Previous Page  2 / 14 Next Page
Information
Show Menu
Previous Page 2 / 14 Next Page
Page Background

Page 17

conferenceseries

.com

Volume 8

Journal of Community Medicine & Health Education

Public Health Congress 2018

July 23-24, 2018

July 23-24, 2018 Melbourne, Australia

5

th

World Congress on

Public Health, Nutrition & Epidemiology

Lynn Cheong et al., J Community Med Health Educ 2018, Volume 8

DOI: 10.4172/2161-0711-C3-038

Exploring the patient journey in weight loss: A social network analysis

Lynn Cheong and Nicole Freene

University of Canberra, Australia

Statement of the Problem:

The rising prevalence and burden of obesity represents an important global health issue. Despite

effective dietary and lifestyle interventions, few succeed with long-term maintenance of weight loss. Whilst interventions have

been developed to serve the best interest of overweight and obese individuals, none have analyzed the social relationships that

individuals may develop or require as they attempt to lose weight over time. There is a need to address the interplay between

weight management and social networks. Using a novel approach, this project aims to explore the networks of overweight

and obese individuals over time, by identifying the people with whom they interact with in their weight loss attempt, to better

understand the influences of social interactions on weight loss behavior and outcomes.

Methodology & Theoretical Orientation:

Social Network Analysis (SNA) is an approach that allows the detailed study of

complex communication and interaction patterns. It is based on the theoretical framework of social network theory. This

project employed a longitudinal mixed-methods approach to SNA. Participants were recruited through advertisements in

various healthcare settings. Data were collected at four points over a 12-month period through surveys and a semi-structured

interview at completion. The network software, E-Net, was used to generate visual representations of individual’s networks,

while qualitative analysis of data assisted in the interpretation of network structures, providing an insider’s view.

Findings:

A total of 17 individuals were recruited. Participants reported small weight loss networks (median 3, range 1-7)

which predominantly included family, friends and coworkers.

Conclusion & Significance:

Participants indicated that the most influential weight loss connection was their spouse. Despite

their reported desire to lose weight, minimal changes was observed in existing networks even with a lack of weight loss over

time. This research highlights the need for future interventions to consider with whom individuals are willing to engage in

their weight loss journey.

Biography

Lynn Cheong is a Clinical Assistant Professor of Pharmacy at the University of Canberra in Australia. She is a Registered Pharmacist with a wide array of

experience in hospital and community pharmacy, as well as government and education. She continues to remain professionally active and strives to advance the

role of pharmacists in improving patient and health system outcomes. Her research interest is in the application of social network analysis theories and techniques

in health service research. Her research lies in the areas of patient-centered care, quality use of medicines, interprofessional education and practice.

Lynn.Cheong@canberra.edu.au