Effects of exposure to nearby mobile phone base stations and mobile phone usage on human blood parameters

Abstract

The present study investigates the impact of RF-EMF (900 and 1800 MHz) emissions from mobile phone base stations (MPBS) as well as from mobile phone usage on the hematological parameters and stress markers of exposed individuals. Members of MPBS highly exposed (N = 50) and a reference group (N = 51) were tested using a complete blood count and two stress markers, amylase and cortisol. Different effects were found for different blood parameters, based on various combinations of exposure type, demographics, and lifestyle behaviors. Subsequent stepwise regression analysis revealed that exposure from MPBS contributed significantly to TLC, while various combinations of gender, age and power density contributed significantly to differential and absolute basophil counts and absolute monocyte counts. MPBS exposures contributed to absolute monocytes similar to smoking. Furthermore, hours of daily mobile phone exposure together with age contributed significantly to absolute and differential basophil counts and absolute lymphocyte counts. Of concern, almost a quarter of those with high MPBS exposures had basophil counts above the clinical reference limits, while over half of those with heavy daily mobile phone use (4 to 6 hours) had lymphocyte counts above the limits, and most were under 30 years old. While smoking and age contributed to amylase levels, no exposure variables contributed to amylase or cortisol levels. Altogether, there is an indication that RF-EMF from mobile phones and MPBS together with age and gender can differentially impact leucocytes, indicating biological stress and potentially affecting health. These results suggest the necessity for increasing awareness regarding adverse effects of RF-EMF exposures.

AI evidence extraction

Main findings

Compared with a reference group, different effects were reported across blood parameters depending on exposure type, demographics, and lifestyle factors. Stepwise regression indicated MPBS exposure contributed significantly to total leukocyte count (TLC), and combinations including gender, age, and power density contributed to basophil and monocyte counts; daily mobile phone hours with age contributed to basophil and lymphocyte counts. No exposure variables contributed to amylase or cortisol levels; smoking and age contributed to amylase.

Outcomes measured

• complete blood count (hematological parameters)
• total leukocyte count (TLC)
• differential and absolute basophil counts
• absolute monocyte counts
• absolute lymphocyte counts
• amylase
• cortisol

Limitations

• Observational design (group comparison with regression); causality cannot be established
• Effects varied by combinations of exposure type, demographics, and lifestyle behaviors (complex/confounded associations)
• Exposure metrics beyond frequencies and mention of power density are not detailed in the abstract

Suggested hubs

• mobile-base-stations (0.95)
  Study explicitly evaluates RF-EMF emissions from mobile phone base stations (MPBS) and compares highly exposed vs reference group.

{
    "study_type": "cross_sectional",
    "exposure": {
        "band": "RF",
        "source": "mobile phone base station and mobile phone",
        "frequency_mhz": null,
        "sar_wkg": null,
        "duration": "daily mobile phone use (4 to 6 hours mentioned); MPBS nearby exposure (highly exposed vs reference)"
    },
    "population": "Exposed individuals: members of a mobile phone base station (MPBS) highly exposed group and a reference group",
    "sample_size": 101,
    "outcomes": [
        "complete blood count (hematological parameters)",
        "total leukocyte count (TLC)",
        "differential and absolute basophil counts",
        "absolute monocyte counts",
        "absolute lymphocyte counts",
        "amylase",
        "cortisol"
    ],
    "main_findings": "Compared with a reference group, different effects were reported across blood parameters depending on exposure type, demographics, and lifestyle factors. Stepwise regression indicated MPBS exposure contributed significantly to total leukocyte count (TLC), and combinations including gender, age, and power density contributed to basophil and monocyte counts; daily mobile phone hours with age contributed to basophil and lymphocyte counts. No exposure variables contributed to amylase or cortisol levels; smoking and age contributed to amylase.",
    "effect_direction": "mixed",
    "limitations": [
        "Observational design (group comparison with regression); causality cannot be established",
        "Effects varied by combinations of exposure type, demographics, and lifestyle behaviors (complex/confounded associations)",
        "Exposure metrics beyond frequencies and mention of power density are not detailed in the abstract"
    ],
    "evidence_strength": "low",
    "confidence": 0.7399999999999999911182158029987476766109466552734375,
    "peer_reviewed_likely": "yes",
    "keywords": [
        "RF-EMF",
        "900 MHz",
        "1800 MHz",
        "mobile phone base stations",
        "mobile phone use",
        "hematological parameters",
        "complete blood count",
        "leukocytes",
        "basophils",
        "monocytes",
        "lymphocytes",
        "amylase",
        "cortisol",
        "power density"
    ],
    "suggested_hubs": [
        {
            "slug": "mobile-base-stations",
            "weight": 0.9499999999999999555910790149937383830547332763671875,
            "reason": "Study explicitly evaluates RF-EMF emissions from mobile phone base stations (MPBS) and compares highly exposed vs reference group."
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}

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