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Implementing a novel digital health platform for self-management of postmenopausal osteoporosis: A qualitative study of user experiences, perspectives and implementation outcomes.

BACKGROUND: Osteoporosis self-management requires scalable support, and digital health platforms may meet this need. This study aimed to characterise the experiences and perspectives of postmenopausal women who participated in a 12-month randomised controlled trial (RCT) of a digital voice assistant (DVA) delivered osteoporosis self-management intervention, and to assess key implementation outcomes. METHODS: This was a qualitative analysis of interviews with postmenopausal women from the intervention arm (DVA group) of the RCT. The DVA program broadcast education videos, medication reminders, home-based exercise, nutrition advice and monthly quizzes through a DVA device. Semi-structured interviews were recorded, transcribed and managed in NVivo through reflexive thematic analysis, guided by the Practical Planning for Implementation and Scale-Up and Proctor's implementation outcome taxonomy frameworks. Evidence weighting summarised participant coverage and code density. RESULTS: Twenty-two of 25 (88%) DVA group participants completed semi-structured interviews. Thematic analysis identified seven themes mapped to Proctor's implementation outcomes. Evidence weighting indicated strong support for the intervention's appropriateness and acceptability, moderate support for its adoption, fidelity, feasibility and sustainability, and limited support for costs. Participants valued clear audiovisual guidance, conversation-based interactions with natural language, and flexible home-based access to self-management. CONCLUSION: Digital health platforms for osteoporosis self-management appear feasible, acceptable and sustainable among postmenopausal women. Findings indicate that these platforms are approaching readiness for evaluation in implementation-focused settings, contingent on streamlined content, reliable delivery modalities, accessible user support, clear privacy regulations and pragmatic pricing models.

Humans

Effects of aromatherapy on menopausal symptoms: a systematic review and meta-analysis.

BACKGROUND: The postmenopausal period presents a significant challenge to women's health, characterised by vasomotor, psychological, and sleep disturbances. This systematic review and meta-analysis synthesised evidence on aromatherapy for menopausal symptoms. METHODS: We searched Cochrane Library, Web of Science, ScienceDirect, PubMed, Scopus, SID, and Google Scholar until January 2, 2026. The protocol was registered (PROSPERO: CRD420261303084). Randomised controlled trials and quasi-experimental studies were included. The Cochrane Risk of Bias tool and GRADE approach were used for quality assessment and certainty of evidence. Meta-analyses were performed using RevMan 5.3. RESULTS: Of 4435 records, 21 articles from 17 studies (n = 1347) were included. Aromatherapy significantly improved sexual function (MD: 7.05, 95% CI: 3.64-10.45), sleep quality (MD: -3.95, 95% CI: -5.94 to -1.97), overall menopausal symptoms (SMD: -1.00, 95% CI: -1.43 to -0.58), vasomotor symptoms (SMD: -0.79, 95% CI: -1.11 to -0.47), physical symptoms (SMD: -0.78, 95% CI: -1.10 to -0.46), somatic symptoms (MD: -1.34, 95% CI: -2.46 to -0.23), psychological symptoms (SMD: -0.59, 95% CI: -0.96 to -0.23), anxiety (SMD: -0.63, 95% CI: -1.10 to -0.16), and depression (SMD: -0.57, 95% CI: -0.85 to -0.28). No significant effect was found for urogenital symptoms. GRADE certainty was 'Very Low' for sexual function and sleep quality, and 'Low' for other outcomes. CONCLUSIONS: Preliminary evidence suggests that aromatherapy may be a beneficial complementary therapy for alleviating some menopausal symptoms. However, given the substantial heterogeneity, methodological limitations, and limited number of studies for subgroup analyses, firm clinical recommendations cannot be made at this time. More rigorous, large-scale, multi-centre randomised controlled trials with standardised interventions and consistent adverse event reporting are required before definitive clinical recommendations can be made.

Humans

Acute mild cold exposure with shivering reduces 24 h glucose levels in individuals with type 2 diabetes but not prediabetes.

AIMS/HYPOTHESIS: Repeated cold exposure with shivering has been proposed as a potential strategy to enhance glucose metabolism by increasing energy expenditure and substrate utilisation. However, acute effects/benefits of cold-induced shivering on glucose homeostasis in metabolically compromised individuals are unknown. Here, we aimed to determine whether cold exposure at two different intensities improves 24 h glucose homeostasis in individuals with prediabetes and type 2 diabetes. METHODS: In a randomised crossover trial conducted in the South Limburg/Maastricht region of the Netherlands, men and postmenopausal women with prediabetes (n=12) and stable type 2 diabetes (n=12), aged 40-75 years, body mass index &#x2265;27 and &#x2264;35 kg/m2, non-smoking and sedentary, underwent two whole-body cold exposure sessions using a water-perfused suit. Session order was randomised using an online randomisation tool (randomizer.org); participants were masked to the cold exposure intensity received, but investigators were not. Sessions were designed to elicit ~1.5-fold (mild, 15&#xb0;C) and ~2.5-fold (moderate, 4&#xb0;C) increases in resting metabolic rate (RMR). Continuous glucose monitoring assessed interstitial glucose concentrations over 24 h periods before and after each intervention, with controlled diet and activity. Shivering was confirmed via indirect calorimetry and electromyography. RESULTS: In both study groups and periods, RMR increased significantly vs baseline (p<0.001 for all). In prediabetes, the increase in the final 1 h of cold was 1.53&#xa0;&#xd7;&#xa0;RMR in mild and 1.94&#xa0;&#xd7;&#xa0;RMR in moderate cold. In type 2 diabetes, the increase was 1.57&#xa0;&#xd7;&#xa0;RMR and 2.09&#xa0;&#xd7;&#xa0;RMR in the final 1 h of mild and moderate cold, respectively. In prediabetes, neither mild nor moderate cold exposure altered mean 24 h glucose levels. In contrast, after mild cold exposure the type 2 diabetes group exhibited a significant reduction in mean 24 h glucose levels (-0.6&#xa0;&#xb1;&#xa0;0.5 mmol/l, p=0.003) and fasting glucose (-0.6&#xa0;&#xb1;&#xa0;0.8 mmol/l, p=0.019), as well as an increase in time in normal range (+8.8&#xa0;&#xb1;&#xa0;10.3%, p=0.013) and reduced time in hyperglycaemia (-10.9&#xa0;&#xb1;&#xa0;12.9%, p=0.014). Moderate cold did not significantly affect any of the glucose outcomes in type 2 diabetes. Baseline fasting glucose, age and ALT levels were predictors of the glucose-lowering response, suggesting greater benefits in individuals who have higher baseline glucose levels, are younger and/or have more optimal liver health, i.e. lower ALT. CONCLUSIONS/INTERPRETATION: Acute mild cold exposure with shivering reduced 24 h glucose levels in individuals with type 2 diabetes. No changes were observed in prediabetes. The observed effects appear to depend on baseline metabolic status rather than acute substrate utilisation during cold exposure. These findings support the potential of cold exposure as an adjunct non-pharmacological therapy for type 2 diabetes, although further mechanistic studies and validation in larger cohorts are warranted. TRIAL REGISTRATION: ClinicalTrials.gov NCT05576025 FUNDING: Dutch Organisation for Knowledge and Innovation in Health, Healthcare and Well-being (ZonMw): 09120012010062.

Humans