Literature DB >> 15025225

The application of multilevel modeling in the analysis of longitudinal periodontal data--part II: changes in disease levels over time.

Yu-Kang Tu1, Mark S Gilthorpe, Gareth S Griffiths, Ian H Maddick, Kenneth A Eaton, Newell W Johnson.   

Abstract

BACKGROUND: The aim of this study was to investigate the longitudinal relationships between the outcome measurements of changes in lifetime cumulative attachment loss (cLCAL) and changes in probing depth (cPD) in relation to potential risk factors or other risk markers for periodontal disease progression from a cohort of 100 young males. In order to account for the hierarchical data structure, and to explore explicitly the site, tooth, and subject levels simultaneously, multilevel modeling was undertaken.
METHODS: The analyses were undertaken in two parts. Within a previous article, the absolute levels of disease were analyzed in relation to potential risk factors; within this article, changes in disease are analyzed in relation to these factors. Each analytical approach yielded substantively different insights.
RESULTS: Subject-level risk factors had limited predictive value for cLCAL/cPD throughout the 30-month observation period. Tooth position demonstrated a near linear relationship for both outcomes, with disease increasing from anterior to posterior teeth. Supragingival plaque had no significant effect on cLCAL/cPD, while subgingival calculus and bleeding on probing were negatively associated with cLCAL/cPD. In contrast to the outcomes LCAL/PD, supragingival calculus had no significant protective effect on cLCAL/cPD. There was no significant influence of smoking in this cohort.
CONCLUSIONS: This study provides, for a relatively young cohort, considerable insights into the factors associated with longitudinal patterns of early-life periodontal disease at all levels of the natural hierarchy of sites within teeth within subjects. Furthermore, it is demonstrated how multilevel modeling can provide considerable insight into some of the inconsistencies and controversies found in the previous periodontal literature.

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Mesh:

Year:  2004        PMID: 15025225     DOI: 10.1902/jop.2004.75.1.137

Source DB:  PubMed          Journal:  J Periodontol        ISSN: 0022-3492            Impact factor:   6.993


  4 in total

Review 1.  Analysis of periodontal data using mixed effects models.

Authors:  Young Il Cho; Hae-Young Kim
Journal:  J Periodontal Implant Sci       Date:  2015-02-25       Impact factor: 2.614

2.  Site-level progression of periodontal disease during a follow-up period.

Authors:  Yoshiaki Nomura; Toshiya Morozumi; Taneaki Nakagawa; Tsutomu Sugaya; Masamitsu Kawanami; Fumihiko Suzuki; Keiso Takahashi; Yuzo Abe; Soh Sato; Asako Makino-Oi; Atsushi Saito; Satomi Takano; Masato Minabe; Yohei Nakayama; Yorimasa Ogata; Hiroaki Kobayashi; Yuichi Izumi; Naoyuki Sugano; Koichi Ito; Satoshi Sekino; Yukihiro Numabe; Chie Fukaya; Nobuo Yoshinari; Mitsuo Fukuda; Toshihide Noguchi; Tomoo Kono; Makoto Umeda; Osamu Fujise; Fusanori Nishimura; Atsutoshi Yoshimura; Yoshitaka Hara; Toshiaki Nakamura; Kazuyuki Noguchi; Erika Kakuta; Nobuhiro Hanada; Shogo Takashiba; Yasuharu Amitani; Hiromasa Yoshie
Journal:  PLoS One       Date:  2017-12-04       Impact factor: 3.240

3.  Risk factors of chronic periodontitis on healing response: a multilevel modelling analysis.

Authors:  J Song; H Zhao; C Pan; C Li; J Liu; Y Pan
Journal:  BMC Med Inform Decis Mak       Date:  2017-09-15       Impact factor: 2.796

4.  Endpoints of active periodontal therapy.

Authors:  Bruno G Loos; Ian Needleman
Journal:  J Clin Periodontol       Date:  2020-07       Impact factor: 8.728

  4 in total

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