| Literature DB >> 33921602 |
Noga C Minsky1,2, Dafna Pachter1,2,3, Galia Zacay2,4, Naama Chishlevitz1,2,3, Miriam Ben-Hamo2, Dana Weiner3, Gabriella Segal-Lieberman1,2.
Abstract
Since the outbreak of COVID-19, billions of people have gone into lockdown, facing pandemic related challenges that engender weight gain, especially in the obese. We report the results of an online survey, conducted during Israel's first quarantine, of 279 adults treated in hospital-based obesity clinics with counseling, medications, surgery, endoscopic procedures, or any combination of these for weight loss. In this study, we assessed the association between changes in dietary and lifestyle habits and body weight, and the benefits of receiving weight management care remotely through telemedicine during lockdown. Compared to patients not receiving obesity care via telemedicine, patients receiving this care were more likely to lose weight (OR, 2.79; p = 0.042) and also to increase participation in exercise (OR, 2.4; p = 0.022). While 40% of respondents reported consuming more sweet or salty processed snacks and 33% reported less vegetables and fruits, 65% reported more homemade foods. At the same time, 40% of respondents reported a reduction in exercise and 52% reported a decline in mood. Alterations in these eating patterns, as well as in exercise habits and mood, were significantly associated with weight changes. This study highlights that lockdown affects health behaviors associated with weight change, and advocates for the use of telemedicine to provide ongoing obesity care during future quarantines in order to promote weight loss and prevent weight gain.Entities:
Keywords: COVID-19; SARS-CoV-2; dietary habits; exercise; mood; obesity; quarantine; social distancing; telemedicine; weight gain
Mesh:
Year: 2021 PMID: 33921602 PMCID: PMC8073707 DOI: 10.3390/nu13041359
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Characteristics of 243 patients who provided data as regards weight change divided among tertiles of weight change categories.
| Characteristics | Weight Loss | No Weight Change | Weight Gain | |
|---|---|---|---|---|
| Overall (n (%)) | 81 (33) | 81 (33) | 81 (33) | |
| Gender | 0.67 | |||
| Women (n (%)) | 53 (32) | 58 (35) | 57 (34) | |
| Men (n (%)) | 28 (37) | 23 (31) | 24 (32) | |
| Mean age (years (SD)) | 53 (±14) | 55 (±12) | 50 (±12) | 0.11 |
| Mean baseline weight (kg (SD)) | 94 (±24) | 89 (±24) | 91 (±23) | 0.38 |
| Treatment | 0.001 | |||
| Bariatric over one year ago (n (%)) | 15 (18) | 29 (35) | 39 (47) | |
| Bariatric within past year (n (%)) | 14 (64) | 7 (32) | 1 (5) | |
| Endoscopic sleeve gastroplasty (n (%)) | 7 (47) | 3 (20) | 5 (33) | |
| Pharmacological (n (%)) | 14 (39) | 14 (39) | 8 (22) | |
| Other (n (%)) | 31 (36) | 28 (32) | 28 (32) | |
| Exercise | 0.009 | |||
| More (n (%)) | 21 (55) | 10 (23) | 7 (18) | |
| Same or less (n (%)) | 56 (30) | 64 (35) | 67 (36) | |
| Mood | 0.006 | |||
| No change or improved (n (%)) | 42 (39) | 42 (39) | 25 (23) | |
| Worse (n (%)) | 34 (30) | 31 (27) | 49 (43) | |
| Composite dietary habit score * | <0.001 | |||
| Improvement (n (%)) | 40 (49) | 26 (32) | 16 (20) | |
| No change (n (%)) | 19 (29) | 28 (43) | 18 (28) | |
| Deterioration (n (%)) | 21 (22) | 27 (28) | 47 (50) |
* Consumption of sweet or salty processed snacks, fruits and vegetables and homemade foods.
Characteristics associated with telemedicine use compared to nonuse in 279 patients.
| Characteristic | Using | Not Using | |
|---|---|---|---|
| Overall n (%) | 51 (18) | 228 (82) | |
| Gender | 0.81 | ||
| Female (n (%)) | 36 (19) | 157 (81) | |
| Male (n (%)) | 15 (17) | 71 (83) | |
| Mean age (years (SD)) | 52 (14) | 53 (12) | 0.98 |
| Mean weight baseline (kg (SD)) | 98 (±24) | 90 (±24) | 0.02 |
| Mean weight change (Kg (SD)) | −1.3 (±5.2) | 0.18 (±4.6) | 0.07 |
| Treatment | <0.001 | ||
| Bariatric over one year ago (n (%)) | 7 (7) | 91 (93) | |
| Bariatric within past year (n (%)) | 1 (4) | 22 (96) | |
| Endoscopic sleeve gastroplasty (n (%)) | 4 (25) | 12 (75) | |
| Pharmacological (n (%)) | 19 (43) | 22 (54) | |
| None of the above (n (%)) | 20 (20) | 81 (80) | |
| Exercise | 0.02 | ||
| More (n (%)) | 13 (31) | 29 (62) | |
| Same or less (n (%)) | 34 (16) | 179 (84) | |
| Mood | 0.07 | ||
| No change or improved (n (%)) | 26 (22) | 95 (79) | |
| Worse (n (%)) | 17 (13) | 116 (87) | |
| Composite dietary habit score * | 0.467 | ||
| Improvement (n (%)) | 20 (21) | 76 (79) | |
| No change (n (%)) | 14 (21) | 54 (79) | |
| Deterioration (n (%)) | 17 (15) | 97 (85) |
* Consumption of sweet or salty processed snacks, fruits and vegetables and homemade foods.
Multivariate logistic regression analysis characteristics associated with being in a weight loss versus weight gain category (adjusted for all variables in table).
| Odds Ratio | 95% CI | ||
|---|---|---|---|
| Telemedicine use | 2.79 | 0.042 | 1.04–7.48 |
| Female versus male | 0.74 | 0.416 | 0.35–1.54 |
| Age (each ten-year increase) | 1.29 | 0.082 | 0.97–1.72 |
| Treatment * | |||
| Bariatric over 12 months ago | 0.43 | 0.044 | 0.19–0.98 |
| Bariatric with 12 months | 22.37 | 0.005 | 2.58–193.87 |
| Endoscopic sleeve gastroplasty | 1.50 | 0.543 | 0.41–5.51 |
| Pharmacological | 1.17 | 0.776 | 0.40–3.38 |
* Treatment arms are compared to patients who selected “none of the above [treatments]”, and presumably received counseling alone.
Figure 1Responses to selected questions regarding changes during lockdown.