| Literature DB >> 34247618 |
Bolin Cao1, Dongya Wang1, Yifan Wang1, Brian J Hall2,3, Nan Wu4, Meimei Wu4, Qishan Ma4, Joseph D Tucker5,6, Xing Lv7.
Abstract
BACKGROUND: Public health measures, such as social isolation, are vital to control the spread of the coronavirus disease 2019 (COVID-19), but such measures may increase the risk of depression. Thus, this study examines the influencing and moderating factors of depressive symptoms among individuals subjected to mandatory social isolation.Entities:
Keywords: COVID-19; Coronavirus; Depression; Mental health; Public health services
Mesh:
Year: 2021 PMID: 34247618 PMCID: PMC8272985 DOI: 10.1186/s12889-021-11457-6
Source DB: PubMed Journal: BMC Public Health ISSN: 1471-2458 Impact factor: 3.295
Characteristics and behaviors of individuals under mandatory social isolation in Shenzhen (N = 340)
| Variable | Characteristics | N | % |
|---|---|---|---|
| Age | M = 35.51, SD = 8.37 | ||
| Sex | Male | 196 | 57.65 |
| Female | 144 | 42.35 | |
| Education | Junior high school or below | 34 | 10.00 |
| High school | 117 | 34.41 | |
| Undergraduate | 175 | 51.47 | |
| Master or above | 14 | 4.11 | |
| Monthly income | No income | 31 | 9.12 |
| Lower than 5000 RMB | 33 | 9.71 | |
| 5000–8000 RMB | 81 | 23.82 | |
| 8001–12,000 RMB | 81 | 23.82 | |
| 12,001–30,000 RMB | 87 | 25.59 | |
| Higher than 30,000 RMB | 27 | 7.94 | |
| Time on COVID-related news | Less than one hour | 30 | 8.82 |
| 1–2 h | 138 | 40.59 | |
| 3–4 h | 124 | 36.47 | |
| 5–6 h | 33 | 9.71 | |
| More than 7 h | 15 | 4.41 | |
| Duration of social isolation a | M = 10.52, SD = 6.56 | ||
| Venue of social isolation | Centralized (Hotel) | 100 | 29.41 |
| Home | 293 | 86.18 | |
| Both | 57 | 16.76 | |
| Other | 4 | 1.18 | |
| Infection status of family members | Family members are uninfected | 338 | 99.41 |
| Family member has been confirmed to be infected | 2 | 0.59 | |
| Isolation status of family members | Family members have not been mandatorily isolated | 213 | 62.65 |
| Family member has been or is being mandatorily isolated | 127 | 37.35 | |
| Status of separation from family/ friends during isolation | Live with family/ friends during isolation | 154 | 45.29 |
| Live away from family/ friends during isolation | 136 | 40.00 | |
| Other | 50 | 14.71 | |
| Online social support | M = 2.83, SD = 0.74 | ||
a Note: Six (1.76%) participants inserted unreasonable dates for the start date of mandatory social isolation, so their duration of mandatory social isolation could not be calculated and was considered as missing data. The mean was used to replace these missing data for further analysis
Main and interaction effects on depression (N = 340)
| Model 1 | Model 2 | Model 3 | Model 4 | |||||
|---|---|---|---|---|---|---|---|---|
| b | b | b | b | |||||
| Intercept | 2.46 | <.001*** | 2.27 | <.001*** | 2.39 | <.001*** | 2.28 | <.001*** |
| Perceived susceptibility (PSU) | 1.04 | .005** | 1.63 | <.001*** | .99 | .008** | .95 | .01* |
| Perceived severity (PSE) | .16 | .47 | .16 | .48 | .62 | .05 | .18 | .41 |
| Perceived tones of media coverage (PTM) | −.46 | .02* | −.43 | .03* | −.46 | .02* | −.96 | <.001*** |
| People-oriented public health services (PPH) | −.60 | .11 | −.47 | .20 | −.54 | .14 | −.40 | .29 |
| PSU *PPH | −1.33 | .01* | ||||||
| PSE *PPH | −.79 | .04* | ||||||
| PTM *PPH | .87 | .006** | ||||||
| Age | −.04 | .09 | −.04 | .14 | −.04 | .09 | −.04 | .08 |
| Sex | .54 | .19 | .53 | .19 | .54 | .19 | .46 | .26 |
| Education | −.03 | .91 | .02 | .94 | .00 | .99 | −.03 | .92 |
| Monthly income | .08 | .60 | .07 | .67 | .08 | .62 | .08 | .58 |
| Time spent on news | −.02 | .91 | −.07 | .75 | −.01 | .96 | .01 | .95 |
| Time of Isolation | −.02 | .56 | −.02 | .51 | −.02 | .47 | −.03 | .43 |
| Venues of social isolation | .24 | .60 | .34 | .45 | .19 | .67 | .28 | .52 |
| Infection status of family | 5.64 | .03* | 5.78 | .02* | 5.65 | .02* | 5.51 | .03* |
| Isolation status of family | −.04 | .93 | −.01 | .99 | −.09 | .84 | −.09 | .84 |
| Status of separation from family/ friends | −.62 | .16 | −.63 | .15 | −.54 | .22 | −.65 | .14 |
| Online social support | .42 | .13 | .41 | .13 | .39 | .15 | .38 | .16 |
| Adjusted R square | .065 | .081 | .074 | .084 | ||||
Note: Model 1 examined the main effects of perceived susceptibility, perceived severity, perceived tones of media coverage, and people-oriented public health services on depression. Model 2 examined the effects of the interaction between perceived susceptibility and people-oriented public health services on depressive symptoms. Model 3 examined the effects of the interaction between perceived severity and people-oriented public health services on depression. Model 4 assessed the effects of the interaction between perceived tone of media coverage and people-oriented public health services on depressive symptoms
Fig. 1The effects of interaction between perceived susceptibility and people-oriented public health services on depressive symptoms
Fig. 2The effects of interaction between perceived severity and people-oriented public health services on depressive symptoms
Fig. 3The effects of interaction between perceived tone of media coverage and people oriented public health services on depressive symptoms