One-Year Trajectory of Cognitive Changes in Patients With Late-life Depression in the Short Term

June 19, 2024 updated by: Zhu Ziping, Fujian Medical University

One-Year Trajectory of Cognitive Changes in Patients With Late-life Depression in the Short Term: A Longitudinal Cohort Study

The purpose of this study was to investigate the one-year trajectory of cognitive change in elderly patients with depression, to explore the transfer characteristics and transfer rules of various states of cognitive impairment in patients, to predict the relevant risk factors of cognitive decline, and to find possible influencing factors affecting state change, so as to provide a theoretical basis and reference for subsequent targeted intervention research on geriatric depression.

Study Overview

Status

Recruiting

Detailed Description

The 1-year prospective longitudinal study involved 400(prospective)subjects who met criteria for geriatric depression,the whole cognitive function was assessed by mini-mental state examination(MMSE),Montreal cognitive assessment scale-MOCA)and subjective cognitive decline scale(SCD-9).Cognitive function was monitored at 6 and 12 months.GAIN factors related to cognitive function(e.g.,age,gender,education,cognitive function,anxiety level,sleep,social support,resilience,social networks,etc.).By studying the longitudinal changes of cognitive function in the elderly patients with depression,a time-discrete and state-discrete multistate Markov model was constructed,namely,state 1(normal cognitive, NC),state 2(subjective cognitive decline, SCD),State 3(mild cognitive decline,MCI) and State 4(Alzheimer's disease,AD).In-depth analysis of some factors and indicators on the impact of the transfer between the states, the transfer between the states estimated probability.

Study Type

Observational

Enrollment (Estimated)

400

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Fujian
      • Fuzhou, Fujian, China, 350100
        • Recruiting
        • Fujian Medial University
        • Contact:
        • Principal Investigator:
          • Ziping Zhu

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

Elderly patients with depression who met the inclusion and exclusion criteria were selected from a number of nursing facilities, hospitals and communities

Description

Inclusion Criteria:

  1. meeting the criteria for major depression in the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5)
  2. age at first onset ≥60 years
  3. Informed consent

Exclusion Criteria:

  1. Relevant past history affecting cognitive function: various types of stroke, traumatic brain injury, severe brain atrophy, mental abnormalities
  2. Perennial alcohol addiction, or long-term use of various drugs that affect mental state
  3. Survival time of malignant tumors and tumors
  4. Patients with language, vision, and hearing impairments

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Montreal cognitive assessment scale (MoCA)
Time Frame: 2023.6.1-2024.8.1
The Changsha version of the MoCA questionnaire was used in this study, which included eight cognitive assessments of visuospatial and executive functions, naming, memory, attention, speech, abstraction, delayed recall, and orientation, with a total score of 30, with higher scores indicating better cognitive functioning.
2023.6.1-2024.8.1
Subjective cognitive decline questionnaire (SCD questionnaire 9, SCD-9)
Time Frame: 2023.6.1-2024.8.1
The SCD-9 is mainly used to distinguish between normal people and SCD patients. The scale mainly consists of 2 dimensions, i.e., overall memory ability and time comparison (4 entries) and daily activity ability (5 entries), with a total of 9 entries, and the total scale score ranges from 0 to 9, with higher scores indicating a more severe degree of SCD.
2023.6.1-2024.8.1

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Activities of Daily Living (ADL)
Time Frame: 2023.6.1-2024.8.1
The Activities of Daily Living (ADL) scale adopts a Liket four level rating. The evaluation results can be analyzed based on total score, dimension score, and individual score. A total score of 20 is considered completely normal, while a score above 20 indicates varying degrees of functional decline. A score of 1 for each item indicates normal functionality, while a score of 2-4 indicates decreased functionality.
2023.6.1-2024.8.1
general information
Time Frame: 2023.6.1-2024.8.1
Using a self-made general information scale, such as age, gender, education level, and other basic personal information
2023.6.1-2024.8.1
Self Rating Anxiety Scale (SAS)
Time Frame: 2023.6.1-2024.8.1
The Self Rating Anxiety Scale (SAS) has a total of 20 items, of which 5, 9, 13, 17, and 19 items are scored in reverse. The scale adopts a 1-4 level scoring method (1 point for no or very little time; 2 points for a small portion of time; 3 points for a considerable amount of time; 4 points for the vast majority or all of time). Individuals fill in the scale based on their own situation in the most recent week, multiply the calculated total score by 1.25, take an integer as the standard score, and use it as a statistical indicator. The higher the standard score, the more severe the anxiety level of the individual.
2023.6.1-2024.8.1
Social Support Rating Scale (SSRS)
Time Frame: 2023.6.1-2024.8.1
The Social Support Rating Scale (SSRS) includes three dimensions: objective support, subjective support, and support utilization, with a total of 10 items: 1 point (none) to 4 points (full support). The higher the score in each dimension, the more support received.
2023.6.1-2024.8.1
Lubben Social Network Scale (LSNS-6)
Time Frame: 2023.6.1-2024.8.1
The Lubben Social Network Scale (LSNS-6) is used to measure the structural characteristics of individual family and friend networks, as well as the supporting functions played by the network, in order to reflect the social network level of the respondents. It consists of two parts: the home network and the friend network, each with three items, totaling six items. Each entry has 5 options, with a score of 0-5 points and a total score of 0-30 points. The higher the score, the higher the level of social network, and<12 points indicates insufficient social network.
2023.6.1-2024.8.1
Pittsburgh Sleep Quality Index (PSQI)
Time Frame: 2023.6.1-2024.8.1
The Pittsburgh Sleep Quality Index (PSQI) has a total of 19 items, divided into 7 components: subjective sleep quality, time to fall asleep, sleep time, sleep efficiency, sleep disorders, hypnotic drugs, and daytime function. The higher the total score, the worse the sleep quality.
2023.6.1-2024.8.1
Corner Davidson Resilience Scale (CDRISC)
Time Frame: 2023.6.1-2024.8.1
The Corner Davidson Resilience Scale (CDRISC) consists of 10 items and uses the Likert 5-point scoring system. A score of 0-4 indicates "never", "rarely", "sometimes", "often", and "always", with higher scores indicating higher levels of psychological resilience.
2023.6.1-2024.8.1
Geriatric Depression Scale (GDS-15)
Time Frame: 2023.6.1-2024.8.1
The Geriatric Depression Scale (GDS-15) is used to investigate the psychological feelings of patients in the past week. Result evaluation criteria: The total score range is 0-15 points, with higher scores indicating more severe depression. 1-5 points are subthreshold depression, 6-7 points are mild depression, 8-11 points are moderate depression, and 12-15 points are severe depression.
2023.6.1-2024.8.1

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Principal Investigator: Ziping Zhu, Fujian Medical University

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

June 1, 2023

Primary Completion (Estimated)

August 1, 2024

Study Completion (Estimated)

August 1, 2024

Study Registration Dates

First Submitted

February 24, 2024

First Submitted That Met QC Criteria

June 6, 2024

First Posted (Actual)

June 7, 2024

Study Record Updates

Last Update Posted (Actual)

June 24, 2024

Last Update Submitted That Met QC Criteria

June 19, 2024

Last Verified

June 1, 2024

More Information

Terms related to this study

Other Study ID Numbers

  • K2021-03-029

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

YES

IPD Plan Description

Participant characteristics (e.g. age, gender, etc.), medical history (e.g. history of diabetes, hypertension, etc.), clinical outcomes (e.g. death), participation of patients at each stage, loss to follow-up rate

IPD Sharing Time Frame

2025.6-2026.6

IPD Sharing Access Criteria

To obtain the data, you need to send an email address to the researcher himself

IPD Sharing Supporting Information Type

  • STUDY_PROTOCOL
  • SAP
  • ICF
  • ANALYTIC_CODE
  • CSR

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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