Sun Hongyi, Carr Hannah, Garcia-Argibay Miguel, Cortese Samuele, Solmi Marco, Golm Dennis, Brandt Valerie
Centre for Innovation in Mental Health, School of Psychology, University of Southampton, Southampton, UK.
School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden.
Psychol Med. 2025 Mar 11;55:e78. doi: 10.1017/S0033291725000522.
It is unknown whether there is a general factor that accounts for the propensity for both physical and mental conditions in different age groups and how it is associated with lifestyle and well-being.
We analyzed health conditions data from the Millennium Cohort Study (MCS) (age = 17; N = 19,239), the National Child Development Study (NCDS) (age = 44; N = 9293), and the English Longitudinal Study of Ageing (ELSA) (age ≥ 50; N = 7585). The fit of three Confirmatory Factor models was used to select the optimal solution by Comparative Fit Index, Tucker-Lewis Index, and Root Mean Square Error of Approximation. The relationship among factor, lifestyles, and well-being was further explored.
Supporting the existence of the factor, the bi-factor model showed the best model fit in 17-year-olds (MCS:CFI = 0.97, TFI = 0.96, RMSEA = 0.01), 44-year-olds (NCDS:CFI = 0.96, TFI = 0.95, RMSEA = 0.02), and 50+ year-olds (ELSA:CFI = 0.97, TFI = 0.96, RMSEA = 0.02). The factor scores significantly correlated with lifestyle and well-being, suggesting healthier lifestyles were associated with a reduced likelihood of physical and mental health comorbidities, which in turn improved well-being.
Contrary to the traditional dichotomy between mental and physical conditions, our study showed a general factor underlying the comorbidity across mental and physical diseases, related to lifestyle and well-being. Our results inform the conceptualization of mental and physical illness as well as future research assessing risk and pathways of disease transmission, intervention, and prevention. Our results also provide a strong rationale for a systematic screening for mental disorders in individuals with physical conditions and vice versa, and for integrated services addressing multimorbidity.
尚不清楚是否存在一个综合因素可以解释不同年龄组身心状况的倾向，以及它与生活方式和幸福感是如何关联的。
我们分析了千禧队列研究（MCS）（年龄 = 17岁；N = 19239）、全国儿童发展研究（NCDS）（年龄 = 44岁；N = 9293）以及英国老龄化纵向研究（ELSA）（年龄≥50岁；N = 7585）的健康状况数据。通过比较拟合指数、塔克-刘易斯指数和近似均方根误差，使用三种验证性因素模型的拟合度来选择最优解。进一步探讨了因素、生活方式和幸福感之间的关系。
双因素模型支持该因素的存在，在17岁人群（MCS：CFI = 0.97，TFI = 0.96，RMSEA = 0.01）、44岁人群（NCDS：CFI = 0.96，TFI = .......
