| Literature DB >> 35907840 |
Emilia Berin1, Anna-Clara Spetz Holm2, Mats Hammar2, Lotta Lindh-Åstrand2, Carina Berterö3.
Abstract
INTRODUCTION: Resistance training may be an effective intervention to improve menopausal symptoms and increase women's quality of life. However, most postmenopausal women do not perform regular resistance training. The purpose of this study was to explore postmenopausal women's experiences of participation in a resistance-training intervention to find barriers and motivators for the training.Entities:
Keywords: Exercise motivation; Hot flushes; Menopause; Qualitative research; Resistance training; Strength training; Vasomotor symptoms
Mesh:
Year: 2022 PMID: 35907840 PMCID: PMC9338607 DOI: 10.1186/s12905-022-01900-0
Source DB: PubMed Journal: BMC Womens Health ISSN: 1472-6874 Impact factor: 2.742
Sociodemographic characteristics of participants
| Mean (range) | |
| 56.6 (49–68) | |
| N | |
| 49–50 | 3 |
| 51–55 | 5 |
| 56–60 | 2 |
| 61–65 | 4 |
| 65–68 | 1 |
| Mean (range) | |
| 5.7 (1.1–16.25) | |
| Median | |
| 4.1 | |
| Mean (range) | |
| 5.9 (1–18) | |
| Married or living with partner, N | 13 |
| Single, living alone, N | 2 |
| Living with children, N | 6 |
| Single parent, N | 2 |
| Employed, N | 13 |
| Retired, N | 2 |
The table shows sociodemographic characteristics of included participants. N = 15
Fig. 1a Preliminary thematic map showing preliminary themes and subthemes, b reworked thematic map after revision of themes. Themes are close to final
Fig. 2The final three themes that were constructed as a result of the analysis. The map shows the themes as a process
Phases of data analysis
| Phase | Description | Example | |
|---|---|---|---|
| 1. Data familiarisation | Transcripts from interviews were read several times and initial notes and thoughts were written down | “Positive experience, no obstacles” (notes Participant 6) | |
| 2. Generation of initial codes | Coding was performed separately by two researchers (EB, CB), and data extracts collated within each code. Codes were then compared and discussed between the two researchers | ”I have a craving for it (the strength training) now, because I think it’s so fun, so I still exercise at least three times per week” | Initial code: Developed craving for strength training |
| 3. Generation of initial themes | Codes were collated into initial themes and subthemes independently by two researchers (EB, CB), a thematic map was constructed for each interview | Initial code: “Developed craving for strength training” | Initial theme: Lifestyle change—exercise addictive |
| 4. Initial themes reviewed | The initial themes were reviewed by reading all data extracts belonging to each initial theme and the initial themes reworked to generate a preliminary thematic map of the whole data set. The themes were further reviewed by re-reading the whole data set and ensuring the accurate representation of the raw data in the themes | See Fig. | |
| 5. Refining and defining themes | The themes were refined in an analytic process of discussing the meaning and definition of each theme, and checking the final themes against the raw data set | See Fig. | |
| 6. Report writing | The themes presented in a report with definitions of each theme and the story they tell, along with data extracts represent the themes |
The table shows the phases of thematic analysis that were undertaken. Steps 4 and 5 involved the whole research group on several occasions during the process