Survey on prevention of depression and it relation to demographic indicators among high school students of Tehran, 1372-73

Survey on prevention of depression and it relation to demographic indicators among high school students of Tehran, 1372-73

A, Nourbala;
tehran university medical journal 1996 Vol. 54 pp. 69-77
278
a1996surveytehran

Abstract

In order to determine the prevalence of depression among high school students of Tehran, the Beck depression test questionnaire was distributed among 1478 students of Tehran 19 districts, using a methodical approach. Data gathered after completion of the forms showed the following results: 11.4% of the students were on the border line of affliction, 12.6% had a medium degree of disorder, 4.2% suffered from a severe level and 0.4% showed a much higher degree of depression. The older these students were, the more prevalent was the depression among them. The girls showed a higher degree of disorder than the boys at a 1.4 to 1 ratio. The lowest degree was found among students of mathematics, whereas the students of literature showed the highest level. The rate was much lower among students of Shahed schools than that observed among students of evening classes. The research showed no relationship between the students depression and their parents profession. However, the higher level of parents' education was associated with lower levels of depression among their children. Finally, lower levels of disorder was observed among residents of private housings in comparison to what was found among students residing in leased or mortgaged dwellings

Citation

ID: 34574
Ref Key: a1996surveytehran
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
34574
Unique Identifier:
7e7ae87cf4dbe11b72c995bf557ad686
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet