Background: Suboptimal health status (SHS) is the intermediate health state between health and disease, it is medically undiagnosed and is also termed functional somatic syndrome. Although its clinical manifestations are complicated and various, SHS has not reached the disease status. Unhealthy lifestyle is associated with many chronic diseases and mortality. In accordance with the impact of lifestyle on health, it is intriguing to determine the association between unhealthy lifestyle and SHS risk. Methods: We conducted a nested case-control study among healthy Chinese college students from March 2012 to September 2013, which was nested in a prospective cohort of 5676 students. We performed 1:1 incidence density sampling with matched controls for birth year, sex, grade, specialty and individual character. SHS was evaluated using the medical examination report and Sub-health Measurement Scale V1.0 (SHMS V1.0). Exposure was defined as an unhealthy lifestyle per the frequency of six behavioral dimensions from the Health-promoting Lifestyle Profile (HPLP-II). Results: We matched 543 cases of SHS (42.66%) in a cohort of 1273 students during the 1.5 years mean follow-up time with controls. A significant difference (t = 9.79, p < 0.001) and a reduction in HPLP-II total score was present at 1.5 years follow-up (135.93 ± 17.65) compared to baseline (144.48 ± 18.66). A level-response effect was recorded with an increase of the total HPLP-II (every dimension was correlated with a decreased SHS risk). Compared to respondents with the least exposure (excellent level), those reporting a general HPLP-II level were approximately 2.3 times more likely to develop SHS (odd ratio = 2.333, 95% CI = 1.471 to 3.700); and those with less HPLP-II level (good level) were approximately 1.6 times more likely (1.644, 1.119–2.414) to develop SHS (p < 0.05). Our data indicated that unhealthy lifestyle behavior with respect to behavioral dimensions significantly affected SHS likelihood. Further analyses revealed a marked increase (average increased 14.73 points) in lifestyle level among those SHS regression to health after 1.5 years, with respect to the HPLP-II behavioral dimensions, in addition to the total score (t = -15.34, p < 0.001). Conclusions: SHS is highly attributable to unhealthy lifestyles, and the Int. J. Environ. Res. Public Health 2017, 14, 240 2 of 17 mitigation of modifiable lifestyle risk factors may lead to SHS regression. Increased efforts to modify unhealthy lifestyles are necessary to prevent SHS.

Background: To examine whether stress management mediates the relationship between purpose in life and self-rated health status (SRH). Methods: A cross-sectional survey was conducted among 6840 teachers in 2013 in Guangzhou, China. Purpose in life was assessed through the Purpose in Life Subscale of the Psychological Well-being Scale. Stress management was assessed using the eight-item questionnaire adapted from the Health-promoting Lifestyle Profile II. SRH was assessed by the Suboptimal Health Measurement Scale Version 1.0. The mediation hypothesis was tested by the structural equation model for path analysis. Results: It was found that purpose in life had direct and indirect effects on SRH. The path analysis showed the total effect (β = 0.563) of purpose in life on SRH was comprised of a direct effect (β = 0.319) and an indirect effect (β = 0.244), which was mediated by stress management. Conclusions: By supporting the mediation hypothesis, our results indicate that stress management mediated the effect of purpose in life on SRH. Enhancement of teachers’ purpose in life and improvement of training skills of stress management should be incorporated in the strategy of improving teachers’ health.

Objectives To investigate the patient-reported outcomes (PROs) and acupuncture-related adverse events (A-AEs) in acupuncture randomised controlled trials (RCTs). Design Cross-sectional meta-epidemiological study. Data sources We comprehensively searched for eligible studies between 1 January 2014 and 1 May 2024, in MEDLINE, EMBASE, CENTRAL, CBM, CNKI, Wanfang Data and VIP Database. Eligibility criteria RCTs that used acupuncture as the intervention group to obtain the efficacy and/or safety of acupuncture therapy. Acupuncture therapy should be based on Traditional Medicine theory. Main outcome measures We assessed (1) the general characteristics of acupuncture RCTs; (2) the general characteristics of PROs; (3) the reporting scores of PROs by the Extension of Consolidated Standards of Reporting Trials of Patient-Reported Outcomes (CONSORT PRO Extension); (4) the general characteristic of A-AEs; (5) the incidence of A-AEs. Results We included 476 studies in this study. 296 (62.2%) used PROs as study outcomes, 272 (57.1%) reported safety outcomes. The Visual Analogue Scale (149, 23.7%) and the Pittsburgh Sleep Quality Index (42, 6.7%) were the most common PROs reported. The reporting of PROs was incomplete, with sufficiently reporting scores ranging from 2.7% to 97.6% across the CONSORT PRO Extension. 164 studies reported A-AEs, of which 141 reported specific details, and we found that the OR for the incidence of AEs in the acupuncture group compared to the control group was 1.434 (95% CI 1.148 to 1.793). We identified 1277 reports of A-AEs in eligible studies, predominantly tissue injury (eg, haematoma, bleeding), irritation (eg, pain, post-acupuncture discomfort), with no reports of serious A-AEs. The reporting of A-AEs lacked details on the acquisition methods (15.5%), occurrence time (5.5%), A-AEs’ treatment (18.1%) and A-AEs’ recovery (19.7%). Studies that reported funding, registry information, acupuncturist qualifications and non-significant primary outcomes were associated with the A-AEs’ reporting, and the difference was statistically significant (p≤0.05). Conclusion This study found that the reporting of PROs and A-AEs was insufficient in acupuncture RCTs. Future studies should clarify the clinical significance of using PROs as outcomes and report AEs comprehensively to provide patients with sufficient information on the benefits and harms of acupuncture treatments.

There is a large amount of evidence that selective serotonin reuptake inhibitors (SSRIs) are related to cardiovascular toxicity, which has aroused concern regarding their safety. However, few studies have evaluated the effects of SSRIs on cardiac injury biomarkers, such as creatine kinase (CK) and creatine kinase isoenzyme (CK-MB). The purpose of our study was to determine whether SSRIs elevated CK and CK-MB levels of prior medicated depressive patients (PMDP) compared to first-episode drug-naïve depressive patients (FDDPs). We performed an observational and retrospective study involving 128 patients with major depressive disorder. Patients who had never used any type of antidepressant were designated FDDP; patients who had used only one type of SSRI but were not treated after a recent relapse were designated PMDP. Serum CK and CK-MB levels were measured before and after using SSRIs for a period of time. The duration of current treatment in the FDDP and PMDP groups was 16.200 ± 16.726 weeks and 15.618 ± 16.902 weeks, respectively. After SSRI treatment, levels of serum CK in the PMDP group were significantly higher than in the FDDP group. Univariate ANCOVA results revealed that PMDP was 22.313 times more likely to elevate CK (OR 22.313, 95% CI 9.605–35.022) and 2.615 times more likely to elevate CK-MB (OR 2.615, 95% CI 1.287–3.943) than FDDP. Multivariate ANCOVA revealed an interaction between the group and sex of CK and CK-MB. Further pairwise analysis of the interaction results showed that in female patients, the mean difference (MD) of CK and CK-MB in PMDP was significantly greater than that in FDDP (MD = 33.410, P = 0.000, 95% CI 15.935–50.886; MD = 4.613, P = 0.000, 95% CI 2.846–6.381). Our findings suggest that patients, especially females, who had previously used SSRI antidepressants were more likely to have elevated CK and CK-MB, indicators of myocardial muscle injury. Use of SSRIs should not be assumed to be completely safe and without any cardiovascular risks.

Existing reporting checklists lack the specificity and comprehensiveness required to effectively guide the documentation of acupuncture case reports. Therefore, we developed a reporting guideline tailored specifically for acupuncture case reports, building upon the CAse REport (CARE) statement. A multidisciplinary group of international experts including clinicians, researchers and methodologists was convened to draft the initial checklist in accordance with the methodology recommended by the Enhancing the QUAlity and Transparency Of health Research (EQUATOR) network. Through an extensive literature review and a series of expert interviews, the final CARE for acupuncture checklist comprised of 30 items. 38 experts from diverse disciplines participated in three rounds of modified Delphi surveys to refine and clarify these items. CARE for acupuncture is a comprehensive reporting guideline focused on acupuncture case reports developed with rigorous methodology. We hope that CARE for acupuncture will further guide authors, editors, peer reviewers and readers to enhance the transparency, completeness and accuracy of reporting of case reports in acupuncture.

Background: Most guidelines on insomnia focus more on the treatment of patients after the onset of the illness, with little elaboration on prevention before the onset of the illness. In particular, treatment of insomnia disorder using TCM preventive treatment is rarely mentioned. Therefore, to improve the rehabilitation and quality of life of patients with insomnia disorder and its high-risk groups, the Affiliated TCM Hospital of Guangzhou Medical University and the Institute of Acupuncture and Moxibustion, CACMS have jointly initiated the compilation of the “Practice guideline for TCM preventive treatment of Insomnia disorder”.Methods: The guideline will adhere to the principles outlined in WHO Handbook for Guidelines Development, 2nd Edition by the World Health Organization and the Guidelines for the Development of Traditional Chinese Medicine by the Chinese Society of Traditional Chinese Medicine. The quality of evidence and strength of recommendations will be based on the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) system. The key steps in developing the guideline include: (1) Establishing Guideline Project Group; (2) Conflict of interest management; (3) Research, Selection and Identification of Clinical Questions; (4) Evidence search and evaluation; (5) Quality and grading of evidence; (6) Decision Table for Forming Recommendations; (7) Recommendation Consensus and Determination; (8) Writing the first draft of the guideline; (9) Peer review.Discussion: Based on the theoretical system of “TCM preventive treatment” of Chinese medicine this guideline is to construct a three-tier preventive framework. The development of this guideline can systematically integrate the characteristic techniques of TCM, such as physical identification, emotional regulation, acupuncture and massage, with the evidence-based evidence of modern sleep medicine, and build a new management model.Conclusion: This guideline will serve as an evidence-based reference for standardized TCM preventive treatment methods, promoting the standardization and normative application of TCM preventive treatment in insomnia disorder. Ultimately, this guideline aims to improve the rehabilitation level and life quality of individuals with insomnia disorder and those at high risk of the disease.Clinical trial registration: http://www.guidelines-registry.org/,identifierPREPARE-2023CN517.