Prevalence of mild neurocognitive impairment and relationship between internet use and mild cognitive impairment in elderly in Phuket province
Keywords:
Cognitive Impairment,, Internet Use,, ElderlyAbstract
Background: Thailand is entering an aging society where the population of elderly people is increasing, bringing along various health issues. One of these issues is cognitive impairment, with Alzheimer's disease being a significant cause of dementia.
Objective: (1) To study the prevalence of mild cognitive impairment in elderly individuals in the urban community of Phuket province. (2) To investigate the relationship between internet usage and mild cognitive impairment in elderly individuals in the urban community of Phuket province. (3) To examine the factors associated with mild cognitive impairment in elderly individuals in the urban community of Phuket province.
Method: This study is a cross-sectional analytical study conducted on elderly individuals aged 60 years and above, who are socially active, at three community hospitals in Phuket province during August 2023. A total of 190 participants were surveyed using general information questionnaires and questionnaires regarding health behaviors, internet usage, depression screening (2Q, 8Q, 9Q), cognitive impairment screening (Mini-Cog), and cognitive impairment screening (MoCA). Factors between two groups of elderly individuals, namely the normal group and the MCI group, were compared. The relationship between variables was analyzed using Chi-square tests and multiple logistic regression, with a significance level set at p-value < 0.05.
Result: The prevalence of cognitive impairment among the elderly in the urban community of Phuket province was 55.79%. In the age groups of 60-69 and 70-79 years, the prevalence rates were similar and increased significantly in the group aged 80 years and above. Factors significantly associated with cognitive impairment, as determined by pairwise analysis, included gender, age, occupation, income, and education level. Continuous physical exercise and internet usage were also analyzed. In the multiple regression analysis, only gender and government employment were identified as protective factors against cognitive impairment. Being female was a risk factor, with an odds ratio of 2.482 (P=0.032, 95%CI =1.082-5.650), while government employment was protective (P=0.034, 95%CI =0.036-0.880).
Conclusion: The prevalence of cognitive impairment among the elderly in urban communities in Phuket province is comparable to other studies conducted in urban areas. Cognitive impairment is often found more commonly in females, while lower prevalence rates are observed in the civil servant occupation group. Government employment is a predictive factor for the occurrence of cognitive impairment. Additionally, in Phuket province elderly individuals use the internet. However, internet usage cannot predict the occurrence of cognitive impairment in the elderly.
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