Latar Belakang: Perkembangan teknologi pada saat ini terjadi peningkatan perilaku sedentary lifestyle pada remaja. Sedentary lifestyle berhubungan dengan aktivitas pergerakan tubuh yang minim dengan pengeluaran energi expenditur setara 1 -1,5 metabolic equivalent (METs). Peningkatan sedentary lifestyle meningkatkan risiko berbagai masalah kesehatan salah satunya adalah obesitas. Terjadinya status gizi kurang secara kronis dan mengalami stunted dapat berhubungan dengan terjadinya remaja obes. Tujuan penelitian ini yaitu untuk mengetahui sedentary lifestyle sebagai faktor risiko kejadian obesitas pada remaja stunted. Metode: Penelitian ini merupakan penelitian cross-sectional dengan populasi remaja SMA di Semarang. Subjek penelitian diambil dengan cara cluster random-sampling antara kelompok urban dan sub urban. Besar sampel sebanyak 42 siswa dengan kondisi stunted. Kriteria inklusi penelitian ini yaitu berusia 14-18 tahun, mengalami stunted  dengan status gizi TB/U <-2 SD dan BMI for age percentile <95 pada kelompok kontrol (kelompok stunted non obes) dan BMI for age percentile >95 serta status gizi TB/U <-2 SD pada kelompok kasus (kelompok stunted obes).Hasil: Jumlah obesitas sebanyak 151(6,6%), stunted  269(11,7%) dan stunted   yang mengalami obesitas 45(1,9%). Kegiatan sedentary lifestyle yang umum dilakukan oleh remaja stunted yang berisiko menjadi obesitas yaitu kegiatan menonton TV, membaca buku untuk kesenangan serta pergi beribadah atau pergi ke sekolah di hari libur.Simpulan: Remaja stunted  dengan sedentary lifestyle ≥ 5 jam/hari berisiko 2,9 kali lebih besar menjadi obesitas dibandingkan dengan  < 5 jam/hari.

Low glycemic index formula are recommended for patients with hyperglycemia. Although tempeh and jicama flour contains fiber, arginine, glycine, inulin and alpha-linolenic acid that can be used as ingredients for enteral formulas of hyperglycemic patients, the evidence in reducing the glycemic index has not been proven. This study analyzed the differences of glycemic index (GI), glycemic load (GL) and acceptability of enteral formula based on tempeh flour and jicama flour for hyperglycemic patients. An experimental study with a completely randomized single factor design, by using the three ratios of tempeh flour to jicama flour A (2:3), B (1:1) and C (5:3). The glycemic index test used a one-shot case study model on 30 women selected. Acceptability test (hedonic test) was held on 30 semi-trained panelists. Data was analyzed using the Kruskal Wallis test, Mann Whitney, and independent t-test. The GI of formulas A, B and C were 101.15, 96.21 and 41.06. The GL of three formulas were 114, 86, and 41. Panelists like the color, flavor, and texture of formulas A, B and C, while the taste of the formula was considered to be neutral. The results showed there were significant differences between the GI and the flavor of formulas A and C (p = 0.002), (p = 0.011) and B and C (p = 0.013), (p = 0.036). There were no differences between color, flavor and texture of the formulas (p > 0.005). There are significant differences of the GI and the acceptability in taste attributes between formulas A, B and C. Formula C has the lowest GI and GL but requires improvement of taste attribute.

Demak is an area in Indonesia with a high stunting rate of 50.28%. Mangrove fruit, a major regional commodity, should be used as a basis for Supplementary Feeding Program (SFP) cookies to overcome stunting in Demak. This study was aimed to analyse the nutritional content, nutrition absorption inhibiting agents, and acceptance of mangrove fruit cookies. This research used a completely randomized sample with a one-factor design to formulate mangrove and soybean flour. The formulations used were F1 (60%: 40%), F2 (70%: 30%), F3 (80%: 20%), and F0 (100% wheat flour) as the control group. The best formula of mangrove and soybean cookies was F2 with average energy 479.44 kcal/100 g, protein 11.70 g/100 g, fat 23.93 g/100 g, carbohydrate 54.31 g/100 g, zinc 2.68 mg/100 g, iron 6.72 mg/100 g, calcium 659.03 mg/100 g, HCN 1.77 ppm, and tannin 101.9 mg/100 g. The best cookie formulation that met the SFP quality requirements was F2, with a composition of 70% mangrove fruit flour and 30% soy flour.

The COVID-19 pandemic impacts lifestyle changes, one of which is the eating behavior of people. The research aims to examine changes in eating behavior before and during the COVID-19 pandemic among adolescents and adult groups in Indonesia. A cross-sectional study on 563 subjects, with the subject's inclusion criteria, namely living in Indonesia, aged 12-55 years, willing to participate in the research by filling in informed consent and filling out a questionnaire via an online google form. The data obtained were grouped based on variables before and after the pandemic, then tested the normality of the data. Bivariate analysis used the Wilcoxon text because the data were not normally distributed. As a result, there was an increase in the subject's breakfast habits and frequency of eating. Subjects experienced changes in eating habits, namely an increase in the frequency, variety, and portion of consumption of animal protein, vegetable protein, vegetables, and fruit between before and during the COVID-19 pandemic (p <0,001). In addition, the habit of consuming fluids, supplements, and spices also experienced a significant increase, while the pattern of snacking decreased between before and during the pandemic (p <0,001). In conclusion, there were differences in eating behavior: breakfast habits, dietary variations, consumption of animal and vegetable protein, vegetables, fruits, fluids, supplements, spices, and snacking patterns outside the home between before and during the pandemic in the subject

We assessed the reproducibility and validity of a food frequency questionnaire (FFQ) among middle-aged and older adults in Semarang, Indonesia. A total of 259 subjects aged 40–80 years completed two FFQs (nine-month apart) and nine 24 h dietary recalls (24HDRs, as a reference method). The reproducibility of the FFQ was analyzed using correlation coefficient, intra-class correlation coefficient (ICC), weighted kappa statistics and misclassification analysis. The validity was estimated by comparing the data acquired from FFQ1 and 24HDRs. The crude Pearson’s correlation coefficients and ICC for total energy and nutrients between FFQ1 and FFQ2 ranged from 0.50 to 0.81 and 0.44 to 0.78, respectively. Energy adjustment decreased the correlation coefficients for most nutrients. The crude, energy-adjusted and de-attenuated correlation coefficients for FFQ1 and 24HDRs ranged from 0.41 to 0.70, 0.31 to 0.89 and 0.54 to 0.82, respectively. The agreement rates for the same or adjacent quartile classifications were 81.1–94.6% for two FFQs and 80.7–89.6% for FFQ1 and 24HDRs. The weighted kappa values were 0.21 to 0.42 for two FFQs and 0.20 to 0.34 for FFQ1 and 24HDRs. A positive mean difference was found in the Bland–Altman analyses for energy and macronutrients. The FFQ could be acceptable for nutritional epidemiology study among Indonesians.