Evidence map›Paper›PMID 28562613›Full record

ArticlePloS one2017

Weather, day length and physical activity in older adults: Cross-sectional results from the European Prospective Investigation into Cancer and Nutrition (EPIC) Norfolk Cohort.

Yu-Tzu Wu, Robert Luben, Nicholas Wareham, Simon Griffin, Andy P Jones

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
5.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed, 80 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Summer Heat, Physical Activity, and Sedentary Behavior of Children Outdoors and Indoors in an Urban Setting.Journal of urban health : bulletin of the New York Academy of Medicine · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. The Impact of Temperature on 24-Hour Movement Behaviors among Chinese Freshmen Students.International journal of environmental research and public health · 2023
    Article
  14. Article
  15. Article
  16. The relationship of weather with daily physical activity and the time spent out of home in older adults from Germany - the ActiFE study.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2022
    Article
  17. Associations between meteorological factors and emergency department visits for unintentional falls during Ontario winters.Health promotion and chronic disease prevention in Canada : research, policy and practice · 2021
    Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Yu-Tzu WuDepartment of Population Health & Primary Care, Norwich Medical School, University of East Anglia, Norwich, United Kingdom.
Robert LubenDepartment of Public Health and Primary Care, Institute of Public Health, University of Cambridge, Cambridge, United Kingdom.
Nicholas WarehamUKCRC Centre for Diet and Activity Research (CEDAR), Institute of Public Health, University of Cambridge, Forvie Site, Robinson Way, Cambridge, United Kingdom.
Simon GriffinUKCRC Centre for Diet and Activity Research (CEDAR), Institute of Public Health, University of Cambridge, Forvie Site, Robinson Way, Cambridge, United Kingdom.
Andy P JonesDepartment of Population Health & Primary Care, Norwich Medical School, University of East Anglia, Norwich, United Kingdom.
University of Cambridge · GBMRC Epidemiology Unit · GBUniversity of East Anglia · GB

Funding

Medical Research Council G0401527Medical Research Council G1000143Medical Research Council MC_UU_12015/1Medical Research Council MC_UU_12015/4Medical Research Council MR/K023187/1Medical Research Council MR/K025147/1Medical Research Council MR/N003284/1Wellcome Trust
6 · The paper itself

Abstract

backgroundA wide range of environmental factors have been related to active ageing, but few studies have explored the impact of weather and day length on physical activity in older adults. We investigate the cross-sectional association between weather conditions, day length and activity in older adults using a population-based cohort in England, the European Prospective Investigation into Cancer and Nutrition (EPIC) Norfolk study.

methodsPhysical activity was measured objectively over 7 days using an accelerometer and this was used to calculate daily total physical activity (counts per minute), daily minutes of sedentary behaviour and light, moderate and vigorous physical activity (LMVPA). Day length and two types of weather conditions, precipitation and temperature, were obtained from a local weather station. The association between these variables and physical activity was examined by multilevel first-order autoregressive modelling.

resultsAfter adjusting for individual factors, short day length and poor weather conditions, including high precipitation and low temperatures, were associated with up to 10% lower average physical activity (p<0.01) and 8 minutes less time spent in LMVPA but 15 minutes more sedentary time, compared to the best conditions.

conclusionDay length and weather conditions appear to be an important factor related to active ageing. Future work should focus on developing potential interventions to reduce their impact on physical activity behaviours in older adults.

Indexed as

ExerciseSeasonsWeatherAgedAged, 80 and overCohort StudiesCross-Sectional StudiesEnglandFemaleHumansMaleProspective Studies

Identifiers

PMID28562613
PMCPMC5451002
OpenAlexW2611552701

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.