| Literature DB >> 35052258 |
Chung-Ying Lin1, Zainab Alimoradi2, Narges Ehsani2, Maurice M Ohayon3, Shun-Hua Chen4, Mark D Griffiths5, Amir H Pakpour2,6.
Abstract
The novel 2019 coronavirus disease (COVID-19) is still not under control globally. The pandemic has caused mental health issues among many different cohorts and suicidal ideation in relation to COVID-19 has been reported in a number of recent studies. Therefore, the present study proposed a model to explain the associations between generalized trust, fear of COVID-19, insomnia, and suicidal ideation during the COVID-19 pandemic among a large-scale Iranian sample. Utilizing cluster sampling with multistage stratification, residents from Qazvin province in Iran were invited to participate in the present study. Adults aged over 18 years (n = 10,843; 6751 [62.3%] females) completed 'paper-and-pencil' questionnaires with the assistance of a trained research assistant. Structural equation modeling (SEM) was applied to understand the associations between generalized trust, fear of COVID-19, insomnia, and suicidal ideation. Slightly over one-fifth of the participants (n = 2252; 20.8%) reported suicidal ideation. Moreover, the SEM results indicated that generalized trust was indirectly associated with suicidal ideation via fear of COVID-19 and insomnia. Furthermore, generalized trust was not directly associated with suicidal ideation. The proposed model was invariant across gender groups, age groups, and participants residing in different areas (i.e., urban vs. rural). Generalized trust might reduce individuals' suicidal ideation during the COVID-19 pandemic period via reduced levels of fear of COVID-19 and insomnia. Healthcare providers and policymakers may want to assist individuals in developing their generalized trust, reducing fear of COVID-19, and improving insomnia problems to avoid possible suicidal behaviors.Entities:
Keywords: generalized trust; insomnia; psychological distress; sleep; suicide
Year: 2022 PMID: 35052258 PMCID: PMC8775802 DOI: 10.3390/healthcare10010093
Source DB: PubMed Journal: Healthcare (Basel) ISSN: 2227-9032
The demographic characteristics of study participants (n = 10,843).
| Mean ± SD or N (%) | Suicidal Ideation | ||
|---|---|---|---|
| No (n = 8591) | Yes (n = 2252) | ||
| Age | 35.54 ± 12.00 | ||
| Sex | |||
| Female | 6751 (62.3%) | 5242 (77.6%) | 1509 (22.4%) |
| Male | 4092 (37.7%) | 3349 (81.8%) | 743 (18.2%) |
| Educational status | |||
| University | 4230 (39.0%) | 3423 (80.9%) | 807 (19.1%) |
| Diploma | 2761 (25.5%) | 2180 (79.0%) | 581 (21.0%) |
| High school | 974 (9.0%) | 768 (78.9%) | 206 (21.1%) |
| Secondary school | 1540 (14.2%) | 1192 (77.4%) | 348 (22.6%) |
| Primary school | 986 (9.1%) | 760 (77.1%) | 226 (22.9%) |
| No formal education | 352 (3.2%) | 268 (76.1%) | 84 (23.9%) |
| Marital status | |||
| Married | 8092 (74.6%) | 6343 (78.4%) | 1749 (21.6%) |
| Single | 2751 (25.4%) | 2248 (81.7%) | 503 (18.3%) |
| Accommodation | |||
| City | 8187 (75.5%) | 6476 (79.1%) | 1711 (20.9%) |
| Rural | 2656 (24.5%) | 2115 (79.6%) | 541 (20.4%) |
| Insomnia | 8.69 ± 5.47 | ||
| Fear of COVID-19 | 21.10 ± 6.95 | ||
| Generalized trust | 2.81 ± 0.87 | ||
Figure 1Hypothesized mediation model and findings. * p < 0.05.
Models that tested mediated effects of fear and insomnia.
| Stand. | Unstand. | Bootstrapping SE | Bootstrapping LLCI | Bootstrapping ULCI | ||
|---|---|---|---|---|---|---|
| Total effect of generalized trust on suicidal ideation | −0.07 | −0.032 | 0.004 | −0.041 | −0.024 | <0.001 |
| Direct effect of generalized trust on suicidal ideation | 0.007 | 0.003 | 0.004 | −0.004 | 0.011 | 0.393 |
| Direct effect of generalized trust on mediators | ||||||
| Fear of COVID-19 | −0.183 | −1.453 | 0.082 | −1.618 | −1.297 | <0.001 |
| Insomnia | −0.100 | −0.860 | 0.085 | −1.030 | −0.694 | <0.001 |
| Indirect effect of generalized trust on suicidal ideation | ||||||
| Total indirect effect | −0.078 | −0.036 | 0.002 | −0.041 | −0.032 | <0.001 |
| Through fear of COVID-19 | −0.045 | −0.021 | 0.001 | −0.024 | −0.018 | <0.001 |
| Through insomnia | −0.013 | −0.006 | 0.001 | −0.009 | −0.004 | <0.001 |
Note: age, gender, education, accommodation, and marital status were adjusted for the model. Unstand. Coeff. = unstandardized coefficient; LLCI = lower limit in 95% confidence interval; ULCI = upper limit in 95% confidence interval.
Path invariance across age, gender, and living place through multigroup structural equation modeling analysis.
| Model and Comparisons | Fit Statistics | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| χ2 (df)/ | ∆χ2 (∆df)/ | CFI | ∆CFI | TLI | ∆TLI | RMSEA | ∆RMSEA | SRMR | ∆SRMR | |
| Gender (males vs. females) | ||||||||||
| M1: Unconstrained | 7.40 (2)/0.02 | - | 0.981 | - | 0.979 | - | 0.032 | - | 0.038 | - |
| M2: Structural weights | 13.65 (7)/0.06 | 6.25 (5)/0.28 | 0.987 | 0.006 | 0.980 | 0.001 | 0.028 | −0.004 | 0.037 | −0.001 |
| M3: Structural covariances | 15.14 (8)/0.06 | 7.74 (6)/0.26 | 0.989 | 0.002 | 0.982 | 0.002 | 0.027 | −0.001 | 0.037 | 0.000 |
| M4: Structural residuals | 18.59 (11)/0.07 | 11.19 (9)/0.26 | 0.991 | 0.002 | 0.985 | 0.003 | 0.024 | −0.003 | 0.035 | −0.002 |
| Age (>35.54 years vs. <35.54 years) | ||||||||||
| M1: Unconstrained | 7.68 (2)/0.02 | - | 0.980 | - | 0.978 | - | 0.033 | - | 0.039 | - |
| M2: Structural weights | 12.81 (7)/0.08 | 5.13 (5)/0.40 | 0.984 | 0.004 | 0.983 | 0.005 | 0.027 | −0.006 | 0.037 | −0.002 |
| M3: Structural covariances | 13.60 (8)/0.09 | 5.92 (6)/0.43 | 0.985 | 0.001 | 0.984 | 0.001 | 0.022 | −0.005 | 0.036 | −0.001 |
| M4: Structural residuals | 17.32 (11)/0.10 | 9.64 (9)/0.38 | 0.988 | 0.003 | 0.986 | 0.002 | 0.019 | −0.003 | 0.033 | −0.003 |
| Living (city vs. rural) | ||||||||||
| M1: Unconstrained | 7.01 (2)/0.03 | - | 0.982 | - | 0.980 | - | 0.030 | - | 0.036 | - |
| M2: Structural weights | 13.81 (7)/0.055 | 6.80 (5)/0.24 | 0.983 | 0.001 | 0.982 | 0.002 | 0.028 | −0.002 | 0.036 | 0.000 |
| M3: Structural covariances | 14.18 (8)/0.08 | 7.17 (6)/0.31 | 0.984 | 0.001 | 0.983 | 0.001 | 0.026 | −0.002 | 0.035 | −0.001 |
| M4: Structural residuals | 16.80 (11)/0.11 | 9.79 (9)/0.37 | 0.989 | 0.005 | 0.987 | 0.004 | 0.024 | −0.002 | 0.030 | −0.005 |
CFI = comparative fit index; TLI = Tucker–Lewis index; RMSEA = root mean square error of approximation; SRMR = standardized root mean square residual.