Universitas Negeri Semarang cooperate with Association of Indonesian Public Health Experts (Ikatan Ahli Kesehatan Masyarakat Indonesia (IAKMI))
Bahasa
eng
Abstrak
Background: Students in the health sector should have more health literacy so that they can show better health practices as well. However, unfortunately, a preliminary study on students in the field of public health showed that almost 50% of students have eating habits and physical activity that was not following health recommendations. The behavior of consuming fried foods in this group of students can be a risk factor for hypercholesterolemia. For this reason, it is necessary to study the habit of consuming fried foods as a risk factor for hypercholesterolemia. Methods: The study was using analytical research with a cross-sectional design. The sampling technique used a purposive sampling method. The minimum sample size is 91 people. Data analysis used univariate, bivariate using chi-square test, and multivariate using logistic regression. Results: The results of the bivariate analysis showed significant results, namely BMI (RP= 2.20; 95% CI= 1.09-4.43; p= 0.03). Consumption of fried foods (RP= 3.33; 95% CI= 1.69-6.57; p= 0.001). Physical activity (RP= 2.23; 95% CI= 1.04-4.79; p= 0.03). The result of the bivariate analysis that was not significant was smoking (RP= 1.28; 95% CI= 0.55-2.98; p= 0.547). The results of multivariate analysis showed that the most influencing risk factor for hypercholesterolemia was fried food consumption (RP= 5.42; 95% CI= 1.18-16.21; p= 0.003). Conclusion: The factors associated with hypercholesterolemia are BMI, consumption of fried foods, and physical activity. The most influencing risk factor for hypercholesterolemia is the consumption of fried foods.
Jaringan kolaborasi para penulis
11 penulis ·
24 tautan kepenulisan bersama
Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.
Universitas Respati Yogyakarta
Organisasi berbeda
Organisasi sama
Afiliasi tidak diketahui
Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.