Evidence map›Paper›PMID 41249914›Full record

ArticleEuropean review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity2025

Physical activity, neuropsychiatric symptoms, and physical function in nursing home residents: the HUNT 70+ study.

Stine Øverengen Trollebø, Karen Sverdrup, Atle Skjelbred, Kristin Taraldsen, Ellen Marie Bardal, Nina Skjæret-Maroni

Abstract read
In one paragraph

Article in European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Stine Øverengen TrollebøDepartment of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, Norwegian University of Science and Technology, Trondheim, Norway. stine.o.trollebo@ntnu.no.
Karen SverdrupNorwegian National Centre for Ageing and Health, Oslo, Norway.
Atle SkjelbredDepartment of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, Norwegian University of Science and Technology, Trondheim, Norway.
Kristin TaraldsenDepartment of Rehabilitation Science and Health Technology, Faculty of Health Sciences, OsloMet - Oslo Metropolitan University, Oslo, Norway.
Ellen Marie BardalDepartment of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, Norwegian University of Science and Technology, Trondheim, Norway.
Nina Skjæret-MaroniDepartment of Neuromedicine and Movement Science, Faculty of Medicine and Health Science, Norwegian University of Science and Technology, Trondheim, Norway. nina.skjaret.maroni@ntnu.no.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAs life expectancy increases, the incidence of age-related chronic health conditions and functional decline rises, increasing the need for institutional long-term care such as nursing homes. In Norway, 84% of nursing home residents have mild cognitive impairment or dementia. This population is characterized by a high burden of neuropsychiatric symptoms (NPS), which contribute to limited physical activity (PA) and a largely sedentary lifestyle. Regular PA is essential for maintaining physical function (PF) and independence, yet nursing home residents spend most of their time being sedentary. The present study aims to explore sensor-based measured PA patterns and investigate how PA is associated with NPS and PF in nursing home residents.

methodsThis cross-sectional study used data from the fourth wave of the population-based Trøndelag Health Study 70-years-and-older cohort (HUNT4 70+), including activity data from a total of 163 nursing home residents. PA was measured using two accelerometers placed on the lower back and thigh. PA patterns were described through the activity types walking, standing, sitting, and lying, activity bouts, and transitions. NPS was assessed using the Nursing Home Version of the Neuropsychiatric Inventory (NPI-NH), and PF using the Short Physical Performance Battery (SPPB). All outcome variables were grouped based on cognitive impairment and dementia severity, set by clinical experts using the DSM-5 diagnostic criteria and the Clinical Dementia Rating (CDR) scale.

resultsParticipants' mean age was 87.8 years, and 62% were female. With a daily average of 17.6 min walking, 1.1 h standing, 9.9 h sitting, and 12.7 h lying, our nursing home residents spent approximately 94% of the day being sedentary. Walking and standing appeared predominantly in bouts under 10 min across cognitive impairment and dementia severity. No association was found between time spent walking, standing, sitting, lying and transitions from sedentary behavior to activity with NPS. Time spent walking, standing, lying and transitions from sedentary behavior to activity was significantly associated with PF.

conclusionsPA mainly occurred in bouts shorter than 10 min and sitting and lying accounted for most of the daily behavior. No association was detected between time spent in different activities and NPS. Although time spent walking and standing was limited in all groups, it showed an association with PF. This may suggest that even small amounts of PA play a significant role in maintaining or improving physical capabilities in nursing home residents.

Indexed as

HUNTNeuropsychiatric symptomsNursing homePhysical activityPhysical function

Identifiers

PMID41249914
PMCPMC12625522

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.