Alexander Weiss, Paul T Costa, Katherine A Collins, Leanna M Ross, Kim M Huffman, Ruth Q Wolever, Patrick J Smith, Elizabeth R Hauser, Rong Jiang, John M Jakicic, William E Kraus, Ilene C Siegler
{"title":"通过五因素模型的个性风格预测体育锻炼。","authors":"Alexander Weiss, Paul T Costa, Katherine A Collins, Leanna M Ross, Kim M Huffman, Ruth Q Wolever, Patrick J Smith, Elizabeth R Hauser, Rong Jiang, John M Jakicic, William E Kraus, Ilene C Siegler","doi":"10.1037/hea0001388","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>Low neuroticism, high extraversion, and high conscientiousness are related to physical activity (PA). We tested whether the small size and heterogeneity of these relationships result because personality traits influence one another as well as because some narrow facets rather than the broad domains contain more specific variance relevant to PA.</p><p><strong>Method: </strong>Participants were men and women enrolled in the University of North Carolina Alumni Heart Study who completed the Revised NEO Personality Inventory (NEO-PI-R) and reported their past month's average activity on an 8-point scale. In Study 1, we examined prospective correlations between the five NEO-PI-R domains and PA. In Studies 2 and 3, we used multinomial logistic regression to examine associations between PA and trait pair combinations (personality styles) controlling for age, sex, educational achievement, relationship status, and depression.</p><p><strong>Results: </strong>Study 1 revealed that lower neuroticism (N) and agreeableness (A) and higher conscientiousness (C) predicted more PA. Taken together, Studies 2 and 3 found that the combination of high Extraversion (E) and high openness (O) was related to higher PA and that combinations of low E and high A and low E and low C were related to lower PA. Study 3, which examined the activity facet of E (E4), found that E4 is an important driver of E-PA associations.</p><p><strong>Conclusions: </strong>Personality traits do not operate in isolation. They may influence how other traits are expressed and such nonadditive effects can impact PA. Assessment of personality styles could help to identify individuals at risk for PA avoidance and may be useful for developing personalized interventions. (PsycInfo Database Record (c) 2024 APA, all rights reserved).</p>","PeriodicalId":3,"journal":{"name":"ACS Applied Electronic Materials","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting physical activity by the personality styles of the five-factor model.\",\"authors\":\"Alexander Weiss, Paul T Costa, Katherine A Collins, Leanna M Ross, Kim M Huffman, Ruth Q Wolever, Patrick J Smith, Elizabeth R Hauser, Rong Jiang, John M Jakicic, William E Kraus, Ilene C Siegler\",\"doi\":\"10.1037/hea0001388\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Low neuroticism, high extraversion, and high conscientiousness are related to physical activity (PA). We tested whether the small size and heterogeneity of these relationships result because personality traits influence one another as well as because some narrow facets rather than the broad domains contain more specific variance relevant to PA.</p><p><strong>Method: </strong>Participants were men and women enrolled in the University of North Carolina Alumni Heart Study who completed the Revised NEO Personality Inventory (NEO-PI-R) and reported their past month's average activity on an 8-point scale. In Study 1, we examined prospective correlations between the five NEO-PI-R domains and PA. In Studies 2 and 3, we used multinomial logistic regression to examine associations between PA and trait pair combinations (personality styles) controlling for age, sex, educational achievement, relationship status, and depression.</p><p><strong>Results: </strong>Study 1 revealed that lower neuroticism (N) and agreeableness (A) and higher conscientiousness (C) predicted more PA. 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引用次数: 0
摘要
目的:低神经质、高外向性和高自觉性与体育锻炼(PA)有关:低神经质、高外向性和高自觉性与体育活动(PA)有关。我们测试了这些关系的小规模和异质性是否因为人格特质相互影响,以及是否因为一些狭义的方面而不是广义的领域包含更多与体育锻炼相关的特定变异:参与者为参加北卡罗来纳大学校友心脏研究的男性和女性,他们填写了修订版 NEO 人格问卷 (NEO-PI-R),并以 8 分制报告了他们过去一个月的平均活动量。在研究 1 中,我们考察了 NEO-PI-R 五个领域与 PA 之间的前瞻性相关性。在研究 2 和研究 3 中,我们使用多项式逻辑回归法考察了 PA 与特质对组合(人格风格)之间的关联,并对年龄、性别、教育成就、关系状况和抑郁进行了控制:研究 1 显示,较低的神经质(N)和宜人性(A)以及较高的自觉性(C)预示着更多的 PA。综合来看,研究 2 和研究 3 发现,高外向性(E)和高开放性(O)的组合与较高的活动量有关,而低 E 和高 A 以及低 E 和低 C 的组合与较低的活动量有关。研究 3 考察了 E 的活动方面(E4),发现 E4 是 E-PA 关联的重要驱动因素:结论:人格特质并不是孤立存在的。结论:人格特质并不是孤立存在的,它们可能会影响其他特质的表达方式,而这种非加成效应会对 PA 产生影响。对人格类型的评估有助于识别避免参加体育锻炼的高危人群,并有助于制定个性化的干预措施。(PsycInfo Database Record (c) 2024 APA,保留所有权利)。
Predicting physical activity by the personality styles of the five-factor model.
Objective: Low neuroticism, high extraversion, and high conscientiousness are related to physical activity (PA). We tested whether the small size and heterogeneity of these relationships result because personality traits influence one another as well as because some narrow facets rather than the broad domains contain more specific variance relevant to PA.
Method: Participants were men and women enrolled in the University of North Carolina Alumni Heart Study who completed the Revised NEO Personality Inventory (NEO-PI-R) and reported their past month's average activity on an 8-point scale. In Study 1, we examined prospective correlations between the five NEO-PI-R domains and PA. In Studies 2 and 3, we used multinomial logistic regression to examine associations between PA and trait pair combinations (personality styles) controlling for age, sex, educational achievement, relationship status, and depression.
Results: Study 1 revealed that lower neuroticism (N) and agreeableness (A) and higher conscientiousness (C) predicted more PA. Taken together, Studies 2 and 3 found that the combination of high Extraversion (E) and high openness (O) was related to higher PA and that combinations of low E and high A and low E and low C were related to lower PA. Study 3, which examined the activity facet of E (E4), found that E4 is an important driver of E-PA associations.
Conclusions: Personality traits do not operate in isolation. They may influence how other traits are expressed and such nonadditive effects can impact PA. Assessment of personality styles could help to identify individuals at risk for PA avoidance and may be useful for developing personalized interventions. (PsycInfo Database Record (c) 2024 APA, all rights reserved).