The impact of hypoglycemia on quality of life in type 2 diabetes : a systematic review.

Hypoglycemia is the commonest and most serious side-effect of insulin treatment for Type 1 diabetes (T1DM). The prevalence of hypoglycemia is lower in insulin-treated Type 2 diabetes (T2DM) than in T1DM but the prevalence increases with duration of insulin therapy and increasingly resembles T1DM. As hypoglycemia has not been widely recognised to affect people with T2DM, its impact on quality of life (QoL) has received little attention.

A systematic literature review was performed to identify empirical papers published in English since 1966 reporting the effect of hypoglycemia on any patient-reported outcomes (PROs), including QoL, in T2DM. Despite our specific interest in QoL, the inclusion criteria were defined broadly to encompass a range of self-assessed psychosocial outcomes, including generic and diabetes-specific QoL, emotional well-being and health utilities. Studies were excluded in which the impact of hypoglycemia was confounded by treatment effects. Our search included: MEDLINE, PsycINFO, CINAHL. Abstracts were screened independently by two investigators.

Of 2,469 abstracts, Thirty-one met the inclusion criteria and were subjected to data extraction and analysis. These comprised four controlled trials and twenty-seven others (including cross-sectional and health utility studies). The results indicate associations between the experience of hypoglycemia and a range of adverse PROs, including impaired QoL and well-being, higher levels of anxiety, depression and anger and loss of health utility. Fear of hypoglycemia was also associated with compensatory lifestyle limitations and changes.

Publications suggest that QoL and other psychosocial outcomes are impaired by the experience and/or fear of hypoglycemia in T2DM, however, very few studies have directly investigated this phenomenon to date. Interpretation of the evidence is hampered by inconsistent or inadequate definitions and measurement of both hypoglycemia and QoL outcomes, by confounding of the impact of hypoglycemia and by treatment factors. Targeted research using appropriate study design is needed to quantify and qualify the true impact of hypoglycemia on QoL in people with T2DM.

Predictors of quality of life in carers for people with a progressive neurological illness: a longitudinal study

Purpose The aim of the present research was to determine the predictors of quality of life (QOL) among carers for people living with a chronic degenerative neurological illness, with comparisons of the differences in significant predictors of QOL between illness groups.
Methods Psychosocial and economic variables were examined among 192 carers for people living at home with motor neurone disease, Huntington’s disease, multiple sclerosis, and Parkinson’s, over a twelve-month period, to determine their contribution to the prediction of carer QOL.
Results Mood was the only consistent predictor of carer QOL across groups; however, marital relationship satisfaction, social support satisfaction, income, and economic pressure significantly predicted carer QOL for at least one of the illness groups, in addition to mood.
Conclusions The findings highlight the importance of recognising the varying roles that psychosocial and economic variables play on the prediction of carer QOL within each of these illness groups.

The health-related quality of life of overweight and obese adolescents - a study measuring body mass index and adolescent-reported perceptions

Objective. To determine whether the health-related quality of life (HRQOL) of overweight and obese adolescents is significantly lower than that of their healthy weight counterparts, and if so, whether any demographic trends exist and the relative contribution of each HRQOL dimension.

Methods. Cross-sectional analysis of 2,890 students participating in the Pacific Obesity Prevention in Communities Project, Australia. HRQOL was measured using the Pediatric Quality of Life Inventory (PedsQL) adolescent module. Adolescent height and weight were measured by trained field workers and weight categories assigned according to the International Obesity Task Force BMI cut-off points for adolescents. Multivariate linear regression analyses were undertaken to estimate the mean differences in HRQOL scores between (i) overweight and healthy weight, and (ii) obese and healthy weight adolescents, whilst adjusting for gender, age and socioeconomic status quartile.

Results. The sample had a mean age of 14.6 years (range 11–18), 56.2% boys, 20.2% overweight and 6.3% obese. Higher weight status categories were associated with lower HRQOL scores (mean PedsQL scores: healthy weight: 79.1, overweight: 77.7 and obese: 73.7). Relative to the healthy weight group, and after adjustments, overweight and obese adolescents reported 1.44 (p = 0.005) and 5.55 (p < 0.001) lower HRQOL summary scores, respectively. Overweight adolescents reported significantly lower scores in physical and social functioning, whilst obese adolescents reported significantly lower scores in the same dimensions plus emotional functioning. Girls and younger (< 15 years) adolescents reported greater mean negative HRQOL differences associated with excess weight.

Conclusions. Overweight and obesity in adolescents are associated with significantly lower HRQOL scores.

Utility-based quality of life of overweight and obese adolescents

Objective : To explore the relationship between overweight/obesity and utility in adolescents.

Methods : Data were collected from 2890 adolescents attending 13 secondary schools in the state of Victoria, Australia. The Assessment of Quality of Life 6-Dimension (AQoL-6D) questionnaire was used to measure individual utility. Adolescent's height and weight were measured and weight status categories assigned according to the World Health Organization adolescent growth standards. Multivariate linear regression analyses were undertaken for the whole population and subpopulations of boys and girls to estimate the mean differences in utility scores between 1) overweight and healthy weight and 2) obese and healthy weight adolescents, while controlling for demographic and socioeconomic status variables.

Results : The mean age of adolescents was 14.6 years, 56.2% were boys, 22.2% were overweight, and 9.4% were obese. The mean utility of healthy weight adolescents was 0.860. After adjustments, the overweight and obese groups reported significantly lower mean utility scores (differences: −0.018 and −0.059, respectively, relative to the healthy weight group). This can be interpreted as equivalent to a stated willingness to sacrifice 1.8% and 5.9% of a life in perfect health or 2.3% and 6.8% of a life at healthy weight. A significant utility difference associated with overweight was only experienced by girls (−0.039, P = 0.003). Both sexes experienced significant utility differences associated with obesity, but the magnitude was double for girls (−0.084, P < 0.001) relative to boys (−0.041, P = 0.022).

Conclusion : Utility is lower among overweight and more so among obese adolescents.

Morphometric vertebral fractures of the lower thoracic and lumbar spine, physical function and quality of life in men

The epidemiology and sequelae of morphometric vertebral fracture (MVF) are poorly documented. We found that MVFs of the lower thoracic and lumbar spine were associated with poor quality of life and impaired physical function in men. We recommend that morphometric X-ray absorptiometry be included in routine requests for bone densitometry.

Changes in body mass index and health related quality of life from childhood to adolescence

Objective . To determine longitudinal relationships between body mass index (BMI) and health-related quality of life (HRQoL) in an adolescent population sample.
Design. Data collected in 2000 and 2005 within the Health of Young Victorians longitudinal cohort study.
Setting. Originally a community sample of elementary school students in Victoria, Australia. Follow-up occurred in either secondary schools or individuals homes.
Participants. Cohort recruited in 1997 via a random sampling design from Victorian elementary schools. Originally comprising 1 943 children, 1 569 (80.8%) participated in 2000 (wave 2, 8 – 13 years) and 851 (54%) in 2005 (wave 3, 13 – 19 years).
Main outcome measures. In both waves participants and their parents completed the PedsQL, a 23-item child HRQoL measure, and BMI z-scores and status (non-overweight, overweight or obese) were calculated from measured height and weight. Associations were tested cross-sectionally and longitudinally (linear regression, adjusted for baseline values)
Results. A total of 81.6% remained in the same BMI category, while 11.4% and 7.0% moved to higher and lower categories, respectively. Cross-sectional inverse associations between lower PedsQL and higher BMI categories were similar to those for elementary school children. Wave 2 BMI strongly predicted wave 3 BMI and wave 2 PedsQL strongly predicted wave 3 PedsQL. Only parent-reported Total PedsQL score predicted higher subsequent BMI, though this effect was small. Wave 2 BMI did not predict wave 3 PedsQL.
Conclusions. This novel study confi rmed previous cross-sectional associations, but did not provide convincing evidence that
BMI is causally associated with falling HRQoL or vice versa across the transition from childhood to adolescence.

A study of older Australians’ volunteering and quality of life : empirical evidence and policy implications

Older Australians are confronted by dramatic changes in their physical, social, financial, and psychological well-being. There are social costs to these changes related to their productivity and increased costs associated with caring for older Australians. Greater community engagement through voluntary work practice may minimize these costs, as well as positively influence volunteers' subjective quality of life (QOL). This study investigates the motivations for older Australians to engage in formal voluntary work. It seeks to identify whether the motivational factors to volunteer are associated with individuals' subjective QOL. The results indicate a positive relationship between older people's motivations to volunteer and their subjective QOL. This association is strengthened by respondents' community orientation, positive perception of voluntary work, positive personal attitudes toward volunteering, and their self-esteem. The role of policy makers in motivating larger participation by the older groups is discussed.

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.