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1.
J Intellect Disabil Res ; 58(8): 704-20, 2014 Aug.
Article in English | MEDLINE | ID: mdl-23889708

ABSTRACT

BACKGROUND: The improvement of engagement and involvement in communicative and socially centred exchanges for individuals with multiple and severe disability (MSD) presents complex and urgent challenges to educators. This paper reports the findings of an intervention study designed to enhance the interactive skills of students with MSD using an in-class mentor model of staff development to improve the skills and strategies of their communication partners in two distinct educational settings. METHODS: Observational data were collected on eight students with MSD and their 16 teachers and teachers' aides (paraprofessionals), using a multiple baseline across students design, replicated across special and general school setting types. RESULTS: Results indicated variable improvements in student alertness and increased communicative interactions. In some cases significant differences in communicative involvement and awake-active-alert activity were observed. CONCLUSIONS: These findings underline the complexity of variables involved in delivering educational and communicative interventions for staff working with this population. Implications for further research and application to daily practices in classrooms are discussed.


Subject(s)
Attention/physiology , Communication , Disabled Children/rehabilitation , Education, Special/methods , Faculty , Staff Development/methods , Adolescent , Adult , Child , Child, Preschool , Female , Humans , Male , Schools , Students , Treatment Outcome
2.
Eur J Clin Nutr ; 66(10): 1160-5, 2012 Oct.
Article in English | MEDLINE | ID: mdl-22781022

ABSTRACT

BACKGROUND/OBJECTIVES: To describe the diet quality of a national sample of Australian women with a recent history of gestational diabetes mellitus (GDM) and determine factors associated with adherence to national dietary recommendations. SUBJECTS/METHODS: A postpartum lifestyle survey with 1499 Australian women diagnosed with GDM ≤3 years previously. Diet quality was measured using the Australian recommended food score (ARFS) and weighted by demographic and diabetes management characteristics. Multinominal logistic regression analysis was used to determine the association between diet quality and demographic characteristics, health seeking behaviours and diabetes-related risk factors. RESULTS: Mean (±s.d.) ARFS was 30.9±8.1 from a possible maximum score of 74. Subscale component scores demonstrated that the nuts/legumes, grains and fruits were the most poorly scored. Factors associated with being in the highest compared with the lowest ARFS quintile included age (odds ratio (OR) 5-year increase=1.40; 95% (confidence interval) CI:1.16-1.68), tertiary education (OR=2.19; 95% CI:1.52-3.17), speaking only English (OR=1.92; 95% CI:1.19-3.08), being sufficiently physically active (OR=2.11; 95% CI:1.46-3.05), returning for postpartum blood glucose testing (OR=1.75; 95% CI:1.23-2.50) and receiving risk reduction advice from a health professional (OR=1.80; 95% CI:1.24-2.60). CONCLUSIONS: Despite an increased risk of type 2 diabetes, women in this study had an overall poor diet quality as measured by the ARFS. Women with GDM should be targeted for interventions aimed at achieving a postpartum diet consistent with the guidelines for chronic disease prevention. Encouraging women to return for follow-up and providing risk reduction advice may be positive initial steps to improve diet quality, but additional strategies need to be identified.


Subject(s)
Diabetes Mellitus, Type 2/etiology , Diabetes, Gestational/etiology , Diet , Health Promotion , Patient Compliance , Postpartum Period , Adult , Age Factors , Australia/epidemiology , Cross-Sectional Studies , Diabetes Mellitus, Type 2/epidemiology , Diabetes Mellitus, Type 2/ethnology , Diabetes Mellitus, Type 2/prevention & control , Diabetes, Gestational/epidemiology , Diabetes, Gestational/ethnology , Diet/adverse effects , Diet/ethnology , Diet Surveys , Educational Status , Female , Humans , Logistic Models , Motor Activity , Nutritional Sciences/education , Patient Education as Topic , Pregnancy , Risk Factors
3.
Br J Anaesth ; 103(2): 275-82, 2009 Aug.
Article in English | MEDLINE | ID: mdl-19541677

ABSTRACT

BACKGROUND: We previously described a convection warming technique (Cassey J, Armstrong P, Smith GE, Farrell PT. Paediatr Anaesth 2006; 16: 654-62). This study further analyses the children in that original study with three aims: (i) to investigate factors purported to influence children's heating rates, (ii) to describe the most effective usage of this warming technique, and (iii) to understand better the physiology of convection warming. METHODS: Children having anaesthesia for elective surgery lasting longer than 90 min in ambient temperature 21 degrees C were warmed by a 'Bair Hugger' attached to a custom-built heat dissipation unit. Relationships between child and procedure characteristics and various thermal measures were analysed, and a thermodynamic model was evaluated. RESULTS: Thirty-nine children (aged 2 days to 12.5 yr) were studied. There were statistically significant correlations between a number of factors (e.g. height and weight) and heating efficacy. Our model demonstrated the impact of changing patient characteristics on temperature profiles. Neither the morphological characteristics nor our model could predict an individual's T(core) behaviour. CONCLUSIONS: (i) Although the effectiveness of this warming technique is influenced by patient/procedure characteristics, these do not predict normothermia (uncertainty +/-28 min). Effectiveness is independent of simple thermal measures. (ii) Previously described measures of vasoconstriction are not valid in children. (iii) Our model shows children's thermal properties change with their T(core). However, key factors are unknown for an individual and our model does not predict heating efficacy. (iv) To minimize the risk of hyperthermia, we recommend continuous measurement of T(core) during convection heating. The device air temperature should be turned to medium (38 degrees C) as T(core) approaches 37 degrees C.


Subject(s)
Anesthesia, Inhalation , Heating/methods , Intraoperative Care/methods , Body Temperature , Child , Child, Preschool , Convection , Esophagus/physiology , Female , Heating/instrumentation , Humans , Infant , Infant, Newborn , Intraoperative Care/instrumentation , Male , Models, Biological , Monitoring, Intraoperative/methods , Thermodynamics , Vasoconstriction
4.
Diabet Med ; 26(3): 279-85, 2009 Mar.
Article in English | MEDLINE | ID: mdl-19317823

ABSTRACT

AIMS: Carbohydrate (CHO) quantification is used to adjust pre-meal insulin in intensive insulin regimens. However, the precision in CHO quantification required to maintain postprandial glycaemic control is unknown. We determined the effect of a +/-10-g variation in CHO amount, with an individually calculated insulin dose for 60 g CHO, on postprandial glycaemic control. METHODS: Thirty-one children and adolescents (age range 9.5-16.8 years), 17 using continuous subcutaneous insulin infusion (CSII) and 14 using multiple daily injections (MDI), participated. Each subject consumed test lunches of equal macronutrient content, differing only in carbohydrate quantity (50, 60, 70 g CHO), in random order on three consecutive days. For each participant, the insulin dose was the same for each meal, based on their usual insulin : CHO ratio for 60 g CHO. Activity was standardized. Continuous glucose monitoring was used. RESULTS: The CSII and MDI subjects demonstrated no difference in postprandial blood glucose levels (BGLs) for comparable carbohydrate loads (P > 0.05). The 10-g variations in CHO quantity resulted in no differences in BGLs or area under the glucose curves for 2.5 h (P > 0.05). Hypoglycaemic episodes were not significantly different (P = 0.32). The 70-g meal produced higher glucose excursions after 2.5 h, with a maximum difference of 1.9 mmol/l at 3 h (P = 0.01), but the BGLs remained within international postprandial targets. CONCLUSIONS: In patients using intensive insulin therapy, an individually calculated insulin dose for 60 g of carbohydrate maintains postprandial BGLs for meals containing between 50 and 70 g of carbohydrate. A single mealtime insulin dose will cover a range in carbohydrate amounts without deterioration in postprandial control.


Subject(s)
Blood Glucose/metabolism , Diabetes Mellitus, Type 1/drug therapy , Dietary Carbohydrates/metabolism , Hypoglycemia/drug therapy , Hypoglycemic Agents/administration & dosage , Insulin/administration & dosage , Adolescent , Child , Diabetes Mellitus, Type 1/blood , Dose-Response Relationship, Drug , Female , Humans , Hypoglycemia/blood , Infusions, Subcutaneous/methods , Insulin/analogs & derivatives , Male , Postprandial Period/drug effects , Statistics as Topic
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