| Literature DB >> 35815011 |
Mohamad Golitaleb1, Elaheh Mazaheri2, Mahtab Bonyadi3, Ali Sahebi3.
Abstract
Introduction: Flood as the most common kind of the natural disasters has unpleased short, medium, and long-term consequences on the victims' welfare, relationships, and physical and mental health. One of the most common mental health disorders in these victims is Post-traumatic stress disorder (PTSD). The aim of this study is to investigate the prevalence of PTSD on the flood victims.Entities:
Keywords: PTSD; Post-traumatic stress disorder; flood; mental disorders; natural disasters
Year: 2022 PMID: 35815011 PMCID: PMC9259936 DOI: 10.3389/fpsyt.2022.890671
Source DB: PubMed Journal: Front Psychiatry ISSN: 1664-0640 Impact factor: 5.435
FIGURE 1Flowchart of the study and selection of studies based on PRISMA steps.
The characteristics of the selected studies in meta-analysis.
| References | Tool | Country | Sample size | Male | Female | Prevalence of PTSD |
| Bandla et al. ( | PCL-C | India | 223 | 107 | 116 | 26.9% |
| Chen et al. ( | PCL-C | China | 118 | 59 | 59 | 14.4% |
| Dai et al. ( | PCL-C | China | 321 | 173 | 148 | 15.89% |
| Dai et al. ( | PCL-C | China | 325 | 153 | 172 | 9.5% |
| Dai et al. ( | PCL-C | China | 175 | 81 | 94 | 16% |
| Dai et al. ( | PCL-C | China | 201 | 111 | 90 | 19.4% |
| Hu et al. ( | PCL-C | China | 284 | 153 | 131 | 15.4% |
| Irniza et al. ( | TSQ | Malaysia | 150 | 61 | 89 | 28% |
| Puechlong et al. ( | PCL - S | France | 67 | 32 | 35 | 30% |
| Quan et al. ( | PCL-5 | China | 187 | 94 | 84 (9 | 25.1% |
| Sitwat et al. ( | SCID-IV | Pakistan | 205 | – | 205 | 2% |
| Sonpaveerawong et al. ( | GHQ- 12- Plus-R | Thailand | 326 | 177 | 149 | 44.48% |
| Taukeni et al.( | CTSQ | Southern Africa | 134 | 44 | 90 | 55.2% |
| Taukeni et al. ( | CTSQ | Southern Africa | 295 | 114 | 181 | 72.8% |
| Zhen et al. ( | PCL-5 | China | 187 | – | – | 25.1% |
| Oo et al. ( | Researcher made | Malaysia | 208 | 98 | 110 | 10.1% |
| Mahfuzhah et al. ( | PCL - S | Indonesia | 102 | 51 | 51 | 20% |
| Srivastava et al. ( | PCL-C | India | 1651 | 739 | 912 | 70.93% |
| Seyedin et al. ( | PTSS-10 | Iran | 400 | 238 | 162 | 64% |
| Ashok et al. ( | IES-R | India | 302 | 120 | 182 | 51.3% |
| Wani ( | PCL-C | India | 500 | 171 | 329 | 24.8% |
| Cherian et al. ( | PCL-5 | India | 100 | 29 | 71 | 22% |
| Patel et al. ( | IES-R | India | 138 | – | – | 23.2% |
| Dar et al. ( | PCL - S | India | 87 | 39 | 48 | 21% |
*Unknown gender.
**PCL - S, post-traumatic stress disorder checklist – Specific; IES – R, impact of event scale – revised; PCL – 5, post-traumatic stress disorder checklist for DSM-5; PCL-C, post-traumatic stress disorder checklist - civilian version; PTSS-10, post-traumatic symptom scale-10; CTSQ, child trauma screening questionnaire; GHQ-12-Plus-R, general health questionnaire twelve plus R; TSQ, trauma screening questionnaire; SCID – IV, structured clinical interview for DSM – IV disorders.
FIGURE 2Forest plot of the prevalence of PTSD after the flood in general and separately with 95% confidence interval.
FIGURE 3Sensitivity analysis for the prevalence of PTSD.