The demographic characteristics investigated were age, gender, and occupation. The health indices investigated were carbon monoxide level (as indicator of smoking), systolic and diastolic blood pressure, and anthropometric measurement of abdominal body fat.
A secondary analysis of healthcare data collected in 1995 from 1805 participants was completed. The data were collected by the staff of a Northern Plains hospital-based wellness center during screening done for both healthcare workers employed by the hospital and factory workers employed at a local textile manufacturing company.
The health promotion screening tool was developed by the Northern Plains Hospital-based wellness center and used for data collection.
Results indicated that factory workers have a greater frequency of high risk cholesterol measurements than healthcare workers. These results were not statistically significant as statistical test for multiple regression indicated that the demographic characteristics age, occupation, and gender accounted for only 15% (Adjusted R square=0.1513) of the variance in total cholesterol among groups. The health indices carbon monoxide, systolic blood pressure, and abdominal body fat accounted for only 8% (Adjusted R square=0.0848) of the variance in total cholesterol among groups. Diastolic blood pressure was not a statistically significant (p.05) health indice. The conceptual model suggests other variables, beyond those analyzed, that may affect cholesterol levels.
The demographic characteristics investigated were age, gender, and occupation. The health indices investigated were carbon monoxide level (as indicator of smoking), systolic and diastolic blood pressure, and anthropometric measurement of abdominal body fat.
A secondary analysis of healthcare data collected in 1995 from 1805 participants was completed. The data were collected by the staff of a Northern Plains hospital-based wellness center during screening done for both healthcare workers employed by the hospital and factory workers employed at a local textile manufacturing company.
The health promotion screening tool was developed by the Northern Plains Hospital-based wellness center and used for data collection.
Results indicated that factory workers have a greater frequency of high risk cholesterol measurements than healthcare workers. These results were not statistically significant as statistical test for multiple regression indicated that the demographic characteristics age, occupation, and gender accounted for only 15% (Adjusted R square=0.1513) of the variance in total cholesterol among groups. The health indices carbon monoxide, systolic blood pressure, and abdominal body fat accounted for only 8% (Adjusted R square=0.0848) of the variance in total cholesterol among groups. Diastolic blood pressure was not a statistically significant (p.05) health indice. The conceptual model suggests other variables, beyond those analyzed, that may affect cholesterol levels.
The demographic characteristics investigated were age, gender, and occupation. The health indices investigated were carbon monoxide level (as indicator of smoking), systolic and diastolic blood pressure, and anthropometric measurement of abdominal body fat.
A secondary analysis of healthcare data collected in 1995 from 1805 participants was completed. The data were collected by the staff of a Northern Plains hospital-based wellness center during screening done for both healthcare workers employed by the hospital and factory workers employed at a local textile manufacturing company.
The health promotion screening tool was developed by the Northern Plains Hospital-based wellness center and used for data collection.
Results indicated that factory workers have a greater frequency of high risk cholesterol measurements than healthcare workers. These results were not statistically significant as statistical test for multiple regression indicated that the demographic characteristics age, occupation, and gender accounted for only 15% (Adjusted R square=0.1513) of the variance in total cholesterol among groups. The health indices carbon monoxide, systolic blood pressure, and abdominal body fat accounted for only 8% (Adjusted R square=0.0848) of the variance in total cholesterol among groups. Diastolic blood pressure was not a statistically significant (p.05) health indice. The conceptual model suggests other variables, beyond those analyzed, that may affect cholesterol levels.