This week is alcohol awareness week and never has it been so important, as many people found an escape from the strain and fear of the lockdown at the bottom of a bottle. Despite there now being some light at the end of the tunnel, there is a struggle for many to break the habit they have developed, and I see more and more people coming for hypnotherapy to help with alcohol dependency.
In a normal year alcohol costs the NHS 3.5 billion, this year it is bound to be worse. A survey by Alcohol Change UK released in July reported that one in five people were drinking more than before the lockdown if we extrapolate that out it translates into millions of people. They reported a 242% rise in visits to their site between March and July. I have seen an increase in clients with anxiety issues over the last few months and many of them report self-medicating with alcohol, the UK clearly has a rising problem with alcohol dependency.
There are some great resources available this year through PHE Partnerships Marketing Team who have teamed up with Alcohol Change UK, such as a leaflet on how alcohol impacts mental health, factsheets, and an online or printable quiz. These tools are not limited to now, they will be useful with and for clients all year-round, utilising innovative ways to raise client awareness which avoids a didactic approach. It is also worth mentioning here as the focus has been the impact of COVID 19 on mental health, the Every Mind Matters campaign has a useful online questionnaire that can help people assess what their needs are and how they have been impacted on by the events this year.
Hypnotherapy is well known for its help with one of our biggest harmful addictions, smoking. There is a growing awareness that addictive patterns can be worked on over a range of problems utilising hypnotherapy and we at UKCHO are striving to make the NHS, the ASA, and CNHC aware of the benefits hypnotherapy can bring to addictions like alcohol dependency. To find out more about UKCHO’s work visit www.ukcho.co.uk
Zetta Thomelin