World Nutrition Journal (Indonesian Nutrition Association - INA)
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Role of artificial intelligence in critical care medicine
The integration of artificial intelligence (AI) into critical care medicine represents one of the most transformative developments of the modern era, particularly in the domain of nutritional support. Nutrition in critically ill patients is a complex, dynamic, and individualized component of care, intimately linked with outcomes such as morbidity, mortality, length of stay, and recovery trajectories. Historically, the approach to nutritional management in intensive care units (ICUs) has been guided by static protocols, clinician experience, and limited data-driven personalization. However, the advent of AI has heralded a new paradigm—one where algorithms are capable of synthesizing massive volumes of patient-specific and population-level data to optimize nutritional strategies in real-time. This abstract explores the evolving role of AI in the nutritional management of critically ill patients, elucidating its current capabilities, transformative potential, and the nuanced challenges inherent in its implementation
Anemia among women of reproductive age in the Philippines and its implications in community
Anemia is a persistent global problem and it affects all segments of the population from infancy, young and school children, adolescents, adults, pregnant and lactating women, and the elderly. It is more prevalent in impoverished countries. Globally, WHO estimated that in 2019, 40% of all children aged 6359 months, 37% of pregnant women and 30% of women 15349 years of age were affected by anemia. The South-East Asia Region is one of the most affected regions
Investigating associations between nutritional status, body composition, eating behavior, and somatotype with physical fitness among urban adult women
Background: Reduced physical fitness increases the risk of non-communicable diseases (NCDs) such as obesity, hypertension, and type 2 diabetes. In urban Indonesia, this is particularly concerning, with over 33.9% of adult urban women classified as obese. Although nutritional status, body composition, eating behavior, and somatotype may affect fitness, few studies have explored these relationships within this population.
Objectives: This study aims to explore the associations between these factors and physical fitness among urban adult women
Relationship of fiber consumption with obesity and gut health in students of SMAN 3 Kupang City
Background: Fiber is a necessity that must be met to help maintain digestive health and prevent obesity. The easiest sources of fiber are vegetables and fruits.
Objective: This study aims to determine the correlation of fiber consumption with obesity and gut health in students of SMAN 3 Kupang City
The relationship between subcutaneous fat thickness and menstrual cycle on obese women
Background: Indonesian health survey shows an increase in obesity rates from 21.8% in 2018 to 23.4% in 2023. Obesity is a condition of excess fat accumulation that can be measured by the thickness of subcutaneous fat. Fat accumulation can disrupt the body’s hormonal condition because it also works as an endocrine organ. It produced aromatase that can disrupt the female reproductive hormonal system and causing menstrual disorders. 80% of women experience menstrual cycle disorders based on WHO in 2017.
Objectives: To determine the relationship between the thickness of subcutaneous fat and menstrual cycle on obese women.  
The role of early enteral nutrition in an adult patient with severe burn injury II-III degree, 28% TBSA, and inhalation injury: A case report
Background: Burn patients experience increased energy demands, muscle mass loss, and infection risk due to hypermetabolism. This case report highlights the benefits of initiating early enteral nutrition (EEN) within 24 hours post-burn.
Case report: A 55-year-old male with second- to third-degree burns covering 28% of TBSA and inhalation injury was hospitalized for 24 days at RSPP. He weighed 70 kg (BMI of 25.7 kg/m²). Within 24 hours, he received fluid resuscitation, wound excision, and tracheostomy. Calculated via the Curreri formula, his caloric requirement was 2,870 kcal/day, and protein needs were 105–140 g/day. Enteral nutrition was initiated within 24 hours and advanced gradually. Partial parenteral nutrition was also provided: 63 g carbohydrates, 25 g protein, and 19 g fat daily. The patient was also treated for hypoalbuminemia and received oral vitamin B complex, vitamin C, and iron.  
Socio-demographic, exercise, and anthropometric profiles of adults participating in fitness exercise programs in Vhembe district, Limpopo province, South Africa
Introduction Adults in Vhembe district participate in fitness exercise programs for optimal health. However, the nutritional profiles of these participants remain unknown.
Aim: To assess the socio-demography, calculate BMI and measure WC of adults participating in fitness exercise programs around Vhembe district, Limpopo Province.
Method: A cross–sectional study design was conducted to assess socio-demographic and anthropometric profiles of 112 adults participating in fitness exercise programs around Vhembe district, Limpopo Province. Ethical clearance was obtained from TREC and written consent by the participants. Socio-demographic profile included, for example, age, education status, duration and frequency of training. Anthropometry included weight and height to calculate BMI, and waist circumference. Data were analyzed using SPSS (v29). The Chi-square test, with a p-value of <0.05, was used to determine the association among variables.
Results: Males were aged 36.3±9.3 and females 32.1±8.7 years; training three times per week for two hours in aerobics and bodybuilding programs. Most participants had bachelor’s degrees (males, 35.5%; females, 29.8%) and diplomas (males, 32.3%; females, 27.7%). Unemployment was higher (57.4%) among females compared to males (38.5%). Aerobic participants were overweight (males, 27.8±4.7; females 28.8±4.8 kg/m²) whereas those in bodybuilding were obese (31.0±16.9, males and 37.5±0.0 kg/m², females). Participants in both programs had optimal waist circumferences (<102 cm, males and <88 cm, females). Anthropometry was associated (p<0.05) to demography among the aerobic exercise participants.
Conclusion: Participants trained once per day, three times a week for two hours. The majority had higher education qualifications, however, unemployed. Participants were overweight with acceptable waist circumference value
The role of Artificial Intelligence in nutritional assessment in clinical practice
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
A qualitative study on the experiences of the prospective brides about nutritional preparation during the preconception period
Background: Stunting is still a nutritional problem in Indonesia, where maternal malnutrition is one of the causes. Studies show that prospective brides and women of childbearing age in Indonesia are not physically and knowledgeably ready for pregnancy. Nutritional preparation is crucial during preconception, as preconception nutritional status can have cross-generational impacts, yet it is often overlooked.
Objective: This study aimed to explore the experiences of prospective brides regarding nutritional preparation during the preconception period.
Methods: This qualitative research was conducted in Bogor, Indonesia, using in-depth interviews and participatory methods. The main informants of this study were 20 prospective brides selected through convenience sampling. Additionally, 21 key informants were involved for triangulation. Data analysis was conducted by coding verbatim transcripts using NVivo12 software. The results of this study used a pre-determined theme aligned with the research objectives.
Result: Almost all informants agreed that preconception nutritional preparation was crucial before marriage. Several nutritional preparation activities carried out by prospective brides emerged from this study, such as pre-pregnancy weight management and eating nutritious and healthier foods. However, many prospective brides still did not perform these activities optimally.
Conclusion: Many prospective brides were already putting efforts to undertake nutritional preparation. However, knowledge gaps and misunderstandings among brides and grooms regarding nutritional preparation persist. There is a need to improve their awareness at preconception period and ensure government programs are accessible, equitable, and effective. This study offers new insights into nutritional preparation for brides, an area that is underexplored
The implementation and challenges of breastfeeding counselling program in Majene district, West Sulawesi: A qualitative study among health workers
Background: Inadequate breastfeeding practices increase the risk of malnutrition, infant deaths, and other related developmental problems. Counselling on breastfeeding promotion is one of the most effective ways to improve breastfeeding practices. Nevertheless, challenges in implementing the counselling hinder its effectiveness. Using the logic model framework, this study examines the implementation and challenges of breastfeeding counselling programs in Majene District, West Sulawesi
Objective: This study aims to gain an in-depth understanding of experiences and perspectives regarding the implementation of the breastfeeding counselling program using the Logic Model among health workers in Majene District.
Methods: From January to June 2024, a qualitative phenomenological approach was employed. Data collection included in-depth interviews with 12 trained breastfeeding counsellors, eight key informants, and focus group discussions with 24 mothers. Thematic analysis using NVivo 12, guided by the Logic Model framework, which grouped breastfeeding counselling into input, process, outputs, and outcomes aspects.
Results: Key challenges included a shortage of trained counsellors, limited infrastructure, and budget constraints. Health workers adapted by integrating counselling into maternal health services, conducting home visits, and collaborating with Posyandu cadres. Exclusive breastfeeding rates showed slight improvements but remained below national targets. Beneficiaries expressed satisfaction but highlighted the need for longer and more frequent counselling sessions.
Conclusions: The program faced significant resource challenges, including a shortage of skilled counsellors, budget constraints, and limited facilities. However, adaptive strategies by health workers crucial for overcoming logistical and resource constraints resulted in beneficiaries’ satisfaction and positive developments in breastfeeding rates