Association between multimorbidity and cognitive decline in the elderly population of the Eastern Province, Saudi Arabia.

BACKGROUND: Cognitive decline affects the quality of life, and dementia affects independence in daily life activities. Multimorbidity in older adults is associated with a higher risk of cognitive impairment. This research aims to study the relationship between cognitive decline and multimorbidity in the elderly population in the Eastern Province, Saudi Arabia. MATERIALS AND METHODS: This cross-sectional research was conducted from July to October 2022 among adults over 60 years. All patients with two or more comorbidities were contacted for a face-to-face interview and cognitive testing to estimate cognitive function by trained family physicians using St. Louis University Mental State Examination. ANOVA and Chi-square test were used to test for statistical significance. Binary logistic regression was used to show the odds of having cognitive impairment and multimorbidity. All tests were performed at 5% level of significance. RESULTS: The study involved 343 individuals; majority (74.1%) aged 60-75 years and were males (67.9%). Hypertension, diabetes, and chronic pain were reported by 56%, 48%, and 44% participants, respectively. Thirty percent participants had 3 or more comorbidities. About 36% had mild neurocognitive disorder and 31.2% had dementia. The results showed that age, gender (female), diabetes, stroke, chronic pain, and multimorbidity were significantly associated with cognitive impairment. In our study, hypertension, coronary artery diseases, depression, and anxiety were not significantly associated with risk of cognitive decline. CONCLUSION: Our study found that multimorbidity is significantly associated with cognitive decline. Controlling comorbidities and preventing risk factors in midlife could help in delaying the progression of the disease.

Artificial intelligence approaches for early detection of neurocognitive disorders among older adults.

Introduction: Dementia is one of the major global health issues among the aging population, characterized clinically by a progressive decline in higher cognitive functions. This paper aims to apply various artificial intelligence (AI) approaches to detect patients with mild cognitive impairment (MCI) or dementia accurately. Methods: Quantitative research was conducted to address the objective of this study using randomly selected 343 Saudi patients. The Chi-square test was conducted to determine the association of the patient's cognitive function with various features, including demographical and medical history. Two widely used AI algorithms, logistic regression and support vector machine (SVM), were used for detecting cognitive decline. This study also assessed patients' cognitive function based on gender and developed the predicting models for males and females separately. Results: Fifty four percent of patients have normal cognitive function, 34% have MCI, and 12% have dementia. The prediction accuracies for all the developed models are greater than 71%, indicating good prediction capability. However, the developed SVM models performed the best, with an accuracy of 93.3% for all patients, 94.4% for males only, and 95.5% for females only. The top 10 significant predictors based on the developed SVM model are education, bedtime, taking pills for chronic pain, diabetes, stroke, gender, chronic pains, coronary artery diseases, and wake-up time. Conclusion: The results of this study emphasize the higher accuracy and reliability of the proposed methods in cognitive decline prediction that health practitioners can use for the early detection of dementia. This research can also stipulate substantial direction and supportive intuitions for scholars to enhance their understanding of crucial research, emerging trends, and new developments in future cognitive decline studies.

Risk of Obstructive Sleep Apnea and its Relation to Cognitive Functions Among Saudi Older Adults.

Background: The association between obstructive sleep apnea (OSA) and cognitive decline among older adults is a still a topic of debate. Objective: The aim of this study was to determine the association between risk of OSA and cognitive function among Saudi older adults. Methods: This was a cross-sectional community-based study conducted between July and October 2022. Participants were recruited from gathering areas where older adults are likely attending such as district centers, waiting areas of shopping malls, and mosques. Questionnaires were completed using face-to-face interviews. The questionnaire included questions of sociodemographics, sleep pattern and health status. A validated Arabic version of Athens insomnia scale, STOP-BANG questionnaire, and St. Louis University mental status (SLUMS) questionnaire were used. A multi-Linear regression model was used to determine the association between cognitive functions and OSA. Results: A total of 343 participants were recruited in this study, of which 86% were male. The mean age was 65±9 years. 65% of participants with high risk of sleep apnea were diagnosed with either dementia or mild cognitive impairment (MCI). Most of the participants who were illiterate (83%) had dementia, while only 4% of participants with higher education had dementia. Conclusion: Dementia and mild cognitive impairment is prevalent among Saudi older adults with high risk of OSA. Clinicians and patients should be aware of the risk of developing dementia in patients with OSA, especially if remain untreated.

Prevalence of low back pain and disability among secondary school teacher in the eastern province of the Kingdom of Saudi Arabia: a cross-sectional analytical study.

Introduction: Lower back pain is common worldwide and affects over 600,000 people annually, including teachers. The study aimed to investigate the prevalence of low back pain and disability among secondary school teachers in the Eastern Province of the Kingdom of Saudi Arabia. Materials and methods: This cross-sectional study included secondary school teachers in the eastern province of Saudi Arabia. 34 schools were selected using a multistage stratified sampling approach. Teachers were allotted randomly and proportionally to each school. Data was collected by anonymous questionnaire having three elements: sociodemographic and health-related questions, the Standardized Nordic Questionnaire, and the Oswestry Low Back Pain Disability Questionnaire. The anthropometric data was also included. Both unadjusted and adjusted logistic regression analyses were performed. Results: A total of 601 teachers participated in the study with 62.56% reported low back pain. The overall mean age was 40.31 ± 8.13 years. The male-to-female ratio was similar. Back pain was significantly higher among females than males (73.36 and 51.52%, respectively). Additionally, back pain will significantly increase when stress levels and the number of classes increases. A positive correlation was found between age with low back pain (p = 0.001).There was minimal disability in 64.63% of the 376 teachers who reported low back pain, moderate disability in 29.79%, and severe disability in 4.79%, and only three (0.8%) were considered crippled. Females were more frequently seen in moderate and crippled categories, and perceived stress levels generally increased mean disability scores. Age and female gender were revealed to be significant predictors of low back pain by logistic regression (adjusted odds ratio [OR] = 1.04, 95% confidence interval [CI] = 1.02-1.07) and (adjusted OR = 2.11, 95% CI = 1.45-3.05), respectively. The number of classes per week was also a significant predictor. Conclusion: This study adds to the epidemiological evidence that reveals a high prevalence of low back pain and disability among teachers. Identified risk factors in this study may also reinforce the importance of setting different interventions and preventive measures to reduce lower back pain risk.

A Cross-Sectional Analysis into the Willingness and Hesitancy to Test and Vaccinate Against COVID-19 Among the Elderly Population in the Kingdom of Saudi Arabia.

Introduction: COVID-19 remains a public health concern. Vaccinations, testing and tracing have been proven to provide strong protection against severe illness and death. Older adults are amongst the groups with an increased risk of severe illness. This study aimed to explore the willingness and hesitancy of the elderly population in the Kingdom of Saudi Arabia to test and vaccinate against COVID-19. Methods: This cross-sectional study targeted participants aged 65 years and above. The questionnaire included both sociodemographic variables, and variables related to willingness and hesitancy to vaccinate and test for COVID-19 that were mainly based on existing literature. Bivariate analyses were performed to test for associations. Significance was set at the 0.05 level. Results: The total sample of respondents was 502. The results show that 52.4% were not aware of a previous infection. Participants aged above 70 years and females were found to be more aware of a previous infection (51.6% and 53.1% respectively) (P < 0.05). Also, 54.7% felt it necessary to test against COVID-19, and among those, 70.8% believed that testing would contain and control the spread. The results also show that 3.2% were not vaccinated to date, compared to 95.41% who had the complete dose as well as the recommended booster dose for elderlies. Age, sex and level of education were significantly associated with vaccine uptake, where participants aged between 65 and 70 years, males and high levels of education were associated with a complete vaccine uptake. Discussion: The current findings add to the epidemiological evidence and show that the social network theory within the context of health may have played a role in self-awareness of previous infections. Also, social factors should be incorporated in public health interventions and public health campaigns targeting the elderly are still needed especially with the continued discovery of variants of interests.

Associations between polypharmacy and potentially inappropriate medications with risk of falls among the elderly in Saudi Arabia.

BACKGROUND: Falls are dangerous to the health of older adults and can impact their functional status leading to frailty. The use of potentially inappropriate medications (PIMs) among older adults may lead to adverse health outcomes and increase the risk of falls. Polypharmacy increases the incidence of falls. Beers criteria by the American Geriatric Society is one of the many criteria used to detect PIMs. It assesses the appropriateness of drug prescriptions (i.e., correct dose, duration, and indications) to ensure the safety of these drugs, reducing drug interactions and decreasing the hazards of side effects. This epidemiological study aims to explore the association between polypharmacy and Beers criteria with the risk of falls in the elderly. METHOD: A total of 387 outpatients aged 60 or older were interviewed in person. The patients were recruited from the University Hospital and the Family and Community Medicine Center in Khobar city, Saudi Arabia, between the period of November 2021 to March 2022. All patients were able to walk independently. The survey began by collecting patients' demographics, gathering medication history, and asking three key questions to detect the risk of falls which was developed by the Center of Disease Control (CDC). Polypharmacy (defined as concurrent use of five or more medications) and PIMs (defined as use of one or more medications in the Beers list) were examined against risk of falls in the elderly. Multiple logistic regression analyses were used to estimate adjusted Odds Ratios (ORs). RESULT: A total of 387 patients participated in the study; 62% were male, and most participants belonged to the 60 < 65 years age category (47.80%). Among all patients, 55% had a high risk of falling, and 21% of patients had fell during the past year. Polypharmacy applied to 50.90% of all patients, while Beers criteria positive group applied to 51.42%. Risk of falls and prior falls were associated with polypharmacy both before and after adjustment. CONCLUSION: The results showed a significant association between risk of falls with polypharmacy and PIMs, and more than half of our study population had a high risk of falls. Of those at a higher risk, one out of five had indeed experienced a fall in the last 12 months. Higher rates of falls were associated with older aged patients, lower educational levels, female gender, and cardiovascular medications.

Association Between Multi-Morbidities and Polypharmacy Among Older Adults at an Academic Medical Center in Saudi Arabia.

Background: Polypharmacy, or the routine use of five or more medications, can result in impacting patients' quality of life. Objective: to examine the association between multi-morbidities and polypharmacy, and to examine prescription practices in the elderly. Methods: This is a retrospective cross-sectional study. Data were gathered from electronic medical records (EMR) at King Fahad University Hospital (KFHU) and the Family & Community Medicine Center (FCMC) of Imam Abdulrahman bin Faisal University (IAU), between January 1, 2019, and December 31, 2020. We included individuals aged 60 and above with at least one dispensed prescription in 2019 and 2020. Of the 76,216 patient records reviewed, 5,060 met the inclusion criteria. Polypharmacy was defined as a monthly average of five or more prescribed medications. The prevalence of polypharmacy was calculated by year, sex, and age group, and findings were summarized using mean medication numbers and standard deviations for each stratum. An app using R programming language was developed to help visualize patients' medication histories through interactive plots. Results: Polypharmacy prevalence was 46% in 2019 and 44.6% in 2020. The mean and standard deviation of medications per person was 5.17 (3.42) in 2019 and 5.04 (3.37) in 2020. Females had a higher average number of medications than males, 5.17 (3.47) vs 5.04 (3.32). The age group of 80-85 had the highest number of medications at 5.6 (3.6), while those aged 90 and above had the lowest number at 4.48 (2.64). The presence of comorbidities was positively associated with the mean monthly medication count (P value < 0.01). Conclusion: Our study revealed a high prevalence of polypharmacy among elderly patients at KFHU/FCMC, and a positive association with multi-morbidities. Consequently, measures must be taken to mitigate this globally emerging issue's impact and rapid progression.

Association Between Nap Duration and Cognitive Functions Among Saudi Older Adults.

Purpose: Current evidence of whether napping promotes or declines cognitive functions among older adults is contradictory. The aim of this study was to determine the association between nap duration and cognitive functions among Saudi older adults. Methods: Old adults (> 60 years) were identified from the Covid-19 vaccine center at Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia between May and August 2021. Face-to-face interviews were conducted by a geriatrician or family physicians. Data collected for each participant included sociodemographic, sleep patterns, health status and cognitive functions. St. Louis University mental status (SLUMS) was used to assess the cognitive functions. A multi-Linear regression model was used to determine the association between cognitive functions and nap duration. Results: Two-hundred participants (58 females) aged 66 ± 5 years were recruited. Participants were categorized according to their nap duration into non-nappers (0 min), short nappers (> 0- ≤ 30 min), moderate nappers (> 30-≤ 90 min), and extended nappers (> 90 min). The mean duration of the nap was 49.1 ± 58.4 min. The mean SLUMS score was 24.1 ± 4.7 units. Using the multi-linear regression model, the mean total SLUMS score for extended nappers was, on average, significantly lower than non-nappers [-2.16 units; 95% CI (-3.66, -0.66), p = < 0.01] after controlling for the covariates (age, sex, education level, sleep hours, diabetes mellitus, hypertension, pain). Conclusions: Extended napping was associated with deterioration in cognitive function among Saudi older adults.