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Occupational stress and self-perceived oral health in Brazilian adults: a Pro-Saude study

 

Estresse no trabalho e autopercepção de saúde oral entre adultos brasileiros: Estudo Pró-Saúde

 

 

Giovana Pereira da Cunha ScalcoI; Claides AbeggI; Roger Keller CelesteI; Yara Hahr Marques HökerbergII; Eduardo FaersteinIII

IDepartamento de Odontologia Preventiva e Social, Faculdade de Odontologia, Universidade Federal do Rio Grande do Sul. R. Ramiro Barcelos 2492/3º, Rio Branco. 90035-003 Porto Alegre  RS. giscalco@hotmail.com
IIInstituto de Pesquisa Clínica Evandro Chagas, Fundação Oswaldo Cruz
IIIDepartamento de Epidemiologia, Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro

 

 


ABSTRACT

The scope of this study is to investigate the association between occupational stress and self-perception of oral health. Data were obtained through a self-administered questionnaire filled out in a Pró-Saúde Study by 3253 administrative technical staff from Rio de Janeiro's State University. Occupational stress was measured by means of a questionnaire elaborated in 1970 by Karasek, duly shortened by Thorell in 1988. Ordinal logistic regression was used for data analysis, subsequently adjusted for three blocks of variables. Workers exposed to high occupational demands and little occupational control and to passive work had higher chances of self-perception of worse oral health, when compared with those exposed to low occupational demands, there being no association observed in those exposed to active work. However, in the multiple regression model the following estimates were reduced in magnitude and lost statistical significance, namely high occupational demands and passive work. Workers exposed to high occupational demands revealed worse self-reported oral health, which seems to be partly explained by health behavior patterns, the presence of oral health problems and seeking dental services at longer intervals than once per year.

Key words  Occupational stress, Self-perception of oral health, High occupational demands, Passive work, Oral health.


RESUMO

O objetivo deste estudo é investigar a associação entre estresse no trabalho e a autopercepção de saúde bucal. Os dados foram obtidos por meio de questionário de autopreenchimento de 3.253 funcionários técnicos administrativos da Universidade Estadual do Rio de Janeiro em um Estudo do Pró-Saúde. O estresse no trabalho foi medido por meio de um questionário elaborado por Karasek em 1970 e reduzido por Theorell em 1988. Para a análise dos dados, utilizou-se regressão logística ordinal, posteriormente ajustada para três blocos de variáveis. Trabalhadores expostos a alta exigência e pouco controle no trabalho e ao trabalho passivo, tiveram maiores chances de perceber pior saúde bucal, quando comparados àqueles expostos a baixa exigência no trabalho, não se observando associação com aqueles expostos ao trabalho ativo. Entretanto, no modelo de regressão múltipla, estas estimativas reduziram em magnitude e perderam significância estatística, a saber: alta exigência e trabalho passivo. Funcionários expostos à alta exigência no trabalho apresentaram pior saúde bucal autorreferida que parece ser em parte explicada pelas comportamentais em saúde, presença de problemas de saúde bucal e uso de serviços odontológicos com uma frequência maior do que uma vez ao ano.

Palavras-chave  Estresse no trabalho, Autopercepção de saúde bucal, Alta exigência no trabalho, Trabalho passivo, Saúde bucal


 

 

Introduction

Research has shown that work environment is one of the main causes of stress1. In addition, job stress has been the subject of several studies evaluating the relationship between psychosocial factors and health2. Stress, including job stress, can enhance the adoption of non healthy behaviors, such as worsening tooth brushing and smoking3-5. Moreover, there is evidence suggesting that job stress is an important risk indicator for oral health outcomes6-9.

According to the Demand Control model (DC model), job strain occurs when workers are exposed simultaneously to high psychological demands and low decision latitude (control) at work10. The Demand-Control-Support Questionnaire (17 items) is a modified version of the Job Content Questionnaire (49 items)11, which was adapted and validated for the Brazilian culture12,13. The Karasek's quadrant classified workers in four categories: 1) high job strain - a combination of high demands and low control, hypothesized to increase the risk of stress-related illness; 2) passive job - low demands and control; 3) active job - high demands and control; 4) low strain - low demands and high control.

Few studies have investigated the association between job stress and oral health using the demand control instrument4,14,15. One of the first investigations found a positive association between job stress and periodontal disease15. Another study has demonstrated that individuals with more flexibility in their working time schedule have higher frequency and better quality of tooth brushing compared to those with less flexibility4. More recently, Söderfeldt et al. found an association between job stress and self-perceived oral health15. In all studies, only some dimensions of job stress were explored, and the influence of social support at work on oral health has not been described. Research using the four Karasek's quadrants of the original scale has not been investigated, which could be important to support these studies.

There is evidence of a relationship between job stress and self-perceived (general) health16. It may be argued that this association could also be observed in relation to oral health, since job stress favors the adoption of unhealthy behaviors that can worsen one's perception of oral health3-5. Studies are needed to confirm the existence of this association and to elucidate its possible mechanisms in order to build strategies for reducing the impact of stress in the workplace. Therefore, the aim of the present study is to investigate the relationship between job stress and self-perceived oral health among university public servers.

 

Methods

This is a cross-sectional study using the baseline (1999-2001) data from the cohort Pró-Saúde Study17. The study participants were all non-faculty civil servants, employees of the University of the Rio de Janeiro State. All employees were considered eligible, excluding those on a temporary basis, transferred, inactive or on sick/maternal leave. A total number of 3253 employees participated in both years, providing baseline data17. Data were collected in the workplace through a self-administered questionnaire. Regarding the ethical aspects, the study was approved by the Ethics Committee in Research of Hospital Universitário Pedro Ernesto within the standards required by Declaration of Helsinki.

Independent Variables

Job stress was measured using the Demand-Control-Support Questionnaire (DCSQ) proposed by Theorell in 1988 and adapted to the Brazilian Portuguese12 . The DCSQ has 17 items distributed in 3 subscales: psychological demands (5 items), control (6 items) and social support at work (6 items). The score of the first two subscales is the sum of the item scores, based on four answer options ranging from 'often' (4 points) to 'never/almost never' (1 point). The scores were dichotomized at the median (demand < 15 and control < 17) as proposed by Macedo et al.18. Subjects were classified according to the Karasek quadrants: 1) high strain (high demand and low control), 2) passive job (low levels of demand and control), 3) active job (high demand and control) and 4) low strain (low demand and high control), the reference category.

Dependent Variable

The outcome studied is self-perceived oral health. This variable was collected by the question: "In general, as you consider your state of oral health (teeth and gums)? It has four options ranging from "very good" to "very bad", with scores ranging from 1 to 4, respectively19.

Covariates

Three blocks of covariates were considered. The first included socio-demographic variables, considered potential confounding factors: age in years, sex (male/female), household income was equivalized using the square root of the number of residents, then converted to minimum wages, and education (University degree or more/complete high school/less than high school). The second block included distal mediator variables: smoking (never smoker/ex-smoker/smokers), self-perceived general health (4 options from "very good" to "very bad"), and the DCSQ subscale of social support at work that was dichotomized at the median (< 20). The third block consisted of proximal mediators: self-reported tooth loss (4 answer options ranging from "none" to "all or almost all"), dental pain in the last two weeks (yes/no) and frequency of dental visit (once a year/every two years or more/only when in trouble).

Statistical Analysis

Bivariate analysis results were presented in a contingency table and the chi-square test were used to evaluate the association between job strain and self-perceived oral health. Multivariate analyses were carried out fitting ordinal logistic regression with partial proportional models according to Hosmer and Lemeshow20. The Brand test for all covariates (α was set to 1% significance) was used to assess the proportional odds assumption. When any variable violated the proportional odds assumption it was used partial proportional models. This assumption was not violated by the job strain variable in any model.

To evaluate the impact of a set of similar variables, maybe collinear, we built one model for every block of similar variables previously described. For the final model only those variables with p < 0.20 within each previous model were retained. The main exposure variable was included in all statistical models. Model fit was evaluated through two main parameters: Bayesian Information Criteria and adjusted pseudo-R2. The best (final) model was also assessing with goodness-of-fit test as described elsewhere20. All analyses were performed using Stata 11.2.

 

Results

Among the 3253 technical-administrative employees who participated in the two phases, 2770 were included in the final analysis (15.1% missing). Of these, 44.1% were male and the mean age was 42.5 years. Regarding socioeconomic status, average equivalized household income was 7.4 minimum wages (R$ 1,316.29) and 42.1% of employees had completed the university degree or more. Only 8.0% of the participants reported having lost all or almost all teeth, 2.8% had dental pain in the last two weeks, and 62% perceived their oral health as good or very good. With regard to job stress, 33.9% were classified as low strain (low demands / high control) and 14.5% as high strain (high demands / low control).

The association between job strain and self-perceived oral health was statistically significant (p < 0.01). In the high strain group, 11.9% perceived their oral health as very good and 1.9% as very bad, as compared to the low strain group, where 18.9% of subjects self-rated their oral health as very good and 0.6 % as very poor (Table 1).

In ordinal logistic regression crude analysis, compared to low strain group, employees exposed to passive and high strain jobs were more likely to be at the worse category of self-perceived oral health, with proportional odds ratio of 1.35 (95% CI: 1.14 to 1.59) and 1.66 (95% CI: 1.38 to 2.03), respectively. The magnitude of these estimates decreased when we adjusted for each block of variables (models M2 to M4, Table 2). Each block of variables contributed similarly to the reduction of the magnitude of the effect of job stress on self-perceived oral health. However, in the final model, these estimates lost statistical significance, with a proportion odds ratio of 1.10 (95% CI: 0.92 to 1.33) and 1.18 (95% CI: 0.94 to 1.49), respectively for passive and high strain jobs (model M5, Table 2). The variables that remained associated with worse self-perceived oral health were (Table 3): tooth loss, dental visits, dental pain, worse self-rated general health, smoking, education, income and age.

The final (fully adjusted) model presented the best fit (pseudo-R2= 14.3%; AIC = 2.16), followed by the block of proximal variables - oral health and dental visits (pseudo-R2= 9.2%; AIC = 2.27), the second block of distal variables (pseudo-R2= 6.1%; AIC = 2.36) and finally by the socio-demographic factors (pseudo-R2= 5.8%; AIC = 2.37).

 

Discussion

In this study, we found that workers simultaneously exposed to high job demands and low control at work seemed to have worse self-perceived oral health than those exposed to low job demands and high control at work. However, the magnitude of this estimate decreased after adjusting for three groups of variables (socio-demographic and other distal variables, and oral health/dental services) and lost statistical significance in the final (fully adjusted) model. The association between job stress and self-perceived oral health was confirmed by Söderfeldt et al.15. This study has found that individuals exposed to higher levels of job stress reported worse self-rated oral health.

In addition, the relationship between job stress and self-perceived general health has been investigated in other studies16,21,22. Authors who used some dimensions of the job stress scale have found a consistent association between job control and self-rated health16,22. In one study, those who had high psychological demands at work reported worse self-rated health22.

It is possible that in the present study, the variables smoking, self-rated general health, use of dental services, dental pain and tooth loss have mediated the relationship between job strain and self-perceived oral health. There is a strong evidence supporting the relationship between job stress and health risk behaviors such as smoking and low frequency of toothbrushing4,23. Distress may occur when individual's coping resources are not enough to deal with stressful stimulus24, favoring the adoption of unhealthy behaviors. At least one study reported that workers with less flexible work schedules presented lower frequency of tooth cleaning than those with high flexible schedules4. Smoking and poor tooth brushing are risk factors for periodontal disease and together can increase the risk of tooth loss23. Studies have shown that tooth loss is one of the most influential variables that explain self-perceived oral health19,25.

The strengths of this study include the large sample size and the use of cross-cultural adapted and validated measurement instruments12,13,17,26. However, there are some limitations. First, the response rate was 84.9%, but we do not believe that it would modify our results, giving the high number of subjects participating in the study. Second, the direction of the association between job strain and self-perceived oral health cannot be determined due to the cross-sectional design. Thirdly, we cannot rule out the presence of overlap between the perception of general health and oral health. The perception of general health influences the perception of oral health. Thus, people who have poor oral health may not perceive it as poor general health. The opposite can also happen, those workers who have had their general health compromised may underestimate the problems of oral health.

Studies such as the present are relevant as they explore individual and subjective health indicators which should be taken into consideration when measuring health conditions. Therefore, they not rely only on normative judgment, which is a limited and insufficient measure. Finally, further research with longitudinal design will be necessary to establish the causal relationships and to confirm the findings of the present study.

 

Collaborators

GPC Scalco, C Abegg, RK Celeste, YHM Hökerberg e E Faerstein participated equally in all stages of preparation of the article.

 

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Artigo apresentado em 10/08/2012
Aprovado em 22/09/2012
Versão final apresentada em 15/10/2012

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