The DOI matches its Crossref record.
Acute pain response in infants: a multidimensional description
Abstract
Fourteen infants who were undergoing routine immunization were studied from a multidimensional perspective. The measures used were heart rate, crying, body movement/posturing, and voice spectrographs. There was wide variability between infants on the measures, especially on the cry spectrographs, although facial expression was consistent across infants. The pattern that did emerge was characterized by an initial response: a drop in heart rate, a long, high pitched cry followed by a period of apnea, rigidity of the torso and limbs, and a facial expression of pain. This was followed by a sharp increase in heart rate, lower pitched, but dysphonated cries, less body rigidity, but still facial expression was of pain. Finally, in the second half of the minute's response, heart rate remained elevated, cries were lower pitched, more rhythmic, with a rising-falling pattern, and were mostly phonated, and body posturing returned to normal. Those faces that could be viewed also were returning to the at rest configuration. It was suggested that facial expression may be the most consistent across-infant indicator of pain at this point in time.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The signal functions of early infant crying
Soltis, J. (2004) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0400010x · Cited by 387
Fitzgerald, M., Millard, C., & McIntosh, N. (1989) · Pain · doi:10.1016/0304-3959(89)90172-3 · Cited by 377
Summary Proceedings From the Neonatal Pain-Control Group
Anand, K. J. S., Aranda, J. V., Berde, C. B., Buckman, S., Capparelli, E. V., Carlo, W., Hummel, P., Johnston, C. C., Lantos, J., Tutag-Lehr, V., et al. (2006) · Pediatrics · doi:10.1542/peds.2005-0620c · Cited by 276
Self-citation
Metadata
- Authors
- Johnston, C. C., & Strada, M. E.
- Venue
- Pain
- Published
- 1986-03
- Volume
- 24
- Issue
- 3
- Pages
- 373-382
- ISSN
- 0304-3959 (ISSN-L)
- OpenAlex
- W2023432177
- Cited by
- 254
- References
- 0
- FWCI
- 12.03
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Acute pain response in infants: a multidimensional description. https://app.cochat.ai/papers/10.1016/0304-3959(86)90123-5
- The paper
- Johnston, C. C., & Strada, M. E. (1986). Acute pain response in infants: a multidimensional description. Pain. https://doi.org/10.1016/0304-3959(86)90123-5
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.