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Impact of Mānuka Honey on Symptoms and Quality of Life in Individuals With Functional Dyspepsia: Protocol for a Feasibility Randomized Controlled Trial

Impact of Mānuka Honey on Symptoms and Quality of Life in Individuals With Functional Dyspepsia: Protocol for a Feasibility Randomized Controlled Trial

The data files were stored in Microsoft Excel for raw data and as data analysis files in R (version 4.3.2, R Foundation for Statistical Computing), Stata (version 18.0, Stata Corp), or SPSS (version 29, IBM Corp). These data were only identified by the unique identification of the participant. Participants were identified by researchers only by their unique identification.

Laura Ombasa, Jody Miller, Lara Ware, Holly Abbotts-Holmes, Jeffry Tang, Olivier Gasser, Karl Fraser, Simone Bayer, Roslyn Kemp, Rory Costello, Andrew Highton, Jackie Evans, Troy Merry, Michael Schultz, Chris Frampton, Richard Gearry, Warren McNabb, Nicole Roy

JMIR Res Protoc 2025;14:e66417

Frailty, Fitness, and Quality of Life Outcomes of a Healthy and Productive Aging Program (GrandMove) for Older Adults With Frailty or Prefrailty: Cluster Randomized Controlled Trial

Frailty, Fitness, and Quality of Life Outcomes of a Healthy and Productive Aging Program (GrandMove) for Older Adults With Frailty or Prefrailty: Cluster Randomized Controlled Trial

To examine the effectiveness of 6-month aerobic or resistance training, outcomes in the A-R-E group and R-A-E group were compared to the E-R-A group. To investigate the order effect in aerobic and resistance training, we compared 12-month outcomes between the R-A-E group and the A-R-E group (reference group). To evaluate the maintenance of exercise effect and habit formation, we compared the outcomes including the level of physical activity between groups at 18 months.

Jennifer Yee Man Tang, Hao Luo, Michael Tse, Joseph Kwan, Angela Yee Man Leung, Teresa Bik-kwan Tsien Wong, Terry Yat Sang Lum, Gloria Hoi Yan Wong

JMIR Aging 2025;8:e65636

Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care

Combining Artificial Intelligence and Human Support in Mental Health: Digital Intervention With Comparable Effectiveness to Human-Delivered Care

Propensity matching was conducted using the Match IT package [52] in R (R Foundation) with the “nearest neighbor” methodology (average treatment effect in treated patients), matching for propensity score on a one-to-one ratio. Comparator groups showed high similarity with the digital program sample (see Table S2 in Multimedia Appendix 1).

Clare E Palmer, Emily Marshall, Edward Millgate, Graham Warren, Michael Ewbank, Elisa Cooper, Samantha Lawes, Alastair Smith, Chris Hutchins-Joss, Jessica Young, Malika Bouazzaoui, Morad Margoum, Sandra Healey, Louise Marshall, Shaun Mehew, Ronan Cummins, Valentin Tablan, Ana Catarino, Andrew E Welchman, Andrew D Blackwell

J Med Internet Res 2025;27:e69351