Meningkatnya populasi lansia di dunia termasuk Indonesia merupakan dampak dari kemajuan ilmu pengetahuan dan teknologi bidang kesehatan dan sosial ekonomi. Keadaan ini mengakibatkan bertambahnya berbagai penyakit lanjut usia termasuk gigi dan mulut. Berbagai faktor risiko yang muncul seiring proses penuaan mengakibatkan hilangnya gigi geligi. Akan tetapi faktor risiko yang paling berperan dengan kehilangan gigi di Indonesia masih belum diketahui. Tujuan penelitian ini memperoleh indeks prediksi kehilangan gigi berdasarkan faktor-faktor risiko. Penelitian ini menggunakan desain kasus kontrol pada 208 lansia berusia >60 tahun, 82 subjek kasus dengan kehilangan gigi >12 dan 126 kontrol dengan kehilangan gigi < 12. Mayoritas subjek adalah perempuan 82,7%; usia >65 tahun 53,9%; pendidikan menengah 51,9%, kebersihan mulut sedang 51,2%, pendarahan gusi ringan 44,4%; penghasilan rendah 94,7%; periodontal indeks berat 61,2%; tekanan darah tinggi 79,8%; fungsi kognitif normal 74,5%; dugaan diabetes melitus 22,6%; perilaku baik 52,4%; kepadatan tulang normal 81,6%, kehilangan perlekatan gingiva baik 62,9%, aktivitas sehari-hari normal 90,4%. Model akhir yang didapat adalah dugaan diabetes melitus, perilaku, dugaan demensia, kehilangan perlekatan sedang dan buruk memiliki hubungan dengan kehilangan gigi pada lansia. Penelitian ini menghasilkan suatu indeks prediksi kehilangan gigi dengan faktor risiko yang paling berperan terhadap kehilangan gigi pada lansia.
The expanding population of elders in Indonesia and worldwide influenced by the advances in science and technology, especially the health and socio-economic progress. The aging process results in susceptibility to infection of the oral cavity resulting in loss of teeth. The aim of this study was to develop and test a model of tooth loss prediction index based on risk factors. A case-control study was conducted among 208 elders aged above 60 years old, 82 subjects who had lost more than 12 teeth were participated as case group while 126 subjects who had lost 12 or less teeth were participated as control group. At examination, 53.9% of participants were aged above 65 years old, with 82.7% females, 51.9% were middle educated, 51.2% have moderate oral hygiene level, 44.4% have mild level of gingival bleeding, 94.7% have low income, 61.2% have severe periodontal index, 79.8% having hypertention, 74.5% having normal cognitive function, 22.6% diabetes melitus, 52.4% having good oral health behavior, 81.6% with normal bone density, 62.9% good level of gingival attachment loss, 90.4% having normal daily activity. Logistic regression analyses demonstrated that diabetes melitus, oral health behavior, cognitive function, moderate and severe level of gingival attachment loss were associated with tooth lost. The study produced a tooth loss prediction index based on risk factors most responsible for tooth loss in elderly.