Tag: ASHA Neighbourhood Project

Asha’s Women Together programme boosts self confidence

The Beeston and Holbeck Women Together project are an independent group which ran for one year, formed after Asha Neighbourhood Project was successful in getting a grant from Live Well Leeds in March 2023. During the project 120 women took part in 17 weeks of baking/cooking sessions with existing service

Asha celebrates another year of delivering services to women

Beeston’s Asha Neighbourhood Project held its open Annual General Meeting at the Rowland Road WMC on Monday 27 November 2023. Katy Ashworth, Chair of the Management Committee, welcomed local women, partner organisations and Hunslet & Riverside Ward Councillors Mohammed Iqbal and Paul Wray (Labour), and Ed Carlisle (Green) plus the

Three Asian women are sat at a table with worksheets. The word Safeguarding is spelt out on the wall behind them

Women’s safeguarding event at Asha a success

The Asha Neighbourhood Project in Beeston recently hosted a successful Safeguarding Awareness event. The event was organised by Tahena, Asha’s Health Development worker and Syedun from the Sanctuary project, and built on the successes of past sessions on Safeguarding. Asha organised a range of topics and activities to discuss with

Courses at Asha increase women’s self-confidence

Beeston’s Asha Neighbourhood Project, in partnership with Humans Being (Supporting Women Unfolding project) delivered a free 6-week course before Christmas. 17 women from LS11 in joined the course and reported increased confidence and self-esteem. They learnt how gender impacts their mental wellness, the power of listening and asking questions, and

Women-only swimming sessions at John Charles Centre for Sport

South Leeds has a particularly large Asian (predominantly Pakistani and Bangladeshi) community along with a highly transient population new migrants. The area also has high rates of the four largest health issues: smoking; obesity; diabetes; and COPD (chronic obstructive pulmonary disease) as well as larger than average numbers of severe