In this task, you are given a passage which has a question and the context. You have to generate an answer to the question based on the information present in the context.
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Question: Context: Population-based studies of associations between subclinical hypercortisolism and risk for disease states, such as type 2 diabetes mellitus, have been difficult to assess because of imprecise measures of glucocorticoid exposure. Alternative measures (salivary cortisol and adrenal gland volume) have not been systematically compared with 24-h urine free cortisol (UFC) in a healthy population.', 'Our objectives were: 1) to determine whether 24-h UFC and total daily salivary cortisol correlated with each other, adrenal gland volume, and salivary cortisol after dexamethasone suppression and 2) to evaluate the association of adrenal gland volume with salivary cortisol after dexamethasone suppression.', 'This was a cross-sectional study of 20 healthy, premenopausal African-American women aged 18-45 yr.', 'Salivary cortisol was assessed at six time points throughout the day simultaneous with 24-h UFC collection. Adrenal gland volume was measured by computed tomography scan. Dexamethasone-suppressed salivary cortisol was measured at 0800 h after administration of 0.5 mg dexamethasone at 2300 h the prior evening.', 'Dexamethasone-suppressed salivary cortisol levels correlated strongly with individual, timed salivary cortisol measurements, total daily salivary cortisol (rs=0.75; P=0.0001; n=20), and adrenal gland volume (rs=0.66; P=0.004; n=17). Total daily salivary cortisol and adrenal gland volume also correlated (rs=0.46; P=0.04; n=19). In contrast, 24-h UFC levels did not correlate with any of the other hypothalamic-pituitary-adrenal axis measures.\Question: Do adrenal gland volume and dexamethasone-suppressed cortisol correlate with total daily salivary cortisol in African-American women?

Answer: A dexamethasone suppression test or adrenal gland volume may be alternative measures for characterizing subtle subclinical hypercortisolism in healthy adults.

Question: Context: To assess plantarflexion moment and hip joint moment after-effects following walking on a split-belt treadmill in healthy individuals and individuals post-stroke.', 'Cross-sectional study.', 'Ten healthy individuals (mean age 57.6 years (standard deviation; SD 17.2)) and twenty individuals post-stroke (mean age 49.3 years (SD 13.2)).', 'Participants walked on an instrumented split-belt treadmill under 3 gait periods: i) baseline (tied-belt); ii) adaptation (split-belt); and iii) post-adaptation (tied-belt). Participants post-stroke performed the protocol with the paretic and nonparetic leg on the faster belt when belts were split. Kinematic data were recorded with the Optotrak system and ground reaction forces were collected via the instrumented split-belt treadmill.', 'In both groups, the fast plantarflexion moment was reduced and the slow plantarflexion moment was increased from mid-stance to toe-off in the post-adaptation period. Significant relationships were found between the plantarflexion moment and contralateral step length.\Question: Is plantarflexion moment a contributor to step length after-effect following walking on a split-belt treadmill in individuals with stroke and healthy individuals?

Answer: Split-belt treadmills could be useful for restoring step length symmetry in individuals post-stroke who present with a longer paretic step length because the use of this type of intervention increases paretic plantarflexion moments. This intervention might be less recommended for individuals post-stroke with a shorter paretic step length because it reduces the paretic plantarflexion moment.

Question: Context: Tobacco smoke is worldwide one of the main preventable lifestyle inhalative pollutants causing severe adverse health effects. Epidemiological studies revealed association of tobacco smoking with epigenetic changes at single CpGs in blood. However, the biological relevance of the often only marginal methylation changes remains unclear.', 'Comparing genome-wide changes in CpG methylation of three recently reported epidemiological datasets, two obtained on whole blood and one on peripheral blood mononuclear cells (PBMCs), it becomes evident that the majority of methylation changes (86.7 and 93.3%) in whole blood account for changes in granulocytes. Analyzing, in more detail, seven highly significant reported smoking-induced methylation changes at single CpGs in different blood cell types of healthy volunteers (n=32), we confirmatively found a strong cell-type specificity. Two CpGs in GFI1 and F2RL3 were significantly hypomethylated in granulocytes (-11.3%, p=0.001; -8.7%, p=0.001, respectively) but not in PBMCs of smokers while two CpGs in CPOX and GPR15 were found to be hypomethylated in PBMC (-4.3%, p=0.003; -4.2%, P=0.009, respectively) and their subtypes of GPR15 non-expressing (-3.2%, p=0.027; -2.5%, p=0.032, respectively) and smoking-evoked GPR15 expressing T cells (-15.8%, p<0.001; -13.8%, p=0.018, respectively) but not in granulocytes. In contrast, cg05575921 within AHRR was hypomethylated in every analyzed cell type of smokers, but with a different degree. Both, hypomethylation at cg05575921 in granulocytes (-55.2% methylation change in smokers, p<0.001) and the frequency of GPR15+ T cells (9.8-37.1% in smokers), possessing a specific hypomethylation at cg19859270, were strongly associated with smoking behavior at individual level and could therefore serve as valuable biomarkers indicating a disturbed homeostasis in smokers. In contrast to the reported long-term persistent methylation changes in adult smokers after cessation, the hypomethylation at cg05575921 in prenatally tobacco smoke-exposed children (n=13) from our LINA cohort was less stable and disappeared already within 2years after birth.\Question: Does tobacco smoking differently influence cell types of the innate and adaptive immune system-indications from CpG site methylation?

Answer:
Studying cell type-specific methylation changes provides helpful information regarding the biological relevance of epigenetic modifications. Here, we could show that smoking differently affects both cells of the innate and adaptive immune systems.