Background
Dental problems are major public health concerns worldwide [
1] and have negative consequences on the quality of life [
2]. Oral and dental problems impose a substantial economic burden on individuals, their families as well as the health system. Treatments of oral diseases are costly, especially for low-income and deprived households [
1]. Direct and indirect costs of oral diseases account for approximately 7% of the total health expenditures, implying the importance of oral hygiene behaviors for oral disease prevention [
3]. Although oral and dental problems can be avoided by appropriate oral hygiene behaviors and preventive self-care practices, these problems continue to persist in many countries around the world [
4,
5].
It has been shown that oral hygiene is a cost-effective and self-performed preventive strategy in improving oral health conditions. Proper oral health behaviors such as tooth brushing, dental flossing and receiving regular dental checkups are effective strategies to prevent tooth decay, and periodontal diseases [
5,
6]. According to the American Dental Association (ADA), regular habits of tooth brushing (at least twice a day) and flossing (at least once a day) can effectively prevent oral problems [
7]. A systematic review concluded that flossing, in addition to tooth brushing, reduces gingivitis compared to tooth brushing alone [
8]. Although compliance with the ADA recommendation of oral hygiene behaviors is highly recommended [
7], some studies have shown that a large proportion of individuals brush and floss their teeth less than what is suggested [
9,
10]. Poor oral health behaviors, especially poor dental self-cares (e.g. tooth brushing and dental flossing) and non-use of dental service are associated with the dental impairments, and thus reduced oral health-related quality of life [
11]. Considerable evidence indicates that the prevalence of dental problems is unequally distributed across socioeconomic groups: individuals with lower socioeconomic status (SES) have a higher burden of dental diseases than their higher SES counterparts [
12‐
15]. Socioeconomic-related inequalities in oral health status have been observed in low-, middle-, and high-income countries [
16,
17], so that higher SES individuals clean their teeth more effectively and frequently and use more self-performed preventive strategies [
18].
Despite the growing number of studies on socioeconomic-related inequalities in several health indicators, there is a notable paucity of studies measuring socioeconomic inequalities in oral hygiene behaviors. For instance, a study conducted in Iran has indicated a pro-rich inequality in oral hygiene behaviors in Iranian children and adolescents [
19]. Although the existing studies in Iran and other countries [
9,
15,
20] have assessed the relationship between socioeconomic factors and oral health conditions, these studies did not measure the magnitude of socioeconomic-related inequalities or identify factors that explain such inequalities in dental hygiene behaviors. Specifically, it is very little evidence on daily tooth brushing and dental flossing as specific oral hygiene behaviors among middle-aged and older adults in Iran. Therefore, this study contributes to our understanding of oral hygiene behaviors among middle-aged and older adults in Iran, as most studies in the field have focused on children and adolescents. This study aimed to quantify and decompose socioeconomic inequalities in oral hygiene behaviors (tooth brushing and dental flossing) among 14 out of the 31 provinces of Iran, covering almost all ethnic groups in all geographic areas. We believe that the data from these provinces have the potential to measure socioeconomic-related inequalities in oral hygiene behaviors at the national level.
Discussion
In this study, we quantified and decomposed socioeconomic inequalities in oral hygiene behaviors among cohort centers located in 14 different provinces of Iran. There is a current paucity of empirical research focusing specifically on measuring and decomposing socioeconomic inequalities in dental self-care behaviors in the middle-aged and elderly adults at the national level in Iran. Evidence has shown the role of various factors, including dietary habits (e.g. Sugar intake), use of fluoride, regular dental visit and dental self-care practice on oral health status [
4,
29]. Among these factors, this study has focused on oral hygiene behaviors.
Overall, our findings indicated a very low prevalence of individuals with recommended oral hygiene behaviors in Iran. We also found the presence of a relatively high degree of inequality in oral hygiene behaviors favoring individuals with higher SES. A possible explanation for the low prevalence of two studied hygiene behaviors may be due to the use of other oral hygiene aids in Iran including Miswak (salvadora persica), mouthwash etc. Unfortunately, there is no prevalence study on the use of Miswak in Iran at the national level and it would be interesting to examine the prevalence of Miswak use at a national level study.
A low prevalence of preventive oral hygiene behaviors indicated unsatisfactory adherence to oral hygiene behaviors in middle-aged and older adults in Iran. Previous studies [
9,
30] also highlighted poor dental hygiene behaviors in Iran. We found that only 3.4% of middle-aged and elderly adults included in the study followed the two recommended hygiene behaviors. A study conducted in the general population in 2011 with 12,105 individuals in Iran reported a prevalence of 5.7% for both oral hygiene behaviors [
9]. Our study showed a higher prevalence of brushing at least twice a day (64.6%) compared to that of the previous study in Iran (20.1%). This may indicate an improvement in adopting adequate tooth brushing behavior as a result of health education campaigns in Iran. Another explanation could be due to age differences between our study and the previously mentioned study in Iran (a mean age of 49.3 in our study versus a mean age of 37.8 in the previous mentioned one). This seems to be consistent with a study by Maes et al. which found that the prevalence of tooth brushing increased with increasing age, demonstrating an improvement in adopting the habit of brushing at least twice a day when young individuals were approaching adulthood [
31]. We also found a prevalence of 15.9% for flossing behavior. This result is similar to that reported by the previous Iranian study [
9] that found a prevalence of 16.8% for this hygiene behavior.
In addition to a low prevalence of oral hygiene behaviors, we found an unequal distribution of preventive dental self-care habits favoring individuals with higher SES in Iran. Recent studies also documented a significant increase in the differences in the oral health status of high and low SES individuals [
19]. Part of oral health inequalities could be explained by this that high-SES are more likely to engage in healthy behaviors than individuals in low SES groups [
32‐
34]. Previous studies conducted on socioeconomic inequality in the field of oral health in different countries generally indicated the presence of inequality in oral health status and behaviors [
33,
35‐
37]. For example, consistent with our findings, a study conducted in Iran showed a pro-rich inequality in oral hygiene behaviors among children and adolescents [
19]. Some studies have also indicated socioeconomic inequality in using dental care services and oral hygiene products such as toothbrushes and mouthwashes [
33,
36,
38,
39]. A study in the UK also found a considerable socioeconomic inequality in oral health status favoring the better-offs [
37]. Even though some previous research mentioned in this study were different in their oral health indicators as the outcome variables, the results of our study corroborate a pro-rich inequality in oral health indicators in general. Surprisingly, there was a pro-rich inequality for the dental flossing while a pro-poor gradient for tooth brushing was observed. A possible explanation for this is that more educated individuals and those with higher SES are probably more aware of oral health practices. In addition to using toothbrushes, they may also use other types of oral hygiene products compared to less educated and disadvantaged ones. On the other hand, less educated and lower-SES individuals probably are not aware of different oral hygiene products or they can only afford to pay for tooth brushing.
A primary and significant step towards reducing the observed socioeconomic inequality in oral hygiene behaviors is to estimate the contribution of determinants to such inequalities. Similar to a previous study [
40], our decomposition analysis suggested SES and education level as the two main factors contributing to the observed inequality in oral hygiene behaviors. Apart from these two factors, the province of residence and age group made positive contributions to the socioeconomic-related inequality in oral hygiene behaviors. These results imply that the socioeconomic-related inequality in oral hygiene behaviors would have been reduced if these determinants had no impact on oral hygiene behaviors or were equally distributed across the SES groups. Socioeconomic status contributed to the concentration of oral hygiene behaviors among high SES individuals because, for example, higher SES allows individuals to pay for dental hygiene products or services, whereas the individuals of lower SES groups may not comply with the recommended oral hygiene behaviors due to their inability to pay for dental hygiene products or services [
40]. Higher education level was another major contributor to pro-rich inequality in oral hygiene behaviors because highly-educated individuals are generally wealthier than less-educated ones and they are well-informed about the importance of tooth brushing and the use of dental floss for oral health gains [
33] which, in turn, resulted in more adherence to preventive oral hygiene behaviors [
41]. Interestingly, in a study by Chung et al., low-income individuals with a higher level of education reported better oral health behaviors including tooth-brushing and dental visits than high-income individuals with a lower level of education [
41]. Particularly, health literacy has been shown to be associated with engaging in oral health-promoting behaviors and also oral health status [
42,
43]. For example, Ueno et al. showed a significant association between oral health literacy and oral hygiene status and oral health behaviors [
43]. It has been argued that a possible way to reducing oral health inequalities is improving the oral health literacy of all socio-demographic groups [
44].
Our findings suggested that policy interventions for reducing inequalities in preventive oral hygiene behaviors should focus more on low-SES and less-educated adults in Iran. For example, providing special services to individuals of low-SES groups and presenting educational programs for improving oral health literacy especially in people with lower levels of education may mitigate socioeconomic inequality in the oral hygiene behaviors in Iran. Another possible explanation for socioeconomic inequalities in oral hygiene behaviors is psychosocial factors, e.g. psychological distress, work-related stress, social capital, and sense of coherence that have not been included in our study. These factors may play an additional role in explaining oral hygiene inequality and could be considered in future studies [
12,
45‐
47].
A key strength of the study was that we used a large national sample to examine socioeconomic inequality in oral hygiene behaviors in cohort centers located in 14 different provinces in Iran. The large sample size gave us the opportunity to assess the regional variations in socioeconomic-related inequalities in oral hygiene behaviors in Iran. The novelty in the selection of middle-aged and older adults was another strength of the study. Nonetheless, our study has some limitations. First, although we used all the participants of the PERSIAN Cohort study in our analysis, the generalizability of our findings is limited because the PERSIAN Cohort study collects information from 14 out of 31 provinces in Iran. The results, therefore, need to be interpreted with caution. Second, due to the cross-sectional design of the study, we cannot establish the causality between determinants and oral hygiene behaviors in the decomposition analysis. Third, we used self-reported data on healthy oral hygiene behaviors may be affected by social desirability bias. Lastly, we had no access to data on diet habit at the time of the analysis. In addition, the information about dental visit has not been included in the questionnaire of the PERSIAN cohort.
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