ASUPAN ZAT GIZI MAKRO MAHASISWA FAKULTAS TEKNOLOGI PANGAN DAN KESEHATAN UNIVERSITAS SAHID SELAMA PANDEMI COVID-19

Abstrak

ABSTRAK: Penularan Covid-19 yang berlangsung dengan cepat menyebabkan pembatasan kegiatan diluar rumah, salah satunya kegiatan pembelajaran jarak jauh untuk mahasiswa. Pembelajaran secara daring dapat mengakibatkan perubahan pola makan selama pandemi menjadi berkurang ataupun berlebih serta akan berdampak terhadap status gizi. Penelitian ini bertujuan untuk  menganalisis hubungan asupan zat gizi makro pada mahasiswa Fakultas Teknologi Pangan dan Kesehatan Universitas Sahid dengan status gizi selama pandemi Covid-19. Penelitian ini menggunakan desain cross sectional. Subjek diambil secara non probability sesuai dengan kriteria inklusi berjumlah 40 mahasiswa. Pengambilan data  berat badan, tinggi badan dan asupan zat gizi dilakukan melalui kuesioner secara daring dan wawancara 1x24h food recall. Uji statistik yang digunakan yaitu Anova untuk asupan energi dan karbohidrat, serta Kruskall Wallis untuk asupan protein dan lemak. Hubungan antara asupan zat gizi dengan status gizi menggunakan uji korelasi Spearman. Hasil menunjukkan status gizi subjek underweight, normal, overweight, obesitas I dan obesitas II masing – masing 15%, 60%, 7.5%, 10% dan 7.5%. Sebanyak 50% subjek memiliki kecukupan energi lebih, 47.5% subjek memiliki kecukupan protein defisit, 67.5% berlebih untuk lemak, dan 35% karbohidrat tergolong lebih. Terdapat hubungan signifikan (p=0.05) antara tingkat kecukupan energi dengan status gizi.  ABSTRACT: The rapid speard of covid-19 caused restrictions on activities outside the home, one of which was study form home for college students. Study form home can result in reduced or excessive dietary changes during the pandemic and will have an impact on nutrional status. Aim of this research was to analyze correlation between macronutrients intake of student in Faculty of Food Technology and Health with nutrional status during pandemic. This was research using cross sectional design. Subject were non-probability according to inclusion criteria as much as 40 students. Data were collected using height and weight and macronutrients through an online questionnaire and interviews. Statistical test used was one way Anova for energy and carbohydrate consumption variables and Kruskall Wallis test for protein and fat consumption variables. Analysis of the  correlation between macronutrients intake of student and nutritional status using Spearman test. The result indicated nutrional status of underweight, normal, overweight, obesity I dan obesity II were 15%, 60%, 7.5%, 10% dan 7.5% consecutively. 50% subject had a energy adequate level was classified as excess, 47.5% had a protein adequate level was classified as deficit, 67.5% excess for fat, and carbohydrate 35% which were classified as excess. There was significant correlation (p=0.05) between energy adequate level  and nutritional status.