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Ecological momentary assessments integrating real-time exposure measurements & health assessment using a smartphone application

2017 · No effect · Low evidence

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No effectLow evidencePaper 2295

Participants completed 74% of triggered CS-EMA questionnaires, averaging 31 seconds to complete once opened, and reported minimal influence on daily activities. No significant differences were found between well-being and type of RF-EMF exposure.

Study snapshot

Publicationmanual · 2017
Study typeother
Reported directionNo effect
Evidence ratingLow

Abstract

Ecological momentary assessments integrating real-time exposure measurements & health assessment using a smartphone application van Wel L, Huss A, Bachmann P, Zahner M, Kromhout H, Fröhlich J, Vermeulen R. Context-sensitive ecological momentary assessments; integrating real-time exposure measurements, data-analytics and health assessment using a smartphone application. Environ Int. 2017 Mar 25;103:8-12. doi: 10.1016/j.envint.2017.03.016. Abstract INTRODUCTION: Modern sensor technology makes it possible to collect vast amounts of environmental, behavioural and health data. These data are often linked to contextual information on for example exposure sources which is separately collected with considerable lag time, leading to complications in assessing transient and/or highly spatially variable environmental exposures. Context-Sensitive Ecological Momentary Assessments1 (CS-EMAs) could be used to address this. We present a case study using radiofrequency- electromagnetic fields (RF-EMF) exposure as an example for implementing CS-EMA in environmental research. METHODS: Participants were asked to install a custom application on their own smartphone and to wear an RF- EMF exposimeter for 48h. Questionnaires were triggered by the application based on a continuous data stream from the exposimeter. Triggers were divided into four categories: relative and absolute exposure levels, phone calls, and control condition. After the two days of use participants filled in an evaluation questionnaire. RESULTS: 74% of all CS-EMAs were completed, with an average time of 31s to complete a questionnaire once it was opened. Participants reported minimal influence on daily activities. There were no significant differences found between well-being and type of RF-EMF exposure. CONCLUSIONS: We show that a CS-EMA based method could be used in environmental research. Using several examples involving environmental stressors, we discuss both current and future applications of this methodology in studying potential health effects of environmental factors. ncbi.nlm.nih.gov

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 typeother
Effect directionno_effect
PopulationParticipants using their own smartphone (further details not stated)
Sample sizeNot supplied
ExposureRF · 48h
Evidence strengthLowConfidence: 74% · Peer reviewed: yes

Main findings

Participants completed 74% of triggered CS-EMA questionnaires, averaging 31 seconds to complete once opened, and reported minimal influence on daily activities. No significant differences were found between well-being and type of RF-EMF exposure.

Outcomes measured

  • well-being
  • feasibility/acceptability of context-sensitive ecological momentary assessments (completion rate, time to complete, perceived influence on daily activities)

Limitations

  • Sample size not reported in abstract
  • Population characteristics not described in abstract
  • Exposure metrics (e.g., frequencies, levels) not specified in abstract
  • Short monitoring duration (48h)
View raw extracted JSON
{
  "study_type": "other",
  "exposure": {
    "band": "RF",
    "source": "smartphone; RF-EMF exposimeter (personal measurement)",
    "frequency_mhz": null,
    "sar_wkg": null,
    "duration": "48h"
  },
  "population": "Participants using their own smartphone (further details not stated)",
  "sample_size": null,
  "outcomes": [
    "well-being",
    "feasibility/acceptability of context-sensitive ecological momentary assessments (completion rate, time to complete, perceived influence on daily activities)"
  ],
  "main_findings": "Participants completed 74% of triggered CS-EMA questionnaires, averaging 31 seconds to complete once opened, and reported minimal influence on daily activities. No significant differences were found between well-being and type of RF-EMF exposure.",
  "effect_direction": "no_effect",
  "limitations": [
    "Sample size not reported in abstract",
    "Population characteristics not described in abstract",
    "Exposure metrics (e.g., frequencies, levels) not specified in abstract",
    "Short monitoring duration (48h)"
  ],
  "evidence_strength": "low",
  "confidence": 0.74,
  "peer_reviewed_likely": "yes",
  "keywords": [
    "context-sensitive ecological momentary assessment",
    "CS-EMA",
    "smartphone application",
    "RF-EMF",
    "exposimeter",
    "real-time exposure measurement",
    "well-being",
    "environmental exposure assessment"
  ],
  "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: 10.1016/j.envint.2017.03.016
PubMed: Not supplied

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