Informasi Dokumen
- Penulis:
- Fatmah
- Pengajar:
- HARDINSYAH
- BOEDHIHARTONO
- TRIBOEDHI S.
- Sekolah: Institut Pertanian Bogor
- Mata Pelajaran: Gizi Masyarakat dan Sumberdaya Keluarga
- Topik: Model Prediksi Tinggi Badan Lansia Etnis Jawa Berdasarkan Tinggi Lutut, Panjang Depa, Dan Tinggi Duduk
- Tipe: disertasi
- Tahun: 2008
- Kota: Bogor
Ringkasan Dokumen
I. Introduction
This section outlines the significance of height as a clinical indicator for assessing the nutritional status of elderly individuals. It addresses the challenges of accurately measuring height in older adults due to physical changes and conditions. The study aims to develop predictive models for estimating height based on knee height, arm span, and sitting height, taking into account various demographic and health-related factors. This relevance to educational objectives lies in its potential to enhance understanding of anthropometric assessments in geriatric nutrition.
II. Literature Review
The literature review discusses the complexities of human growth and development, particularly in the elderly. It emphasizes the role of anthropometry in nutritional assessment and the limitations of existing predictive equations, such as the Chumlea equation, when applied to Indonesian elderly populations. This section provides a theoretical foundation for the study, highlighting the need for localized predictive models that consider ethnic and demographic variations, thus aligning with educational goals in health sciences.
III. Methodology
This section details the methodological framework employed in the study, including participant selection criteria and measurement techniques. The study involved 812 healthy Javanese elderly individuals, and various anthropometric measurements were taken. The methodology emphasizes the importance of rigorous data collection and analysis in developing predictive models, contributing to the educational objective of fostering research skills in health and nutrition.
IV. Results
The results section presents the findings of the study, indicating the correlations between height and various predictors. It highlights that arm span showed the strongest correlation with actual height among the elderly participants. The significance of these findings is discussed in the context of existing literature, providing insights into the applicability of different predictive equations for the elderly population. This section underscores the importance of data interpretation skills in academic settings.
V. Discussion
In the discussion, the implications of the findings are explored, particularly how the developed predictive models can improve the accuracy of nutritional assessments in elderly populations. It addresses the limitations of previous models and emphasizes the necessity for culturally relevant tools in geriatric care. This aligns with educational outcomes focused on critical thinking and application of research in real-world scenarios.
VI. Conclusion
The conclusion summarizes the key findings and their relevance to public health and nutritional strategies for the elderly. It advocates for the adoption of the developed predictive models in clinical practice and policy-making. This section reinforces the educational objective of translating research findings into practical applications that benefit community health and wellness.
VII. Recommendations
This section provides recommendations for future research and practice based on the study's findings. It suggests further exploration of predictive models across different ethnic groups and emphasizes the need for training healthcare professionals in anthropometric assessments. This aligns with educational outcomes aimed at enhancing professional competencies in health and nutrition.
Referensi Dokumen
- Body composition and fat distribution pattern of urban elderly females, Delhi, India ( Tyagie R., Satwanti Kapoor, Anup Kumar K. )
- State of World Population 2007 ( UNFPA )
- Nutritional Epidemiology second edition ( Willett W. )
- Physical Status: The Use and Interpretation of Anthropometry ( World Health Organization Expert Committee )
- Assessment of Fracture Risk and its Application to Screening for Postmenopausal Osteoporosis ( World Health Organization )
