| Literature DB >> 34145689 |
Antonina Mikocka-Walus1, David Skvarc1, Miranda A L van Tilburg2,3,4, Manuel Barreiro-de Acosta5, Floor Bennebroek Evertsz6, Charles N Bernstein7, Johan Burisch8, Nuno Ferreira9, Richard B Gearry10, Lesley A Graff7, Sharon Jedel11, Anna Mokrowiecka12, Andreas Stengel13,14, Simon Knowles15.
Abstract
BACKGROUND: The mental health response to the coronavirus (COVID-19) pandemic-related product shortages in those living with chronic gastrointestinal (GI) disorders has received little attention. We aimed to explore the association between the pandemic-related product shortages and psychological distress in people with GI disorders.Entities:
Keywords: COVID-19; distress; gastrointestinal disorders; product shortages; psychological distress
Mesh:
Year: 2021 PMID: 34145689 PMCID: PMC8420452 DOI: 10.1111/nmo.14198
Source DB: PubMed Journal: Neurogastroenterol Motil ISSN: 1350-1925 Impact factor: 3.960
Sample characteristics
|
| Missing | Mean | Standard deviation | Minimum | Maximum | |
|---|---|---|---|---|---|---|
| Age | 793 | 38 | 49.1 | 16.1 | 18 | 94 |
| Dependents | 569 | 262 | 0.866 | 1.16 | 0 | 9 |
| USD Income | 424 | 407 | 75015 | 84456 | 0 | 1,103,832 |
| Distress | 831 | 0 | 26.9 | 25.4 | 0 | 126 |
| GI disorder activity | 831 | 0 | 36.2 | 16.6 | 15 | 97 |
| Illness perception of GI | 831 | 0 | 5.3 | 1.73 | 1.25 | 9.5 |
| Illness perception of COVID | 831 | 0 | 4.7 | 1.19 | 1.13 | 8.25 |
| Perception of COVID spread | 831 | 0 | 2.54 | 0.865 | 1 | 4 |
| Fear related to COVID scale | 831 | 0 | 26.51 | 8.5 | 9 | 45 |
| Self/familial COVID infection (yes/no) | 34/797 (4.1) | 0 |
Demographic characteristics
| Gender | Counts | % of total | Marital status | Counts | % of total | Nation | Counts | % of total | COVID prevalence rank | Condition | Counts |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Male | 142 | 17.1% | Single | 232 | 27.9% | Australia | 101 | 12.2% | 1 | Celiac disease | 273 |
| Female | 684 | 82.3% | Married | 464 | 55.8% | Austria | 2 | 0.2% | 15 | Colonic inertia | 9 |
| Equally/neither/unsure/prefer not to say | 5 | 0.6% | De facto | 54 | 6.5% | Belgium | 1 | 0.1% | 20 | Diverticular diseases | 54 |
| Widowed | 19 | 2.3% | Brazil | 1 | 0.1% | 13 | Functional dyspepsia | 20 | |||
| Divorced | 50 | 6.0% | Canada | 28 | 3.4% | 3 | Gallstones | 35 | |||
| Separated | 12 | 1.4% | Denmark | 34 | 4.1% | 5 | Gastroparesis | 18 | |||
| England | 313 | 37.7% | 7 | GERD/GORD | 96 | ||||||
| Education levels | Counts | % of Total | Employment levels | Counts | % of Total | France | 1 | 0.1% | 16 | Globus | 5 |
| Elementary to 8th grade | 7 | 0.8% | Full‐time employed | 270 | 32.5% | Germany | 8 | 1.0% | 4 | Hemorrhoids | 74 |
| Some high school, no diploma | 39 | 4.7% | Part‐time employed | 109 | 13.1% | Ireland | 4 | 0.5% | 7 | IBS | 260 |
| High school degree or equivalent (eg, GED) | 84 | 10.1% | Casually employed | 14 | 1.7% | The Netherlands | 38 | 4.6% | 14 | Crohn's disease | 177 |
| Some college credit, no degree | 75 | 9.0% | Other | 49 | 5.9% | New Zealand | 69 | 8.3% | 1 | Ulcerative colitis | 123 |
| Trade/technical/vocational training | 89 | 10.7% | Self‐employed | 49 | 5.9% | Poland | 79 | 9.5% | 11 | Indeterminate colitis | 22 |
| Associate degree (eg, AA, AS) | 39 | 4.7% | Unemployed | 63 | 7.6% | Portugal | 8 | 1.0% | 12 | Other: | 129 |
| Bachelor's degree (eg, BA, BS, BBA) | 279 | 33.6% | Retired | 153 | 18.4% | Romania | 11 | 1.3% | 9 | ||
| Master's degree (eg, MA, MS, MEng, MSW, MBA) | 150 | 18.1% | Pensioner | 48 | 5.8% | Scotland | 32 | 3.9% | 7 | ||
| Professional degree (eg, MD, DDS, JD, DVM) | 36 | 4.3% | Home duties | 38 | 4.6% | Sweden | 4 | 0.5% | 8 | ||
| Doctoral degree (eg, PhD) | 33 | 4.0% | Student | 38 | 4.6% | Switzerland | 1 | 0.1% | 18 | ||
| United States of America | 63 | 7.6% | 19 | ||||||||
| Wales | 16 | 1.9% | 7 | ||||||||
| Spain | 8 | 1.0% | 10 | ||||||||
| Northern Ireland | 4 | 0.5% | 7 | ||||||||
Variable is ranked 1 to 20, with higher values indicative of greater COVID prevalence among the countries reported in the sample.
COVID‐19–related product shortages
| No problem at all | % | Minor problem | % | Moderate problem | % | Serious problem | % | |
|---|---|---|---|---|---|---|---|---|
| Medication | 499 | 67.9% | 170 | 23.1% | 51 | 6.9% | 15 | 2.0% |
| Toilet paper | 501 | 63.7% | 201 | 25.5% | 64 | 8.1% | 21 | 2.7% |
| Food | 352 | 43.8% | 292 | 36.4% | 134 | 16.7% | 25 | 3.1% |
| Pain medication | 566 | 82.4% | 83 | 12.1% | 28 | 4.1% | 10 | 1.5% |
| Non‐medical therapies | 303 | 55.5% | 154 | 28.2% | 59 | 10.8% | 30 | 5.5% |
Univariate correlations
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
| — | |||||||||||||||||
| PARENT/CAREGIVER | 0.006 | — | ||||||||||||||||
| CHRONIC CONDITION | −0.02 | −0.076 | — | |||||||||||||||
| EMPLOYED | 0.034 | 0.208 | −0.146aa | — | ||||||||||||||
| COVID PREVALENCE | −0.023 | −0.009 | −0.001 | −0.033 | — | |||||||||||||
| COVID PERCEPTION OF SPREAD | 0.036 | −0.016 | −0.043 | 0.008 | 0.133 | — | ||||||||||||
| COVID FEAR | 0.307 | −0.047 | 0.076 | −0.075 | 0.077 | 0.203 | — | |||||||||||
| INCOME | −0.076 | 0.106 | −0.147 | 0.199 | −0.067 | −0.009 | −0.054 | — | ||||||||||
| DIARRHEA SEVERITY | 0.29 | 0.003 | −0.062 | −0.059 | 0.057 | 0.052 | 0.16 | −0.062 | — | |||||||||
| COVID INFECTION | −0.093 | −0.011 | 0.028 | −0.036 | 0.001 | 0.007 | 0.025 | 0.016 | −0.061 | — | ||||||||
| IPQ_GI | 0.496 | 0.04 | −0.057 | −0.001 | 0.07 | 0.063 | 0.283 | −0.018 | 0.479 | −0.027 | — | |||||||
|
| 0.458 | 0.037 | 0.033 | 0.023 | −0.03 | 0.14 | 0.572 | −0.063 | 0.157 | −0.133 | 0.385 | — | ||||||
| GSRS_BASE_COVID | 0.484 | 0.014 | 0.025 | −0.026 | 0.034 | 0.069 | 0.249 | −0.081 | 0.676 | −0.051 | 0.653 | 0.288 | — | |||||
| AGE | −0.198 | −0.064 | 0.354 | −0.358 | −0.042 | −0.143 | −0.03 | −0.161 | −0.112 | 0.002 | −0.123 | −0.074 | −0.133 | — | ||||
| MEDICATIONS | 0.219 | 0.013 | 0.041 | 0.039 | 0.022 | 0.081 | 0.222 | 0.044 | 0.161 | −0.024 | 0.248 | 0.175 | 0.24 | −0.12 | — | |||
| TOILET PAPER | 0.171 | −0.041 | 0.028 | 0.046 | −0.191 | 0.03 | 0.122 | 0.006 | 0.048 | −0.031 | 0.105 | 0.172 | 0.163 | −0.135 | 0.283 | — | ||
| FOOD | 0.108 | 0.027 | 0.065 | 0.058 | −0.044 | 0.055 | 0.154 | 0.001 | −0.054 | −0.075 | 0.054 | 0.209 | 0.08 | −0.072 | 0.33 | 0.505 | — | |
| PAIN MEDICATION | 0.175 | 0.003 | −0.004 | 0.054 | 0.05 | 0.077 | 0.15 | −0.015 | 0.088 | −0.008 | 0.162 | 0.122 | 0.191 | −0.079 | 0.517 | 0.227 | 0.319 | — |
| NON‐MEDICATION THERAPIES | 0.211 | 0.056 | 0.055 | −0.028 | −0.047 | 0.063 | 0.168 | −0.009 | 0.06 | −0.064 | 0.162 | 0.201 | 0.21 | −0.004 | 0.352 | 0.201 | 0.312 | 0.365 |
p < 0.05.
p < 0.01.
p < 0.001.
Final regression model of the association between shortages and mental health
| Estimate | SE | T |
| Beta | Lower | Upper | |
|---|---|---|---|---|---|---|---|
| Intercept | −109.364 | 44.593 | −2.452 | 0.016 | |||
| Age | −1.491 | 0.132 | −1.33 | 0.260 | −0.0846 | −0.4098 | 0.112 |
| Income | 0.597 | 1.126 | 0.531 | 0.597 | 0.0375 | −0.10253 | 0.1776 |
| COVID prevalence | 2.776 | 1.900 | 1.461 | 0.147 | 0.0669 | −0.07302 | 0.2068 |
| Perception of COVID spread | 0.442 | 2.037 | 0.217 | 0.829 | 0.0144 | −0.11674 | 0.1455 |
| Employed | −3.913 | 4.154 | −0.942 | 0.348 | −0.0674 | −0.20917 | 0.0743 |
| Chronic condition | 2.997 | 4.078 | 0.735 | 0.464 | 0.0536 | −0.09087 | 0.1981 |
| Parent/caregiver | 3.597 | 3.722 | 0.966 | 0.336 | 0.0650 | −0.06820 | 0.1981 |
| GI disorder activity | 0.270 | 0.185 | 1.458 | 0.147 | 0.1575 | −0.05644 | 0.3715 |
| COVID fear | 2.664 | 1.112 | 2.396 | 0.018 | 0.0205 | −0.14536 | 0.1864 |
| Illness perception of GI | 4.672 | 1.498 | 3.119 | 0.002 | 0.2634 | 0.09613 | 0.4306 |
| Illness perception of COVID | 7.071 | 1.953 | 3.621 | <.001 | 0.3202 | 0.14501 | 0.4953 |
| Diarrhea | 2.446 | 5.226 | 0.468 | 0.641 | 0.0263 | −0.14652 | 0.1991 |
| COVID infection | 4.677 | 11.319 | 0.413 | 0.680 | 0.0288 | −0.10923 | 0.1668 |
| Medication shortages | −18.459 | 9.537 | −1.935 | 0.055 | −0.0534 | −0.23946 | 0.1326 |
| Toilet paper shortages | 20.605 | 5.993 | 3.438 | <.001 | 0.0614 | −0.10923 | 0.2321 |
| Food shortages | −13.495 | 5.620 | −2.401 | 0.018 | −0.0594 | −0.23948 | 0.1208 |
| Pain medication | 34.320 | 14.844 | 2.312 | 0.023 | 0.0267 | −0.16132 | 0.2148 |
| Non‐medical therapies shortages | 1.622 | 2.538 | 0.639 | 0.524 | 0.0483 | −0.10145 | 0.1981 |
| Age × Medications | 0.334 | 0.178 | 1.879 | 0.063 | 0.1339 | −0.00724 | 0.2750 |
| COVID Prevalence × Toilet paper | −2.690 | 0.832 | −3.233 | 0.002 | −0.3191 | −0.51462 | −0.1236 |
| COVID Prevalence × Food | 1.669 | 0.633 | 2.635 | 0.010 | 0.1999 | 0.04962 | 0.3502 |
| COVID Fear × Pain Medications | −1.151 | 0.513 | −2.244 | 0.027 | −0.2259 | −0.42537 | −0.0265 |
| Diarrhea × Pain Medications | −0.903 | 2.344 | −0.385 | 0.701 | −0.0353 | −0.21717 | 0.1465 |
Simple effects for moderations
| Moderator | Estimates | SE | Lower | Upper | Df | T |
|
|---|---|---|---|---|---|---|---|
| COVID Prevalence × Toilet paper | |||||||
| Mean−1·SD | 13.14 | 4.14 | 4.95 | 21.337 | 115 | 3.177 | 0.002 |
| Mean | 2.12 | 2.98 | −3.77 | 8.016 | 115 | 0.713 | 0.477 |
| Mean+1·SD | −8.90 | 4.88 | −18.57 | 0.772 | 115 | −1.823 | 0.071 |
| COVID Prevalence × Food | |||||||
| Mean−1·SD | −8.87 | 4.26 | −17.31 | −0.421 | 115 | −2.080 | 0.040 |
| Mean | −2.03 | 3.11 | −8.19 | 4.129 | 115 | −0.653 | 0.515 |
| Mean+1·SD | 4.81 | 3.82 | −2.77 | 12.381 | 115 | 1.257 | 0.211 |
| COVID Fear × Pain Medication | |||||||
| Mean−1·SD | 0.7610 | 0.342 | 0.0836 | 1.439 | 115 | 2.225 | 0.028 |
| Mean | 0.0634 | 0.259 | −0.4488 | 0.576 | 115 | 0.245 | 0.807 |
| Mean+1·SD | −0.6343 | 0.458 | −1.5420 | 0.273 | 115 | −1.384 | 0.169 |
FIGURE 1Distress and moderation simple slopes