Self-reported oral health and quality of life: a latent growth curve analysis
Self-reported oral health and quality of life: a latent growth curve analysis
Background: The longitudinal associations between oral health (OH) and physical and mental health-related quality of life (HRQoL) are unclear. Purpose: This study examined the relationship of self-reported OH with the trajectories of physical and mental HRQoL in Hong Kong at 3, 9, and 15 months after the measurement period using a latent growth curve model. Methods: This study included 5,710 participants recruited in the FAMILY project cohort study during March-October 2009. Self-report OH was measured using a five-point single-item scale, and HRQoL was measured using the physical component scale (PCS) and mental component scale (MCS) of Short Form 12. Latent growth curve model was used to compute the relationship of self-reported OH with the trajectories on HRQoL over time, adjusted for age and sex. Results: The latent growth curve model gave good fit to both the PCS (normed fit index (NFI)=0.98, comparative fit index (CFI)=0.99, and standardized root mean square residual (SRMR)=0.03) and MCS (NFI=0.97, CFI=0.98, and SRMR=0.03). Better self-reported OH was associated with higher PCS and MCS at the baseline. The longitudinal association with PCS remained constant over time (coefficient=-0.02, p=0.07) but that with MCS diminished over time with baseline oral health status (coefficient=-0.04, p=0.002). Conclusion: Better self-reported OH status was associated with higher level of physical and mental HRQoL, and with negative change in mental HRQoL.
Dentistry, Epidemiology, Longitudinal, Structural equation model, Survey
358-363
Lee, Paul H.
02620eab-ae7f-4a1c-bad1-8a50e7e48951
McGrath, Colman P.J.
787c6737-ea7c-47ab-a6c7-bb48575bc51f
Kong, Angie Y.C.
7d0fad32-d797-4548-bf61-bf68ece70565
Lam, T. H.
1543fdd3-13ce-411b-8dac-d84cda48773e
25 April 2014
Lee, Paul H.
02620eab-ae7f-4a1c-bad1-8a50e7e48951
McGrath, Colman P.J.
787c6737-ea7c-47ab-a6c7-bb48575bc51f
Kong, Angie Y.C.
7d0fad32-d797-4548-bf61-bf68ece70565
Lam, T. H.
1543fdd3-13ce-411b-8dac-d84cda48773e
Lee, Paul H., McGrath, Colman P.J., Kong, Angie Y.C. and Lam, T. H.
(2014)
Self-reported oral health and quality of life: a latent growth curve analysis.
International Journal of Behavioral Medicine, 21 (2), .
(doi:10.1007/s12529-013-9310-5).
Abstract
Background: The longitudinal associations between oral health (OH) and physical and mental health-related quality of life (HRQoL) are unclear. Purpose: This study examined the relationship of self-reported OH with the trajectories of physical and mental HRQoL in Hong Kong at 3, 9, and 15 months after the measurement period using a latent growth curve model. Methods: This study included 5,710 participants recruited in the FAMILY project cohort study during March-October 2009. Self-report OH was measured using a five-point single-item scale, and HRQoL was measured using the physical component scale (PCS) and mental component scale (MCS) of Short Form 12. Latent growth curve model was used to compute the relationship of self-reported OH with the trajectories on HRQoL over time, adjusted for age and sex. Results: The latent growth curve model gave good fit to both the PCS (normed fit index (NFI)=0.98, comparative fit index (CFI)=0.99, and standardized root mean square residual (SRMR)=0.03) and MCS (NFI=0.97, CFI=0.98, and SRMR=0.03). Better self-reported OH was associated with higher PCS and MCS at the baseline. The longitudinal association with PCS remained constant over time (coefficient=-0.02, p=0.07) but that with MCS diminished over time with baseline oral health status (coefficient=-0.04, p=0.002). Conclusion: Better self-reported OH status was associated with higher level of physical and mental HRQoL, and with negative change in mental HRQoL.
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Published date: 25 April 2014
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Funding Information:
This study was part of the FAMILY Project cohort study, funded by a local charity, the Hong Kong Jockey Club Charities Trust, as an Initiative for a Harmonious Society. Sampling was based on a random selection of residential addresses provided by the Hong Kong Census and Statistics Department. A family was eligible when all members aged 15 years or older, who lived in the same address and could understand Cantonese, agreed to participate. For the present analyses, we used baseline data on the first 5,000 families interviewed during March–October 2009. All eligible members were interviewed by trained interviewers who entered the data into tablet PCs. The details of the interview had been described in the FAMILY Project website (http:// www.family.org.hk/lang/en-us/household-survey) and elsewhere [13]. Telephone/web-based follow-ups were conducted after the participants had completed the household interviews for 3, 9, and 15 months. As poor OH has both short-term (e.g., pain due to irreversible pulpitis) and long-term (e.g., tooth loss due to chronic periodontitis) impact on HRQoL, these time intervals were able to capture both acute and long-term effect of the health discrepancy at baseline. Only the first 5,000 families were included as the HRQoL of the remaining families were not assessed in the telephone/ web-based follow-ups. Over 95 % of the follow-up interviews were conducted via telephone, while less than 5 % were done using internet surveys. The follow-up rates were 64 % at 3 months, 75 % at 9 months, and 68 % at 15 months, and only those completing all follow-ups (n=5,710, 46 %) were included in the present analysis. Written consent was obtained from participants (parental consent was also obtained for participants under 18) and this study was approved by the Institutional Review Board of the University of Hong Kong (reference number UW 09–387).
Keywords:
Dentistry, Epidemiology, Longitudinal, Structural equation model, Survey
Identifiers
Local EPrints ID: 475494
URI: http://eprints.soton.ac.uk/id/eprint/475494
ISSN: 1070-5503
PURE UUID: 494c2eeb-dddf-4b0b-a92f-a50925689114
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Date deposited: 20 Mar 2023 17:43
Last modified: 18 Mar 2024 04:09
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Contributors
Author:
Paul H. Lee
Author:
Colman P.J. McGrath
Author:
Angie Y.C. Kong
Author:
T. H. Lam
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