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[Effects of electromagnetic radiation from handsets of cellular telephone on neurobehavioral function].

PAPER pubmed Wei sheng yan jiu = Journal of hygiene research 2000 Cohort study Effect: harm Evidence: Low

Abstract

In order to study the effects of electromagnetic radiation from handsets of cellular telephone on neurobehavioral function, 81 staff with handsets of cellular telephone and 63 staff without handsets of cellular telephone from corporations were selected as the subjects. The subjects were investigated by questionnaire on their general health, lifestyle habit, suppress of spirit, handset using of cellular telephone, environmental exposure, morbidity, and the neurobehavioral core test battery(NCTB). The data was analyzed by chi-square, stepwise regression analysis and covariance statistics. The results showed that the average reaction time in user's group was longer than that in control group (P < 0.01). The time of using handset was negatively associated with corrected reaction number (P < 0.01). The fast reaction time and the slowest reaction time were positively associated with the length of handset using (P < 0.01, P < 0.05). The results suggested that the handset using could cause adverse health effects in neurobehavioral function.

AI evidence extraction

At a glance
Study type
Cohort study
Effect direction
harm
Population
Corporation staff with and without cellular telephone handsets
Sample size
144
Exposure
mobile phone · handset use duration/length of handset using
Evidence strength
Low
Confidence: 72% · Peer-reviewed: yes

Main findings

Among 81 handset users vs 63 non-users, the users had longer average reaction time (P < 0.01). Duration/length of handset use was negatively associated with corrected reaction number (P < 0.01) and positively associated with fast reaction time and slowest reaction time (P < 0.01; P < 0.05).

Outcomes measured

  • Neurobehavioral function (Neurobehavioral Core Test Battery, NCTB)
  • Reaction time
  • Corrected reaction number

Limitations

  • Exposure metrics (e.g., frequency, SAR) not reported in abstract
  • Non-randomized comparison of users vs non-users; potential confounding despite regression/covariance analyses
  • Outcomes and exposure appear based partly on questionnaire/self-report
  • Timing/temporality of exposure vs outcome assessment not clearly described in abstract

Suggested hubs

  • occupational-exposure (0.6)
    Study population is corporation staff (workforce) comparing handset users vs non-users.
View raw extracted JSON
{
    "study_type": "cohort",
    "exposure": {
        "band": null,
        "source": "mobile phone",
        "frequency_mhz": null,
        "sar_wkg": null,
        "duration": "handset use duration/length of handset using"
    },
    "population": "Corporation staff with and without cellular telephone handsets",
    "sample_size": 144,
    "outcomes": [
        "Neurobehavioral function (Neurobehavioral Core Test Battery, NCTB)",
        "Reaction time",
        "Corrected reaction number"
    ],
    "main_findings": "Among 81 handset users vs 63 non-users, the users had longer average reaction time (P < 0.01). Duration/length of handset use was negatively associated with corrected reaction number (P < 0.01) and positively associated with fast reaction time and slowest reaction time (P < 0.01; P < 0.05).",
    "effect_direction": "harm",
    "limitations": [
        "Exposure metrics (e.g., frequency, SAR) not reported in abstract",
        "Non-randomized comparison of users vs non-users; potential confounding despite regression/covariance analyses",
        "Outcomes and exposure appear based partly on questionnaire/self-report",
        "Timing/temporality of exposure vs outcome assessment not clearly described in abstract"
    ],
    "evidence_strength": "low",
    "confidence": 0.7199999999999999733546474089962430298328399658203125,
    "peer_reviewed_likely": "yes",
    "keywords": [
        "cellular telephone",
        "handset",
        "electromagnetic radiation",
        "neurobehavioral function",
        "reaction time",
        "NCTB",
        "occupational population"
    ],
    "suggested_hubs": [
        {
            "slug": "occupational-exposure",
            "weight": 0.59999999999999997779553950749686919152736663818359375,
            "reason": "Study population is corporation staff (workforce) comparing handset users vs non-users."
        }
    ]
}

AI can be wrong. Always verify against the paper.

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

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