Given a passage, construct a question on the basis of the information present in the passage. Construct the question in such a way that (i) it is unambiguous, (ii) it is answerable from the passage, (iii) its answer is unique (iv) it answer uses text phrases from the passage. Avoid creating questions that (i) can't be answered correctly without actually understanding the passage and (ii) uses the same words or phrases given in the passage.

[EX Q]: A significant proportion of school-aged children experience special health care needs (SCHN) and seek care from pediatricians with a wide range of condition types and severity levels. This study examines the learning pathways of children with established (already diagnosed at school entry) and emerging (teacher identified) SHCN from school entry through the elementary school years.', 'The Longitudinal Study of Australian Children (LSAC) is a nationally representative clustered cross-sequential sample of 2 cohorts of Australian children which commenced in May 2004. Data were analyzed from the LSAC kindergarten cohort (n=4,983), as well as a subsample of 720 children for whom teachers also completed the Australian Early Development Index checklist, a measure of early childhood development at school entry that includes SHCN.', 'Latent class analysis was utilized to establish 3 academic trajectories from 4-5 to 10-11 years: high (24.3%), average (49.8%), and low (23.6%). Descriptive statistics revealed a trend for both children with established and emerging SHCN to fall into weaker performing learning pathways. Multinomial logistic regression focusing on those children with emerging SHCN confirmed this pattern of results, even after adjustment for covariates (relative risk 3.06, 95% confidence interval 1.03-9.10). Children who additionally had low socioeconomic standing were particularly at risk.
[EX A]: Does learning trajectories of children with special health care need across the severity spectrum?

[EX Q]: The aim of this exploratory study was to identify those factors associated with asthma control assessed according to GINA Guidelines.', '809 (56% female) subjects with asthma were recruited consecutively from both specialist and primary care centres. Asthma control was assessed over a 4-week follow-up period using a composite measure. A multivariate analysis was performed, in which asthma control was included as the dependent variable and several explanatory variables were included as independent variables.', 'Analysis performed on the whole population rendered gender (p=0.003), the type of physician (p<0.001), and age group (p<0.001), as significant factors associated with asthma control. In adults, gender (p=0.001), asthma severity (p<0.001), and type of physician (p<0.001) were significant, and only asthma severity was significant (p=0.043) in children.
[EX A]: Are women , patients with severe asthma , and patients attended by primary care physicians , at higher risk of suffering from poorly controlled asthma?

[EX Q]: Health-risk behaviours (HRB) increase the risk of disability and chronic diseases at an older age. This study aimed to compare Slovakia and the Netherlands regarding differences in the prevalence of HRB by neighbourhood and individual deprivation and to determine whether area differences could be explained by the socio-economic position (SEP) of the residents.', 'We obtained data on non-institutionalized residents aged 65 years from the EU-FP7: EURO-URHIS 2 project from Slovak (N = 665, response rate 44.0%) and Dutch cities (N = 795, response rate 50.2%). HRB concerned daily smoking, binge drinking, physical activity, consumption of fruits and vegetables and body mass index. Area deprivation was measured by the neighbourhood unemployment rate. Individual SEP was measured by education and household income with financial strain. We used multilevel logistic regression.', 'In Slovakia, no HRB was associated with either neighbourhood unemployment or individual SEP. The elderly in the Netherlands from the least favourable neighbourhoods were more likely to be daily smokers [odds ratio (OR) 2.32; 95% confidence interval (CI) 1.25, 4.30] and overweight (OR 1.84; 95% CI 1.24, 2.75) than residents from the most favourable ones. For the Dutch elderly the gradients varied per HRB and per individual-level SEP indicator. Individual SEP explained country differences in the association of area unemployment with smoking and lack of physical activity but not that with overweight.
[EX A]:
Does the effect of neighbourhood unemployment on health-risk behaviours in elderly differ between Slovak and Dutch cities?