Section C Research Design

Thetable below contains web links to two journal articles. Complete thetable by analyzing each of these components. In the last column, youwill choose an article and conduct the same analysis. You mustprovide the reference to this article in APA style.

Chen, W., Lu, F., Liu, S.J., DU, J.B., Wang, J.M., Qian, Y.,…Shen, H.B. (2012). Cancer risk and key components of metabolic syndrome: a population-based prospective cohort study in Chinese. Chin Med J (Engl). Retrieved from http://www.cmj.org/Periodical/PDF/20122342504960.pdf

Chang, C.T., Lee, P.Y., Cheah, W.L. (2012). The prevalence of cardiovascular risk factors in the young and middle-aged rural population in Sarawak, Malaysia. Malays J Med Sci. Retrieved from http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3431746/pdf/mjms-19-2-027.pdf

Your article

Research Question or Research Objective

Exploring the association between metabolic syndrome (MS) mechanism and threats associated with cancer in a Chinese sample population

To examine occurrences for cardiovascular threats in a sample population of 260 individuals between the ages of 20 and 65 years.

Study Design

Sample-based group with 17 779 persons 35 years of age.

Face-to-face interviews for all participants to complete questionnaires

Physical examinations

Cross-sectional study using stratified proportionate fixed random sampling

Independent Variable &amp Variable Type

The study examined Waist circumferences, blood pressure levels, fast blood glucose, density lipoprotein cholesterol (HDL-c) levels and triglycerides (TG).

Threat aspects entail diabetes mellitus, hypertension, and obese symptoms.

Dependent Variable &amp Variable Type

Cancer risk

Coronary heart disease (CHD)

Other covariates &amp Variable Type

Cardiovascular diseases

Cardiovascular risk factors

Statistical Test used to Address Research Question

The test employed is Multivariate Cox Regression in giving approximations for hazard ratios for possibility of metabolic syndrome aspects and cancer occurrences.

CHI-SQUARE TESTS showed- associations between various variables, for example, obesity and gender rated at (P = 0.007),

The second statistical test employed is Age-Adjusted Logistic Regression. A sample result is that of women had a higher chance of suffering obesity than the elderly participants at rate value of 0.246. While who earned highly had higher chances of being smokers at a rate of 2.471 more than the average low-income woman.