Database on Cognitive Impairment in Ecuadorian Adults: Application of the MoCA Test in its Mobile Version with Sociodemographic, Clinical, and Behavioral Variables
Description
Database Description The database contains information on 1203 records documenting the application of the MoCA (Montreal Cognitive Assessment) test in Ecuadorian adults, with the aim of assessing cognitive impairment and analyzing its relationship with various sociodemographic, clinical and behavioral variables. The main characteristics are described below: Variables Included The database is structured in the following columns: Occupation: Participants' employment classification (e.g., "Full-time employee", "Part-time employee"). Sex: Participant's gender (Male/Female). History: Relevant medical history information (e.g., hypertension, diabetes, psychiatric disorders, etc.). Residence: Type of place where the participant lives (Urban/Rural). Alcohol: Frequency of alcohol consumption (Never, Occasionally, Frequently). Tobacco: Frequency of tobacco use (Never, Occasional smoker, Ex-smoker). Physical activity: Level of physical activity (Sedentary, Light, Moderate, Intense). Years: Years of study completed by the participant. Time_minutes_seconds: Duration in minutes and seconds it took to complete the MoCA test. Cog_num: Numerical score obtained in the MoCA Test. Cog_ord: Ordinal rating of cognitive performance ("Performance Below Expected", "Performance Slightly Below Expected", etc.). Purpose The main purpose of this database is: To assess cognitive impairment in Ecuadorian adults using the MoCA Test. To analyze how sociodemographic (age, gender, occupation), clinical (medical history) and behavioral (physical activity, tobacco and alcohol consumption) factors are related to cognitive outcomes. Salient Features The database includes a wide variety of data that allow for descriptive and correlational analyses. The data were collected using the mobile version of the MoCA Test in Spanish, which ensures accuracy and standardization. The variable "Time_minutes_seconds" provides information on the duration of the test for each participant. Example Records A typical example in the database is: Possible Uses Identify patterns between cognitive impairment and variables such as physical activity or medical history. To develop strategies for the prevention of cognitive decline in specific populations. Generate scientific articles based on the data collected.
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Steps to reproduce
Cognitive (MoCA) in its mobile version, adapted and validated for use in Spanish. This digital adaptation allowed for more efficient administration, reduced transcription errors, and facilitated data collection in diverse geographic locations. The mobile application ensured that all participants received the same instructions and materials, minimized errors by recording responses directly in digital format, and allowed for immediate data collection and storage, thus facilitating geographic access in both urban and rural areas. The study focused on older adults aged 40 years and older living in Ecuador, selected through non-probabilistic convenience sampling. Participants were contacted through various channels and included those who gave their voluntary consent and were available to take the MoCA Test in its mobile version in Spanish. Those with severe communication difficulties were excluded. The team of interviewers, composed of two professors and two Psychology students, received training in the use of the MoCA mobile application and in the application of the test. During this training, the inclusion and exclusion criteria, how to approach the participants and the ethical management of the data were reviewed. The application of the MoCA test was carried out individually in quiet and distraction-free environments. Participants were initially contacted to explain the purpose of the study and to obtain their informed consent. Then, the standardized MoCA Test protocol was followed, using the mobile application to present the questions and record the answers. In addition to the test results, sociodemographic, clinical, and behavioral data were collected, as well as test time in minutes and seconds. Finally, the data were securely stored in a digital database in CSV format. Responses were coded to standardize ordinal and numerical categories, and data quality was checked to eliminate inconsistencies or missing values.