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.

Example Input: Context: The measurement of affective symptoms in older persons who decline cognitively is uncertain. The authors investigated whether mood variability predicts dementia in patients with age-related macular degeneration (AMD).', 'Three-year observational study after a clinical trial.', 'Community follow-up of outpatients ascertained from retina clinics.', 'One hundred sixty patients with AMD.', "Geriatric Depression Scale (GDS) administered every 2 weeks for 6 months to subjects; Informant Questionnaire for Cognitive Decline in the Elderly (IQCODE) administered to subjects' knowledgeable informants.", 'Twenty-three subjects (14.4%) declined cognitively. Age, education, baseline GDS score > or =5, and variability in GDS scores (i.e., fluctuations between adjacent time points) were associated with cognitive decline. For GDS variability, each 1 unit increase in the residual standard deviation (SD) of the GDS increased the risk for cognitive decline by 93% (IDR = 1.92; 95% CI [1.27-2.91]). Thus, subjects with a residual SD of 1 were nearly twice as likely to become demented as subjects with no variability in GDS scores. The risk for subjects with SDs of 2 increased more than threefold (IDR = 3.68; 95% CI [1.61-8.47]). A multiple regression analysis showed that GDS variability was a significant risk factor for dementia after controlling for significant covariates.\Question: Does variability in depressive symptoms predict cognitive decline in age-related macular degeneration?
Example Output: These data suggest a useful approach to conceptualizing and measuring depressive symptoms in older persons. Variability in self-reported mood may be an early sign of dementia and may offer new insights into the neurobiological mechanisms linking depression and cognition

Example Input: Context: Cannabis use disorders (CUD) may influence the course of bipolar disorder (BD), but key confounding factors such as tobacco smoking have not been adequately addressed. This study examined whether CUD was associated with a more severe illness course in tobacco smoking BD patients.', 'A sample of French and Norwegian tobacco smoking patients with BD I and II (N=642) was investigated. DSM-IV diagnoses and other characteristics were obtained through personal interviews using structured questionnaires. The association between CUD and illness course was assessed in regression analyses.', 'In bivariate analyses, CUD was associated with earlier BD onset, higher frequency of manic (in BD I) and depressive episodes and hospitalizations per illness year, and a higher occurrence of psychotic episodes. After controlling for potential confounders, the relationships with earlier BD onset (B=-5.60 95% CI=-7.65 to -3.64), and increased rates of manic episodes (OR=1.93, 95% CI: 1.15 to 3.23) and hospitalizations (OR=2.93, 95% CI: 1.85 to 4.64) remained statistically significant.\Question: Is cannabis use disorder associated with greater illness severity in tobacco smoking patients with bipolar disorder?
Example Output: Despite the multivariate approach, differences between the two samples may lead to spurious findings related to hidden confounders. Substance use and mood episode information was collected retrospectively, and potential birth cohort effects could not be controlled for.

Example Input: Context: Inadequate nutrition in very-low-birthweight (VLBW) infants is known to be associated with growth failure and poor neurological outcomes. We aimed to investigate the association of early aggressive protein and energy intakes with weight gain and 18-month neurodevelopmental outcomes in VLBW infants.', "A total of 90 infants among 129 infants who survived to discharge were included and divided into two groups (early aggressive nutrition [n = 52] vs conventional nutrition [n = 38]). Clinical findings were compared between the two groups and daily protein and energy intakes were collected for the first 4 weeks of life. Multiple regression analyses tested the association between weekly protein or energy intakes and the result of each category of the Denver Developmental Screening Test II at 18 months' corrected age or weight gain.", "The early aggressive nutrition group had higher rates of normal language development and lower rates of growth failure (<10th percentile) at both 40 weeks' and 18 months' corrected age compared to the conventional nutrition group. After controlling for the confounding variables, higher first week protein and energy intakes each independently contributed to normal language development (odds ratio [95% confidence interval]; 9.4 [1.8-49.6] per 1\u2009g/kg of protein increase and 1.7 [1.1-2.8] per 10\u2009kcal/kg of energy increase). Higher first-week protein intake was associated with a higher weight at 40 weeks' corrected age (r = 0.41, P = 0.005).\Question: Does early aggressive nutrition enhance language development in very low-birthweight infants?
Example Output:
This study demonstrates the importance of the protein and energy intakes in VLBW infants in the first week of life not only for growth but also for better language development.