Evidence map›Paper›PMID 35717163›Full record

ArticleBMC public health2022

Municipal resources to promote adult physical activity - a multilevel follow-up study.

Virpi Kuvaja-Köllner, Eila Kankaanpää, Johanna Laine, Katja Borodulin, Tomi Mäki-Opas, Hannu Valtonen

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Virpi Kuvaja-KöllnerDepartment of Health and Social Management, University of Eastern Finland, POB 1627, FIN-70211, Kuopio, Finland. virpi-liisa.kuvaja-kollner@uef.fi.
Eila KankaanpääDepartment of Health and Social Management, University of Eastern Finland, POB 1627, FIN-70211, Kuopio, Finland.
Johanna LaineDepartment of Health and Social Management, University of Eastern Finland, POB 1627, FIN-70211, Kuopio, Finland.
Katja BorodulinAge Institute, Finland Jämsänkatu 2, 00520, Helsinki, Finland.
Tomi Mäki-OpasFinnish Institute for Health and Welfare, POB 30, FI-00271, Helsinki, Finland.
Hannu ValtonenDepartment of Health and Social Management, University of Eastern Finland, POB 1627, FIN-70211, Kuopio, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Finland, local authorities (municipalities) provide many services, including sports and physical activity facilities such as pedestrian and bicycle ways and lanes, parks, sports arenas and pools. This study aimed to determine whether local authorities can promote physical activity by allocating resources to physical activity facilities.

methodsThe data on municipality expenditure on physical activity and sports, number of sports associations receiving subsidies from the municipality, kilometers of ways for pedestrians and bicycles and hectares of parks in 1999 and 2010 were gathered from national registers. These data were combined using unique municipal codes with individual survey data on leisure-time physical activity (N = 3193) and commuting physical activity (N = 1394). Panel data on physical activity originated from a national health survey, the Health 2000 study, conducted in 2000-2001 and 2011-2012. We used the data of persons who answered the physical activity questions twice and had the same place of residence in both years. In the data, the individuals are nested within municipalities, and multilevel analyses could therefore be applied. The data comprised a two-wave panel and the individuals were followed over 11 years.

resultsThe resources for physical activity varied between municipalities and years. Municipal expenditure for physical activity and total kilometers of pedestrian ways increased significantly during the 11 years, although a clear decrease was observed in individuals' physical activity. In our models, individual characteristics including higher education level (OR 1.87) and better health status (OR 7.29) increased the odds of increasing physical activity. Female gender was associated with lower (OR 0.83) leisure-time physical activity. Living in rural areas (OR 0.37) decreased commuting physical activity, and age (OR 1.05) increased it. Women (OR 3.16) engaged in commuting physical activity more than men.

conclusionsIndividual-level factors were more important for physical activity than local resources. A large part of the variation in physical activity occurs between individuals, which suggests that some factors not detected in this study explain a large part of the overall variation in physical activity.

Indexed as

ExerciseSportsAdultCitiesFemaleFollow-Up StudiesHumansMaleTransportationMultilevel modelMunicipalityPanel dataPhysical activityPopulation surveyResource allocation

Identifiers

PMID35717163
PMCPMC9206276

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Registered trials

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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.