Prevalence of Long COVID and the Impact on Diabetes Management and Physical Activity Participation in Adults With Type 2 Diabetes: An Australia-wide Cross-sectional Online Survey
Bibliographic record
Abstract
OBJECTIVES: The aim of this research was to understand the prevalence and impact of long COVID on adults with type 2 diabetes (T2D). Specifically, we sought to identify the proportion of adults with T2D who have had COVID-19 and experienced long COVID symptoms. We also explored how these ongoing symptoms impact diabetes management and physical activity participation. METHODS: Our study was carried out using an online survey of adults in Australia with T2D who had confirmed COVID-19 ≥12 weeks before participation. Respondents were asked to report the presence (and severity) of long COVID symptoms, and, for those with long COVID, the impact of their symptoms on diabetes management (blood glucose, body weight) and physical activity participation (activities of daily living, work/study, exercise). RESULTS: Survey responses were provided by 1,046 adults with T2D (median age 61.0 [interquartile range 49.8 to 70.0] years; 56.0% men, 42.1% women, and 1% nonbinary/transgender; median T2D duration 10.0 [5.0 to 18.0] years and median time since COVID-19 infection 33.0 [20.3 to 36.1] weeks). Almost one-third (30%) of respondents reported long COVID symptoms (present ≥12 weeks after most recent infection); 40% of respondents with long COVID symptoms reported a worsening of their diabetes management since their COVID-19 infection, with 29% reporting trouble controlling their blood glucose and 43% reporting a higher body weight. Two-thirds of respondents with ongoing symptoms reported that these symptoms moderately to severely impacted their ability to perform activities of daily living, work, and/or exercise. The majority of those with long COVID reported reducing the frequency, duration, and/or intensity of exercise since their COVID-19 infection, with 36.1% not yet returning to their preinfection exercise levels; 66% cited ongoing symptoms as the primary reason for these limitations. CONCLUSIONS: Physical activity is a crucial component of diabetes management. However, the high prevalence of long COVID is hindering participation in this population, as well as deleteriously impacting diabetes management. Developing strategies to support adults with T2D and long COVID to recommence safe levels of physical activity is of critical importance.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".