Predictors Of Adherence Research Articles

Cross-sectional analysis of factors associated with medication adherence in western Kenya

ObjectivesPoor medication adherence in low-income and middle-income countries is a major cause of suboptimal hypertension and diabetes control. We aimed to identify key factors associated with medication adherence in western...

Factors predicting medication adherence among coronary artery disease patients in Saudi Arabia: A descriptive study.

To measure medication adherence among coronary artery disease (CAD) patients and identify sociodemographic factors that are medication adherence predictors. A cross-sectional correlation design was carried out, following the STROBE guidelines. The study was carried out in a specialized cardiac center in the western region of Saudi Arabia between March 2019 and January 2020. A total of 278 patients completed the study survey. The majority of participants (59.4%) reported moderate medication adherence, and the remainder reported poor (30.6%) and good (10%) medication adherence. It was found that women patients, patients with higher education levels, non-smokers, patients who regularly followed-up with their cardiologist, and patients with family support showed significantly higher medication adherence. Four of the sociodemographic variables (gender, number of doctor visits, family support, and education level) predicted medication adherence. Approximately 30% of the participants reported poor medication adherence. The number of cardiologist visits and the level of family support were 2 of the factors found to be associated with medication adherence.

Beliefs and preferences as predictors of prophylactic adherence and lockdown compliance in South Africa

ABSTRACT Much of the research on behavioural preferences as predictors of compliance with regulations aimed at reducing the transmission of COVID-19 has focused on developed countries, with very little consideration of African countries. We conduct an online survey (n = 1503) considering beliefs, and individual and social preferences as predictors of compliance with prophylactic measures and lockdown regulations in South Africa. We use incentivized experimental measures of individual (risk and time) preferences and social preferences (cooperativeness and altruism). We also consider survey measures of risk tolerance, patience and trust. We find that beliefs about others’ behaviour are highly predictive of reported behaviour. We also find that greater patience and cooperativeness are predictive of high compliance with prophylactic measures and lockdown regulations. Encouragingly, respondents report higher compliance at higher lockdown levels, suggesting responsiveness of behaviour to the level of risk of infection.

SPESİFİK OLMAYAN BEL AĞRILI HASTALARDA TERAPÖTİK EGZERSİZLERE OLAN UYUM

Purpose: Adherence to therapeutic exercises for low back pain can significantly impact longevity, quality of life, and health care costs. There is insufficient research describing the nature and relationship between specific patient characteristics and exercise adherence in non-specific low back pain (NSLBP). This research aimed to examine: (i) the relationship between education and adherence, (ii) the relationship between perceived pain level and adherence, and (iii) whether education and pain level are significant predictors of adherence. 
 Methods: Observational analytic research was conducted in a physiotherapy outpatient setting on a sample of 50 subjects with NSLBP. Data collected were: sociodemographic, pain level according to the visual analogue scale (VAS) and adherence measured by the Exercise Adherence Rating Scale (EARS). For hypotheses testing, statistical methods used were; t-test for small independent samples (i), Pearson correlation coefficient (ii) and linear regression analysis (iii). 
 Results: The results show that: (i) people with a college education are more adherent, (ii) increasing adherence reduces pain level, and (iii) education and pain level are significant in predicting adherence, where education is a stronger predictor. 
 Conclusion: College-educated persons are more prone to therapeutic exercise, and adherence determines physiotherapy outcomes. The contribution of research to clinical practice is reflected in the findings of the nature and relationship between education level and exercise adherence in NSLBP and its significant impact on physiotherapy outcomes.

Knowledge and practice of Medication Adherence among patients with Schizophrenia attending Hospitals in North-western Nigeria

Background: Adherence to psychiatric medications is a complex, dynamic behaviour requiring patients to initiate treatment and continue to take their medications at the correct time, in the correct dose, for prolonged periods of time. But, improving adherence in schizophrenia may have a considerable positive impact on patients and society in terms of quality of life. This can be achieved by focusing on the identified multitude of factors driving non-adherence. Aim: This study assessed the knowledge and practice of medication adherence among patients with Schizophrenia attending hospitals in Northwestern part of Nigeria. Methodology: A quasi-experimental psycho-educational intervention study was conducted with before and after design among patients with Schizophrenia and their family caregivers selected from some hospitals in Northwest Nigeria. The study population comprised all the eligible patients with schizophrenia and their family caregivers within the study area, who were selected and agreed to participate in the study. A sample size of one hundred and thirty participants each for both the experimental and control groups were selected using a multistage sampling technique. Data was collected using Questionnaire Data collected was coded, entered, and analyzed using the Statistical Package for the Social Sciences (SPSS) version 22. Result: There was an increase in the knowledge of schizophrenia and medication adherence, quality of life and level of medication adherence after the psycho-educational intervention.The predictors of medication adherence among the study participants in the experimental group include the following: type of treatment (ECT) (AOR=0.25, 95%CI= 0.18 – 0.75) was found to be negative predictor of medication adherence to treatment among study participants (AOR=0.25, 95%CI= 0.18 – 0.75). While, cost of treatment of more than one thousand five hundred naira per day (AOR=3.00, 95%CI=2.83 – 12.24).

Adherence to SARS-CoV-2 Vaccination Recommendations among Patients with Substance Use Disorders: A Cross-Sectional Study in Rome, Italy.

Adherence to vaccination recommendations is a challenge for national immunization programs. We quantified adherence to COVID-19 vaccination recommendations in people with substance use disorders (SUDs) attending an outpatient addiction center in Rome, Italy; we investigated the determinants of adherence, and also analyzed patient risk perception and compliance with preventive measures. A multivariable logistic regression model identified predictors of adherence to vaccination recommendations, with statistical validity tested by estimating adjusted odds ratios (aORs) and 95% confidence intervals (CIs). From December 2021 to January 2022, 200 SUD patients completed a questionnaire, 80% of whom reported being vaccinated against SARS-CoV-2 (minimum one dose). Negative predictors of vaccine uptake included being non-Italian (aOR: 0.36, 95% CI: 0.13-0.97), having coexisting comorbidities (aOR: 0.35, 95% CI: 0.13-0.95), and previous use of heroin (aOR: 0.24, 95% CI: 0.08-0.71). No difference was found for cocaine use, demographic characteristics, previous COVID-19 infection, methadone therapy, or compliance with preventive measures. Major reasons for non-adherence to vaccination recommendations were fear of side effects, insufficient recognition of the importance of vaccination, bureaucratic issues, and lack of trust in the authorities. Given their vulnerability, additional efforts are needed to facilitate access to vaccination for people with SUDs, and to limit disinformation around vaccines..

Social Identity and Adherence Behavior in Older Adult Group-Based Exercise

ABSTRACT The purpose of this study was to prospectively examine the relationship between social identity and exercise adherence among older adults. Eighty group-based older adult exercise class attendees (M age = 68.00) completed a baseline questionnaire assessing the three dimensions of social identification (ingroup ties, cognitive centrality, ingroup affect) with their exercise class, and recorded their exercise class attendance using a logbook over a four-month period. Results highlighted in-group affect as a significant predictor of exercise class adherence, meaning older adults who reported positive feelings and emotions associated with their exercise class membership were also more likely to attend class across time.

Predictors of Medication Adherence in Patients with Type 2 Diabetes: A Cross-Sectional Study

Predictors of Medication Adherence in Patients with Type 2 Diabetes: A Cross-Sectional Study

Adherence to self-care practices and associated factors among heart failure patients in Ethiopia: A systematic review and meta-analysis.

Heart failure is the leading cause of hospital stays, medical expenses, and fatalities, and it is a severe problem for worldwide public health. Successful heart failure therapy requires a high level of self-care as well as devotion to different elements of the treatment plan. Despite the positive effects of heart failure self-care on health outcomes, many heart failure patients engage in insufficient self-care behaviors. Additionally, conflicting information has been found regarding the prevalence and predictors of self-care behaviors in Ethiopia. As a result, this review's objective is to provide an overview of the most recent studies on Ethiopian heart failure patients' self-care practices. We have used four databases such as PubMed, Science Direct, Scopus and Google Scholar. Eventually, the final systematic review and meta-analysis contained eleven papers that matched the eligibility requirements. A systematic data extraction check list was used to extract the data, and STATA version 14 was used for the analysis. Heterogeneity was evaluated using the I2 tests and the Cochrane Q test statistic. To examine publication bias, a funnel plot, Egger's weighted regression, and Begg's test were utilized. The pooled magnitude of adherence to self-care was 35.25% (95%CI: 27.36-43.14). The predictors of good adherence to self-care behavior includes heart failure knowledge (odds ratio = 5.26; 95% CI, 3.20-8.65), absence of depressive symptoms (odds ratio = 3.20;95% CI,1.18-8.70), higher level of education (AOR = 3.09;95%CI,1.45-6.61), advanced New York Heart Association (NYHA) class (odds ratio = 2.66; 95% CI, 1.39-5.07), absence of comorbidity(odds ratio = 2.92; 95% CI,1.69-5.06) and duration of heart failure symptoms(odds ratio = 0.37; 95% CI, 0.24-0.58). The extent of self-care behavior adherence is shown to be low among heart failure patients. This study showed a positive relationship between self-care behavior and factors such as proper understanding of heart failure, the absence of co-morbidity, depression, higher levels of education, a longer duration of heart failure symptoms, and advanced classes of heart failure disease. Therefore, a continuous health education should be given for patients to enhance their understanding of heart failure. Besides, special attention should be given for patients having co-morbidity and depressive symptom.

Medication adherence and its influencing factors in community-dwelling older adults with chronic illnesses in a rural area

Background & Aim: Older adults with chronic diseases are usually required to manage multiple medications and complex medication regimens. Medication adherence is crucial in older adults which is increasingly being recognized due to its potential to impact healthcare utilization and treatment efficacy. The current study aimed to assess medication adherence and its influencing factors in community-dwelling older adults with chronic illnesses in rural areas. ‎
 Methods & Materials: A cross-sectional study design was used to achieve the study aim. The study sample was composed of 310 older patients from a rural area in Sharkia Governorate, Egypt. Medication adherence was assessed by the Arabic version of the General Medication Adherence Scale. Association between medication adherence and older patients' characteristics was identified through the Chi-square test, Pearson's correlation coefficient, and Logistic regression.
 Results: Among 310 older patients, 84.8% of them were non-adherent to their medications. Significant relationships were found between medication adherence and age, gender, educational level, marital status, and monthly income. Aging less than 70 years, female gender, sufficient income, fewer illnesses, and medication number were significant predictors for medication adherence.
 Conclusion: The current study findings revealed that most rural older adults with chronic illnesses were non-adherent to their medications, with many influencing factors such as age, gender, educational level, monthly income, and illnesses and medication number. So, the study recommends the importance of developing strategies to improve medication adherence in community-dwelling older adults in rural areas.

Individual Differences in Females' Adherence to Public Health Measures and Psychopathology Symptoms During a Global Health Crisis: the Role of Triarchic Psychopathic Traits.

The two broad aims of this study were to (a) investigate how the three traits of the triarchic model-boldness, meanness, and disinhibition-relate to compliance with public health measures, as well as to internalizing and externalizing psychopathology, during a public health crisis, and (b) test for associations between psychopathology and compliance with public health measures. Participants were 947 Brazilian adult females aged 18-75years who completed measures of the triarchic traits, internalizing and externalizing symptoms/problems, and a COVID-19 behaviors and beliefs questionnaire. Multiple regression and path analyses showed meanness to be the only triarchic trait significantly predictive of compliance with public health measures, in a negative direction, when controlling for the other traits. Results also demonstrated that compliance with public health measures was associated with levels of distress (negatively), obsessions/fear (positively), and positive mood (negatively). Overall, the results demonstrate the contributions of the triarchic traits to understanding complex phenomena, highlighting meanness as the most essential triarchic trait predictor of adherence to public health measures among females.

Are intelligent people more likely to get vaccinated? The association between COVID-19 vaccine adherence and cognitive profiles

IntroductionSince vaccination adherence is crucial in reducing morbidity and mortality during a pandemic, we characterized the association between demographic, intelligence, and personal attributes and COVID-19 vaccination adherence among young adults. MethodsCohort study including vaccination data of 185,061 personnel, collected during 13 months of COVID-19 vaccination campaign, while a wide array of vaccination incentives were offered. The effect of demographic data (age, gender and socioeconomic status), military medical fitness – fit for combat service, administrative service, or unfit (volunteering), general intelligence score (GIS) and military social score (MSS) assessing social abilities, on vaccine adherence (allocating by IMOH guidelines) was examined. ResultsAdherent (vs. nonadherent) personnel presented higher GIS (mean 5.68 ± 1.84 vs. 4.72 ± 1.91) and MSS (median 26 (IQR 23–29) vs. 24 (IQR 19–26)), p < 0.001 for both. Higher intelligence was the strongest predictor for vaccine adherence (OR = 5.38, 95 %CI 5.11–5.67, p < 0.001). The probability for vaccine adherence increased in association with escalating GIS scores, with highest GIS females more likely to adhere to vaccination than same-level males (OR = 5.66, 95 %CI 5.09–6.28 vs. OR = 3.69, 95 %CI 3.45–3.94, respectively, p < 0.001 for both). Medically fit service-members were approximately three times as likely to be adherent than volunteering personnel (OR = 2.90 (95 %CI 2.65–3.17) for administrative and OR = 2.94 (95 %CI 2.70–3.21) for combative fitness, p < 0.001 for both). ConclusionsDuring a COVID-19 vaccination campaign, addressing vaccine hesitancy contributing factors and providing wide vaccine availability, GIS and physical fitness had the strongest association with vaccination adherence among young adults. When planning future vaccination campaigns, implementing these insights should be considered to improve adherence.

Psychological and Behavioural Within-participant Predictors of Adherence to Oral HIV Pre-Exposure Prophylaxis (PrEP).

Oral PrEP's effectiveness relies on adequate adherence during periods of substantial HIV risk. Since most PrEP users will miss doses, understanding predictors within participants can help to explain adherence. We used a cross-sectional, within-participant design with 67 gay, bisexual, and other men who have sex with men taking PrEP daily. Using a questionnaire, informed by the Information Motivation Behavioral Skills Model, participants were asked about an adherent and a non-adherent episode. PrEP non-adherence was associated with non-normality of the day (p < .001), being out of the home (p < .001), weekend days (p = .01), having company (p = .02), using substances (p = 0.02), not using reminders (p = .03), lower PrEP information (p = .04), lower behavioural skills (p < .001) and less positive affect (p = .002). PrEP adherence assessment could focus on situational variations, supporting the construction of alternative strategies to facilitate adherence in these situations.

Assessment and Prediction of Adherence to Methotrexate Using Three Self-Report Questionnaires in Patients with Rheumatoid Arthritis.

Introduction: Methotrexate (MTX) reduces rheumatoid arthritis activity and ameliorates the long-term functional status in these patients. To achieve this aim, patients need to take their medication regularly. Nevertheless, non-adherence to MTX still remains a considerable issue in the management of rheumatoid arthritis. Objective: This study aimed to estimate the adherence to methotrexate in patients with rheumatoid arthritis and to identify specific non-adherence risk factors. Methods: A cross-sectional study included 111 patients (mean age 56.2 ± 10.6 years, 78.4% female, and mean disease duration 6 years (3-13)). Three adherence self-assessment questionnaires were used: the Compliance-Questionnaire-Rheumatology (CQR19), the Medication Adherence Reports Scale (MARS-5), and the Visual Analogue Scale (VAS). We also collected demographic data, disease and treatment characteristics, and anxiety/depression estimation results (Hospital Anxiety and Depression Scale, HADS). Results: Adherence was identified in 48.6% of patients (COR19), 70.3% of patients (MARS-5), and 82.9% of patients (VAS questionnaire). All three questionnaires displayed a significant positive mutual correlation: CQR19 with MARS-5 and VAS (r = 0.364, r = 0.329, respectively, p < 0.001 for both) and between the VAS and MARS-5 scores (r = 0.496, p < 0.001). A significant positive prediction was shown for urban residence (0.347 (0.134-0.901), p = 0.030) using the MARS-5, female sex (0.264 (0.095-0.730), p = 0.010) according to the CQR19, and for a dose of methotrexate (0.881 (0.783-0.992), p = 0.036) using the VAS, while negative predictions were shown for comorbidity number (3.062 (1.057-8.874), p = 0.039) and depression (1.142 (1.010-1.293), p = 0.035) using the MARS-5 and for older age (1.041 (1.003-1.081), p = 0.034) according to the CQR19. The use of steroids was a significant positive predictor in all three questionnaires and remained an independent predictor for methotrexate adherence in the multivariate logistic regression. Conclusions: We showed non-adherence to methotrexate in a significant number of patients using all three questionnaires. Concomitant steroid therapy emerged as an independent positive predictor for adherence.

Fatalistic beliefs, self-care, and HbA1c in Mexican men with type 2 diabetes mellitus: A cross-sectional study.

The aim of this study is to examine the relationship between fatalistic beliefs, self-care, and glycemic control among Mexican men with type 2 diabetes mellitus. This is a cross-sectional study in men diagnosed with type 2 diabetes mellitus from 18 to 59 years of age from the Northeast of Mexico. Fatalistic beliefs, self-care, medication adherence, and HbA1C were evaluated. Patients were divided into glycemic control (<7% HbA1c) and without glycemic control (>7% HbA1c). Tests were performed to compare 2 independent groups, Student's t and U Mann Whitney. Correlation tests and multiple linear regression models were also performed. For statistical analysis, the SPSS v27 program was used. Forty-nine percent of the men had glycemic control (<7% HbA1c). Fatalistic beliefs were negatively correlated with self-care and medication adherence, but not with HbA1c. In multiple linear regression models, fatalistic beliefs were a negative predictor of self-care and medication adherence. In the model for HbA1c, the pessimism subdimension and self-care were the predictors. Fatalistic beliefs negatively affect self-care compliance and medication adherence, while the pessimism subdimension was related to the increase in HbA1c.

Public knowledge, attitudes, and practices during the first wave of COVID-19 in Indonesia.

The COVID-19 pandemic became a global emergency, and it is vital to understand the knowledge, attitudes, and practices of populations regarding this disease to prevent its spread. The study aimed to investigate the knowledge, attitudes, and practices of the Indonesian public toward COVID-19. An observational study was conducted in Indonesia between November 2020 and January 2021. The study employed a validated questionnaire with 391 respondents to the survey. A comparative analysis was performed to assess the mean differences in respondents' characteristics in terms of their knowledge, attitude, and practice scores. Furthermore, regression analysis was used to investigate those factors associated with the good practice of health protocols during the COVID-19 pandemic. The findings showed significant differences in the average knowledge scores across gender, geographical location, and educational attainment. Furthermore, significant differences in practices were identified in terms of gender and educational attainment. The findings of the study indicate that the participants demonstrated a significant awareness of COVID-19, as evidenced by their high mean knowledge score of 17.83 ± 1.74 out of a possible total score of 22 points. The results indicate that the respondents exhibited a positive attitude toward COVID-19 prevention measures, as evidenced by an attitude score of 26.95 ± 3.14 out of a possible total score of 30 points. Additionally, the mean score for good practice in health protocols aimed at reducing COVID-19 infection was found to be high (4.23 ± 0.96) at 5 points. This suggests that the study participants had already adopted effective measures to comply with the recommended health guidelines. The results of the regression analysis indicated that gender, level of education, and knowledge were statistically significant predictors for adherence to health protocols during the COVID-19 pandemic (p < 0.05). The aforementioned results offer significant perspectives into the populace's comprehension, disposition, and conduct regarding COVID-19 in Indonesia. These insights could potentially contribute to the formulation of efficacious measures aimed at curtailing transmission of the virus.

Association between body mass index and treatment completion in extended-release naltrexone-treated patients with opioid dependence.

Excessive consumption of opioids is associated with impaired metabolic function including increased body mass index (BMI). Opioid antagonist naltrexone (NTX) is an effective treatment for opioid use disorder (OUD) that has the potential to mitigate such metabolic disturbances. Understanding the relationship between treatment adherence and BMI in NTX-treated OUD patients may provide valuable insights into optimizing clinical outcomes. Patients with opioid dependence were offered up to three monthly injections of extended-release (XR) NTX. Treatment completers (n = 41) were defined as those who had received all three XR-NTX injections, and non-completers (n = 20) as those missing at least one injection. Logistic regression was performed to examine the association between pre-treatment BMI and treatment completion. BMI was positively associated with treatment completion. This association remained significant after adjusting for potentially confounding variables. Our findings suggest that baseline BMI may serve as a potential predictor of XR-NTX treatment adherence in patients with OUD and could help healthcare providers and policy makers alike in developing strategies to improve retention and tailor interventions for specific patient subgroups.

Predictors of Viral Load and Medication Adherence Among HIV-Positive Adults Under Treatment at Felege-Hiwot Comprehensive Specialized Hospital, North-West, Ethiopia.

Maintaining good medication adherence and decreasing viral load in patients living with HIV/AIDS are critical to ensuring antiretroviral therapy's preventive and therapeutic benefits. The main objective of this study was to assess the predictors of viral load and medication adherence among HIV-positive adults under treatment at Felege Hiwot Comprehensive Specialized Hospital (FHCSH). A retrospective cohort study design was conducted from a random sample of 281 adult HIV-infected patients under treatment at FHCSH in northwest Ethiopia from June 2017 to June 2021. Separate GLMM was used in analysis of viral load and medication adherence, and joint mode was applied to fit those two outcomes jointly. The potential correlation of those two outcomes was linked by random intercepts. Information criteria (AIC and BIC) were used for model comparison and covariance structure selection. The small standard error of significant predictors and significant correlation between viral load and medication adherence over time provide evidence for joint model selection. The correlation between viral load and medication adherence was -0.7688 (P-value=< 0.05), which indicates that the decrement of viral load tends to increase good medication adherence. Patient substance use, visit time, baseline CD4 cell, baseline hemoglobin, and the interaction of visit time by substance use were significantly associated with viral load and medication adherence jointly. The study revealed that substance user adult patients, patients with low baseline CD4 cells, and patients with low baseline hemoglobin were with high viral loads and poor medication adherence. Therefore, health officials and other concerned bodies should give special attention and high intervention to patients with low baseline hemoglobin; poor adherence and low baseline CD4 cell count.

Three-year COVID-19 and flu vaccinations among medical residents in a tertiary hospital in Italy: The threat of acceptance decline in seasonal campaigns

ABSTRACT The COVID-19 vaccination campaign in Italy started in December 2020, and, due to the Omicron variant’s emergence, a second booster dose was recommended for high-risk individuals and healthcare workers from July 2022. The aim of the study was to evaluate the vaccination coverages for the COVID-19 second booster dose and to identify predictors of its acceptance within the population of medical residents (MRs) of the Fondazione Policlinico Universitario “A. Gemelli” IRCCS (FPG) University Hospital. The study was conducted at FPG from October 4th to December 21st, 2022, and COVID-19 second booster dose and influenza vaccines were administered. The study analyzed collected data and conducted multivariate logistic regressions to explore potential predictors of vaccination adherence. The analyses performed were compared with the sample enrolled in FPG residency programs at the start of the COVID-19 vaccination campaign. 1968 MRs were involved in the 2022–2023 vaccination campaign (mean age 28.97, SD 3.44), and the second booster dose of COVID-19 vaccination coverage was low (18.80%). Almost all participants opted for co-administration of COVID-19 and influenza vaccinations, leading to a similar rate of influenza vaccination coverage (16.26%). Being a frontline resident, meaning a direct involvement in managing COVID-19 patients and vaccination campaigns, was the main predictor of vaccination adherence (OR 1.72, 95% CI 1.25–2.17). The dropping in influenza vaccination coverage in 2022–2023 and the low adherence to COVID-19 second booster dose among young physicians is concerning, calling for tailored vaccination campaigns and interventions.

Examining the relationship between depression and medication adherence among elderlies suffering from cardiovascular disease referring to the clinics affiliated with Kermanshah Universityof Medical Sciences: A cross-sectional study.

In recent years, around 30% of all mortalities worldwide has been related to cardiovascular disease (CVD).The most important predictor solution of cardiovascular events is enhancing medication adherence. Meanwhile, the main reason behind development of physical disorders among the elderlyis depression. In this regard, the present research was performed to determine the relationship between depression and medication adherence among the elderlysuffering from CVD. A cross-sectional study was done via an analytical approach on 188 elderlies fulfilling the inclusion criteria. The participants were chosen through convenience nonrandomized sampling from March to July 2022. The data were collected through demographic and healthcare information form plus Madanloo chronic disease medication adherence and geriatric depression scale. The analysis of the data was done by SPSS 26 plus Stata 14.2. The mean depression score was 5.6(4.3) and the mean score of medication adherence in the elderlies was 168.03(23.85). The prevalence of depression was higher in women than in men (p = 0.015), and the elderlies differing from heart failure reported the minimum extent of medication adherence. The findings obtained from analysis of variance showed that age, level of education, and monthly level of income were among the effective demographic factors in the extent of depression and medication adherence (p < 0.05). Meanwhile, 26% of changes in medication adherence can be attributed to depression. Further, the results of the multiple linear regression model reported that depression, age, and polypharmacy are among the predictors of medication adherence. A weak to moderate relationship existed between depression and medication adherence among these elderlies. Given the growing elderly population, the importanceof depression, and lack of medication adherence in incidence of CVD events, it is recommended to train the healthcare team tomonitorthe elderlyregarding depression symptoms.