Key points

  • Highlights the improvement in dental care utilisation among older adults in the UK within a decade (1998-2009).

  • Discusses the influence of living alone on oral health outcomes.

  • Examines the relationship between dental care utilisation pattern and oral health outcomes of older adults in the UK.

Introduction

The increasing populations of older adults in many countries have already been documented, and the future projections for older populations are well apprehended.1 It has been reported that the UK population is steadily growing older.1 For instance, the Office for National Statistics (ONS) reported that the population of older adults age 65 years and over in the UK increased over a 25-year period (1991-2016) from 9.1 million to 11 million, accounting for 15.8% of the total population.2 The ONS projected that this demography is expected to change, with further increase in the next 50 years, and the population of older adults moving up to 20.6 million making up 26% of the UK population. The correlation between chronic diseases and ageing, makes it important for health and social care to be designed in a way to address the specific needs of the ageing societies. In the recent past, science has been able to significantly reduce the presence of acute infectious diseases thereby leading to an increase in life expectancy.2 However, there is a paradigm shift towards increase in chronic illnesses, yet many healthcare systems have not really adjusted to this reality.3,4 For instance, chronic diseases account for up to 80% of mortality and 90% of morbidity in the world today.3 Due to this dramatic change in illness pattern and changing population dynamics, there is a need for change from acute care to chronic care while focusing on health care delivery. Oral health as a component of general health can also impact the quality of life of older adults. This is because population ageing may also mean that older adults are able to keep their teeth much longer than before.5 For instance, older adults are now more at risk of oral diseases such as dental caries, gingivitis and periodontitis, and there is a significant increase in dental care utilisation among dentate older adults in the UK.6

Living arrangements have also been identified to precipitate some factors that influence the health of older adults and provide a link towards understanding the distribution of health outcomes among the ageing society. For example, family members or co-habitants have been known to play significant role in reducing dental anxiety and reinforcing positive dental perceptions.7 These perceptions may determine the attitude of individuals towards dental treatment and consequently their oral health outcomes.

Despite the emphasised importance of social support on health outcomes in older adults, there is a paucity of research that explored the influence of living arrangements on older adults' oral health outcomes.8 More importantly, reports from the ONS suggest that many older adults may begin to live alone as a result of an increasing life expectancy and rate of divorce among these individuals.9 It is therefore expected that changing demography and family structure may have a negative impact on the oral health status and dental care utilisation among older adults in the UK. In the present study, it is hypothesised that living together with someone in a household will increase the chances of dental care utilisation and good oral health status of older adults in the UK.

This study aims to explore the association between living arrangements and some factors related to oral health, especially among older adults living alone in the UK.

Materials and methods

This study is a secondary data analysis of the 2009 Adult Dental Health Survey (ADHS) collected in the UK. The ADHS 2009 data was accessed through the UK data archive and the study approved by the University of Southampton ethics and research governance online with submission number 20197.

Study population

The ADHS data is a nationally representative survey of dental health carried out every ten years since 1968, and the 2009 survey is the fifth in the series. The ADHS, a survey commissioned by the NHS Information Centre for health and social care, was conducted in consortium with Department of Health, Social Services and Public Safety in Northern Ireland, the Welsh Assembly Health Department, and Department of Health in England and managed by the Office for National Statistics.10 The data for the ADHS 2009 survey were collected from all sampled households with adults aged over 16 years using interviewer administered questionnaire (n = 11, 380). However, out of this number of respondents, 6,469 adults aged 16 years and over who had at least one natural tooth completed the clinical examination. The response rate for individuals within the households was 84% and the overall household response rate was 60%. This gave the survey the record of the largest epidemiological survey of dental health of the adult population in the United Kingdom.10

In this study, data from respondents aged 75 years and over that participated in the ADHS interview were examined (n = 1,254). Complete case analyses were carried out, which means that only respondents with complete data of the living arrangements and oral health outcomes for the control variables (age, gender, educational qualification and smoking status) were included in the analytical sample. Therefore, three respondents with missing information on the educational qualification were excluded from the analyses and so the analyses were conducted using the sample size (n = 1,251).

Seventy-five years of age was adopted as a threshold for this study based on the ONS life expectancy at birth (male = 79.1 and female = 82.8) of the UK population,11 using Norman Ryder's theory of defining old age at a threshold level of ten or <10 years real life expectancy.12 This alternative definition of old age takes into consideration the improvements in health and life expectancies across the population which is not usually accounted for using chronological ages.

Key variables and data analysis

The Andersen's predictive factors (predisposing, enabling and need factors) was utilised in this study as it was used by previous studies to explain the pattern of healthcare utilisation.7,13,14 This is because the model provided early understanding of how the support system interacts with individual characteristics to predict health-seeking behaviours.15 The model is also flexible to modification and appropriate for gerontological studies.16

For the purpose of this study, the outcomes variables explored against the living alone status of the respondents were selected based on 100% responses in the dataset to ensure complete case analyses. By doing so, the author aimed to reduce the effect of outliers on the direction of association between the variables.17 These variables were further categorised to fit into the Andersen predictive factors, in line with previous studies,14 and as described by Andersen in his popular work on factors that affect healthcare utilisation.13

Predisposing factors

These factors include information about socio-demographic characteristics and health behaviours.18 The variable on age was categorised into: '1 = 75-84 years'; '2 = 85 years and over'. Gender in the dataset was coded into '1: male' and '2: female'. The variable that described the smoking status 'ever smoked' of the respondents was coded '1: yes' and '2: no'.

Enabling factors

Living arrangements (living alone status) was defined by the household size; that is, the household with one individual represented 'yes = living alone' and the household with more than one person represented 'no = living with someone'. This is in accordance with the definition of the living arrangements of older adults in previous studies.7,8 Educational qualification was assessed by whether the respondents' possess educational qualification at the degree level or below. The educational status was dichotomised into '1 = degree level' and '2 = below degree'.

Need factors

As a modification to Andersen's model, this study utilised the need factors as outcome variables. The variables on the 'denture status' and 'self-reported oral health' were used to measure the oral health status of older adults in the UK. The denture status was assessed by the respondents' answers to a question on denture: 'do you have a denture?' and this variable was coded '1; yes', and '2; no'. Furthermore, self-reported oral health variable in the ADHS (2009) dataset was categorised into very good, good, fair, bad and very bad. In this study, the researcher dichotomised this variable into '1 = very good/good' and '2 = fair/bad/very bad'.

Use of healthcare services

Dental care utilisation was assessed by the respondents' frequency of use of dental facilities. This variable was categorised into '1 = at least every 6 to 12 months' and '2 = less frequent than every 12 months'.

The researcher conducted descriptive analyses to investigate the distribution of the socio-demographic characteristics, explanatory variable (living alone status) and oral health outcomes among the older adults in the analytic sample. Bivariate analyses were carried out to identify suitable variables for multivariate analyses. Logistic regression analyses were conducted to predict the likelihood of the explanatory variable to account for the variations in the oral health status and dental care utilisation of the studied population. The researcher initially examined the unadjusted relationship between the living alone status and each of the outcome variables, after which the researcher conducted additional models to include the control variables (age, sex, education and smoking status). The number of included cases in each of the regression analyses is dependent on the number of valid responses to the outcome variables. The researcher examined for collinearity bias among the predictors by conducting multi-collinearity test. The variance inflation factor was less than ten and the tolerance value was greater than 0.1, which means that there is no multi-collinearity problem in the regression models.17 Data analysis was conducted using Statistical Package for Social Sciences (SPSS) version 21 and P< 0.05 was considered statistically significant.

Results

The descriptive statistics carried out shows the distribution of the socio-demographic characteristics and the oral health outcomes of respondents in this study (Table 1). Almost half (45.2%) of the study population were living alone at the time this data was collected.

Table 1 Statistics of respondents' socio-demographic characteristics, oral health status and dental care utilisation

The logistic regressions also indicated that, at P< 0.05, older adults living alone were more likely to have poor dental care attendance (OR = 1.60-95% CI 1.35, 2.15) compared to those that lived with someone (Table 2). Although the results also indicated that older adults living alone were likely to have reported poor self-rated oral health and have denture, the adjusted models confirmed that this could have been as a result of the cofounders. It can be observed in Table 3 and Table 4 that the relationship between the living alone status of the respondents' loss significance after the age, gender, smoking status and educational status were included in the analyses.

Table 2 Odd ratios of poor dental attendance by respondents' living arrangements (including control variables)
Table 3 Odd ratios of having a denture by respondents' living arrangements (including control variables)
Table 4 Odd ratios of poor self-rated oral health by respondents' living arrangements (including control variables)

Discussion

This study confirms the hypothesis, and it also corroborates existing data that link social supports and utilisation of healthcare services. The results show that older adults living with someone in the UK utilised dental care more frequently, and have good oral health status compared to those living alone. These might be as a result of factors such as physical, financial, mental and/or motivational supports available to older adults through their household members.8,9 It may also represent improvement in health care delivery in the UK in the twenty-first century.18 Some other factors that have been reportedly associated with low utilisation of dental care by older adults include co-morbidities, low compensation for dentists treating older adults and inadequate knowledge of geriatric dentistry.19 This study identified that living arrangements might play a crucial role in oral health-related decisions concerning when to visit a dentist. For instance, older adults may access financial and physical support from household members in order to keep their dental appointments and also to seek preventative dental treatment. Another possible pathway by which living arrangements is associated with dental care utilisation is through oral health awareness.20 This is because household members may influence the dental perception of older adults by reinforcing knowledge of oral health care and by encouraging health-seeking behaviours.

Denture wearing has been described as an appropriate surrogate for measuring oral health status because it relates to the degree of tooth loss.14,21,22 Similar to the report from the previous wave (1998) of the ADHS,8 the result of this study indicated that older adults living alone were likely to have a denture. McGrath and Bedi suggested that this outcome was likely due to lack of supports from their household members to carry out basic oral hygiene practices, like teeth brushing or dental flossing, necessary to maintain good oral health.8 Unlike other studies, the present study suggests that some percentages of the predicted outcomes could have been accounted for by the co-founders (Table 3). It can also be observed from this study that older adults in the UK may be keeping their natural teeth much longer. This is because the percentage of older adults that had a denture in this study was lesser than those recorded for a younger population in a previous study by McGrath and Bedi.8 While this may represent an improvement in the NHS dental coverage in the twenty-first century,18,23 it also confirms that there might be a need for a futuristic approach to address the impending oral health needs of the UK older adult population due to the possibility of persistent oral diseases at a later stage in old age.

Additionally, this study indicated that most respondents had a positive perception of their oral health status, which is consistent with findings from previous studies.7,8,14 This study hypothesised that older adults living alone may be predisposed to poor psychological wellbeing. This is because loneliness or lack of social interactions can negatively impact self-perception about their general and oral health.7,24,25 For example, older adults living alone may not likely be motivated to see a health professional when they have dental pain and may be unable to get help to manage their illness. In addition, it has been discussed in previous studies that people in later life may be using their poorly performing age peers as a reference,26,27,28 thus having a higher rating of their oral health and wellbeing. Nevertheless, findings from this study indicated that living arrangement is not a good predictor of self-rated oral health perception. Introduction of co-founders into the analyses affected the significance of the association between self-rated oral health and the living status of older adult population in the UK negatively.

It is also important to discuss the role of co-founders in the outcome of this study. It was observed that the introduction of variables such as age and educational qualification, and habits such as smoking influenced the strength of association observed between living arrangements and oral health outcomes. Previous authors who have established a link between frailty and old age suggested that it is expected that people become frailer in later life.29,30,31 This may eventually mean that it becomes more difficult for them to access care due to disabilities. For instance, it has been largely established that denture wearing is more pronounced among the older population compared to the younger populations. Also, educational qualification as a proxy of socioeconomic status can greatly influence dental care utilisation and health outcomes.32 Vulnerable older adults with low social status are not likely to attend dental care due to the associated cost of treatment. This is important for two reasons: firstly, because it is not all social supports that include finances; and secondly, because most advanced dental procedures are not free for older adults under the NHS.33 Furthermore, this study identified that smokers had poor dental attendance. This may be because individuals that smoke cigarettes will likely not visit the dental facilities in order to avoid counselling towards withdrawal from their smoking habit.

Despite its resourcefulness, this study is limited in some ways, which may be necessary for consideration while its findings are being applied. One of the limitations of this study is that it is limited to cross-sectional findings and so may not account for time effect. Time effect may create bias and it is one of the disadvantages of cross-sectional studies.34 For example, attitudes towards the use of dental facilities may have been influenced by timely events such as the introduction of new dental care service policies.

The limitation of this study can also be associated with the inability to examine the impact of social relationships or the emotional aspect of living arrangements on the oral health status and dental care utilisation of older adults in the UK. Although it was intended in this study to assess the emotional aspect of social support, it was not possible due to data limitations. This is important because the relationship between the household members may be linked to oral health-related decisions that can influence oral health status and dental care utilisation. For instance, older adults living with their children or spouse may get direct support towards the utilisation of dental facilities compared to those living with other people.14

Due to data limitations, this study was not able to control for the impact of disabilities that could have influenced dental care attendance. This is significant because social supports available to older adults may have been channelled towards other morbidities instead of dental care. Furthermore, disabilities that limit physical movements may affect the dental attendance of older adults, thereby creating an aggravated effect of living arrangements on the pattern of dental care utilisation of older adults in the UK. That is, older adults living alone may visit the dentist less frequently not because they lack support, but rather as a result of an illness that limits their movement. Also, research has suggested that limitations in the activities of daily living may influence the oral health status of older adults.35 For example, physical or mental disabilities can limit the frequency or quality of oral hygiene practices, thus leading to the deterioration of oral health.

Conclusion

This present study indicates that living arrangements as a form of social support seems to play a role in understanding the accessibility of dental care to older adults. Therefore, policy makers should consider living arrangements and accessibility of care when designing health schemes for the older population.