Learning about a person's experience with menstruation unlocks deeper processing in therapy.

Norge Nyheter Nyheter

Learning about a person's experience with menstruation unlocks deeper processing in therapy.
Norge Siste Nytt,Norge Overskrifter
  • 📰 PsychToday
  • ⏱ Reading Time:
  • 27 sec. here
  • 2 min. at publisher
  • 📊 Quality Score:
  • News: 14%
  • Publisher: 51%

Why didn't anybody tell me this? The important reasons why you and your therapist should understand your menstrual cycle.

Understanding possible cycle patterns related to mental health is critical for good therapeutic care.If you knew that a regularly occurring process in your body, happening roughly every 20 to 40 days, might impact all of your major body systems and change the way you feel, would you want to know more? And let’s say that research shows a correlation between certain phases of this process and a worsening of mental health conditions and emotional dysregulation.

For some people, certain menstrual phases feel better, or might even bring a reported improvement in mood and mental health. If positive patterns exist, this is also very important for treatment! A few simple follow-up questions will help the client and therapist learn more about the client's unique cultural context.

4. Do you notice that relationships feel different at different times in your cycle? Have you observed a shift in feelings toward important people in your life at times in your cycle?

Vi har oppsummert denne nyheten slik at du kan lese den raskt. Er du interessert i nyhetene kan du lese hele teksten her. Les mer:

PsychToday /  🏆 714. in US

Norge Siste Nytt, Norge Overskrifter

Similar News:Du kan også lese nyheter som ligner på denne som vi har samlet inn fra andre nyhetskilder.

Deep Reinforcement Learning Libraries and Deep Reinforcement Learning in FinanceDeep Reinforcement Learning Libraries and Deep Reinforcement Learning in FinanceExplore the landscape of open-source DRL libraries for finance, including OpenAI Gym, Google Dopamine, RLlib, and TensorLayer
Les mer »

Learning to grieve is a life skill as necessary as learning to tie your shoe.Learning to grieve is a life skill as necessary as learning to tie your shoe.Learning to grieve is a life skill as necessary as learning to tie your shoe.
Les mer »

Deep Lake, a Lakehouse for Deep Learning: Machine Learning Use CasesDeep Lake, a Lakehouse for Deep Learning: Machine Learning Use CasesResearchers introduce Deep Lake, an open-source lakehouse for deep learning, optimizing complex data storage and streaming for deep learning frameworks.
Les mer »

Learning Semantic Knowledge from Wikipedia: Learning Concept Hierarchies from Document CategoriesLearning Semantic Knowledge from Wikipedia: Learning Concept Hierarchies from Document CategoriesIn this study, researchers exploit rich, naturally-occurring structures on Wikipedia for various NLP tasks.
Les mer »

Learning Semantic Knowledge from Wikipedia: Learning Entity Representations from HyperlinksLearning Semantic Knowledge from Wikipedia: Learning Entity Representations from HyperlinksIn this study, researchers exploit rich, naturally-occurring structures on Wikipedia for various NLP tasks.
Les mer »

Why Generative AI Threatens Examination Integrity, Creativity And LearningWhy Generative AI Threatens Examination Integrity, Creativity And LearningDewayne Hart is SEMAIS President and CEO. Read Dewayne Hart's full executive profile here.
Les mer »



Render Time: 2025-02-25 10:56:53