Université Catholique de Louvain, Clinic of Mont-Godinne, Belgium.
Psychiatr Danub. 2011 Sep;23 Suppl 1:S8-12.
To identify the social, family, personality traits and health locus of control factors which influence physical and mental health, consumption of medications, and frequency of medical consultations.
Twenty participants were included in a two years long longitudinal study. At baseline, the participants' age, gender, family composition, net income, chronic treatments, family dynamics (Family Adaptation and Cohesion Scale), Multidimensional Health Locus of Control, and personality (NEO Personality Inventory) were recorded. Every six months their state of mental and physical health (12 Survey Factors and Hamilton Depression Scale), consumption of medications, and number of medical consultations were reassessed.
Regarding mental, and physical health, and scores on the Hamilton Depression Scale we can explain 50% of the variance, of which 25% accounts for age or for the number of persons living together, 15% accounts for the cohesion of the actual couple or nuclear family and 10% on account for neuroticism or on the Internal HLC. With regard to the number of medications and consultations only 30% of the variance is accounted for: 10% for gender, 10% for the cohesion of the ideal family and 10% for neuroticism or extraversion.
These results can obviously be used in the field of secondary prevention, for example in raising GPs' awareness to the typical profile of patients who are at risk of mental or physical health problems. Ideally these results should also serve for primary prevention, but how can we influence demographic variables, family cohesion or personality?
确定影响身心健康、药物使用和就诊频率的社会、家庭、人格特质和健康控制源因素。
20 名参与者纳入一项为期两年的纵向研究。基线时,记录参与者的年龄、性别、家庭构成、净收入、慢性治疗、家庭动态(家庭适应性和凝聚力量表)、多维健康控制源以及人格(NEO 人格量表)。每六个月评估一次他们的身心状态(12 项调查因素和汉密尔顿抑郁量表)、药物使用和就诊次数。
在心理健康和身体健康以及汉密尔顿抑郁量表评分方面,我们可以解释 50%的方差,其中 25%归因于年龄或共同居住的人数,15%归因于实际夫妻或核心家庭的凝聚力,10%归因于神经质或内部 HLC。关于药物使用和就诊次数,只有 30%的方差可以解释:10%归因于性别,10%归因于理想家庭的凝聚力,10%归因于神经质或外向性。
这些结果显然可以在二级预防领域中应用,例如提高全科医生对有身心问题风险患者的典型特征的认识。理想情况下,这些结果也应适用于初级预防,但我们如何影响人口统计学变量、家庭凝聚力或人格呢?