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Purpose: Our study aimed to assess the associations of the response patterns during gestational oral glucose tolerance test (OGTT) with postpartum glucose intolerance (PGI) in women with gestational diabetes mellitus (GDM).
Methods: This cohort study included 5348 GDM women who underwent the OGTT both 24-28 weeks during pregnancy and 4-12 weeks postpartum from January 2017 to June 2022. Gestational OGTT response patterns included individual time-point glucose values, glucose response trajectories, and GDM subtypes. PGI was defined as women with postpartum pre-diabetes or diabetes. Cox proportional hazards regression models were used to assess the risks of PGI according to different response patterns.
Results: During a median follow-up of 6.3 weeks post-delivery, 1727 (32.3%) women had PGI. Each time-point OGTT glucose were positively associated with PGI. Four OGTT glucose trajectories were fitted: 515 (9.6%) moderate increase following decrease, 557 (10.4%) sustained low-level increase, 3918 (73.3%) moderate increase following slow decrease, and 358 (6.7%) rapid increase following slow decrease. Compared with women with glucose moderate increase following decrease, those with rapid increase following slow decrease had the highest risk of PGI, followed by those with moderate increase following slow decrease. For GDM subtypes, 442 (8.3%) were isolated fasting hyperglycemia (IFH), 4227 (79.0%) were isolated post-load hyperglycemia (IPH), and 679 (12.7%) were combined hyperglycemia (CH). Compared with women with IFH, CH indicated the highest risk of PGI, followed by IPH.
Conclusions: Our findings indicate that distinct OGTT response patterns are associated with varying risks of PGI in women with GDM.
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http://dx.doi.org/10.1007/s12020-025-04327-3 | DOI Listing |
JMIR Hum Factors
September 2025
Seidenberg School of Computer Science and Information Systems, Pace University, New York City, NY, United States.
Background: As information and communication technologies and artificial intelligence (AI) become deeply integrated into daily life, the focus on users' digital well-being has grown across academic and industrial fields. However, fragmented perspectives and approaches to digital well-being in AI-powered systems hinder a holistic understanding, leaving researchers and practitioners struggling to design truly human-centered AI systems.
Objective: This paper aims to address the fragmentation by synthesizing diverse perspectives and approaches to digital well-being through a systematic literature review.
JMIR Hum Factors
September 2025
Department of Community Health Systems, University of California, San Francisco, School of Nursing, San Francisco, CA, United States.
Background: The COVID-19 pandemic forced the world to quarantine to slow the rate of transmission, causing communities to transition into virtual spaces. Asian American and Pacific Islander communities faced the additional challenge of discrimination that stemmed from racist and xenophobic rhetoric in the media. Limited data exist on technology use among Asian American and Pacific Islander adults during the height of the COVID-19 shelter-in-place period and its effect on their physical and mental health.
View Article and Find Full Text PDFJMIR Hum Factors
September 2025
KK Women's and Children's Hospital, Singapore, Singapore.
Background: Breast cancer treatment, particularly during the perioperative period, is often accompanied by significant psychological distress, including anxiety and uncertainty. Mobile health (mHealth) interventions have emerged as promising tools to provide timely psychosocial support through convenient, flexible, and personalized platforms. While research has explored the use of mHealth in breast cancer prevention, care management, and survivorship, few studies have examined patients' experiences with mobile interventions during the perioperative phase of breast cancer treatment.
View Article and Find Full Text PDFJ Alzheimers Dis
September 2025
Department of Community Health and Health Behavior, University at Buffalo, Buffalo, NY, USA.
BackgroundFear of developing Alzheimer's disease and other dementias could motivate defensive responses to dementia information, including public health messaging, and reduce willingness to undergo screening or diagnostic testing for the disease.ObjectiveWe sought to assess the pervasiveness of dementia information avoidance and test whether it is associated with lower willingness to be screened for dementia. We also tested whether lower generalized self-efficacy is associated with higher dementia information avoidance, as the former might be a point of intervention for decreasing defensive information avoidance.
View Article and Find Full Text PDFCereb Cortex
August 2025
Department of Psychology, University of Lübeck, Ratzeburger Allee 160, Lübeck 23562, Germany.
The human auditory system must distinguish relevant sounds from noise. Severe hearing loss can be treated with cochlear implants (CIs), but how the brain adapts to electrical hearing remains unclear. This study examined adaptation to unilateral CI use in the first and seventh months after CI activation using speech comprehension measures and electroencephalography recordings, both during passive listening and an active spatial listening task.
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