神经精神病症状对流行率的描述性统计分析
Timofey L Galankin1, Jina Swartz1, Hans J Moebius1
1EXCIVA, Heidelberg, Germany.
Journal of geriatric psychiatry and neurology
|May 13, 2025
概括
痴呆症中的神经精神症状 (NPS) 通常以不可预测的方式同时发生. 了解这些症状对对于痴呆症的护理和研究至关重要,特别是因为认知障碍增加了他们的患病率.
科学领域:
- 老年学是指老年学的学科.
- 神经学 神经学
- 精神病学是一个精神病学.
背景情况:
- 神经精神症状 (NPS) 在痴呆症中很普遍,对患者和护理人员造成重大痛苦.
- NPS通常同时发生,特别是在晚期痴呆阶段,影响疾病严重程度和治疗反应.
- 有限的定量数据存在于痴呆症人群中特定NPS组合的流行率.
研究的目的:
- 分析痴呆症中特定神经精神病症状对组合的流行率.
- 研究认知障碍与NPS对发生之间的关系.
- 为未来的临床研究和痴呆症流行病学研究提供参考数据NPS.
主要方法:
- 来自两个纵向研究的数据的横截面分析:衰老,人口统计和记忆研究 (ADAMS) 和国家阿尔茨海默氏症协调中心 (NACC).
- 在不同的迷你心理状态检查 (MMSE) 层中检查NPS的所有可能的对组合.
- 统计分析以确定症状对和认知状态之间的患病率和关联.
主要成果:
- 观察到所有可能的NPS对组合,包括预期的 (如幻觉和妄想) 和意想不到的 (如冷漠和兴奋) 模式.
- 症状对的患病率不能从单个症状的患病率可靠地预测.
- 增加的认知缺陷和损伤与所有NPS及其组合的更高患病率有关.
结论:
- 在痴呆症中,任何一种NPS的组合都可能发生,但从个体症状频率来看,它们的同时发生并不容易预测.
- 认知障碍显著影响NPS的患病率和它们的同时发生.
- 研究结果提供了有价值的参考数据,以指导未来痴呆症NPS研究的设计和招聘.
相关概念视频
01:23McNemar's Test
88
McNemar's Test is a nonparametric statistical test used to determine if there is a significant difference in proportions between two related groups when the outcome is binary (e.g., yes/no, success/failure). It is beneficial when we have paired data, such as pre-test/post-test designs, where the same subjects are measured under two different conditions. The test is named after the statistician Quinn McNemar, who introduced it in 1947. It is commonly used in situations where subjects are...
88
01:27Diagnostic and Statistical Manual of Mental Disorders (DSM)
27
The Diagnostic and Statistical Manual of Mental Disorders (DSM) serves as the primary classification system for mental health disorders, providing standardized diagnostic criteria for clinicians and researchers. First published by the American Psychiatric Association (APA) in 1952, the DSM has undergone several revisions to reflect evolving psychiatric understanding. The fifth edition, DSM-5, released in 2013, introduced key updates that expanded diagnostic categories and modified diagnostic...
27
01:17Sign Test for Matched Pairs
80
The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in...
To conduct the sign test, we first calculate the differences in...
80
01:08Prevalence and Incidence
261
In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
261
01:22Self-Report Tests of Personality
272
Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
272
01:24Testing a Claim about Population Proportion
3.2K
A complete procedure for testing a claim about a population proportion is provided here.
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
There are two methods of testing a claim about a population proportion: (1) Using the sample proportion from the data where a binomial distribution is approximated to the normal distribution and (2) Using the binomial probabilities calculated from the data.
The first method uses normal distribution as an approximation to the binomial distribution. The requirements are as follows: sample size is large...
3.2K