A Multilevel Diabetes and CVD Risk Reduction Intervention in African American Churches: Project Faith Influencing Transformation (FIT) Feasibility and Outcomes

Berkley‐Patton, Jannette; Thompson, Carole Bowe; Bauer, Alexandria; Berman, Marcie; Bradley-Ewing, Andrea; Goggin, Kathy; Catley, Delwyn; Allsworth, Jenifer E.

doi:10.1007/s40615-020-00740-8

Cited by 27 publications

(23 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The remaining studies described prompts targeting PA only (51)(52)(53)(54), diet only (55) or no health behaviour targets within the prompts (prompts were intended to direct participants to an associated platform to view program content) (56,57). Prompt content was tailored to broad groups or populations in five studies based on the religion (58) or culture (59)(60)(61)(62) of the target groups. An additional 13 studies tailored the prompt content to individual participants based on their goals (55,63,64), previous behaviours (51,52,(65)(66)(67)(68), T2D risk level (69), or stage of change (70)(71)(72).…”

Section: Mhealth Prompt Contentmentioning

confidence: 99%

“…Only six studies (18%) reported use (or intended use in the case of protocol papers) of a fidelity check to ensure that prompts were being delivered as intended. These checks included asking participants whether they received the prompts (58,59,72), or by assessing communication reports to determine the number of prompts sent versus the number intended to be sent (52,65,79). Additional information pertaining to prompting content can be found in Table 2.…”

Section: Mhealth Prompt Deliverymentioning

confidence: 99%

See 1 more Smart Citation

mHealth prompts within diabetes prevention programs: a scoping review

MacPherson¹,

Merry²,

Locke³

et al. 2022

mHealth

View full text Add to dashboard Cite

Background: Mobile health (mHealth) prompts (e.g., text messaging, push notifications) are a commonly used technique within behaviour change interventions to prompt or cue a specific behaviour. Such prompts are being increasingly integrated into diabetes prevention programs (DPPs). While mHealth prompts provide a convenient and cost-effective way to reinforce behaviour change, no reviews to date have examined mHealth prompt use within DPPs. This scoping review aims to: (I) understand how mHealth prompts are being used within behaviour change interventions for individuals at risk for developing type 2 diabetes (T2D); and (II) provide recommendations for future mHealth prompt research, design, and application. Methods: The scoping review methodology outlined by Arksey and O'Malley were followed. Medline, CINAHL, PsycInfo, Web of Science, and SportDiscus were searched. The search strategy combined keywords relating to T2D risk and mHealth prompts in conjunction with database-controlled vocabulary when available (e.g., MeSH for Medline).Results: Of the 4,325 publications screened, 44 publications (based on 33 studies) met the inclusion criteria and were included for data extraction. Text messaging was the most widely used mHealth prompt (73%) followed by push notifications (21%). Only 30% of studies discussed the theoretical basis for prompt content and time of day messages were sent, and only 27% provided justification for prompt timing and frequency.Fourteen studies assessed participant satisfaction with mHealth prompts of which only two reported dissatisfaction due to either prompting frequency (hourly) or message content (solely focused on weight).Nine studies assessed behavioural outcomes including weight loss, physical activity, and diabetes incidence, and found mixed effects overall.Conclusions: While mHealth prompts were well-received by participants, there are mixed effects on the influence of mHealth prompts on behavioural outcomes and diabetes incidence. More thorough reporting of prompt content development and delivery is needed, and more experimental research is needed to identify optimal content, delivery characteristics, and impact on behavioural and clinical outcomes.

show abstract

Section: Mhealth Prompt Contentmentioning

confidence: 99%

Section: Mhealth Prompt Deliverymentioning

confidence: 99%

mHealth prompts within diabetes prevention programs: a scoping review

MacPherson¹,

Merry²,

Locke³

et al. 2022

mHealth

View full text Add to dashboard Cite

show abstract

“…17 Church traditions, however, create a culture of role expectations, 3 food traditions, 1 and a blurring of lines between clergy, congregation, and family, 8,18 which may make it difficult for clergy to enact healthy behaviors. 19 In addition, most faith-based interventions 20 -22 focus primarily on congregations, leaving a critical gap in our knowledge regarding health interventions for clergy. 3,14,23,24 While a few clergy-focused interventions noted the importance of spouses and other aspects of family and church culture, 3,8 the programs still enrolled and focused only on clergy.…”

Section: Purposementioning

confidence: 99%

Strategies for Designing Clergy and Spouse Obesity-Related Programs

et al. 2020

View full text Add to dashboard Cite

Purpose: Clergy have influence on the health of congregations and communities yet struggle with health behaviors. Interventions tailored to their occupation-specific demands and unique needs may provide a solution. Qualitative methods were used to identify opportunities and resources for the development of an effective obesity-related program for clergy. Approach: Ninety-minute focus groups were held with clergy (3 groups) and spouses (3 separate groups). Discussion explored: Program target(s); Opportunities and barriers that influence diet, physical activity, and stress-reduction practices; Empowering and culturally relevant health promotion strategies. Setting: All study activities took place in Memphis, TN. Participants: Eighteen clergy and fourteen spouses participated. All clergy were male, all spouses were female. Method: Previous research with clergy informed the interview guide and the PEN-3 framework aided in organizing the coding of clergy and spouse focus groups. Focus groups were audio recorded and transcripts analyzed using NVivo® 12. Results: Themes included: 1) Intervention targets—clergy, spouses, congregations; 2) Opportunities and barriers—making time, establishing boundaries, church traditions, individuals who support and hinder behavior change; 3) Intervention strategies—tools for healthy eating, goal setting, camaraderie, combining face-to-face with eHealth modalities. Conclusion: The relationship between clergy, spouse, and congregation make it important for obesity-related programs to target the unique needs of both clergy and spouses. Strategies should focus on healthy eating and personal connections no matter the modality used.

show abstract

“…It was encouraging that sub-group analysis of the DPP showed that lifestyle intervention tended to be more effective among minority groups with 61-71% reduction in incidence of diabetes compared with 51% reduction among white subjects [24]. Due its success, the DPP approach was implemented in several studies including Hispanics [24] American Indians/Alaska Natives [25], African American [26] and as part of faith-based lifestyle intervention in African American churches [27]. In addition, culturally adapted lifestyle intervention was attempted for prevention of diabetes among Hispanics [28].…”

Section: Lifestyle Changesmentioning

confidence: 99%

“…In addition, culturally adapted lifestyle intervention was attempted for prevention of diabetes among Hispanics [28]. In general, the previous studies were met with limited or partial success because of short duration of followup, high attrition rates, and female preponderance [24][25][26][27][28].…”

Section: Lifestyle Changesmentioning

confidence: 99%

Inequalities in Diabetes in the USA

Mikhail

2020

ADO

View full text Add to dashboard Cite

According to the World Health Organization, equity is the absence of avoidable, unfair, or remediable differences among groups of people, whether those groups are defined socially, economically, demographically or by other means of stratification [1]. Therefore, health equity implies that everyone should have a fair opportunity to attain his/her full health, and that no one should be disadvantaged from achieving this potential [1]. Unfortunately, marked ethnic/racial disparities in the USA exist with respect to almost all aspects of diabetes and its care. Thus, minority groups are disproportionately affected in terms of diabetes incidence and prevalence, metabolic control, complications, prevention, and treatment. The causes of these disparities are complex but obesity among minorities play a major role. The main purpose of this article is to provide an update on ethnic/racial disparities in diabetes in the USA and to discuss the most effective ways of diabetes prevention and treatment among minorities. We used the same terminology for the racial/ethnic group (e.g. Hispanics versus Latinos) as it appears in the corresponding reference. Disparities in Diabetes PrevalenceAccording to 3 surveys conducted by the National Health and Nutrition Examination Surveys (NHANES) between 2011 and 2016, weighted age and sex-adjusted prevalence of total diabetes i.e. diagnosed and undiagnosed was 12.1% for non-Hispanic white, 20.4% for non-Hispanic black, 22.1% for Hispanic and 19.1% for non-Hispanic Asian adults (overall P<0.001) [2]. The prevalence of undiagnosed diabetes generally followed similar pattern: 3.9% for non-Hispanic white, 5.2% for non-Hispanic black, 7.5% for Hispanic, and 7.5% for non-Hispanic Asian adults (overall P < 0.001) [2].Marked heterogeneity in diabetes prevalence are present within the same ethnic group (Table 1).

show abstract

A Multilevel Diabetes and CVD Risk Reduction Intervention in African American Churches: Project Faith Influencing Transformation (FIT) Feasibility and Outcomes

Cited by 27 publications

References 38 publications

mHealth prompts within diabetes prevention programs: a scoping review

mHealth prompts within diabetes prevention programs: a scoping review

Strategies for Designing Clergy and Spouse Obesity-Related Programs

Inequalities in Diabetes in the USA

Contact Info

Product

Resources

About