218 research outputs found

    The AHAWOMEN project: study protocol of a multi‑design research for exploring HAPA predictors of exercise in postmenopausal women

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    This research is funded by FEDER/Junta de Andalucía — Consejería de Transformación Económica, Industria, Conocimiento y Universidades (I + D + I Programa Operativo FEDER de Andalucía 2014–2020). Research Project B-CTS-342-UGR20 (2021–23). This research project has obtained formal ethical review by the Ethics Committee on Human Research of the University of Granada (Spain), reg. B-CTS-342-UGR20 (17/11/2021) and has undergone independent peer-review from the funding body (29/07/2021). The funding body has no role in the design of the study, the collection, analysis and interpretation of data and the writing of the manuscript.Background The postmenopausal period can represent an opportunity for women to improve their health and well-being. The Active and Healthy Ageing in Women during early postmenopause (AHAWOMEN) study aims to identify the key determinants of an active lifestyle among middle-aged women, with a focus on the stages and the social-cognitive variables outlined in the Health Action Process Approach (HAPA) model, a theoretical framework for understanding health behaviour change. We expected that HAPA factors and processes of intention creation (motivational phase) and action adoption (volitional phase) will be significant predictors of exercise initiation and maintenance, supporting both the HAPA tenets and the efficacy of HAPA-based interventions. Methods/design This study was approved by the authors’ Institutional Review Committee. Postmenopausal women aged between 45 and 65 years will voluntarily participate. The participants will be allocated to one of three groups: Intervention-Initiators (n = 100, random allocation), Control-Sedentary (n = 100, random allocation) or Control-Active (n = 100, non-random allocation). The intervention group will engage in a supervised exercise programme lasting at least 3 months, supplemented with a HAPA-based intervention for behaviour change. The sedentary control group will not receive any intervention to change their physical activity, while the active control group will consist of women who are already regularly adhering to an active lifestyle. Study variables will be measured at baseline and postintervention phases, as well as at 1, 3, 6 and 12-month follow-ups. The predictors of exercise behaviour in the different phases of the behavioural change process will be explored and compared within and between groups throughout the study. These analyses will help identify the factors that determine the adoption of a healthy active behaviour. Additionally, the effectiveness of the model and the intervention for changing active behaviour will be evaluated. Discussion This paper describes the rationale, development and methods used in the AHAWOMEN project. Supporting women who intend to become active can help them to translate their goals into sustainable action. Verifying that the HAPA predictions are applicable to postmenopausal women’s adoption of exercise would provide the basis for designing effective interventions for promoting healthy and active ageing that are also tailored to the experiences of middle-aged women.FEDER/Junta de Andalucía B-CTS-342-UGR20University of Granada B-CTS-342-UGR2

    Development of a Living Lab for a Mobile-Based Health Program for Korean-Chinese Working Women in South Korea: Mixed Methods Study

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    BACKGROUND: Korean-Chinese (KC) women make up the largest group of female migrants in South Korea. To prevent and manage chronic diseases in middle-aged KC women working full time, it is necessary to develop health promotion programs that utilize an online platform because such a platform would allow individuals to participate in health promotion interventions at their convenience. OBJECTIVE: This study aimed to develop a living lab for a mobile-based health (LLm Health) program focused on improving the physical activity and cultural adaptation of KC women workers. METHODS: We used a mixed methods design. Living lab principles were factored into the LLm Health program, including the use of multiple methods, user engagement, multistakeholder participants, real-life settings, and cocreation. The program was developed using the 4 steps of the intervention mapping method: needs assessment, setting of objectives, identification of intervention strategies, and intervention design. Needs assessment was conducted through a literature review, focus group interviews with a total of 16 middle-aged KC women, and an online survey related to health promotion of migrant workers given to 38 stakeholders. KC middle-aged women participated in the early stages of program development and provided the idea of developing programs and mobile apps to enhance physical activity and acculturation. The mobile app developed in the program was validated with the help of 12 KC women and 4 experts, including 3 nursing professors and a professor of physical education. They were asked to rate each item based on content, interface design, and technology on a 4-point scale using a 23-item Smartphone App Evaluation Tool for Health Care. RESULTS: The LLm Health program comprised a 24-week walking program using Fitbit devices, the mobile app, and social cognitive interventions. The mobile app contained 6 components: a step counter, an exercise timer, an online chat function, health information, level of cardiovascular risk, and health status. The cultural aspects and lifestyles of KC women were accommodated in the entire process of program development. The content validity of the mobile app was found to be 0.90 and 0.96 according to the 12 KC women and 4 experts, respectively. CONCLUSIONS: The mobile app was found to be valid and acceptable for KC women. The living lab approach was a useful strategy for developing a culturally adaptive LLm Health program for KC women workers, leading to their active participation in the overall research process, including needs assessment, program composition, and pre-evaluation.ope

    Technology-based self-management interventions for women with breast cancer: a systematic review

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    Purpose Since technology-based interventions can facilitate convenient access to healthcare for women with breast cancer, it is crucial to understand innovative approaches to maintaining the effectiveness of these interventions. Therefore, we conducted a systematic review of technology-based self-management interventions for women with breast cancer in six countries. We analyzed the characteristics of these interventions and examined their diverse health outcomes. Methods Six databases were systematically searched to extract research articles using the keywords “breast cancer,” “technology,” and “self-management.” The search was carried out up until June 12, 2023. From the 1,288 studies retrieved from the database search, 10 eligible papers were identified based on inclusion/exclusion criteria. Two authors independently extracted and compared the data from these articles, resolving any discrepancies through discussion. Results Most of the 10 studies utilized web- or mobile-based technology, and one used artificial intelligence-based technology. Among the 12 health-related outcome variables, quality of life and symptom distress were the most frequently mentioned, appearing in six articles. Furthermore, an analysis of the intervention programs revealed a variety of common constructs and the involvement of managers in the self-management intervention. Conclusion Incorporating key components such as self-management planning, diary keeping, and communication support in technology-based interventions could significantly improve the self-management process for breast cancer survivors. The practical application of technology has the potential to empower women diagnosed with breast cancer and improve their overall quality of life, by providing timely and sustainable interventions, and by leveraging available resources and tools

    Use of menstruation and fertility app trackers: a scoping review of the evidence

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    Introduction: There has been a phenomenal worldwide increase in the development and use of mobile health applications (mHealth apps) that monitor menstruation and fertility. Critics argue that many of the apps are inaccurate and lack evidence from either clinical trials or user experience. The aim of this scoping review is to provide an overview of the research literature on mHealth apps that track menstruation and fertility. Method: This project followed the PRISMA Extension for Scoping Reviews. The ACM, CINAHL, Google Scholar, PubMed, and Scopus databases were searched for material published between 1st January 2010 and 30th April 2019. Data summary and synthesis were used to chart and analyse the data. Results: In total 654 records were reviewed. Subsequently, 135 duplicate records and 501 records that did not meet the inclusion criteria were removed. Eighteen (n=18) records from 13 countries form this review. The papers reviewed cover a variety of disciplinary and methodological frameworks. Three main themes were identified: fertility and reproductive health tracking; pregnancy planning; and, pregnancy prevention. Discussion & conclusions: Motivations for fertility app use are varied, overlap and change over time although women want apps that are accurate and evidence-based regardless of whether they are tracking their fertility, planning a pregnancy or using the app as a form of contraception. There is a lack of critical debate and engagement in the development, evaluation, usage, and regulation of fertility and menstruation apps. The paucity of evidence-based research and absence of fertility, health professionals and users in studies is raised

    Background and Method of the Striving to be Strong Study a RCT Testing the Efficacy of a M-health Self-management Intervention

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    Background Osteoporosis is a prevalent and debilitating condition affecting \u3e50% of post-menopausal women. Yet, a low percentage of women regularly engage in health promoting behaviors associated with osteoporosis prevention. Complex, multidimensional, m-Health interventions hold promise to effect engagement in health behavior change related to calcium and vitamin D intake, balance, core and leg strength, and physical activity. Methods Striving to be Strong study (R01NR013913-01) tests the efficacy of a research and theory based, patient centered, dynamically tailored intervention delivered via smart phone apps. Ecological Momentary Assessments (EMAs) enhance immediate feedback and complement traditional measures. The desired outcomes are the maintenance of osteoporosis self-management behaviors and a decrease in the loss of bone density over time. The Individual and Family Self-management Theory provided the conceptual foundation for the study. The sample consists of 290 healthy women between the ages of 40 and 60 with an anticipated attrition of 33%. This three group repeated measures Randomized Clinical Trial spans a 12-month time period. Data collected occurs via web site, smart-phone app, self-report, observation, and measures. Proximal (engagement in osteoporosis health behaviors) and distal (serum vitamin D, DXA, and body composition) outcomes are collected for testing of the efficacy of the intervention and theory evaluation. Discussion Active and rigorous quality management processes continually evaluate enrollment and retention goals, functionality of the automated intervention delivery and data collection systems, EMAs, and dispersion of incentives

    Living labs for a mobile app-based health program: effectiveness of a 24-week walking intervention for cardiovascular disease risk reduction among female Korean-Chinese migrant workers: a randomized controlled trial

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    Background: The risk of Cardiovascular disease (CVDs) among adult populations is influenced by environmental factors, and immigrant populations tend to be more vulnerable. This study examined the effectiveness of a 24-week walking program based on social-cognitive determinants through mobile app for CVD risk reduction among female Korean-Chinese middle-aged workers. Methods: This study used a parallel randomized controlled trial. Participants were recruited by distributing posters and flyers and randomly assigned to either the standard treatment (ST, n = 22) or enhanced treatment group (ET, n = 28). Participants were provided with a mobile app linked to Fitbit Alta for 24 weeks and instructed to walk at least 30 minutes five times a week and moderate-intensity physical activity. The ET group had additional interventions that enhanced social-cognitive determinants such as self-efficacy, social support. All participants were guided to voluntary physical activity during the 12-week maintenance period. Data were analyzed by the Mann Whitney U-test and a generalized estimating equation. Results: There were significant between-group differences regarding the number of steps (B = 1.295, P < .001) and moderate physical activity time (OR = 6.396, P = .030) at week 12. ET group had significant changes in high-density lipoprotein cholesterol (B = 10.522, P = .007), low-density lipoprotein cholesterol (B = -16.178, P = .024), total cholesterol (B = -20.325, P = .039), fasting blood sugar (B = - 8.138, P = -.046). In addition, there was a significant reduction of 10-year CVD risk for the ET group over 12 weeks compared to the ST group (B = -0.521, P<. 001). Conclusions: Long-term studies are needed to reduce the risk of cardiovascular disease in large-scale migrant workers and to confirm the direct and insdirect effects of social-cognitive determinants on health outcomes. Trial registration: The trial was retrospectively registered in WHO ICTRP (KCT0006467) August 19th, 2021. ( https://trialsearch.who.int/Trial2.aspx?TrialID=KCT0006467.ope
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