Hamam Hadi
Minat Utama Gizi dan Kesehatan, Program Studi S2 Ilmu Kesehatan Masyarakat, Fakultas Kedokteran Universitas Gadjah Mada

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Faktor risiko obesitas pada ibu rumah tangga miskin Digna Niken Purwaningrum; Hamam Hadi; I Made Alit Gunawan
Jurnal Gizi Klinik Indonesia Vol 9, No 1 (2012): Juli
Publisher : Minat S2 Gizi dan Kesehatan, Prodi S2 IKM, FK-KMK UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijcn.15361

Abstract

Background: Food insecurity is associated with allocation of income for high energy density food consumption that may cause obesity in poor family. In addition, low physical activity may lead to obesity, particularly in individual living in disadvantaged situation.Objective: To identify risk factors of obesity among poor housewives in Yogyakarta.Method: This was a case control study, case group was obese housewives and the control group was non obese housewives. The locations of the study were Bumijo and Pringgokusuman which have high population density. The samples were taken purposively. Each group consisted of 70 housewives (1:1) and were matched according to age. Mc.Nemar test and conditional logistic regression were used to identify the risk factors of obesity.Results: There was no difference in characteristics between the two groups. Food insecurity reached 91,43% in the control group, proportion of excessive energy intake reached 37.86% in the case group, higher than in control group (24.29%). Excessive fat intake in the case group reached 30% whereas in the control group was 28.57%. Low physical activity reached 40% in the case group, and 10% in the control group. The result of Mc.Nemar test showed that food insecurity, energy and fat intake had no significant association with obesity (p>0.05). While physical activity was associated with obesity (p=0.0001). The result of conditional logistic regression showed physical activity was dominant risk factor for obesity among poor housewives (R2=0.1916).Conclusion: Food security status was not a risk factor for obesity in poor families; energy intake and fat intake contributed to the prevalence of obesity though the influence was smaller than physical activity.
Pengembangan metode skrining gizi untuk pasien dewasa rawat inap Susetyowati Susetyowati; Hamam Hadi; Muhammad Hakimi; Ahmad Husein Asdie
Jurnal Gizi Klinik Indonesia Vol 8, No 4 (2012): April
Publisher : Minat S2 Gizi dan Kesehatan, Prodi S2 IKM, FK-KMK UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijcn.18217

Abstract

Background: A comprehensive nutrition assessment needs to be done on all hospitalized patients. The accuracy of nutritional assessment are necessary to ensure the provision of optimal nutrition support for the patient to prevent iatrogenic malnutrition and speed up the healing process. The nutrition screening tools has limited ability to be used as a valid indicator for comprehensive nutritional assessment. Thus, it is necessary to develop a new nutrition screening tool.Objective: To develop a simple, quick and valid malnutrition screening tool that can be used to identify adult patients at risk of malnutrition.Methods: This is an observational study with cross sectional design. The subjects were 495 patients admitted to Sardjito General Hospital, excluding paediatric, maternity, and psychiatric patients. All patients were screened using the Nutrition Screening Tool of University Gadjah Mada (NST-UGM). The validity of the NST-UGM will be tested by measuring the sensitivity and specifi city value compared to Subjective Global Assessment (SGA).Result: The newly developed nutrition screening tool consisted of 6 questions with a cut-off of 0-2 classifi ed as not at risk of malnutrition and > 2 classifi ed as at risk of malnutrition. The sensitivity and specifi city value of the new screening tool compared with SGA were 91.28 and 79.78 respectively. Therefore, the convergent and predictive validity of NSTUGM was established. Conclusion: The NST-UGM is a simple, quick and valid tool which can be used to identify patients at risk of malnutrition.