ArticleFrontiers in endocrinology2025
Fear of hypoglycemia: a key predictor of sleep quality among the diabetic population.
Article in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.
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Who cites it
3 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Systematic review of oral carbohydrate treatment for hypoglycemia in people living with type 2 diabetes mellitus.BMC endocrine disorders · 2026Pooled it
- Sleep-AID: a cross-sectional analysis of subjective sleep quality, psychosocial measures and real-world glycemic outcomes in people with diabetes using automated insulin delivery systems.Sleep advances : a journal of the Sleep Research Society · 2026Article
- Systematic Review of Oral Carbohydrate Treatment for Non-Severe Hypoglycemia in Type 1 Diabetes: A Comparison of Insulin Management Systems.Diabetes, metabolic syndrome and obesity : targets and therapy · 2026Review
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Every one in seven people with Type-I or Type-II diabetes suffers from fear of hypoglycemia (FOH). Its impact on quality of life, glycemic control, and health outcomes is well studied. However, its relationship with sleep quality remains underexplored, particularly in developing societies. We hypothesize that FOH is a key predictor of sleep quality in Type-I and Type-II patients with diabetes and, therefore, needs detailed investigation. Methods: A multicentric study was conducted across five cities and six centers of Punjab. Data from 310 diabetes patients were analyzed using the Hypoglycemia Fear Survey-II (HFS-II) Scale and the Pittsburgh Sleep Quality Index (PSQI). Statistical analyses explored subgroup variations, correlations, regression models, and receiver operator curve (ROC) estimation. Results: The study reports 57.70% of patients with poor sleep among whom 47% had elevated FOH. Sleep quality, age, gender, diabetes duration, and insulin route significantly correlated with FOH (p < 0.05), while glycemic control and insulin use did not. Binary logistics regression showed that for every one-unit increase in FOH, the odds of experiencing poor sleep increased by approximately 3.7% ( Conclusion: FOH is a key predictor of sleep quality among patients with diabetes. Healthcare providers should prioritize patient education targeting common FOH concerns and assess patients with disturbed sleep for elevated FOH levels, as it may contribute to sleep disturbances.
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