A bi-directional relationship between obesity and health-related quality of life : evidence from the longitudinal AusDiab study

Objective: To assess the prospective relationship between obesity and health-related quality of life, including a novel assessment of the impact of health-related quality of life on weight gain.

Design and setting: Longitudinal, national, population-based Australian Diabetes, Obesity and Lifestyle (AusDiab) study, with surveys conducted in 1999/2000 and 2004/2005.

Participants: A total of 5985 men and women aged 25 years at study entry.

Main outcome measure(s): At both time points, height, weight and waist circumference were measured and self-report data on health-related quality of life from the SF-36 questionnaire were obtained. Cross-sectional and bi-directional, prospective associations between obesity categories and health-related quality of life were assessed.

Results: Higher body mass index (BMI) at baseline was associated with deterioration in health-related quality of life over 5 years for seven of the eight health-related quality of life domains in women (all P0.01, with the exception of mental health, P>0.05), and six out of eight in men (all P<0.05, with the exception of role-emotional, P=0.055, and mental health, P>0.05). Each of the quality-of-life domains related to mental health as well as the mental component summary were inversely associated with BMI change (all P<0.0001 for women and P0.01 for men), with the exception of vitality, which was significant in women only (P=0.008). For the physical domains, change in BMI was inversely associated with baseline general health in women only (P=0.023).

Conclusions: Obesity was associated with a deterioration in health-related quality of life (including both physical and mental health domains) in this cohort of Australian adults followed over 5 years. Health-related quality of life was also a predictor of weight gain over 5 years, indicating a bi-directional association between obesity and health-related quality of life. The identification of those with poor health-related quality of life may be important in assessing the risk of future weight gain, and a focus on health-related quality of life may be beneficial in weight management strategies.

Utility-based quality of life associated with overweight and obesity : the Australian diabetes, obesity, and lifestyle study

This study aimed to estimate utility-based quality of life (UQoL) differences between healthy body weight and excess body weight categories. Cross-sectional analysis of 10,959 adults, participating in baseline data collection of the nationally representative Australian Diabetes, Obesity, and Lifestyle (AusDiab) Study was undertaken. Height and weight were measured by trained personnel. Body weight categories were assigned as healthy weight, overweight, and obesity subclasses I, II and III. UQoL was assessed using the SF-6D, which captures physical functioning, role limitation, social functioning, pain, mental health, and vitality on a score of 0.00–1.00 (worst-best). The relationship between body weight categories and UQoL was assessed using linear regression, adjusting for age, sex, education, and smoking. Relative to the healthy weight group (mean UQoL score 0.77), mean adjusted UQoL differences (95% confidence intervals) were 0.001 (−0.008, 0.010) for overweight, −0.012 (−0.022, −0.001) for class-I obese, −0.020 (−0.041, 0.001) for class-II obese, and −0.069 (−0.099, −0.039) for class-III obese groups. Adding metabolic syndrome markers to the covariates had little impact on these differences. Results confirmed an inverse dose–response relationship between body weight and UQoL in this study of Australian adults. This highlights the need to incorporate UQoL measures which are sensitive to the subclasses of obesity when evaluating obesity interventions.

The health-related quality of life burden of co-morbid cardiovascular disease and major depressive disorder in Australia : findings from a population-based, cross-sectional study

Purpose Health-related quality of life (HRQOL) can be significantly impaired by the presence of chronic conditions such as cardiovascular disease (CVD) and major depressive disorder (MDD). The aim of this paper was to (1) identify differences in HRQOL between individuals with CVD, MDD, or both, compared to a healthy reference group, (2) establish whether the influence of co-morbid MDD and CVD on HRQOL is additive or synergistic and (3) determine the way in which depression severity interacts with CVD to influence overall HRQOL.

Methods Population-based data from the 2007 Australian National Survey of Mental Health and Well-being (NSMHWB) (n = 8841) were used to compare HRQOL of individuals with MDD and CVD, MDD but not CVD, CVD but not MDD, with a healthy reference group. HRQOL was measured using the Assessment of Quality of Life (AQOL). MDD was identified using the Composite International Diagnostic Interview (CIDI 3.0).

Results Of all four groups, individuals with co-morbid CVD and depression reported the greatest deficits in AQOL utility scores (Coef: −0.32, 95% CI: −0.40, −0.23), after adjusting for covariates. Those with MDD only (Coef: −0.27, 95% CI: −0.30, −0.24) and CVD only (Coef: −0.08, 95% CI: −0.11, −0.05) also reported reduced AQOL utility scores. Second, the influence of MDD and CVD on HRQOL was shown to be additive, rather than synergistic. Third, a significant dose–response relationship was observed between depression severity and HRQOL. However, CVD and depression severity appeared to act independently of each other in impacting HRQOL.

Conclusions HRQOL is greatly impaired in individuals with co-morbid MDD and CVD; these conditions appear to influence HRQOL in an additive fashion. HRQOL alters with depression severity, therefore treating depression and improving HRQOL is of clinical importance.

The relationship between coronary heart disease (CHD) and major depressive disorder (MDD) : key mechanisms and the role of quality of life

Various trials have been conducted evaluating depression management programs for patients with Coronary Heart Disease (CHD). However, to date, the most effective way to manage this co-morbidity in the real world setting remains unclear. To better understand the past successes and failures of previous trials and subsequently develop suitable interventions that target key components of health related quality of life (HRQOL) such as mental, physical and vocational functioning, we first need to understand the mechanisms underpinning the relationship between the two conditions. This paper will draw on the key literature in this field as identified by psychiatric, medical and social sciences databases (Cochrane Central Register of Controlled Trials, PubMed, OVID, Medline) available up to January 2012, with the aim to conduct a narrative review which explores: the aetiological relationship between depression and CHD; its association with HRQOL; the relationship between CHD, depression and vocational functioning; and the impact of depression treatment on these outcomes. Key recommendations are made regarding the management of this prevalent co-morbidity in clinical settings.

Understanding determinants of nutrition, physical activity and quality of life among older adults : the Wellbeing, Eating and Exercise for a Long Life (WELL) study

Background : Nutrition and physical activity are major determinants of health and quality of life; however, there exists little research focusing on determinants of these behaviours in older adults. This is important, since just as these behaviours vary according to subpopulation, it is likely that the determinants also vary. An understanding of the modifiable determinants of nutrition and physical activity behaviours among older adults to take into account the specific life-stage context is required in order to develop effective interventions to promote health and well-being and prevent chronic disease and improve quality of life.

Methods : The aim of this work is to identify how intrapersonal, social and environmental factors influence nutrition and physical activity behaviours among older adults living in urban and rural areas. This study is a cohort study of adults aged 55-65 years across urban and rural Victoria, Australia. Participants completed questionnaires at baseline in 2010 and will complete follow-up questionnaires in 2012 and 2014. Self-report questionnaires will be used to assess outcomes such as food intake, physical activity and sedentary behaviours, anthropometry and quality of life. Explanatory variables include socioeconomic position, and measures of the three levels of influence on older adults' nutrition and physical activity behaviours (intrapersonal, social and perceived environmental influences).

Discussion : Obesity and its determinant behaviours, physical inactivity and poor diet are major public health concerns and are significant determinants of the quality of life among the ageing population. There is a critical need for a better understanding of the determinants of nutrition and physical activity in this important target group. This research will provide evidence for the development of effective policies and programs to promote and support increased physical activity and healthy eating behaviours among older adults.

The impact of the quality of behaviour support plans on the use of restraint and seclusion in disability services

Background: Behaviour support plan (BSP) quality is known to be an important aspect of the support provided to people with disability who show challenging behaviours and has been found to lead to reductions in challenging behaviour. Preliminary evidence suggests that quality of plans is associated with reductions in the use of restraint
and seclusion.
Method and materials: Quality of a sample of behaviour support plans was assessed using the Behaviour Support Plan – Quality Evaluation II (BSP-QE II) Guide (Browning Wright, Saren & Mayer, 2003). Episodes of restraint and seclusion before and during implementation of plans were examined by comparing restraint and seclusion use between individuals with high quality versus low quality plans.
Results: Compared to individuals with low quality plans, individuals with high quality plans were found to be subjected to less restraint and seclusion over time, while those with low quality plans were subjected to increases. With the exception of one quality component, all components in high quality plans were found to be associated with decreases in restraint and seclusion use.
Conclusions: The results support earlier preliminary findings that quality of behaviour support plans are associated with reductions in restrictive intervention use. The findings are important because they suggest that increasing quality of behaviour support plans may lead to decreases in restraint and seclusion over time.

Construction of the descriptive system for the assessment of quality of life AQoL-6D utility instrument

Background
Multi attribute utility (MAU) instruments are used to include the health related quality of life (HRQoL) in economic evaluations of health programs. Comparative studies suggest different MAU instruments measure related but different constructs. The objective of this paper is to describe the methods employed to achieve content validity in the descriptive system of the Assessment of Quality of Life (AQoL)-6D, MAU instrument.

Methods
The AQoL program introduced the use of psychometric methods in the construction of health related MAU instruments. To develop the AQoL-6D we selected 112 items from previous research, focus groups and expert judgment and administered them to 316 members of the public and 302 hospital patients. The search for content validity across a broad spectrum of health states required both formative and reflective modelling. We employed Exploratory Factor Analysis and Structural Equation Modelling (SEM) to meet these dual requirements.

Results and Discussion
The resulting instrument employs 20 items in a multi-tier descriptive system. Latent dimension variables achieve sensitive descriptions of 6 dimensions which, in turn, combine to form a single latent QoL variable. Diagnostic statistics from the SEM analysis are exceptionally good and confirm the hypothesised structure of the model.

Conclusions
The AQoL-6D descriptive system has good psychometric properties. They imply that the instrument has achieved construct validity and provides a sensitive description of HRQoL. This means that it may be used with confidence for measuring health related quality of life and that it is a suitable basis for modelling utilities for inclusion in the economic evaluation of health programs.

Using strategic philanthropy to improve heritage tourist sites on the Gallipoli Peninsula, Turkey : community perceptions of changing quality of life and of the sponsoring organization

This paper examines the “Respect for History” project on Turkey's Gallipoli Peninsula sponsored by a Turkish oil company, OPET. The project sought to enhance and protect the cultural and historical experiences of tourists visiting Gallipoli, and to bring direct and indirect benefits to local communities through enhancing tourism-related business opportunities and improving community infrastructure. This research investigates the project's impact on residents’ perceived social and economic wellbeing, using a quality of life framework, and also ascertains residents’ views of the sponsoring firm. The context illustrates key differences between pure philanthropy and strategic philanthropy; the latter defined as doing good by purposefully achieving corporate and civic benefits. The role of strategic philanthropy as a sustainable tourism development tool, and its impact on tourism governance, are considered. Data were collected from 674 residents on the Turkish Gallipoli Peninsula in areas impacted by OPET's investment program. The results, using structural equation modelling (SEM), identify that respondents generally believe that both their economic and social quality of life have improved. This, in turn, has positively influenced respondents’ views of the sponsoring organization. The concept of strategic philanthropy appears valuable as a private sector, non-tourism, sustainable tourism development tool in some circumstances.

Assessing the impact of diabetes on the quality of life of older adults living in a care home : validation of the ADDQoL senior

Aims  Around a quarter of UK care-home residents have diabetes. Diabetes is known to impact quality of life but existing diabetes-specific quality of life measures are unsuitable for elderly care-home residents. We aimed to develop and evaluate a new measure for use with older adults, to be particularly suitable for use with care-home residents: the Audit of Diabetes-Dependent Quality of Life (ADDQoL) Senior†.

Methods  Content and format changes were made to the 19-domain ADDQoL, informed by related measures for people with visual impairments (12 domain-specific items were retained, four items were revised/added and three items were removed). This revision was modified further following cognitive debriefing interviews with three older adults living in a care home. Psychometric evaluation of the newly developed 17-domain ADDQoL Senior was conducted using data from 90 care-home residents with diabetes who took part in a broader intervention study.

Results  The life domains most impacted by diabetes were ‘independence’ and ‘freedom to eat as I wish’. The ADDQoL Senior demonstrated good factor structure and internal consistency (Cronbach’s alpha = 0.924). Domain scores were, as expected, significantly intercorrelated.

Conclusions  The ADDQoL Senior measures the perceived impact of diabetes on quality of life in older adults, and has been found to be suitable for those living in care homes if administered by interview. The scale has demonstrated acceptability and excellent psychometric properties. It is anticipated that the number of items may be reduced in the future if our current findings can be replicated.