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INTRODUCTION
Dementia is a disease that causes serious and long-term gradual decreases in brain function. In 2015, dementia affected 46.8 million people worldwide, which was associated with poor quality of life and mortality as well as increased socioeconomic costs [1]. The prevalence of dementia is expected to nearly double every 20 years, especially in East Asia, where dementia among people aged 60 or older is expected to show a proportional increase of 193% from 2015 to 2050 [1]. South Korea has the fastest aging rate among developing countries, and the incidence and prevalence of dementia almost double with every added 5 years of age until age 85 to 89 years [2,3]. This age-dependent increase in prevalence is seen in both Alzheimer’ disease and vascular dementia. In addition, disability-adjusted life years due to dementia in 2050 in Korea are expected to be 3.0 times higher than in 2010 [3].
Previous studies have shown that cognitive performance declines in people with metabolic syndrome (MetS), particularly with high blood glucose levels, which is associated with increased inflammation [4,5]. Both diabetes and impaired glucose tolerance status are independent risk factors for Alzheimer’s disease and vascular dementia [6,7]. Large epidemiological studies have demonstrated a consistent association between midlife hypertension and late-life cognitive decline or dementia and have shown that active blood pressure (BP) control reduces the risk of dementia [8–10]. Associations between total cholesterol levels and the risk of dementia are controversial, and one study even showed that high total cholesterol level late in life is associated with a reduced risk of dementia [11–14]. While some studies have shown that dyslipidemia increases the risk of dementia, other studies suggest a weak or no association between low-density lipoprotein cholesterol (LDL-C) or high-density lipoprotein cholesterol (HDL-C) levels and the risk of Alzheimer’s disease or vascular dementia [15,16]. Obesity, represented by high body mass index (BMI), is known to be a risk factor for dementia, including Alzheimer’s disease, in mid-life but is still controversial in late life [17–21].
The status of MetS and its components changes over time, and modification of these risk factors may affect various health outcomes, including dementia [22–25]. Because most of the previous studies did not consider cumulative effects of metabolic risk factors on the risk of dementia, the relationship between the extent and duration of exposure to risks and incident dementia is still unknown. In this study, we used a large-scale, nationwide, population-based database with consecutive health examinations to investigate the associations of cumulative exposure to MetS and its components with the risk of dementia.
METHODS
Data source and study population
The Korean National Health Insurance Service (NHIS) is a single, government-managed insurer, to which all residents in Korea subscribe. Because it has adopted a fee-for-service system to pay healthcare providers, the NHIS obtains a complete set of information that represents the entire Korean population [26,27]. The database provides comprehensive information, including an eligibility database (e.g., age, sex, socioeconomic variables, region, and type of eligibility), a medical treatment database (based on the accounts submitted by medical service providers for medical expenses), a health examination database, and a medical care institution database (types of medical care institutions, location, equipment, and number of physicians). NHIS beneficiaries are encouraged to undergo standardized health examinations at least every 2 years.
In total, 1,548,192 people (aged ≥45 years) received four consecutive annual health examinations either from 2009 to 2012 or from 2010 to 2013. Those with missing variables (n=54,287) or with a previous diagnosis of dementia (n=1,129) were excluded; therefore, 1,492,776 people were included in this analysis. This study was approved by the Institutional Review Board of Yeouido St. Mary’s Hospital, The Catholic University of Korea (No. SC19ZASE0142). Informed consent was waived because only anonymous and deidentified information was used.
Measurements and definitions
BMI was calculated as weight in kilograms divided by the square of the height in meters. Information on smoking and alcohol consumption history (heavy alcohol consumption, ≥30 g/day) was obtained from the questionnaire. Regular exercise was defined as performing more than 20 minutes of strenuous physical activity ≥3/week or more than 30 minutes of moderate physical activity ≥5/week. Household income level was dichotomized at the lower 25%. Blood samples were drawn after overnight fasting for the measurement of serum glucose, total cholesterol, triglyceride, HDL-C, and LDL-C levels. Estimated glomerular filtration rate was calculated using the modification of diet in renal disease formula: 186×(serum creatinine)−1.154×age−0.203×0.742 (if female). Hospitals performing health check-ups were certified by the NHIS and received regular quality control. Diabetes mellitus was diagnosed as at least one claim per year with the International Classification of Disease, 10th Revision (ICD-10) codes E10–14 and a prescription of anti-diabetic medication or fasting glucose level ≥126 mg/dL. Hypertension was diagnosed as at least one claim per year with ICD-10 codes I10 or I11 and the prescription of anti-hypertensive agents or systolic/diastolic BP ≥140/90 mm Hg. Dyslipidemia was diagnosed as at least one claim per year with ICD-10 code E78 and the prescription of a lipid-lowering agent or a total cholesterol level ≥240 mg/dL. History of ischemic heart disease (I20–I25), stroke (I63–I64), depression (F32–F33), and Parkinson’s disease (G00–G22) was defined using ICD-10 codes.
Scoring of cumulative exposure to MetS
MetS was defined according to the revised criteria of the National Cholesterol Education Program–Adult Treatment Panel III. MetS was diagnosed if at least three of the following conditions were met: (1) waist circumference (WC) ≥90 cm for men or ≥85 cm for women (using modified WC criteria for abdominal obesity of the Korean Society for the Study of Obesity) [28]; (2) serum triglyceride level ≥150 mg/dL or use of lipid-lowering medication; (3) HDL-C level <40 mg/dL for men or <50 mg/dL for women, or use of lipid-lowering medication; (4) systolic BP ≥130 mm Hg, diastolic BP ≥85 mm Hg, or use of an anti-hypertensive drug; and (5) fasting blood glucose level ≥100 mg/dL or use of anti-diabetic medication.
Two exposure-weighted scores were calculated for the estimation of cumulative effects of exposure to MetS and its components. First, the frequency of MetS diagnoses over 4 years was counted (MetS exposure score, range 0 to 4). Subjects who were free from MetS during the four health examinations would have a MetS exposure score of 0, while those who were diagnosed with MetS at every health examination would have a score of 4. The same scoring system was also used to calculate the frequency of each MetS component diagnosed. Second, we added all of the individual MetS components diagnosed during the 4 years (MetS component exposure score, range 0 to 20).
Study outcomes and follow-up
The outcome of this study was newly diagnosed all-cause dementia, Alzheimer’s disease, and vascular dementia. The definition of these diseases was based on the recording of diagnosis statements by ICD-10 codes (F00 or G30 for Alzheimer’s disease; F01 for vascular dementia; and F02, F03, or G31 for dementia of other causes) and the prescription of medications for dementia (rivastigmine, galantamine, memantine, or donepezil) [29]. In Korea, evidence of cognitive dysfunction (Mini-Mental State Examination [MMSE] ≤26 and either Clinical Dementia Rating ≥1 or Global Deterioration Scale ≥3) must be documented for filing expense claims for drug prescriptions. When more than 2 codes for dementia were recorded, we followed the principal diagnosis. The study population was followed to the date of incident dementia or until 31st December 2017, whichever came first. The mean follow-up period was 5.2±0.6 years.
Statistical analysis
Baseline characteristics are presented as the mean±standard deviation, median (interquartile range), or number (%). Participants were classified into five and 21 groups according to their MetS and MetS component exposure scores, respectively. The incidence rate of primary outcomes was calculated by dividing the number of events by the total follow-up period (person-years). The Cox proportional-hazards model was used to estimate hazard ratio (HR) and 95% confidence interval (CI) values for dementia according to the exposure-weighted scores for MetS. The proportional-hazards assumption was assessed using the Schoenfeld residuals test, with a logarithm of the cumulative hazard functions based on Kaplan-Meier estimates for the cumulative number of MetS and its components. Over time, there was no significant departure from proportionality in the hazards. Possible confounding factors were adjusted using multivariable-adjusted proportional-hazards models [30]. Model 1 was adjusted for age, sex, alcohol drinking, smoking, regular exercise, income status, systolic BP, WC, and fasting glucose, triglyceride, and HDL-C levels. Model 2 was further adjusted for previous history of ischemic heart disease, stroke, depression, and Parkinson’s disease. To minimize the possible effect of reverse causality, sensitivity analysis was performed by excluding people with events occurring within the first 2 years of follow-up. Because people undergoing treatment for diabetes mellitus, hypertension, or dyslipidemia may have different risks for dementia, we also performed a sensitivity analysis by excluding these subjects. A subgroup analysis was performed to compare subjects with improved (decreased MetS component number) and nonimproved (increased or same MetS component number) MetS status from the first year to the last year health examination. All statistical analyses were performed using SAS software version 9.4 (SAS Institute, Cary, NC, USA). A P value <0.05 was considered statistically significant.
RESULTS
Study subject characteristics
The mean age and BMI of the study subjects were 53.1±6.6 years and 24.0±2.9 kg/m2, respectively. Overall, 11.1% of the study population had diabetes, 31.0% had hypertension, and 23.6% had dyslipidemia. Baseline characteristics according to the MetS exposure score during the 4 years of the study are presented in Table 1. In total, 789,674 (52.9%) subjects had never been diagnosed with MetS, whereas 171,176 (11.5%) had persistent MetS. Therefore, 531,926 (35.6%) subjects had changes in their MetS status during the 4 years. Subjects with higher MetS exposure score were older, more likely to be male, more obese, and had a higher prevalence of diabetes, hypertension, dyslipidemia, ischemic heart disease, stroke, and depression compared with people with lower scores. Current smoking, heavy alcohol drinking, and lower household income was also associated with a higher frequency of MetS diagnosis. During the follow-up, there were 7,341 cases (0.5%) of incident dementia. The incidence rate of all-cause dementia was approximately ten times higher in subjects older than 65 years (8.43 per 1,000 person-years in the group with a MetS exposure score of 4) compared with those younger than 65 years (0.81 per 1,000 person-years in the group with a MetS exposure score of 4). Subjects who developed dementia had lower BMI but higher WC, and had a higher prevalence of diabetes, hypertension, dyslipidemia, ischemic heart disease, stroke, depression, and Parkinson’s disease, and were more likely to have lower income (Supplemental Table S1).
Table 1
Baseline Characteristics of Study Subjects According to the Metabolic Syndrome Exposure Score during the 4 Years
MetS exposure score and the risk of dementia
A higher incidence rate and HR (95% CI) of all-cause dementia, Alzheimer’s disease, and vascular dementia was observed in people with a higher MetS exposure score in a dose-dependent manner. The incidence rate of all-cause dementia was 0.69 (per 1,000 person-years) in the group with a MetS exposure score of 0, which increased to 1.54 in the group with a MetS exposure score of 4. After adjusting for age, sex, alcohol drinking, smoking, regular exercise, income status, systolic BP, WC, fasting glucose, triglyceride, and HDL-C levels, the HRs of all-cause dementia, Alzheimer’s disease, and vascular dementia in the group with a MetS exposure score of 4 were 1.35 (95% CI, 1.25 to 1.47), 1.30 (95% CI, 1.18 to 1.43), and 1.50 (95% CI, 1.24 to 1.80), respectively. Of note, people having been diagnosed with MetS once in 4 years also had significantly increased risk of all-cause dementia (by 15%) and Alzheimer’s disease (by 13%). Analysis of the cumulative effects of individual MetS components also showed a higher risk of all-cause dementia and Alzheimer’s disease in subjects with more exposure to each MetS component (Table 2). This trend was maintained after further adjusting for ischemic heart disease, stroke, depression, and Parkinson’s disease, which are known to increase the risk of dementia. The HRs of all-cause dementia, Alzheimer’s disease, and vascular dementia in the group with a MetS exposure score of 4 were 1.23 (95% CI, 1.14 to 1.34), 1.19 (95% CI, 1.08 to 1.31), and 1.36 (95% CI, 1.13 to 1.64), respectively (Supplemental Table S2).
Table 2
HR and 95% CI for Dementia According to the Cumulative Number of Individual Metabolic Syndrome Components
| Variable | All-cause dementia | Alzheimer’s disease | Vascular dementia | ||||||
|---|---|---|---|---|---|---|---|---|---|
|
|
|
|
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| No. of events | IRa | HR (95% CI) | No. of events | IRa | HR (95% CI) | No. of events | IRa | HR (95% CI) | |
| BP | |||||||||
| 0 (n=402,145) | 973 | 0.47 | 1 (reference) | 735 | 0.35 | 1 (reference) | 137 | 0.07 | 1 (reference) |
| 1 (n=261,172) | 925 | 0.68 | 1.12 (1.02–1.23) | 669 | 0.49 | 1.07 (0.96–1.19) | 158 | 0.12 | 1.36 (1.08–1.71) |
| 2 (n=211,342) | 958 | 0.88 | 1.16 (1.06–1.28) | 668 | 0.61 | 1.06 (0.95–1.19) | 174 | 0.16 | 1.50 (1.19–1.90) |
| 3 (n=194,457) | 1,135 | 1.13 | 1.26 (1.15–1.39) | 797 | 0.79 | 1.16 (1.04–1.30) | 215 | 0.21 | 1.70 (1.35–2.14) |
| 4 (n=423,660) | 3,350 | 1.53 | 1.32 (1.22–1.44) | 2,263 | 1.03 | 1.15 (1.04–1.27) | 688 | 0.31 | 2.01 (1.63–2.48) |
| P for trend | <0.0001 | 0.0027 | <0.0001 | ||||||
|
|
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| WC | |||||||||
| 0 (n=1,023,438) | 4,337 | 0.82 | 1 (reference) | 3,054 | 0.58 | 1 (reference) | 806 | 0.15 | 1 (reference) |
| 1 (n=168,082) | 970 | 1.12 | 1.10 (1.02–1.19) | 671 | 0.77 | 1.06 (0.97–1.17) | 169 | 0.19 | 1.05 (0.88–1.26) |
| 2 (n=98,996) | 677 | 1.33 | 1.25 (1.14–1.37) | 489 | 0.96 | 1.25 (1.12–1.39) | 120 | 0.24 | 1.19 (0.96–1.48) |
| 3 (n=85,774) | 575 | 1.30 | 1.19 (1.08–1.32) | 391 | 0.88 | 1.13 (1.00–1.28) | 117 | 0.26 | 1.29 (1.02–1.62) |
| 4 (n=116,486) | 782 | 1.30 | 1.22 (1.10–1.36) | 527 | 0.88 | 1.16 (1.02–1.31) | 160 | 0.27 | 1.28 (1.00–1.62) |
| P for trend | <0.0001 | 0.0042 | 0.0147 | ||||||
|
|
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| Fasting glucose | |||||||||
| 0 (n=536,419) | 1,940 | 0.70 | 1 (reference) | 1,354 | 0.49 | 1 (reference) | 369 | 0.13 | 1 (reference) |
| 1 (n=337,939) | 1,501 | 0.86 | 1.05 (0.98–1.12) | 1,065 | 0.61 | 1.08 (0.99–1.17) | 255 | 0.15 | 0.90 (0.77–1.06) |
| 2 (n=224,782) | 1,101 | 0.95 | 1.06 (0.98–1.14) | 757 | 0.65 | 1.07 (0.98–1.17) | 221 | 0.19 | 1.04 (0.87–1.23) |
| 3 (n=164,370) | 957 | 1.13 | 1.13 (1.04–1.23) | 687 | 0.81 | 1.21 (1.09–1.33) | 172 | 0.20 | 0.96 (0.80–1.16) |
| 4 (n=229,266) | 1,842 | 1.56 | 1.28 (1.18–1.38) | 1,269 | 1.07 | 1.33 (1.21–1.46) | 355 | 0.30 | 1.11 (0.93–1.33) |
| P for trend | <0.0001 | <0.0001 | 0.2336 | ||||||
|
|
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| Triglycerides | |||||||||
| 0 (n=594,746) | 2,612 | 0.85 | 1 (reference) | 1,857 | 0.60 | 1 (reference) | 467 | 0.15 | 1 (reference) |
| 1 (n=258,344) | 1,369 | 1.02 | 1.12 (1.05–1.20) | 963 | 0.72 | 1.12 (1.04–1.22) | 238 | 0.18 | 1.03 (0.87–1.21) |
| 2 (n=191,878) | 1,037 | 1.04 | 1.12 (1.03–1.21) | 715 | 0.72 | 1.10 (1.00–1.21) | 208 | 0.21 | 1.14 (0.96–1.37) |
| 3 (n=178,767) | 929 | 1.00 | 1.13 (1.04–1.23) | 643 | 0.69 | 1.14 (1.03–1.26) | 170 | 0.18 | 1.00 (0.82–1.22) |
| 4 (n=269,041) | 1,394 | 1.00 | 1.17 (1.08–1.27) | 954 | 0.69 | 1.17 (1.06–1.29) | 289 | 0.21 | 1.13 (0.94–1.36) |
| P for trend | 0.0002 | 0.0026 | 0.2711 | ||||||
|
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| HDL-C | |||||||||
| 0 (n=854,394) | 3,584 | 0.81 | 1 (reference) | 2,475 | 0.56 | 1 (reference) | 675 | 0.15 | 1 (reference) |
| 1 (n=233,143) | 1,256 | 1.04 | 1.14 (1.07–1.22) | 908 | 0.75 | 1.17 (1.08–1.27) | 226 | 0.19 | 1.13 (0.97–1.32) |
| 2 (n=140,107) | 830 | 1.14 | 1.13 (1.05–1.23) | 587 | 0.81 | 1.12 (1.02–1.23) | 152 | 0.21 | 1.19 (0.99–1.43) |
| 3 (n=112,765) | 656 | 1.12 | 1.17 (1.07–1.28) | 452 | 0.77 | 1.13 (1.02–1.26) | 129 | 0.22 | 1.31 (1.07–1.60) |
| 4 (n=152,367) | 1,015 | 1.30 | 1.29 (1.19–1.39) | 710 | 0.91 | 1.26 (1.15–1.38) | 190 | 0.24 | 1.35 (1.14–1.61) |
| P for trend | <0.0001 | <0.0001 | 0.0002 | ||||||
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| MetS | |||||||||
| 0 (n=789,674) | 2,835 | 0.69 | 1 (reference) | 2,018 | 0.49 | 1 (reference) | 496 | 0.12 | 1 (reference) |
| 1 (n=245,219) | 1,275 | 1.00 | 1.15 (1.07–1.23) | 896 | 0.71 | 1.13 (1.04–1.23) | 233 | 0.18 | 1.18 (0.99–1.39) |
| 2 (n=157,966) | 966 | 1.18 | 1.18 (1.09–1.28) | 659 | 0.81 | 1.12 (1.02–1.23) | 194 | 0.24 | 1.35 (1.12–1.62) |
| 3 (n=128,741) | 910 | 1.37 | 1.30 (1.20–1.42) | 622 | 0.93 | 1.24 (1.12–1.38) | 179 | 0.27 | 1.43 (1.18–1.74) |
| 4 (n=171,176) | 1,355 | 1.54 | 1.35 (1.25–1.47) | 937 | 1.06 | 1.30 (1.18–1.43) | 270 | 0.31 | 1.50 (1.24–1.80) |
| P for trend | <0.0001 | <0.0001 | <0.0001 | ||||||
Adjusted for age, sex, alcohol drinking, smoking, regular exercise, income status, systolic BP, WC, fasting glucose, triglyceride, and HDL-C levels (model 1).
MetS component exposure score and the risk of dementia
Next, the effect of cumulative exposure to MetS components during the 4 years was examined in composite by adopting a MetS component exposure score ranging from 0 to 20. Only 5.6% (n=83,680) of subjects remained completely metabolically healthy with a MetS component exposure score of 0 (Supplemental Table S3). The incidence rate of all-cause dementia was 0.26 (per 1,000 person-years) in the group with a MetS component exposure score of 0 and steadily increased to 1.99 in the group with a MetS component exposure score of 20. Similar findings were noted for Alzheimer’s disease and vascular dementia. There was a significant trend in the stepwise increase of risk for all-cause dementia, Alzheimer’s disease and vascular dementia in relation to the MetS component exposure score (each P for trend <0.0001). The HRs of all-cause dementia, Alzheimer’s disease, and vascular dementia in the group with a MetS component exposure score of 20 were 3.09 (95% CI, 2.20 to 4.32), 2,73 (95% CI, 1.82 to 4.09), and 2.77 (95% CI, 1.21 to 6.34), respectively. This trend was maintained after further adjusting for diseases that are known to increase the risk of dementia. Importantly, subjects fulfilling only one MetS component out of 20 already had a 39% increased risk of all-cause dementia and a 43% increased risk of Alzheimer’s disease (Fig. 1, Supplemental Table S3).
Fig. 1
Hazard ratios (HR) (95% confidence intervals [CIs]) and incidence rate of (A) all-cause dementia, (B) Alzheimer’s disease, and (C) vascular dementia according to the metabolic syndrome component exposure score. The data were adjusted for age, sex, alcohol drinking, smoking, regular exercise, income status, systolic blood pressure, waist circumference, fasting glucose, triglyceride, and high-density lipoprotein cholesterol levels.
Sensitivity and subgroup analyses
To account for the possibility of reverse causation, sensitivity analysis was performed by excluding subjects with the occurrence of dementia within 2 years of follow-up. Similar to the original analysis, there was a significant trend in the stepwise increase of risk for all-cause dementia, Alzheimer’s disease and vascular dementia in relation to the MetS component exposure score (each P for trend <0.0001) (Table 3). Another sensitivity analysis excluding people undergoing treatment for diabetes mellitus, hypertension, and dyslipidemia also showed consistent trends with even higher HR values (Table 4). When subjects were divided into subgroups according to changes in the number of MetS components (increased or same vs. decreased) between the first health examination and the last examination, there was a significant trend in the stepwise increase of risk for all-cause dementia, Alzheimer’s disease and vascular dementia in relation to the MetS component exposure score in both groups (Supplemental Table S4).
Table 3
HR and 95% CI for Dementia According to the Metabolic Syndrome Component Exposure Score (Sensitivity Analysis Excluding Subjects with the Occurrence of Outcomes within 2 Years of Follow-up)
| All-cause dementia | Alzheimer’s disease | Vascular dementia | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
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| No. of events | IRa | Model 1 | Model 2 | No. of events | IRa | Model 1 | Model 2 | No. of events | IRa | Model 1 | Model 2 | |
| 0 (n=83,525) | 81 | 0.30 | 1 (reference) | 1 (reference) | 61 | 0.23 | 1 (reference) | 1 (reference) | 13 | 0.05 | 1 (reference) | 1 (reference) |
|
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| 1 (n=105,953) | 178 | 0.53 | 1.46 (1.13–1.90) | 1.43 (1.10–1.86) | 143 | 0.42 | 1.55 (1.15–2.09) | 1.51 (1.12–2.04) | 24 | 0.07 | 1.23 (0.63–2.42) | 1.23 (0.63–2.42) |
|
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| 2 (n=112,861) | 261 | 0.72 | 1.76 (1.37–2.26) | 1.72 (1.34–2.21) | 194 | 0.54 | 1.72 (1.29–2.30) | 1.68 (1.26–2.24) | 38 | 0.11 | 1.59 (0.85–2.99) | 1.58 (0.84–2.98) |
|
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| 3 (n=116,694) | 294 | 0.79 | 1.73 (1.35–2.21) | 1.70 (1.33–2.18) | 224 | 0.60 | 1.73 (1.30–2.31) | 1.70 (1.28–2.27) | 39 | 0.10 | 1.41 (0.75–2.65) | 1.40 (0.74–2.63) |
|
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| 4 (n=131,793) | 384 | 0.91 | 1.73 (1.36–2.20) | 1.69 (1.33–2.16) | 259 | 0.61 | 1.53 (1.16–2.03) | 1.50 (1.13–1.98) | 87 | 0.21 | 2.40 (1.33–4.33) | 2.37 (1.32–4.28) |
|
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| 5 (n=125,093) | 406 | 1.01 | 1.78 (1.40–2.27) | 1.73 (1.36–2.20) | 307 | 0.77 | 1.77 (1.34–2.34) | 1.71 (1.29–2.26) | 64 | 0.16 | 1.72 (0.94–3.14) | 1.69 (0.92–3.09) |
|
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| 6 (n=118,198) | 447 | 1.18 | 1.95 (1.53–2.48) | 1.88 (1.48–2.39) | 320 | 0.85 | 1.83 (1.39–2.43) | 1.76 (1.33–2.33) | 81 | 0.21 | 2.15 (1.18–3.90) | 2.10 (1.16–3.82) |
|
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| 7 (n=108,827) | 445 | 1.28 | 2.02 (1.59–2.58) | 1.94 (1.52–2.48) | 317 | 0.91 | 1.90 (1.43–2.51) | 1.81 (1.37–2.40) | 86 | 0.25 | 2.35 (1.30–4.28) | 2.29 (1.26–4.16) |
|
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| 8 (n=106,740) | 459 | 1.34 | 2.08 (1.63–2.65) | 1.98 (1.55–2.53) | 335 | 0.98 | 2.01 (1.51–2.66) | 1.90 (1.44–2.52) | 84 | 0.25 | 2.25 (1.24–4.11) | 2.19 (1.20–3.99) |
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| 9 (n=90,220) | 432 | 1.50 | 2.28 (1.78–2.91) | 2.14 (1.67–2.74) | 315 | 1.09 | 2.19 (1.65–2.91) | 2.05 (1.54–2.72) | 77 | 0.27 | 2.40 (1.31–4.41) | 2.31 (1.26–4.25) |
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| 10 (n=78,866) | 379 | 1.50 | 2.22 (1.73–2.85) | 2.08 (1.62–2.67) | 268 | 1.06 | 2.06 (1.54–2.75) | 1.92 (1.44–2.57) | 81 | 0.32 | 2.81 (1.53–5.17) | 2.70 (1.47–4.97) |
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| 11 (n=66,725) | 355 | 1.67 | 2.44 (1.89–3.14) | 2.29 (1.78–2.95) | 242 | 1.14 | 2.20 (1.64–2.95) | 2.05 (1.53–2.76) | 75 | 0.35 | 3.01 (1.62–5.57) | 2.87 (1.55–5.32) |
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| 12 (n=62,647) | 349 | 1.75 | 2.51 (1.95–3.23) | 2.33 (1.80–3.00) | 235 | 1.18 | 2.23 (1.66–3.00) | 2.06 (1.53–2.76) | 79 | 0.40 | 3.31 (1.79–6.13) | 3.15 (1.70–5.82) |
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| 13 (n=48,298) | 262 | 1.71 | 2.39 (1.84–3.10) | 2.17 (1.67–2.82) | 196 | 1.28 | 2.36 (1.74–3.19) | 2.12 (1.56–2.87) | 42 | 0.27 | 2.24 (1.17–4.29) | 2.11 (1.10–4.04) |
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| 14 (n=38,443) | 232 | 1.90 | 2.61 (2.00–3.40) | 2.39 (1.83–3.12) | 164 | 1.34 | 2.43 (1.78–3.32) | 2.22 (1.63–3.03) | 42 | 0.34 | 2.74 (1.42–5.27) | 2.57 (1.34–4.95) |
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| 15 (n=29,202) | 173 | 1.87 | 2.57 (1.95–3.40) | 2.35 (1.78–3.11) | 117 | 1.26 | 2.30 (1.66–3.19) | 2.08 (1.50–2.89) | 43 | 0.46 | 3.68 (1.91–7.09) | 3.44 (1.78–6.64) |
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| 16 (n=26,305) | 177 | 2.13 | 2.68 (2.03–3.54) | 2.39 (1.81–3.15) | 129 | 1.56 | 2.59 (1.87–3.57) | 2.27 (1.65–3.14) | 28 | 0.34 | 2.45 (1.23–4.88) | 2.26 (1.13–4.51) |
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| 17 (n=14,421) | 94 | 2.07 | 2.64 (1.93–3.61) | 2.36 (1.73–3.23) | 62 | 1.36 | 2.30 (1.59–3.34) | 2.05 (1.41–2.97) | 26 | 0.57 | 4.18 (2.06–8.46) | 3.85 (1.90–7.81) |
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| 18 (n=9,535) | 67 | 2.23 | 2.89 (2.06–4.06) | 2.64 (1.88–3.71) | 52 | 1.73 | 2.98 (2.01–4.39) | 2.71 (1.83–4.00) | 9 | 0.30 | 2.18 (0.90–5.29) | 2.02 (0.83–4.91) |
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| 19 (n=6,370) | 43 | 2.16 | 2.96 (2.01–4.35) | 2.67 (1.81–3.92) | 25 | 1.26 | 2.30 (1.42–3.73) | 2.06 (1.27–3.34) | 12 | 0.60 | 4.54 (1.99–10.35) | 4.16 (1.82–9.49) |
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| 20 (n=5,409) | 39 | 2.33 | 3.15 (2.11–4.70) | 2.81 (1.88–4.19) | 28 | 1.67 | 3.05 (1.91–4.88) | 2.71 (1.70–4.33) | 4 | 0.24 | 1.72 (0.54–5.45) | 1.56 (0.49–4.95) |
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| P for trend | <0.0001 | <0.0001 | <0.0001 | <0.0001 | <0.0001 | <0.0001 | ||||||
Model 1: adjusted for age, sex, alcohol drinking, smoking, regular exercise, income status, systolic blood pressure, waist circumference, fasting glucose, triglyceride, and high-density lipoprotein cholesterol levels; Model 2: adjusted for model 1+ischemic heart disease, stroke, depression, and Parkinson’s disease.
Table 4
HR and 95% CI for Dementia According to the Metabolic Syndrome Component Exposure Score (Sensitivity Analysis Excluding Subjects on Treatment with Diabetes Mellitus, Hypertension, and Dyslipidemia)
| All-cause dementia | Alzheimer’s disease | Vascular dementia | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
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| No. of events | IRa | Model 1 | Model 2 | No. of events | IRa | Model 1 | Model 2 | No. of events | IRa | Model 1 | Model 2 | |
| 0 (n=81,188) | 100 | 0.24 | 1 (reference) | 1 (reference) | 77 | 0.18 | 1 (reference) | 1 (reference) | 16 | 0.04 | 1 (reference) | 1 (reference) |
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| 1 (n=101,810) | 207 | 0.39 | 1.44 (1.13–1.83) | 1.40 (1.10–1.78) | 161 | 0.31 | 1.44 (1.10–1.89) | 1.39 (1.06–1.83) | 28 | 0.05 | 1.21 (0.65–2.24) | 1.20 (0.65–2.23) |
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| 2 (n=106,262) | 278 | 0.50 | 1.68 (1.34–2.12) | 1.66 (1.32–2.09) | 204 | 0.37 | 1.60 (1.22–2.08) | 1.57 (1.20–2.04) | 39 | 0.07 | 1.44 (0.80–2.59) | 1.44 (0.80–2.58) |
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| 3 (n=106,546) | 283 | 0.51 | 1.61 (1.28–2.03) | 1.59 (1.26–2.01) | 213 | 0.39 | 1.57 (1.20–2.05) | 1.56 (1.19–2.03) | 38 | 0.07 | 1.29 (0.71–2.33) | 1.29 (0.71–2.32) |
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| 4 (n=108,470) | 319 | 0.57 | 1.68 (1.34–2.12) | 1.66 (1.32–2.09) | 215 | 0.38 | 1.48 (1.13–1.93) | 1.46 (1.12–1.90) | 64 | 0.11 | 1.97 (1.13–3.45) | 1.96 (1.12–3.43) |
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| 5 (n=97,087) | 327 | 0.65 | 1.87 (1.48–2.36) | 1.84 (1.46–2.33) | 230 | 0.46 | 1.71 (1.31–2.23) | 1.68 (1.29–2.20) | 63 | 0.13 | 2.09 (1.18–3.68) | 2.07 (1.18–3.65) |
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| 6 (n=85,691) | 272 | 0.61 | 1.79 (1.41–2.28) | 1.76 (1.38–2.23) | 197 | 0.44 | 1.69 (1.28–2.23) | 1.66 (1.26–2.18) | 54 | 0.12 | 2.01 (1.12–3.59) | 1.98 (1.11–3.54) |
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| 7 (n=74,028) | 287 | 0.75 | 2.19 (1.72–2.78) | 2.16 (1.69–2.75) | 205 | 0.53 | 2.03 (1.53–2.68) | 2.00 (1.51–2.64) | 52 | 0.14 | 2.23 (1.23–4.02) | 2.21 (1.23–3.99) |
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| 8 (n=65,645) | 250 | 0.74 | 2.28 (1.78–2.92) | 2.21 (1.73–2.83) | 166 | 0.49 | 1.98 (1.48–2.65) | 1.92 (1.44–2.56) | 49 | 0.14 | 2.44 (1.34–4.44) | 2.40 (1.32–4.36) |
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| 9 (n=52,192) | 202 | 0.75 | 2.35 (1.81–3.04) | 2.28 (1.76–2.96) | 144 | 0.53 | 2.17 (1.61–2.93) | 2.11 (1.56–2.85) | 32 | 0.12 | 2.05 (1.08–3.88) | 2.02 (1.07–3.83) |
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| 10 (n=41,672) | 155 | 0.72 | 2.25 (1.72–2.96) | 2.21 (1.68–2.90) | 108 | 0.50 | 2.03 (1.48–2.79) | 1.99 (1.45–2.73) | 37 | 0.17 | 2.97 (1.58–5.59) | 2.93 (1.56–5.52) |
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| 11 (n=32,399) | 133 | 0.80 | 2.59 (1.95–3.43) | 2.53 (1.91–3.35) | 76 | 0.45 | 1.92 (1.36–2.71) | 1.88 (1.33–2.65) | 41 | 0.25 | 4.30 (2.29–8.09) | 4.23 (2.25–7.96) |
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| 12 (n=25,606) | 92 | 0.70 | 2.35 (1.73–3.18) | 2.24 (1.65–3.04) | 59 | 0.45 | 1.97 (1.37–2.85) | 1.87 (1.29–2.69) | 27 | 0.20 | 3.62 (1.84–7.10) | 3.54 (1.80–6.94) |
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| 13 (n=17,859) | 85 | 0.92 | 3.05 (2.23–4.17) | 2.98 (2.18–4.08) | 58 | 0.63 | 2.71 (1.87–3.93) | 2.66 (1.83–3.85) | 20 | 0.22 | 3.81 (1.86–7.78) | 3.73 (1.83–7.63) |
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| 14 (n=12,383) | 56 | 0.88 | 3.13 (2.20–4.45) | 2.99 (2.11–4.26) | 42 | 0.66 | 3.10 (2.06–4.65) | 2.95 (1.96–4.43) | 10 | 0.16 | 2.86 (1.23–6.65) | 2.78 (1.20–6.47) |
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| 15 (n=8,318) | 39 | 0.91 | 3.19 (2.15–4.74) | 3.11 (2.10–4.61) | 22 | 0.51 | 2.34 (1.42–3.86) | 2.27 (1.38–3.75) | 14 | 0.33 | 5.92 (2.70–12.95) | 5.81 (2.66–12.72) |
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| 16 (n=5,543) | 30 | 1.05 | 3.60 (2.34–5.54) | 3.56 (2.31–5.48) | 19 | 0.67 | 3.00 (1.76–5.09) | 2.97 (1.75–5.05) | 5 | 0.18 | 3.04 (1.06–8.73) | 3.00 (1.05–8.63) |
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| 17 (n=2,784) | 14 | 0.98 | 3.41 (1.91–6.08) | 3.24 (1.81–5.79) | 8 | 0.56 | 2.57 (1.21–5.45) | 2.43 (1.15–5.14) | 5 | 0.35 | 6.13 (2.12–17.74) | 5.97 (2.06–17.28) |
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| 18 (n=1,524) | 10 | 1.27 | 4.36 (2.23–8.51) | 4.35 (2.23–8.49) | 5 | 0.64 | 2.84 (1.13–7.17) | 2.85 (1.13–7.19) | 4 | 0.51 | 8.92 (2.81–28.27) | 8.82 (2.78–27.95) |
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| 19 (n=853) | 4 | 0.91 | 3.51 (1.28–9.67) | 3.37 (1.22–9.26) | 1 | 0.23 | 1.16 (0.16–8.44) | 1.11 (0.15–8.08) | 2 | 0.46 | 8.46 (1.86–38.50) | 8.21 (1.80–37.38) |
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| 20 (n=456) | 5 | 2.16 | 7.98 (3.19–19.96) | 7.38 (2.95–18.48) | 3 | 1.29 | 6.22 (1.92–20.15) | 5.72 (1.76–18.55) | 2 | 0.86 | 16.26(3.54–74.81) | 15.64 (3.39–72.09) |
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| P for trend | <0.0001 | <0.0001 | <0.0001 | <0.0001 | <0.0001 | <0.0001 | ||||||
Model 1: adjusted for age, sex, alcohol drinking, smoking, regular exercise, income status, systolic blood pressure, waist circumference, fasting glucose, triglyceride, and high-density lipoprotein cholesterol levels; Model 2: adjusted for model 1+ischemic heart disease, stroke, depression, and Parkinson’s disease.
DISCUSSION
In this large-scale population-based study including nearly 1.5 million people, we demonstrated a cumulative effect of MetS and its components on the risk of all-cause dementia, Alzheimer’s disease, and vascular dementia. A stepwise increase in the risk of dementia according to the cumulative exposure to metabolic abnormalities was evident, and this was confirmed in sensitivity analyses. Of note, even minimal exposure to MetS components had a significant effect on the risk of dementia.
Previously, numerous studies had shown a link between metabolic abnormalities and dementia. The Honolulu-Asia Aging Study showed that metabolic cardiovascular risk factors composed of BMI, postload glucose, systolic and diastolic BP, total cholesterol, triglyceride, and subscapular skinfold thickness were associated with a risk of dementia in a follow-up of 25 years [31]. Compared with men with no risk factors, men with two or more risk factors had a 56% increased risk of dementia, and this association was stronger for vascular dementia. In another study of the elderly population aged 60 years or older, the MMSE score decreased significantly, and the incidence of mild cognitive impairment increased as the number of diagnosed factors constituting MetS increased [32]. In a follow-up study of the Singapore Longitudinal Aging Study Cohort, each MetS component significantly increased the risk of developing mild cognitive impairment as well as the incidence of being diagnosed with dementia later in patients with mild cognitive impairment at baseline [33]. Furthermore, the risk of developing mild cognitive impairment and the incidence of dementia increased more significantly in the group with 3 or more than the group with less than three component cardiovascular risk factors. A recent meta-analysis showed that the risk of progression of mild cognitive impairment to dementia was significantly increased in people with diabetes (odds ratio, 1.53; 95% CI, 1.20 to 1.97) and MetS (odds ratio, 2.95; 95% CI, 1.23 to 7.05) [34]. However, another systematic review of 25 studies concluded that the effects of individual MetS components on cognitive decline are inconsistent and needs further investigation [35].
Unlike the studies focusing on MetS or risk factors at one time point, several studies have reported a link between changes in metabolic health status over time and the risk of dementia. MetS was assessed three times over a 10-year follow-up in the Whitehall II cohort study with middle-aged participants (35 to 55 years) [23]. It was found that the cognitive scores, defined as memory, reasoning, vocabulary, phonemic fluency, and semantic fluency, were significantly lower in the persistent MetS group (diagnosis of two or more times during the three medical examinations) compared to the group in which MetS was never diagnosed. On the other hand, the above cognitive scores did not show significant differences between the nonpersistent MetS group (diagnosis of once in three medical examinations) and the group in which MetS was not diagnosed at all, suggesting that only persistent MetS is associated with lower cognitive performance in late midlife. A Taiwanese cohort study analyzed MetS status by 5-year intervals, and the participants were divided into non-MetS, persistent MetS, improved MetS, and worsened MetS [24]. During up to 10-year of follow-up, the risk of dementia was higher in subjects with worsened MetS but not those with persistent or improved MetS. A similar study of a Korean population assessing MetS in 2-year intervals and a mean follow-up of 4.9 years was recently reported [25]. They showed that the risk of dementia was higher in the sustained and worsened MetS groups, and this trend was shown for all types of dementia, including vascular dementia and Alzheimer’s disease. In particular, the improvement of high BP and fasting blood glucose was associated with a lower risk of dementia compared to those having sustained high BP and fasting blood glucose.
In addition to known evidence that MetS status and their changes over time are important risk predictors, we aimed to measure the complex effect of exposure degree and duration on incident dementia, considering the dynamic nature of MetS. Using a scoring system, a quantitative assessment of exposure to each MetS component and their composite during a certain period was performed. In fact, more than one-third of subjects had changes in their MetS status during the 4 years, and nearly 95% of subjects had been exposed to at least one MetS component in this cohort. We found that the risk of all-cause dementia, Alzheimer’s disease, and vascular dementia increased in proportion to the MetS exposure score and MetS component exposure score. This was true for both improved and worsened MetS groups. These results suggest that the extent and duration of exposure to metabolic unhealthiness may be important in the development of dementia. To our knowledge, this is the first large-scale analysis to examine the long-term effects of cumulative exposure to MetS on dementia. The validity of this scoring system, giving an equal weight to each MetS component, can be explained by the fact that they share some of the common pathogenetic pathways that cause dementia [36]. These universal mechanisms associated with MetS components may lead to vascular dementia due to cerebral small vessel disease and atherosclerosis, as well as cognitive dysfunction due to neurodegeneration, neuroinflammation, and increased blood-brain-barrier permeability [36,37].
The most important and alarming finding in this study is that the increase in the incidence rate and HR of dementia became significant with very minimal exposure to MetS components. The risk of all-cause dementia and Alzheimer’s disease was already increased by approximately 40% with exposure to only one MetS component out of 20 during 4 years. This suggests a substantial increase in the dementia risk even before a formal diagnosis of MetS or other metabolic disorders. Because there is no complete cure and prevention is the best strategy in the management of dementia, active surveillance, education, lifestyle modification, and close follow-up are needed for high-risk subjects.
A strength of this study is the use of a nationwide database representing the entire Korean population, with almost 1.5 million subjects included in the analysis. Their metabolic health status was examined for 4 consecutive years for detailed characterization of risk profiles. However, some limitations should be acknowledged. First, because we included subjects who received annual health examinations, and men and employees are more likely to receive regular check-ups, the possibility of selection bias should be considered. Second, a causal relationship could not be confirmed because this was an observational study with a retrospective design. To overcome this problem, we performed a sensitivity analysis with elimination of cases developed in the first 2 years of follow-up, which showed similar results. Third, due to the lack of imaging data or cognitive function scaling, dementia was defined by disease codes and the prescription of medications; therefore, the severity of dementia could not be assessed. Further analysis on the relationship between the extent of exposure to metabolic dysfunction and cognitive decline would be interesting. Fourth, a possible role for unidentified confounding variables, such as genetic predisposition or social factors, remains to be identified. Last, because this study included only Korean people, the results may not be generalized to other ethnicities.
In conclusion, more cumulative exposure to MetS or its components was associated with a higher risk of all-cause dementia, Alzheimer’s disease, and vascular dementia. Because even minimal exposure to MetS components had a significant effect on the risk of dementia, more intensive management of metabolic risks should be emphasized for the prevention of dementia.
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