The Role of Depression and Attachment Styles in Predicting Students' Addiction to Cell Phones.

Addiction & health · 2015 · Unclear · Low evidence

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UnclearLow evidencePaper 2965

In stepwise multiple regression, depression and avoidant attachment style were reported as the best predictors of students' cell phone addiction/overuse (R^2 = 0.23).

Study snapshot

PublicationAddiction & health · 2015

Study typecross_sectional

Reported directionUnclear

Evidence ratingLow

Abstract

BACKGROUND: The present study aimed at investigating the role of depression and attachment styles in predicting cell phone addiction. METHODS: In this descriptive correlational study, a sample including 100 students of Payame Noor University (PNU), Reyneh Center, Iran, in the academic year of 2013-2014 was selected using volunteer sampling. Participants were asked to complete the adult attachment inventory (AAI), Beck depression inventory-13 (BDI-13) and the cell phone overuse scale (COS). FINDINGS: Results of the stepwise multiple regression analysis showed that depression and avoidant attachment style were the best predictors of students' cell phone addiction (R(2) = 0.23). CONCLUSION: The results of this study highlighted the predictive value of depression and avoidant attachment style concerning students' cell phone addiction.

Machine Enhanced Logic

AI evidence extraction

Structured fields below were generated from the paper’s abstract and metadata to make the evidence easier to inspect. Automated extraction may be incomplete or incorrect; verify important details against the original paper.

Study typecross_sectional

Effect directionunclear

PopulationUniversity students (Payame Noor University, Reyneh Center, Iran; academic year 2013–2014)

Sample size100

ExposureNot supplied

Evidence strengthLowConfidence: 78% · Peer reviewed: yes

Main findings

In stepwise multiple regression, depression and avoidant attachment style were reported as the best predictors of students' cell phone addiction/overuse (R^2 = 0.23).

Outcomes measured

Cell phone addiction/overuse (Cell Phone Overuse Scale, COS)
Depression (BDI-13)
Attachment styles (Adult Attachment Inventory, AAI)

Limitations

Descriptive correlational (cross-sectional) design; cannot infer causality
Volunteer sampling
Single university center; limited generalizability
No EMF exposure metrics reported (e.g., frequency, SAR, measured field levels)

View raw extracted JSON

{
  "study_type": "cross_sectional",
  "exposure": {
    "band": null,
    "source": "mobile phone",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": null
  },
  "population": "University students (Payame Noor University, Reyneh Center, Iran; academic year 2013–2014)",
  "sample_size": 100,
  "outcomes": [
    "Cell phone addiction/overuse (Cell Phone Overuse Scale, COS)",
    "Depression (BDI-13)",
    "Attachment styles (Adult Attachment Inventory, AAI)"
  ],
  "main_findings": "In stepwise multiple regression, depression and avoidant attachment style were reported as the best predictors of students' cell phone addiction/overuse (R^2 = 0.23).",
  "effect_direction": "unclear",
  "limitations": [
    "Descriptive correlational (cross-sectional) design; cannot infer causality",
    "Volunteer sampling",
    "Single university center; limited generalizability",
    "No EMF exposure metrics reported (e.g., frequency, SAR, measured field levels)"
  ],
  "evidence_strength": "low",
  "confidence": 0.78,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "cell phone addiction",
    "cell phone overuse",
    "depression",
    "attachment style",
    "students",
    "Iran",
    "correlational study"
  ],
  "suggested_hubs": []
}

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AI-extracted fields are generated from the abstract and metadata and may be incomplete or incorrect. This material is for informational purposes and is not medical advice.

Identifiers and source

DOI: Not supplied
PubMed: 26885356

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