| Literature DB >> 35627962 |
Arwa Althumairi1, Entesar Ahmed Al Askari1, Reem S AlOmar2, Arwa Alumran1.
Abstract
The COVID-19 pandemic has disrupted cancer care to a certain degree. There is objective evidence that COVID-19 outbreaks are causing substantial emotional distress among cancer patients regardless of their disease severity. This study aims to measure the levels of psychological distress, depression, and pandemic anxiety among cancer patients in Saudi Arabia during the outbreak of COVID-19 and their impact on patients' cancer treatment plans.Entities:
Keywords: COVID-19; Saudi Arabia; mental health; oncology patients; psycho-oncology; psychology
Year: 2022 PMID: 35627962 PMCID: PMC9141433 DOI: 10.3390/healthcare10050825
Source DB: PubMed Journal: Healthcare (Basel) ISSN: 2227-9032
Relationship between anxiety symptoms and cancer patient sociodemographic characteristics and treatment plans (n = 104).
| Factor | Anxiety Symptoms | ||||
|---|---|---|---|---|---|
| Yes | No | Total | X2 | ||
| N (%) | N (%) | N (%) | |||
| ( | ( | ( | |||
| Age group | |||||
| 19–30 years | 8 (12.5%) | 4 (10.0%) | 12 (11.5%) | 0.169 | 0.919 |
| 31–60 years | 35 (54.7%) | 23 (57.5%) | 58 (55.8%) | ||
| >60 years | 21 (32.8%) | 13 (32.5%) | 34 (32.7%) | ||
| Sex | |||||
| Male | 24 (37.5%) | 18 (45.0%) | 42 (40.4%) | 0.575 | 0.448 |
| Female | 40 (62.5%) | 22 (55.0%) | 62 (59.6%) | ||
| Marital Status | |||||
| Never been married | 47 (73.4%) | 27 (67.5%) | 74 (71.2%) | 0.423 | 0.516 |
| Been married | 17 (26.6%) | 13 (32.5%) | 30 (28.8%) | ||
| Living | |||||
| Without children | 21 (32.8%) | 10 (25.0%) | 31 (29.8%) | 0.718 | 0.397 |
| With children | 43 (67.2%) | 30 (75.0%) | 73 (70.2%) | ||
| Treatment status | |||||
| Undergoing | 38 (59.4%) | 22 (55.0%) | 60 (57.7%) | 0.636 | 0.728 |
| Last 6 months | 9 (14.1%) | 8 (20.0%) | 17 (16.3%) | ||
| More than 6 months | 17 (26.6%) | 10 (25.0%) | 27 (26.0%) | ||
| Type of treatment | |||||
| Chemotherapy | 25 (39.1%) | 18 (45.0%) | 43 (41.3%) | 4.91 | 0.178 |
| Radiotherapy | 7 (10.9%) | 1 (2.5%) | 8 (7.7%) | ||
| Both | 10 (15.6%) | 11 (27.5%) | 21 (20.2%) | ||
| Others | 22 (34.4%) | 10 (25.0%) | 32 (30.8%) | ||
| Treatment disturbance | |||||
| Normal/completed | 35 (54.7%) | 29 (72.5%) | 64 (61.5%) | 3.856 | 0.145 |
| Delayed | 20 (31.3%) | 9 (22.5%) | 29 (27.9%) | ||
| Interrupted | 9 (14.1%) | 2 (5.0%) | 11 (10.6%) | ||
| Chronic conditions | |||||
| Yes | 33 (51.6%) | 26 (65.0%) | 59 (56.7%) | 1.811 | 0.178 |
| No | 31 (48.4%) | 14 (35.0%) | 45 (43.3%) | ||
| Immunosuppressant drugs | |||||
| Yes | 9 (14.1%) | 2 (5.0%) | 11 (10.6%) | 2.137 | 0.144 |
| No/I don’t know | 55 (85.9%) | 38 (95.0%) | 93 (90.4%) | ||
| Mental health disorders | |||||
| Yes | 4 (6.3%) | 3 (7.5%) | 7 (6.7%) | 0.061 | 0.805 |
| No/I don’t know | 60 (93.8%) | 37 (92.5%) | 97 (93.3%) | ||
The p value was calculated using the chi-square test.
Relationship between depression and cancer patient sociodemographic characteristics and treatment plans (n = 104).
| Factor | Depressive Symptoms | ||||
|---|---|---|---|---|---|
| Yes | No | Total | X2 | ||
| N (%) | N (%) | N (%) | |||
| ( | ( | ( | |||
| Age group | |||||
| 19–30 years | 9 (12.3%) | 3 (9.7%) | 12 (11.5%) | 0.177 | 0.915 |
| 31–60 years | 40 (54.8%) | 18 (58.1%) | 58 (55.8%) | ||
| >60 years | 24 (32.9%) | 10 (32.3%) | 34 (32.7%) | ||
| Sex | |||||
| Male | 29 (39.7%) | 13 (41.9%) | 42 (40.4%) | 0.044 | 0.834 |
| Female | 44 (60.3%) | 18 (58.1%) | 62 (59.6%) | ||
| Marital Status | |||||
| Never been married | 55 (75.3%) | 19 (61.3%) | 74 (71.2%) | 2.093 | 0.148 |
| Been married | 18 (24.7%) | 12 (38.7%) | 30 (28.8%) | ||
| Living | |||||
| Without children | 19 (26.0%) | 12 (38.7%) | 31 (29.8%) | 1.673 | 0.196 |
| With children | 54 (74.0%) | 19 (61.3%) | 73 (70.2%) | ||
| Treatment status | |||||
| Undergoing | 41 (56.2%) | 19 (61.3%) | 60 (57.7%) | 5.418 | 0.067 |
| Last 6 months | 9 (12.3%) | 8 (25.8%) | 17 (16.3%) | ||
| More than 6 months | 23 (31.5%) | 4 (12.9%) | 27 (26.0%) | ||
| Type of treatment | |||||
| Chemotherapy | 29 (39.7%) | 14 (45.2%) | 43 (41.3%) | 7.443 | 0.059 |
| Radiotherapy | 3 (4.1%) | 5 (16.1%) | 8 (7.7%) | ||
| Both | 14 (19.2%) | 7 (22.6%) | 21 (20.2%) | ||
| Others | 27 (37.0%) | 5 (16.1%) | 32 (30.8%) | ||
| Treatment disturbance | |||||
| Normal/completed | 48 (65.8%) | 16 (51.6%) | 64 (61.5%) | 1.848 | 0.397 |
| Delayed | 18 (24.7%) | 11 (35.5%) | 29 (27.9%) | ||
| Interrupted | 7 (9.6%) | 04 (12.9%) | 11 (10.6%) | ||
| Chronic conditions | |||||
| Yes | 40 (54.8%) | 19 (61.3%) | 59 (56.7%) | 0.374 | 0.541 |
| No | 33 (45.2%) | 12 (38.7%) | 45 (43.3%) | ||
| Immunosuppressant drugs | |||||
| Yes | 7 (9.6%) | 4 (12.9%) | 11 (10.6%) | 0.253 | 0.615 |
| No/I don’t know | 66 (90.4%) | 27 (87.1%) | 93 (90.4%) | ||
| Mental health disorders | |||||
| Yes | 4 (5.5%) | 3 (9.7%) | 7 (6.7%) | 0.611 | 0.434 |
| No/I don’t know | 69 (94.5%) | 28 (90.3%) | 97 (93.3%) | ||
The p value was calculated using the chi-square test.
Impact of COVID-19 in relation to anxiety (n = 104).
| Factor | Anxiety Symptoms | ||||
|---|---|---|---|---|---|
| Yes | No | Total | X2 | ||
| N (%) | N (%) | N (%) | |||
| ( | ( | ( | |||
| Impact on treatment protocols | |||||
| Yes | 25 (39.1%) | 16 (40.0%) | 41 (39%) | 1.095 | 0.578 |
| Not yet, but I worry it will | 11 (17.2%) | 4 (10.0%) | 15 (14%) | ||
| No | 28 (43.8%) | 20 (50.0%) | 48 (46%) | ||
| Impact details | |||||
| No effect | 39 (60.9%) | 24 (60.0%) | 63 (61%) | 0.117 | 0.99 |
| Delayed treatment | 16 (25.0%) | 11 (27.5%) | 27 (26%) | ||
| Cancelled appointment | 2 (3.1%) | 1 (2.5%) | 3 (3%) | ||
| Stopped treatment | 7 (10.9%) | 4 (10.0%) | 11 (11%) | ||
| Psychological well-being | |||||
| Better than before | 7 (10.9%) | 3 (07.5%) | 10 (10%) | 4.998 | 0.082 |
| Same as before | 21 (32.8%) | 22 (55.0%) | 43 (41%) | ||
| More anxious and stressed than before | 36 (56.3%) | 15 (37.5%) | 51 (49%) | ||
| Feeling isolated | |||||
| Less isolated than before | 4 (6.3%) | 0 | 4 (4%) | 10.427 | 0.005 ** |
| Same as before | 22 (34.4%) | 26 (65.0%) | 48 (46%) | ||
| More isolated than before | 38 (59.4%) | 14 (35.0%) | 52 (50%) | ||
| Source of COVID-19 information * | |||||
| Medical professionals | 37 (57.8%) | 25 (62.5%) | 62 (60%) | 0.225 | 0.636 |
| Social media and websites | 54 (84.4%) | 34 (85.0%) | 88 (85%) | 0.007 | 0.932 |
| Patient support institution | 21 (32.8%) | 11 (27.5%) | 32 (31%) | 0.326 | 0.568 |
| Relatives and friends | 38 (59.4%) | 19 (47.5%) | 57 (55%) | 1.401 | 0.236 |
| Satisfaction about information received | |||||
| Satisfied | 50 (78.1%) | 35 (87.5%) | 85 (82%) | 1.449 | 0.229 |
| Dissatisfied | 14 (21.9%) | 05 (12.5%) | 19 (18%) | ||
| Need more information | |||||
| Yes | 59 (92.2%) | 36 (90.0%) | 45 (43%) | 0.149 | 0.699 |
| No | 5 (7.8%) | 04 (10.0%) | 9 (9%) | ||
* Variable with multiple choice answer. The p value was calculated using the chi-square test. ** Significant at the p < 0.05 level.
Impact of COVID-19 in relation to depression (n = 104).
| Factor | Depression Symptoms | ||||
|---|---|---|---|---|---|
| Yes | No | Total | X2 | ||
| N (%) | N (%) | N (%) | |||
| ( | ( | ( | |||
| Impact on treatment protocols | |||||
| Yes | 24 (32.9%) | 17 (29.0%) | 41 (39%) | 5.556 | 0.062 |
| Not yet, but I worry it will | 10 (13.7%) | 5 (16.1%) | 15 (14%) | ||
| No | 24 (32.9%) | 17 (54.8%) | 48 (46%) | ||
| Impact details | |||||
| No effect | 49 (67.1%) | 14 (45.2%) | 63 (61%) | 5.642 | 0.13 |
| Delayed treatment | 17 (23.3%) | 10 (32.3%) | 27 (26%) | ||
| Cancelled appointment | 1 (1.4%) | 2 (6.5%) | 3 (3%) | ||
| Stopped treatment | 6 (8.2%) | 5 (16.1%) | 11 (11%) | ||
| Psychological well-being | |||||
| Better than before | 8 (11.0%) | 2 (6.5%) | 10 (10%) | 4.237 | 0.12 |
| Same as before | 34 (46.6%) | 9 (29.0%) | 43 (41%) | ||
| More anxious and stressed than before | 31 (42.5%) | 20 (64.5%) | 51 (49%) | ||
| Feeling isolated | |||||
| Less isolated than before | 3 (4.1%) | 1 (3.2%) | 4 (4%) | 1.149 | 0.563 |
| Same as before | 36 (49.3%) | 12 (38.7%) | 48 (46%) | ||
| More isolated than before | 34 (46.6%) | 18 (58.1%) | 52 (50%) | ||
| Source of COVID-19 information * | |||||
| Medical professionals | 47 (64.4%) | 15 (48.4%) | 62 (60%) | 2.313 | 0.128 |
| Social media and websites | 64 (87.7%) | 24 (77.4%) | 88 (85%) | 1.757 | 0.185 |
| Patient support institution | 28 (38.4%) | 4 (12.9%) | 32 (31%) | 6.618 | 0.010 ** |
| Relatives and friends | 43 (58.9%) | 14 (45.2%) | 57 (55%) | 1.659 | 0.198 |
| Satisfaction about information received | |||||
| Satisfied | 61 (83.6%) | 24 (77.4%) | 85 (82%) | 0.55 | 0.458 |
| Dissatisfied | 12 (16.4%) | 07 (22.6%) | 19 (18%) | ||
| Need more information | |||||
| Yes | 67 (91.8%) | 28 (90.3%) | 45 (43%) | 0.059 | 0.809 |
| No | 6 (8.2%) | 3 (9.7%) | 9 (9%) | ||
* Variable with multiple choice answer. The p value was calculated using the chi-square test. ** Significant at the p < 0.05 level.
Regression analysis to determine the factors independently associated with anxiety symptoms and depression (n = 104).
| Anxiety Symptoms | Odds Ratio | 95% CI | |
|---|---|---|---|
| Feeling isolated | |||
|
Same as before | Ref | ||
|
Less isolated than before | 0.000 | 0.000 | 0.999 |
|
More isolated than before | 3.208 | 1.391–7.396 | 0.006 ** |
|
| |||
| Patient support institution as source of COVID-19 information | |||
|
No | Ref | ||
|
Yes | 4.200 | 1.328–13.280 | 0.015 ** |
CI—confidence interval. ** Significant at the p < 0.05 level.