General health and well-being among primary care patients aged 75+ years: Associations with living conditions, oral health and dependency

Oral health-related quality of life of older Australian men

OBJECTIVES

The aims of this study were to assess oral health-related quality of life (OHRQoL) in a cohort of older Australian men and explore the association between their general health conditions, socio-demographic factors and OHRQoL.

METHODS

The Concord Health and Ageing in Men Project (CHAMP) is a cohort study of the health of a representative sample of Australian men, initiated in 2005-2006 with an initial sample of 1705 men 70 years or over. Participants completed a self-administered health and socio-demographic questionnaire and attended an interview and clinical assessment at baseline and each of three follow-up assessments. Information on oral health and responses to the Oral Health Impact Profile (OHIP-14) were collected in the 4th follow-up in which 778 men completed the OHIP-14 questionnaire and 614 men had a dental assessment. The prevalence of oral health impact was defined as a response of fairly often or very often to one or more of the OHIP-14 questions. Mean OHIP-14 scores were calculated for the 14 questions and used as the dependent variable in the regression analyses. Zero-inflated Poisson regression was used to estimate prevalence rate ratios (PRR).

RESULTS

Only 10% of men presented oral health impacts. In multivariate regression modelling, being born in Italy/Greece (PRR: 2.16, 95% CI: 1.93-2.42) or in other countries (PRR: 2.12, 95% CI: 1.89-2.38), having poor self-rated general health (PRR: 1.38, 95% CI: 1.24-1.53), having poor mental wellbeing (PRR: 1.14, 95% CI: 1.04-1.24), having ≥6 depressive symptoms (PRR: 1.18, 95% CI: 1.05-1.32), being a current smoker (PRR: 1.34, 95% CI: 1.06-1.70) and having more decayed tooth surfaces (PRR:1.01, 95% CI: 1.00-1.02) were associated with higher impact scores.

CONCLUSIONS

Overall, older Australian men exhibit good oral health-related quality of life. The inter-relationship between perceptions of general health and well-being, health and oral health variables and social background supports policy objectives of closer integration of general health and oral health services for older Australian men.

Global functionality and associated factors in the older adults followed by Home Care in Primary Health Care

Objective:

to analyze the association of global functionality with the main functional systems and the sociodemographic variables of older adults followed by Home Care in Primary Health Care.

Method:

a cross-sectional study with 124 older people developed through home interviews. Functionality was assessed by Basic Activities of Daily Living (Barthel) and Instrumental Activities of Daily Living (Lawton and Brody); the main functional systems were assessed using the Mini-Mental State Exam, by the Timed Up and Go test, by the Geriatric Depression Scale (15 items), and questionnaire with sociodemographic variables. Bivariate and multivariate analyses were applied (Poisson Regression).

Results:

46% of the older adults showed moderate/severe/total dependence for basic activities and instrumental activities had a median of 12. In the multivariate analysis, there was an association between moderate/severe/total dependence on basic activities with cognitive decline (p=0.021) and bedridden/wheelchair users (p=0.014). Regarding the dependence on instrumental activities, there was an association with age ≥80 years (p=0.006), single/divorced marital status (p=0.013), cognitive decline (p=0.001), bedridden/wheelchair (p=0.020), and Timed Up and Go ≥20 seconds (p=0.048).

Conclusion:

the decline in cognitive and mobility was associated with poor functionality in basic and instrumental activities. The findings highlight the need to monitor Home Care for these individuals and serve as guidelines for health actions.

Predictors for oral and general health outcomes and quality of life among older people attending general practice clinics in South Australia

BACKGROUND

As the proportion and number of older people in Australia continue to grow, innovative means to tackle primary care and prevention are necessary to combat the individual, social and economic challenges of non-communicable diseases.

OBJECTIVE

To assess risk factors (or predictors) for oral and general health outcomes and quality of life of older people (75+ years.) attending general practice (GP) clinics in South Australia.

METHODS

Data were collected from older people attending 48 GP clinics in metropolitan South Australia. Age, sex, education, living arrangement, material standards, chronic conditions and nutrition were assessed as risk factors. Global self-rated oral and general health and quality of life (OHIP Severity and EQ-5D Utility) were included as outcome measures.

RESULTS

A total of 459 participants completed the study; response rate was 78%. In the adjusted models, high satisfaction with material standards and good nutritional health were positively associated with all four oral and general health measures. Sex (β = -0.08), age (β = -0.09) and number of chronic conditions (β = -0.12) were negatively associated with EQ-5D, while living arrangement (β = 0.07) was positively associated. Further, having four or more chronic conditions (RR:1.47) was significantly associated with self-rated general health.

CONCLUSION

Satisfaction with material standards and nutritional risk were consistent predictors for oral and general health outcomes and quality of life of older people visiting GP clinics.

A Review of the Development and Application of Generic Preference-Based Instruments with the Older Population

Older people (aged 65 years and over) are the fastest growing age cohort in the majority of developed countries, and the proportion of individuals defined as the oldest old (aged 80 years and over) living with physical frailty and cognitive impairment is rising. These population changes put increasing pressure on health and aged care services, thus it is important to assess the cost effectiveness of interventions targeted for older people across health and aged care sectors to identify interventions with the strongest capacity to enhance older peoples' quality of life and provide value for money. Cost-utility analysis (CUA) is a form of economic evaluation that typically uses preference-based instruments to measure and value health-related quality of life for the calculation of quality-adjusted life-years (QALYS) to enable comparisons of the cost effectiveness of different interventions. A variety of generic preference-based instruments have been used to measure older people's quality of life, including the Adult Social Care Outcomes Toolkit (ASCOT); Health Utility Index Mark 2 (HUI2); Health Utility Index Mark 3 (HUI3); Short-Form-6 Dimensions (SF-6D); Assessment of Quality of Life-6 dimensions (AQoL-6D); Assessment of Quality of Life-8 dimensions (AQoL-8D); Quality of Wellbeing Scale-Self-Administered (QWB-SA); 15 Dimensions (15D); EuroQol-5 dimensions (EQ-5D); and an older person specific preference-based instrument-the Investigating Choice Experiments Capability Measure for older people (ICECAP-O). This article reviews the development and application of these instruments within the older population and discusses the issues surrounding their use with this population. Areas for further research relating to the development and application of generic preference-based instruments with populations of older people are also highlighted.

When the fear of dentist is relevant for more than one's oral health. A structural equation model of dental fear, self-esteem, oral-health-related well-being, and general well-being

PURPOSE

To develop and test a complex model that captures the individuals' general well-being and the specific oral-health-related well-being. We were specifically interested, as a specific research question, if self-esteem, dental fear, and the oral health-related well-being are credible predictors for the general well-being.

PATIENTS AND METHODS

A one-time associative research design measured dental-specific anxiety, self-esteem, oral-health-related specific well-being, and general well-being in 281 participants, 3rd and 6th year dental students (M _Age =22.59 years, SD _Age =3.13; 55% females), which completed a battery of relevant questionnaires: the Dental Fear Survey, the Rosenberg Self-Image Scale, the short form of Oral Health Impact Profile, and the Flourishing Scale. The data were subject to structural equation modeling in order to validate potential pathways of influence hypothesized based on previous evidence from the literature.

RESULTS

We developed and tested a complex structural equations model, in which dental fear influences both the specific oral-health-related well-being and the persons' self-esteem. In turn, self-esteem mediates the influence pathways between dental fear and oral-health-specific well-being, on the one hand, and the overall well-being, on the other hand.

CONCLUSION

Our research contributes directly to strengthening the theoretical basis for future interdisciplinary research, by providing, first, a tested and replicable model that surpasses the simple correlation or prediction, and second, empirical evidence for the significant mutual interdependence between psychological experiences, eg, self-esteem, and the two main aspects of well-being, ie, specific and general. From a practical, clinical viewpoint, our research provides further insights and justification for the importance of educating the patient, on all levels, from the individual clinical practice to community programs and public oral health policies, with respect to the importance of oral health.