Personal and family factors associated with hypercholesterolemia in Peruvian public-school teachers, using binary logistic regression

Abstract

Objective: to determine personal factors related to hypercholesterolemia in Peruvian public-school teachers.
Methodology: descriptive study, based on secondary data from the 2021 national survey of 12075 teachers, 546 of whom reported having been diagnosed with hypercholesterolemia in the last year. The dependent variable was the presence of hypercholesterolemia in the last 12 months; the independent variables were: age, sex, overweight, living relative who resigned from employment, relative who dropped out of school, relative who moved away from home, caring for older adults, caring for chronically ill relatives, type of work regime. Pearson’s Chi-square test was performed, as well as bivariate linear regression tests which included Cox and Shell test,
Nagelkerke’s R-square and omnibus test.
Results: it was found that the personal factors that predicted hypercholesterolemia were age, close relative who recently moved, relative who dropped out of school, caring for a relative with chronic diseases, teacher caring for elderly relatives, type of work regime, and overweight.
Conclusions: personal factors are associated with hypercholesterolemia in Peruvian public-school teachers. The state, in addition to the proportion of dyslipidemia screening campaigns, should provide psychological and family support services to school teachers nationwide.