Allen Sarah F, Wetherell Mark A, Smith Michael A
a Faculty of Health and Life Sciences, Department of Psychology , Northumbria University , Newcastle upon Tyne , UK.
b Faculty of Medicine, Dentistry and Health Sciences , University of Western Australia , Perth , Australia.
Psychol Health. 2017 May;32(5):567-587. doi: 10.1080/08870446.2017.1290237. Epub 2017 Feb 17.
The present study aimed to investigate the factor structure and psychometric properties of the Cohen-Hoberman inventory of physical symptoms (CHIPS). Construct and discriminant validity were examined by assessing associations between factors and subjective health complaints (SHC) inventory subscales in addition to measures of pain sensitivity, perceived stress and psychological distress.
A cross-sectional online survey was conducted with 535 healthy individuals from the general population (80.6% female, mean age = 29.80).
Participants completed CHIPS, SHC, perceived stress scale, pain sensitivity questionnaire, and hospital anxiety and depression scale.
Principal components analysis demonstrated that CHIPS comprised 8 'symptoms' factors as follows; 'sympathetic/cardiac' (7 items; α = .827), 'muscular' (6 items; α = .752), 'metabolic' (5 items; α = .736), 'gastrointestinal' (5 items; α = .714), 'vasovagal' (4 items; α = .743), 'cold/flu' (2 items; α = .837), 'headache' (2 items; α = .690) and 'minor haemorrhagic' (2 items; α = .309). Significant correlations were observed between factors and SHC subscales (moderate-high), pain sensitivity (negligible-low) and levels of perceived stress and anxiety (low-moderate) indicating good construct, and discriminant validity, respectively.
CHIPS is a multidimensional and internally consistent measurement of physical symptoms. The postulated factor structure may be used for research purposes particularly in health psychology, to consistently differentiate between clusters of self-reported symptoms.
本研究旨在调查科恩 - 霍伯曼身体症状量表（CHIPS）的因子结构和心理测量特性。通过评估各因子与主观健康投诉（SHC）量表各子量表之间的关联，以及疼痛敏感性、感知压力和心理困扰的测量指标，来检验结构效度和区分效度。
对535名来自普通人群的健康个体进行了横断面在线调查（女性占80.6%，平均年龄 = 29.80岁）。
参与者完成了CHIPS量表、SHC量表、感知压力量表、疼痛敏感性问卷以及医院焦虑抑郁量表。
主成分分析表明，CHIPS包含8个“症状”因子，分别为：“交感神经/心脏”（7项；α = 0.827）、“肌肉”（6项；α = 0.752）、“代谢”（5项；α = 0.736）、“胃肠道”（5项；α = 0.714）、“血管迷走性”（4项；α = 0.743）、“感冒/流感”（2项；α = 0.837）、“头痛”（2项；α = 0.690）和“轻微出血”（2项；α = 0.309）。各因子与SHC子量表（中 - 高）、疼痛敏感性（可忽略 - 低）以及感知压力和焦虑水平（低 - 中）之间存在显著相关性，分别表明具有良好的结构效度和区分效度。
CHIPS是一种多维且内部一致的身体症状测量工具。假定的因子结构可用于研究目的，特别是在健康心理学领域，以持续区分自我报告症状的不同类别。
