Relationship of wives' preventive health orientation to their beliefs about heart disease in husbands. 1977

W R Aho

Selected by area probability sampling, 199 wives residing in the city and county of Lebanon, Pennsylvania, were interviewed about their attitudes, opinions, beliefs, and behavior in respect to the role that wives can play in helping to prevent heart disease in husbands. After the "Don't know" respondents were eliminated, the remaining respondents were categorized into a continuum of low, medium, and high levels of preventive health orientation, according to how much of a role they believed wives could play in the prevention of heart disease in husbands. The orientations were then cross-tabulated with several variables in a health belief model (initially formulated by G. M. Hochbaum and associates and discussed in a monograph edited by M. H. Becker) and also with several sociodemographic variables. A substantial majority of the 187 wives expressed beliefs that wives could play some or very much of a role in preventing heart disease in husbands, that treatment for heart disease was effective, and that the disease was preventable. The majority indicated that they had not worried about their husbands getting heart disease. Magazines and television had been their main sources of information about the condition. Emphasis was placed on the wives who ranked low on the preventive health orientation continuum, since it is people like these who are of most concern to health educators and health care providers. Compared with the medium-ranked and high-ranked respondents, fewer of the low-ranked group (a) had ever suggested any health-related behavior to their husbands, (b) felt that their husbands were very susceptible to heart disease, or (c) believed that treatment was very effective. The majority of wives in the low group nevertheless considered heart disease to be a serious condition that would reduce a person's chances of living a normal life. With chi-square as a measure of statistical significance and Cramer's V as a measure of the strength of relationships, statistically significant support was found for the relationships between the wives' preventive health orientation and their perceptions of (a) the seriousness of heart disease, (b) their husband's susceptibility to it, (c) the effectiveness of treatment, and (d) the disease's preventability (all variables in the health belief model), as well as between the orientation and place of residence, years of education, and both the respondent's and husband's age. The relationships, however, were not very strong.

UI MeSH Term Description Entries
D008019 Life Style Typical way of life or manner of living characteristic of an individual or group. (From APA, Thesaurus of Psychological Index Terms, 8th ed) Lifestyle Factors,Life Style Induced Illness,Lifestyle,Factor, Lifestyle,Life Styles,Lifestyle Factor,Lifestyles
D008297 Male Males
D008393 Marriage The social institution involving legal and/or religious sanction whereby individuals are joined together. Marital Relationship,Arranged Marriage,Commonlaw Marriage,Consensual Union,Consummation of Marriage,Dowry,Husband-Wife Comparisons,Intermarriage,Marriage Age,Marriage Duration,Marriage Patterns,Marriage Postponement,Mate Selection,Multiple Marriages,Nuptiality,Polygamy,Polygyny,Remarriage,Same-Sex Marriage,Age, Marriage,Ages, Marriage,Arranged Marriages,Commonlaw Marriages,Comparison, Husband-Wife,Comparisons, Husband-Wife,Consensual Unions,Dowries,Duration, Marriage,Husband Wife Comparisons,Husband-Wife Comparison,Intermarriages,Marital Relationships,Marriage Ages,Marriage Consummation,Marriage Consummations,Marriage Pattern,Marriage Postponements,Marriage, Arranged,Marriage, Commonlaw,Marriage, Same-Sex,Marriages,Marriages, Arranged,Marriages, Commonlaw,Marriages, Multiple,Marriages, Same-Sex,Mate Selections,Postponement, Marriage,Postponements, Marriage,Relationship, Marital,Relationships, Marital,Remarriages,Same Sex Marriage,Same-Sex Marriages,Selection, Mate,Selections, Mate,Union, Consensual,Unions, Consensual
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D009017 Morbidity The proportion of patients with a particular disease during a given year per given unit of population. Morbidities
D010414 Pennsylvania State bounded on the north by New York and Lake Erie, on the east by Delaware and New Jersey, on the south by Delaware and Maryland, and on the west by Ohio and West Virginia.
D003327 Coronary Disease An imbalance between myocardial functional requirements and the capacity of the CORONARY VESSELS to supply sufficient blood flow. It is a form of MYOCARDIAL ISCHEMIA (insufficient blood supply to the heart muscle) caused by a decreased capacity of the coronary vessels. Coronary Heart Disease,Coronary Diseases,Coronary Heart Diseases,Disease, Coronary,Disease, Coronary Heart,Diseases, Coronary,Diseases, Coronary Heart,Heart Disease, Coronary,Heart Diseases, Coronary
D003710 Demography Statistical interpretation and description of a population with reference to distribution, composition, or structure. Demographer,Demographic,Demographic and Health Survey,Population Distribution,Accounting, Demographic,Analyses, Demographic,Analyses, Multiregional,Analysis, Period,Brass Technic,Brass Technique,Demographers,Demographic Accounting,Demographic Analysis,Demographic Factor,Demographic Factors,Demographic Impact,Demographic Impacts,Demographic Survey,Demographic Surveys,Demographic and Health Surveys,Demographics,Demography, Historical,Demography, Prehistoric,Factor, Demographic,Factors, Demographic,Family Reconstitution,Historical Demography,Impact, Demographic,Impacts, Demographic,Multiregional Analysis,Period Analysis,Population Spatial Distribution,Prehistoric Demography,Reverse Survival Method,Stable Population Method,Survey, Demographic,Surveys, Demographic,Analyses, Period,Analysis, Demographic,Analysis, Multiregional,Demographic Analyses,Demographies, Historical,Demographies, Prehistoric,Distribution, Population,Distribution, Population Spatial,Distributions, Population,Distributions, Population Spatial,Family Reconstitutions,Historical Demographies,Method, Reverse Survival,Method, Stable Population,Methods, Reverse Survival,Methods, Stable Population,Multiregional Analyses,Period Analyses,Population Distributions,Population Methods, Stable,Population Spatial Distributions,Prehistoric Demographies,Reconstitution, Family,Reconstitutions, Family,Reverse Survival Methods,Spatial Distribution, Population,Spatial Distributions, Population,Stable Population Methods,Technic, Brass,Technique, Brass
D005260 Female Females
D006266 Health Education Education that increases the awareness and favorably influences the attitudes and knowledge relating to the improvement of health on a personal or community basis. Community Health Education,Education, Health,Education, Community Health,Health Education, Community

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