Volume 2024, Issue 1 2156630
Research Article
Open Access

Association between Subclinical Hypothyroidism and Glycemic Control in Older Adults in a Medical Center in Peru

Karen Quintanilla

Karen Quintanilla

Universidad Científica del Sur , Facultad de Ciencias de la Salud , Carrera de Medicina Humana , CHANGE Research Working Group , Lima , Peru , cientifica.edu.pe

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Karla M. Joo

Karla M. Joo

Centro de Investigación del Envejecimiento (CIEN) Facultad de Medicina Humana , Universidad San Martín de Porres , Lima , Peru

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Hellen L. La Torre

Hellen L. La Torre

Centro de Investigación del Envejecimiento (CIEN) Facultad de Medicina Humana , Universidad San Martín de Porres , Lima , Peru

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Carlos D. Neyra-Rivera

Carlos D. Neyra-Rivera

Facultad de Ciencias de la Salud , Universidad Tecnológica del Perú , Lima , Peru , anahuac.mx

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Ericson L. Gutierrez

Corresponding Author

Ericson L. Gutierrez

Universidad San Ignacio de Loyola , Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud , Lima , Peru , usil.edu.pe

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José F. Parodi

José F. Parodi

Centro de Investigación del Envejecimiento (CIEN) Facultad de Medicina Humana , Universidad San Martín de Porres , Lima , Peru

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Fernando M. Runzer-Colmenares

Corresponding Author

Fernando M. Runzer-Colmenares

Universidad Científica del Sur , Facultad de Ciencias de la Salud , Carrera de Medicina Humana , CHANGE Research Working Group , Lima , Peru , cientifica.edu.pe

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First published: 03 September 2024
Academic Editor: Tomasz Kostka

Abstract

Objective. To determine whether there is an association between subclinical hypothyroidism and glycemic control in older adults who received care at the “Centro Médico Naval” from 2010 to 2015. Methods. This retrospective analytical study analyzed a secondary database of the care of elderly in the study hospital. The sample was comprised of 1,385 older adults. To detect an association between variables, the Poisson regression with robust variance was used at a significance level of 95%. The analyses were carried out with the STATA 16 program. Results. Of the elderly 45.6% were between 71 and 80 years old; 58.4% were women and 43.8% had a normal body mass index. There was evidence of inadequate glycemic control in 8.1% and subclinical hypothyroidism in 15.2% of the elderly patients. Subclinical hypothyroidism was more frequent in the inadequate glycemic control vs. adequate glycemic control populations (41.1% vs. 13.0%). In the multivariance analysis, subclinical hypothyroidism (aPR = 2.22 95% CI [1.47–3.36]) was independent factor associated with inadequate glycemic control (p < 0.001). Conclusions. A significant association was detected between subclinical hypothyroidism and inadequate glycemic control in older adults who presented at the “Centro Médico Naval” from 2010 to 2015.

1. Introduction

An older adult is more predisposed to acquire metabolic disorders due to multiple factors. For example, the elderly have greater prevalence of systemic chronic inflammatory reaction, oxidative stress, damaged DNA, cellular senescence, tissular dysfunction, and decreased mitochondrial dysfunction [1].

Additionally, aging is associated with deterioration of insulin secretion by beta cells in response to endogenous incretin hormones, which in turn is associated with a reduction in insulin sensitivity and promotes beta cell death by inducing mitochondrial dysfunction. Furthermore, there is a decrease in preadipocyte replication with expansion of senescent cells in the adipose tissue that increases lipotoxicity and favors a proinflammatory state [2]. Aging is also associated with changes in corporal composition and an increase in fatty mass, especially the visceral type, combined with a decrease of lean and skeletal mass [3], all of which causes a gradual intolerance to glucose and poor glycemic control.

Alterations in thyroid hormones have repercussions on the metabolism. For example, in hypothyroidism there is a decrease in insulin production by beta cells, and muscle cells develop less insulin sensitivity. Subclinical hypothyroidism shows an increase in insulin resistance due to a decrease in glucose transportation by the glucose 2 transporter (GLUT2) caused by a translocation of the GLUT 2 gene. Moreover, DM is a risk factor for thyroid disease because it alters thyroid-stimulating hormone (TSH) levels and the conversion of T4 to T3 in peripheral tissues. Hyperinsulinemia and insulin resistance can cause a proliferation of thyroid tissue, increasing the risk of developing lymphatic nodules and goiter [4].

In studies restricted to older persons, the reported prevalence of overt hypothyroidism has ranged between 0.2–5.7% and subclinical hypothyroidism between 1.5% and 12.5% of patients, making it the most prevalent endocrine disease among the aged, with a mayor prevalence in the female population [5]. In more recent studies in Europe, the prevalence of hypothyroidism was 4.7%, 4.11% for subclinical and 0.65% for overt hypothyroidism, with women over 65 years of age being the most affected [6]. This high prevalence can be explained by a decrease in organification and absorption of iodine and altered response to TSH in the elderly. In addition, changes in bioactivity, the sensitivity of thyrocytes to TSH hormone thyroid metabolism, and in the receptors and cofactors that modulate response to the influx of T3 cells have been described. In other words, these processes lead to a decrease in thyroid hormone production [7].

Regarding the variables related to thyroid function and glycemic control, it has been observed that among people with diabetes, females taking antihypertensive medications, who have a low educational level, are associated with thyroid dysfunction [8]. Additionally, DM type 2 patients that also have subclinical hypothyroidism have a greater risk of developing complications like cardiovascular disease [8, 9] and proliferative diabetic retinopathy [10].

Determining if there is an association between subclinical hypothyroidism and glycemic control in the elderly is relevant because it can lead to a better understanding of the pathogenesis and treatment of thyroid disease and diabetes. Complications may be prevented with better control.

The present study, therefore, aimed to determine if there is an association between subclinical hypothyroidism and glycemic control in older adults who presented at the Medical Navy Center of Peru between the years of 2010 and 2015.

2. Methods

2.1. Study Design

This study was a retrospective analytical study including a secondary analysis of the database of a study conducted in a Medical Navy Center (CEMENA) located in the Bellavista-Callao district in Peru, in which retired military personnel and their direct family members reside and receive care. The data were obtained from a cohort of adults older than 60 years of age from 2010 to 2015. The study was approved by the Ethics Committee of the Cientifica del Sur University (No. 113-CIEI-CIENTIFICA-2019, and registry code: 178-2019-PRE15). Participant anonymity was maintained and only necessary information was used to conduct the study.

2.2. Setting and Participants

The original population of the study was comprised of 1987 participants over the age of 60 years who were treated on an outpatient basis in the Geriatrics Service of the Naval Medical Center “Cirujano Mayor Santiago Távara” from 2010 to 2015. The participants were divided into 2 groups: first, older adults with inadequate glycemic control, and second, older adults with adequate glycemic control. The geriatric patients with a preceding diagnosis of primary or secondary hypothyroidism, DM, and the ones that did not have enough information for the variable of interest (glycemic control) were excluded. The final sample was comprised of 1385 older adults.

2.3. Data Collection Process

In the present study, the dependent variable was glycemic control and was defined as glycemic monitoring based on the evaluation of glycosylated hemoglobin (HbA1c) values and fasting glucose at baseline. Good glycemic control was considered with fasting glucose values between 90 and 130 mg/dL (5.0–7.2 mmol/L) and glycosylated hemoglobin levels ≤7.5%. Inadequate glycemic control was considered if any of these values were altered. The independent variable was subclinical hypothyroidism, which was defined as TSH concentrations above the upper normal limit together with free T4 concentrations within the reference range. Reference values were between 5 and 15 mU/L for TSH and between 0.7 and 1.8 ng/dL for free T4 [11, 12].

The analyzed variables were age; sex; education; marital status; body mass index (BMI), weight in kilograms divided by the square of height in meters; comorbidities, the coexistence of two or more diseases in the same person, for example, renal chronic disease with or without controls, arterial hypertension with treatment or recently diagnosed; polypharmacy, consumption of various drugs at the same time, i.e., more than 5 drugs were considered.

2.4. Statistical Analysis

The statistical analysis was performed using the statistical program STATA version 16. Descriptive statistics were used to determine percentages. The chi-square test was used to analyze potential associations between patient characteristics (age, sex, education, marital status, BMI, comorbidities, and polypharmacy) and glycemic control in the bivariate analysis. Finally, for the multivariate analysis, the Poisson regression with robust variance was used to determine if there is an association between the characteristics of older adults and glycemic control. The prevalence ratio (PR) was calculated with a confidence interval of 95% (95% CI).

3. Results

In this study, initially 1987 participants were selected; however, the final study sample comprised of data from 1385 older adults as those individuals that did not meet the inclusion criteria were excluded. Regarding the general characteristics, 45.6% of participants were between 71 and 80 years old; 58.4% were females; 65.3% were married; 43.8% had a normal BMI; 60.8% had arterial hypertension; 5.3% had chronic kidney disease; 29.5% had polypharmacy; and 15.2% had subclinical hypothyroidism (Table 1).

Table 1. General characteristics of the study sample.
General data n = 1,385 %
Age
 60–70 years 215 15.5
 71–80 years 632 45.6
 >80 years 538 38.8
Sex1
 Female 809 58.4
 Male 571 41.2
Education1
 Education (≤11 years) 906 65.4
 Education (>11 years) 384 27.7
Marital Status1
 Single 39 2.8
 Married 904 65.3
 Widowed 257 18.6
 Divorced 52 3.8
Body mass index1
 Low weight 50 3.6
 Normal weight 606 43.8
 Overweight 330 23.8
 Obese 210 15.2
Hypertension1
 Yes 842 60.8
 No 530 38.3
Chronic kidney disease
 Yes 73 5.3
 No 1,312 94.7
Polypharmacy1
 Yes 409 29.5
 No 909 65.6
Subclinical hypothyroidism
 Yes 211 15.2
 No 1,174 84.8
  • 1The data did not add up to 1385 due to missing information.

Among the elderly studied, 8.1% had inadequate glycemic control, and 91.9% had adequate glycemic control. Significant differences were found with respect to sex, marital status, BMI, arterial hypertension, chronic kidney disease, polypharmacy, and subclinical hypothyroidism between the two study groups (adequate versus inadequate glycemic control) (Table 2). In the first group, 72.3% were females, compared to only 57.4% in the second group. The proportion of married older adults was greater in the first group (83.3% vs. 71.2%, respectively), while the proportion of widowers was smaller in this group (10.2% vs. 21.5%). On the other hand, the proportion of the elderly with normal weight was greater in the first group (57.4% vs. 50.0%), while the proportion of older adults who were overweight was lower (13.9% vs. 28.9%). The proportion of older adults with chronic kidney disease (18.8% vs. 4.1%), polypharmacy (96.4% vs. 25.0%), and subclinical hypothyroidism (41.1% vs. 13.0%) was greater in the first group compared with the second group. Finally, the proportion of arterial hypertension was lower in the first group (52.7% vs. 62.1%, respectively).

Table 2. General characteristics of the sample according to glycemic control.
General data Inadequate glycemic control n = 112 (8.1%) Adequate glycemic control n = 1,273 (91.9%) p2
n % n %
Age
 60–70 years 11 9.8 204 16.0 0.140
 71–80 years 59 52.7 573 45.0
 >80 years 42 37.5 496 39.0
Sex1
 Female 81 72.3 728 57.4 0.002
 Male 31 27.7 540 42.6
Education1
 Education (≤11 years) 76 70.4 830 70.2 0.974
 Education (>11 years) 32 29.6 352 29.8
Marital status1
 Single 5 4.6 34 3.0 0.014
 Married 90 83.3 814 71.2
 Widowed 11 10.2 246 21.5
 Divorced 2 1.9 50 4.4
Body mass index1
 Low weight 17 16.8 33 3.0 <0.001
 Normal weight 58 57.4 548 50.0
 Overweight 14 13.9 316 28.9
 Obese 12 11.9 198 18.1
Hypertension1
 Yes 59 52.7 783 62.1 0.049
 No 53 47.3 477 37.9
Chronic kidney disease
 Yes 21 18.8 52 4.1 <0.001
 No 91 81.3 1,221 95.9
Polypharmacy1
 Yes 108 96.4 301 25.0 <0.001
 No 4 3.6 905 75.0
Subclinical hypothyroidism
 Yes 46 41.1 165 13.0 <0.001
 No 66 58.9 1,108 87.0
  • 1The data did not add up to 1385 due to missing information. 2Chi square test.

In the multivariance analysis, female sex (aPR = 1.71 95% CI [1.11–2.62]), low weight (aPR = 1.67 95% CI [1.13–2.45]), polypharmacy (aPR = 5.98 95% CI [2.39–11.14]), subclinical hypothyroidism (aPR = 2.22 95% CI [1.47–3.36]), married (aPR = 0.59 95% CI [0.37–0.94]), widowed (aPR = 0.25 95% CI [0.13–0.50]), and overweight (aPR = 0.36 95% CI [0.21x0.61]) were independent factors associated with inadequate glycemic control (Table 3).

Table 3. Poisson regression.
Variables Crude model PR (95% CI) Adjusted model1 PR (95% CI)
Female sex 1.84 (1.24–2.75) 1.71 (1.11–2.62)
Marital status
 Single Reference Reference
 Married 0.78 (0.33–1.80) 0.59 (0.37–0.94)
 Widowed 0.33 (0.12–0.91) 0.25 (0.13–0.50)
 Divorced 0.30 (0.66–1.47) 0.62 (0.23–1.66)
Body mass index
 Normal Reference Reference
 Low weight 3.55 (2.25–5.61) 1.67 (1.13–2.45)
 Overweight 0.44 (0.25–0.78) 0.36 (0.21–0.61)
 Obese 0.60 (0.33–1.09) 0.93 (0.58–1.48)
Hypertension 0.70 (0.50–1.01) 1.31 (0.94–1.83)
Chronic renal disease 4.15 (2.75–6.26) 1.09 (0.61–1.60)
Polypharmacy 6.01 (2.22–7.35) 5.98 (2.39–11.14)
Subclinical hypothyroidism 3.88 (2.74–5.48) 2.22 (1.47–3.36)
  • PR: prevalence ratio, CI: confidence interval. 1Model adjusted for all covariables present in the table. Calculated by Poisson regression. Association between general characteristics and glycemic control in older adults from the naval medical center 2010–2015.

4. Discussion

The present study found an association between subclinical hypothyroidism and inadequate glycemic control. These results are similar to those reported in previous studies [1315]. This relationship may be explained by the mechanisms of thyroid dysfunction such as alteration of the expression of a group of genes that cause physiological anomalies and decrease transport of glucose to cells, decrease absorption of splanchnic glucose, and increase release of glucose by the liver. Moreover, subclinical hypothyroidism can cause insulin resistance due to a translocation of the gene that encodes GLUT2 [4].

A considerable proportion of the aged was found to be overweight and/or obese, or had arterial hypertension, chronic renal disease, polypharmacy, and/or subclinical hypothyroidism. These findings may be explained by an increase in chronic comorbidities and polypharmacy present in older adults due to physiological, cultural, and socioeconomic changes [16]. Older adults have a greater risk of acquiring subclinical hypothyroidism due to a reduction in thyroid hormones caused by physiological changes, such as an alteration of the absorption and organification of iodine, a decrease in the sensitivity of thyrocytes to TSH, and pathological changes including comorbidities such as diabetes mellitus [2, 3, 7]. In the present study, the prevalence of subclinical hypothyroidism was 15.2%, which is greater than what has been reported in other studies [6, 17].

Additionally, 8.1% of the older adults in the present study had inadequate glycemic control. Physiological changes that occur in older adults may explain the inadequate glycemic control, including a greater composition of fatty mass with an increase in adipocyte inflammation, a reduction in lean mass, an increase in chronic systemic inflammation with oxidative stress, and a decrease in beta cells and their response to incretins which in turn induces an increase in insulin resistance [2, 3].

Participants who were overweight had a lower probability of having inadequate glycemic control, while those with low weight had a greater risk of presenting inadequate glycemic control. These results differ from those of other studies which found that an increase in BMI was associated with poor glycemic control due to hyperinsulinemia and insulin resistance which are related to obesity [18]. Furthermore, blood glucose levels may be more difficult to control in obese people [19]. There were other studies that had similar results to those of the present study, which showed that an increase in BMI is associated with a lower HbA1c. This finding may be attributed to the fact that weight loss caused by accumulated chronic metabolic inflammation and certain behaviors, such as smoking, can alter pancreatic beta cells and increase HbA1c [20].

Polypharmacy can be associated with poor adherence to treatment, with a decrease in hypoglycemic medication consumption and poor glycemic control [18]. Some studies have described a rate of therapeutic compliance less than 50% in patients with DM type 2 [21].

It is possible that polypharmacy could be a risk factor for hypothyroidism given that it was present in the majority of the participants (96.4%). The medications most associated with altered thyroid function include amiodarone, which can be administered for arrhythmias, a common condition in the elderly [22]. Other medications include lithium, antidepressants, antiepileptics, and rifampicin [23].

Similar to DM as the principal cause of inadequate glycemic control, there are other comorbidities that could alter glycemia such as high BMI, medications like corticosteroids, estrogens, and phenytoin, as well as conditions like acromegaly and Cushing’s syndrome [2426].

According to the present findings that subclinical hypothyroidism is associated with inadequate glycemic control in the elderly are important because subclinical hypothyroidism is difficult to diagnose due to its subtle clinical manifestations. Moreover, in elderly with multiple comorbidities the manifestations may be masked or go undetected. Nevertheless, even though hypothyroidism can have imperceptible clinical manifestations, it can have severe health consequences. Thus, these results suggest the need for screening for one of these pathological conditions in the aged when the other condition is present, to achieve an early diagnosis and apply interventions for their control to minimize consequences.

One of the main limitations of this study was the limited studies performed on a national level, and consequently, a lack of data with which to compare the results found in this investigation. Moreover, the population studied was derived from a small sector (Naval Medical Center) that may not reflect the prevalence of the country. Furthermore, it is not possible to determine any causal relationships with the findings in this study; so, implications should be taken cautiously. However, this study contributes findings that may have clinical relevance to the scientific community and may motivate future investigations from different institutional and population samples.

In conclusion, a significant statistical association was found between the presence of subclinical hypothyroidism and inadequate glycemic control. We recommend performing similar investigations in populations from other regions and institutions to obtain a better picture at the national level.

Disclosure

A preprint has previously been published [27].

Conflicts of Interest

The authors declare that they have no conflicts of interest with respect to the research, authorship, and/or publication of this article.

Authors’ Contributions

Ericson L. Gutierrez and Fernando M. Runzer-Colmenares contributed equally to this work.

Acknowledgments

The authors thank the Universidad Científica del Sur for their support in the publication of this research (178-2019-PRE15).

    Data Availability

    The data used to support the findings of this study are included within the article.

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