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All Journal World Nutrition Journal
Pansawira, Pittara
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Medicine & Pharmacology Public Health

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The role of Artificial Intelligence in nutritional assessment in clinical practice Pansawira, Pittara
World Nutrition Journal Vol. 8 No. i2 (2025): Volume 08 Issue 2, February 2025
Publisher : Indonesian Nutrition Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25220/WNJ.V08.i2.000i

Abstract

Nutrition plays a crucial role in clinical practice, impacting immune function, disease prevention, and treatment. However, assessing a patient’s nutritional status remains challenging due to individual differences and the limitations of traditional methods like dietary recalls and food diaries, which can be subjective and time-consuming. Artificial Intelligence (AI), particularly machine learning, is emerging as a powerful tool to enhance nutritional assessments. AI can quickly and accurately analyze large datasets, enabling both patients and clinicians to track and manage dietary intake, blood sugar levels, and other health metrics through apps and wearable devices. Despite its promise, AI in nutrition faces challenges such as data accuracy, potential misdiagnoses, and ethical concerns related to data privacy and security. Nonetheless, as technology advances, AI is set to play an increasingly significant role in nutrition diagnostics and healthcare, offering new possibilities for personalized and efficient nutritional management.
Anemia Status and Its Related Factors among Indonesian Workers: Hemoglobin Survey in Three Different Workplaces Chandra, Dian Novita; Pansawira, Pittara; Bardosono, Saptawati
World Nutrition Journal Vol. 5 No. S1 (2021): Special Issue : The role and importance of iron
Publisher : Indonesian Nutrition Association

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25220/WNJ.V05.S1.0006

Abstract

This study aims to explore risk factors of low hemoglobin status (anemia) among workers in three different workplaces in Indonesia. Cross-sectional study design was applied to screen hemoglobin value by using a multiwave pulse total-hemoglobinometer Masimo® and obtain socio-demographic characteristics using a questionnaire. Three workplaces were purposively selected to have total population eligible for this study. Health safety protocol was applied both for the subjects and researchers as COVID19 prevention. Statistical analyses were used accordingly to find potential risk factor(s) of anemia among workers. A total of 2386 eligible subjects with mean age of 36.8 ± 9.2 years participated in this study consisted of mainly male workers (85.3%), mostly married (79.0%), never smoke (55.8%) and working in shift (68.7%). Mean of hemoglobin value was 14.2 ± 1.2 mg/dL with anemia prevalence of 9.9%. Risk factor of anemia among workers were female-gender, non-marriage status, never smoking and no-work shift. However, the potential determinant for anemia among workers was female-gender, in which the prevalence of anemia was 24.6% as compared to 7.4% in male-gender. Keep providing free meal in the workplace canteen is a must, but there is a need to provide iron and vitamin C-fortified food and/or iron and vitamin C supplement especially for female workers.
Co-Authors Chandra, Dian Novita Saptawati Bardosono