Ob esity is a condition of excessive fat accumulation in adipose tissue that occurs due to nutritional transitions in food consumption patterns b y population that practices modern lifestyles, trend to higher consumption of energy-dense foods and low physical activity. Food consumption is the main cause of adult ob esity 18+ years old. Based on UNICEF (1998) concept, food consumption is influenced b y food security, including food access and food availab ility. The purpose of this study is to determine the ob esity and food security modeling in West Java Province. This study used secondary data from Riskesdas 2013, SUSENAS 2013, and Daerah Dalam Angka2013-2014 from BPS. Unit analysis is 26 districts of West Java Province. The data were analyzed using Partial Least Square -Structural Equation Modeling (PLS-SEM). The results showed that ten percent increase in food availab ility could directly reduce 9.2 percent in food access, reduce 8.9 percent in food consumption as a result of food access changes, and reduce 0.4 percent of ob esity as a result of food access and food consumption changes. Ten percent increase in food access could directly increase in 3.0 percent of food consumption, and increase 3.6 percent ob esity as a result of food consumption changes. Ten percent increase in food consumption could increase 6.0 percent of ob esity prevalence.Keywords: ob esity, food security, partial least square structural equation modeling (PLS-SEM) ABSTRAKObesitas merupakan kondisi akumulasi lemak berlebih pada jaringan adiposa yang secara langsung disebabkan oleh transisi gizi, yaitu perubahan pola makan oleh populasi yang telah mengadopsi gaya hidup modern, yaitu kecenderungan pada peningkatan konsumsi makanan padat energi dan rendahnya aktivitas fisik. Penyebab utama obesitas orang dewasa 18+ tahun berasal dari konsumsi pangan. Berdasarkan konsep UNICEF (1998), konsumsi pangan dipengaruhi oleh ketahanan pangan, termasuk akses pangan dan ketersediaan pangan. Penelitian ini bertujuan untuk menentukan pemodelan obesitas dan ketahanan pangan Provinsi Jawa Barat. Penelitian ini menggunakan data sekunder, yaitu Riskesdas 2013, SUSENAS 2013, dan Daerah Dalam Angka 2013-2014 kabupaten/kota Provinsi Jawa Barat. Unit analisis adalah 26 kabupaten/kota Provinsi Jawa Barat. Analisis menggunakan pendekatan Partial Least Square -Structural Equation Modeling (PLS-SEM). Hasil penelitian menunjukkan bahwa peningkatan 10 persen ketersediaan pangan dapat secara langsung menurunkan akses pangan sebesar 9,2 persen, menurunkan konsumsi pangan sebesar 8,9 persen sebagai akibat dari perubahan akses, serta menurunkan prevalensi obesitas sebesar 0,4 persen sebagai akibat perubahan akses dan konsumsi pangan. Peningkatan 10 persen akses pangan dapat secara langsung meningkatkan konsumsi pangan sebesar 3,0 persen, serta meningkatkan prevalensi obesitas sebesar 3 ,6 persen sebagai akibat dari perubahan konsumsi pangan. Peningkatan 10 persen konsumsi pangan dapat meningkatkan prevalensi obesitas sebesar 6,0 persen. [Penel Gizi Makan 2018, 41(2):89-1...
Diabetes mellitus is a metabolic multisystem disease characterized by hyperglycemia due to abnormalities in insulin secretion and/or insulin work. In pregnancy, diabetes mellitus became one of the risk factor for infant’s high birth weight. The other potential factors are mother’sage, pre-pregnancy nutritional status, pregnancy weight gain, gestational age, and parity. Therefore, the research wanted to analyze the difference of birth weight between diabetic mother and non-diabetic mother. Comparative analytical method was used in this study with cross-sectional design.The sample in this study was 10 diabetic mothers and 10 non-diabetic mothers which was taken by simple random sampling in RSU Haji Surabaya. Independendent T-test was used to analyze the birth weight difference. The result showed that the proportion of hight birth weight were more prevalent in diabetic mothers (50%) than non-diabetic mothers (30%). Independent T-test analysis showed there was no difference in birth weight between diabetic mothers and non-diabetic mothers (p= 0,208). Further reseach is needed to understand birth weight determinant factors, particularly in diabetic mothers. Keywords: Birth Weight Infants, Diabetes mellitus, pregnancy, nutritional status
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