311 resultados para Beginning of life


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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.

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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.

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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.

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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.

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Objective: To investigate the role of medical emergency teams in end-of-life care planning.

Design: One month prospective audit of medical emergency team calls.

Setting: Seven university-affiliated hospitals in Australia, Canada, and Sweden.

Patients: Five hundred eighteen patients who received a medical emergency team call over 1 month.

Interventions: None.

Measurements and Main Results: There were 652 medical emergency team calls in 518 patients, with multiple calls in 99 (19.1%) patients. There were 161 (31.1%) patients with limitations of medical therapy during the study period. The limitation of medical therapy was instituted in 105 (20.3%) and 56 (10.8%) patients before and after the medical emergency team call, respectively. In 78 patients who died with a limitation of medical therapy in place, the last medical emergency team review was on the day of death in 29.5% of patients, and within 2 days in another 28.2%. Compared with patients who did not have a limitation of medical therapy, those with a limitation of medical therapy were older (80 vs. 66 yrs; p < .001), less likely to be male (44.1% vs. 55.7%; p .014), more likely to be medical admissions (70.8% vs. 51.3%; p < .001), and less likely to be admitted from home (74.5% vs. 92.2%, p < .001). In addition, those with a limitation of medical therapy were less likely to be discharged home (22.4% vs. 63.6%; p < .001) and more likely to die in hospital (48.4% vs. 12.3%; p < .001). There was a trend for increased likelihood of calls associated with limitations of medical therapy to occur out of hours (51.0% vs. 43.8%, p .089).

Conclusions: Issues around end-of-life care and limitations of medical therapy arose in approximately one-third of calls, suggesting a mismatch between patient needs for end-of-life care and resources at participating hospitals. These calls frequently occur in elderly medical patients and out of hours. Many such patients do not return home, and half die in hospital. There is a need for improved advanced care planning in our hospitals, and to confirm our findings in other organizations.