Implications for Self-Management among African Caribbean Adults with Noncommunicable Diseases and Mental Health Disorders: A Systematic Review
Abstract
:1. Introduction
2. Materials and Methods
- Population: African Caribbean adults with one or more NCDs, including type 2 diabetes, hypertension, hyperlipidemia, cardiovascular conditions.
- Intervention: Treatment for type 2 diabetes, hypertension, and hyperlipidemia, including exercise, healthy eating, blood glucose testing, and medication.
- Comparator: Usual care.
- Outcomes: Successful NCD self-management, successful mental health outcomes.
2.1. Search Strategy
2.2. Data Extraction
2.3. Quality Appraisal/Risk of Bias
2.4. Data Synthesis
3. Results
3.1. Data Synthesis
3.1.1. Comorbid Mental Health Problems and Chronic NCDs
3.1.2. Factors That Mitigate or Mediate the Association between Mental Health Problems and Chronic NCDs
Factors Influencing Self-Management
Association between Mental Health and NCD Outcomes
- Risk Factors
3.1.3. Varied Results
4. Discussion
Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Author, Year | Purpose | Design | Location/ Country | Sample | Age Range | Ethnicity | Measures | Key Findings |
---|---|---|---|---|---|---|---|---|
[20] | To examine the association between stroke, vascular risk factors, and depression | Cross-sectional | South London | 287 | 55–75 | African Caribbean | Stroke, HTN, T2D, angina, height, weight, waist to hip, smoking, and physical activity |
|
[21] | To test whether differences between race and ethnic groups exist for major depressive disorder (MDD) and generalized anxiety disorder (GAD) with one or more chronic medical conditions | Cross-sectional | US | 5889 | 18+ | African American, African Caribbean, and European American | Socio-economic status, MDD, GAD, and chronic medical conditions |
|
[22] | To determine any associations among patient demographics, comorbidities, and cardiovascular/depressive symptoms | Cross-sectional | Trinidad and Tobago | 1203 | 18+ | South Asian, African Caribbean, Multiracial/Other | HTN, cerebro-vascular events, kidney disease, pulmonary disease, and depression |
|
[23] | To describe the statistical prevalence of depression in type 2 diabetes (T2D) | Cross-sectional | Trinidad and Tobago | 128 | 21+ | Indo-Trinidadian | Socioeconomic status, glucose control, medical complications, and depression |
|
[24] | To assess associations between depressive symptoms and perceived stress with beta-cell function | Cross-sectional | Miami, Dade, and Broward CountiesFlorida/US | 462,696 | 18+ | African and Haitian Americans | Fasting plasma glucose, weight, height, waist circumference, blood pressure, lipid panel, serum insulin concentration, Beck depression inventory, depression, and stress |
|
[25] | To determine the prevalence of metabolic syndrome in patients with severe mental illness | Cross-sectional | Island of Curacao | 350 | 18–84 | African Caribbean | Cardiovascular disease, HTN, hyper-glycemia, T2D, obesity, total cholesterol, metabolic syndrome, psychiatric diagnoses, and substance disorder and use |
|
[26] | To examine the associations between positive optimistic orientation and LS7 among African Americans | Cross-sectional | Jackson, MS/US | 4734 | 35–85 | African American | Optimism, LS7 components, demographics, socioeconomic status, depression HTN, HLD, and blood glucose |
|
[27] | To demonstrate the cumulative effects of individual psychosocial factors and CVD risk factors by sex | Cross-sectional | Jackson, MS/US | 4806 | 35–84 | African American | Cynicism, anger, depression, global and weekly stress, major life events, cardiovascular disease, and risk factors |
|
[28] | To compare differing racial/ethnic populations for associations between NCDs and medical comorbidities | Cross-sectional | US | 6082 | 18+ | African American, African Caribbean, European American | Demographics, NCDs, medical comorbidities, GAD, and MDD |
|
[29] | To examine the ability for depression, anxiety, and social support to predict cardiovascular disease risk in those with no previous cardiovascular events | Cross-sectional | Southern US | 57 | 35–74 | African American | Social support, cardiovascular disease risk, depression, and anxiety |
|
[30] | To describe the experiences of older adult Haitian Immigrants in managing T2D | Qualitative, Observational | Northern US | 20 | 65+ | Haitian Immigrants | HbA1c, HTN, emotions, culture, and education |
|
[31] | To acquire the basic health information of the Haitian adult population living in Chile | Cross-sectional | Chile | 499 | 18+ | Haitian born immigrants in Chile | BMI, blood pressure, lipids, nutritional status, diabetes, substance use, quality of life, physical activity, mood, and depression, and renal function |
|
[32] | To assess the prevalence and correlation of depression and T2D self-management and control | Cross-sectional | Northern Manhattan/US | 360 | 35–70 | Hispanics of Caribbean Origin | Depression, antidepressant use, stressful life events, education, HbA1c, and medication adherence. |
|
[33] | To assess associations between diabetes- related stress and predicted cardiovascular risks and complications. | Cross-Sectional | East Oakland, US | 48 | 40–80 | European American, African Caribbean, Asian-Indian | PAID scores, HbA1c, HDL, LDL, Afib, BP, and smoking status |
|
Study | [20] | [32] | [24] | [31] | [25] | [29] | [27] | [28] | [23] | [21] | [23] | [22] | [26] |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Was the research question or objective in this paper clearly stated? | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
Was the study population clearly specified and defined? | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
Was the participation rate of eligible persons at least 50%? | Y | Y | NR | Y | NR | NR | NR | Y | Y | NR | Y | Y | NR |
Were all the subjects selected or recruited from the same or similar populations (including the same time period)? Were inclusion and exclusion criteria for being in the study prespecified and applied uniformly to all participants? | Y | Y | N | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
Was a sample size justification, power description, or variance and effect estimates provided? | Y | Y | N | Y | Y | Y | NA | Y | Y | Y | Y | Y | Y |
For the analyses in this paper, were the exposure(s) of interest measured prior to the outcome(s) being measured? | Y | Y | Y | Y | Y | Y | NA | Y | Y | Y | Y | Y | NA |
Was the timeframe sufficient so that one could reasonably expect to see an association between exposure and outcome if it existed? | Y | NA | NA | Y | NA | NA | NA | Y | Y | Y | NA | Y | NA |
For exposures that can vary in amount or level, did the study examine different levels of the exposure as related to the outcome (e.g., categories of exposure, or exposure measured as continuous variable)? | NA | Y | Y | NA | Y | N | Y | NA | NA | NA | NA | NA | NA |
Were the exposure measures (independent variables) clearly defined, valid, reliable, and implemented consistently across all study participants? | NA | Y | Y | Y | Y | Y | Y | NA | NA | NA | NA | NA | Y |
Was the exposure(s) assessed more than once over time? | N | N | N | NA | N | N | N | N | N | N | N | N | N |
Were the outcome measures (dependent variables) clearly defined, valid, reliable, and implemented consistently across all study participants? | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y |
Were the outcome assessors blinded to the exposure status of participants? | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA | NA |
Was loss to follow-up after baseline 20% or less? | Y | Y | NR | Y | Y | NR | NA | Y | Y | Y | Y | Y | NA |
Were key potential confounding variables measured and adjusted statistically for their impact on the relationship between exposure(s) and outcome(s)? | NA | Y | Y | NA | Y | Y | Y | Y | Y | Y | Y | Y | Y |
Quality Score (Good, Fair, or Poor) | Good | Good | Fair | Good | Good | Good | Good | Good | Good | Good | Good | Good | Good |
No. | Item | Guide Questions | Description |
---|---|---|---|
Domain 1: Research team and reflexivity | |||
Personal characteristics | |||
1 | Interviewer/facilitator | Which author/s conducted the interview or focus group? | CMN |
2 | Credentials | What were the researcher’s credentials?, e.g., PhD, MD | PhD |
3 | Occupation | What was their occupation at the time of the study? | Research Scholar |
4 | Gender | Was the researcher male or female? | F |
5 | Experience and training | What experience or training did the researcher have? | Previous experience in qualitative research |
Relationship with participants | |||
6 | Relationship established | Was a relationship established prior to study commencement? | No |
7 | Participant knowledge of the interviewer | What did the participants know about the researcher?, e.g., personal goals, reasons for doing the research | Unknown |
8 | Interviewer characteristics | What characteristics were reported about the interviewer/facilitator?, e.g., Bias, assumptions, reasons and interests in the research topic. | None |
Domain 2: Study Design | |||
Theoretical framework | |||
9 | Methodological orientation and theory | What methodological orientation was stated to underpin the study?, e.g., grounded theory, discourse analysis, ethnography, phenomenology, content analysis | Descriptive data analysis |
Participant selection | |||
10 | Sampling | How were participants selected?, e.g., purposive, convenience, consecutive, snowball | Recruitment through flyers and meeting inclusion criteria. |
11 | Method of approach | How were participants approached?, e.g., face-to-face, telephone, mail, email | Flyers at local churches. |
12 | Sample size | How many participants were in the study? | 20 |
13 | Non-participation | How many people refused to participate or dropped out? Reasons? | unknown |
Setting | |||
14 | Setting of data collection | Where was the data collected?, e.g., home, clinic, workplace | Face to face |
15 | Presence of nonparticipants | Was anyone else present besides the participants and researchers? | Unknown |
16 | Description of sample | What are the important characteristics of the sample?, e.g., demographic data, date | Haitian adults aged 65 or older, type 2 diabetes for at least one year, living in the US. |
Data collection | |||
17 | Interview guide | Were questions, prompts, guides provided by the authors? Was it pilot tested? | Yes |
18 | Repeat interviews | Were repeat interviews carried out? If yes, how many? | No |
19 | Audio/visual recording | Did the research use audio or visual recording to collect the data? | Yes, audio recordings |
20 | Field notes | Were field notes made during and/or after the interview or focus group? | Yes |
21 | Duration | What was the duration of the inter views or focus group? | 40–90 min |
22 | Data saturation | Was data saturation discussed? | Yes |
23 | Transcripts returned | Were transcripts returned to participants for comment and/or correction? | No |
Domain 3: Analysis and findings | |||
Data analysis | |||
24 | Number of data coders | How many data coders coded the data? | 2 |
25 | Description of the coding tree | Did authors provide a description of the coding tree? | Yes |
26 | Derivation of themes | Were themes identified in advance or derived from the data? | Themes were derived from the data |
27 | Software | What software, if applicable, was used to manage the data? | NVivo 12 software IBM SPSS Statistics for Windows |
28 | Participant checking | Did participants provide feedback on the findings? | No |
Reporting | |||
29 | Quotations presented | Were participant quotations presented to illustrate the themes/findings? Was each quotation identified?, e.g., participant number | Yes, quotations were presented and identified |
30 | Data and findings consistent | Was there consistency between the data presented and the findings? | Yes |
31 | Clarity of major themes | Were major themes clearly presented in the findings? | Yes |
32 | Clarity of minor themes | Is there a description of diverse cases or discussion of minor themes? | Yes |
Themes | Supporting Studies |
---|---|
1. Prevalence of comorbidity mental health problems and chronic noncommunicable diseases | [20,21,22,23,24,25,26,27,28,29] |
2. Factors that mitigate or mediate the association between mental health problems and chronic noncommunicable diseases | [23,24,25,26,27,28,30,31,32,33,34] |
2a. Factors influencing self-management | [26,27,29,30] |
2b. Association between mental health and noncommunicable disease outcomes | [22,23,24,25,26,27,28,29,30,32,33] |
2b1. Risk Factors | [23,24,25,26,27,28,31,32,33] |
2b2. Protective Factors | [24,31,33] |
3. Varied results | [27,28,29] |
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Magny-Normilus, C.; Hassan, S.; Sanders, J.; Longhurst, C.; Lee, C.S.; Jurgens, C.Y. Implications for Self-Management among African Caribbean Adults with Noncommunicable Diseases and Mental Health Disorders: A Systematic Review. Biomedicines 2022, 10, 2735. https://doi.org/10.3390/biomedicines10112735
Magny-Normilus C, Hassan S, Sanders J, Longhurst C, Lee CS, Jurgens CY. Implications for Self-Management among African Caribbean Adults with Noncommunicable Diseases and Mental Health Disorders: A Systematic Review. Biomedicines. 2022; 10(11):2735. https://doi.org/10.3390/biomedicines10112735
Chicago/Turabian StyleMagny-Normilus, Cherlie, Saria Hassan, Julie Sanders, Catrina Longhurst, Christopher S. Lee, and Corrine Y. Jurgens. 2022. "Implications for Self-Management among African Caribbean Adults with Noncommunicable Diseases and Mental Health Disorders: A Systematic Review" Biomedicines 10, no. 11: 2735. https://doi.org/10.3390/biomedicines10112735
APA StyleMagny-Normilus, C., Hassan, S., Sanders, J., Longhurst, C., Lee, C. S., & Jurgens, C. Y. (2022). Implications for Self-Management among African Caribbean Adults with Noncommunicable Diseases and Mental Health Disorders: A Systematic Review. Biomedicines, 10(11), 2735. https://doi.org/10.3390/biomedicines10112735