ArticleJournal of medicine and life2022
Predictors of regular physical activity behavior and quality of life in post-menopausal Iranian women based on the multi-theory model.
Article in Journal of medicine and life, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Utilization of the multi-theory model (MTM) of health behavior change to explain health behaviors: A systematic review.Health promotion perspectives · 2024Pooled it
- Applying multi-theory model to determine intentions to breast self-awareness among female health workers in Kabul, Afghanistan.Frontiers in public health · 2026Article
- Exploring Yoga Behaviors among College Students Based on the Multi-Theory Model (MTM) of Health Behavior Change.International journal of environmental research and public health · 2023Article
- The relationship between physical activity and the severity of menopausal symptoms: a cross-sectional study.BMC women's health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This research aims to identify the predictive factors related to the initiation and sustaining of regular physical activity behaviors and their influence in adapting to menopausal symptoms. The study uses the multi-theory model (MTM) as the conceptual framework. The descriptive cross-sectional research was conducted on 200 post-menopausal women aged 45-55 years. All participants were referred to health centers, where they completed a three-part questionnaire involving: demographic information, a questionnaire on the influence of regular physical activity on the onset and sustaining of menopause using the MTM, and a standard questionnaire of menopausal quality of life. Data were collected, managed, and analyzed using SPSS 20 and AMOS 23 software. This study reveals that behavioral confidence and changes in the physical environment with coefficients of 0.55 and 0.14 respectively had a direct and significant impact on the initiation of regular physical activity-related behaviors during menopause. The construct of participatory dialogue had no significant impact on the initiation of regular physical activity-related behaviors and menopause. Regarding the sustainability of regular physical activity, the emotional transformation construct with a coefficient of 0.73 and change in social environment construct with a coefficient of 0.11 directly and significantly impact keeping regular physical activity behaviors due to menopause. Therefore, interventions based on the MTM can prove very useful for this specific population. In addition, the use of constructs validated by this study will especially be useful in producing evidence-based intervention for the target population.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.