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Health literacy and diabetic retinopathy

Abstract

Health literacy (HL) is defined as a cognitive and social skill that determines the motivation and ability of individuals to understand and use information to promote and maintain proper health. Inadequate HL has been associated with worse outcomes in diabetes control, poor self-care, and higher hospitalization rates for some chronic diseases. We hypothesized that HL influences the prevalence of diabetic retinopathy (DR) among individuals with type 2 diabetes mellitus (T2DM) and that inadequate glycemic control would mediate this association. This was a cross-sectional study carried out with 288 participants of the “Brazilian Diabetes Study” cohort. Inclusion criteria were people diagnosed with T2DM aged between 40 and 70 years and ability to read and write. In the adequate HL group, DR was found in 16.5% of participants and in the inadequate HL group, it was found in 32.8% (P=0.0081). Individuals with inadequate HL had a higher risk of having DR, and this association was still statistically significant after adjusting for HbA1c, low-density lipoprotein cholesterol, systolic blood pressure, and diastolic blood pressure. In conclusion, HL is related to DR without the mediation of classical clinical variables.

Health literacy; Diabetic retinopathy; Diabetes Mellitus


Introduction

The World Health Organization defines health literacy (HL) as the cognitive and social skill of individuals to access, understand, and use information in a way that promotes and maintains adequate health (11. Nutbeam D, Muscat DM. Health Promotion Glossary 2021. Health Promot Int 2021; 36: 1578-1598, doi: 10.1093/heapro/daaa157.
https://doi.org/10.1093/heapro/daaa157...
).

In people with type 2 diabetes mellitus (T2DM), HL is related to the understanding of self-care and disease management, which is intrinsically linked to clinical outcomes (22. Schillinger D, Grumbach K, Piette J, Wang F, Osmond D, Daher C, et al. Association of Health Literacy With Diabetes Outcomes. JAMA 2002; 288: 475-82, doi: 10.1001/jama.288.4.475.
https://doi.org/10.1001/jama.288.4.475...
).

Low HL has been associated with worse outcomes in diabetes control, poor self-care, higher hospitalization rates (22. Schillinger D, Grumbach K, Piette J, Wang F, Osmond D, Daher C, et al. Association of Health Literacy With Diabetes Outcomes. JAMA 2002; 288: 475-82, doi: 10.1001/jama.288.4.475.
https://doi.org/10.1001/jama.288.4.475...
,33. Berkman ND, Sheridan SL, Donahue KE, Halpern DJ, Viera A, Crotty K, et al. Health literacy interventions and outcomes: an updated systematic review. Evid Rep Technol Assess (Full Rep) 2011; 1-941.), lower use of preventive services (33. Berkman ND, Sheridan SL, Donahue KE, Halpern DJ, Viera A, Crotty K, et al. Health literacy interventions and outcomes: an updated systematic review. Evid Rep Technol Assess (Full Rep) 2011; 1-941.), delay in diagnosis (44. Wolf MS, Knight SJ, Lyons EA, Durazo-Arvizu R, Pickard SA, Arseven A, et al. Literacy, race, and PSA level among low-income men newly diagnosed with prostate cancer. Urology 2006; 68: 89-93, doi: 10.1016/j.urology.2006.01.064.
https://doi.org/10.1016/j.urology.2006.0...
), less knowledge about health (22. Schillinger D, Grumbach K, Piette J, Wang F, Osmond D, Daher C, et al. Association of Health Literacy With Diabetes Outcomes. JAMA 2002; 288: 475-82, doi: 10.1001/jama.288.4.475.
https://doi.org/10.1001/jama.288.4.475...
,33. Berkman ND, Sheridan SL, Donahue KE, Halpern DJ, Viera A, Crotty K, et al. Health literacy interventions and outcomes: an updated systematic review. Evid Rep Technol Assess (Full Rep) 2011; 1-941.), and increased risk of mortality (33. Berkman ND, Sheridan SL, Donahue KE, Halpern DJ, Viera A, Crotty K, et al. Health literacy interventions and outcomes: an updated systematic review. Evid Rep Technol Assess (Full Rep) 2011; 1-941.). On the other hand, patients with adequate HL reported better adherence to diet, blood glucose monitoring, and foot care (55. Kim S, Love F, Quistberg DA, Shea JA. Association of health literacy with self-management behavior in patients with diabetes. Diabetes Care 2004; 27: 2980-2982, doi: 10.2337/diacare.27.12.2980.
https://doi.org/10.2337/diacare.27.12.29...
).

The International Diabetes Federation (IDF) estimates that 537 million adults aged between 20 and 79 live with diabetes. This represents 10.5% of the world's population in this age group. This number is expected to increase to 643 million (11.3%) by 2030 and to 783 million (12.2%) by 2045 (66. International Diabetes Federation. IDF Diabetes Atlas 10th Edition; 2021.). Diabetic retinopathy (DR) is one of the most common and serious microvascular complications in diabetes (77. Teo ZL, Tham YC, Yu M, Chee ML, Rim TH, Cheung N, et al. Global prevalence of diabetic retinopathy and projection of burden through 2045: systematic review and meta-analysis. Ophthalmology 2021; 128: 1580-1591, doi: 10.1016/j.ophtha.2021.04.027.
https://doi.org/10.1016/j.ophtha.2021.04...
,88. Antonetti DA, Klein R, Gardner TW. Diabetic retinopathy. N Engl J Med 2012; 366: 1227-1239, doi: 10.1056/NEJMra1005073.
https://doi.org/10.1056/NEJMra1005073...
).

DR affects 1 in 5 people with T2DM and is the leading and still growing cause of blindness worldwide, particularly in low-to-middle-income countries (77. Teo ZL, Tham YC, Yu M, Chee ML, Rim TH, Cheung N, et al. Global prevalence of diabetic retinopathy and projection of burden through 2045: systematic review and meta-analysis. Ophthalmology 2021; 128: 1580-1591, doi: 10.1016/j.ophtha.2021.04.027.
https://doi.org/10.1016/j.ophtha.2021.04...
). DR is one of the tissue injuries resulting from T2DM most intensely related to glycemic control (99. Lachin JM, Genuth S, Nathan DM, Zinman B, Rutledge BN. Effect of glycemic exposure on the risk of microvascular complications in the diabetes control and complications trial--revisited. Diabetes 2008; 57: 995-1001, doi: 10.2337/db07-1618.
https://doi.org/10.2337/db07-1618...
). Based on these premises, we hypothesized that HL influences the prevalence of DR in individuals with T2DM and that inadequate glycemic control could link this association. The present study was designed to investigate these hypotheses.

Material and Methods

This was a cross-sectional study carried out with 288 participants of the “Brazilian Diabetes Study” (BDS) cohort, which is a prospective, ongoing, single center, cohort of T2DM (clinicaltrials.gov: NCT04949152). Clinical and laboratory analyses were performed by the Atherosclerosis and Vascular Biology Laboratory (Aterolab) at the Clinical Research Center of the State University of Campinas (Unicamp), Brazil. The study was approved by the Research Ethics Committee of Unicamp (CAAE: 89525518.8.1001.5404) and complied with the principles of the Declaration of Helsinki (1010. Shrestha B, Dunn L. The declaration of Helsinki on medical research involving human subjects: a review of seventh revision. J Nepal Health Res Counc 2020; 17: 548-552, doi: 10.33314/jnhrc.v17i4.1042.
https://doi.org/10.33314/jnhrc.v17i4.104...
). To calculate the sample size of the study, we considered all participants in the BDS cohort who had undergone the ophthalmological evaluation, and the number obtained was 308 participants. A sampling error of 3% and a significance level of 5% were assumed. Thus, the minimum sample size required was 239 patients.

Eligible patients (blood sample collection, ambulatory blood pressure monitoring, ophthalmologic evaluation) were invited to the research center for an explanation of the study protocol. Inclusion criteria were people diagnosed with T2DM, aged between 40 and 70 years, ability to read and write. After signing the written informed consent, demographic data were collected from all participants and blood pressure was measured. Blood samples were also collected after 12-h fasting.

Blood pressure was measured using the HEM-7113 Omron Healthcare device (Brazil), as stated in the latest guideline (1111. Barroso WKS, Rodrigues CIS, Bortolotto LA, Mota-Gomes MA, Brandão AA, Feitosa ADM, et al. Brazilian guidelines of hypertension - 2020. Arq Bras Cardiol 2021; 116: 516-658, doi: 10.36660/abc.20201238.
https://doi.org/10.36660/abc.20201238...
). After 12-h fasting, peripheral blood was collected following the appropriate instructions (1212. Safe Injection Global Network, World Health Organization. WHO guidelines on drawing blood: best practices in phlebotomy. Geneva; 2010. p 1-125.). DR staging was performed by a retinal ophthalmology specialist. After clinical evaluation, patients were submitted to complementary examinations of retinography in a VISUCAM device (NM/FA Carl Zeiss, Germany) and optical coherence tomography (OCT) using SPECTRALIS SD-OCT (Heidelberg Engineering GmbH, Germany). DR was classified as not apparent or present (minimal non-proliferative diabetic retinopathy, mild to moderate, severe, very severe, and early or high-risk proliferative diabetic retinopathy) (88. Antonetti DA, Klein R, Gardner TW. Diabetic retinopathy. N Engl J Med 2012; 366: 1227-1239, doi: 10.1056/NEJMra1005073.
https://doi.org/10.1056/NEJMra1005073...
).

To assess HL, the SAHLPA-18 (Short Assessment of Health Literacy for Portuguese-speaking Adults) instrument was used, with one point for each correct item with a maximum score of 18. We categorized patients as having inadequate functional HL if the SAHLPA-18 score was 0-14 and adequate functional HL if it was 15-18. (1313. Apolinario D, Braga RCOP, Magaldi RM, Busse AL, Campora F, Brucki S, et al. Short assessment of health literacy for Portuguese-speaking adults. Rev Saude Publica 2012; 46: 702-711, doi: 10.1590/S0034-89102012005000047.
https://doi.org/10.1590/S0034-8910201200...
). The interview was conducted by the researchers after adequate training on the specific test in a room exclusively reserved for this purpose.

The clinical research data management was based on the Research Electronic Data Capture (REDCap, USA) platform. Continuous variables are reported as median and interquartile range (IQR). We used the Mann-Whitney test to compare continuous variables and the chi-squared test for categorical variables. Modified Poisson regression models with robust variance were used for the analysis of the association between HL and DR. Covariates in this modeling were high glycated hemoglobin [(HbA1c) >7% (53 mmol/mol)], high low-density lipoprotein cholesterol [(LDL-C); >50 mg/dL in secondary prevention or >70 mg/dL in primary prevention], high systolic blood pressure [(SBP) >130 mmHg], and high diastolic blood pressure [(DBP) >90 mmHg] (1414. Kernan WN, Ovbiagele B, Black HR, Bravata DM, Chimowitz MI, Ezekowitz MD, et al. Guidelines for the prevention of stroke in patients with stroke and transient ischemic attack: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 2014; 45: 2160-2236, doi: 10.1161/STR.0000000000000024.
https://doi.org/10.1161/STR.000000000000...
). Simple mediation analyses were performed to investigate if the association between HL and DR was mediated by glycemic control. In this model, the predictive variable was HL, the mediator was HbA1c, and the outcome variable was DR; the Sobel test was used. HbA1c, LDL-C, SBP, and DBP were entered as mediating variables (1515. Wat N, Wong RLM, Wong IYh. Associations between diabetic retinopathy and systemic risk factors. Hong Kong Med J 2016; 22: 589-599.). A P-value <0.05 was considered statistically significant. SAS software version 9.4 (USA) was used to perform statistical analysis.

Results

Table 1 presents the demographics of the study participants classified as adequate or inadequate HL groups. While in the adequate HL group, DR was found in 16.5% of participants, in the inadequate HL group, it was found in 32.8% (P=0.0081). No statistical difference was found between adequate HL and inadequate HL groups and severe DR: 1.76 and 1.72% (P=0.0543), respectively.

Table 1
Comparison of clinical characteristics of participants in literacy groups.

As shown in Table 2, individuals with inadequate HL had a higher risk of having DR; the association remained significant after being adjusted for HbA1c, LDL-C, SBP, and DBP. As expected, high HbA1c was also related to an increased risk of DR. According to the mediation analysis, the association between DR and HL was not modulated by HbA1c [2.22%; Sobel test Z=0.142 (0.068), P=0.886]. LDL-C, SBP, and DBP were also not identified as mediating variables for this association.

Table 2
Multivariate analysis of the relationship between health literacy and diabetic retinopathy adjusted for clinically relevant covariates.

Discussion

Consistent with previous reports, we found inadequate HL in 29% of patients with T2DM (1616. Abdullah A, Liew SM, Salim H, Ng CJ, Chinna K. Prevalence of limited health literacy among patients with type 2 diabetes mellitus: a systematic review. PLoS One 2019; 14: e0216402, doi: 10.1371/journal.pone.0216402.
https://doi.org/10.1371/journal.pone.021...
), and these individuals had a higher prevalence of DR (1717. Saeed H, Saleem Z, Naeem R, Shahzadi I, Islam M. Impact of health literacy on diabetes outcomes: a cross-sectional study from Lahore, Pakistan. Public Health 2018; 156: 8-14, doi: 10.1016/j.puhe.2017.12.005.
https://doi.org/10.1016/j.puhe.2017.12.0...
). Our study took this investigation one step further by performing mediation analyses based on well-established risk factors for the development of DR, i.e., high levels of HbA1c, LDL-C, and BP (99. Lachin JM, Genuth S, Nathan DM, Zinman B, Rutledge BN. Effect of glycemic exposure on the risk of microvascular complications in the diabetes control and complications trial--revisited. Diabetes 2008; 57: 995-1001, doi: 10.2337/db07-1618.
https://doi.org/10.2337/db07-1618...
). Surprisingly, we found that HbA1c had a minimal (2.22%), statistically insignificant, mediating effect in the association between HL and DR, and the same was true for traditional risk factors such as LDL-C and BP. This result opened space for discussion about the extent of relevance of HL in individuals with T2DM, extrapolating the role usually attributed to control of traditional risk factors.

On the other hand, a systematic review that investigated clinical predictors of DR progression concluded that hyperglycemia, dyslipidemia, and microalbuminuria contribute to the evolution of this complication. Progression tends to be faster when diabetes presents a long duration and the patient has low hemoglobin levels (1818. Al Ghamdi AH. Clinical predictors of diabetic retinopathy progression; a systematic review. Curr Diabetes Rev 2020; 16: 242-247.). Known variables such as glycemic variability and others not yet known but potentially influenced by physician-patient communication need to be clarified in future studies.

At present, our findings highlighted the importance of identifying HL in T2DM patients as a marker for the manifestation of microvascular lesions such as DR and encourage a tailored approach for these individuals (22. Schillinger D, Grumbach K, Piette J, Wang F, Osmond D, Daher C, et al. Association of Health Literacy With Diabetes Outcomes. JAMA 2002; 288: 475-82, doi: 10.1001/jama.288.4.475.
https://doi.org/10.1001/jama.288.4.475...
,1919. Lee YY, Lin JL. The effects of trust in physician on self-efficacy, adherence and diabetes outcomes. Soc Sci Med 2009; 68: 1060-1068, doi: 10.1016/j.socscimed.2008.12.033.
https://doi.org/10.1016/j.socscimed.2008...
). However, epidemiological projections suggest a growing increase of DR in resource-poor environments. For this reason, advances in DR management should be accessible to these populations to further reduce vision loss and blindness in DR over the next decade (2020. Tan TE, Wong TY. Diabetic retinopathy: looking forward to 2030. Front Endocrinol (Lausanne) 2023; 13: 1077669.).

Our findings, however, should be interpreted with caution. Participants were not selected randomly, but were volunteers among participants who had ophthalmological evaluations, which may lead to biased results.

In conclusion, HL was associated with DR, but this effect was not mediated by the classical clinical variables.

Acknowledgments

We are indebted to CAPES (Coordination for the Improvement of Higher Education Personnel) for enabling the execution of this project with the doctoral scholarship to J.C. Breder (process number 88882.434710/2019-01).

References

  • 1
    Nutbeam D, Muscat DM. Health Promotion Glossary 2021. Health Promot Int 2021; 36: 1578-1598, doi: 10.1093/heapro/daaa157.
    » https://doi.org/10.1093/heapro/daaa157
  • 2
    Schillinger D, Grumbach K, Piette J, Wang F, Osmond D, Daher C, et al. Association of Health Literacy With Diabetes Outcomes. JAMA 2002; 288: 475-82, doi: 10.1001/jama.288.4.475.
    » https://doi.org/10.1001/jama.288.4.475
  • 3
    Berkman ND, Sheridan SL, Donahue KE, Halpern DJ, Viera A, Crotty K, et al. Health literacy interventions and outcomes: an updated systematic review. Evid Rep Technol Assess (Full Rep) 2011; 1-941.
  • 4
    Wolf MS, Knight SJ, Lyons EA, Durazo-Arvizu R, Pickard SA, Arseven A, et al. Literacy, race, and PSA level among low-income men newly diagnosed with prostate cancer. Urology 2006; 68: 89-93, doi: 10.1016/j.urology.2006.01.064.
    » https://doi.org/10.1016/j.urology.2006.01.064
  • 5
    Kim S, Love F, Quistberg DA, Shea JA. Association of health literacy with self-management behavior in patients with diabetes. Diabetes Care 2004; 27: 2980-2982, doi: 10.2337/diacare.27.12.2980.
    » https://doi.org/10.2337/diacare.27.12.2980
  • 6
    International Diabetes Federation. IDF Diabetes Atlas 10th Edition; 2021.
  • 7
    Teo ZL, Tham YC, Yu M, Chee ML, Rim TH, Cheung N, et al. Global prevalence of diabetic retinopathy and projection of burden through 2045: systematic review and meta-analysis. Ophthalmology 2021; 128: 1580-1591, doi: 10.1016/j.ophtha.2021.04.027.
    » https://doi.org/10.1016/j.ophtha.2021.04.027
  • 8
    Antonetti DA, Klein R, Gardner TW. Diabetic retinopathy. N Engl J Med 2012; 366: 1227-1239, doi: 10.1056/NEJMra1005073.
    » https://doi.org/10.1056/NEJMra1005073
  • 9
    Lachin JM, Genuth S, Nathan DM, Zinman B, Rutledge BN. Effect of glycemic exposure on the risk of microvascular complications in the diabetes control and complications trial--revisited. Diabetes 2008; 57: 995-1001, doi: 10.2337/db07-1618.
    » https://doi.org/10.2337/db07-1618
  • 10
    Shrestha B, Dunn L. The declaration of Helsinki on medical research involving human subjects: a review of seventh revision. J Nepal Health Res Counc 2020; 17: 548-552, doi: 10.33314/jnhrc.v17i4.1042.
    » https://doi.org/10.33314/jnhrc.v17i4.1042
  • 11
    Barroso WKS, Rodrigues CIS, Bortolotto LA, Mota-Gomes MA, Brandão AA, Feitosa ADM, et al. Brazilian guidelines of hypertension - 2020. Arq Bras Cardiol 2021; 116: 516-658, doi: 10.36660/abc.20201238.
    » https://doi.org/10.36660/abc.20201238
  • 12
    Safe Injection Global Network, World Health Organization. WHO guidelines on drawing blood: best practices in phlebotomy. Geneva; 2010. p 1-125.
  • 13
    Apolinario D, Braga RCOP, Magaldi RM, Busse AL, Campora F, Brucki S, et al. Short assessment of health literacy for Portuguese-speaking adults. Rev Saude Publica 2012; 46: 702-711, doi: 10.1590/S0034-89102012005000047.
    » https://doi.org/10.1590/S0034-89102012005000047
  • 14
    Kernan WN, Ovbiagele B, Black HR, Bravata DM, Chimowitz MI, Ezekowitz MD, et al. Guidelines for the prevention of stroke in patients with stroke and transient ischemic attack: a guideline for healthcare professionals from the American Heart Association/American Stroke Association. Stroke 2014; 45: 2160-2236, doi: 10.1161/STR.0000000000000024.
    » https://doi.org/10.1161/STR.0000000000000024
  • 15
    Wat N, Wong RLM, Wong IYh. Associations between diabetic retinopathy and systemic risk factors. Hong Kong Med J 2016; 22: 589-599.
  • 16
    Abdullah A, Liew SM, Salim H, Ng CJ, Chinna K. Prevalence of limited health literacy among patients with type 2 diabetes mellitus: a systematic review. PLoS One 2019; 14: e0216402, doi: 10.1371/journal.pone.0216402.
    » https://doi.org/10.1371/journal.pone.0216402
  • 17
    Saeed H, Saleem Z, Naeem R, Shahzadi I, Islam M. Impact of health literacy on diabetes outcomes: a cross-sectional study from Lahore, Pakistan. Public Health 2018; 156: 8-14, doi: 10.1016/j.puhe.2017.12.005.
    » https://doi.org/10.1016/j.puhe.2017.12.005
  • 18
    Al Ghamdi AH. Clinical predictors of diabetic retinopathy progression; a systematic review. Curr Diabetes Rev 2020; 16: 242-247.
  • 19
    Lee YY, Lin JL. The effects of trust in physician on self-efficacy, adherence and diabetes outcomes. Soc Sci Med 2009; 68: 1060-1068, doi: 10.1016/j.socscimed.2008.12.033.
    » https://doi.org/10.1016/j.socscimed.2008.12.033
  • 20
    Tan TE, Wong TY. Diabetic retinopathy: looking forward to 2030. Front Endocrinol (Lausanne) 2023; 13: 1077669.

Publication Dates

  • Publication in this collection
    22 Jan 2024
  • Date of issue
    2024

History

  • Received
    29 June 2023
  • Accepted
    11 Dec 2023
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