Dyslipidaemia in rural Australia : the evidence treatment gaps

Aims & rationale/Objectives : Hypercholesterolaemia accounts for 11.6% of total deaths and 6.2% of the disability burden for the Australian population.1 This paper reports population lipid profiles for three rural Australian populations, and assesses evidence-treatment gaps against the most recent (2005-2007) Australian guidelines.

Methods : Three population surveys were undertaken in the Greater Green Triangle. 3,320 adults aged 25-74 yrs were randomly selected using age/gender stratified electoral roll samples and of these 1563 subjects participated in the survey. Anthropometric, clinical and self-administered questionnaire data relating to chronic disease risk were collected in accordance with the WHO MONICA protocol.2 A detailed investigation of dyslipidaemia was included.

Principal findings : All required data was available for 1255 participants. Age-standardised mean total cholesterol (TC), triglycerides, LDL cholesterol and HDL cholesterol concentrations were 5.36 mmol/l, 1.42 mmol/l, 3.23 mmol/l and 1.48 mmol/l, respectively. Amongst those taking lipid-lowering medication, just 11% categorised as secondary prevention/diabetes, and 39% as primary prevention, achieved all lipid targets. In the 20% of untreated participants at high risk of a primary cardiovascular event, 26% were aware of their hypercholesterolaemia and just 2% achieved all lipid targets (2.8% achieved TC?5.5 mmol, 8.5% achieved LDL<3.5 mmol/l). 11.2% of the overall population used lipid-lowering medication (95% was statin monotherapy).

Implications : Most adults do not achieve their target lipid profile. This paper identifies the subpopulations and lipid components which need to be targeted for future interventions. It also identifies substantial evidence-treatment gaps which should be addressed to help improve lipid profiles at a population level.

Sand temperatures for nesting sea turtles in the Caribbean: Implications for hatchling sex ratios in the face of climate change

A 200-year time series of incubation temperatures and primary sex ratios for green (Chelonia mydas), hawksbill (Eretmochelys imbricata) and leatherback (Dermochelys coriacea) sea turtles nesting in St. Eustatius (North East Caribbean) was created by combining sand temperature measurements with historical and current environmental data and climate projections. Rainfall and spring tides were important because they cooled the sand and lowered incubation temperatures. Mean annual sand temperatures are currently 31.0. °C (SD. =. 1.6) at the nesting beach but show seasonality, with lower temperatures (29.1-29.6. °C) during January-March and warmer temperatures (31.9-33.3. °C) in June-August. Results suggest that all three species have had female-biased hatchling production for the past decades with less than 15.5%, 36.0%, and 23.7% males produced every year for greens, hawksbills and leatherbacks respectively since the late nineteenth century. Global warming will exacerbate this female-skew. For example, projections indicate that only 2.4% of green turtle hatchlings will be males by 2030, 1.0% by 2060, and 0.4% by 2090. On the other hand, future changes to nesting phenology have the potential to mitigate the extent of feminisation. In the absence of such phenological changes, management strategies to artificially lower incubation temperatures by shading nests or relocating nest clutches to deeper depths may be the only way to prevent the localised extinction of these turtle populations.

Impact of positively- versus negatively-worded items on the factor structure of three psychological measures: W-BQ22, W-BQ12 & SF-36

Background: The 22-item Well-being Questionnaire (W-BQ22) (Bradley, 1994) includes Anxiety, Depression, Energy and Positive Well-being subscales. However, the constructs of anxiety and depression could not be easily distinguished from each other. Consequently, the W-BQ12 was designed to include just three subscales, Negative Well-being (including only negatively-worded anxiety and depression items), Energy (2 positively- and 2 negativelyworded items) and Positive Well-being (all positively-worded items). The SF-36 (Ware & Sherbourne, 1983), a widely used health status measure, includes a 4-item vitality subscale (2 positively- and 2 negatively-worded items) and a 5-item mental health scale (2 positively worded and 3 negatively-worded items).

Method: Factor structures of W-BQ22, W-BQ12 and SF-36 were compared using data from 789 outpatients with diabetes.

Results: W-BQ22 factor analysis showed negatively-worded anxiety and depression items loading together, while positively-worded depression items loaded with positive well-being items and separately from positively-worded anxiety items. W-BQ12 loaded as intended on 3 factors, with negatively-worded anxiety and depression items loading together on one factor: negative well-being. The four energy items (2 positively- and 2 negatively-worded) loaded together (factor 3) and the four positive well-being items loaded together (factor 1). Unforced factor analysis of the SF-36 produced 5 factors and split the mental health and vitality items into two components, which could only be defined in terms of positive and negative wording. A forced 8-factor solution produced similar results, with the mental health and vitality items being split into two components according to their positive or negative wording. A forced 2-factor solution brought mental health/vitality items together, separate from physical health items.

Conclusion: The previously unrecognised influence of positive and negative wording on factor structure is clearly shown here to be of importance in conceptualising and designing measures of psychological well-being to be used with people with diabetes and may be of relevance for other populations.

Impact of the Learn to Play program on play, social competence and language for children aged 5 - 8 years who attend a specialist school

Introduction
The aim of this study was to investigate the change in the relationship between play, language and social skills of children aged 5–8 years pre and post participation in the ‘Learn to Play’ program. The Learn to Play program is a child led play based intervention aimed at developing self-initiated pretend play skills in children.

Methods
All 19 participants attended a specialist school, with 10 of the 19 children having a diagnosis of autism. The play, language and social skills of the children were assessed at baseline and at follow up. Children were assessed using the Child-Initiated Pretend Play Assessment, the Preschool Language Scale and the Penn Interactive Peer Play Scale. Follow up data collection occurred after the children had been participating in the Learn to Play program for 1 hour twice a week for 6 months.

Results
After 6 months in the program, typical indicators of play accounted for an increase of 47.3% in shared variance with social interaction and an increase of 36% in shared variance for social connection. For language, object substitution ability accounted for 50% of the shared variance, which was an increase of 27% from baseline.

Conclusion
The ‘Learn to Play’ program was associated with increases in children's language and social skills over a 6-month period within a special school setting, indicating the Learn to Play program is an effective intervention for children with developmental disabilities. This paper presents an example of how the Learn to Play program can be adapted into a classroom setting.

DSM-5 mixed specifier for manic episodes: evaluating the effect of depressive features on severity and treatment outcome using asenapine clinical trial data

Background:
To describe the frequency of mixed specifier as proposed in DSM-5 in bipolar I patients with manic episodes, and to evaluate the effect of mixed specifier on symptom severity and treatment outcome.

Methods:
This post-hoc analysis used proxies for DSM-5 mixed features specifier by using MADRS or PANSS items.

Results:
Of the 960 patients analysed, 34%, 18% and 4.3% of patients, respectively, had ≥3 depressive features with mild (score ≥1 for MADRS items and ≥2 for PANSS item), moderate (score ≥2 MADRS, ≥3 PANSS) and severe (score ≥3 MADRS, ≥4 PANSS) symptoms. In patients with ≥3 depressive features and independent of treatment: MADRS remission (score ≤12) rate decreased with increasing severity (61–43%) and YMRS remission (score ≤12) was similar for mild and moderate patients (36–37%), but higher for severe (54%). In asenapine-treated patients, the MADRS remission rate was stable regardless of baseline depressive symptom severity (range 64–67%), whereas remission decreased with increasing severity with olanzapine (63–38%) and placebo (49–25%). Reduction in YMRS was significantly greater for asenapine compared with placebo at day 2 across the 3 severity cut-offs and continued to decrease throughout the treatment period. The difference between olanzapine and placebo was statistically significant in mild and moderate patients.

Limitations:
Results are from post-hoc analyses.

Conclusions:
These analyses support the validity of proposed DSM-5 criteria. They confirm that depressive features are frequent in bipolar patients with manic episodes. With increasing baseline severity of depressive features, treatment outcome was poorer with olanzapine and placebo, but remained stable with asenapine.

Pseudomonas aeruginosa genotypes acquired by children with cystic fibrosis by age 5-years

BACKGROUND: We describe Pseudomonas aeruginosa acquisitions in children with cystic fibrosis (CF) aged ≤5-years, eradication treatment efficacy, and genotypic relationships between upper and lower airway isolates and strains from non-CF sources. METHODS: Of 168 CF children aged ≤5-years in a bronchoalveolar lavage (BAL)-directed therapy trial, 155 had detailed microbiological results. Overall, 201/271 (74%) P. aeruginosa isolates from BAL and oropharyngeal cultures were available for genotyping, including those collected before and after eradication therapy. RESULTS: Eighty-two (53%) subjects acquired P. aeruginosa, of which most were unique strains. Initial eradication success rate was 90%, but 36 (44%) reacquired P. aeruginosa, with genotypic substitutions more common in BAL (12/14) than oropharyngeal (3/11) cultures. Moreover, oropharyngeal cultures did not predict BAL genotypes reliably. CONCLUSIONS: CF children acquire environmental P. aeruginosa strains frequently. However, discordance between BAL and oropharyngeal strains raises questions over upper airway reservoirs and how to best determine eradication in non-expectorating children.

Validation of thigh-based accelerometer estimates of postural allocation in 5-12 year-olds

OBJECTIVES: To validate activPAL3™ (AP3) for classifying postural allocation, estimating time spent in postures and examining the number of breaks in sedentary behaviour (SB) in 5-12 year-olds. DESIGN: Laboratory-based validation study. METHODS: Fifty-seven children completed 15 sedentary, light- and moderate-to-vigorous intensity activities. Direct observation (DO) was used as the criterion measure. The accuracy of AP3 was examined using a confusion matrix, equivalence testing, Bland-Altman procedures and a paired t-test for 5-8y and 9-12y. RESULTS: Sensitivity of AP3 was 86.8%, 82.5% and 85.3% for sitting/lying, standing, and stepping, respectively, in 5-8y and 95.3%, 81.5% and 85.1%, respectively, in 9-12y. Time estimates of AP3 were equivalent to DO for sitting/lying in 9-12y and stepping in all ages, but not for sitting/lying in 5-12y and standing in all ages. Underestimation of sitting/lying time was smaller in 9-12y (1.4%, limits of agreement [LoA]: -13.8 to 11.1%) compared to 5-8y (12.6%, LoA: -39.8 to 14.7%). Underestimation for stepping time was small (5-8y: 6.5%, LoA: -18.3 to 5.3%; 9-12y: 7.6%, LoA: -16.8 to 1.6%). Considerable overestimation was found for standing (5-8y: 36.8%, LoA: -16.3 to 89.8%; 9-12y: 19.3%, LoA: -1.6 to 36.9%). SB breaks were significantly overestimated (5-8y: 53.2%, 9-12y: 28.3%, p<0.001). CONCLUSIONS: AP3 showed acceptable accuracy for classifying postures, however estimates of time spent standing were consistently overestimated and individual error was considerable. Estimates of sitting/lying were more accurate for 9-12y. Stepping time was accurately estimated for all ages. SB breaks were significantly overestimated, although the absolute difference was larger in 5-8y. Surveillance applications of AP3 would be acceptable, however, individual level applications might be less accurate.