| Literature DB >> 33059981 |
Lawrence Fisher1, William Polonsky2, Adijat Asuni3, Yasmin Jolly3, Danielle Hessler3.
Abstract
AIMS: To describe the effects of the COVID-19 pandemic on adults with T1D or T2D in the U.S.Entities:
Keywords: COVID-19 pandemic; Disease management; Stress; Telemedicine; Type 1 and type 2 diabetes
Mesh:
Substances:
Year: 2020 PMID: 33059981 PMCID: PMC7539933 DOI: 10.1016/j.jdiacomp.2020.107748
Source DB: PubMed Journal: J Diabetes Complications ISSN: 1056-8727 Impact factor: 2.852
Participant characteristics.
| Type 1 diabetes ( | Type 2 diabetes ( | |
|---|---|---|
| Age | 53.37 (15.35) | 64.90 (10.37) |
| Gender | ||
| Male | 27.5% (207) | 33.0% (201) |
| Female | 72.5% (546) | 67.0% (408) |
| Latinx | 5.7% (42) | 7.7% (46) |
| Race | ||
| Non-Hispanic white | 93.4% (678) | 77.1% (460) |
| Black/African American | 1.2% (9) | 6.0% (36) |
| Asian | 2.2% (16) | 9.5% (57) |
| Other or multiracial | 3.2% (23) | 7.4% (44) |
| Education | ||
| High school or less | 4.3% (33) | 5.9% (36) |
| Some college | 18.2% (138) | 21.2% (131) |
| College degree | 42.7% (323) | 39.0% (241) |
| Graduate degree | 34.9% (264) | 34.0% (210) |
| Live with a spouse/partner | 69.9% (517) | 61.8% (369) |
| Healthcare worker/first responder | 13.5% (102) | 9.4% (57) |
| Time since diagnosis (years) | 30.05 (16.50) | 17.07 (10.30) |
| HbA1c (%) | 6.96 (1.00)(52 mmol/mol) | 7.15 (1.16)(54 mmol/mol) |
| Diabetes medication | ||
| Orals only | – | 37.4% (229) |
| Non-insulin injectable (no insulin) | – | 16.2% (99) |
| Insulin (with or w/out other meds) | 100% (763) | 46.3% (283) |
| Insulin pump use | 77.6% (592) | 6.8% (42) |
| CGM use | 84.7% (646) | 24.6% (152) |
Perceived impact of COVID-19 pandemic on access to care and experience of telehealth.
| Type 1 diabetes (n = 763) | Type 2 diabetes (n = 619) | |
|---|---|---|
| Diabetes appointment status: of those with appointments scheduled since pandemic | ||
| All appts cancelled or postponed | 39.3% (196) | 42.7% (178) |
| ≥ 1 appts switch to telehealth | 43.1% (215) | 37.6% (157) |
| ≥ 1 appts switched to telephone | 24.4% (124) | 24.0% (101) |
| ≥ 1 appts switched to video | 23.0% (117) | 16.1% (67) |
| Telephone appointment experience | ||
| Lower satisfaction | 43.9% (54) | 45.0% (45) |
| No change in satisfaction | 45.5% (56) | 39.0% (39) |
| Higher satisfaction | 10.6% (13) | 16.0% (16) |
| Video appointment experience | ||
| Lower satisfaction | 38.4% (45) | 40.4% (27) |
| No change in satisfaction | 47.9% (56) | 43.3% (29) |
| Higher satisfaction | 13.7% (16) | 16.5% (11) |
| Number reporting access concerns | ||
| Food to maintain usual diet | 30.9% (236) | 35.5% (220) |
| Diabetes supplies | 15.2% (116) | 8.9% (55) |
| Contact with health care team | 11.1% (85) | 9.0% (56) |
| Diabetes medications | 6.6% (50) | 8.6% (53) |
| Labs/tests cancelled or postponed | 30.9% (232) | 31.3% (190) |
Perceived impact of COVID-19 pandemic on general and diabetes-related stress.
| Type 1 diabetes (n = 763) | Type 2 diabetes (n = 619) | |
|---|---|---|
| General stress compared to pre-pandemic | ||
| Lower | 4.5% (34) | 7.0% (43) |
| No change | 8.9% (68) | 14.6% (90) |
| Higher | 86.6% (661) | 78.4% (486) |
| Diabetes related stress compared to pre-pandemic | ||
| Lower | 4.1% (31) | 4.5% (28) |
| No change | 34.1% (260) | 44.3% (274) |
| Higher | 61.8% (472) | 51.2% (317) |
| Concern related employment/finances regarding SARS-COV-2 | ||
| Not concerned | 38.8% (288) | 48.1% (288) |
| Somewhat concerned | 41.5% (308) | 35.4% (212) |
| Very concerned | 19.7% (146) | 16.5% (99) |
| Social isolation compared to pre-SARS-COV-2 | ||
| Not at all | 14.7% (109) | 20.7% (124) |
| A little | 31.9% (237) | 31.6% (189) |
| Somewhat | 29.0% (215) | 27.9% (167) |
| A lot | 24.4% (181) | 19.9% (119) |
Perceived impact of COVID-19 pandemic on diabetes management.
| Type 1 diabetes (n = 763) | Type 2 diabetes (n = 619) | |
|---|---|---|
| Perceived impact on ability to manage diabetes | ||
| Harder to manage | 45.7% (349) | 48.9% (303) |
| No impact | 43.0% (328) | 44.1% (273) |
| Easier to manage | 11.3% (86) | 7.0% (43) |
| Perceived impact on diet | ||
| Eating more | 36.3% (277) | 38.1% (236) |
| Eating the same amount | 40.8% (311) | 35.7% (221) |
| Eating less | 22.9% (175) | 26.2% (162) |
| Perceived impact on exercise | ||
| Exercising less | 51.6% (394) | 57.2% (354) |
| Exercising the same amount | 24.9% (190) | 24.1% (149) |
| Exercising more | 23.5% (179) | 18.7% (116) |
| Perceived impact on medication taking | ||
| Taking medications less regularly | 4.1% (31) | 7.3% (45) |
| No change in medication taking | 87.8% (670) | 83.2% (514) |
| Taking medications more regularly | 8.1% (62) | 9.5% (59) |
| Perceived impact on glucose levels | ||
| More frequent highs (hyperglycemia) | 24.8% (189) | 24.7% (153) |
| More frequent lows (hypoglycemia) | 9.4% (72) | 7.9% (49) |
| More blood glucose variability | 22.5% (172) | 12.6% (78) |
| Glucose check frequency compared to pre-pandemic | ||
| Less often | 3.6% (27) | 10.4% (62) |
| About the same | 85.0% (631) | 77.3% (463) |
| More often | 11.3% (84) | 12.4% (74) |
| Frequency of reviewing glucose results/trends compared to pre-pandemic | ||
| Less often | 8.0% (59) | 14.9% (89) |
| About the same | 79.9% (593) | 76.0% (455) |
| More often | 12.1% (742) | 9.2% (55) |