Notes

1. pain prevalence stratified by population type (workers/general/elderly), for each pain type (8); "Pain Tables by Type global review 12 aug TJ.docx"
2. gender odds ratio meta analysis; need number of subjects, crude (unadjusted) odds ratio, proportion of males, overall prevalence of pain, and consistent pain type (e.g., "All"); "gender global review 12 aug TJ.docx"
3. depression/anxiety/PTSD odds ratio meta analysis; need same as above for gender odds ratio meta analysis; "Depression, anxiety, ptsd~1.docx‎"
4. other (rural/education/smoking/income/mental illness) odds ratio meta analysis; need same as above for gender odds ratio meta analysis; "other associations global review 12 aug TJ.docx"
5. odds ratio for disability in pain versus no pain; need all items listed above for each study; this outcome is difficult because disability is not well defined by each study; "disability table global review 12 aug TJ.docx"
6. age odds ratio quantitative meta analysis is difficult because studies do not use the same age categorizations; "Age table global review 12 aug TJ.docx"
7. do not use "global review spreadsheet ...xlsx"

TODO

1. pain prevalence meta-analysis is easiest, once data are cleaned; Xue will coordinate with Tracy and student in this regard
2. the gender association meta-analysis is the most clean, but need to get all of the required data; Xue will give an example of the required data
3. if the depression/anxiety/PTSD outcomes are well defined, then these meta-analyses can be done as well; still need required information
4. disability and age are both problematic; recommend examining these last, or omitting