Background Mobile applications such as personalized tracking tools and food choice aids may enhance weight loss programs. We developed and assessed client preferences for the content, user interface, graphics, and logic flow of a mobile application, and evaluated its validity for tracking compliance with weight control and making healthy and sustainable food choices. Methods Our four-stage study comprised formative research, application development, acceptance assessment, and validity. The formative research included literature reviews and six focus groups with 39 respondents aged 19–64 years at high risk for obesity. The development stage included programmer selection, defining application specifications, design, and user interface. Prototype acceptability was assessed with 53 respondents who graded 17 features of content, graphic design, and application flow (ranked as good, moderate, and poor). A feature was considered to have "good" acceptance if its mean response was higher than the mean of overall responses. The validity was assessed in 30 obese women using Bland–Altman plots to compare results from dietary intake assessment from the application to conventional paper-based methods. Results The application was named as EatsUp®. The focus group participants defined the key requirements of this app as being informative, easy, and exciting to use. The EatsUp® core features consisted of simple menu recommendations, health news, notifications, a food database, estimated portion sizes, and food pictures. The prototype had a "good" overall acceptance regarding content, graphics, and flow. Fourteen out of 17 parameters were graded as "good" from > 70% of respondents. There was no significant difference between the rated proportions for content, graphics, and app flow (Kolmogorov–Smirnov Z-test, p > .05). The agreement using the Bland–Altman plots between EatsUp® and the paper-based method of measuring food intake was good, with a mean difference of energy intake of only 2.63 ± 28.4 kcal/day (p > 0.05), well within the 95% confidence interval for agreement. Conclusions The EatsUp® mobile application had good acceptance for graphics and app flow. This application can support the monitoring of balanced and sustainable dietary practice by providing nutritional data, and is comparable with conventional dietary assessment tools, and performed well in tracking energy, macronutrient, and selected micronutrients intakes. Trial registration NCT03469869. The registration date was March 19, 2018.

Background: stunting is one of the double burden health problem in Indonesia and the education during the first 1000 days of life is the most important determining factor. The aim of this study was to improve knowledge in preventing stunting. Methods: 50 women aged 19–59 years were giving a questionnaires before and after nutrition education has been performed. The effect of nutrition education was analyzed using Wilcoxon test. Results: there was a significant change of median score between pretest and posttest (p <0.05). Conclusion: Nutrition education was successful in improving knowledge of productive aged women in reducing stunting.

Background: Ischemic heart disease is one of the interrelated disease amongst cardiovascular disease group. Pathophysiological model of ischemic heart disease and myocardial ischemia are caused by obstructive atherosclerotic plaque, which involves the narrowing of small blood vessels that oxygenate the heart muscle by the build-up of plaque. Diet plays an important role in ischemic heart disease. Copper, an essential trace metal micronutrient, is required for myocardial angiogenesis action. Copper deficiency leads to cardiac mitochondrial structural defect and interference in oxidative phosphorylation. Aims: This study aims to examine the association between blood copper levels amd the incidence of ischemic heart disease. Methods: A total of 30 patients in cardiovascular clinic in Universitas Sumatera Utara Hospital in Medan, Indonesia from September 2021 until January 2022 were included in this cross-sectional study, with descriptive analytics. Demographic data, smoking behavior, supplement consumption, anthropometry measurements, body mass index, medical history were collected. Food frequency questionnaire (semiquantitative FFQ) was used to obtain food recall data. Blood level of copper were analysed in Prodia Clinical Laboratory. Results: Out of 30 patients in this study, 70% were male with a mean age of 60.6 years old. Research subjects who had risk factor of smoking were as much as 33.3%. Comorbidities such as dyslipidemia and diabetes mellitus were apparent, which were 63.3% and 30%, respectively. Sixty percent of the subjects were sedentary with mean body mass index 25.9 kg/m2. Median level of copper consumed daily was 1400 mcg/day and mean blood copper level was 1034,5 mg/L. Based on the blood copper level analysis of the subjects, we found  an insignificant negative correlation between blood copper level with the incidence of ischemic heart disease (r = -0.050; p <0.795). Conclusion: This study found no association between blood copper levels and the incidence of ischemic heart disease.