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Developing a couple typology: A qualitative study of couple dynamics around physical activity.

ABSTRACT: Partner-based social support can motivate engagement in physical activity (PA); however, couples approach exchanging support in different ways. This study aimed to elucidate the role of relationship dynamics in couple-based support for PA, with the goal of informing intervention strategies that will effectively leverage couple characteristics to increase support for PA. We conducted a qualitative study of couples who completed a longitudinal study of social support for PA. Participants were people with osteoarthritis who were not meeting PA recommendations and their cohabitating partners (n = 19 couples). We conducted in-depth, semistructured interviews and analyzed transcripts using narrative analysis. Participants were 76% non-Hispanic White and, on average, 62 years old. Themes in the data included (a) attitudes about working together to be more active (ranging from positive to negative) and (b) couples' narrative concordance (high to low shared reality). We developed a couple typology with four categories: "Working together works" (positive attitudes/high shared reality; n = 4 couples), "Doing our own thing" (range of attitudes with practical/preferential barriers to working together/high shared reality; n = 5 couples), "Conscious conflict" (discrepant attitudes/high shared reality; n = 5 couples), and "Different realities" (discrepant attitudes/low shared reality; n = 5 couples). We describe examples of each type. In a sample of 19 couples, there were observable differences in participants' attitudes about working together to be more active and in couples' shared reality around those attitudes. Future research should investigate implications for the efficacy of interventions and, if warranted, develop methods to identify couple types and offer appropriate intervention strategies.

SUBMITTER: Griesemer I

PROVIDER: S-EPMC7413183 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature

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Developing a couple typology: A qualitative study of couple dynamics around physical activity.

Griesemer Ida I Phillips Ashley A Khan Cynthia C Bahorski Stephanie S Altpeter Mary M Callahan Leigh F LF Porter Laura S LS Rini Christine C

Translational behavioral medicine 20200801 3

Partner-based social support can motivate engagement in physical activity (PA); however, couples approach exchanging support in different ways. This study aimed to elucidate the role of relationship dynamics in couple-based support for PA, with the goal of informing intervention strategies that will effectively leverage couple characteristics to increase support for PA. We conducted a qualitative study of couples who completed a longitudinal study of social support for PA. Participants were peop ...[more]

PMID: 31220320

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Project description:BackgroundPhysical activity data provides important information on disease onset, progression, and treatment outcomes. Although analyzing physical activity data in conjunction with other clinical and microbiological data will lead to new insights crucial for improving human health, it has been hampered partly because of the large variations in the way the data are collected and presented.ObjectiveThe aim of this study was to develop a Physical Activity Ontology (PACO) to support structuring and standardizing heterogeneous descriptions of physical activities.MethodsWe prepared a corpus of 1140 unique sentences collected from various physical activity questionnaires and scales as well as existing standardized terminologies and ontologies. We extracted concepts relevant to physical activity from the corpus using a natural language processing toolkit called Multipurpose Text Processing Tool. The target concepts were formalized into an ontology using Protégé (version 4). Evaluation of PACO was performed to ensure logical and structural consistency as well as adherence to the best practice principles of building an ontology. A use case application of PACO was demonstrated by structuring and standardizing 36 exercise habit statements and then automatically classifying them to a defined class of either sufficiently active or insufficiently active using FaCT++, an ontology reasoner available in Protégé.ResultsPACO was constructed using 268 unique concepts extracted from the questionnaires and assessment scales. PACO contains 225 classes including 9 defined classes, 20 object properties, 1 data property, and 23 instances (excluding 36 exercise statements). The maximum depth of classes is 4, and the maximum number of siblings is 38. The evaluations with ontology auditing tools confirmed that PACO is structurally and logically consistent and satisfies the majority of the best practice rules of ontology authoring. We showed in a small sample of 36 exercise habit statements that we could formally represent them using PACO concepts and object properties. The formal representation was used to infer a patient activity status category of sufficiently active or insufficiently active using the FaCT++ reasoner.ConclusionsAs a first step toward standardizing and structuring heterogeneous descriptions of physical activities for integrative data analyses, PACO was constructed based on the concepts collected from physical activity questionnaires and assessment scales. PACO was evaluated to be structurally consistent and compliant to ontology authoring principles. PACO was also demonstrated to be potentially useful in standardizing heterogeneous physical activity descriptions and classifying them into clinically meaningful categories that reflect adequacy of exercise.

Dataset Information

Developing a couple typology: A qualitative study of couple dynamics around physical activity.

Publications

Developing a couple typology: A qualitative study of couple dynamics around physical activity.

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