Carmen D Samuel-Hodge

Dr. Carmen D Samuel-Hodge


Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2004
Verified
Journal Article
Closed access
MVM Viswanathan
M Viswanathan
AAA Ammerman
A Ammerman
EEE Eng
E Eng
GGG Garlehner
G Garlehner
KLK N Lohr
K N Lohr
LWL Whitener
L Whitener

1 August 2008 in American Journal of Preventive Medicine
Verified
Journal Article
Closed access
JHJack F. Hollis
Jack F. Hollis
CGChristina M. Gullion
Christina M. Gullion
VSVictor J. Stevens
Victor J. Stevens
PBPhillip J. Brantley
Phillip J. Brantley
LALawrence J. Appel
Lawrence J. Appel
LSLaura P. Svetkey
Laura P. Svetkey

1 July 2000 in Diabetes Care
Verified
Journal Article
Open access
PDF file
CSCarmen D Samuel-Hodge
Carmen D Samuel-Hodge
SHS W Headen
S W Headen
ASA H Skelly
A H Skelly
AIA F Ingram
A F Ingram
TKT C Keyserling
T C Keyserling
TET A Elasy
T A Elasy
OBJECTIVE: Many African-American women are affected by diabetes and its complications, and culturally appropriate lifestyle interventions that lead to improvements in glycemic control are urgently needed. The aim of this qualitative study was to identify culturally relevant psychosocial issues and social context variables influencing lifestyle behaviors--specifically diet and physical activity--of southern African-American women with diabetes. RESEARCH DESIGN AND METHODS: We conducted 10 focus group interviews with 70 southern African-American women with type 2 diabetes. Group interviews were audiotaped and transcripts were coded using qualitative data analysis software. A panel of reviewers analyzed the coded responses for emerging themes and trends. RESULTS: The dominant and most consistent themes that emerged from these focus groups were 1) spirituality as an important factor in general health, disease adjustment, and coping; 2) general life stress and multi-caregiving responsibilities interfering with daily disease management; and 3) the impact of diabetes manifested in feelings of dietary deprivation, physical and emotional "tiredness," "worry," and fear of diabetes complications. CONCLUSIONS: Our findings suggest that influences on diabetes self-management behaviors of African-American women may be best understood from a sociocultural and family context. Interventions to improve self-management for this population should recognize the influences of spirituality, general life stress, multi-caregiving responsibilities, and the psychological impact of diabetes. These findings suggest that family-centered and church-based approaches to diabetes care interventions are appropriate.

1 September 2002 in Diabetes Care
Verified
Journal Article
Closed access
PDF file
TKThomas C. Keyserling
Thomas C. Keyserling
CSCarmen D Samuel-Hodge
Carmen D Samuel-Hodge
AAAlice S. Ammerman
Alice S. Ammerman
BABarbara E. Ainsworth
Barbara E. Ainsworth
CHCarlos F. HenríqUez-Roldán
Carlos F. HenríqUez-Roldán
SBShrikant I. Bangdiwala
Shrikant I. Bangdiwala
OBJECTIVE—To determine whether a culturally appropriate clinic- and community-based intervention for African-American women with type 2 diabetes will increase moderate-intensity physical activity (PA). RESEARCH DESIGN AND METHODS—In this randomized controlled trial conducted at seven practices in central North Carolina, 200 African-American women, ≥40 years of age with type 2 diabetes, were randomized to one of three treatment conditions: clinic and community (group A), clinic only (group B), or minimal intervention (group C). The clinic-based intervention (groups A and B) consisted of four monthly visits with a nutritionist who provided counseling to enhance PA and dietary intake that was tailored to baseline practices and attitudes; the community-based intervention (group A) consisted of three group sessions and 12 monthly phone calls from a peer counselor and was designed to provide social support and reinforce behavior change goals; and the minimal intervention (group C) consisted of educational pamphlets mailed to participants. The primary study outcome was the comparison of PA levels between groups assessed at 6 and 12 months by accelerometer, which was worn while awake for 7 days. RESULTS—Totals of 175 (88%) and 167 (84%) participants completed PA assessment at 6 and 12 months, respectively. For comparison of PA, the P value for overall group effect was 0.014. Comparing group A with C, the difference in the average adjusted mean for PA was 44.1 kcal/day (95% CI 13.1–75.1, P = 0.0055). Comparing group B with C, the difference in the average adjusted mean was 33.1 kcal/day (95% CI 3.3–62.8, P = 0.029). The intervention was acceptable to participants: 88% were very satisfied with clinic-based counseling to enhance PA, and 86% indicated that the peer counselor’s role in the program was important. CONCLUSIONS—The intervention was associated with a modest enhancement of PA and was acceptable to participants.

20 March 2013 in Obesity
Verified
Journal Article
Open access
PDF file
DSDori M. Steinberg
Dori M. Steinberg
DTDeborah F. Tate
Deborah F. Tate
GBGary G. Bennett
Gary G. Bennett
SESusan Ennett
Susan Ennett
CSCarmen D Samuel-Hodge
Carmen D Samuel-Hodge
Dianne Stanton WardDianne Stanton Ward
Dianne Stanton Ward
Objective: To examine the impact of a weight loss intervention that focused on daily self‐weighing for self‐monitoring as compared to a delayed control group among 91 overweight adults.Design and Methods: The 6‐month intervention included a cellular‐connected “smart” scale for daily weighing, web‐based weight loss graph, and weekly e‐mails with tailored feedback and lessons. An objective measure of self‐weighing frequency was obtained. Weight was measured in clinic at 3 and 6 months. Caloric intake and expenditure, and perceptions of daily self‐weighing were also measured.Results: Using intent‐to‐treat analyses, the intervention group lost significantly more weight compared to the control group [mean (95% CI); 3 months: −4.41% (−5.5, −3.3) vs. −0.37% (−1.5, 0.76); 6 months: −6.55% (−7.7, −5.4) vs. −0.35% (−1.5, 0.79); group × time interaction: P < 0.001] and a greater percentage achieved 5% (42.6% vs. 6.8%; P < 0.0001) and 10% (27.7% vs. 0%; P < 0.0001) weight loss. On average, the intervention group self‐weighed more days/week (6.1 ± 1.1 vs. 1.1 ± 1.5; P < 0.0001) and consumed fewer calories/day compared to the control group [mean (95% CI); 6 months: 1,509 (1,291, 1,728) vs. 1,856 (1,637, 2,074); group × time interaction: P = 0.006]. Among intervention participants, daily self‐weighing was perceived positively.Conclusions: These results indicate that an intervention focusing on daily self‐weighing can produce clinically significant weight loss.

29 May 2015 in Implementation Science
Verified
Journal Article
Open access
PDF file
JLJennifer Leeman
Jennifer Leeman
LCLarissa Calancie
Larissa Calancie
MHMarieke A. Hartman
Marieke A. Hartman
CECam Escoffery
Cam Escoffery
AHAlison K. Herrmann
Alison K. Herrmann
CSCarmen D Samuel-Hodge
Carmen D Samuel-Hodge
Numerous agencies are providing training, technical assistance, and other support to build community-based practitioners’ capacity to adopt and implement evidence-based prevention interventions. Yet, little is known about how best to design capacity-building interventions to optimize their effectiveness. Wandersman et al. (Am J Community Psychol.50:445–59, 2102) proposed the Evidence-Based System of Innovation Support (EBSIS) as a framework to guide research and thereby strengthen the evidence base for building practitioners’ capacity. The purpose of this review was to contribute to further development of the EBSIS by systematically reviewing empirical studies of capacity-building interventions to identify (1) the range of strategies used, (2) variations in the way they were structured, and (3) evidence for their effectiveness at increasing practitioners’ capacity to use evidence-based prevention interventions. PubMed, EMBASE, and CINAHL were searched for English-language articles reporting findings of empirical studies of capacity-building interventions that were published between January 2000 and January 2014 and were intended to increase use of evidence-based prevention interventions in non-clinical settings. To maximize review data, studies were not excluded a priori based on design or methodological quality. Using the EBSIS as a guide, two researchers independently extracted data from included studies. Vote counting and meta-summary methods were used to summarize findings. The review included 42 publications reporting findings from 29 studies. In addition to confirming the strategies and structures described in the EBSIS, the review identified two new strategies and two variations in structure. Capacity-building interventions were found to be effective at increasing practitioners’ adoption (n = 10 of 12 studies) and implementation (n = 9 of 10 studies) of evidence-based interventions. Findings were mixed for interventions’ effects on practitioners’ capacity or intervention planning behaviors. Both the type and structure of capacity-building strategies may have influenced effectiveness. The review also identified contextual factors that may require variations in the ways capacity-building interventions are designed. Based on review findings, refinements are suggested to the EBSIS. The refined framework moves the field towards a more comprehensive and standardized approach to conceptualizing the types and structures of capacity-building strategies. This standardization will assist with synthesizing findings across studies and guide capacity-building practice and research.