{
  "abstract": "There is limited knowledge of the relationship between gestational age and physical activity assessed by accelerometers in population-based cohort studies. We examined how gestational age predicts physical activity among adolescents and adults. Data from 12 896 participants (13–52 years) with physical activity assessed by two tri-axial accelerometers for seven days in the population-based Trøndelag Health Study (HUNT Study) were linked to the Medical Birth Registry of Norway. Metabolic equivalent of task (MET) min/day and min/day in total, moderate to vigorous, and light physical activity were calculated. Effects of gestational age (in weeks) and birth weight (in grams) on physical activity were modelled using fractional polynomials and linear regression. Gestational age predicted MET min/day in light physical activity (B = 1.53, 95% CI: 0.02 to 3.07) in the total sample, especially among females (B = 2.14, 95% CI: 0.33 to 3.93), and in total physical activity among adolescents (B = 2.44, 95% CI: 0.16 to 4.88). Gestational age predicted min/day in total physical activity in the total sample (B = 0.99, 95% CI: 0.07 to 1.90), among females (B = 1.25, 95% CI: 0.11 to 2.40) and adolescents (B = 1.06, 95% CI: 0.02 to 2.12). There were no non-linear or linear effects of birth weight on physical activity. Shorter gestation predicted less physical activity in the total sample, among females, and in adolescents. The associations with total physical activity are by and large consistent with previous observations that individuals born preterm with very low birth weight have lower rates of physical activity.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway",
    "St. Olavs hospital, Trondheim University Hospital, Trondheim, Norway",
    "Clinical Medicine Research Unit Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland",
    "Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland",
    "Department of Mental Health, Norwegian University of Science and Technology, Trondheim, Norway",
    "Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway",
    "Children’s Hospital, Helsinki University Hospital and University of Helsinki, Helsinki, Finland",
    "Department of Rehabilitation Science and Health Technology, Oslo Metropolitan University, Oslo, Norway"
  ],
  "article_type": "Research Article",
  "arxiv": null,
  "author_total": 8,
  "authors": [
    {
      "affs": [
        0
      ],
      "name": "Kristina Anna Djupvik Aakvik"
    },
    {
      "affs": [
        1
      ],
      "name": "Silje Dahl Benum"
    },
    {
      "affs": [
        2
      ],
      "name": "Marjaana Tikanmäki"
    },
    {
      "affs": [
        3
      ],
      "name": "Stian Lydersen"
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    {
      "affs": [
        4
      ],
      "name": "Atle Kongsvold"
    },
    {
      "affs": [
        5
      ],
      "name": "Paul Jarle Mork"
    },
    {
      "affs": [
        6
      ],
      "name": "Eero Kajantie"
    },
    {
      "affs": [
        7
      ],
      "name": "Kari Anne I. Evensen"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/ebvvapm46kd5k.bib",
  "cited_by": 0,
  "doi": "10.1371/journal.pone.0357277",
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  "id": "ebvvapm46kd5k",
  "issns": [
    "1932-6203"
  ],
  "landing_url": "https://doi.org/10.1371/journal.pone.0357277",
  "language": null,
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2737|Physical Activity and Health"
    ],
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      "plos",
      "/Biology and life sciences/Physiology/Biological locomotion/Walking"
    ],
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      "plos",
      "/Biology and life sciences/Physiology/Physiological parameters/Body weight/Birth weight"
    ],
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      "plos",
      "/Engineering and technology/Electronics engineering/Electronics/Accelerometers"
    ],
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      "plos",
      "/Medicine and health sciences/Public and occupational health/Physical activity"
    ],
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      "plos",
      "/People and places/Population groupings/Age groups"
    ],
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      "plos",
      "/People and places/Population groupings/Age groups/Adults"
    ],
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      "plos",
      "/People and places/Population groupings/Age groups/Children/Adolescents"
    ],
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      "plos",
      "/People and places/Population groupings/Families/Children/Adolescents"
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      "/Physical sciences/Mathematics/Statistics/Statistical methods/Regression analysis"
    ],
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      "plos",
      "/Research and analysis methods/Mathematical and statistical techniques/Statistical methods/Regression analysis"
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  "pdf_url": "https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0357277&type=printable",
  "pmcid": null,
  "pmid": null,
  "published": "2026-09-23",
  "publisher": "Public Library of Science",
  "ris": "https://research.draconitic.com/paper/ebvvapm46kd5k.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:17:43Z",
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      "subfield": "statistics"
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      "origin": "plos:public and occupational health",
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      "origin": "plos:physiology",
      "subfield": "physiology"
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  "title": "Gestational age and device-measured physical activity in adolescents and adults: A linkage of the HUNT Study and Medical Birth Registry",
  "title_text": "Gestational age and device-measured physical activity in adolescents and adults: A linkage of the HUNT Study and Medical Birth Registry",
  "type": "peer-reviewed",
  "updated_at": "2026-10-30T12:17:43Z",
  "url": "https://research.draconitic.com/paper/ebvvapm46kd5k",
  "venue": "PLOS One",
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}