Stress management in obesity during a thermal spa residential programme (ObesiStress): protocol for a randomised controlled trial study

Association between sleep quality and serum biomarkers among long-term hot spring bathers: a cross-sectional study

Previous studies investigating the influence of hot spring bathing on sleep quality have predominantly focused on the short-term effects through questionnaire surveys without blood collection for biochemical tests. Here, we undertook a comprehensive investigation of the long-term health effects of hot spring bathing among the residents of Hot Spring Village. A total of 140 participants were enrolled, and their demographic characteristics and the patterns of hot spring bathing were obtained via face-to-face interview, and sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI). Moreover, the blood samples of the participants were collected for biomarker detection with the ELISA assay. Logistic regression analysis was applied to evaluate the relationship between sleep quality and serum biomarkers among long-term hot spring bathers. In individuals aged 65 and older, the results demonstrated that hot spring bathing (OR = 0.18, 95%CI: 0.05-0.68), particularly with a length of ≥ 30 min (OR = 0.10, 95%CI: 0.02-0.53) and a frequency of ≥ 3 times/week (OR = 0.07, 95%CI: 0.01-0.32) were significant protective factors for good sleep quality (P < 0.05). Furthermore, reduced TNF-α (OR = 1.03, 95% CI: 1.01-1.06) and increased 5-HT levels (OR = 0.98, 95% CI: 0.97-0.99) were associated with good sleep quality. Interestingly, for the first time, we observed that the TNF-α significantly decreased (P < 0.05) in the bathing group, along with an increasing trend of 5-HT and BDNF. Moreover, among participants in this group who reported good sleep quality, there was a notably significant decrease in TNF-α and an increase in 5-HT levels as well. These findings suggested that long-term hot spring bathing is associated with good sleep quality through the alteration of TNF-α and 5-HT levels, which could be potential biomarkers for future investigation on the health-promoting effects of bathing.

Exploring the relationship between occupational stress, physical activity and sedentary behavior using the Job-Demand-Control Model

Objectives

To study the relationship between the occupational stress model, specifically the Job Demand-Control Model of Karasek, physical activity level and sedentary behavior.

Method

This is a cross-sectional, observational, descriptive study. A self-administered questionnaire was distributed to 100 volunteers working at Clermont Auvergne University. The questionnaire included the Karasek questionnaire and the International Physical Activity Questionnaire.

Results

The results reveal that occupational characteristics play a significant role, with individuals exhibiting high job control showing reduced sitting time and increased physical activity compared to those with low job control. Job strain was associated with increased sitting time and decreased physical activity. Further analysis revealed that being in a state of job strain significantly predicted sitting for more than 7 h per day. Similarly, job strain and isostrain were explanatory factors for having a low to moderate physical activity level. Logistic regression quantified the risks, indicating that sitting for more than 7 h per day increased the risk of job strain by 4.80 times, while high physical activity levels and being male reduced the risk by 79 and 84%, respectively. Job strain also increased the risk of prolonged sitting by 5.06 times and low to moderate physical activity levels by 5.15 times. Additionally, mediation analysis revealed that a substantial portion of the association between sitting time and job strain was mediated by physical activity, and vice versa, emphasizing the interconnected nature of sedentary behavior and physical activity in influencing occupational stress.

Conclusion

The study highlights the impact of sedentary behavior on occupational stress, assessed using Karasek's Job-Demand-Control Model. Despite being less studied, sedentary behavior appears to be a relevant contributor to occupational stress. Furthermore, the results emphasize the significant role of physical activity levels, suggesting that it plays a substantial part in the relationship between sedentary behavior and occupational stress.

Use of immersive virtual reality for stress reduction during botulinum toxin injection for spasticity (RVTOX): a study protocol of a randomised control trial

INTRODUCTION

Botulinum toxin injection is a common way to help reduce spasticity in the body caused by central neurological damage such as cerebral stroke, multiple sclerosis or traumatic brain injury. The pain felt during the injection causes most patients to experience significant stress for further injections, the level of which is variable between patients.Immersive virtual reality is a digital technique that simulates the three-dimensional spatial and sound environment around a person said to be immersed in this virtualised world. The effectiveness of virtual reality comes from the intensity of this multisensory immersion, known as the feeling of presence (ie, subjective experience of being in one place or one environment, even when you are physically in another one).Only one research article in paediatrics has shown that immersive reality technique has a positive impact on the level of pain and agitation suffered during botulinum toxin injections. The purpose of this study is therefore to evaluate with sufficient assurance the following research hypothesis: virtual reality can help adults cope with the stress and pain of botulinum toxin treatment injection.

METHODS AND ANALYSIS

The research hypothesis will be tested using a randomised stepped-wedge method versus a non-invasive technique (headset with virtual reality session) to its control (headset with no image nor audio).The design leads to considering the injection as a statistical unit as all participants will undergo the standard condition, the control technique and virtual reality technique.

ETHICS AND DISSEMINATION

Patients will be fully and fairly informed in terms of their understanding of the objectives and constraints of the study and the possible risks involved. They will also be entitled to refuse the study and/or withdraw, and this refusal will have no impact on their follow-up as part of their pathology. Dissemination of the results of this study will be through peer-reviewed publications, and national and international conferences.Ethics were approved by the Comité de Protection des Personnes Nord-Ouest in January 2022.

TRIAL REGISTRATION NUMBER

NCT05364203.

The Impact of Job-Demand-Control-Support on Leptin and Ghrelin as Biomarkers of Stress in Emergency Healthcare Workers

Despite the available literature on the consequences of night shiftwork on stress and food intake, its impact on leptin and ghrelin has never been studied. We previously demonstrated that leptin and ghrelin were biomarkers related to stress, and acute stress-induced a decrease in leptin levels and an increase in ghrelin levels. We performed a prospective observational study to assess the influence of night work, nutrition, and stress on the levels of ghrelin and leptin among emergency healthcare workers (HCWs). We took salivary samples at the beginning of a day shift and/or at the end of a night shift. We also monitored stress using the job demand-control-support model of Karasek. We recorded 24-h food intake during the day shift and the consecutive night shift and during night work and the day before. We included 161 emergency HCWs. Emergency HCWs had a tendency for decreased levels of leptin following the night shift compared to before the dayshift (p = 0.067). Furthermore, the main factors explaining the decrease in leptin levels were an increase in job-demand (coefficient -54.1, 95 CI -99.0 to -0.92) and a decrease in job control (-24.9, -49.5 to -0.29). Despite no significant changes in ghrelin levels between shifts, social support was the main factor explaining the increase in ghrelin (6.12, 0.74 to 11.5). Food intake (kcal) also had a negative impact on leptin levels, in addition to age. Ghrelin levels also decreased with body mass index, while age had the opposite effect. In conclusion, we confirmed that ghrelin and leptin as biomarkers of stress were directly linked to the job demand-control-support model of Karasek, when the main cofounders were considered.

The Negative Impact of Night Shifts on Diet in Emergency Healthcare Workers

Despite the consequences of night-shift work, the diet of night-shift workers has not been widely studied. To date, there are no studies related to food intake among emergency healthcare workers (HCWs). We performed a prospective observational study to assess the influence of night work on the diet of emergency HCWs. We monitored 24-h food intake during a day shift and the consecutive night, and during night work and the daytime beforehand. We analyzed 184 emergency HCWs' food intakes. Emergency HCWs had 14.7% lower (-206 kcal) of their 24-h energy intake during night shifts compared to their day-shift colleagues (1606.7 ± 748.2 vs. 1400.4 ± 708.3 kcal, p = 0.049) and a 16.7% decrease in water consumption (1451.4 ± 496.8 vs. 1208.3 ± 513.9 mL/day, p = 0.010). Compared to day shifts, night-shift had 8.7% lower carbohydrates, 17.6% proteins, and 18.7% lipids. During the night shift the proportion of emergency HCWs who did not drink for 4 h, 8 h and 12 h increased by 20.5%, 17.5%, and 9.1%, respectively. For those who did not eat for 4 h, 8 h and 12 h increased by 46.8%, 27.7%, and 17.7%, respectively. A night shift has a huge negative impact on both the amount and quality of nutrients consumed by emergency healthcare workers.

Characteristics of Body Composition and Lifestyle in Chinese University Students with Normal-Weight Obesity: A Cross-Sectional Study

PURPOSE

Normal weight obesity (NWO), defined as normal body mass index (BMI) and excessive body fat percentage (BF%), has been shown to be associated with a significantly higher risk of developing metabolic syndrome, cardiometabolic dysfunction and with higher mortality. However, there is limited literature regarding the potential associations between NWO and lifestyles. This study aimed to investigate the associations of lifestyles with NWO in Chinese university students.

PARTICIPANTS AND METHODS

A total of 279 university students with normal BMI were recruited and divided into NWO and normal weight non-obesity (NWNO) groups by BF%. Body composition and anthropometrics were measured, and participants were asked to finish the Healthy Lifestyle Scale for University Students (HLSUS) questionnaire.

RESULTS

A total of 26 male (25.5%) and 71 female (40.1%) students were identified as NWO. Compared to NWNO students, body weight, BMI, body fat mass, visceral fat area, waist circumference and hip circumference of NWO students were all significantly higher both in male and female students (P < 0.05). The body fat mass, BF% and visceral fat area were significantly negatively correlated with the total HLSUS, physical exercise behavior, and dietary nutrition behavior scores in NWNO males, NWO and NWNO females (P < 0.05). The risk of NWO was lower in those students with higher scores in physical exercise behavior in both males (OR = 0.298, 95% CI = 0.121~0.733) and females (OR = 0.653, 95% CI = 0.505~0.843), while dietary nutrition behavior (OR = 0.759, 95% CI = 0.584~0.986) and stress management behavior (OR = 0.503, 95% CI = 0.335~0.755) decreased the risk of NWO only in females.

CONCLUSION

The incidence of NWO was high among university students, especially in females, which might be related with unhealthy lifestyles. NWO university students should pay attention to lifestyle adjustments, especially physical exercise, dietary nutrition and stress management, for preventing the health risk in NWO.

Effect of exercise training on heart rate variability in type 2 diabetes mellitus patients: A systematic review and meta-analysis

Background

Cardiac autonomic neuropathy is a common complication of type 2 diabetes mellitus (T2DM), that can be measured through heart rate variability (HRV)–known to be decreased in T2DM. Physical exercise can improve HRV in healthy population, however results are under debate in T2DM. We conducted a systemic review and meta-analysis to assess the effects of physical exercise on HRV in T2DM patients.

Method

PubMed, Cochrane, Embase, and ScienceDirect databases were searched for all studies reporting HRV parameters in T2DM patients before and after exercise training, until September 20th 2020, without limitation to specific years. We conducted random-effects meta-analysis stratified by type of exercise for each of the HRV parameters: RR–intervals (or Normal to Normal intervals–NN), standard deviation of RR intervals (SDNN), percentage of adjacent NN intervals varying by more than 50 milliseconds (pNN50), root mean square of successive RR-intervals differences (RMSSD), total power, Low Frequency (LF), High Frequency (HF) and LF/HF ratio. Sensitivity analyses were computed on studies with the highest quality.

Results

We included 21 studies (9 were randomized) for a total of 523 T2DM patients: 472 had an exercise training and 151 were controls (no exercise). Intervention was endurance (14 studies), resistance (2 studies), endurance combined with resistance (4 studies), and high intensity interval training (HIIT) (4 studies). After exercise training, all HRV parameters improved i.e. an increase in SDNN (effect size = 0.59, 95%CI 0.26 to 0.93), RMSSD (0.62, 0.28 to 0.95), pNN50 (0.62, 0.23 to 1.00), HF (0.58, -0.16 to 0.99), and a decrease in LF (-0.37, -0.69 to -0.05) and LF/HF (-0.52, -0.79 to -0.24). There were no changes in controls. Stratification by type of exercise showed an improvement in most HRV parameters (SDNN, RMSSD, pNN50, LF, HF, LF/HF) after endurance training, whereas mostly LF/HF was improved after both resistance training and HIIT. Supervised training improved most HRV parameters. Duration and frequency of training did not influence the benefits on HRV.

Conclusion

Exercise training improved HRV parameters in T2DM patients which may reflect an improvement in the activity of the autonomic nervous system. The level of proof is the highest for endurance training. Supervised training seemed beneficial.

Classification of typical hot springs and their relationship with health in Guizhou, China

Aim to classify typical hot springs in Guizhou, China and their relevance to health. Assessing geochemical characters of typical hot springs of Guizhou and classifying through hierarchical cluster analysis, an epidemiologic study was conducted to analyze the correlation between hot spring types and health, which showed typical hot springs in Guizhou can be divided into two types, A and B. Type A is rich in fluorine, metasilicic acid, radon components and a large number of essential elements, such as Na, that the human body needs, with trace elements, such as Cr and V, that are essential or possibly essential. Type B is rich in fluorine, metasilicate, strontium components and a large number of essential elements, Ca, Mg, and S, with trace elements, Cu, Mn, Mo, Co, and Ni, that are essential or possibly essential. These hot springs' effects on the health of those bathing in them showed both types were associated with bone and joint diseases. Having bathed in hot springs during the past year was associated with skin symptoms and bone and joint symptoms, and having bathed within the past two weeks was linked to sleep quality and levels of appetite and energy. However, differences do exist between the correlation between the two types and some chronic diseases, with Type A hot springs significantly related to cardiovascular and cerebrovascular diseases and diabetes and Type B to hypertension. This classification of Guizhou's hot springs can guide the future development and use of hot spring physiotherapy.

Ghrelin as a Biomarker of Stress: A Systematic Review and Meta-Analysis

Introduction: Ghrelin is an orexigenic hormone which favors food-seeking behavior and has been postulated to be a biomarker of stress. We conducted a systematic review and meta-analysis on the evolution of ghrelin levels following acute stress. Methods: The PubMed, Cochrane Library, Embase, and ScienceDirect databases were searched for studies reporting ghrelin levels before and after acute stress in humans. Results: We included ten studies for a total of 348 patients. Acute stress (intervention) was always in a laboratory. Acute stress was psychological (Trier Social Stress Test), physical, or mixed (cold pressure test). The overall meta-analysis demonstrated an increase in ghrelin after the stress intervention (ES = 0.21, 95CI 0.09 to 0.34) compared with baseline levels. Stratification by time demonstrated an acute increase in ghrelin levels in the five minutes immediately following the initiation of stress (0.29, 0.10 to 0.48) but without any difference after. Obese individuals had a more significant (ES = 0.51, 95CI 0.18 to 0.84) and prolonged increase in ghrelin levels for up to 45 min compared with non-obese individuals who had a significant increase only five minutes after stress. Moreover, the ghrelin levels increased in response to stress with BMI (coefficient 0.028, 0.01 to 0.49; p = 0.013) and decreased with the time after the stress intervention (coefficient -0.007, −0.014 to −0.001; p = 0.025). Conclusion: Ghrelin is a biomarker of stress, with a short-term increase following acute stress. Obese individuals have both a higher and prolonged response, emphasizing the link between obesity and stress.