Abstract
Sickle cell anemia (SCA) negatively impacts the ability to achieve educational and occupational goals increasing vulnerability to socioeconomic challenges. In a cross‐sectional analysis of 332 SCA adults, we investigated whether the distressed community index (DCI) was associated with SCA‐related complications and nutritional status. More patients with higher DCI had Medicaid insurance. A higher DCI was independently associated with tobacco use and lower body mass index, serum albumin, and vitamin D 25‐OH levels after adjusting for insurance status but was not associated with SCA‐related complications. Future studies investigating access to healthy foods may help improve health equity in patients with SCA.
Keywords: distressed community index, nutrition, sickle cell anemia, socioeconomic
1. INTRODUCTION
Sickle cell anemia (SCA) is among the most common inherited red blood cell disorders affecting approximately one in 500 African Americans and 25 million people worldwide [1]. Hallmark features of SCA include vaso‐occlusion and intravascular hemolysis, which lead to a myriad of acute and chronic complications, including vaso‐occlusive pain episodes (VOE), acute chest syndrome, and stroke. These complications negatively impact the ability of people with SCA to achieve educational and occupational goals [2, 3]. In addition, African Americans are disproportionately affected by socioeconomic inequity making people with SCA a particularly vulnerable population to social determinants of health.
The Distressed Communities Index (DCI) is a tool that was developed to compare the economic well‐being of US communities by zip code. The components of the DCI score include measures of educational level, housing vacancy, unemployment, poverty rate, and median income. A study which assessed the impact of community‐level socioeconomic well‐being using the DCI found that Medicare beneficiaries living in distressed communities were at greater risk for lower health care quality, including annual wellness checks and receiving recommended annual tests, and experienced a higher rate of potentially avoidable hospital admissions, 30‐day hospital readmissions, and higher overall mortality [4]. Community‐level socioeconomic distress can also reduce access to healthy foods and increase metabolic risk factors for morbidity and early mortality [5].
The impact of community level socioeconomic distress in patients with SCA is less clear. In one cohort from the United Kingdom, people with SCA living in disadvantaged neighborhoods had higher rates of emergency room readmissions and inpatient mortality compared to those living in less disadvantaged neighborhoods [6]. In another study, children with SCA living in socioeconomically deprived neighborhoods had less episodes of recurrent acute chest syndrome compared to those living in more affluent neighborhoods [7].
The purpose of this cross‐sectional study was to determine (1) the prevalence of community level socioeconomic distress, as determined by the DCI, and (2) its association with SCA‐related complications and markers of nutritional status in adults with SCA.
2. METHODS
The study was approved by the University of Illinois Chicago Institution Review Board and subjects provided written informed consent in accordance with the Declaration of Helsinki. Between August 2010 and June 2018, 332 adults with SCA (genotype hemoglobin SS or Sβ0) were recruited into a registry during a routine clinic visit. Laboratory and clinical parameters, including insurance status, were collected either during that outpatient clinic visit or from an outpatient clinic visit closest to the time of recruitment. VOE frequency was determined by the number of VOE requiring medical attention in the emergency room, acute care center, or hospitalization in the 12 months preceding enrolment.
The DCI is a composite of seven socioeconomic indicators (no high school diploma, housing vacancy rate, adults not working, poverty rate, median income ratio, and changes in employment and establishments) that estimate the economic well‐being of a community [4, 8]. The DCI is maintained by Economic Innovation Group (website eig.org/dci) and is built from the US Census Bureau's American Community Survey and the Census Bureau's Business Patterns datasets from 2016–2020. DCI score ranges from 0 to 100 with a higher score indicating a more distressed community. The DCI score was determined for each subject using their home address zip code listed in the electronic medical record system.
We compared SCA‐related complications by insurance status using the test for linear trend and Cochran's test for linear trend. Comparisons of linear and categorical variables by DCI tertile (low: DCI < 73; middle: DCI 73 – 95; high: DCI > 95) were conducted using the test for linear trend and Cochran's test for linear trend, respectively. The associations of DCI with SCA‐related complications, tobacco use, and markers of nutritional status (body mass index, serum albumin, vitamin D 25‐OH) were assessed by linear or logistic regression analysis, adjusting for age, sex, hydroxyurea use, and insurance type. The beta coefficients and odds ratios (OR) and 95% confidence intervals (CIs) that are provided are based on increments of 10 for DCI. Median and interquartile ranges (IQR) are provided.
3. RESULTS
The median age of the cohort was 31 years (IQR, 24–41 years), 55% were female, 98.5% were African American, and 53% were on hydroxyurea therapy. The median DCI in this cohort was 87 (IQR, 61–96) with 61% of SCA patients living in a distressed tier (DCI ≥ 80) and only 5% living in a prosperous tier (DCI < 20). Fifty percent of the cohort had Medicaid insurance (n = 165) or were categorized as self‐pay (n = 1), 26% had Medicare insurance, and 24% had private insurance listed as their primary insurance. VOE frequency and acute chest syndrome history were progressively higher while a trend for higher stroke history was observed in SCA patients with Medicare and with Medicaid/self‐pay compared to those with private insurance (Figure 1A–C). The proportion of SCA patients with Medicaid insurance progressively increased with higher DCI tertile (Table 1). SCA patients in progressively higher DCI tertiles were more frequently African American, being treated with hydroxyurea, used tobacco, and had higher serum ferritin concentrations and lower serum vitamin D 25‐OH levels (p < 0.05).
TABLE 1.
Low score (DCI < 73; n = 110) | Middle score (DCI 73 – 95; n = 113) | High score (DCI > 95; n = 109) | p‐Value | |
---|---|---|---|---|
Age (years) | 31 (26–43) | 30 (24–39) | 31 (24–42) | 0.4 |
Females | 43% : 57% | 45% : 55% | 49% : 51% | 0.4 |
African American (%) | 106 (96%) | 112 (99%) | 109 (100%) | 0.027 |
Insurance Type | 0.006 | |||
Private | 39 (35.5%) | 22 (19.5%) | 20 (18.3%) | |
Medicare | 29 (26.4%) | 32 (28.3%) | 24 (22%) | |
Medicaid | 42 (38.1%) | 59 (52.2%) | 65 (59.6%) | |
Hydroxyurea (%) | 52 (47%) | 54 (48%) | 69 (63%) | 0.018 |
Tobacco use (%) | 19 (17%) | 21 (19%) | 35 (32%) | 0.009 |
Systolic blood pressure (mm Hg) | 118 (112–128) | 120 (111–128) | 118 (110–128) | 0.5 |
Body mass index (kg/m2) | 23 (21–26) | 23 (21–27) | 23 (21–26) | 0.3 |
WBC count (x 10[3]/μL) | 9.9 (7.8–12.3) | 10 (7.9–12.4) | 10.8 (8.1–12.2) | 0.2 |
Hemoglobin (g/dL) | 8.9 (8.1–9.8) | 8.8 (7.9–9.6) | 8.8 (7.7–9.6) | 0.4 |
Platelet count (x 10[3]/μL) | 393 (295–503) | 408 (310–508) | 417 (313– 497) | 0.4 |
Absolute reticulocyte count (x 10[3]/μL) | 304 (224–426) | 310 (224–447) | 325 (214–400) | 0.6 |
Hemoglobin F (%) | 5.6 (2.8–9.7) | 6.2 (2.8–9.9) | 5.7 (2.7–9.9) | 0.8 |
LDH (u/L) | 355 (255 – 454) | 342 (266–432) | 366 (282–482) | 0.4 |
Ferritin | 419 (121–1068) | 497 (214–1396) | 656 (204–1730) | 0.01 |
ALT (u/L) | 23 (18–34) | 23 (16–33) | 24 (17–31) | 0.7 |
Serum albumin (g/dL) | 4.1 (3.8–4.3) | 4.1 (3.8–4.3) | 4.0 (3.8– 4.3) | 0.1 |
Vitamin D 25‐OH (ng/mL) | 15 (10–23) | 13 (8–18) | 12 (8–17) | 0.004 |
eGFR (mL/min/1.73m2) | 121 (102–129) | 124 (106–132) | 122 (97–132) | 0.8 |
Urine albumin (mg/g creatinine) | 41 (11–210) | 34 (10–185) | 41 (15–142) | 0.7 |
VOE frequency (per year) | 2 (1–6) | 2 (0–5) | 2 (1–4) | 0.8 |
Acute chest syndrome history | 69 (63%) | 68 (60%) | 62 (57%) | 0.5 |
Stroke history | 23 (21%) | 31 (27%) | 23 (21%) | 0.9 |
Abbreviations: ALT, alanine transaminase; eGFR, estimated glomerular filtration rate; LDH, lactate dehydrogenase; VOE, vaso‐occlusive pain episodes; WBC, white blood cell count.
We did not observe an association between DCI scores and SCA‐related complications, such as VOE frequency, history of acute chest syndrome, or stroke history, on univariate analysis or after adjusting for age, sex, hydroxyurea use, and insurance status (P ≥ 0.07) (Supplementary Table 1 ). Higher DCI was independently associated with more frequent tobacco use (OR 1.1; p = 0.038) as well as with lower body mass index (β = −0.01; p = 0.043), serum albumin concentration (β = −0.02; p = 0.042), and vitamin D 25‐OH level (β = −0.7; p = 0.002) after adjusting for age, sex, hydroxyurea use, and insurance status (Figure 1D–F).
4. DISCUSSION
We demonstrate that socioeconomic distress at the community level was associated with tobacco use and with several markers of nutritional status in patients with SCA. Distressed communities are neighborhoods with reduced socio‐economic well‐being which can lead to reduced access to health‐related community resources, such as health care facilities, healthy foods, and recreational activities, as well as an increased risk of exposure to environmental toxins and unhealthy behaviors [9, 10]. In our cohort, 61% of patients with SCA lived in a distressed tier (DCI ≥ 80). This is similar to what has been reported in a cohort of patients with sickle cell disease from England, where 58% lived in the most socio‐economically deprived areas [6]. In another pediatric cohort from Alabama, 45% of children with sickle cell disease lived in the most deprived area [7]. In our study, SCA‐related complications were associated with insurance status but not with DCI. The association of SCA‐related complications with insurance status has been observed in other cohorts of patients with sickle cell disease [11, 12] and our findings suggest that individual‐level indicators of socio‐economic well‐being may be a stronger predictor of these complications than community‐level indicators [13]. A higher DCI score was independently associated with a greater proportion of SCA patients smoking tobacco, which may represent a modifiable risk factor for cardiovascular disease in the general population and for acute chest syndrome in adults with sickle cell disease [14].
We found that a higher DCI score was independently associated with several markers of poor nutrition, including lower body mass index, serum albumin, and vitamin D 25‐OH concentration. Potential reasons for this might include food insecurity and low access to healthy foods. Food insecurity is increased in people with reduced income, low employment, or disability [15]. Risk factors for food insecurity in people with SCA, reported in 30%–46% of other sickle cell disease cohorts [16, 17], are less clear. Although we did not measure food insecurity, our results suggest that community‐level barriers, such as access to healthy foods, may play an important role in the nutritional status of adults with SCA.
Limitations of our study include being cross‐sectional in nature, the narrow distribution of DCI, and lacking additional measures of individual socioeconomic status, such as household income and educational level. Future studies prospectively investigating the effects of socioeconomic distress at an individual and community level will help us better understand the impact of social determinants of health in people with SCA and guide public health strategies to improve health equity for this population.
AUTHOR CONTRIBUTIONS
SAA, JH, RS, REM, VRG, and JPL designed and performed research and wrote the paper. SLS designed and performed research, analyzed the data, and wrote the paper.
CONFLICT OF INTEREST STATEMENT
The authors disclose no relevant conflict of interest to this study.
Supporting information
ACKNOWLEDGMENTS
The project described was supported by the National Institutes of Health through grant R01 HL‐153161 (S.L.S), K24 DK‐092290 (J.P.L), and U2C DK‐129917 (J.P.L.). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH.
Ally SA, Han J, Sun R, Molokie RE, Gordeuk VR, Lash JP, et al. Community‐level socioeconomic distress is associated with nutritional status in adults with sickle cell anemia. eJHaem. 2023;4:432–436. 10.1002/jha2.661
DATA AVAILABILITY STATEMENT
The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.
REFERENCES
- 1. Modell B, Darlison M. Global epidemiology of haemoglobin disorders and derived service indicators. Bull World Health Organ. 2008;86(6):480‐487. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Jesus A, Konstantyner T, Lobo IKV, Braga JAP. Socioeconomic and nutritional characteristics of children and adolescents with sickle cell anemia: a systematic review. Rev Paul Pediatr. 2018;36(4):491‐499. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Chakrabarti S, Bareford D. A survey on patient perception of reduced‐intensity transplantation in adults with sickle cell disease. Bone Marrow Transplant. 2007;39(8):447‐451. [DOI] [PubMed] [Google Scholar]
- 4. Weeks WB, Ouayogode MHL, Weinstein JN. Association between a measure of community economic distress and medicare patients' health care utilization, quality, outcomes, and costs. J Gen Intern Med. 2018;33(9):1433‐1435. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Ellaway A, Anderson A, Macintyre S. Does area of residence affect body size and shape? Int J Obes Relat Metab Disord. 1997;21(4):304‐308. [DOI] [PubMed] [Google Scholar]
- 6. Aljuburi G, Laverty AA, Green SA, Phekoo KJ, Bell D, Majeed A. Socio‐economic deprivation and risk of emergency readmission and inpatient mortality in people with sickle cell disease in England: observational study. J Public Health (Oxf). 2013;35(4):510‐517. [DOI] [PubMed] [Google Scholar]
- 7. Alishlash AS, Rutland SB, Friedman AJ, Hampton JI, Nourani A, Lebensburger J, et al. Acute chest syndrome in pediatric sickle cell disease: associations with racial composition and neighborhood deprivation. Pediatr Blood Cancer. 2021;68(4):e28877. [DOI] [PubMed] [Google Scholar]
- 8. EIG. Distressed Communities ‐ Economic Innovation Group . EIG; 2021.
- 9. Mohnen SM, Schneider S, Droomers M. Neighborhood characteristics as determinants of healthcare utilization ‐ a theoretical model. Health Econ Rev. 2019;9(1):7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Dubowitz T, Heron M, Bird CE, Lurie N, Finch BK, Basurto‐Dávila R, et al. Neighborhood socioeconomic status and fruit and vegetable intake among whites, blacks, and Mexican Americans in the United States. Am J Clin Nutr. 2008;87(6):1883‐1891. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. McCavit TL, Lin H, Zhang S, Ahn C, Quinn CT, Flores G. Hospital volume, hospital teaching status, patient socioeconomic status, and outcomes in patients hospitalized with sickle cell disease. Am J Hematol. 2011;86(4):377‐380. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Wolfson JA, Schrager SM, Khanna R, Coates TD, Kipke MD. Sickle cell disease in California: sociodemographic predictors of emergency department utilization. Pediatr Blood Cancer. 2012;58(1):66‐73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Tewari S, Brousse V, Piel FB, Menzel S, Rees DC. Environmental determinants of severity in sickle cell disease. Haematologica. 2015;100(9):1108‐1116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14. Cohen RT, DeBaun MR, Blinder MA, Strunk RC, Field JJ. Smoking is associated with an increased risk of acute chest syndrome and pain among adults with sickle cell disease. Blood. 2010;115(18):3852‐3854. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15. Madden JM, Shetty PS, Zhang F, Briesacher BA, Ross‐Degnan D, Soumerai SB, et al. Risk factors associated with food insecurity in the medicare population. JAMA Intern. Med.. 2020;180(1):144‐147. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16. Ghafuri DL, Rodeghier M, DeBaun MR. Rate of food insecurity among households with children with sickle cell disease is above the national average. South Med J. 2020;113(4):150‐155. [DOI] [PubMed] [Google Scholar]
- 17. Fernandez CR, Licursi M, Wolf R, Lee MT, Green NS. Food insecurity, housing instability, and dietary quality among children with sickle cell disease: assessment from a single urban center. Pediatr Blood Cancer. 2022;69(5):e29463. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data that support the findings of this study are available on request from the corresponding author. The data are not publicly available due to privacy or ethical restrictions.