Hello Sujit and Everyone else,
I'd like to pitch in with my perspective on the answers:
FOR NEW STUDENTS
1. What is the outcome and what are the comparison groups?
- The outcome is depression. Because this is a meta-analysis, the data is harmonised. So qualifying as depression takes 2 forms here:
1) Major Depressive Disorder diagnosed via a criteria such as DSM5 or ISCD
2) Elevated depressive symptoms as elicited through screening tools such as the Center for Epidemiologic Studies Depression scale
> comments: interesting that diagnosis through full criteria is practically put on the same level as a screening tool.
- Comparison groups have been based on exposure to physical activity, divided into 3 brackets based on METs of exercise:
1) 4.4 mMET-h/week. Which is basically half the minimum recommended physical activity levels
2) 8.8 mMET-h/week. Which corresponds with the minimum recommended physical activity levels
3) 17.5 mMET-h/week. Which should represent most of the benefits of increased physical activity.
> Comments: a lot of effort was put in adjusting the values to remove occupational activity, non-exercise activity and resting METs. So it is attempting to only control for exercise. They even calculated it as marginal METs, which attempts to remove the resting METs that occur during exercise.
2. What are the RRs which correspond to the figures 25% and 18%?
18% corresponds to the difference in relative risk of depression in subjects who hit 4.4 mMET-h/week of exercise compared with those who did not report any physical activity
25% corresponds to the difference in relative risk of depression in subjects who hit 8.8 mMET-h/week of exercise compared with those who did not report any physical activity
> comments: without diving into the rabbit hole of checking each individual paper, I'm not sure what classified as no physical activity and how this was measured.
> comments 2: essentially, the authors are trying to elicit a dose-response relationship from amount of exercise compared with people who do not exercise for the outcome of depression.
FOR RETURNING STUDENTS
3. What is the mediator (causal pathway) hypothesised?
The authors state it's likely there is more than 1 mediator. Examples include activation of pathways to get the "runner's high", long term neuroplastic adaptations, improved body image, improved social life, exposure to green spaces, amongst many other possible mediators. There is also the possibility of reverse causality, where depressed people are less likely to go outside (anhedonia - not enjoying activities you once enjoyed -, and lethargy being some of the diagnostic criteria of MDD)
4. What is the study design, and why was this design preferable to other options?
This is a systemic review and meta-analysis of 15 studies, as far as I can tell, they are all prospective cohort studies. Meta-analysis is the gold standard for evidence in order to answer a specific research question. Given the circumstances, using prospective cohort studies is a good option, because there are ethical issues with a clinical trial forcing people to be sedentary when we know there is good evidence for harm in a sedentary lifestyle.
5. Aside their outcomes, are there differences between people who run and people who don't? Why do some of these differences matter?
- definitely. People who run are able to run because they have spare time and resources to participate in a leisure activity or invest in their health. For example, people who are struggling to get by through working multiple jobs would not have this luxury. So SES is one.
There are also other background factors like physical health. If someone is in poor health or has a disability, they may not be able to run. Chronic medical conditions and disability is also likely to be a significant risk factor for depression.
6. To prove causation, do we need to "run" a trial?
As mentioned before, I think a proper clinical trial may be difficult to pass through the ethics board. I'm going to put my opinion that we don't need to "prove" causation. It is enough to provide compelling evidence, like this paper, that there is a dose-response relationship between exercise and depression. I think it's not difficult to convince people that exercise is good for them. The more clinically relevant question is how much is enough, and what is the potential loss of not doing enough. Splashing research money to conclusively prove this may not be wise use of funding.