Strategies to Optimize Participation in Diabetes Prevention Programs following Gestational Diabetes: A Focus Group Study
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{"title"=>"Strategies to Optimize Participation in Diabetes Prevention Programs following Gestational Diabetes: A Focus Group Study", "type"=>"journal", "authors"=>[{"first_name"=>"Kaberi", "last_name"=>"Dasgupta", "scopus_author_id"=>"10144594400"}, {"first_name"=>"Deborah", "last_name"=>"Da Costa", "scopus_author_id"=>"7005988793"}, {"first_name"=>"Sabrina", "last_name"=>"Pillay", "scopus_author_id"=>"55669681200"}, {"first_name"=>"Mirella", "last_name"=>"De Civita", "scopus_author_id"=>"6602596237"}, {"first_name"=>"Réjeanne", "last_name"=>"Gougeon", "scopus_author_id"=>"7004182264"}, {"first_name"=>"Aaron", "last_name"=>"Leong", "scopus_author_id"=>"12794363900"}, {"first_name"=>"Simon", "last_name"=>"Bacon", "scopus_author_id"=>"7005591384"}, {"first_name"=>"Stephen", "last_name"=>"Stotland", "scopus_author_id"=>"6602733044"}, {"first_name"=>"V. Tony", "last_name"=>"Chetty", "scopus_author_id"=>"8365419700"}, {"first_name"=>"Natasha", "last_name"=>"Garfield", "scopus_author_id"=>"24400615300"}, {"first_name"=>"Agnieszka", "last_name"=>"Majdan", "scopus_author_id"=>"22635100900"}, {"first_name"=>"Sara", "last_name"=>"Meltzer", "scopus_author_id"=>"13605690800"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-84879812361", "pui"=>"369260738", "doi"=>"10.1371/journal.pone.0067878", "isbn"=>"1932-6203 (Electronic)\\r1932-6203 (Linking)", "sgr"=>"84879812361", "pmid"=>"23861824"}, "id"=>"ecb24baf-abc2-3948-b1f5-151676c58904", "abstract"=>"OBJECTIVE: We performed a qualitative study among women within 5 years of Gestational Diabetes (GDM) diagnosis. Our aim was to identify the key elements that would enhance participation in a type 2 diabetes (DM2) prevention program.\\n\\nRESEARCH DESIGN AND METHODS: Potential participants received up to three invitation letters from their GDM physician. Four focus groups were held. Discussants were invited to comment on potential facilitators/barriers to participation and were probed on attitudes towards meal replacement and Internet/social media tools. Recurring themes were identified through qualitative content analysis of discussion transcripts.\\n\\nRESULTS: Among the 1,201 contacted and 79 eligible/interested, 29 women attended a focus group discussion. More than half of discussants were overweight/obese, and less than half were physically active. For DM2 prevention, a strong need for social support to achieve changes in dietary and physical activity habits was expressed. In this regard, face-to-face interactions with peers and professionals were preferred, with adjunctive roles for Internet/social media. Further, direct participation of partners/spouses in a DM2 prevention program was viewed as important to enhance support for behavioural change at home. Discussants highlighted work and child-related responsibilities as potential barriers to participation, and emphasized the importance of childcare support to allow attendance. Meal replacements were viewed with little interest, with concerns that their use would provide a poor example of eating behaviour to children.\\n\\nCONCLUSIONS: Among women within 5 years of a GDM diagnosis who participated in a focus group discussion, participation in a DM2 prevention program would be enhanced by face-to-face interactions with professionals and peers, provision of childcare support, and inclusion of spouses/partners.", "link"=>"http://www.mendeley.com/research/strategies-optimize-participation-diabetes-prevention-programs-following-gestational-diabetes-focus-1", "reader_count"=>73, "reader_count_by_academic_status"=>{"Unspecified"=>4, "Professor > Associate Professor"=>1, "Librarian"=>2, "Researcher"=>18, "Student > Doctoral Student"=>3, "Student > Ph. D. 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Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1111697"], "description"=>"<p>24 of 29 participants completed an exit questionnaire and 13 had blood tests following pregnancy that permitted computation of a measure of insulin resistance.</p>#<p>Regular physical activity defined as an activity performed at a moderate intensity for a total of 30 minutes throughout the day on most days of the week OR vigorous activity 3 times a week for 20 minutes at a time.</p>€<p>Homeostasis Model Assessment–Insulin resistance (HOMA-IR), Matsuda Index and 1 hour post cibum (1 hr PC) were calculated for 13 participants who underwent 75 g oral glucose tolerance testing with 4 time points at the McGill University Health Centre; HOMA-IR ≥3.6 imply possible hepatic insulin resistance if concomitantly overweight/obese; Matsuda Index ≥3.0 imply possible whole body insulin resistance (Stern SE et al., Diabetes 2005; <a href=\"http://mmatsuda.diabetes-smc.jp/english.html\" target=\"_blank\">http://mmatsuda.diabetes-smc.jp/english.html</a>); 1 hr PC ≥8.61 mmol/L (155 mg/dl) is a marker of cardiovascular risk and insulin resistance (Bardini et al., Diabetes Care 2010).</p>", "links"=>[], "tags"=>["Clinical research design", "Qualitative studies", "Endocrinology", "Diabetic endocrinology", "Reproductive endocrinology", "Non-clinical medicine", "Health care policy", "Health systems strengthening", "Health services research", "nutrition", "obesity", "Obstetrics and gynecology", "Postpartum care", "Public health", "Behavioral and social aspects of health", "preventive medicine", "Sports and exercise medicine", "Women’s health", "Cardiovascular diseases in women"], "article_id"=>739923, "categories"=>["Medicine"], "users"=>["Kaberi Dasgupta", "Deborah Da Costa", "Sabrina Pillay", "Mirella De Civita", "Rejeanne Gougeon", "Aaron Leong", "Simon Bacon", "Stephen Stotland", "V. Tony Chetty", "Natasha Garfield", "Agnieszka Majdan", "Sara Meltzer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0067878.t001", "stats"=>{"downloads"=>1, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Focus_group_participant_characteristics_/739923", "title"=>"Focus group participant characteristics.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-07-04 02:29:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/1111698"], "description"=>"<div><p>Objective</p><p>We performed a qualitative study among women within 5 years of Gestational Diabetes (GDM) diagnosis. Our aim was to identify the key elements that would enhance participation in a type 2 diabetes (DM2) prevention program.</p><p>Research Design and Methods</p><p>Potential participants received up to three invitation letters from their GDM physician. Four focus groups were held. Discussants were invited to comment on potential facilitators/barriers to participation and were probed on attitudes towards meal replacement and Internet/social media tools. Recurring themes were identified through qualitative content analysis of discussion transcripts.</p><p>Results</p><p>Among the 1,201 contacted and 79 eligible/interested, 29 women attended a focus group discussion. More than half of discussants were overweight/obese, and less than half were physically active. For DM2 prevention, a strong need for social support to achieve changes in dietary and physical activity habits was expressed. In this regard, face-to-face interactions with peers and professionals were preferred, with adjunctive roles for Internet/social media. Further, direct participation of partners/spouses in a DM2 prevention program was viewed as important to enhance support for behavioural change at home. Discussants highlighted work and child-related responsibilities as potential barriers to participation, and emphasized the importance of childcare support to allow attendance. Meal replacements were viewed with little interest, with concerns that their use would provide a poor example of eating behaviour to children.</p><p>Conclusions</p><p>Among women within 5 years of a GDM diagnosis who participated in a focus group discussion, participation in a DM2 prevention program would be enhanced by face-to-face interactions with professionals and peers, provision of childcare support, and inclusion of spouses/partners.</p></div>", "links"=>[], "tags"=>["Clinical research design", "Qualitative studies", "Endocrinology", "Diabetic endocrinology", "Reproductive endocrinology", "Non-clinical medicine", "Health care policy", "Health systems strengthening", "Health services research", "nutrition", "obesity", "Obstetrics and gynecology", "Postpartum care", "Public health", "Behavioral and social aspects of health", "preventive medicine", "Sports and exercise medicine", "Women’s health", "Cardiovascular diseases in women", "optimize", "programs", "gestational"], "article_id"=>739924, "categories"=>["Medicine"], "users"=>["Kaberi Dasgupta", "Deborah Da Costa", "Sabrina Pillay", "Mirella De Civita", "Rejeanne Gougeon", "Aaron Leong", "Simon Bacon", "Stephen Stotland", "V. Tony Chetty", "Natasha Garfield", "Agnieszka Majdan", "Sara Meltzer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0067878", "stats"=>{"downloads"=>4, "page_views"=>24, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Strategies_to_Optimize_Participation_in_Diabetes_Prevention_Programs_following_Gestational_Diabetes_A_Focus_Group_Study_/739924", "title"=>"Strategies to Optimize Participation in Diabetes Prevention Programs following Gestational Diabetes: A Focus Group Study", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-07-04 02:29:53"}
  • {"files"=>["https://ndownloader.figshare.com/files/1111696"], "description"=>"<p>Participant flow.</p>", "links"=>[], "tags"=>["Clinical research design", "Qualitative studies", "Endocrinology", "Diabetic endocrinology", "Reproductive endocrinology", "Non-clinical medicine", "Health care policy", "Health systems strengthening", "Health services research", "nutrition", "obesity", "Obstetrics and gynecology", "Postpartum care", "Public health", "Behavioral and social aspects of health", "preventive medicine", "Sports and exercise medicine", "Women’s health", "Cardiovascular diseases in women"], "article_id"=>739922, "categories"=>["Medicine"], "users"=>["Kaberi Dasgupta", "Deborah Da Costa", "Sabrina Pillay", "Mirella De Civita", "Rejeanne Gougeon", "Aaron Leong", "Simon Bacon", "Stephen Stotland", "V. Tony Chetty", "Natasha Garfield", "Agnieszka Majdan", "Sara Meltzer"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0067878.g001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Participant_flow_/739922", "title"=>"Participant flow.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-07-04 02:29:53"}

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Relative Metric

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