| Literature DB >> 35794125 |
Wei He1,2, Xueyin Zhao1,2, Zhiying Yang1,2, Yan Min3,4, Yi-Hsuan Wu3, Qingcong Kang1,2, Eleanor Frost3, Peng Gao1,2, Yang Yang1,2, Xinyu Chen1,2, Lijin Chen1,2, Ying Lu5, Ann W Hsing6,7,8, Shankuan Zhu9,10.
Abstract
This study aims to investigate the impact of COVID-19 lockdown on lifestyle behaviors and depressive symptom among patients with NCDs (noncommunicable diseases). We incorporated a COVID-19 survey to the WELL China cohort, a prospective cohort study with the baseline survey conducted 8-16 months before the COVID-19 outbreak in Hangzhou, China. The COVID-19 survey was carried out to collect information on lifestyle and depressive symptom during lockdown. A total of 3327 participants were included in the COVID-19 survey, including 2098 (63.1%) reported having NCDs at baseline and 1457 (44%) without NCDs. The prevalence of current drinkers decreased from 42.9% before COVID-19 lockdown to 23.7% during lockdown, current smokers from 15.9 to 13.5%, and poor sleepers from 23.9 to 15.3%, while low physical activity increased from 13.4 to 25.2%, among participants with NCDs (P < 0.05 for all comparisons using McNemar's test). Participants with NCDs were more likely than those without to have depressive symptom (OR, 1.30; 95% CI 1.05-1.61), especially among those who need to refill their medication during the COVID-19 lockdown (OR, 1.52; 95% CI 1.15-2.02). Our findings provide insight into the development of targeted interventions to better prepare patients with NCDs and healthcare system to meet the challenge of future pandemic and lockdown.Entities:
Mesh:
Year: 2022 PMID: 35794125 PMCID: PMC9257558 DOI: 10.1038/s41598-022-15333-0
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.996
Baseline characteristics among 3327 participants with and without non-communicable diseases.
| Baseline characteristics | Non-communicable diseases* | ||
|---|---|---|---|
| No (n = 1229) | Yes (n = 2098) | ||
| < 0.001 | |||
| < 45 | 377 (30.7) | 257 (12.2) | |
| 45–64 | 688 (56.0) | 1114 (53.1) | |
| ≥ 65 | 164 (13.3) | 727 (34.7) | |
| 0.912 | |||
| Male | 461 (37.5) | 791 (37.7) | |
| Female | 768 (62.5) | 1307 (62.3) | |
| < 0.001 | |||
| Unmarried | 86 (7.0) | 58 (2.8) | |
| Married | 1080 (88.0) | 1882 (89.7) | |
| Divorced | 31 (2.5) | 57 (2.7) | |
| Widowed | 30 (2.4) | 101 (4.8) | |
| Unknown | 2 | 0 | |
| < 0.001 | |||
| < 25 | 906 (73.8) | 1309 (62.4) | |
| 25–29 | 291 (23.7) | 691 (33.0) | |
| ≥ 30 | 30 (2.4) | 97 (4.6) | |
| Unknown | 2 | 1 | |
| < 0.001 | |||
| Never | 938 (76.5) | 1621 (77.3) | |
| Former | 48 (3.9) | 144 (6.9) | |
| Current | 240 (19.6) | 333 (15.9) | |
| Unknown | 3 | 0 | |
| 0.005 | |||
| Never | 722 (58.9) | 1157 (55.1) | |
| Former | 10 (0.8) | 43 (2.0) | |
| Current | 494 (40.3) | 898 (42.8) | |
| Unknown | 3 | 0 | |
| 0.040 | |||
| No | 1153 (94.5) | 2014 (96.0) | |
| Yes | 67 (5.5) | 83 (4.0) | |
| Unknown | 9 | 1 | |
| < 0.001 | |||
| Very good | 331 (27.1) | 46 6(22.2) | |
| Fairly good | 681 (55.7) | 1132 (54.0) | |
| Fairly bad | 190 (15.5) | 443 (21.1) | |
| Very bad | 20 (1.6) | 56 (2.7) | |
| < 0.001 | |||
| Low | 235 (20.9) | 281 (14.0) | |
| Moderate | 601 (53.4) | 1181 (58.9) | |
| Vigorous | 289 (25.7) | 544 (27.1) | |
| Unknown | 104 | 92 | |
Data were presented as number (%).
*p value was derived from Chi-Square test.
†Sleep quality was self-reported as very good, fairly good, fairly bad, or very bad.
Figure 1Lifestyle before and during the nationwide COVID-19 lockdown in Hangzhou, China. *p < 0.05, for the difference before and during lockdown using McNemar's test.
Figure 2Depressive symptom before and during the nationwide COVID-19 lockdown in Hangzhou, China. *p < 0.05, for the difference before and during lockdown using McNemar's test.
Selected characteristics and their relation with incident depressive symptom during the COVID-19 lockdown (n = 2820).
| Incident depressive symptom during lockdown | N | Odds ratios (95% CIs) | |
|---|---|---|---|
| Age-adjusted* | Multivariable adjusted† | ||
| Age (years) | |||
| < 45 | 126/499 (25.3) | 1.60 (1.26–2.04) | 1.69 (1.31–2.17) |
| 45–64 | 271/1554 (17.4) | 1.00 (reference) | 1.00 (reference) |
| ≥ 65 | 149/767 (19.4) | 1.14 (0.91–1.42) | 1.06 (0.85–1.34) |
| Non-communicable disease | |||
| No | 183/1042 (17.6) | 1.00 (reference) | 1.00 (reference) |
| Yes | 363/1778 (20.4) | 1.31 (1.07–1.62) | 1.30 (1.05–1.61) |
| Gender | |||
| Male | 214/1066 (20.1) | 1.00 (reference) | – |
| Female | 332/1754 (18.9) | 0.94 (0.78–1.14) | – |
| Marital status | |||
| Unmarried | 23/98 (23.5) | 0.96 (0.58–1.59) | – |
| Married | 484/2549 (19.0) | 1.00 (reference) | – |
| Divorced | 12/66 (18.2) | 0.93 (0.49–1.75) | – |
| Widowed | 27/107 (25.2) | 1.50 (0.95–2.37) | – |
| Body mass index, kg/m2 | |||
| < 25 | 352/1861 (18.9) | 1.00 (reference) | – |
| 25–29 | 169/852 (19.8) | 1.09 (0.89–1.34) | – |
| ≥ 30 | 24/104 (23.1) | 1.26 (0.79–2.02) | – |
| Unknown | 1/3 | – | – |
| Smoking | |||
| Never | 419/2162 (19.4) | 1.00 (reference) | – |
| Former | 33/174 (19.0) | 1.01 (0.68–1.49) | – |
| Current | 94/483 (19.5) | 1.01 (0.79–1.29) | – |
| Unknown | 0/1 | – | – |
| Drinking | |||
| Never | 323/1585 (20.4) | 1.00 (reference) | 1.00 (reference) |
| Former | 14/44 (31.8) | 1.91 (1.00–3.65) | 1.84 (0.95–3.55) |
| Current | 209/1190 (17.6) | 0.83 (0.68–1.00) | 0.84 (0.69–1.02) |
| Unknown | 0/1 | – | – |
| Eating irregularly | |||
| No | 525/2710 (19.4) | 1.00 (reference) | – |
| Yes | 20/105 (19.0) | 0.92 (0.56–1.52) | – |
| Unknown | 1/5 | – | – |
| Sleep quality | |||
| Very good | 142/707 (20.1) | 1.00 (reference) | – |
| Fairly good | 302/1615 (18.7) | 0.89 (0.71–1.11) | – |
| Fairly bad | 95/454 (20.9) | 1.03 (0.77–1.38) | – |
| Very bad | 7/39 (17.9) | 0.89 (0.39–2.07) | – |
| Physical activity | |||
| Low | 82/406 (20.2) | 1.00 (reference) | – |
| Moderate | 272/1524 (17.8) | 0.91 (0.69–1.20) | – |
| Vigorous | 161/739 (21.8) | 1.19 (0.88–1.61) | – |
| Unknown | 31/151 | – | – |
| Maintaining moderate to vigorous physical activity | |||
| No | 197/850 (23.2) | 1.00 (reference) | 1.00 (reference) |
| Yes | 268/1494 (17.9) | 0.76 (0.62–0.94) | 0.77 (0.62–0.95) |
| Unknown | 81/476 | – | – |
| Need to refill medication | |||
| No | 343/2051 (16.7) | 1.00 (reference) | 1.00 (reference) |
| Yes | 83/352 (23.6) | 1.62 (1.23–2.15) | 1.52 (1.15–2.02) |
| Unknown | 120/417 | – | – |
Dashes indicate inapplicable or not included in the model. Women with depressive symptom at baseline were excluded from this analyses.
*Variables were not included in the multivariable model if they were not significantly associated with incident depressive symptom in the univariable models.
†Adjusting all variables listed in this column.