Czerwiński Stanisław K, Atroszko Paweł A, Konarski Roman
Institute of Psychology, University of Gdansk, Gdansk, Poland.
Health Psychol Rep. 2024 Aug 13;13(1):39-54. doi: 10.5114/hpr/187337. eCollection 2025.
Despite intelligence being generally related to better mental health, individuals with extremely high levels of intelligence (also often referred to as gifted) are frequently viewed to be socially maladjusted, emotionally unstable, and eccentric. Although this view has existed for decades, the scientific data on this subject are highly inconsistent and suffer from several methodological limitations.
In this study, to test whether the relationship between general intelligence and general mental health is nonlinear in such a way that at extreme values of intelligence the relationship turns from positive to negative the data from eight waves of the 1970 British Cohort Study (BCS70) were used ( range from 2,870 to 7,984), with intelligence being assessed at age 10, and mental health being assessed with several different measures at ages 16, 26, 30, 34, 42, 46 and 50. Quadratic regression, as well as spline regression, which divides the dataset into intervals, creates a separate regression for each interval and then smooths out the breakpoints, was used for analyses.
The results showed that the nonlinear models generally fit the data better than the corresponding linear models.
At high values of intelligence, individuals might begin to experience unique issues affecting their mental health, despite their mental health being at potentially the same or higher level than those with average intelligence. Intellectually gifted individuals have a large potential to have a positive impact on the functioning of the whole society. Recognizing and understanding their problems may prove to be of great importance.
尽管智力通常与更好的心理健康相关,但智力水平极高的个体(通常也被称为天才)常常被认为在社交方面适应不良、情绪不稳定且行为古怪。尽管这种观点已经存在了几十年,但关于这个主题的科学数据高度不一致,并且存在若干方法学上的局限性。
在本研究中,为了检验一般智力与一般心理健康之间的关系是否呈非线性,即智力处于极端值时这种关系会从正向转为负向,我们使用了1970年英国队列研究(BCS70)八轮的数据(范围从2870到7984),其中智力在10岁时进行评估,心理健康在16岁、26岁、30岁、34岁、42岁、46岁和50岁时用几种不同的测量方法进行评估。分析采用了二次回归以及样条回归,样条回归将数据集划分为区间,为每个区间创建单独的回归,然后平滑断点。
结果表明,非线性模型通常比相应的线性模型更能拟合数据。
在智力水平较高时,个体可能开始经历影响其心理健康的独特问题,尽管他们的心理健康水平可能与平均智力水平的个体相同或更高。高智商个体对整个社会的功能有很大的积极影响潜力。认识并理解他们的问题可能非常重要。