are some characteristics of the modern lifestyle that contributes to the occurrence and worsening of cardiovascular disease (CVD). The aim of this study was to analyse the time of the day of exercise-induced effects on CVD risk factors in adults. This study was a systematic review and meta-analysis of twenty-two studies. Results showed that exercise produces an acute reduction of systolic blood pressure independently of the time of the day at which it is performed. Similarly, exercise produces an acute increase in blood glucose independently of the time of the day. Authors concluded that further research is needed to establish whether there is a diurnal variation of exercise on cardiovascular health and how it is related to health status, sex, or the type of exercise.
Abstract
OBJECTIVES To compare the effect of a single bout of morning vs. evening exercise on cardiovascular risk factors in adults. DESIGN Systematic review and meta-analysis. METHODS A systematic search of studies was conducted using PubMed and Web of Science from inception to June 2022. Selected studies accomplished the following criteria: crossover design, acute effect of exercise, blood pressure, blood glucose, and/or blood lipids as the study's endpoint, a washout period of at least 24 h, and adults. Meta-analysis was performed by analyzing: 1) separated effect of morning and evening exercise (pre vs. post); and 2) comparison between morning and evening exercise. RESULTS A total of 11 studies were included for systolic and diastolic blood pressure and 10 studies for blood glucose. Meta-analysis revealed no significant difference between morning vs. evening exercise for systolic blood pressure (g ∆ = 0.02), diastolic blood pressure (g ∆ = 0.01), or blood glucose (g ∆ = 0.15). Analysis of moderator variables (age, BMI, sex, health status, intensity and duration of exercise, and hour within the morning or evening) showed no significant morning vs. evening effect. CONCLUSIONS Overall, we found no influence of the time of the day on the acute effect of exercise on blood pressure neither on blood glucose.
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Effect of menstrual cycle on resting metabolism: A systematic review and meta-analysis.
Benton, MJ, Hutchins, AM, Dawes, JJ
PloS one. 2020;15(7):e0236025
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Resting metabolic rate (RMR) plays a key role in energy balance and weight management. For more than 20 years, researchers have controlled for menstrual cycle fluctuations when designing studies that require measurement of RMR in young women. In fact, data regarding the influence of menstrual cycle on metabolism are inconsistent. The aim of this study was to systematically review and analyse existing research to determine whether the menstrual cycle influences RMR in women. This study is a systematic review and meta-analysis of thirty studies. Results show that when all studies were considered, the menstrual cycle exerted a small, but statistically significant effect on RMR in women. Specifically, RMR was found to be greater during the luteal phase compared to the follicular phase. However, when only larger studies (of more than 10 women) were considered, the effect of the menstrual cycle was slightly reduced, and when only studies published since 2000 were considered, the effect was even smaller and no longer significant. Authors conclude that researchers should be aware of the potential confounding influence of the menstrual cycle and control for it by testing consistently in one phase of the cycle when measuring RMR in premenopausal women.
Abstract
BACKGROUND The need to control for the potential influence of menstrual cycle phase on resting metabolism (RMR) places a burden on research participants who must self-report onset of menstruation and researchers who must schedule metabolic testing accordingly. PURPOSE To systematically review and analyze existing research to determine the effect of menstrual cycle on RMR. METHODS We searched PubMed, CINAHL, MEDLINE, SPORTDiscus, and Scopus databases using the search terms "menstrual cycle and metabolic rate" and "menstrual cycle and energy expenditure." Eligibility criteria were English language, single-group repeated measures design, and RMR as either a primary or secondary outcome. Risk of bias was assessed based on study sample, measurement, and control of confounders. Differences between the follicular and luteal phases of the menstrual cycle were analyzed using the standardized mean difference in effect size. RESULTS Thirty English-language studies published between 1930 and December 2019 were included in the systematic review, and 26 studies involving 318 women were included in the meta-analysis. Overall, there was a small but significant effect favoring increased RMR in the luteal phase (ES = 0.33; 95% CI = 0.17, 0.49, p < 0.001). DISCUSSION Limitations include risk of bias regarding measurement of both menstrual cycle and RMR. Sample sizes were small and studies did not report control of potential confounders. Sub-group analysis demonstrated that in more recent studies published since 2000, the effect of menstrual phase was reduced and not statistically significant (ES = 0.23; 95% CI = -0.00, 0.47; p = 0.055). Until larger and better designed studies are available, based on our current findings, researchers should be aware of the potential confounding influence of the menstrual cycle and control for it by testing consistently in one phase of the cycle when measuring RMR in pre-menopausal women.
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Yoga for anxiety: A systematic review and meta-analysis of randomized controlled trials.
Cramer, H, Lauche, R, Anheyer, D, Pilkington, K, de Manincor, M, Dobos, G, Ward, L
Depression and anxiety. 2018;35(9):830-843
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While temporary anxiety is a natural response, excessive and prolonged anxiety can lead to a wide range of physical symptoms and behavior changes. Current treatment options include psychological approaches and medication, however many individuals experiencing anxiety choose to self-manage their condition. Yoga has become a popular approach to improve emotional well-being, and based on a recent study, yoga practitioners have reported managing stress and anxiety as one of the main reasons for practicing. The aim of this meta-analysis was to review the effectiveness and safety of yoga for anxiety. Eight studies with 319 participants were included in this systematic review. Among these studies, no effects were found for patients with anxiety disorders diagnosed by the Diagnostic and Statistical Manual (DSM) criteria, only for patients without a formal diagnosis. Based on these results, the authors conclude yoga may be beneficial in the short-term for individuals with elevated levels of anxiety, however there was no conclusive evidence for individuals when only DSM-diagnosed anxiety disorders were considered. These findings warrant further studies to better understand the connection between mindfulness practices and anxiety.
Abstract
Yoga has become a popular approach to improve emotional health. The aim of this review was to systematically assess and meta-analyze the effectiveness and safety of yoga for anxiety. Medline/PubMed, Scopus, the Cochrane Library, PsycINFO, and IndMED were searched through October 2016 for randomized controlled trials (RCTs) of yoga for individuals with anxiety disorders or elevated levels of anxiety. The primary outcomes were anxiety and remission rates, and secondary outcomes were depression, quality of life, and safety. Risk of bias was assessed using the Cochrane tool. Eight RCTs with 319 participants (mean age: 30.0-38.5 years) were included. Risk of selection bias was unclear for most RCTs. Meta-analyses revealed evidence for small short-term effects of yoga on anxiety compared to no treatment (standardized mean difference [SMD] = -0.43; 95% confidence interval [CI] = -0.74, -0.11; P = .008), and large effects compared to active comparators (SMD = -0.86; 95% CI = -1.56, -0.15; P = .02). Small effects on depression were found compared to no treatment (SMD = -0.35; 95% CI = -0.66, -0.04; P = .03). Effects were robust against potential methodological bias. No effects were found for patients with anxiety disorders diagnosed by Diagnostic and Statistical Manual criteria, only for patients diagnosed by other methods, and for individuals with elevated levels of anxiety without a formal diagnosis. Only three RCTs reported safety-related data but these indicated that yoga was not associated with increased injuries. In conclusion, yoga might be an effective and safe intervention for individuals with elevated levels of anxiety. There was inconclusive evidence for effects of yoga in anxiety disorders. More high-quality studies are needed and are warranted given these preliminary findings and plausible mechanisms of action.
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The cognitive treatment components and therapies of cognitive behavioral therapy for insomnia: A systematic review.
Jansson-Fröjmark, M, Norell-Clarke, A
Sleep medicine reviews. 2018;42:19-36
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Insomnia disorder is characterised by problems getting to sleep at bedtime, periods of being awake, or waking early and not being able to go back to sleep. This leads to problems with daytime functioning (e.g. low energy levels, mood disruptions). Diagnosis requires difficulties for 3 or more nights each week for longer than 3 months. Cognitive behavioural therapy (CBT) is considered a viable treatment for patients with insomnia and usually is made up of elements such as sleep hygiene and relaxation, addressing problematic sleep behaviours, and dealing with unhelpful beliefs. However, the effectiveness of various CBT elements is still in question. This systematic review aims to address this, and is based on 1455 subjects in 32 studies. The review concluded there was support for paradoxical intention: instructing the subject to try to remain awake as long as possible rather than aiming to sleep, and cognitive therapy: to reverse unhelpful beliefs about sleep, sleep-worry, misperceptions of sleep and using safety behaviours. It also found that some cognitive elements appear promising including behavioural experiments: planned activities that help the subject test unhelpful beliefs and cognitive refocusing: getting subjects to focus on non-arousing thoughts such as film plots or by focusing on external things like audiobooks to shift attention. However, more methodologically robust studies are needed.
Abstract
Since the beginning of the twenty-first century, there has been an increased focus on developing and testing cognitive components and therapies for insomnia disorder. The aim of the current review was thus to describe and review the efficacy of cognitive components and therapies for insomnia. A systematic review was conducted on 32 studies (N = 1455 subjects) identified through database searches. Criteria for inclusion required that each study constituted a report of outcome from a cognitive component or therapy, that the study had a group protocol, adult participants with diagnosed insomnia or undiagnosed insomnia symptoms or reported poor sleep, and that the study was published until and including 2016 in English. Each study was systematically reviewed with a standard coding sheet. Several cognitive components, a multi-component cognitive program, and cognitive therapy were identified. It is concluded that there is support for paradoxical intention and cognitive therapy. There are also other cognitive interventions that appears promising, such as cognitive refocusing and behavioral experiments. For most interventions, the study quality was rated as low to moderate. We conclude that several cognitive treatment components and therapies can be viewed as efficacious or promising interventions for patients with insomnia disorder. Methodologically stronger studies are, however, warranted.
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A systematic review and meta-analysis of cognitive and behavioral interventions to improve sleep health in adults without sleep disorders.
Murawski, B, Wade, L, Plotnikoff, RC, Lubans, DR, Duncan, MJ
Sleep medicine reviews. 2018;40:160-169
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Sleep is important for good health but more than a quarter of the adult population reports poor quality sleep. This review and meta-analysis looked at cognitive and behavioural interventions in adults who report poor sleep but are not diagnosed with a clinical sleep disorder. The most commonly used interventions were stress management/relaxation, meditation, controlled breathing and stimulus control. A meta-analysis showed a medium improvement of overall sleep quality and a small but significant improvement of subjective sleep quality and duration with cognitive and behavioural interventions. The effects were bigger when sleep at baseline was worse. Effects of mode of delivery, study duration and the inclusion of a relaxation component were not assessed, due to insufficient numbers. The authors conclude that there is room for improvements of cognitive and behavioural interventions and call for more investigations into this.
Abstract
Many adults without a diagnosed sleep disorder report poor sleep health, which is defined by dissatisfactory levels of sleep duration, sleep quality, or the timing of sleep. No previous review has summarized and described interventions targeting poor sleep health in this population. This meta-analysis aimed to quantify the efficacy of behavioral and cognitive sleep interventions in adults with poor sleep health, who do not have a sleep disorder. Electronic databases (Medline, Embase, PsycInfo, Cinahl) were searched with restrictions for age (18-64 y) and English language full-text, resulting in 18,009 records being screened and 592 full-texts being assessed. Eleven studies met inclusion criteria, seven of which reported a measure of overall sleep health (Pittsburgh sleep quality index [PSQI]). Following appraisal for risk of bias, extracted data were meta-analyzed using random-effects models. Meta-analyses showed interventions had a medium effect on sleep quality (Hedge's g = -0.54, [95% confidence interval (CI)] -0.90 to -0.19, p < 0.01). Baseline sleep health was the only significant effect moderator (p = 0.01). The most frequently used intervention components were stress management and relaxation practice, stimulus control, sleep hygiene, and exercise. Interventions targeting cognitive and behavioral self-regulation improve sleep quality in adults without clinical sleep disorder.