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. Author manuscript; available in PMC: 2012 Nov 20.
Published in final edited form as: Ethn Dis. 2012 Autumn;22(4):473–478.

Profile of Diabetes Mellitus among Immigrants from Guyana: Epidemiology and Implications for Community Action

Ephraim E Back 1, Avinash S Bachwani 1, David S Strogatz 1, Zachary Sherman 1
PMCID: PMC3501736  NIHMSID: NIHMS412889  PMID: 23140079

Abstract

Objective

Prompted by anecdotal evidence of a higher rate of Type 2 diabetes, we set out to investigate the prevalence of diabetes, its risk factors, and co-morbidities among immigrant Guyanese patients being treated in a family medicine health center.

Methods

Patients were ascertained from a registration database of all patients ≥ 30 years old who were treated from 2004 to 2006. We then conducted a detailed retrospective chart review of all Guyanese, Caucasian, African-American, and Hispanic patients with diabetes and randomly selected non-diabetic controls.

Results

Of 222 Guyanese patients, 67 (30.2%) had a diagnosis of diabetes, compared with 47/219 (21.5%) of Hispanics, 132/777 (17.0%) of African-Americans, and 442/2834 (15.6%) of Caucasians (p <0.0001). Compared with the other racial and ethnic groups, the Guyanese diabetic patients were significantly leaner and more likely to be male.

Conclusion

In the population studied, there is a very high prevalence of Type 2 diabetes among Guyanese patients, with unique characteristics when compared with other ethnic and racial groups. These findings have alerted local clinicians to intensify diabetes screening among Guyanese patients. Furthermore, in response to these findings, a broad coalition including public health, clinical, and community groups has been established with the goal of developing culturally appropriate strategies to prevent and control diabetes among Guyanese residents.

Keywords: Guyanese, Guyana, Type 2 diabetes, minorities

INTRODUCTION

Guyana, the third smallest country in South America, is nestled in the north of the continent between Suriname and Venezuela and bordering the Atlantic Ocean. Originally a Dutch colony in the 17th century, Guyana came under British rule in 1815. The abolition of slavery led to black settlement of urban areas and importation of indentured servants from India to work on the sugar plantations.1 According to the 2002 census, the ancestry of the population is 44% East-Indian, 30% African, 17% mixed, and 9% Amerindian. The population is predominantly young with a median age of 23.9 years. Only 4.8% of Guyanese are older than 65 years. Life expectancy is 71.4 years for females and 63.6 years for males. As of July 2011, the population of Guyana was estimated to be 741,908 people.1, 2 According to the Guyanese Ministry of Health, diabetes is ranked as the fourth leading cause of death in the country and the second most prevalent cause of chronic non-communicable disease among individuals above the age of 45 years. 3

Over the past four decades, it is estimated that more than 500,000 people have emigrated from Guyana to North America, with approximately 50,000 people immigrating annually.4 Most of the Guyanese immigrants reside in the Northeastern United States and Canada. In 2006, the Guyanese community was ranked the 5th most populous recent immigrant group in New York City, amounting to a population of 142,946.5

It is estimated that approximately 6,000–10,000 Guyanese have immigrated to Schenectady NY since 2000, Since they are not captured in official census data, absolute statistics are lacking. Spurred by a continuing decline in population (according to census figures, the population of Schenectady dropped 33% from 92,000 in 1950 to 62,000 in 2000), with associated abandoned housing, shuttered store fronts, rising crime rate and a shrinking tax base, the incumbent mayor set out to recruit a new population for the city. 6 Initially, he recruited Guyanese living in Richmond Hills, Queens, NY and later directly from Guyana. These industrious, English-speaking South Americans, largely of Indian heritage (Indo-Guyanese) were offered low cost housing and improved job prospects. The recruitment effort was successful and according to the 2010 census, Schenectady experienced a 7% population increase from 2000 to 2010, thought to be primarily affected by the influx of Guyanese into the city.7

As Guyanese immigrants began to seek medical care in Schenectady, community physicians noted that many had Type 2 diabetes mellitus. Furthermore, diabetes appeared to be more common in younger and leaner men and women than was normally seen among other non-Guyanese patients. These observations led us to conduct an initial retrospective chart review of 140 Guyanese adults seen in our family health center. This initial study revealed an unusually high prevalence of Type 2 diabetes (32.6%), afflicting relatively young (mean age 40.2 years) and lean (66% with BMI <30) Guyanese patients. 8 Medline literature and Google internet searches yielded no reports about diabetes among Guyanese, either in Guyana or in expatriate communities. The absence of information in the medical literature and the results of our initial study prompted us to undertake this study, setting out to characterize diabetes among the Guyanese patients compared to patients of other racial and ethnic groups seen in our primary care health center.

METHODS

Ellis Hospital (formerly St. Clare’s Hospital) is a 300 bed community hospital with a Family Medicine residency program, located in Schenectady, NY. The residency program operates the Family Health Center (FHC), a primary care clinic that serves a diverse urban population. Study patients were ascertained by reviewing an electronic billing database of all patients ≥ 30 years old who were treated at the FHC between May 1, 2004 and April 30, 2006. Elements abstracted from the database included race/ethnicity, age, sex, and ICD-9 diagnosis of diabetes (250.*).

We then conducted a detailed review of paper charts for patients with diabetes and randomly selected non-diabetic controls. The chart review included all Guyanese, African-American, and Hispanic patients with diabetes and a random sample of Caucasian patients with diabetes (chosen to equal the number of diabetic African- American cases). Two controls for each case, matched on race/ethnicity, were randomly selected from the non-diabetic patients of the FHC. Elements abstracted from the charts of all patients included height, weight, calculated body mass index (weight/height2), co-morbid diagnoses of hypertension and hyperlipidemia, and tobacco use. Charts of patients with diabetes were reviewed for accuracy of diabetes diagnosis, HgbA1c levels, and diagnosis of end-organ complications.

Data were compiled using Microsoft Excel spreadsheets & analyzed using EpiInfo version 3.5.1 (CDC) software9. Test statistics were chi square, F test from analysis of variance (ANOVA) or Kruskal-Wallace test, where appropriate. For the case control analysis, odds ratios with 95% confidence intervals were computed to compare correlates of diabetes across the racial and ethnic groups. The study was approved by the St. Clare’s Hospital Institutional Review Board.

RESULTS

A total of 4,285 patients ≥ 30 years old were seen in the FHC during the study period, including 2,834 (66.1%) Caucasian, 777 (18.1%) African-American, 222 (5.2%) Guyanese, 219 (5.1%) Hispanic, and 233 (5.4%) other. Of the 222 Guyanese patients, 67 (30.2%) had been diagnosed with diabetes, compared with 47/219 (21.5%) of Hispanics, 132/777 (17.0%) of African-Americans, and 442/2834 (15.6%) of Caucasians (p <0.0001). Adjusting for age, using the age distribution of the entire FHC patient population, the rank ordering of prevalence was similar (31.6% among Guyanese, 24.4% among Hispanics, 19.2% among African-Americans, and 14.5% among Caucasians). The probability of being diagnosed with diabetes increased with age (Figure 1). By age 50, over 65% of the Guyanese males and 38% of the females seen in the FHC had been diagnosed with diabetes.

Figure 1.

Figure 1

Prevalence of diabetes by race/ethnicity and age range

Case-control data on the association of diabetes with sex, age, weight, and BMI are summarized in Table 1. Within the FHC patient population, the increased prevalence of diabetes among men in the Guyanese (OR=2.8) was not observed in Hispanics, African-Americans, or Caucasians (OR=0.9, 1.2, and 1.4, respectively). In contrast, the age of patients and age difference between cases and controls were fairly consistent across race and ethnicity. The analysis of weight and BMI revealed unique features of the Guyanese patients (Table 1, Figure 2). Compared with the other three racial and ethnic groups, the Guyanese patients were leaner and the case-control difference in BMI seen in Hispanics, African-Americans, and Caucasians was smaller among the Guyanese men and reversed in direction for Guyanese women.

Table 1.

Characteristics of diabetic cases and non-diabetic controls, by racial and ethnic group, FHC, 2004–2006

Characteristic Guyanese
Hispanics
Diabetics Non-diabetics OR 95% CI p-value Diabetics Non-diabetics OR 95% CI p-value
Total n 67 132 47 94
Sex
 Males 39 (58%) 44 (33%) 2.8 1.5,5.1 <0.001 18 (38%) 38 (40%) 0.9 0.5,1.9 0.48
 Females 28 (42%) 88 (67%) 29 (62%) 56 (60%)
Mean age (+/−SD)
 Males 52.5+/−12.2 43.0+/−10.5 <0.001 51.9+/−18.1 45.9+/−13.3 0.16
 Females 57.4+/−14.4 43.8+/−12.1 <0.001 55.8+/−11.9 42.9+/−14.0 <0.001
Mean BMI (+/−SD)
 Males 28.6+/−5.0 26.4+/−5.2 0.04 31.0+/−5.6 27.9+/−5.2 0.04
 Females 27.5+/−4.8 29.0+/−5.6 0.24 34.6+/−7.6 30.8+/−6.6 0.03
Mean Weight(Kg +/−SD)
 Males 81.7+/−14.3 75.8+/−16.0 0.08 93.0+/−21.0 83.1+/−14.1 0.04
 Females 69.9+/−14.6 71.9+/−15.7 0.55 83.4+/−21.5 79.1+/−18.8 0.35
Characteristic African-Americans
Caucasians
Diabetics Non-diabetics OR 95% CI p-value Diabetics Non-diabetics OR 95% CI p-value
Total n 126 252 126 252
Sex
 Males 48 (38%) 85 (34%) 1.2 0.8,1.9 0.23 64 (51%) 105 (42%) 1.4 0.9,2.2 0.06
 Females 78 (62%) 167 (66%) 62 (49%) 147 (58%)
Mean age (+/−SD)
 Males 48.6+/−10.6 43.5+/−9.4 <0.001 57.8+/−12.1 47.0+/−12.8 <0.001
 Females 56.4+/−14.9 45.6+/−11.4 <0.001 62.1+/−11.7 47.6+/−15.0 <0.001
Mean BMI (+/− SD)
 Males 34.2+/−6.7 29.7+/−8.3 0.002 33.0+/−8.1 28.5+/−6.2 <0.001
 Females 35.3+/−9.1 32.6+/−9.1 0.04 34.4+/−8.2 30.9+/−−0.0 0.02
Mean Weight(Kg +/−SD)
 Males 109.8+/−27.0 95.2+/−27.0 0.003 101.7+/−25.7 88.8+/−21.0 <0.001
 Females 95.7+/−25.4 87.4+/−26.6 0.02 89.4+/−23.0 82.2+/−27.7 0.07

Figure 2.

Figure 2

Body Mass Index (BMI), by race/ethnicity and sex

Data by race and ethnicity and co-morbidities and sequelae often linked with diabetes are summarized in Table 2. Hypertension was strongly associated with prevalence of diabetes in each racial and ethnic group (Odds ratio ranging from 4.6 to 6.5). Hyperlipidemia also was associated with prevalence of diabetes, but more strongly in African-American and Caucasian patients (OR=7.4 and 9.4 respectively) than in Guyanese and Hispanic patients (OR=2.5). Smoking had little association with diabetes among FHC patients, and the prevalence of smoking was markedly low among both diabetic and non-diabetic Guyanese patients.

Table 2.

Co-morbidities, sequelae, and HbgA1c, by racial and ethnic group, FHC, 2004–2006

Characteristic Guyanese
Hispanics

Diabetics Non-diabetics OR 95% CI p-value Diabetics Non-diabetics OR 95% CI p-value
Total n 67 132 47 94
Hypertension 39 (64%) 26 (21%) 5.8 3.0,11.3 <0.001 26 (55%) 15 (16%) 6.5 2.9,14.5 <0.001
Hyperlipidemia 41 (68%) 26 (46%) 2.5 1.2,5.3 0.01 16 (34%) 16 (17%) 2.5 1.1,5.6 0.02
Current Smoking 3 (4.6%) 10 (9.3%) 0.5 0.1,1.8 0.25 12 (25.5%) 29 (31.2%) 0.8 0.5,1.8 0.49
Mean HgbA1c 8.3+/−1.8 7.9+/−1.9
End-organ disease 24 (35.8%) 13 (28.9%)
Characteristic African-Americans
Caucasians
Diabetics Non-diabetics OR 95% CI p-value Diabetics Non-diabetics OR 95% CI p-value
Total n 126 252 126 252
Hypertension 90 (71%) 89 (35%) 4.6 2.9,7.3 <0.001 80 (64%) 61 (24%) 5.4 2.9,7.3 <0.001
Hyperlipidemia 62 (50%) 30 (12%) 7.4 4.4,12.4 <0.001 86 (68%) 47 (19%) 9.3 5.7,15.3 <0.001
Current Smoking 57 (45.2%) 111 (44%) 1.0 0.7,1.6 0.83 43 (34.1%) 101 (40.1%) 0.8 0.5,1.2 0.26
Mean HgbA1c 7.6+/−2.1 7.8+/−2.0
End-organ disease 32 (26.2%) 33 (26.4%)

Although not statistically different than the patients from the other ethnic and racial groups, Guyanese patients with diabetes who were seen in the FHC generally had poorly controlled diabetes, with a mean (most recent) HgbA1c of 8.3% (SD 1.9). During the study period, twenty four patients (36%) already had exhibited end-organ damage, having been diagnosed with coronary artery, cerebrovascular, peripheral vascular, renal, and/or ophthalmic disease. Twelve patients (17%) (data not shown) had experienced a myocardial infarction and/or coronary artery bypass surgery, 4 patients (6%) had undergone amputations, 7 patients (10%) had nephropathy, 4 (6%) had suffered a stroke, and 3 (%) were blind in at least one eye. Although the incidence of end-organ disease increased with age, 7 Guyanese patients (23%) under the age of 50 already manifested at least 1 complication.

DISCUSSION AND CONCLUSION

This study of Guyanese patients supports our initial impression that diabetes is significantly more prevalent among these newly arrived immigrants to Schenectady than among other racial and ethnic groups at our practice. Furthermore, the Guyanese with diabetes differ from these other groups, being leaner and more likely to be male. Although the incidence of diabetes among Guyanese increases with age, we did not confirm our initial impression that it was more common among younger Guyanese patients than young patients from other racial or ethnic groups. We found BMIs to be lower among Guyanese patients compared with other ethnic groups, a weaker association between BMI and diabetes in men, and no association in women. This finding is markedly different from the strong association between BMI and weight found in the African-American, Caucasian, and Hispanic patients. Diabetes among the Guyanese studied was not well controlled, 2/3 of patients had hypertension and/or hyperlipidemia, and 1/3 of patients had already experienced at least one end-organ complication.

We believe this study to be the first in the medical literature systematically investigating diabetes among immigrants from Guyana. A literature search yielded only three reports regarding diabetes among Guyanese, either in Guyana or North America. The first was a 2006 report from the New York City Department of Health that listed diabetes as the third leading cause of death among Guyanese-born immigrants. By comparison, diabetes was the sixth leading cause of death among North American-born New Yorkers and fifth among all foreign-born New Yorkers.10 The second was the afore-mentioned report published by the Guyanese Ministry of Health in 2008 that ranked diabetes as the second most prevalent cause of chronic non-communicable disease among individuals over the age of 45 years. 3 The third was a recently published study from New York City which reported a higher incidence of three vessel coronary artery disease, diabetes, hypertension, and dyslipidemia among Guyanese, compared with Caucasian patients referred for cardiac catheterization.11

There is a growing literature regarding the high and increasing prevalence of diabetes in migrant South Asians and Indians, the latter of significance since they constitute the genetic ancestry of the Indo-Guyanese. For example, the prevalence of diabetes among South Asians living in the United Kingdom is estimated to be approximately 20%, which is nearly fivefold higher than the indigenous white population. 12 In South India, the Chennai Urban Rural Epidemiology Study (CURES) screened over 26,000 urban Indian adults and found an overall diabetes prevalence of 15.5%. In the span of 14 years, the prevalence of diabetes increased by 72.3%.13 Similar to the Indo-Guyanese in our study, other published reports reveal that Asian Indians with diabetes are leaner than other populations.1316

Diabetes is clearly influenced by genetic predisposition, with the thrifty genotype and phenotype and the thin-fat phenotype thought to partially explain the increased risk among Indians. 16 The thrifty genotype theory ascribes the increased susceptibility to diabetes to the evolutionary enrichment of thrifty genes, which enhanced the chances of survival in the past when food supplies were scarce and intermittent, but have become detrimental in contemporary conditions of plentiful food and sedentary lifestyles. The thrifty phenotype hypothesis ascribes the increased risk of diabetes to an unfavorable intrauterine environment. The thin-fat phenotype describes the observation that Indians have a higher percentage of body fat and more visceral fat than members of other populations, increasing their risk for insulin resistance when exposed to increased food and decreased exercise. 16 Irrespective of the underlying etiology and pathogenesis, it is clear that diabetes is increasing in both urban and rural areas in association with improvement in living conditions, and changes in exercise and diet.13, 1517 We believe that these multiple combined factors help explain the high prevalence of diabetes among the Guyanese immigrants in North America as well.

Our study is limited by its small sample size and the possibility of selection bias. Since all cases were from one family medicine practice, they may not be representative of the community at large and we may have investigated a population consisting of sicker patients with diabetes seeking care. This potential bias could help explain the higher prevalence of diabetes that we found among Guyanese men, who have been noted to be less likely than women to seek medical care unless ill. Nonetheless, approximately 2/3 of the Guyanese patients with diabetes in the study had no known end-organ disease and many were being seen for routine primary care visits. Furthermore, it is reasonable to expect that selection bias would have had a similar influence on the prevalence of diabetes that we found among African-American and Caucasian patients, who had rates of diabetes which were proportionally similar to those reported from the National Health and Nutrition Examination Survey (NHANES) 18

Schenectady clinicians have responded to these findings with a heightened index of suspicion regarding diabetes among Guyanese patients, leading to increased screening of all Guyanese adults, irrespective of traditional risk factors, such as obesity. 19 Appreciating the necessity and importance of public health initiatives in addition to the clinical interventions already underway, the Schenectady County Public Health Department, with the assistance of a coalition of health care providers and citizen groups, successfully applied for and was awarded a REACH (Racial and Ethnic Approaches to Community Health) grant from the Centers for Disease Control and Prevention (CDC).19,20 Currently, mid-way though the two year grant cycle, the health department, in partnership with the Guyanese and West Indian communities, has formed the West Indian Diabetes Action Coalition (WIDAC) to develop primary, secondary and tertiary public health strategies to prevent, identify, and treat Type 2 diabetes and its consequences. The coalition is developing culturally sensitive solutions to the identified diabetes problem that exists in Schenectady, with the goal of sharing lessons with the entire community as well as the CDC. Drawing upon the availability and popularity of current technology, the coalition has developed a Facebook page in order to disseminate high-quality health related information to a wide audience. 21 Other tools and interventions are underway as well.

We are currently in the midst of a worldwide “diabetes epidemic”, with enormous implications for health care needs and costs over the next century.22 As highlighted by this study, despite many similarities, diabetes epidemiology and presentation differs among racial and ethnic groups, requiring public health and clinical providers to approach diabetes prevention and control within a “culturally competent” framework.2325 In addition to the public health implications, we believe that studying the lean individuals with diabetes who we identified among our Guyanese patients may ultimately provide key insights into the molecular basis of insulin resistance, paving the way for better control and treatment.

Acknowledgments

D.S.S. and Z.S. were supported by the National Institute on Minority Health and Health Disparities, National Institutes of Health (grant number 1 P20 MD003373).

Footnotes

The authors report no potential conflicts of interest to report.

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