Does self-efficacy in diabetes management differ by type of diabetes and gender? Results from network analysis

Rucci, Paola; Messina, Rossella; Ubiali, A; Rochira, Andrea; Bijl, Jaap van der; Mancini, Tatiana; Fantini, Maria Pia; Pagotto, Uberto

doi:10.1177/1359105318804866

Cited by 6 publications

(13 citation statements)

References 28 publications

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“…The network approach provides a powerful tool and a framework for analyzing psychological variables in a system. Previous applications of a network approach to psychological variables lacked a discussion on what the system of psychological variables represents and what the interrelationships between the variables mean (Schmittmann et al, 2013;Dalege et al, 2016;Brandt, Sibley and Osborne, 2018;Hevey, 2018;Rucci et al, 2018;van Zyl, 2018). In addition, previous work has largely focused on node level measures thus somewhat neglecting the examination of the structural components of the overall system.…”

Section: Discussionmentioning

confidence: 99%

“…Recent applications of the network approach to psychological variables treated observable behavioral variables as nodes in a system and explored the ways in which other psychological variables relate to the outcome variable and to each other (Brandt, Sibley and Osborne, 2018;Rucci et al, 2018). In such cases, while the latent constructs that represent different psychological domains can be viewed as emerging from them, the behavior itself is not emergent in a system but rather a component in the system.…”

Section: Behavior As a Constituent In A Systemmentioning

confidence: 99%

“…The indirect relationships represent predictive mediations between variables . In addition to exploring the direct and indirect relationships between the predictors and the outcome of interest, researchers attempt to investigate the relative importance of each variable by calculating centrality scores (e.g., strength, betweenness) for each variable and the shortest paths to a focal variable (e.g., by applying Dijkstra's algorithm) (Brandt, Sibley and Osborne, 2018;Hevey, 2018;Rucci et al, 2018). To illustrate this, we calculated three centrality measures for each node, namely, strength, closeness and betweenness centrality (see Figure 2).…”

Section: Behavior As a Constituent In A Systemmentioning

confidence: 99%

“…Recently, there were multiple attempts to represent psychosocial constructs as emergent phenomena in a network of causally interacting variables (Schmittmann et al, 2013;Dalege et al, 2016;Brandt, Sibley and Osborne, 2018;Hevey, 2018;Rucci et al, 2018;van Zyl, 2018). Seeing psychological variables as emergent phenomena means that the higher-level construct (e.g., selfefficacy) emerges from a constellation of lower level determinants (e.g., specific self-efficacy beliefs).…”

Section: Introductionmentioning

confidence: 99%

“…In the present paper, we aim to contribute to the recent efforts to introduce the network approach to health behavior research (Hevey, 2018;Rucci et al, 2018;van Zyl, 2018) by discussing a strategy for incorporating the outcome of interest in network analysis and for investigating network topologies between groups that do or do not exhibit an outcome of interest.…”

Section: Introductionmentioning

confidence: 99%

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Network Approach in Health Behavior Research: How Can We Explore New Questions?

Mkhitaryan¹,

Crutzen²,

Vries³

et al. 2019

Preprint

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The network approach has recently been introduced to clinical psychology and provides a powerful framework for analyzing variables in a system. Since then, its applications have rapidly spread to various fields of social sciences. Unlike in the case of clinical psychology, the peculiarities of the phenomena under study in social sciences have not received sufficient attention. In this paper, along with practical illustrations, we discuss what a system of psychological variables represents and what the interrelationships between the variables mean in the context of health behavior research. In addition, we touch upon the structural analysis of the system which hasn’t been the focus of the recent applications of network analysis in health psychology. In this paper, we illustrate two approaches of incorporating observable behavioral variables in a system and strategies for investigating structural components of the system. We illustrate these two approaches with an analysis of cross-sectional data on adolescents’ beliefs and behavior with respect to registering their choice regarding organ donation in the Netherlands. With this paper, we provide researchers with guidance on network analysis of psychological variables. Furthermore, we wish to facilitate a larger discussion on conceptualizing networks of psychological variables, which will guide the analysis and the interpretation of node level interactions as well as network level structures.

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Section: Discussionmentioning

confidence: 99%

Section: Behavior As a Constituent In A Systemmentioning

confidence: 99%

Section: Behavior As a Constituent In A Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Network Approach in Health Behavior Research: How Can We Explore New Questions?

Mkhitaryan¹,

Crutzen²,

Vries³

et al. 2019

Preprint

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Charting a path to health: The empowering influence of self‐efficacy for the self‐management of type 1 diabetes in children and adolescents

Tabernero,

Rebollo‐Román,

Villaécija‐Rodríguez

et al. 2024

Int J Psychol

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Type 1 diabetes (T1D) in children and adolescents requires a lifelong commitment to disease control, which involves insulin treatment and constant blood glucose monitoring. Framed by Albert Bandura's self‐efficacy theory, we focused on analysing the impact of domain‐specific self‐efficacy for T1D control in children and adolescents and its relationship with different indicators of glycaemic control over time. The study included 205 participants (56.1% male), including 51.7% children and 48.3% adolescents aged 6–18 (M = 13.27, SD = 3.66) years in four longitudinal phases (6 months between phases). The results revealed that higher self‐efficacy predicted better health outcomes, with more time spent actively monitoring glucose and more time in the target range. The positive effect of self‐efficacy was observed to be maintained over time. This study underscores the importance of taking into account the developmental timing in the onset of T1D. There was a significant relationship between self‐efficacy and glucose indicators in adolescents. Although their glucose indicators were worse, self‐efficacy became more relevant as they moved from parental management to the self‐management of T1D. Implications of the results show the positive effect of self‐efficacy on health per glucose indicators, thus suggesting interventions that promote self‐efficacy in this population.

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Network approach in health behavior research: how can we explore new questions?

Mkhitaryan

Crutzen

Steenaart

et al. 2019

Health Psychology and Behavioral Medicine

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Background: The network approach has recently been introduced to clinical psychology and provides a powerful framework for analyzing variables in a system. Since then, its applications have rapidly spread to various fields of social sciences. Unlike in the case of clinical psychology, the peculiarities of the phenomena under study in social sciences have not received sufficient attention. In this paper, along with practical illustrations, we discuss what a system of psychological variables represents and what the interrelationships between the variables mean in the context of health behavior research. Additionally, we explore the structural analysis of the system which has not been the focus of the recent applications of network analysis in health psychology. Discussion: In this paper, we illustrate two approaches of incorporating observable behavioral variables in a system and strategies for investigating structural components of the system. We illustrate these two approaches with an analysis of crosssectional data on adolescents' beliefs and behavior with respect to registering their choice regarding organ donation in the Netherlands. Furthermore, with this paper, we wish to facilitate a larger discussion on conceptualizing networks of psychological variables, which will guide the analysis and the interpretation of node level interactions as well as network level structures.

show abstract

Does self-efficacy in diabetes management differ by type of diabetes and gender? Results from network analysis

Cited by 6 publications

References 28 publications

Network Approach in Health Behavior Research: How Can We Explore New Questions?

Network Approach in Health Behavior Research: How Can We Explore New Questions?

Charting a path to health: The empowering influence of self‐efficacy for the self‐management of type 1 diabetes in children and adolescents

Network approach in health behavior research: how can we explore new questions?

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