老年心理健康多领域综合干预研究前后测行为学数据
收藏国家青藏高原科学数据中心2023-09-19 更新2024-03-01 收录
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https://data.tpdc.ac.cn/zh-hans/data/3b5ba8db-0d06-4f33-8885-184b3266fe38
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1.1 数据概述 本数据集为老年心理健康综合干预方案的干预技术效果验证数据,主要包含了参与干预研究被试的人口学资料和基本信息以及前测、后测和追踪时各项认知功能、情绪和社会网络指标的数据。1.2 内容描述 本数据集中的前测数据收集时间为2020年8月-2020年12月;后测数据收集时间为2021年6月-2021年8月;追踪数据收集时间为2022年6月-2022年8月。数据收集地点为北京市朝阳区社区,收集对象为社区内60-80岁老年人。
1.3 目录结构描述 所有数据被储存在一个同名Excel文件中,一张数据表,同时包含被试的人口学信息和前测、后测和追踪的认知、情绪和社会网络指标的数据。
1.4 文件描述 数据显示模式为长数据模式,即每一条数据为每一个被试一个时间点的数据,所有数据均为数值变量,缺失数据的表示为“#NULL!”。“Subj”为随机产生的被试编号,“Retain”为被试流失状况,“ITT_Analysis”为被试纳入分析情况,“Gender”为被试性别,“EduYear”为受教育年数,“Edulevel”为被试受教育水平,“Age”为被试基线年龄,“Group”为被试被随机分配到的干预组别。之后的变量为被试的基线情况,包括Apoe基因型,基本身体情况,生活方式情况,以及基线认知功能、情绪和社会网络指标情况。“Time”为时间点信息,分别为“1=前测”,“2=后测”,“3=追踪”。之后的变量为每个被试每个时间点所被评估的认知功能、情绪和社会网络指标的标准化Z分数。
1.1 Data Overview
This dataset is used to validate the technical efficacy of comprehensive mental health intervention programs for older adults. It mainly includes demographic data and basic personal information of subjects enrolled in the intervention study, as well as data on various cognitive function, emotional state and social network indicators collected at pre-test, post-test and follow-up stages.
1.2 Content Description
The pre-test data of this dataset was collected from August 2020 to December 2020; the post-test data was collected from June 2021 to August 2021; and the follow-up data was collected from June 2022 to August 2022. Data collection was conducted in communities within Chaoyang District, Beijing, targeting elderly individuals aged 60 to 80 years old residing in these communities.
1.3 Directory Structure Description
All data is stored in an Excel file with the same name as the dataset, which contains a single worksheet integrating both the demographic information of the subjects and the data on cognitive, emotional and social network indicators from pre-test, post-test and follow-up assessments.
1.4 File Description
The data is organized in long-format structure, where each row corresponds to data for one subject at one specific time point. All variables are numerical, and missing data is denoted by "#NULL!".
"Subj" refers to the randomly generated subject ID; "Retain" indicates the attrition status of the subject; "ITT_Analysis" denotes whether the subject was included in the intention-to-treat analysis; "Gender" represents the subject's gender; "EduYear" is the number of years of formal education completed by the subject; "Edulevel" denotes the subject's educational attainment; "Age" is the subject's baseline age; "Group" indicates the intervention group to which the subject was randomly assigned.
The subsequent variables cover the subject's baseline characteristics, including Apoe genotype, basic physical health status, lifestyle factors, as well as baseline cognitive function, emotional state and social network indicators. "Time" encodes the assessment time point, with coding rules: "1=pre-test", "2=post-test", "3=follow-up". The remaining variables are the standardized Z-scores of cognitive function, emotional state and social network indicators evaluated for each subject at each corresponding time point.
提供机构:
刘笑梅
创建时间:
2023-09-18
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集为老年心理健康多领域综合干预研究的前后测行为学数据,包含北京市朝阳区60-80岁老年人在2020-2022年间的认知、情绪和社会网络指标数据,适用于SPSS或R语言分析。
以上内容由遇见数据集搜集并总结生成



