Evidence map›Paper›PMID 33032243›Full record

ArticleHealth & place2020

Combining social network and activity space data for health research: tools and methods.

Naud Alexandre, Sueur Cédric, Basile Chaix, Kestens Yan

Abstract read
In one paragraph

Article in Health & place, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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

4 authors.

Naud AlexandreEcole de Sante Publique, Département de Médecine Sociale et Préventive, Université de Montréal, 7101, Avenue du Parc, Montréal, Qc, H3N 1X9, Canada; Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Axe de Recherche Santé des Populations, Pavillon S, 900 Rue Saint-Denis, Montréal, QC H2X 0A9, Canada; Universite de Strasbourg, CNRS, IPHC UMR 7178, 23 Rue du Loess, 67200, Strasbourg, France. Electronic address: alexandre.naud@umontreal.ca.
Sueur CédricUniversite de Strasbourg, CNRS, IPHC UMR 7178, 23 Rue du Loess, 67200, Strasbourg, France; Institut Universitaire de France, Ministère de l'Enseignement Supérieur, de la Recherche et de l'Innovation, 1 Rue Descartes, 75231 PARIS CEDEX 05, France. Electronic address: cedric.sueur@iphc.cnrs.fr.
Basile ChaixSorbonne Université, INSERM, Institut Pierre Louis d'Épidémiologie et de Santé Publique, Nemesis Research Team, 6 Boulevard Vincent Auriol, 75646 Paris, France. Electronic address: basile.chaix@iplesp.upmc.fr.
Kestens YanEcole de Sante Publique, Département de Médecine Sociale et Préventive, Université de Montréal, 7101, Avenue du Parc, Montréal, Qc, H3N 1X9, Canada; Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Axe de Recherche Santé des Populations, Pavillon S, 900 Rue Saint-Denis, Montréal, QC H2X 0A9, Canada. Electronic address: yan.kestens@umontreal.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contextual factors influencing population health have received substantial attention, especially with regard to people's social networks and the roles of built environments in their activity spaces. Yet little health research has considered spatial and social contexts simultaneously, often because of a lack of existing data. This paper presents a tool for collecting relational data on social network and activity space that extends an existing map-based questionnaire with the addition of a name generator. We then illustrate how network analysis provides a useful framework for studying connections between social and spatial contexts using data collected in the Contrasted Urban settings for Healthy Aging research project.

Indexed as

Built EnvironmentSocial EnvironmentHumansSocial NetworkingSurveys and Questionnaires

Identifiers

PMID33032243
PMCPMC7534796

What OpenQuestion holds

Textmetadata
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.