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SELECT o.`option`, `wasusd` AS wasPrice, `nowusd` AS nowPrice, p.`product`, p.`name`, p.`seourl`, sum(s.`stock`) as `stock`, sum(s.`sold`) as `sold`, 0 + IF((MAX(pt.`supertop`)>0),990000,0) + IF(os.`us-usd-online`='N' AND sum(s.`sold`) < 1, ROUND( 10000/(sum(s.`sold`)+1) ) ,sum(s.`sold`)) + IF(os.`us-usd-online`='N' AND sum(s.`sold`) > 1, ROUND( 1000+(sum(s.`sold`)+1) ) ,sum(s.`sold`)) + IF(os.`us-usd-online`='N' AND GROUP_CONCAT(DISTINCT om.`modifierID`) NOT LIKE('%95%'),910000,0) + IF(os.`us-usd-online` IN ('H','N','E','F','R','V') AND (GROUP_CONCAT(DISTINCT om.`modifierID`) NOT LIKE('%95%')),10000,0) + IF( GROUP_CONCAT(DISTINCT om.`modifierID`) NOT LIKE('%95%'),3500,0) AS `rank`, 0 + IF(os.`us-usd-online`='N' AND sum(s.`sold`) < 10, ROUND ( 910000/(sum(s.`sold`)+1) ) ,sum(s.`sold`)) + IF(os.`us-usd-online`='N' AND sum(s.`sold`) > 10, ROUND ( 91000+(sum(s.`sold`)+1) ) ,0) + IF(os.`us-usd-online`='E', 80000, 0) + IF(os.`us-usd-online`='F', 70000, 0) + IF(os.`us-usd-online`='R', 60000, 0) + IF(os.`us-usd-online`='U', 50000, 0) + IF(os.`us-usd-online`='S', 40000, 0) + IF(os.`us-usd-online`='C', 30000, 0) AS `newarrivalrank`, c.`basecolour`, c.`colour` AS colour, CONCAT( CONCAT('d', GROUP_CONCAT(DISTINCT CAST(bsm.`dress-size` AS UNSIGNED) SEPARATOR ',d')), ',', CONCAT('t', GROUP_CONCAT(DISTINCT CAST(bsm.`trouser-size` AS UNSIGNED) SEPARATOR ',t')), ',', CONCAT('l', GROUP_CONCAT(DISTINCT CAST(bsm.`leg-length` AS UNSIGNED) SEPARATOR ',l')), ',', CONCAT('s', GROUP_CONCAT(DISTINCT IF( ROUND(bsm.`shoe-size`) = bsm.`shoe-size`, CAST(bsm.`shoe-size` AS UNSIGNED), CAST(bsm.`shoe-size` AS char)) SEPARATOR ',s')) ) AS sizes, ob.`brandID`, os.`us-usd-online` AS status, GROUP_CONCAT(DISTINCT om.`modifierID`) AS modifiers, GROUP_CONCAT(DISTINCT od.`departmentID`) AS departments, MAX(pt.`promotext`) AS 'promoText', MAX(pt.`colourcode`) AS 'promoTextColour', MAX(pt.`badge`) AS 'badge', o.rating FROM `option-us` AS o JOIN `product-us` AS p ON (p.`product` = o.`product`) JOIN `colour` AS c ON (o.`colour` = c.`colour`) JOIN `sku-us-usd` AS s ON (o.`option` = s.`option`) LEFT JOIN `base-size-map` AS bsm ON s.`base-size` = bsm.`base-size` JOIN `option-brand` AS ob ON (ob.`option` = o.`option`) JOIN `option-department` AS od ON (o.`option` = od.`option`) JOIN `option-status` AS os ON (o.`option` = os.`option`) LEFT JOIN `option-modifier` AS om ON (om.`option` = o.`option` AND om.`modifierID` IN (SELECT `modifierID` FROM `modifier` WHERE `refinement` = 1) ) LEFT JOIN `promotext` AS pt ON (pt.`option` = o.`option` AND `site` = 'us' AND `currency` = 'usd' AND `from` < NOW() AND `to` > NOW() ) WHERE o.`option` = s.`option` AND s.`stock`+s.`backorderable`> 0 AND o.`option` IN (SELECT `option-modifier`.`option` FROM `option-modifier` WHERE `option-modifier`.`modifierID` IN (64) ) AND os.`us-usd-online` IN ('N','E','F','R','M','S','U','C','V') GROUP BY o.`option` ORDER BY `rank` DESC, `stock` DESC, pt.`from` DESC
Tall Active wear For Women
Get active with our fantastic range of tall leisurewear, perfect for sporty activity as well as casual lounging at home. Browse the collection for a variety of lounge pants and jackets that offer comfort, freedom of movement and sporty styling. Yoga bunnies are sure to love our Wide Leg Yoga Pants, also available in slim leg and cuffed shapes, and the matching zip-through jackets, ideal for fitness or relaxing. As well as jogging bottoms, hoodies and slouchy sweaters, our leisurewear range also features a selection of stylish and flattering swimwear - so whatever your fitness routine, you'll find something to add to your kit bag.
Based on 168 customer reviews our leisurewear are rated 4 out of 5.
Discover 47 leisurewear with prices ranging from US $25.00 to US $189.00