OBJECTIVE: Examine the acute hormonal and cytokine responses to free-weight resistance training in trained prepubertal and pubertal male children.
METHODS: Prepubertal (n = 21; age 11.4 ± 1.1 years; Tanner I-II) and pubertal male children (n = 20; age 15.8 ± 0.7 years; Tanner III-V) conducted a moderate-intensity free-weight resistance training program to failure with venous blood sampling before (pre), immediately after (post) and during the recovery phase of the program (post-15,-30 min). Growth hormone (GH), insulin-like growth factor-I (IGF-I), cortisol, testosterone, IL-6, and TNF-α were analyzed in serum samples. Biological maturation was assessed according to the stages of the Tanner scale.
RESULTS: There was a significant time-by-group interaction in IGF-I response (p = 0.044; η2 = 0.209) and testosterone (p < 0.001; η2 = 0.508), indicating a greater change in the pubertal group compared to the prepubertal group. Both groups significantly increased post-exercise GH levels (p < 0.05). Only the prepuberal group significantly increased levels of IL-6 at all post-exercise time points (p < 0.05). Both groups showed a significant (p < 0.05) increase in TNF-α levels compared to resting levels.
CONCLUSIONS: These data suggest that acute testosterone and IGF-I response following resistance training differ between trained prepubertal and pubertal male children. Moderate-intensity resistance training performed to failure may thus have different effects in trained prepubertal and pubertal male children, which should be considered when giving training advice.
BACKGROUND: Clinical trials number: NCT05022992.

This study aims to evaluate the impact of integrating pain nursing with hospice care on the quality of life among patients with advanced lung cancer. This study involving 60 advanced lung cancer patients admitted from January 2022 to January 2023. Participants were randomly assigned to 2 groups: the observation group received a combination of pain nursing and hospice care, while the control group received standard nursing care. The study assessed changes in the numeric rating scale for pain, self-rating anxiety scale (SAS), self-rating depression scale (SDS), cancer fatigue scale (CFS), death attitude, and various quality of life dimensions as measured by the Quality of Life Questionnaire-Core 30. Post-intervention, both groups exhibited reductions in numeric rating scale, SAS, SDS, and CFS scores compared to baseline, with more significant improvements observed in the observation group (P < .05). Additionally, post-intervention scores for death attitude and Quality of Life Questionnaire-Core 30 domains (physical, cognitive, social, role, and emotional functioning, as well as overall health) increased in both groups, with the observation group showing greater improvements than the control group (P < .05). The combination of pain nursing and hospice care significantly reduces pain, anxiety, and depression, decreases cancer-related fatigue, and improves the quality of life and death attitudes in patients with advanced lung cancer, highlighting the benefits of this integrative approach in palliative care settings.

The aims were to determine the relationship(s) between match-play external load and post-match neuromuscular fatigue as latent constructs, the contribution of the specific measured variables to these latent constructs, and how these differ between forwards and backs in elite rugby union. Forty-one elite male rugby union players (22 forwards and 19 backs) from the same international rugby union team were tested, with data included from the 2020 and 2021 international seasons (11 matches; 146 player appearances). Player\'s match-play external loads were quantified using microtechnology (for locomotor activities) and video analysis (for collision actions). Neuromuscular fatigue was quantified using countermovement jump tests on force plates which were conducted ~ 24 to 48 hours pre- and post-match. Partial least squares correlation (PLSC) leave one variable out (LOVO) procedure established the relative variable contribution to both external load (X matrix) and neuromuscular fatigue (Y matrix) constructs. Linear mixed-effects models were then constructed to determine the variance explained by the latent scores applied to the variables representing these constructs. For external load, both locomotor and collision variables were identified for the forwards and the backs, although the identified variables differed between groups. For neuromuscular fatigue, jump height was identified as a high contributor for the forwards and the backs, with concentric impulse and reactive strength index high contributors only for the backs. The explained variance between the external load and neuromuscular fatigue latent constructs at the individual player level was 4.4% and 32.2% in the forwards and the backs models, respectively. This discrepancy may be explained by differences in match-play external loads and/or the specificity of the tests to measure indicators of fatigue. These may differ due to, for example, the activities undertaken in the different positional groups.

UNASSIGNED: The overall aim of the current study was to quantify physical activity levels in inflammatory rheumatic diseases (IRDs) and to explore their role in fatigue.
UNASSIGNED: We conducted a secondary analysis of data from the Lessening the Impact of Fatigue in IRDs (LIFT) trial of the personalized exercise program (PEP) intervention for fatigue. Participants with IRDs were recruited from 2017 to 2019 and the current analysis used fatigue, measured by the Chalder Fatigue Scale (CFS) and the Fatigue Severity Scale (FSS), and accelerometer measured physical activity data collected at baseline and at the 6-month follow-up. Physical activity levels were quantified and associations with fatigue and effects of PEP investigated.
UNASSIGNED: Of the 337 included participants, 195 (68.4%) did not meet the current recommendations for moderate-vigorous physical activity (MVPA). In baseline cross-sectional analysis, many dimensions of physical activity were associated with fatigue. After mutual adjustment, overall physical activity (vector magnitude) was associated with CFS [-0.88 (95% CI -0.12, -1.64)] and distribution of time spent at different activity intensities was associated with FSS [-1.16 (95% CI -2.01, -0.31)]. Relative to usual care, PEP resulted in an increase in upright time, with trends for increases in step count and overall physical activity. People who increased overall physical activity (vector magnitude) more had greater improvements in CFS and FSS, while those who increased step count and MVPA more had greater improvements in FSS.
UNASSIGNED: Increasing physical activity is important for fatigue management in people with IRDs and further work is needed to optimize PEPs to target the symptoms and impact of fatigue.
UNASSIGNED: ClinicalTrials.gov (http://clinicaltrials.gov), NCT03248518.

BACKGROUND: Previous intervention studies among night workers mainly focused on single interventions and found inconclusive evidence for effectiveness. A comprehensive intervention approach that includes individual and environmental components has been argued as important. Gaining insight into contributing factors for the implementation of interventions for night workers and effectiveness is important to distinguish between theory and programme failure.
OBJECTIVE: To evaluate the effects and implementation of the PerfectFit@Night intervention to improve sleep, fatigue and recovery of night workers in healthcare, using the RE-AIM framework, which assesses reach, effectiveness, adoption, implementation and maintenance of interventions.
METHODS: A prospective pre-post study design, with two measurements before and three and six months after the intervention.
METHODS: Twelve different departments of a university hospital in the Netherlands.
METHODS: Healthcare workers working night shifts (n = 210).
METHODS: PerfectFit@Night consisted of environmental (provision of a powernap bed and healthy food, and workshop healthy rostering) and individual elements (e-learning and sleep coaching) and was implemented for three months in a phased manner. Questionnaires, logbooks and interview data were used. Effects of the intervention on sleep, fatigue and recovery were evaluated with mixed-effects models, and implementation factors of reach, adoption, implementation and maintenance were evaluated.
RESULTS: Night shift-related insomnia (-11 %-points, 95 % CI: -19 %, -4 % at three months), need for recovery (β: -2.45, 95 % CI: -4.86, -0.03 at six months) and fatigue (OR: 0.46, 95 % CI: 0.25, 0.86 at six months) decreased significantly after the intervention. No changes were found for subjective sleep quality and sleep duration. Barriers and facilitators for implementation were identified for each intervention element at individual (e.g., dietary preferences), organisational (e.g., responsibilities at work) and workplace levels (e.g., location of power nap bed), and for the intervention itself (e.g., useful information in e-learning). Although satisfaction was high and continuation was preferred, embedding of the intervention in the daily routine was limited. Facilitators for future implementation include a positive attitude towards the intervention, clear guidelines regarding intervention elements, appointment of night workers as ambassadors, and suitable conditions in terms of work demands and for the intervention elements.
CONCLUSIONS: The multi-faceted PerfectFit@Night intervention reduced insomnia, fatigue and need for recovery in night workers in healthcare. The most important facilitators to improve the implementation of PerfectFit@Night exist at the organisational level (e.g., positive attitude within the culture and suitable work demands). Combining effect and implementation evaluation is crucial to identify barriers and facilitators that hamper or enhance intervention effects.
BACKGROUND: The study was registered in the Netherlands Trial Register on 17 January 2021 (trial number NL9224).

OBJECTIVE: Exploring the effect of resilience and self-efficacy in mediating the chain between fatigue and quality of life(QOL) in patients with rheumatoid arthritis (RA).
METHODS: From June 2022 to November 2022, 423 RA patients were chosen by a convenience sample method from two tertiary care facilities in Chengdu, Sichuan Province. General Information Questionnaire, Bristol Multidimensional Scale of Fatigue in Patients with Rheumatoid Arthritis, SF-12 Health Survey Short Form, Chinese version of the ten-item psychological Resilience Scale, and Chinese-language Arthritis Self-Efficacy Scale, an 8-element version, were among the questionnaires used.
RESULTS: In the physical component summary( PCS), self-efficacy, psychological resilience, and self-efficacy were all significantly mediated by fatigue (total effect mediated 8.88%). In the mental component summary (MCS), fatigue (total effect mediated 10.79%), self-efficacy (total effect mediated 8.99%), psychological resilience, and self-efficacy (total effect mediated 2.01%) were all significantly mediated by fatigue.
CONCLUSIONS: Fatigue in RA patients can affect the quality of life both directly and indirectly through the mediating effects of psychological resilience, self-efficacy, and the chain mediating effect of psychological resilience-self-efficacy.

BACKGROUND: Fatigue is considered to have a life-threatening effect on human health and it has been an active field of research in different sectors. Deploying wearable physiological sensors helps to detect the level of fatigue objectively without any concern of bias in subjective assessment and interfering with work.
METHODS: This paper provides an in-depth review of fatigue detection approaches using physiological signals to pinpoint their main achievements, identify research gaps, and recommend avenues for future research. The review results are presented under three headings, including: signal modality, experimental environments, and fatigue detection models. Fatigue detection studies are first divided based on signal modality into uni-modal and multi-modal approaches. Then, the experimental environments utilized for fatigue data collection are critically analyzed. At the end, the machine learning models used for the classification of fatigue state are reviewed.
CONCLUSIONS: The directions for future research are provided based on critical analysis of past studies. Finally, the challenges of objective fatigue detection in the real-world scenario are discussed.

BACKGROUND: People living with HIV (PLWH) often report fatigue even when viral load is suppressed. Obstructive sleep apnea (OSA), which is often associated with fatigue, is common in PLWH, but whether OSA explains fatigue in this population is unknown.
METHODS: Academic university-affiliated HIV and Sleep Medicine Clinics.
METHODS: PLWH, aged 18-65 years, with a body mass index of 20-35 kg/m2 and viral suppression (RNA <200 copies per mL), were recruited to undergo daytime questionnaires, including the Functional Assessment of Chronic Illness Therapy Fatigue Scale and Epworth Sleepiness Scale, 7 days of actigraphy (to determine daily sleep duration and activity amplitude and rhythms), and an in-laboratory polysomnography to assess for the presence and severity of OSA.
RESULTS: Of 120 subjects with evaluable data, 90 (75%) had OSA using the American Academy of Sleep Medicine 3% desaturation or arousal criteria, with an apnea-hypopnea index >5/h. There was no difference in Functional Assessment of Chronic Illness Therapy scores between those with and without OSA, although those with OSA did report more daytime sleepiness as measured using the Epworth Sleepiness Scale. In a multivariable model, predictors of fatigue included more variable daily sleep durations and decreased mean activity counts. Sleepiness was predicted by the presence of OSA.
CONCLUSIONS: OSA was very common in our cohort of PLWH, with those with OSA reporting more sleepiness but not more fatigue. Variability in sleep duration was associated with increased fatigue. Further study is needed to determine if treatment of OSA, or an emphasis on sleep consistency and timing, improves symptoms of fatigue in PLWH.

Human well-being and functioning depend on two fundamental mental states: Relaxation and sleepiness. Relaxation and sleepiness are both assumed to be states of low physiological arousal and negatively correlated. However, it is still unclear how consistent this negative relationship is across different settings and whether it changes before and after an intervention. Here we investigated this intricate relationship between subjective momentary sleepiness and relaxation states by meta-analytically analyzing several data sets from studies using the Relaxation State Questionnaire. We discovered that subjective sleepiness and relaxation were in fact anti-correlated pre-intervention. This anti-correlation provides a quantitative dissociation between sleepiness and relaxation. Thus, even though sleepiness and relaxation both implicate a low arousal level, the two mental states are subjectively experienced in a qualitatively different fashion, and thus reflect distinct underlying constructs. For the post-intervention relationship, this negative correlation could not be consistently found. This indicates that there are aspects of the experimental setting or intervention that introduce changes in the dynamics of the relationship of the two constructs.

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