Literature DB >> 31589113

The Association Between Diabetes and Cognitive Function in Later Life.

Yadollah A Momtaz1,2, Tengku A Hamid1, Mohamad F Bagat1, Maryam Hazrati3.   

Abstract

INTRODUCTION: Although diabetes through several possible mechanisms such as increased microvascular pathology and inefficiency of glucose utilization during cognitive tasks can be associated with cognitive impairment, there is inconclusive evidence that shows elderly diabetic patients under therapy have higher cognitive function compared to their non-diabetics counterparts. The present study was conducted to elucidate the association between diabetes and cognitive function in later life.
METHODS: Data for this study, consisting of 2202 older adults aged 60 years and above, were taken from a population-based survey entitled "Identifying Psychosocial and Identifying Economic Risk Factor of Cognitive Impairment among Elderly. Data analysis was conducted using the IBM SPSS Version 23.0.
RESULTS: The mean of MMSE was found to be 22.67 (SD = 4.93). The overall prevalence of selfreported diabetes was found to be 23.6% (CI95%: 21.8% - 25.4%). The result of independent t-test showed diabetic subjects had a higher mean score of MMSE (M = 23.05, SD =4 .55) than their counterparts without diabetes (M = 22.55, SD = 5.04) (t = -2.13 p<.05). The results of multiple linear regression analysis showed that diabetes was not significantly associated with cognitive function, after controlling the possible confounding factors.
CONCLUSIONS: The findings from the current study revealed that diabetes is not associated with cognitive decline. This study supports the findings that long-term treatment of diabetes may reduce the risk of cognitive decline. This finding may provide new opportunities for the prevention and management of cognitive decline. Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.

Entities:  

Keywords:  Aged; MMSE; cognitive function; cognitive impairment; diabetes; microvascular pathology.

Year:  2019        PMID: 31589113      PMCID: PMC6971815          DOI: 10.2174/1874609812666190614104328

Source DB:  PubMed          Journal:  Curr Aging Sci        ISSN: 1874-6098


INTRODUCTION

Diabetes and dementia are two most common medical conditions among older adults [1]. Due to effective prevention and treatment strategies for the macro and microvascular complications of diabetes, people with diabetes are living longer, which might result in the emerging new complications such as dementia [2]. Several studies have assessed the association between diabetes and dementia and most studies identified diabetes as a risk factor for dementia in old age [3-5]. There are several potential mechanisms that explain the association between diabetes and dementia [2, 6-13]. One of the potential underlying mechanisms is insulin resistance and deficiency that may interact with amyloid-β protein and tau protein phosphorylation that might lead to the onset and development of dementia [2, 13]. In addition, diabetes as a complex metabolic disorder can be associated with some identified risk factors, such as vascular disease, impaired glucose metabolism, chronic inflammation, hypoglycemia and hyperglycemia, APOE-ε4 allele, and oxidative stress which appears to play a role in the onset and development of dementia [6-12]. Although, as mentioned above, there is a growing body of evidence suggesting that diabetes may increase the risk of dementia [14, 15], there are some other studies that show diabetes treatment may reduce the risk of cognitive decline [16-18]. In light of this evidence, diabetes treatment that may reduce the risk of dementia has gained the interest for scientists and resulted in conflicting results. For example, the findings from an epidemiological trial showed that those diabetic patients who were long-term users of metformin, had a slightly higher risk of dementia than those who did not receive the drug [19]. The contrasting findings from the recent studies [16-19] imply that more research is needed for a consistent understanding of the impact of dementia treatment on cognitive function. Therefore, the present cross-sectional study was conducted on 2202 older adults to elucidate the association between diabetes and cognitive function in later life.

METHODS

The data for this study were drawn from the cross-sectional national survey entitled “Identifying Psychosocial and Identifying Economic Risk Factor of Cognitive Impairment among Elderly”. The survey employed a multi-stage proportional cluster random sampling technique to obtain a sample of community-dwelling older adults in Malaysia. The detailed methodology of the survey has been previously reported elsewhere [20, 21].

ETHICAL CONSIDERATIONS

The study was approved by the Medical Research Ethics Committee of Faculty of Medicine and Health Science of Universiti Putra Malaysia, in accordance with the Helsinki Declaration, World Medical Association (WMA). After explaining the purpose of the study, informed consent was orally obtained from all participants.

MEASURES

Cognitive Function

The cognitive function was measured by a validated Malay version of the Mini-Mental State Examination (MMSE) [22]. The total raw score was used in the analyses.

Diabetes

The self-reported method was used to assess previously diagnosed diabetes by asking respondents, “Have you ever been told by a doctor that you had diabetes?. The self-reported diagnosis of diabetes has been found as a valid method to assess diabetes in epidemiological studies [23-25].

Confounding Factors

Socio-demographic confounding factors contributing to cognitive function [26, 27], such as age, sex, marital status, years of education, household income, and employment status were assessed.

Data Analysis

To fulfill the study purposes both descriptive and inferential statistics were employed using IBM SPSS version 23. First, the univariate was conducted to assess variables distribution. Second, a multiple linear regression was used to assess the effect of diabetes on cognitive function. The assumption of the normal distribution for numeric variables was assessed by skewness and kurtosis indices. The results showed that skewness and kurtosis values were within the acceptable range of -2 to +2 [28]. A two-tailed α value of 0.05 was considered as the level of statistical significance.

RESULTS

The sample for the current study consisted of 2,202 community-dwelling Malaysian older adults, with an average age of 69.05 (SD= 6.24) years. Table presents socio-demographic characteristics of the respondents. As can be seen from Table , 47.9% of the respondents participated in the survey were men, and 31.3% were unmarried. Most respondents had a primary education (57.8%), 21.4% obtained a secondary and tertiary education, and around one-fifth of the respondents reported having no formal education. The mean of MMSE was found to be 22.67 (SD=4.93). The overall prevalence of self-reported diabetes was found to be 23.6% (CI95%: 21.8% - 25.4%) among older adults aged 60 years and above. As depicted in Fig. (), the result of an independent t-test showed a significant difference between respondents with diabetes and those without diabetes in mean score of MMSE (t=-2.13 p<.05), wherein diabetic subjects had a higher mean score of MMSE (M=23.05, SD=4.55) than their counterparts without diabetes (M=22.55, SD=5.04). The assumptions for multiple linear regression analysis including linearity, homoscedasticity and collinearity were tested and the findings showed that the assumptions were met. The results of multiple linear regression analysis emerged as a significant model that was able to explain 14% of the variance in cognitive function, (F (9, 2176) =125.68, R2 =.34, p<.001). As can be found from Table , diabetes was not significantly associated with cognitive function, after adjusting for age, sex, years of education, marital status, employment status, and household income.

DISCUSSION

The main purpose of the present study was to elucidate the association between diabetes and cognitive function in later life. According to the present study, about one-fourth (23.6%) of the Malaysian older adults had diabetes. The prevalence of diabetes observed in older Malaysians aged 60 years and over is lower than the finding reported by the study in Australia. The prevalence of self-reported diabetes in a sample of Indigenous Australians aged 40-92 years was 37.11% [24]. However, the prevalence of self-reported diabetes in our study was higher than what has been documented by a Brazilin study, wherein 15.4% of the sample presented self-reported diabetes [29]. Our finding is closely consistent with the results of a recent study in Malaysia which showed that the prevalence of diabetes was 22.7% among older adults 60 years and above [30]. The result of the bivariate analysis revealed that diabetic subjects had a higher mean score of cognitive function than their counterparts without diabetes. Although, there is a 

growing body of scientific investigations indicating that diabetes is associated with an increased risk of developing cognitive impairment and dementia [31-33], the findings from the current study revealed that diabetic respondents had a higher score of cognitive function. As the first line oral diabetes medication in Malaysia is metformin [34], it can be said that metformin may be associated with the lowest risk of cognitive impairment. This finding is consistent with previous studies [23-25, 35, 36] that have demonstrated using metformin for diabetes management is contributed to lower possibility of cognitive impairment. Metformin as an orally active biguanide clearly reduces insulin levels, inflammation and thrombosis, and the risks of metabolic syndrome [2]. Additionally, there is evidence indicating that metformin acts as an antiaging factor that promotes health [37, 38].

CONCLUSION

The findings from the current study revealed that diabetes is not associated with cognitive decline. This study supports the findings that long-term treatment of diabetes may reduce the risk of cognitive decline [13]. These findings imply that metformin could play a role in preventing dementia [39]. This finding may provide new opportunities for the prevention and management of cognitive decline.

LIMITATIONS

Although the current study benefits from its large sample size, there are a few limitations that should be acknowledged. Firstly, the study employed a cross-sectional design which impedes causal inferences. Although there is a substantial agreement between self-reported and physician assessment for diabetes [40], the second possible limitation of this study is that the assessment of diabetes was based on the self-report measure.
Table 1

Socio-demographic characteristics of the respondents.

- Frequency Percent
Sex Female114852.1
Male105447.9
Employment Status Not working170977.6
Working49322.4
Marital Status Unmarried69031.3
Married151268.7
Diabetes No168276.4
Yes52023.6
Educational Level No formal45820.8
Primary127357.8
Secondary and tertiary47121.4
Age 60-69126057.2
70-7981036.8
80+1326.0
Household Income Less than RM 500116352.8
RM 500+103947.2

RM: Ringgit Malaysia.

Table 2

Results of multiple linear regression analysis.

Variable B SE Beta t P-value 95%CI
Age-0.070.02-0.08-3.76P<.001.01 .09
Sex0.350.230.041.51.130-.41 .49
Marital Status0.450.240.041.84.065-.43 .51
Employment status0.230.250.020.94.345-.47 .51
Years of education0.340.030.2711.74P<.001.21 .33
Household Income0.760.210.083.56P<.001.33 .49
Diabetes0.290.230.031.26.209-.42 .48

F(7, 2190)=51.23, P<.001, R2=.14.

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