Abstract
Introduction
Undernutrition is prevalent in older age. Current management of type 2 diabetes mellitus (T2DM) requires modified diet patterns; however, older adults with diabetes may also be at the risk of undernutrition due to age, disease, and medication-related factors. Our objectives in this study were to examine the proportion and associations of undernutrition among community-dwelling older adults with T2DM.
Methods
This prospective, cross-sectional study involved older outpatient adults (≥ 65 years) with and without T2DM. We assessed the nutritional status using the Mini Nutritional Assessment-Short Form. Undernutrition referred to being either at risk of malnutrition or malnourished. Variables independently associated with undernutrition were evaluated by logistic regression analysis.
Results
Five hundred forty-six older adults [n = 215 with T2DM and n = 331 control; mean (SD) age, 74.9 (6.3) years; 388 (71.1%) female] were included in the study. The frequency of undernutrition was 31.1%, which was higher in patients with T2DM than in those without (36.7% vs. 27.5%, p < 0.05). However, the difference was no longer significant after adjustment for covariates (gender, lower education, lower body mass index, cardiovascular disease, multimorbidity, cognitive performance, functional performance, depressive symptoms, and polypharmacy). In the T2DM group, the ratio of multiple antihyperglycemic drug use (≥ 2) was higher in those with undernutrition compared with normal nutritional status (78.5% vs. 59.6%, p = 0.005). On multivariable analysis, decreased functional performance, depressive symptoms, and use of multiple antihyperglycemic drugs were associated with undernutrition in patients with T2DM.
Conclusions
Undernutrition was more common among older adults with T2DM compared with the control group. Undernutrition was further dependent on chronic conditions and diabetes management.
Keywords: Antihyperglycemic medications, Diabetes mellitus, Diabetes overtreatment, Diabetes undertreatment, Elderly, Glycated hemoglobin, Malnutrition, Undernutrition
Introduction
The term “malnutrition” is frequently used synonymously with “undernutrition” in the elderly [1]. Like many chronic conditions, undernutrition is prevalent among older adults and affects > 50% of nursing home residents [2, 3]. According to the latest International Diabetes Federation report (2017), the worldwide prevalence of diabetes mellitus (DM) among older adults (aged ≥ 65 years) is 18.8% and can be as high as 26.3% in North America [4]. Although one of the management strategies of type 2 DM (T2DM) is dietary modification as part of lifestyle changes [5–7], undernutrition may also occur in an older adult despite the diagnosis of T2DM. Indeed, unhealthy lifestyle behaviors are frequent among adults with DM aged ≥ 50 years [8]. In addition to multiple comorbidities and medications, these patients may have appetite changes, mobility limitations, social isolation, and economic difficulties, which contribute to poor nutritional status [9, 10]. Moreover, the consequences of undernutrition may be more troublesome in older adults with DM as they are prone to faster functional and cognitive decline [11–13]. These patients also have more comorbidities and complications compared with individuals without DM [14]. A recent study reported 69% higher mortality rates among patients with diabetes having undernutrition compared with those with normal nutritional status [15].
The prevalence of undernutrition may vary across populations from developed to less developed countries [6] or different settings of healthcare provision [2]. More than 50% of hospitalized older adults with DM may be at the risk of malnutrition [16, 17]. However, the rate and associations of undernutrition among community-dwelling older adults with T2DM are mostly unknown. Thus, our objectives in the present study were to investigate the frequency of undernutrition among older outpatients with T2DM compared with subjects without DM and to identify the relationships between the risk of undernutrition and other factors such as age, comorbidities, and medications.
Methods
Study Population
We recruited community-dwelling individuals who were ≥ 65 years old through the geriatrics outpatient clinic as part of a cross-sectional survey on the associations between cardiovascular disease and common geriatric comorbidities. The study sample included subjects with a history of physician-diagnosed T2DM. Individuals who had a history of T2DM but no active treatment were also included when their glycated hemoglobin (HbA1c) value was > 7%. The control group included individuals who met the following criteria; no history of DM or hypoglycemic medications, no symptom of hyperglycemia, and normal fasting plasma glucose (< 100 mg/dl) and HbA1c (< 6.5%) levels. Subjects with dementia or cognitive deficits, delirium, or overt neuropsychiatric behavior, recent major surgery, limited mobility, or significant mobility impairment were excluded. The Institutional Review Board of Gulhane School of Medicine, Ankara, Turkey, approved the study; written informed consent was obtained from each participant, and the study procedures conform to the ethical guidelines of the 1975 Declaration of Helsinki.
Working Protocol
Baseline characteristics of patients are listed in Table 1. Presence of coronary heart disease (CHD) was based on self-reported history of coronary revascularization, angiographic evidence of significant CHD, or a documented clinical history of myocardial infarction or unstable angina pectoris. Stroke diagnosis was based on self-reported history of a thrombotic event, cerebral hemorrhage, or small stroke/transient ischemic attack documented by hospital admission records. Peripheral arterial disease (PAD) was diagnosed by the ankle-brachial index measurement [18]. Cardiovascular disease (CVD) referred to the composite of CHD, stroke, and PAD. Due to lower LDL cholesterol goals, patients with T2DM were using more statins, and their mean LDL cholesterol level was lower than those without DM. Although a lower cholesterol level may be associated with malnutrition among the elderly [19], a recent study reported that statins also influence eating behavior in the long term [20]. Thus, the main dyslipidemia variable in our analyses was statin use. The definition of multimorbidity was consistent with ≥ 3 coexisting chronic conditions severe enough to require medications or lifestyle management [5, 21]. All participants had their weight, height, and body mass index (BMI) measured during the physical examination. Blood tests obtained during the outpatient geriatric evaluation were recorded for this research.
Table 1.
Basic characteristics of the study population
| Total (n = 546) | T2DM (n = 215) | Controls (n = 331) | p | |
|---|---|---|---|---|
| Age, mean (SD), years, (min–max) | 74.9 (6.3) (65–96) | 75 (6.1) (65–94) | 74.9 (6.5) (65–96) | 0.868 |
| Gender, female, n (%) | 388 (71.1) | 151 (70.2) | 237 (71.6) | 0.730 |
| BMI, kg/m2, mean (SD) | 30.6 (5.3) | 31.1 (5.5) | 30.2 (5.1) | 0.050 |
| BMI < 25, n (%) | 67 (12.3) | 23 (10.7) | 44 (13.3) | 0.366 |
| Smoking, n (%) | 151 (27.7) | 69 (32.1) | 82 (24.8) | 0.062 |
| Hypertension, n (%) | 401 (73.4) | 177 (82.3) | 224 (67.7) | < 0.001 |
| LDL cholesterol, mean (SD) | 124.0 (35.4) | 117.8 (34.8) | 128.0 (35.2) | 0.001 |
| Statin use, n (%) | 160 (29.3) | 88 (40.9) | 127 (21.8) | < 0.001 |
| CHD, n (%) | 111 (20.3) | 59 (27.4) | 52 (15.7) | 0.001 |
| Stroke, n (%) | 17 (3.1) | 10 (4.7) | 7 (2.1) | 0.129 |
| PAD, n (%) | 77 (14.1) | 39 (18.1) | 38 (11.5) | 0.029 |
| CVD, total, n (%) | 175 (32.1) | 90 (41.9) | 85 (25.7) | < 0.001 |
| GFR < 60 ml/min, n (%) | 242 (44.3) | 91 (42.3) | 151 (45.6) | 0.449 |
| Anemia, (F: < 13, M: < 12 g/dl), n (%) | 114 (20.9) | 60 (27.9) | 54 (16.3) | 0.001 |
| Vitamin B12 insufficiency (< 350), n (%) | 220 (40.3) | 83 (38.6) | 137 (41.4) | 0.517 |
| Folate insufficiency, n (%) | 43 (8.5) | 16 (8.1) | 27 (8.8) | 0.787 |
| Vitamin D insufficiency (< 20), n (%) | 147 (45.4) | 59 (46.8) | 88 (44.4) | 0.675 |
| Comorbidity count, mean (median) | 3.1 (3.0) | 3.5 (3.0) | 2.8 (3.0) | < 0.001 |
| Multimorbidity (≥ 3), n (%) | 370 (67.8) | 176 (81.9) | 194 (58.6) | < 0.001 |
| Education, years, mean (SD) | 6.9 (4.4) | 6.4 (4.3) | 7.2 (4.4) | 0.043 |
| Lower education (< 8 years), n (%) | 314 (57.5) | 132 (61.4) | 182 (55.0) | 0.139 |
| BADL score, mean (SD) | 91.3 (8.4) | 89.5 (9.4) | 92.5 (7.4) | < 0.001 |
| IADL score, mean (SD) | 14.2 (3.4) | 13.5 (4.0) | 14.7 (2.9) | < 0.001 |
| MMSE score, mean (SD) | 28 (2.5) | 27.7 (2.6) | 28.3 (2.4) | 0.002 |
| GDS score, mean (SD) | 3.1 (3.1) | 3.8 (3.4) | 2.7 (2.8) | < 0.001 |
| Depression, n (%) | 104 (19.1) | 59 (27.4) | 45 (13.6) | < 0.001 |
| Medication count, mean (SD) | 4.8 (2.8) | 6 (2.8) | 4 (2.5) | < 0.001 |
| Polypharmacy, n (%) | 276 (50.5) | 154 (71.6) | 122 (36.9) | < 0.001 |
| MNA-SF score, mean (SD) | 12.1 (2.0) | 11.8 (2.1) | 12.3 (1.9) | 0.002 |
| Undernutrition (MNA < 12), n (%) | 170 (31.1) | 79 (36.7) | 91 (27.5) | 0.023 |
| At risk of malnutrition (MNA 8–11), n (%) | 153 (28.0) | 71 (33.0) | 82 (24.8) | 0.036 |
| Malnourished (MNA 0–7) n (%) | 17 (3.1) | 8 (3.7) | 9 (2.7) | 0.616 |
Polypharmacy was defined as taking five different classes of medications. See text for other details
SD standard deviation, BMI body mass index, LDL low density lipoprotein, CHD coronary heart disease, PAD peripheral arterial disease, CVD cardiovascular disease, GFR glomerular filtration rate, MMSE mini mental state examination, BADL basic activities of daily living, IADL instrumental activities of daily living, GDS geriatric depression scale, MNA-SF mini nutritional assessment-short form
Significant p values are in bold
We evaluated the nutritional status using the Mini Nutritional Assessment short form (MNA-SF) [22]. The sum of questions on the MNA-SF can provide a maximum score of 14; a score ≥ 12 indicates normal nutritional status, a score between 8 and 11 indicates “at risk for malnutrition,” and a 0–7 score is indicative of “malnourishment.” Instead of the term “malnutrition,” “undernutrition” is used synonymously in the present report, which covers subjects who are classified as either malnourished or at risk of malnutrition by the MNA-SF [1].
We determined functional performance through the Barthel Index [23], which rates basic activities of daily living (BADL), and the Lawton-Brody instrumental activities of daily living (IADL) scale [24]. To assess cognitive functions, we used the Mini-Mental State Examination test (scores 0–30; higher scores show better cognitive functions) [25]. We evaluated depressive symptoms by the Geriatric Depression Scale (GDS) [26] (scores 0–15; scores > 5 show depression). Dementia was excluded using previously established criteria [27, 28].
Over- and undertreatment of DM was defined according to the health status-based HbA1c goals as recommended by the American Geriatrics Society (7.0–7.5%, 7.5–8.0%, and 8–9%) [29]. We defined the patients over- or undertreated when their HbA1c value remained below or above the recommended lower or upper limit for the corresponding health status category [5, 29]. Multiple antihyperglycemic drug use referred to the prescription of ≥ 2 antihyperglycemics (oral agents or oral agents plus insulin), and an insulin-based treatment indicated the use of insulin alone or insulin plus oral antihyperglycemics.
Statistical Analyses
Continuous variables were presented as mean (standard deviation). Categorical data were described as an absolute number and a percentage of the total or either group. Nonnormal distribution was tested by the Shapiro-Wilk test. Differences between patients with and without diabetes were analyzed using the independent t test, χ2 test, or Mann-Whitney U test. Spearman rank correlation coefficients were calculated to test linear correlations, and partial correlations were calculated by controlling for covariates. Uni- and multivariate logistic regressions were studied to identify independent variables associated with undernutrition. Associations at p ≤ 0.25 in univariate analysis were entered in the full model. The Box-Tidwell test was used to check the linearity of the logit for the continuous independent variables in logistic regression analysis. No significant violations of the linearity in the logit assumption were observed in the two final models. Multicollinearity was studied in each model. Statistical significance was accepted at p < 0.05. All analyses were performed using SPSS (PASW) 23.0 software (SPSS Inc., Chicago, IL).
Results
Patient Description
The total sample included 546 participants (mean age: 74.9 ± 6.3 years, female: 71.1%). T2DM (n = 215) and control (n = 331) groups were matched for age and gender. As shown in Table 1, hypertension, statin use, CHD, PAD, CVD, anemia, and multimorbidity were more prevalent in patients with T2DM. These patients also had lower scores on MMSE, BADLs, and IADLs and higher scores on GDS compared with controls. Medication count and polypharmacy were also significantly higher in the T2DM group. There was a marginally significant difference in mean BMI between the patients and controls, but the proportion of individuals with BMI < 25 was similar.
Frequency of Undernutrition in the Total Sample
Mean MNA-SF score was significantly lower in patients with T2DM (Table 1). The proportion of subjects having undernutrition according to the MNA-SF score was 31.1% in the total sample. Most of the participants (90%) having undernutrition fell under the “at-risk” category. As shown in Table 1, patients with T2DM had a significantly higher prevalence of undernutrition compared with the controls. However, this difference was evident only in the “at-risk” category. The proportion of malnourished individuals was overall small in the two groups. There was no age-adjusted correlation between the MNA score and HbA1c in patients with T2DM (r = − 0.060, p = 0.423).
Undernutrition and Normal Nutritional Status in Patients with T2DM
T2DM patients having undernutrition (n = 79) and normal nutritional status (n = 136) were similar for most parameters. However, those having undernutrition were more often female and had more CHD, PAD, composite CVD, anemia, and multimorbidity (Table 2). Compared with those with normal nutritional status, the mean BMI was slightly higher in patients with undernutrition, but the prevalence of BMI < 25 was similar. Patients with undernutrition also had lower scores on MNA-SF, MMSE, BADL, and IADL tests and higher scores on GDS. Interestingly, their fasting plasma glucose was higher than in those with normal nutritional status. There were age-adjusted partial correlations between the MMSE and MNA-SF scores in both the total sample (r = 0.306, p < 0.001) and T2DM group (r = 0.332, p < 0.001).
Table 2.
Comparisons of patients with T2DM with and without undernutrition
| Undernutrition (n = 79) | Normal nutrition (n = 136) | p | |
|---|---|---|---|
| Age, years, mean (SD) | 74.7 (6.2) | 75.2 ± (6.0) | 0.551 |
| Gender, female, n (%) | 66 (83.5) | 85 (62.5) | 0.001 |
| BMI, kg/m2, mean (SD) | 31.1 (5.5) | 30.2 (5.1) | 0.050 |
| BMI < 25, n (%) | 23 (10.7) | 44 (13.3) | 0.366 |
| WHR, mean (SD) | 0.98 (0.07) | 0.98 (0.08) | 0.702 |
| WHR increased, n (%) | 76 (96.2) | 130 (95.6) | 0.828 |
| Smoking, n (%) | 24 (30.4) | 45 (33.1) | 0.682 |
| Hypertension, n (%) | 65 (82.3) | 112 (82.4) | 0.989 |
| LDL cholesterol, mean (SD) | 116.1 (32.2) | 118.8 (36.0) | 0.575 |
| Statin use, n (%) | 37 (46.8) | 51 (37.5) | 0.180 |
| CHD, n (%) | 29 (36.7) | 30 (22.1) | 0.020 |
| Stroke, n (%) | 4 (5.1) | 6 (4.4) | 0.827 |
| PAD, n (%) | 21 (26.6) | 18 (13.2) | 0.014 |
| CVD, total, n (%) | 41 (51.9) | 49 (36.0) | 0.023 |
| GFR < 60 ml/min, n (%) | 36 (45.6) | 55 (40.4) | 0.463 |
| Anemia, n (%) (Hb:F < 12, M < 13) | 26 (32.9) | 22 (16.2) | 0.004 |
| Vitamin B12 insufficiency (< 350), n (%) | 54 (36.7) | 29 (39.7) | 0.663 |
| Folate insufficiency, n (%) | 5 (6.7) | 11 (8.9) | 0.569 |
| Vitamin D insufficiency (< 20), n (%) | 48.7 (48.7) | 40 (46.0) | 0.776 |
| Comorbidity count, mean (median) | 4.0 (1.6) | 3.3 (1.2) | 0.001 |
| Multimorbidity (≥ 3), n (%) | 176 (81.9) | 194 (58.6) | < 0.001 |
| Education, years, mean (SD) | 5.1 (4.0) | 4.0 (1.6) | 0.001 |
| Lower education (< 8 years), n (%) | 132 (61.4) | 182 (55) | 0.139 |
| MNA-SF score, mean (SD) | 9.6 (1.7) | 13.1 (0.9) | < 0.001 |
| MMSE score, mean (SD) | 26.7 (3.3) | 28.3 (1.9) | < 0.001 |
| BADL score, mean (SD) | 85.3 (11.7) | 92.0 (6.8) | < 0.001 |
| IADL score, mean (SD) | 26.7 (3.3) | 28.3 (1.9) | < 0.001 |
| GDS, mean (SD) | 5.7 (3.5) | 2.7 (2.8) | < 0.001 |
| Depression, n (%) | 37 (46.8) | 22 (16.6) | < 0.001 |
| Medication count, mean (SD) | 6 (2.8) | 4 (2.5) | < 0.001 |
| Polypharmacy, n (%) | 154 (71.6) | 122 (36.9) | < 0.001 |
| FPG, mean (SD) | 145.0 (60.7) | 129.4 (45.7) | 0.033 |
| HbA1c, mean (SD) | 7.3 (2.1) | 6.7 (1.4) | 0.104 |
| Length of DM diagnosis, years, mean (SD) | 12.2 (9.9) | 9.9 (8.6) | 0.116 |
| Multiple antihyperglycemic use, n (%) | 62 (78.5) | 81 (59.6) | 0.005 |
| Insulin-based treatment, n (%) | 22 (27.8) | 28 (20.6) | 0.224 |
| DM overtreatment, n (%) | 39 (59.1) | 80 (71.4) | 0.091 |
| DM undertreatment, n (%) | 16 (24.2) | 15 (13.4) | 0.065 |
SD standard deviation, BMI body mass index, WHR waist-to-hip ratio, LDL low density lipoprotein, CHD coronary heart disease, PAD peripheral arterial disease, CVD cardiovascular disease, GFR glomerular filtration rate, MNA-SF mini nutritional assessment short form, MMSE mini mental state examination, BADL basic activities of daily living, IADL instrumental activities of daily living, GDS geriatric depression scale, FPG fasting plasma glucose, DM diabetes mellitus
Significant p values are in bold
There were numeric but nonsignificant differences between the patients with T2DM with and without undernutrition in the length of diabetes diagnosis, HbA1c, and the rates of over- and undertreatment. More patients with undernutrition were using multiple antihyperglycemic agents (≥ 2) compared with those with normal nutritional status (Table 2). There was no patient with normal nutritional status taking triple antihyperglycemics (≥ 3 oral agents or insulin), but 8.9% of the patients with undernutrition were on such treatment. Use of insulin-based treatments (single insulin or insulin plus oral antihyperglycemics) was similar in patients with and without undernutrition. The length of diabetes duration (mean approximately 10 years) correlated positively with the number of antihyperglycemic drugs (r = 0.338, p < 0.001).
Multiple Antihyperglycemic Use and its Association with Undernutrition
Uni- and multivariate associations of undernutrition with the study variables were tested in the total sample (Table 3). Logistic regression analysis showed that a lower BMI, lower scores on the Barthel Index, lower scores on MMSE, and presence of depressive symptoms were independently associated with undernutrition in the total sample.
Table 3.
Multivariable logistic regression (total sample)
| Predictor variable | Univariate | Multivariate | ||
|---|---|---|---|---|
| OR (95% CI) | p | OR (95% CI) | p | |
| DM | 1.53 (1.06–2.21) | 0.023 | 1.05 (0.66–1.67) | 0.846 |
| Age | 1.00 (0.97–1.03) | 0.969 | – | |
| Gender | 2.54 (1.62–3.99) | < 0.001 | 1.57 (0.89–2.76) | 0.116 |
| Lower education (< 8 years) | 2.17 (1.47–3.18) | < 0.001 | 1.23 (0.75–2.01) | 0.410 |
| BMI < 25 | 1.71 (1.01–2.87) | 0.046 | 2.66 (1.40–5.04) | 0.003 |
| Smoking | 1.00 (0.67–1.50) | 0.998 | – | |
| Hypertension | 1.01 (0.67–1.52) | 0.976 | – | |
| Statin use | 1.62 (1.09–0.74) | 0.658 | – | |
| CVD | 1.50 (1.02–2.19) | 0.038 | 1.04 (0.64–1.69) | 0.876 |
| GFR < 60 ml/min | 1.13 (0.79–1.63) | 0.497 | – | |
| Anemia | 1.53 (0.99–2.35) | 0.054 | 1.20 (0.70–2.06) | 0.500 |
| Vitamin B12 insufficiency | 1.22 (0.84–1.75) | 0.300 | – | |
| Folate insufficiency | 1.18 (0.61–2.27) | 0.631 | – | |
| Vitamin D3 insufficiency | 1.12 (0.69–1.81) | 0.642 | – | |
| Multimorbidity | 1.49 (0.99–2.22) | 0.053 | 0.75 (0.45–1.26) | 0.278 |
| BADL score | 0.91 (0.89–0.94) | < 0.001 | 0.93 (0.90–0.97) | < 0.001 |
| IADL score | 0.82 (0.77–0.87) | < 0.001 | 1.01 (0.92–1.11) | 0.827 |
| MMSE score | 0.79 (0.73–0.86) | < 0.001 | 0.86 (0.78–0.95) | 0.002 |
| Depression | 7.04 (4.42–11.23) | < 0.001 | 4.36 (2.56– 7.43) | < 0.001 |
| Polypharmacy | 1.41 (0.98–2.03) | 0.063 | 1.11 (0.69–1.78) | 0.657 |
DM diabetes mellitus, BMI body mass index, CVD cardiovascular disease, GFR glomerular filtration rate, MMSE mini mental state examination, BADL basic activities of daily living, IADL instrumental activities of daily living
Significant p values are in bold
In patients with T2DM, univariate associations were significant between undernutrition and female gender, lower education, CVD, lower scores on MMSE and BADL tests, and depressive symptoms (Table 4). Multivariable logistic regression analysis showed that, after adjustment for covariates, lower scores on the Barthel Index, depressive symptoms, and the use of multiple antihyperglycemic drugs were independently associated with undernutrition. Unlike the total sample, BMI < 25 was not associated with undernutrition in patients with T2DM. Also, there were no independent associations between undernutrition and insulin use, diabetes overtreatment or diabetes undertreatment in patients with T2DM.
Table 4.
Multivariable logistic regression (T2DM group)
| Predictor variable | Univariate | Multivariate | ||
|---|---|---|---|---|
| OR (95% CI) | p | OR (95% CI) | p | |
| Age | 0.99 (0.94–1.03) | 0.545 | – | |
| Gender | 3.05 (1.53–6.07) | 0.002 | 2.18 (0.89–5.33) | 0.087 |
| Lower education (< 8 years) | 1.92 (1.06–3.47) | 0.030 | 1.07 (0.48–2.41) | 0.871 |
| BMI < 25 | 2.04 (0.85–4.86) | 0.110 | 2.65 (0.85–8.29) | 0.094 |
| Smoking | 0.88 (0.49–1.61) | 0.682 | – | |
| Hypertension | 1.00 (0.48–2.06) | 0.989 | – | |
| Statin use | 1.47 (0.84–2.58) | 0.180 | 1.70 (0.85–3.42) | 0.134 |
| CVD | 1.92 (1.09–3.37) | 0.024 | 1.27 (0.62–2.61) | 0.516 |
| GFR < 60 ml/min | 1.23 (0.70–2.16) | 0.463 | – | |
| Anemia | 1.78 (0.97–3.23) | 0.062 | 2.21 (0.98–4.96) | 0.055 |
| Vitamin B12 insufficiency | 0.88 (0.50–1.56) | 0.664 | – | |
| Folate insufficiency | 0.73 (0.24–2.18) | 0.570 | – | |
| Vitamin D3 insufficiency | 1.12 (0.52–2.38) | 0.776 | – | |
| Multimorbidity | 1.87 (0.86–4.08) | 0.116 | 0.74 (0.27–2.01) | 0.551 |
| BADL score | 0.92 (0.89–0.95) | < 0.001 | 0.93 (0.88–0.98) | 0.007 |
| IADL score | 0.84 (0.78–0.91) | < 0.001 | 1.06 (0.93–1.21) | 0.375 |
| MMSE score | 0.79 (0.70–0.89) | < 0.001 | 0.87 (0.75–1.02) | 0.088 |
| Depression | 4.57 (2.42–8.62) | < 0.001 | 3.66 (1.72–7.82) | 0.001 |
| Polypharmacy | 0.94 (0.51–1.74) | 0.854 | – | |
| Length of diabetes | 1.11 (0.64–1.94) | 0.710 | – | |
| Multiple antihyperglycemic use | 2.48 (1.31–4.68) | 0.005 | 2.40 (1.06–5.41) | 0.035 |
| Insulin-based treatment | 1.49 (0.78–2.84) | 0.226 | 0.89 (0.37–2.11) | 0.786 |
BMI body mass index, CVD cardiovascular disease, GFR glomerular filtration rate, MMSE mini mental state examination, BADL basic activities of daily living, IADL instrumental activities of daily living
Significant p values are in bold
Discussion
In this study of community-dwelling older adults, we found that a diagnosis of T2DM was associated with increased prevalence of undernutrition compared with matched controls without DM. However, after controlling for confounders, T2DM was not independently associated with undernutrition, but the presence of a lower BMI, poor cognition, reduced functional performance, depressive symptoms, and taking multiple antihyperglycemic drugs determined the increased risk in these patients. Our findings also indicated that there were more comorbidities, mostly age related, in patients with T2DM having undernutrition whose glycometabolic state was also unhealthy (i.e., higher HbA1c, higher FPG, BMI around 30, more drug use, more undertreatment) (Table 2). To the best of our knowledge, we are the first to report this kind of a relationship between T2DM, undernutrition, disease-specific medications, and geriatric conditions. The study indicates that, in the presence of some age- and disease-related factors, older adults with T2DM may suffer from undernutrition more than their counterparts without DM.
We used the MNA-SF to define nutritional status [30] because of ease of application and usefulness in both clinical practice and research settings [31, 32]. Because the MNA includes functional, psychologic, and cognitive parameters, it was proposed to be a more appropriate tool for geriatric individuals to assess malnutrition [33]. Moreover, a lower MNA score can predict functional dependence, suggesting a further role for its clinical usefulness in the care of older adults [34].
The frequency of undernutrition may be higher in hospitalized patients with DM, especially in individuals having multiple comorbidities [35]. However, less is known about community-dwelling older adults. An earlier study with 35 older adults with T2DM and 35 matched control subjects evaluated the frequency of undernutrition by the MNA full form in a case-control design [36]. The patient group scored worse on the MNA, and most of them were in the at-risk category. There were also simple correlations between the scores on the MNA and ADLs tests, but the authors were not able to assess potential associates of poor nutrition because of the small sample size. Our findings are mainly in agreement with these findings, but we also found that a lower score on the Barthel Index was independently associated with undernutrition in both the diabetes group and the overall sample.
Although patients with DM may need to use more drugs [37], there were no associations between polypharmacy and undernutrition in this study. Among older adults, even polypharmacy (when defined as taking ≥ 10 drugs) was not consistently associated with malnutrition in either gender in a previous meta-analysis [38]. However, in the present study, the use of two or more antihyperglycemic drugs was recorded twice more in patients with T2DM having undernutrition, and this variable was independently associated with undernutrition. Moreover, the length of diabetes duration correlated positively with the number of antihyperglycemic drugs. This finding is in agreement with an earlier study that showed that most patients needed more than one antihyperglycemic drug at 9 years [39]. While the requirement of more drugs to treat DM may indicate a more complicated disease, insulin-based treatments, another marker of disease severity, did not significantly modulate undernutrition in our study. Similarly, over- or undertreatment showed no influence on nutritional status.
Previous studies have raised concerns about the safety of antihyperglycemic combination therapies in relation to diabetes-related outcomes such as hypoglycemia [40], cardiovascular events and mortality [41], and microvascular complications [42]. However, recent studies have also focused on some less-known safety issues related to multiple drug use, including dementia [43], fracture risk [44], and community-acquired pneumonia [45]. Our findings suggest that undernutrition is another condition that can be found more frequently in older adults with T2DM requiring multiple antihyperglycemics.
Compared with people without DM, BADL and IADL limitations are generally more common in patients with DM [46]. Association of nutrition with BADL capability in our study was previously reported in institutionalized older adults [47]. At present, BADL dependency seems to be a significant risk for undernutrition in subjects with or without DM. Unlike BADLs, we observed no association of the scores on IADLs test with the nutritional status in either the total sample or the T2DM group. However, in a study conducted using a clinical database, IADL but not BADL dependency was a predictor of undernutrition among community-dwelling older adults [48]. Nevertheless, that study defined BADL or ADL dependency arbitrarily through patient interviews without referring to specific assessment tools. Because IADL includes more complex tasks compared with BADL, the amount of impairment was probably not severe enough to influence the nutritional status of our community-dwelling participants.
Depressive symptoms, a must-have confounder in clinical nutrition research, were consistently associated with undernutrition in the present study in both the overall sample and the T2DM group. Our results confirmed the well-known association of undernutrition and depression in the community setting [48]. Moreover, the National Health and Nutrition Examination Survey cohort also identified the symptoms of depression among the causative factors for weight loss even in the adults < 65 years of age [49]. Increased rates of undernutrition in patients with T2DM having depressive symptoms in our study emphasize the importance of regular screening of these individuals [5].
Undernutrition may adversely affect functional and cognitive performance in the long term [50]. Cognitive disorders are more common among older adults with DM [51], and these patients have increased odds of having dementia in later years [7, 37]. Although dementia is a well-known cause of nutritional disorders, the association of cognitive decline with undernutrition among older adults without dementia is less clear [52]. We did not enroll patients with dementia, but 69% of our sample had scores < 30 on the MMSE test, indicating not all of our participants had similar cognitive skills. A lower MMSE score was associated with increased likelihood of undernutrition in the whole sample but not in the T2DM group when separately analyzed. On the other hand, patients with T2DM having undernutrition scored significantly lower on the MMSE test than those with normal nutritional status. Furthermore, we observed correlations between the MMSE and MNA-SF scores in both the overall sample and the T2DM group. Thus, our findings suggest the need to explore the adverse effects of poorer cognition on nutritional status among community-dwelling older adults with T2DM.
We would like to point out the strengths of the study, which include the prospective design, extensive data set, collection of nutritional, functional, and cognition data using validated tools, and exclusion of dementia, which causes a particular type of eating disorder. Consequently, data consistency and quality are reflected in the findings of well-known measures in studies with the elderly. Our study also had several limitations, includeing the cross-sectional design, limiting conclusions regarding causality. Second, we were not able to test the association of microvascular complications of T2DM with the nutritional status, but their influences on functional performance cannot be neglected. Third, drug-food interactions and quality of life measures such as income, mobility, pain, oral, and social relationships, which are known to affect eating behavior [9, 10, 53], were also not available in this project. Lastly, the present study did not include food insecurity as a confounder, which is an important but less recognized predictor of undernutrition [54].
Conclusions
We found one-third of community-dwelling older adults with T2DM struggle with undernutrition, which was independently associated with some age- and disease-related factors including functional performance, depressive symptoms, and use of multiple antihyperglycemic drugs. While the prescription of antihyperglycemic drugs have been increasing [55] and there is limited evidence regarding deprescribing of hypoglycemic medicines [56], restricted food intake or poor choices may adversely affect the nutritional status among older adults with T2DM having functional limitations, psychologic disturbances, and multiple antihyperglycemic drug use.
Acknowledgements
We thank the participants of the study.
Funding
No funding or sponsorship was received for this study or publication of this article.
Authorship
All named authors meet the International Committee of Medical Journal Editors (ICMJE) criteria for authorship for this article, take responsibility for the integrity of the work as a whole, and have given their approval for this version to be published.
Authorship Contributions
Ilker Tasci and Umut Safer designed the study and developed the methodology; Ilker Tasci, Umut Safer and Mehmet Ilkin Naharci collected the data; Ilker Tasci and Mehmet Ilkin Naharci performed the analysis; Ilker Tasci wrote the manuscript; Ilker Tasci, Umut Safer and Mehmet Ilkin Naharci drafted and approved the final manuscript.
Disclosures
All three authors (Ilker Tasci, Umut Safer and Mehmet Ilkin Naharci) have no potential conflicts of interest concerning the research, authorship, and/or publication of this article to disclose.
Compliance with Ethics Guidelines
The Institutional Review Board of Gulhane School of Medicine, Ankara, Turkey, approved the study. All procedures performed in studies involving human participants were also in accordance with the ethical standards of the institutional research committee (Gulhane School Medicine, Ankara, Turkey) and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. Informed consent was obtained from all individual participants included in the study.
Data Availability
The data sets analyzed during the current study are available from the corresponding author on reasonable request.
Open Access
This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Footnotes
Enhanced Digital Features
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data sets analyzed during the current study are available from the corresponding author on reasonable request.