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Investigating relationships between women's moods and their menstrual cycles - a multimethod study
A multi-method study was conducted to investigate the relationships between a woman’s menstrual-cycle and her moods. Twenty eight participants were recruited using convenience sampling. Each participant provided data for two full menstrual cycles by taking part in a pre and post-study in-depth inter...
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| Format: | Thesis |
| Language: | English |
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Department of Psychiatry and Mental Health
2019
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| _version_ | 1867613348727619584 |
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| access_status_str | Open Access |
| author | Sieberhagen, Stephanie |
| author2 | Adnams, Colleen |
| author_browse | Adnams, Colleen Sieberhagen, Stephanie |
| author_facet | Adnams, Colleen Sieberhagen, Stephanie |
| author_sort | Sieberhagen, Stephanie |
| collection | Thesis |
| description | A multi-method study was conducted to investigate the relationships between a woman’s menstrual-cycle and her moods. Twenty eight participants were recruited using convenience sampling. Each participant provided data for two full menstrual cycles by taking part in a pre and post-study in-depth interview; answering a structured daily self-report diary utilising a Likert scale and completing three established research instruments – the Brunel Scale of Moods, the Menstrual Distress Questionnaire and the Born-Steiner Irritability Questionnaire, weekly. Interviews were conducted in person and quantitative data were collected electronically via e-mail. The mixed-methods methodology resulted in quantitative data that were analysed using STATA statistical software and the ecological multivariate data analysis software package known as PRIMER. Results from the statistical software were represented graphically and indicated that there is a relationship between menstrual cycle days and moods, with individual women’s correlations differing from each other to some extent. The data confirmed that there are groups of women who follow a very similar mood pattern and that educational level, vocation, exercise and participation in volunteer work or hobbies defines these groups to some degree. The qualitative data supported these findings and indicated the impact of menstrual cycle related moods on women’s daily functioning. The study concludes that menstrual cycle related moods play a role in overall life satisfaction and that psycho education and awareness can improve overall quality of life. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/29991 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:34:43.659Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Department of Psychiatry and Mental Health |
| publisherStr | Department of Psychiatry and Mental Health |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/29991 Investigating relationships between women's moods and their menstrual cycles - a multimethod study Sieberhagen, Stephanie Adnams, Colleen Artz, Lillian A multi-method study was conducted to investigate the relationships between a woman’s menstrual-cycle and her moods. Twenty eight participants were recruited using convenience sampling. Each participant provided data for two full menstrual cycles by taking part in a pre and post-study in-depth interview; answering a structured daily self-report diary utilising a Likert scale and completing three established research instruments – the Brunel Scale of Moods, the Menstrual Distress Questionnaire and the Born-Steiner Irritability Questionnaire, weekly. Interviews were conducted in person and quantitative data were collected electronically via e-mail. The mixed-methods methodology resulted in quantitative data that were analysed using STATA statistical software and the ecological multivariate data analysis software package known as PRIMER. Results from the statistical software were represented graphically and indicated that there is a relationship between menstrual cycle days and moods, with individual women’s correlations differing from each other to some extent. The data confirmed that there are groups of women who follow a very similar mood pattern and that educational level, vocation, exercise and participation in volunteer work or hobbies defines these groups to some degree. The qualitative data supported these findings and indicated the impact of menstrual cycle related moods on women’s daily functioning. The study concludes that menstrual cycle related moods play a role in overall life satisfaction and that psycho education and awareness can improve overall quality of life. 2019-05-10T10:43:09Z 2019-05-10T10:43:09Z 2018 2019-05-10T09:14:33Z Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/29991 eng application/pdf Department of Psychiatry and Mental Health Faculty of Health Sciences |
| spellingShingle | Sieberhagen, Stephanie Investigating relationships between women's moods and their menstrual cycles - a multimethod study |
| thesis_degree_str | Doctoral |
| title | Investigating relationships between women's moods and their menstrual cycles - a multimethod study |
| title_full | Investigating relationships between women's moods and their menstrual cycles - a multimethod study |
| title_fullStr | Investigating relationships between women's moods and their menstrual cycles - a multimethod study |
| title_full_unstemmed | Investigating relationships between women's moods and their menstrual cycles - a multimethod study |
| title_short | Investigating relationships between women's moods and their menstrual cycles - a multimethod study |
| title_sort | investigating relationships between women s moods and their menstrual cycles a multimethod study |
| url | http://hdl.handle.net/11427/29991 |
| work_keys_str_mv | AT sieberhagenstephanie investigatingrelationshipsbetweenwomensmoodsandtheirmenstrualcyclesamultimethodstudy |