Institute for Research, Development and Innovation (IRDI), International Medical University, Kuala Lumpur, Malaysia; Department of Metabolism, Digestion and Reproduction, Division of Diabetes, Endocrinology, and Metabolism, Faculty of Medicine, Imperial College London, United Kingdom; Department of Life Sciences, College of Health, Medicine and Life Sciences, Brunel University London, United Kingdom.
Research Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland; Unit of Primary Health Care and Medical Research Center, Oulu University Hospital, Oulu, Finland.
J Affect Disord. 2023 Jun 15;331:1-7. doi: 10.1016/j.jad.2023.03.026. Epub 2023 Mar 16.
The fact that a complex relationship exists between alexithymia and body mass index (BMI) is well established, but the underlying mechanisms remain poorly understood. Here, we explore the relationship between alexithymia and depressive symptoms in relation to adiposity measures, including the direct and indirect effect of alexithymia and depressive symptoms on obesity over a 15-year time-period, in the Northern Finland Birth Cohort 1966 (NFBC1966).
The study included individuals from the Northern Finland Birth Cohort 1966 (NFBC1966) who had available data for adiposity measures (body mass index and waist-to-hip ratio), alexithymia (measured by the 20-Item Toronto Alexithymia Scale: TAS-20), depressive symptoms (measured by the 13-item depression subscale of Hopkins Symptom Checklist: HSCL-13) at age of 31 years (n = 4773) and 46 years (n = 4431). Pearson's (r) correlation, and multiple linear regression were used to investigate the relationships between alexithymia, depressive symptoms, and adiposity measures. The potential mediating role of depressive symptoms was examined via Hayes' procedure (PROCESS).
Positive correlations were confirmed between adiposity measures (BMI and WHR) and the TAS-20 score (and its subscale), but not between obesity and HSCL-13 score. The strongest correlation was between the DIF (difficulty identifying feelings) subscale of the TAS-20 and HSCL-13 at both time points (31 y: r = 0.41, p < 0.01, 46 y: r = 0.43, p < 0.01). Depressive symptoms completely (z = 2.55 (±0.00003), p = 0.01) and partly (z = 2.16 (±0.0001), p = 0.03) mediated the alexithymia-obesity relationship over the 15-year time-period.
Other psychological and environmental factors such as interoception, dietary intake and physical activities may also play a role as a potential mediating factor in alexithymia-obesity relationship.
Our findings provide additional insights of theoretical framework of depressive symptoms mediation effect in the relationship between alexithymia and obesity. Alexithymia and depression should, therefore, be considered in the design of future clinical obesity research.
情绪识别障碍与体重指数(BMI)之间存在复杂关系,这一事实已得到充分证实,但潜在机制仍知之甚少。在这里,我们在北芬兰 1966 年出生队列(NFBC1966)中探讨了情绪识别障碍与抑郁症状与肥胖之间的关系,包括情绪识别障碍和抑郁症状在 15 年时间内对肥胖的直接和间接影响。
本研究纳入了北芬兰 1966 年出生队列(NFBC1966)的个体,这些个体具有肥胖测量指标(体重指数和腰臀比)、情绪识别障碍(通过 20 项多伦多情绪识别障碍量表:TAS-20 测量)、抑郁症状(通过 13 项汉普顿症状清单抑郁子量表:HSCL-13 测量)的数据,这些数据是在 31 岁(n=4773)和 46 岁(n=4431)时收集的。使用 Pearson(r)相关系数和多元线性回归来研究情绪识别障碍、抑郁症状和肥胖测量指标之间的关系。通过 Hayes 程序(PROCESS)检验抑郁症状的潜在中介作用。
肥胖测量指标(BMI 和 WHR)与 TAS-20 评分(及其子量表)之间存在正相关,但肥胖与 HSCL-13 评分之间不存在正相关。TAS-20 的 DIF(识别困难)子量表与 HSCL-13 在两个时间点的相关性最强(31 岁:r=0.41,p<0.01,46 岁:r=0.43,p<0.01)。抑郁症状完全(z=2.55(±0.00003),p=0.01)和部分(z=2.16(±0.0001),p=0.03)介导了情绪识别障碍与肥胖之间的 15 年时间关系。
其他心理和环境因素,如内脏感知、饮食摄入和体育活动,也可能作为情绪识别障碍与肥胖关系的潜在中介因素发挥作用。
我们的研究结果为抑郁症状中介效应的理论框架提供了新的见解,为情绪识别障碍与肥胖之间的关系提供了新的见解。因此,在未来的临床肥胖研究中应考虑情绪识别障碍和抑郁。