Background: Body mass index (BMI) has been used to determine the nutritional status which is classified into low, normal, overweight or obese. The BMI only shows a comparison of height and weight instead of body composition which consists of fat mass and fat-free mass. Most of people assumed that BMI overage means fat mass overage as well, yet it does not occur in all cases. This study was conducted to measure the correlation between BMI and body fat percentage. Methods: An analytical study was conducted to 100 male and female students respectively from Universitas Padjadjaran Jatinangor batch 2009 to 2013. The body weight was measured using scales , whereas the body height was measured using stature meter. The body fat percentage was measured using Bioelectrical Impedance Analysis (BIA). The BMI was calculated by dividing the body weight in kilogram divided by body height in meter square. Data was collected from September to October 2013 and analyzed by Pearson's correlation test. Results: The mean of BMI in male students and female students were 22.56 and 21.35 respectively. The body fat percentage was 16.44 for men and 28.09 for women. Correlation score between BMI and fat mass in male students were 0.853 and female students are 0.834. Conclusions: There is a strong and positive correlation between BMI and body fat percentage both in male and female students in Universitas Padjadjaran Jatinangor. Among this population, BMI can still be used to determine body fat percentage. [AMJ.2015;2(4):575-8]

Balita pendek masih menjadi masalah generasi di Indonesia. Balita pendek disebabkan oleh berbagai faktor. Penelitian ini bertujan untuk mengetahui hubungan pemberian ASI eksklusif dan makanan pendamping ASI (MP-ASI) terhadap kejadian balita pendek usia 2 sampai 5 tahun. Penelitian analitik observasional ini dilakukan dengan pendekatan potong lintang. Subjek sebanyak 65 balita usia 2 sampai 5 tahun dengan kriteria inklusi memiliki riwayat berat lahir dan usia kehamilan normal di Kecamatan Jatinangor pada bulan Juni-Agustus 2017. Pengambilan sampel dilakukan dengan sampling acak bertahap. Pengambilan data karakteristik, pemberian ASI, dan MP-ASI dilakukan dengan cara wawancara. Pengukuran status gizi dilakukan berdasarkan TB/U. Analisis statistik yang digunakan adalah uji statistik Chi square dan Fisher. Angka kejadian balita pendek pada penelitian ini sebesar 40%. Pola menyusui ASI parsial memiliki proporsi paling banyak dibandingkan ASI eksklusif. Jenis pemberian MP-ASI umumnya diberikan dari pabrik (usia 6-9 bulan) dan buatan sendiri (usia 9-24 bulan). Pada usia 12 s.d. 24 bulan, seluruh balita diberikan jenis MP-ASI dari buatan sendiri. Hubungan antara pemberian ASI eksklusif dan MP-ASI dengan balita pendek masing-masing p<0,05 dan p>0,05. Terdapat hubungan antara pemberian ASI eksklusif dan balita pendek, tetapi tidak terdapat hubungan antara MP-ASI dan balita pendek.Kata Kunci: ASI eksklusif, Jatinangor, MP-ASI, pendek

No abstract

Background: Dehydration can be compensated for by the body. However, if it occurs persistently, it can cause concentration problems, thermoregulation disorders, kidney damage, and other life-threatening disorders such as cardiovascular disorders. Urine color is a simple indicator to assess a person’s hydration status. The purpose of this study was to explore the hydration status of employees working in Bandung, Indonesia. Methods: This was a descriptive cross-sectional study conducted from March to November 2019. This study was a part of another study exploring urine color levels. Urine was collected on Sunday morning when the employees were free. Water intake and workload before urine examination were not taken into account. Hydration status was divided into three categories: well-hydrated, mild/moderate dehidration, and severe dehydration. A total sampling method was used to collect data. Results: In total, 178 subjects who met the study criteria participated in the study. The majority of respondents were 40-79 years old, male, did not have hypertension or diabetes, and active smokers. Most respondents experienced severe dehydration (44.7%) although 58.1% had consumed ≥8 glasses of water/day. Conclusion: More than half employees have consumed adequate amount of water; however, the majority are severely dehydrated when assessed based on their urine color. Further study on the balance of water intake and excretion is needed to explore the phenomenon of dehydration in the morning.

AbstrakBerat bayi lahir rendah dipengaruhi oleh kenaikan berat badan ibu selama hamil. Penelitian ini bertujuan mencari indikator status gizi ibu trimester pertama yang paling berperan terhadap kenaikan berat badan ibu selama hamil. Kohort ini dilakukan selama tahun 2014 yang merupakan bagian dari Tanjungsari Cohort Study di Jawa barat. Variabel status gizi ibu trimester pertama (indeks massa tubuh (IMT), massa lemak (ML), massa lemak bebas (MLB), lingkar lengan atas (LLA)) dihubungkan dengan kenaikan berat badan (BB) ibu selama hamil dari trimester pertama sampai ketiga dengan analisis bivariat Pearson dilanjutkan dengan regresi linier multivariat. Perbedaan kenaikan berat badan ibu selama hamil pada tiap kelompok dengan uji ANOVA satu arah. Perubahan asupan energi dan protein diuji dengan uji T independen pada semua kelompok. Diperoleh 37 subjek yang telah mencapai trimester ketiga menunjukkan korelasi antara IMT, ML, MLB, LLA dengan kenaikan BB ibu selama hamil. Terdapat hubungan negatif IMT dengan KBB (p=0,002 dan r 2 =0,234 Body Mass Index in Early Pregnancy as the Most Contributing Indicator for Weight Gain during Pregnancy AbstractLow birth weight is influenced by maternal weight gain during pregnancy. This study aimed to reveal the most contributing pre-pregnancy maternal nutritional status indicators pre-that are responsible for maternal weight gain during pregnancy. This study was carried out during the year of 2014 and was performed as a part of Tanjungsari Cohort Study in West Java. The pre-pregnancy maternal nutritional status variables (body mass index (BMI), fat mass (FM), fat free mass (FFM), and mid upper arm circumference (MUAC)) were associated with the gestational weight gain (GWG) of pregnant women from the first to the third trimester using Pearson bivariate analysis followed by multivariate linear regression. The difference of GWG in each group was analyzed using oneway ANOVA test, while changes in energy and protein intake were tested using independent T test in all groups. From 37 subjects who had reached the third trimester, it was shown that there was a correlation of BMI, ML, MLB, and LLA to GWG. Themultivariate analysis showed a negative correlation between BMI and GWG (p=0.002 and r2=0.234). Maternal weight gain during pregnancy in underweight, normal weight, overweight, obese 1, and obese 2 women were 7. 38, 8.54, 6.73, 4.38, and 3.30 kg, respectively, while changes in energy and protein intake in subjects with high and low BMI were p=0.09 and p=0.96, respectively. In conclusion, the pre-pregancy maternal body mass index is the most contributing indicator for maternal weight gain during pregnancy, BMI is inversely related to maternal weight gain during pregnancy, except in the underweight group. [MKB. 2016;48(3):171-5]