Background. Depression is one of the greatest health concerns affecting 350 million people globally. Aromatherapy is a popular CAM intervention chosen by people with depression. Due to the growing popularity of aromatherapy for alleviating depressive symptoms, in‐depth evaluation of the evidence‐based clinical efficacy of aromatherapy is urgently needed. Purpose. This systematic review aims to provide an analysis of the clinical evidence on the efficacy of aromatherapy for depressive symptoms on any type of patients. Methods. A systematic database search was carried out using predefined search terms in 5 databases: AMED, CINHAL, CCRCT, MEDLINE, and PsycINFO. Outcome measures included scales measuring depressive symptoms levels. Results. Twelve randomized controlled trials were included and two administration methods for the aromatherapy intervention including inhaled aromatherapy (5 studies) and massage aromatherapy (7 studies) were identified. Seven studies showed improvement in depressive symptoms. Limitations. The quality of half of the studies included is low, and the administration protocols among the studies varied considerably. Different assessment tools were also employed among the studies. Conclusions. Aromatherapy showed potential to be used as an effective therapeutic option for the relief of depressive symptoms in a wide variety of subjects. Particularly, aromatherapy massage showed to have more beneficial effects than inhalation aromatherapy.

Reduced exercise capacity is common in people with chronic obstructive pulmonary diseases (COPD) and chronic smokers and is suggested to be related to skeletal muscle dysfunction. Previous studies using human muscle biopsies have shown fiber-type shifting in chronic smokers particularly those with COPD. These results, however, are confounded with aging effects because people with COPD tend to be older. In the present study, we implemented an acute 7-day cigarette smoke-exposed model using Sprague-Dawley rats to evaluate early effects of cigarette smoking on soleus muscles. Rats (n = 5 per group) were randomly assigned to either a sham air (SA) or cigarette smoking (CS) groups of three different concentrations of total particulate matters (TPM) (CS_TPM2.5, CS_TPM5, CS_TPM10). Significantly lower percentages of type I and higher type IIa fiber were detected in the soleus muscle in CS groups when compared with SA group. Of these, only CS_TMP10 group exhibited significantly lower citrate synthase activity and higher muscle tumor necrosis factor-α level than that of SA group. Tumor necrosis factor-α level was correlated with the percentage of type I and IIa fibers. However, no significant between-group differences were found in fiber cross-sectional area, physical activities, or lung function assessments. In conclusion, acute smoking may directly trigger the onset of glycolytic fiber type shift in skeletal muscle independent of aging.

The management of Parkinson’s disease (PD) has increasingly focused on innovative technologies, particularly virtual reality (VR), which has emerged as a significant tool for addressing neurological disorders. This bibliometric analysis summarizes current research trends and hotspots regarding VR applications in PD management. A comprehensive search of the Science Citation Index Expanded (SCIE) within the Web of Science Core Collection (WoSCC) identified 475 publications from 2000 to 2024. Key findings indicate a substantial increase in publication output, especially after 2013, driven by technological advancements and investments from major IT companies. Prominent research institutions and scholars from Australia, Israel, Italy, and Spain have led this field, exploring various VR applications for PD patients. The focus of VR therapy research has evolved from primarily addressing freezing of gait (FOG) to a broader range of functional impairments, including balance, postural control, upper limb motor, and cognitive function. This study provides valuable insights into the evolving landscape of clinical research on VR in PD management, highlighting global trends and potential areas for future investigation and application of VR therapies.

Background: Older adults’ utilization of digital health care remains low despite a high demand for regular health services. Easily accessible eHealth interventions designed for older adults are needed. Objective: This study aimed to examine the feasibility and effectiveness of an intergenerational, home-based eHealth literacy intervention package on older adults in Hong Kong. Methods: In this study, 101 older adults (n=64, 63.4% female) with a median age of 80 (IQR 77-85) years received an intergenerational, home-based eHealth literacy intervention package, delivered by trained university student interventionists. The intervention (median 60, IQR 40.8-70 minutes) included personalized guidance on using mobile health apps, QR code scanners and instant messaging, and access to online health information, along with recommendations for physical and mental well-being. Following the intervention, a daily health-coaching message was sent to older adults via WhatsApp for 14 days. eHealth literacy, health, and lifestyle were assessed at baseline and at a 2-week follow-up using paired t tests. Results: Retention rate for the 2-week follow-up was 70.3% (71/101). Compared to baseline, eHealth literacy scores increased by 2.39 points ( P =.11; Cohen d =0.20), and daily smartphone use rose by 0.45 hours ( P =.07; Cohen d =0.05). Participants self-reported increased physical activity (50/71, 70%), more frequent viewing of health videos (43/70, 61%), and improved handwashing practices (39/71, 55%). The intervention achieved a high satisfaction rating of 4.32 out of 5. Conclusions: The intergenerational, home-based eHealth literacy intervention package was feasible and acceptable, showing promise for increasing older adults’ engagement with digital health care resources and promoting healthy behaviors. Future studies should explore longer-term effects and ways to further improve the intervention.

Background: eHealth literacy is important for older adults to be able to seek and evaluate online health information. However, there is a scarcity of large-scale data on their eHealth literacy levels, particularly among the oldest older individuals (aged >75 years) in unique, high-income Asian regions such as Hong Kong. A comprehensive understanding of how eHealth literacy is associated with specific health behaviors, mental well-being, and physical health outcomes in this population is lacking. Objective: This study aims to assess the level of eHealth literacy and its associations with health behaviors and health-related outcomes among older adults in Hong Kong. Methods: We conducted a cross-sectional analysis of baseline data from the Generations Connect Project. This is an ongoing large-scale community-based project, where we trained university students to conduct home visits and assess the health status of older adults (N=6704) in Hong Kong. eHealth literacy was measured using the eHealth Literacy Scale (eHEALS; score: 8‐40). Health behavior measurements included physical activity levels (metabolic equivalent of task minutes per week) and smoking, drinking, and eating habits. Mental well-being was measured using the World Health Organization-Five Well-Being Index (percentage score: 0‐100) and UCLA 3-item Loneliness Scale (score: 3‐9). Physical health was assessed on the basis of self-reported medical diagnosis of noncommunicable diseases (yes/no), including hypertension, diabetes, cardiovascular disease, and stroke. Adjusted unstandardized coefficients (b) and odds ratios (ORs) were calculated to determine the associations between variables. Results: Among the 6704 participants (mean age 77.8, SD 7.0 years), the mean eHEALS score was 18.2 (SD 10.2), and 44.1% (2897/6566) of the participants had inadequate eHealth literacy (score: 8‐15.99). Increasing age (adjusted b −0.32, 95% CI −0.35 to −0.28; P <.001), support from the Comprehensive Social Security Assistance Scheme (adjusted b −1.49, 95% CI −2.04 to −0.95; P <.001), and living in public housing (adjusted b −1.60, 95% CI −2.69 to −0.50; P =.004) were associated with a lower eHEALS score. Participants with moderate eHealth literacy (score: 24‐31.99) were less likely to be current smokers (adjusted OR 0.60, 95% CI 0.38-0.95; P =.04), more physically active (adjusted b 39.83, 95% CI 2.04-77.62; P =.04), more likely to be community health center members (adjusted OR 1.52, 95% CI 1.30-1.77; P <.001) and to have healthy diets (adjusted b 0.034, 95% CI 0.006-0.063; P =.04), and less likely to have a medical diagnosis of diabetes (adjusted OR 0.73, 95% CI 0.62-0.85; P <.001). Moreover, they had a higher score on the World Health Organization-Five Well-being Index (adjusted b 2.89, 95% CI 1.42-4.36; P <.001) and a lower score on the UCLA 3-item Loneliness Scale (adjusted b −0.26, 95% CI −0.37 to −0.15; P <.001). Conclusions: The level of eHealth literacy was low among older adults in Hong Kong. eHealth literacy was associated with positive health behaviors and health-related outcomes. Interventions are warranted to boost their eHealth literacy in the future.

Aims: To evaluate the effectiveness of mobile smoking cessation (SC) treatment with 1‐week nicotine replacement therapy (NRT) sampling on recruitment and quitting outcomes. Design: Two‐arm cluster RCT (1:1 ratio), single‐blinded, at 244 recruitment sessions in Hong Kong outdoor smoking hotspots from October 2018–December 2019. Setting: Participant were recruited by ambassadors and treated at the mobile SC truck. Participants: 834 adult (≥18 years, male 81.3%) daily smokers, Chinese‐speaking, non‐NRT users in the past month, consented after nurse‐led intervention in mobile SC truck were randomized to the experimental (n = 482 male 79.5%) and the control group (n = 352, male 83.8%). Intervention and comparator: The experimental group received a 1‐week free NRT sample, an NRT instruction card, and mobile SC treatment including onsite nurse‐led brief medication advice (about 15 minutes) and referral to SC clinics. The control group received the same mobile SC treatment. Measurements: Primary outcome was self‐reported quit attempts at 1‐month follow‐up. Secondary outcomes included SC service use at 1 month, and biochemically validated abstinence (exhaled carbon monoxide < 4 ppm; or saliva cotinine < 10 ng/ml) at 6‐month follow‐up. Additionally, a post‐hoc cost analysis was conducted. Findings: By intention‐to‐treat, the two groups showed similar prevalence of quit attempts (44·4% versus 43·5%, risk ratio (RR) = 1·04, 95% confidence interval (CI) = 0·79–1·37, P = 0·79). Compared with the control group, the experimental group showed lower SC service use at clinics (32·4% versus 44·9%, RR = 0·72, 95%CI = 0·57–0·91, P = 0·006), but no significant difference in validated abstinence (4·6% versus 2·8%, RR = 1·64, 95%CI = 0·76–3·50, P = 0·21). The experimental recruitment sessions recruited more smokers for onsite medication advice than the control session (mean 6·7 vs 5·0, adjusted incident rate ratio = 1·30, 95%CI = 1·08–1·56, P = 0·005). Conclusions: Mobile smoking cessation treatment with 1‐week nicotine replacement therapy sampling did not increase quit attempts or abstinence outcomes among recruited daily smokers in Hong Kong. The intervention increased smokers' uptake of onsite medication advice but reduced subsequent smoking cessation service use at clinics.