You will be shown the abstract of a medical clinical trial report. Your task is to extract all the findings from this report into a JSON array. Each finding should contain the following five elements:

- Intervention: The medical intervention being tested. This should be a text span copied from the input passage.
- Comparator: The baseline against which the intervention is being evaluated. This should be a text span copied from the input passage. If no comparator is reported, set to `null`.
- Outcome: The medical outcome whose effect is being measured. This should be a text span copied from the input passage.
- Effect: The effect of the intervention on the outcome, relative to the comparator. The effect should be one of the following three values: ("significantly increased", "significantly decreased", "no significant difference").
- Evidence: The evidence for the effect. This should be a text span copied from the input passage.

Please format your output as a JSON array. Each entry in the output should be an array containing the 5 elements listed above, in the following order: [<intervention>, <comparator>, <outcome>, <effect>, <evidence>].

For example, an output with two findings might read:
```
[["aspirin", "placebo", "headache severity", "significantly decreased", "Mean headache severity was significantly decreased in the aspirin group compared to the placebo group (p < 0.05)."], ["aspirin", "placebo", "weight loss", "no significant difference", "We did not observe any difference in weight loss between the group given aspirin relative to the control group"]]
```

There are 1 finding(s) in the abstract below. Please extract them. Output only the JSON array with these 1 findings. Do not include any additional text.

Abstract:
ABSTRACT.PURPOSE:: This study examines whether cognitive function, as measured by the subtests of the Woodcock–Johnson III (WCJ-III) assessment, predicts listening-effort performance during dual tasks across the adults of varying ages.

ABSTRACT.MATERIALS AND METHODS:: Participants were divided into two groups. Group 1 consisted of 14 listeners (number of females = 11) who were 41–61 years old [mean = 53.18; standard deviation (SD) = 5.97]. Group 2 consisted of 15 listeners (number of females = 9) who were 63–81 years old (mean = 72.07; SD = 5.11). Participants were administered the WCJ-III Memory for Words, Auditory Working Memory, Visual Matching, and Decision Speed subtests. All participants were tested in each of the following three dual-task experimental conditions, which were varying in complexity: (1) auditory word recognition + visual processing, (2) auditory working memory (word) + visual processing, and (3) auditory working memory (sentence) + visual processing in noise.

ABSTRACT.RESULTS:: A repeated measures analysis of variance revealed that task complexity significantly affected the performance measures of auditory accuracy, visual accuracy, and processing speed. Linear regression revealed that the cognitive subtests of the WCJ-III test significantly predicted performance across dependent variable measures.

ABSTRACT.CONCLUSION:: Listening effort is significantly affected by task complexity, regardless of age. Performance on the WCJ-III test may predict listening effort in adults and may assist speech-language pathologist (SLPs) to understand challenges faced by participants when subjected to noise.

Findings:
[["simple DT  ", "complex DT, moderate DT", "visual processing speed", "significantly decreased", "A repeated measures analysis of variance revealed that task complexity significantly affected the performance measures of auditory accuracy, visual accuracy, and processing speed."]]