Biomaterial Database

Predicting mental health problems in general practitioners. 1994

R Chambers, and J Belcher

Centre for Primary Health Care, University of Keele, Stoke-on-Trent, UK.

A total of 704 general practitioners completed questionnaires enquiring about mental health problems (response rate = 82.0%). Excessive anxiety was reported by 31.1%, troublesome depression by 13.4%, exhaustion or stress (on three or more weekdays) by 60.7%, and sleep difficulties by 47.6%. General practitioners aged 40-49 years old were most likely to report anxiety, exhaustion or stress, sexual and sleep difficulties. Retired doctors reported mental health problems markedly less often. Predictive factors for anxiety were depression, one or more nights on-call per week, and exhaustion or stress; predictive factors for depression were anxiety, and exhaustion or stress; predictive factors for exhaustion or stress were anxiety, depression, no hobbies, paperwork on three or more evenings per week, and sleep difficulties. Gender, country of origin, being single-handed, excessive alcohol consumption, and having no coping methods were not predictive factors for mental health problems.

UI	MeSH Term	Description	Entries
D008297	Male		Males
D008875	Middle Aged	An adult aged 45 - 64 years.	Middle Age
D010821	Physicians, Family	Those physicians who have completed the education requirements specified by the American Academy of Family Physicians.	Family Physician,Family Physicians,Physician, Family
D012044	Regression Analysis	Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable.	Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D005260	Female		Females
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328	Adult	A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available.	Adults
D000368	Aged	A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available.	Elderly
D001523	Mental Disorders	Psychiatric illness or diseases manifested by breakdowns in the adaptational process expressed primarily as abnormalities of thought, feeling, and behavior producing either distress or impairment of function.	Mental Illness,Psychiatric Diseases,Psychiatric Disorders,Psychiatric Illness,Behavior Disorders,Diagnosis, Psychiatric,Mental Disorders, Severe,Psychiatric Diagnosis,Illness, Mental,Mental Disorder,Mental Disorder, Severe,Mental Illnesses,Psychiatric Disease,Psychiatric Disorder,Psychiatric Illnesses,Severe Mental Disorder,Severe Mental Disorders
D012307	Risk Factors	An aspect of personal behavior or lifestyle, environmental exposure, inborn or inherited characteristic, which, based on epidemiological evidence, is known to be associated with a health-related condition considered important to prevent.	Health Correlates,Risk Factor Scores,Risk Scores,Social Risk Factors,Population at Risk,Populations at Risk,Correlates, Health,Factor, Risk,Factor, Social Risk,Factors, Social Risk,Risk Factor,Risk Factor Score,Risk Factor, Social,Risk Factors, Social,Risk Score,Score, Risk,Score, Risk Factor,Social Risk Factor