| Literature DB >> 32857287 |
Antonella Sisto1, Flavia Vicinanza1, Dario Tuccinardi2, Mikiko Watanabe3, Ida Francesca Gallo4, Rossella D'Alessio4, Silvia Manfrini5, Livia Quintiliani1.
Abstract
PURPOSE: The COVID-19 pandemic has radically impacted the world lifestyle. Epidemics are well-known to cause mental distress, and patients with a current or past history of obesity are at increased risk for the common presence of psychological comorbidities. This study investigates the psychological impact of the current pandemic in patients participating in a bariatric surgery program.Entities:
Keywords: Anxiety; Bariatric surgery; Covid-19; Depression; Eating behavior; Stress
Year: 2020 PMID: 32857287 PMCID: PMC7453189 DOI: 10.1007/s40519-020-00988-3
Source DB: PubMed Journal: Eat Weight Disord ISSN: 1124-4909 Impact factor: 4.652
General characteristics of the study population
| Age (years) | 45.6 ± 9.62 | |
| Female ( | 379 | 87.3% |
| Marital status ( | ||
| Unmarried | 56 | 13.6% |
| Married | 311 | 68.8% |
| Divorced | 57 | 15.4% |
| Widower | 10 | 2.2% |
| Employment ( | ||
| Unemployed | 50 | 11.5% |
| Employed | 246 | 54.8% |
| Freelance | 55 | 14.1% |
| Housewife | 79 | 18.8% |
| Student | 4 | 1% |
| Social status ( | ||
| Single | 33 | 9.4% |
| Unmarried couple | 309 | 68.4% |
| Parents' family | 45 | 10.6% |
| Others | 47 | 11.6% |
| Bariatric operation status | ||
| Operated | 375 | 86.2% |
Data are expressed in mean SD or number (n) of subjects and %
Populations characteristics upon stratification based on pre- and post-operative status
| Pre-bariatric | Post-bariatric | ||||
|---|---|---|---|---|---|
| 59 | 13.6% | 375 | 86.4% | ||
| Age (years) | 45.39 ± 10.218 | 45.66 ± 9.547 | 0.963 | ||
| Female | 50 | 84.7% | 329 | 87.7% | 0.521 |
| Marital status | |||||
| Unmarried | 10 | 19.3% | 46 | 12.7% | |
| Married | 43 | 72.6% | 268 | 68.2% | |
| Divorced | 2 | 3.4% | 55 | 17.6% | |
| Widower | 4 | 6.8% | 6 | 1.5% | |
| Education | 0.748 | ||||
| Elementary school | 2 | 3.2% | 11 | 3.4% | |
| Secondary School | 18 | 28.2% | 130 | 36.2% | |
| High School | 28 | 49.8% | 179 | 47.0% | |
| University dregree | 10 | 16.9% | 43 | 10.4% | |
| Master and/or Ph.D | 1 | 1.9% | 12 | 2.9% | |
| Employment | 0.076 | ||||
| Unemployed | 5 | 7.6% | 45 | 12.1% | |
| Employed | 42 | 70.7% | 204 | 52.2% | |
| Freelance | 7 | 11.7% | 48 | 14.5% | |
| Housewives | 4 | 8.1% | 75 | 20.5% | |
| Student | 1 | 1.9% | 3 | 0.7% | |
| Social status | 0.904 | ||||
| Single | 5 | 9.1% | 28 | 9.4% | |
| Unmarried couple | 42 | 70.5% | 267 | 68.1% | |
| Parents' family | 7 | 11.4% | 38 | 10.5% | |
| Others | 5 | 9.0% | 42 | 12.0% | |
| Type of surgery | NA | ||||
| Sleeve gastrectomy | NA | 254 | 69.5% | ||
| RYGBP | NA | 94 | 25.0% | ||
| Gastric banding | NA | 22 | 4.2% | ||
| Biliopancreatic diversion | NA | 1 | 0.1% | ||
| SADIS | NA | 4 | 1.1% | ||
| Time from the surgery | |||||
| 1–6 months | NA | 95 | 23.9% | ||
| 6–12 months | NA | 79 | 23.3% | ||
| 1–3 years | NA | 174 | 46.6% | ||
| 3–5 years | NA | 16 | 3.0% | ||
| > 5 years | NA | 11 | 3.2% | ||
Data are expressed in mean SD or number of subjects and %. p is from t student t test for continuous variables or Chi square test/Fisher exact test for ordinal variables. p < 0.05 is considered significant
RYGBP Roux-en-Y Gastric Bypass, SADIS single anastomosis duodeno–ileal bypass with sleeve gastrectomy, NA not applicable
Psychological impact of COVID-19 pandemic upon stratification based on pre- and post-operative status
| Pre-bariatric | Post-bariatric | ||||||
|---|---|---|---|---|---|---|---|
| 59 | 13.8% | 375 | 86.2% | ||||
| DASS Questionnaire | |||||||
| General distress | 1 | 0.15% | 11 | 2.8% | 0.590 | ||
| General distress (score) | 10.12 ± 9.385 | 10.08 ± 9.005 | 0.974 | ||||
| Depression | |||||||
| Depressed subjects | 16 | 21.8% | 99 | 26.8% | 0.875 | ||
| Depression (score) | 3.15 ± 3.624 | 3.06 ± 3.387 | 0.840 | ||||
| Grades of depression | |||||||
| Normal | 43 | 78.2% | 276 | 73.2% | 0.469 | ||
| Medium | 5 | 6.3% | 47 | 11.9% | |||
| Moderate | 9 | 13.3% | 33 | 9.5% | |||
| Severe | 1 | 2.0% | 14 | 4.3% | |||
| Extremely severe | 1 | 0.1% | 5 | 1.0% | |||
| Anxiety | |||||||
| Subjects with anxiety | 16 | 23.5% | 86 | 24.9% | 0.590 | ||
| Anxiety (score) | 2.59 ± 2.755 | 2.30 ± 2.672 | 0.442 | ||||
| Grades of anxiety | |||||||
| Normal | 43 | 76.5% | 289 | 75.1% | 0.724 | ||
| Medium | 9 | 12.3% | 41 | 12.8% | |||
| Moderate | 4 | 7.4% | 20 | 5.7% | |||
| Severe | 1 | 3.2% | 15 | 4.1% | |||
| Extremely severe | 2 | .6% | 10 | 2.3% | |||
| Stress | |||||||
| Subjects with stress | 9 | 12.0% | 73 | 19.3% | 0.519 | ||
| Stress (score) | 4.37 ± 3.859 | 4.72 ± 3.927 | 0.531 | ||||
| Grades of stress | |||||||
| Normal | 50 | 88.0% | 302 | 80.7% | 0.902 | ||
| Medium | 3 | 5.4% | 28 | 7.1% | |||
| Moderate | 3 | 2.8% | 22 | 6.4% | |||
| Severe | 3 | 3.8% | 20 | 4.7% | |||
| Extremely severe | 0 | 0.0% | 3 | 1.1% | |||
| COVID-19 related questionnaire domains | |||||||
| Emotionality | 14.12 ± 5.045 | 13.68 ± 5.128 | 0.426 | ||||
| Resilience | 21.42 ± 4.178 | 21.63 ± 4.263 | 0.672 | ||||
| Eating related | 10.68 ± 5.174 | 9.67 ± 5.219 | 0.142 | ||||
Data are expressed as mean ± SD or number of subjects and % p is from a Student t test for continuous variables or Chi square test/Fisher exact test for dichotomous and ordinal variables. Data available both as continuous variable and as dichotomic variable has been both reported and analyzed accordingly. A p < 0.05 is considered significant
NA not applicable
COVID-19 related psychological markers of depression, anxiety and stress in the post-bariatric population
| Variables | Univariate | Multivariate | Outcome | |||||
|---|---|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | |||||
| Female | 0.65 | (0.30–1.39) | 0.005 | Depression | ||||
| Age (quartiles) | 0.88 | (0.714–1.07) | 0.010 | |||||
| COVID-19 related questionnaire domains | ( | |||||||
| Emotivity | 11.91 | (5.77–24.58) | 0.250 | 1.327 | (1.225–1.437) | |||
| Resiliency | 0.15 | (0.09–0.26) | 0.208 | 0.844 | (0.771–0.925) | |||
| Eating related domain | 6.92 | (3.75–12.76) | 0.183 | 1.073 | (1.00–1.152) | |||
| COVID-19 fear | 3.01 | (1.26–7.19) | 0.023 | |||||
| Female | 0.80 | (0.37–1.72) | 0.001 | Anxiety | ||||
| Age (quartiles) | 0.84 | (0.68–1.04) | 0.010 | |||||
| COVID-19 related questionnaire domains | ( | |||||||
| Emotivity | 9.23 | (4.46–19.12) | 0.201 | 1.295 | (1.207–1.39) | |||
| Resiliency | 0.25 | (0.15–0.41) | 0.119 | |||||
| Eating related domain | 5.32 | (2.87–9.87) | 0.137 | 1.069 | (1.009–1.132) | |||
| COVID-19 fear | 2.48 | (1.02–6.02) | 0.015 | |||||
| Female | 0.59 | (0.24–1.44) | 0.006 | Stress | ||||
| Age (quartiles) | 0.83 | (0.66–1.04) | 0.011 | |||||
| COVID-19 related questionnaire domains | ( | |||||||
| Emotivity | 24.93 | (7.68–80.93) | 0.264 | 1.38 | (1.26–1.52) | |||
| Resiliency | 0.16 | (0.09–0.30) | 0.172 | 0.812 | (0.742–0.888) | |||
| Eating related domain | 4.95 | (2.56–9.57) | 0.117 | |||||
| COVID-19 fear | 2.03 | (0.80–5.18) | 0.009 | |||||
Outcomes: three discrete and separately analyzed outcomes from the DASS questionnaire were used as dependent variables: depression, anxiety and stress. Univariate analysis was performed by converting continuous variables into dummy dichotomic variables based on median values, while continuous variables were used for multivariate analysis. Multivariate model: variables with significant univariate association (p value ≤ 0.05) as regressors
R2 the Nagelkerke's R2
DASS derived depression, anxiety and stress as markers of lifestyle and eating related behavioral characteristic during COVID-19 pandemic in the post-bariatric population
| Variables | Univariate | Multivariate | Outcomes | ||||
|---|---|---|---|---|---|---|---|
| B. | 95% CI | B. 95% CI. | |||||
| Female | − 0.47 | (− 1.03 to 0.08) | 0.008 | ( | Increased hunger | ||
| Age (continuous) | − 0.004 | (− 0.02 to 0.02) | 0.001 | ||||
| Depression | 0.30 | (0.23 to 0.36) | 0.227 | ||||
| Anxiety | 0.25 | (0.18 to 0.33) | 0.124 | 0.25(0.15 to 4.85) | |||
| Stress | 0.21 | (0.16 to 0.26) | 0.164 | ||||
| COVID-19 fear | 0.46 | (− 0.32 to 1.24) | 0.004 | ||||
| Female | − 0.24 | (− 0.73 to 0.32) | ( | Increased snacking | |||
| Age (continuous) | 0.00 | (− 0.02 to 0.02) | 0.010 | ||||
| Depression | 0.21 | (0.16 to 0.27) | 0.144 | 0.14(0.05 to 0.23) | |||
| Anxiety | 0.19 | (0.12 to 0.26) | 0.080 | ||||
| Stress | 0.18 | (0.13 to 0.23) | 0.129 | ||||
| COVID-19 fear | 0.14 | (− 0.64 to 0.92) | 0.000 | ||||
| Female | − 0.36 | (− 0.92 to 0.20) | 0.005 | ( | Increased impulsivity in eating | ||
| Age (continuous) | 0.00 | (− 0.02 to 0.02) | 0.000 | ||||
| Depression | 0.24 | (0.18 to 0.30) | 0.170 | 0.14(0.051 to 0.23) | |||
| Anxiety | 0.22 | (0.15 to 0.29) | 0.104 | ||||
| Stress | 0.20 | (0.15 to 0.25) | 0.163 | 0.099(0.02 to 1.18) | |||
| COVID-19 Fear | 0.26 | (− 0.51 to 1.03) | 0.001 | ||||
Oucomes: three discrete and separately analyzed outcomes from the interview questionnaire were used as dependent variables: increased hunger; increased snacking and increased impulsivity in eating. Univariate analysis was performed using the dummy dichotomic variables based on the DASS threshold which identifies the condition of depression, anxiety and stress, while continuous variables were used for multivariate analysis. Multivariate model: variables with significant univariate association (p value ≤ 0.05) as regressors. R2. the Nagelkerke's R2