array(2) {
[0]=>
string(815) "
select r.*,
rc.info,
t.title as threadtitle,
u.username as username,
u.anonymous as useranonymous,
`f`.`value` AS `flairvalue`,
`ft`.`name` AS `flairname`,
`ft`.`colour` AS `flaircolour`,
`ft`.`icon` AS `flairicon`
from reply as r
join thread as t on t.id = r.threadid
join replycontent as rc on rc.replyid = r.id
join user as u on u.id = r.userid
left join `flair` `f` on `f`.`userid` = `u`.`id` and `f`.`categoryid` = `t`.`categoryid`
left join `flairoption` `ft` on `ft`.`id` = `f`.`flairoptionid`
where r.businessid = :businessId
and r.threadid = :threadId
group by r.id
order by r.utcdated desc
limit 0,50
"
[1]=>
array(2) {
["businessId"]=>
int(1)
["threadId"]=>
int(12652)
}
}

Years ago
Skins Personal Prefrence
Suggest that if you intend using a "personal preference" in your report, that you design an approriate survey that can clearly define what is good and or bad about compression garments - get 50-100 sports people to fill it out. That way you have some contol over the area's that you want to address.
Approach sports clubs (i'm thinking NBL, NWBL, AFL, National Netball League) with your survey,they may be interested in the data and could help with the questions.
