Job characteristics and the subjective oral health of Australian workers

Comparison of risk factors for tooth loss between professional drivers and white-collar workers: an internet survey

This cross-sectional study was conducted to examine tooth loss and associated factors among professional drivers and white-collar workers. The participants were recruited by applying screening procedures to a pool of Japanese registrants in an online database. The participants were asked to complete a self-reported questionnaire. A total of 592 professional drivers and 328 white-collar workers (male, aged 30 to 69 years) were analyzed. A multiple logistic regression analysis was performed to identify differences between professional drivers and white-collar workers. The results showed that professional drivers had fewer teeth than white-collar workers (odds ratio [OR], 1.74; 95% confidence interval [95% CI], 1.150-2.625). Moreover, a second multiple logistic regression analysis revealed that several factors were associated with the number of teeth among professional drivers: diabetes mellitus (OR, 2.68; 95% CI, 1.388-5.173), duration of brushing teeth (OR, 1.66; 95% CI, 1.066-2.572), frequency of eating breakfast (OR, 2.23; 95% CI, 1.416-3.513), frequency of eating out (OR, 1.70; 95% CI, 1.086-2.671) and smoking status (OR, 2.88; 95% CI, 1.388-5.964). These findings suggest that the lifestyles of professional drivers could be related to not only their general health status, but also tooth loss.

Dental visiting history between ages 13 and 30 years and oral health-related impact

BACKGROUND

The aim was to assess the role of visit history factors between the age of 13 and 30 years on oral health-related impact.

MATERIALS AND METHODS

In 1988-89, n=7,673 South Australian school children aged 13 years were sampled with n=4,604 children (60.0%) and n=4,476 parents (58.3%) returning questionnaires. In 2005-06, n=632 baseline study participants responded (43.0% response of those traced and living in Adelaide). Oral health impact was measured at age 30 years using OHIP-14.

RESULTS

Multivariate regression showed that OHIP scores were significantly higher (P<0.05) for those with episodes of relief of pain visits once (β=1.487) or two or more times (β=2.883), and episodes of extraction once (β=1.301) or two or more times (β=3.172). Higher positive dental visit attitude scores were associated with lower OHIP scores (β=-1.265), as were being male (β=-0.637), having a job (β=-1.555) and being tertiary educated (β=-0.632).

CONCLUSIONS

History of adverse dental events between the age of 13 and 30 years such as episodes of relief of pain visits and episodes of extraction was associated with higher impact of oral health problems at age 30 suggesting a cumulative effect.

Impact of dental care on oral health-related quality of life and treatment goals among elderly adults

BACKGROUND

General dental care can effectively control disease and restore damaged tissue, yet little is known about its impact on patients' subjective oral health, namely treatment goals and oral health-related quality of life (OHRQoL). This study aimed to evaluate change in both aspects of subjective oral health among elderly adults receiving publicly-funded, general dental care.

METHODS

We conducted a prospective, single-group intervention study of adults aged 75+ years receiving care through the South Australian Dental Service (SADS). Before receiving dental care, subjects completed the Oral Health Impact Profile (OHIP-14) questionnaire which evaluates OHRQoL. In this questionnaire, subjects rated the extent to which they had attained a self-nominated oral health goal. Dentists provided standard-of-care treatment and six months later the OHIP-14 and goal attainment questions were re-administered.

RESULTS

Among the 253 adults studied, overall improvements in OHRQoL were observed (p < 0.05), although the effect was dependent on pre-treatment goal: mean OHIP-14 scores did not change significantly for subjects whose goal was less pain/discomfort while significant improvements were observed for subjects with other treatment goals. In contrast, mean goal attainment ratings improved significantly (P < 0.05), regardless of treatment goal categories.

CONCLUSIONS

Dental care was associated with improvements in subjective oral health, although different patterns of improvement were observed for OHRQoL compared with goal attainment ratings.

Why do poor adults rate their oral health poorly?

BACKGROUND

The reasons why socioeconomic circumstances are associated with oral health are not well understood. This study investigated whether psychosocial factors might play an explanatory role.

METHODS

Cross-sectional survey data were used from the 1999 National Dental Telephone Interview Survey together with information from an accompanying questionnaire sent to adult interviewees. Household income and self-rated oral health were assessed with single items and life dissatisfaction, personal constraint and perceived stress were evaluated with standard psychometric scales. Bivariate associations were tested using chi-square and ANOVA and odds ratios estimated for low self-rated oral health using logistic regression.

RESULTS

Response to the questionnaire was 64.6 per cent and analysis was limited to dentate adults (n = 3678). Low household income was positively associated with low self-rated oral health. Higher dissatisfaction with life, personal constraint and perceived stress scores were associated with low income and with low self-rated oral health. After adjusting for gender, age, income and missing teeth, adults with high personal constraint scores had greater odds of low self-rated oral health (OR 1.26; 1.10-1.43) as had adults with higher perceived stress scores (OR 1.69; 1.34-2.13).

CONCLUSION

Psychosocial factors are important in understanding pathways between socioeconomic position and oral health status.