The Relationship Between Immigration Status and Chronic Kidney Disease Risk Factors in Immigrants and US-Born Adults

Objective:

To understand the relationship between nativity and measures of kidney function including estimated glomerular filtration rate (eGFR) and albumin-to-creatinine ratio (ACR).

Methods:

Seven waves of data from the National Health and Nutrition Examination Survey (2001 – 2014) was analyzed. General linear regression methods were used to assess the relationship between eGFR, ACR and nativity (foreign-born vs US-born). Models were adjusted for length of time in the US, demographic variables, comorbidities, lifestyle factors, and access to healthcare.

Results:

There were 27,111 individuals representing 217,842,257 US adults included in the study. Approximately 26.1% were immigrants, with 40.4% of immigrants having resided <15 years in the US. Among immigrants with <15 years of residence, 51% were Hispanic, and 54.4% had high school or below education. After controlling for demographics and length of time in the US, immigrants were 26% more likely to have an ACR >= 30mg/g (OR=1.26, 95% CI: 1.08 – 1.47); however, after controlling for demographics, length of time, comorbidities, and lifestyle factors the results were no longer significant. Immigrants were significantly less likely to have an eGFR < 60 (OR=0.42, 95%CI: 0.36 – 0.50), which remained after adjustment (OR=0.75, 95%CI: 0.61 – 0.93).

Conclusions:

Immigrants had significantly lower odds of having an eGFR < 60 compared to US-born adults. Additionally, immigrants with >= 15 years in the US had mean eGFR values that were less than immigrants < 15 years in the US, indicating that there is some decrease in kidney function as the length of US residence increases.

Trends in Food Insecurity in the United States from 2011-2017: Disparities by Age, Sex, Race/Ethnicity, and Income

The number of individuals in the United States who report food insecurity doubled between 2005 and 2012, with little research investigating possible disparities across time in food-insecure populations. The aim of this study was to investigate trends in food insecurity between 2001-2017 by sex, race/ethnicity, income, and age. Adults participating in the National Health Interview Survey (NHIS) between 2011-2017 were included in the study. Food insecurity was dichotomized based on affirmative responses to the Food Security Survey Module. Statistical analysis included logistic regression to investigate trends in food insecurity over time by each demographic variable (age, sex, race/ethnicity, income) adjusted by survey year and demographic variables. After adjustment, those ages ≥65 years were 39% less likely (OR = 0.61, 95% CI [0.57,0.65]) to report food insecurity compared to those ages 18-34; females were 23% more likely to be food insecure than males (OR = 1.23, 95% CI [1.19,1.27]); non-Hispanic blacks were 1.7 times more likely (OR = 1.69, 95% CI [1.62,1.76]) to be food insecure than non-Hispanic whites; and a clear gradient existed by income, with lower incomes more likely to be food insecure. Disparities in food insecurity exist across age, race/ethnicity, sex, and income and were consistent over time. These results suggest that targeted programs may be necessary to decrease food insecurity in particularly vulnerable subpopulations, and barriers to access and use of existing programs need to be investigated.

HIV and cardiovascular disease in sub-Saharan Africa: Demographic and Health Survey data for 4 countries

Background

Investigate the relationship between two common cardiovascular diseases and HIV in adults living in sub-Saharan Africa using population data provided through the Demographic and Health Survey.

Methods

Data for four sub-Saharan countries were used. All adults asked questions regarding diagnosis of HIV, diabetes, and hypertension were included in the sample totaling 5356 in Lesotho, 3294 in Namibia, 9917 in Senegal, and 1051 in South Africa. Logistic models were run for each country separately, with self-reported diabetes as the first outcome and self-reported hypertension as the second outcome and HIV status as the primary independent variable. Models were adjusted for age, gender, rural/urban residence and BMI. Complex survey design allowed weighting to the population.

Results

Prevalence of self-reported diabetes ranged from 3.8% in Namibia to 0.5% in Senegal. Prevalence of self-reported hypertension ranged from 22.9% in Namibia to 0.6% in Senegal. In unadjusted models, individuals with HIV in Lesotho were 2 times more likely to have self-reported diabetes (OR = 2.01, 95% CI 1.08–3.73), however the relationship lost significance after adjustment. Individuals with HIV were less likely to have self-reported diabetes after adjustment in Namibia (OR = 0.29, 95% CI 0.12–0.72) and less likely to have self-reported hypertension after adjustment in Lesotho (OR = 0.63, 95% CI 0.47–0.83). Relationships were not significant for Senegal or South Africa.

Discussion

HIV did not serve as a risk factor for self-reported cardiovascular disease in sub-Saharan Africa during the years included in this study. However, given the growing prevalence of diabetes and hypertension in the region, and the high prevalence of undiagnosed cardiovascular disease, it will be important to continue to track and monitor cardiovascular disease at the population level and in individuals with and without HIV.

Conclusions

The odds of self-reported diabetes in individuals with HIV was high in Lesotho and low in Namibia, while the odds of self-reported hypertension in individuals with HIV was low across all 4 countries included in this study. Programs are needed to target individuals that need to manage multiple diseases at once and should consider increasing access to cardiovascular disease management programs for older adults, individuals with high BMI, women, and those living in urban settings.

Team Science, Population Health, and COVID-19: Lessons Learned Adapting a Population Health Research Team to COVID-19

Our multidisciplinary research team is composed of 6 faculty with expertise in internal medicine, nephrology, maternal/fetal medicine, health services research, statistics, and community-based research, and 36 program staff including biostatisticians, nurses, program coordinators, program assistants, and medical assistants/phlebotomists. With the emergence of the COVID-19 pandemic and the impact it was having on our community, especially the ethnic minority population in inner-city Milwaukee, we felt it was critical to stay engaged and figure out how to ask meaningful research questions that are important to the community, are relevant to the times, and will lead to lasting change. While navigating this unprecedented challenge, our research team made difficult decisions but were able to engage our staff and respond to community needs. We organized our lessons learned to serve as a perspective on how to effectively remain committed to vision and serve our communities, while collecting evidence that can inform policy in difficult times.

AKI in Hospitalized Patients with COVID-19 and Seasonal Influenza: A Comparative Analysis

Background

Coronavirus disease 2019 (COVID-19) is often compared with seasonal influenza and the two diseases have similarities, including the risk of systemic manifestations such as AKI. The aim of this study was to perform a comparative analysis of the prevalence, risk factors, and outcomes of AKI in patients who were hospitalized with COVID-19 and influenza.

Methods

Retrospective cohort study of patients who were hospitalized with COVID-19 (n=325) or seasonal influenza (n=433). AKI was defined by Kidney Disease: Improving Global Outcomes (KDIGO) criteria. Baseline characteristics and hospitalization data were collected, and multivariable analysis was performed to determine the independent predictors for AKI.

Results

AKI occurred in 33% of COVID-19 hospitalizations (COV-AKI) and 33% of influenza hospitalizations (FLU-AKI). After adjusting for age, sex, and comorbidity count, the risk of stage 3 AKI was significantly higher in COV-AKI (OR, 3.46; 95% CI, 1.63 to 7.37). Pre-existing CKD was associated with a six- to seven-fold increased likelihood for FLU-AKI and COV-AKI. Mechanical ventilation was associated with a higher likelihood of developing AKI in the COVID-19 cohort (OR, 5.85; 95% CI, 2.30 to 15.63). Black race, after adjustment for comorbidities, was an independent risk for COV-AKI.

Conclusions

Pre-existing CKD was a major risk factor for AKI in both cohorts. Black race (independent of comorbidities) and mechanical ventilation were associated with a higher risk of developing COV-AKI, which is characterized by a higher burden of stage 3 AKI and overall poorer prognosis.

Using a Diabetes Risk Score to Identify Patients Without Diabetes at Risk for New Hyperglycemia in the Hospital

OBJECTIVE

To assess the value of a validated diabetes risk test, the Cambridge Risk Score (CRS), to identify patients admitted to hospital without diabetes at risk for new hyperglycemia (NH).

METHODS

This retrospective cross-sectional study included adults admitted to a hospital over a 4-year period. Patients with no diabetes diagnosis and not on antidiabetics were included. The CRS was calculated for each patient, and those with available glycated hemoglobin (HbA1C) results were investigated in a second analysis. Multivariate regression analyses were performed to assess the association among CRS, HbA1C, and the risk for NH.

RESULTS

A total of 19,830 subjects comprised the sample, of which 38% were found to have developed NH, defined as a blood glucose level ≥140 mg/dL. After accounting for covariates, the CRS was significantly associated with NH (odds ratio [OR], 1.19 [1.16, 1.22]; P < .001). Only 17% of patients had their HbA1C values checked within 6 months of admission. Compared with patients without diabetes, patients with prediabetes based on their HbA1C level (OR, 1.59 [1.37, 1.86]; P < .001) and patients with undiagnosed diabetes (OR, 5.95 [3.50, 10.65]; P < .001) were also significantly more likely to have NH.

CONCLUSION

Results of this study show that the CRS and HbA1C levels were significantly associated with the risk of developing NH in inpatient adults without diabetes. Given that an HbA1C level was missing in most medical records of hospitalized patients without diabetes, the CRS could be a useful tool for early identification and management of NH, possibly leading to better outcomes.

Age and Gender Differences in Trends and Impact of Depression on Quality of Life in the United States, 2008 to 2016

BACKGROUND

We aimed to examine age and gender differences in the relationship between depression and quality of life among United States adults.

METHODS

Medical Expenditure Panel Survey data for 2008 to 2016 on 227,663 adults were analyzed. The dependent variable, quality of life, included physical component summary scores and mental component summary scores from the Short Form Health Survey. The key independent variable, depression, was measured using the two-item Patient Health Questionnaire. General linear regression models examined the relationship between quality of life and depression. Models were adjusted for individual and environmental characteristics, symptom status, functional and biological status, and health perceptions and were stratified by gender and age.

RESULTS

In adjusted models, mental component summary scores were significantly lower among those with depression compared with those without depression (β = -0.39; 95% confidence interval [CI], 0.38 to -1.16) and lower among women compared with men (β = -0.10; 95% CI, 0.10 to -1.31). Models stratified by gender and age found women with depression ages 40 to 64 (β = -0.07; 95% CI, 0.07 to -0.20) and 65 or older (β = -0.08; 95% CI, 0.08 to -0.24) had significantly lower physical component summary scores compared with those without depression. Among men with depression, those ages 18 to 39 (β = -0.03; 95% CI, 0.03 to -0.10) and 40 to 64 (β = -0.09, 95% CI, 0.08 to -0.26) had lower physical component summary scores compared with those without depression. Women and men of all ages with depression had significantly lower mental component summary scores compared with those without depression.

CONCLUSIONS

Public health interventions and clinical approaches to address depression in women and men should target functional status in men and perceptions of health in women.

Cost-effectiveness of financial incentives to improve glycemic control in adults with diabetes: A pilot randomized controlled trial

Purpose

Determine the cost-effectiveness of three financial incentive structures in obtaining a 1% within group drop in HbA1c among adults with diabetes.

Methods

60 African Americans with type 2 diabetes were randomized to one of three financial incentive structures and followed for 3-months. Group 1 (low frequency) received a single incentive for absolute HbA1c reduction, Group 2 (moderate frequency) received a two-part incentive for home testing of glucose and absolute HbA1c reduction and Group 3 (high frequency) received a multiple component incentive for home testing, attendance of weekly telephone education classes and absolute HbA1c reduction. The primary clinical outcome was HbA1c reduction within each arm at 3-months. Cost for each arm was calculated based on the cost of the intervention, cost of health care visits during the 3-month time frame, and cost of workdays missed from illness. Incremental cost effectiveness ratios (ICER) were calculated based on achieving a 1% within group drop in HbA1c and were bootstrapped with 1,000 replications.

Results

The ICER to decrease HbA1c by 1% was $1,100 for all three arms, however, bootstrapped standard errors differed with Group 1 having twice the variation around the ICER coefficient as Groups 2 and 3. ICERs were statistically significant for Groups 2 and 3 (p<0.001) indicating they are cost effective interventions.

Conclusions

Given ICERs of prior diabetes interventions range from $1,000-$4,000, a cost of $1,100 per 1% within group decrease in HbA1c is a promising intervention. Multi-component incentive structures seem to have the least variation in cost-effectiveness.

Relationship between physical and mental health comorbidities and COVID-19 positivity, hospitalization, and mortality

BACKGROUND

Understanding the association between separate and combined mental and physical health diagnoses and COVID-19 outcomes is greatly needed to address the severity of illness.

METHODS

Data on 24,034 patients screened for COVID-19 as of July 2020 were extracted from the Froedtert/Medical College of Wisconsin Epic medical record. COVID-19 outcomes were defined as positive screens, proportion hospitalized among positive screens, and proportion that died among positive and hospitalized population. The primary independent variable was a 3-category variable: physical health diagnosis alone, mental health diagnosis alone, and combined mental and physical health diagnoses. Logistic regression and Cox proportional hazard models were used to examine the independent relationship between separate and combined diagnoses and COVID-19 outcomes.

RESULTS

Compared to physical health diagnosis alone, mental health diagnosis alone had lower odds of screening positive (OR=0.68, CI=0.51;0.92) and was not associated with hospitalization or mortality among positive screens. Combined had lower odds of screening positive (OR=0.78, CI=0.69;0.88) and higher odds of hospitalization among positive screens after adjusting for demographics (OR=1.58, CI=1.20;2.08) but lost significance in the fully adjusted model. No category of diagnoses was associated with mortality.

LIMITATIONS

Analysis is cross-sectional and cannot speak to any causal relationships.

CONCLUSIONS

Overall, compared to physical health diagnosis alone, mental health diagnosis and combined had lower odds of positive screens. However, individuals with combined were more likely to be hospitalized, after adjusting for demographics only. These findings add new evidence for risk of COVID-19 and related hospitalization in individuals who have a physical and mental health diagnosis.

Association between Health and Wealth among Kenyan Adults with Hypertension

Background:

This paper examines the relationship between hypertension and wealth in a national sample of Kenyan adults.

Methods:

Data from 27,552 individuals from the Demographic and Health Survey Program (DHS) for Kenya were analyzed. Wealth index, a cumulative measure of household standard of living, was the outcome. The final analysis was stratified by gender with covariates added in blocks (demographics, economic, and cultural) to investigate the independent association of hypertension with wealth index.

Results:

Approximately 7.6% of those with hypertension had a wealth index above the median. For women and men, hypertension was significantly associated with higher wealth index (women ß=0.26; CI=0.19; 0.34; men ß=0.36; CI=0.19; 0.53). After adjusting for age, rural location, children, employment, education, ethnicity, and religion, hypertension maintained statistical significance with wealth index for both women and men (women ß=0.06; CI=0.01; 0.11; men ß=0.20; CI=0.08; 0.31).

Conclusions:

As Kenya as a nation undergoes health care reform while also experiencing a high burden of hypertension, the results presented here provide preliminary evidence that may be used in support for decision makers for the wealth effects of health interventions. Additional work is needed to understand the longitudinal relationship between hypertension and wealth at the national level.

Association between pregestational diabetes and mortality among appropriate-for-gestational age birthweight infants

BACKGROUND/OBJECTIVE

Existing studies have shown that pregestational diabetes is a significant risk factor for adverse birth outcomes. However, it is unclear, whether pregestational diabetes and neonatal birthweight that is appropriate for the gestational age (AGA), a proxy for overall adequate glycemic control, is associated with higher infant mortality. To address this controversy, this study investigated the relationship between pregestational diabetes and infant mortality in appropriate-for-gestational age infants in the United States.

METHODS

Data from the National Vital Statistics System-Linked Birth-Infant Death dataset, including 6,962,028 live births between 2011 and 2013 were analyzed. The study was conducted in the US and data were analyzed in Milwaukee, Wisconsin. The outcome was mortality among AGA newborns, defined as annual deaths per 1000 live births with birthweights between the 10th and 90th percentiles for gestational age delivering at ≥37 weeks. The exposure was pregestational diabetes. Covariates were maternal demographics, behavioral/clinical, and infant factors. Logistic regression was used with p values <.05 considered statistically significant.

RESULTS

A total of 6,962,028 live births met inclusion criteria. Of these, a total of 11,711 (1.0%) term AGA birthweight infants died before their first birthday. About 35,689 (0.5%) mothers were diagnosed with pregestational diabetes prior to pregnancy with 0.3% of infants whose mothers had diabetes dying in their first year of life. In the unadjusted model, pregestational diabetes had a significant association with increased odds of mortality in term AGA infants (OR: 1.9, 95% CI: 1.6 - 2.3). AGA mortality remained significantly higher for women with pregestational diabetes compared to controls, after adjusting for maternal demographics (OR: 1.9, 95% CI: 1.6-2.3), behavioral/clinical characteristics (OR: 1.6, 95% CI: 1.3-2.0), and infant factors (OR: 1.3, 95% CI: 1.1-1.6).

CONCLUSIONS

In term pregnancies, pregestational diabetes was significantly associated with 30% higher mortality among AGA birthweight infants. Our study is innovative in its focus on AGA infants that overall is associated with good maternal glycemic control during pregnancy and in theory should confer a risk for infant mortality that is similar to pregnancies not complicated by pregestational diabetes. Despite this, we still found that even term AGA infants have higher risk of mortality in the setting of maternal pregestational diabetes. Implications of our findings underscore the importance of close antepartum surveillance and optimization of glycemic control preconception, identification of treatment targets, and health policies to reduce infant mortality. The results from this study may assist other researchers and clinicians understand how best to target future interventions to reduce term infant mortality and the burden of pregestational diabetes in the United States.

Financial incentives to improve glycemic control in African American adults with type 2 diabetes: a pilot randomized controlled trial

Background

Financial incentives is emerging as a viable strategy for improving clinical outcomes for adults with type 2 diabetes. However, there is limited data on optimal structure for financial incentives and whether financial incentives are effective in African Americans with type 2 diabetes. This pilot study evaluated impact of three financial incentive structures on glycemic control in this population.

Methods

Sixty adults with type 2 diabetes were randomized to one of three financial incentive structures: 1) single incentive (Group 1) at 3 months for Hemoglobin A1c (HbA1c) reduction, 2) two-part equal incentive (Group 2) for home testing of glucose and HbA1c reduction at 3 months, and 3) three-part equal incentive (Group 3) for home testing, attendance of weekly telephone education classes and HbA1c reduction at 3 months. The primary outcome was HbA1c reduction within each group at 3 months post-randomization. Paired t-tests were used to test differences between baseline and 3-month HbA1c within each group.

Results

The mean age for the sample was 57.9 years and 71.9% were women. Each incentive structure led to significant reductions in HbA1c at 3 months with the greatest reduction from baseline in the group with incentives for multiple components: Group 1 mean reduction = 1.25, Group 2 mean reduction = 1.73, Group 3 mean reduction = 1.74.

Conclusion

Financial incentives led to significant reductions in HbA1c from baseline within each group. Incentives for multiple components led to the greatest reductions from baseline. Structured financial incentives that reward home monitoring, attendance of telephone education sessions, and lifestyle modification to lower HbA1c are viable options for glycemic control in African Americans with type 2 diabetes.

Trial registration

Trial registration: NCT02722499. Registered 23 March 2016, url.

Trends in prevalence of depression and serious psychological distress in United States immigrant and non-immigrant populations, 2010 - 2016

OBJECTIVE

To examine the prevalence of depression and serious psychological distress (SPD) among adult United States (US) immigrants and US-born; and to investigate trends in depression and SPD.

METHODS

National Health Interview Survey data (2010 - 2016) was analyzed. Chi-square tests were used to measure differences in prevalence of SPD between US-born and immigrants, and differences in prevalence of depression. Logistic regression models were used to measure the association between mental health outcomes (depression, SPD) and predictors (nativity, length of residence). General linear models were used to investigate depression and SPD trends.

RESULTS

101,142 US adults were included in the analysis. Immigrants were found to be 11% (OR 0.89, 95% CI [0.85,0.95]) less likely to suffer from depression compared to US-born. US-born (p<0.0001) had a higher prevalence of depression compared to immigrants, and prevalence of depression decreased overtime (p=0.011) for immigrants and US-born individuals. Immigrants who lived in the US 15+ years were 17% (OR 1.17, 95% CI [1.00,1.36]) more likely to have SPD compared to those who were born in the US. Among immigrants, as length of residence increased the prevalence of SPD (p=0.002) and depression (p<0.0001) increased.

LIMITATIONS

This study examines immigrants as an entire population, not accounting for differences in immigrant status or immigrant ethnicity.

CONCLUSIONS

While the prevalence of depression is lower in immigrants compared to US-born, being an immigrant in the US for more than 15 years increases risk of SPD to the point of surpassing that of US-born individuals and increases risk of depression.

Trends in Medical Expenditures by Race/Ethnicity in Adults with Type 2 Diabetes 2002-2011

OBJECTIVE

The objective of the study was to examine racial/ethnic differences in medical expenditures (prescription, office-based, in-patient, out-patient, emergency room, total) over time, overall and by type of expenditure, in a nationally representative sample of adults with diabetes.

METHODS

A weighted sample of 17,820,243 adults aged ≥18 with diabetes from the Medical Expenditure Panel Survey (MEPS) dataset from 2002 to 2011 were analyzed for this study. Multiple comparison testing and general linear model (GLM) were used to test for differences in expenditures by race. Total unadjusted expenditures by racial/ethnic category stratified by different insurance categories (privately insured, publicly insured, uninsured and overall) were also estimated.

RESULTS

Non-Hispanic Whites (NHW) had more than $4000 higher expenditures than Hispanics and Other races (p < 0.0001). Prescription costs were about $410 less for Non-Hispanic Blacks (NHB) (p < 0.0001), and more than $600 less for Hispanics (p < 0.0001) and Others (p < 0.0001) compared to NHW.

CONCLUSION

Minority groups with type 2 diabetes were found to have significantly less total expenditures, with the exception of total expenditures for NHB compared to NHW. These findings indicate minorities with type 2 diabetes may be receiving less care than NHW, which has implications for the known disparities in health outcomes and complications in individuals with diabetes.

Examining racial and ethnic trends and differences in annual healthcare expenditures among a nationally representative sample of adults with arthritis from 2008 to 2016

BACKGROUND

Disparities in health care utilization and outcomes for racial and ethnic minorities with arthritis are well-established. However, there is a paucity of research on racial and ethnic differences in healthcare expenditures and if this relationship has changed over time. Our objectives were to: 1) examine trends in annual healthcare expenditures for adults with arthritis by race and ethnicity, and 2) determine if racial and ethnic differences in annual healthcare expenditures were independent of other factors such as healthcare access and functional disability.

METHODS

We used the Medical Expenditures Panel Survey (2008-2016) to examine trends in annual healthcare expenditures within and between racial and ethnic groups with arthritis (n = 227,663). A two-part model was used to estimate the marginal differences in expenditures by race and ethnicity after adjusting for relevant covariates, including the impact of healthcare access.

RESULTS

Between 2008 and 2016, there were no significant changes in unadjusted healthcare expenditures within any of the racial and ethnic groups, but the trend among non-Hispanic whites did differ significantly from Hispanics and Other. In fully adjusted analysis, mean annual expenditures for non-Hispanic whites was $946, $939, and $1178 more than non-Hispanic blacks, Hispanics, and Other, respectively (p < .001). Healthcare access also independently explained expenditure differences in this population with adults who delayed care spending significantly more ($2629) versus those who went without care spending significantly less (-$1591).

CONCLUSIONS

Race and ethnicity are independent drivers of healthcare expenditures among adults with arthritis independent of healthcare access and functional disability. This underscores the need for ongoing research on the factors that influence persistent racial and ethnic differences in this population.

Examination of the Association Between Latent Variables for Social Determinants of Health and Blood Pressure Control in Immigrants using Structural Equation Modeling

BACKGROUND

Hypertension is responsible for about 12.8% of deaths around the world. Immigrants' risk of developing hypertension increases with length of residency. There is limited work on the role of social determinants of health and blood pressure control in immigrants. We created a theory-based conceptual model for immigrant-specific and general social determinants variables and their relationship to blood pressure.

PURPOSE

Use a theory-based model to identify latent variables for immigrant-specific social determinants using confirmatory factor analysis (CFA) and structural equation modeling (SEM) to test theoretical validity and relationship with blood pressure (BP).

METHODS

CFA was used to identify latent variables for global socioeconomic status, stressors of immigration, adaptation to immigration, acculturation, and burden of disease. SEM was used to test the structural relationships between latent variables and BP.

RESULTS

181 immigrants were included in the analysis. The final model (chi2 (68, n = 181) = 149.87, p < 0.001, RMSEA = 0.055, CFI = 0.94, TLI = 0.91, CD = 0.99) found burden of disease was significantly related to BP (r = 0.35, p < 0.001).

CONCLUSIONS

One latent variable measuring need was significantly associated with BP in an immigrant sample. This suggests that interventions targeting burden of disease are likely to be effective in controlling blood pressure in immigrants.

Telehealth and indigenous populations around the world: a systematic review on current modalities for physical and mental health

Approximately 370-500 million Indigenous people live worldwide. While Indigenous peoples make up only 5% of the world's population, they account for 15% of the extreme poor and have life expectancy that is 20 years shorter than that of non-Indigenous people. Access to healthcare has been identified as an important social determinant of health and key driver of health outcomes. Indigenous populations often face barriers to accessing healthcare including living in remote areas, lacking financial resources, and having cultural differences. Telehealth, the utililzation of any synchronous modality, including phone, video, or teleconferencing technology used to support the provision of long-distance health care and health education, is a feasible and cost-effective treatment delivery mechanism that has successfully addressed access barriers faced by vulnerable populations globally, however, few studies have included indigenous populations and the application of this technology to improve physical and mental health outcomes. This systematic review aims to identify trials that were conducted among Indigenous adults, and to summarize the components of interventions that have been found to effectively improve the health of Indigenous peoples. The PRISMA guidelines for reporting of systematic reviews were followed in preparing this manuscript. Studies were identified by searching PubMed, Scopus, and PsychInfo databases for clinical trial articles on Indigenous peoples and mental and physical health, published between January 1, 1998 and December 31, 2018. Eligibility criteria for determining studies to include in the analysis were as follows: (I) ≥18 years of age; (II) indigenous peoples; (III) any technology-based intervention; (IV) studies included at least one of the following mental health (depression, post-traumatic stress disorder, suicide) and physical health (mortality, blood pressure, hemoglobin A1C, cholesterol, quality of life) outcomes; (V) clinical trials. A total of 2,662 articles were identified and six were included in the final review based on pre-specified eligibility criteria. Three were conducted in the United States, one study was conducted in Canada, and two were conducted in New Zealand. Study sample sizes ranged from 20 to 762, intervention delivery times ranged from three to 20 months and utilized telephone, internet and SMS messaging as the type of technology. There is a paucity of evidence on the use of telehealth programs to increase access to chronic disease programs in Indigenous populations. This review highlights the importance of culturally tailoring programs despite the modality in which they are delivered, and recommends telephone-based delivery facilitated by a trained health professional. Telehealth has great promise for meeting the health needs of highly marginalized Indigenous populations around the world, however, at this point more research is needed to understand how best to structure and deliver these programs for maximum effect.

Prevalence of psychological distress, depression and suicidal ideation in an indigenous population in Panamá

OBJECTIVE

The aim of this study was to investigate the prevalence of serious psychological distress (SPD), depression, and suicidal ideation in an adult Indigenous population in Panamá.

METHODS

Data were collected from 211 Kuna adults using a paper-based survey. Depression and suicidal ideation were measured using the Patient Health Questionnaire (PHQ-9), and SPD was measured using the Kessler-6. Univariate analyses were used to describe demographic variables, followed by chi² tests to compare differences in demographic variables for each of the mental health outcomes (depression, serious psychological distress, suicidal ideation). A regression model, adjusted for all demographic variables, was then run for each mental health outcome to understand independent correlates.

RESULTS

Within the sample surveyed, 6.2% (95% CI 3.4-10.4) reported serious psychological distress, 32.0% (95% CI 25.7-38.9) reported depression, and 22.9% (95% CI 17.4-29.1) reported suicidal ideation. Significant demographic differences existed with 14% of individuals between the age of 60-90 and 17% of individuals with no education reporting SPD. Women were nearly 5 times more likely to report depression than men (OR 4.90, 95% CI 1.27-19.00) and those with higher incomes were less likely to report depression (OR 0.32, 95% CI 0.13-0.78).

CONCLUSION

High levels of depression, SPD, and suicidal ideation were present in an Indigenous Kuna community in Panamá. Women and individuals with low income were more likely to report depression, and SPD was more common in older individuals and those with low levels of education. Suicidal ideation was high across all demographic factors, suggesting that a community-wide program to address suicide may be warranted.

Relationship between social determinants of health and systolic blood pressure in United States immigrants

This study examined the relationship between immigrant specific social determinants of health (SDoH) and blood pressure control. Data on 181 adult immigrants from the Midwestern United States was analyzed. SDoH variables were categorized based on antecedents, predisposing, enabling, and need factors. Systolic blood pressure (SBP) was the primary outcome. Pearson's correlations for the association between SBP and SDoH variables were assessed. Then three different regression approaches were used to assess the relationship of SDoH variables with SBP: sequential model, stepwise regression with backward selection, and all possible subsets regression. About 66% were female and mean age was 45.4 years. Age (r ​= ​0.34, p ​< ​0.001), disability (r ​= ​0.20, p ​= ​0.0001), comorbidities (r ​= ​0.30, p ​< ​0.001), and chronic pain (r ​= ​0.12, p ​= ​0.02) were positively correlated with SBP, and number of hours worked per week (r ​= ​-0.11, p ​= ​0.028) was negatively correlated with SBP. The final sequential model found life-course socioeconomic status (SES) (β ​= ​1.40, p ​= ​0.039), age (β ​= ​0.39, p ​< ​0.001), and male sex (β ​= ​13.62, p ​< ​0.001) to be positively associated with SBP. Stepwise regression found that life-course SES (β ​= ​1.70, p ​= ​0.026), age (β ​= ​0.36, p ​< ​0.001), male sex (β ​= ​13.38, p ​< ​0.001), and homelessness as a child (β ​= ​13.14, p ​= ​0.034) were positively associated SBP. All possible subsets regression found that age (β ​= ​0.44, p ​< ​0.001), male sex (β ​= ​14.50, p ​< ​0.001), and homelessness as a child (β ​= ​14.08, p ​= ​0.027) were positively associated with SBP. This is the first study to use a theory-based model that incorporates social determinants of health and immigrant specific factors to examine the relationship between SDoH and blood pressure control and identifies potential targets for interventions to control BP in immigrants.

Examination of dietary habits among the indigenous Kuna Indians of Panama

Background

Evidence for dietary habits among the Kuna Indians of Panama outside of cacao consumption is limited. Global trends suggest an uptake in processed foods conferring risk for chronic disease. This paper aims to provide information on dietary habits and investigate sociodemographic correlates of diet for the indigenous population living off the coast of Panama.

Methods

This sample included 211 Kuna Indians ages 18 years or older living within the island communities of Ustupu and Ogobsucum. Cross-sectional data was collected using a paper-based survey to assess dietary patterns. Categories of food included: fruits, vegetables, cacao, fish, sodas, fried, junk, and fast foods. Univariate analyses were used to describe demographic variables, followed by chi-squared tests to understand individual correlates of food types.

Results

About 85% reported eating fast food at least weekly, 47% reported eating fried food daily, and 11% reported eating junk food daily. Forty-three percent of the sample population reported eating fish daily. Those with poor incomes reported more fish consumption than any other income group (51%, p = 0.02). After adjusting for all covariates, those in higher income categories were less likely to eat fruits, cacao, and fish daily, but were also less likely to eat fast food weekly and junk food daily. Elderly populations (age 60–90 OR = 12.17, 95%CI 2.00, 73.84), women (OR = 3.43, 95%CI 1.23, 9.56), and those with primary education (OR = 4.83, 95%CI 1.01, 23.0) were also more likely to eat fast food weekly.

Conclusion

This is the first dietary survey study of the Kuna that focuses on food groups outside of cacao. Results suggest the community could benefit from efforts to increase cultivation of fruits and vegetables and reduce the percentage of energy consumption contributed by fast food, fried food, and junk food.

Trial registration

N/A

Prevalence and correlates of diagnosed and undiagnosed hypertension in the indigenous Kuna population of Panamá

BACKGROUND

To determine the prevalence of hypertension and investigate sociodemographic correlates in an indigenous Kuna community living on the San Blas islands of Panama.

METHODS

Data was collected from adults using a paper-based survey using a cross sectional study design. Blood pressure was measured, and hypertension defined at two cut-points: 130/80 mmHg and 140/90 mmHg. Individuals with undiagnosed hypertension had a blood pressure measurement that indicated hypertension, however, the individual had not been told by a doctor they had hypertension. Whereas individuals with diagnosed hypertension had been told by a healthcare provider that they had hypertension. Univariate tests compared diagnosed and undiagnosed hypertension by sociodemographic categories and logistic regression models tested individual correlates adjusting for all sociodemographic factors.

RESULTS

Two hundred and eleven adult indigenous Kuna participated in the study. Overall prevalence of hypertension was 6.2% (95%CI:3.32-10.30) as defined by 140/90 mmHg, and 16.6% (95%CI:11.83-22.31) as defined by 130/80 mmHg. Hypertension was significantly higher in men (31.6, 95% CI:19.90-45.24, compared to 11.0, 95% CI:6.56-17.09). Individuals with low income were 3 times more likely to be hypertensive (OR = 3.13, 95% CI:1.02-9.60) and 3.5 times more likely to have undiagnosed hypertension (OR = 3.42, 95% CI:1.01-11.52); while those with moderate income were 6 times more likely to be hypertensive (OR = 7.37, 95% CI:1.76-30.90) compared to those who were poor.

CONCLUSION

The prevalence of diagnosed and undiagnosed hypertension is higher in men and those with higher income. Investigating these factors remains vitally important in helping improve the health of the Kuna through targeted interventions to address chronic disease.

Racial and Ethnic Differences in Out-of-Pocket Expenses among Adults with Diabetes

BACKGROUND

Racial and ethnic minority groups have a higher prevalence of diabetes, increased risk for adverse complications, and worse health outcomes compared to Non-Hispanic Whites. Evidence suggests they also have higher healthcare expenses associated with diabetes care. Therefore, the objective of this study was to assess racial and ethnic differences in out-of-pocket (OOP) costs among a nationally representative sample of adults with diabetes.

METHODS

Cross-sectional study of 17,702 adults (aged ≥18 years) with diabetes from years 2002-2011 in the Medical Expenditure Panel Survey Household Component. The outcome was OOP expenditures, and the primary predictor was race/ethnicity. Descriptive statistics summarized the sample population. Unadjusted mean values were computed to compare OOP expenses over time. A two-part model was used to estimate adjusted incremental OOP expenses.

RESULTS

For the overall sample, OOP expenditures decreased significantly over time. In addition, compared to NHWs, racial and ethnic minority groups had significantly lower OOP costs per year when adjusted for sociodemographic characteristics, comorbid conditions, and time. NHBs paid $481 less than NHWs; Hispanics paid $591 less than NHWs; and individuals in the 'Other' racial/ethnic category paid nearly $645 less compared to NHWs (p < 0.001).

CONCLUSIONS

Racial/ethnic minority patients with diabetes had significantly less OOP expenses compared to NHWs, possibly due to differences in healthcare utilization. OOP expenses decreased significantly over time for all racial and ethnic groups. Additional research is needed to understand the factors associated with differences in OOP expenditures among racial groups.

Source of Education, Source of Care, Access to Glucometers, and Independent Correlates of Diabetes Knowledge in Ethiopian Adults with Diabetes

BACKGROUND

Knowledge, self-care and access to diabetes-related resources is critical to diabetes management. However, there is paucity of data on source of education, source of care, and access to diabetes-related resources in the developing world, including Ethiopia.

OBJECTIVE

To examine source of education, source of care, access to diabetes-related resources, and correlates of diabetes knowledge in a random sample of adults with diabetes in Ethiopia.

METHODS

A sample of 337 subjects was selected using systematic random sampling. Validated questionnaires were used to obtain data on source of education, source of care, access to diabetes-related resources, and diabetes knowledge. Multiple logistic and linear models were used to assess independent correlates of owning a glucometer and good diabetes knowledge.

RESULTS

Response rate was 91.1%. Correlates of access to glucometer were being ≥55 years of age (OR = 2.6 95% CI 1.0 to 6.73), having high school (OR = 3.5; 95% CI: 1.17 to 10.41) and college education (OR = 5.2; 95% CI: 1.67 to 16.27), higher income (OR = 3.3; 95% CI: 1.19 to 9.19), and receiving DM care in private hospital/clinics (OR = 9.4; 95% CI: 2.24 to 39.31). Independent correlates of poor diabetes knowledge were being age 40-54, being single, lack of education, lower monthly income (0-499 birr or $0 - $18.11), getting DM care from public hospitals, treatment with oral medications, and not owning a glucometer.

CONCLUSIONS

This study provides new insights on source of education, source of care, access to diabetes-related resources (e.g. glucometers, test strips), and correlates of diabetes knowledge in developing countries like Ethiopia that are experiencing an increasing prevalence of diabetes.

Differential Relationships Between Diabetes Knowledge Scales and Diabetes Outcomes

Background Diabetes affects more than 29 million people in the US and requires daily self-management in addition to knowledge of the disease. Three knowledge assessments used are the Michigan Brief Diabetes Knowledge Test (DKT), Starr County Diabetes Knowledge Questionnaire (DKQ), and Kaiser DISTANCE Survey (DISTANCE). Purpose The purpose of the study was to test the discriminate validity of 3 diabetes knowledge scales and determine which is best associated with diabetes self-care and glycemic control. Methods Three hundred sixty-one adults with type 2 diabetes were recruited from primary care clinics. Four analyses were conducted to investigate the validity and relationships of the scale: alpha statistic to test internal validity, factor analysis to determine how much of the variance was explained, Pearson's correlation between the 3 scales, and Pearson's correlation between each scale, self-care, and outcomes. Results The DKQ had an alpha of 0.75, the DKT had an alpha of 0.49, and DISTANCE had an alpha of 0.36. The DKQ was significantly correlated with glycemic control. The DKT scale was significantly associated with general diet, the DISTANCE survey was significantly associated with exercise, and both DKT and DISTANCE were significantly associated with foot care. Conclusion Correlations among the 3 scales were modest, suggesting the scales are not measuring the same underlying construct. These findings indicate that researchers should carefully select scales appropriate for study goals or to appropriately capture the information being sought to inform practice.