Background: At the workplace, health care workers face multiple challenges in maintaining healthy dietary behaviors, which is the major factor behind obesity. A hospital-wide mass health screening exercise showed an increasing trend in the prevalence of obesity and median BMI from 2004 to 2019, as well as a higher crude obesity rate among shift workers.
Objective: We aimed to evaluate the effectiveness of mobile app-based health coaching and incentives for achieving weight loss from better dietary choices among hospital nurses.
Methods: We conducted a pilot study from June 2019 to March 2020, involving the use of a health-coaching app by 145 hospital nurses over 6 months. Weight and BMI were self-reported, and food scores were calculated. Data among overweight nurses, shift work nurses, and incentive groups were analyzed.
Results: A total of 61 nurses were included in the final analysis. Of these 61 nurses, 38 (62%) lost weight. The median percentage weight loss was 1.2% (IQR 0%-2.9%; P<.001), and the median decrease in BMI was 0.35 (IQR -0.15 to 0.82; P<.001), but they were not clinically significant. The median improvement in the food score was 0.4 (IQR 0-0.8). There was no difference between the incentive and nonincentive groups. A total of 49 (34%) participants engaged for ≥8 weeks.
Conclusions: The study demonstrated an association between the use of app-based health coaching and the attainment of some weight loss in nurses, without a significant improvement in the food score. Incentives may nudge on-boarding, but do not sustain engagement.
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http://dx.doi.org/10.2196/36811 | DOI Listing |
Nutr J
January 2025
Division of Clinical Epidemiology, Department of Medicine Solna, Karolinska Institutet, Eugeniahemmet T2:02, Stockholm, SE-171 76, Sweden.
Background: mHealth, i.e. mobile-health, strategies may be used as a complement to regular care to support healthy dietary habits in primary care patients.
View Article and Find Full Text PDFContemp Clin Trials
December 2024
Butler Hospital and the Department of Psychiatry & Human Behavior, Brown University, 345 Blackstone Boulevard, Suite 2, Providence, RI 02906, United States of America. Electronic address:
Purpose: To develop and evaluate the effectiveness of an asynchronously delivered app, InBloom, for postpartum depression (PPD) prevention relative to an evidence-based synchronously delivered in-person intervention, ROSE (Reach Out, Stay Strong, Essentials for mothers of newborns) for depression and return on investment via a prospective randomized controlled trial and quasi-experimental cohort analyses.
Background: PPD affects 1 in 7 gestational parents in the US, causing emotional distress, consequences for infant development and child adjustment, disruptions in family relationships, and financial burden. ROSE is an evidence-based intervention administered as four in-person group sessions plus one postpartum booster session.
Public Health Nurs
December 2024
Department of Rheumatology and Immunology, Yunnan First People's Hospital, Kunming, Yunnan, People's Republic of China.
Background: Effective disease management is crucial for rheumatoid arthritis (RA) patients as it can significantly reduce disease-associated symptoms. Currently, the utilization of mobile applications for managing RA patients has gained widespread popularity in clinical settings. However, there is a notable absence of a comprehensive meta-analysis exploring their effectiveness specifically in the context of RA patients.
View Article and Find Full Text PDFTransgend Health
December 2024
Department of Epidemiology, Emory University, Atlanta, Georgia, USA.
Purpose: Using a community-engaged approach, we adapted a human immunodeficiency virus (HIV) prevention smartphone app, Transpire, to meet the HIV and sexually transmitted infection (STI) prevention needs of transgender men and other transmasculine people. We conducted a pilot study to assess the feasibility and acceptability of the app among participants in two cities in the southeastern United States.
Methods: Participants were recruited online and through community partners.
BMC Oral Health
December 2024
Department of Oral Surgery, Universidad de Salamanca, Salamanca, 37007, Spain.
Background: Knowing the available dental space in a patient is crucial for orthodontists to develop a good treatment plan.
Objectives: To compare and evaluate the reliability, reproducibility, and accuracy of three measurement methods on models: conventional, mobile app, and digital software.
Materials And Methods: Maxillary and mandibular dental plaster models of 20 subjects with permanent dentition were analyzed.
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