Feasibility of a lifestyle intervention for overweight/obese endometrial and breast cancer survivors using an interactive mobile application

McCarroll, Michele L.; Armbruster, Shannon D.; Pohle-Krauza, Rachael J.; Lyzen, Amy M.; Min, Sarah; Nash, David; Roulette, G. Dante; Andrews, Stephen; Gruenigen, Vivian E. von

doi:10.1016/j.ygyno.2014.12.025

Cited by 161 publications

(254 citation statements)

References 42 publications

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“…Thanks to advancements in treatments, BC survivorship is on a steady rise and this cancer is no longer thought of as an acute illness but rather a chronic condition [3,4]. It is common to find mHealth solutions for BC in the scientific literature such as tracking sleep patterns [35], symptoms and treatment side effect management [35][36][37], breast health and wellbeing assessments [38,39], and even comprehensive lifestyle programs with nutrition and physical activity elements [40].…”

Section: Chronic Conditionsmentioning

confidence: 99%

3MD for Chronic Conditions, a Model for Motivational mHealth Design: Embedded Case Study (Preprint)

Giunti¹

2018

Preprint

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Chronic conditions are the leading cause of death in the world. Major improvements in acute care and diagnostics have created a tendency towards the chronification of formerly terminal conditions, requiring people with these conditions to learn how to self-manage. Mobile technologies hold promise as self-management tools due to their ubiquity and costeffectiveness.The delivery of health-related services through the use of mobile technologies (mHealth) has grown exponentially in recent years. However, only a fraction of these solutions takes into consideration the views of relevant stakeholders like healthcare professionals or even patients. The use of behavioral change models (BCM) has proven important in developing successful health solutions, yet engaging patients remains a challenge. There is a trend in mHealth solutions called gamification that attempts to use game elements to drive user behavior and increase engagement. As it stands, designers of mHealth solutions for behavioral change in chronic conditions have no clear way of deciding what factors are relevant to consider.The focus of this work is to discover factors for the design of mHealth solutions for chronic patients; to do so, negotiations between medical knowledge, BCM, and gamification were explored through an embedded case study research methodology. The data obtained was thematically analyzed to create the Model for Motivational Mobile-health Design for chronic conditions (3MD).The 3MD model guides the design of condition-oriented gamified behavioral change mHealth solutions. The main components are: 1) Condition-specific, which describe factors that need to be adjusted and adapted for each particular chronic condition; 2) Motivation-related; which are factors that address how to influence behaviors in an engaging manner; and 3) Technologybased, which are factors that are directly connected to the technical capabilities of mobile technologies. 3MD also provides a series of high level illustrative design questions for designers to use and consider during the design process.The present work addresses a recognized gap in research and practice, and proposes a unique model that could be of use in the generation of new solutions to help chronic patients.

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Section: Chronic Conditionsmentioning

confidence: 99%

3MD for Chronic Conditions, a Model for Motivational mHealth Design: Embedded Case Study (Preprint)

Giunti¹

2018

Preprint

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“…By the above definition, the search strategy identified only five papers that used some form of eHealth techniques as the primary intervention to encourage weight loss. [25][26][27][28][29] Six additional papers that used telephone counseling to deliver intervention distantly were identified. [30][31][32][33][34][35] All telephonebased intervention papers are described in Table 1.…”

Section: Literature Availablementioning

confidence: 99%

“…Of these five papers, two were pilot and feasibility studies (25,27; n = 60 between them), one was a single-arm prepost design (26, n = 30) and two were randomized controlled trials (RCTs; 28, 29; n = 121 between them). Therefore, over five studies, only 211 survivors have participated.…”

Section: Ehealth/mhealthmentioning

confidence: 99%

eHealth and behavioral weight loss interventions for female cancer survivors: A review

Harvey

Dittus

Mench

2017

Womens Health (Lond Engl)

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Cancer survivors are at increased risk of chronic disease and diminished quality of life. The presence of overweight and obesity can exacerbate these health risks. Fortunately, even small weight losses have been found to produce clinically meaningful health outcomes. However, effective obesity treatment is difficult to access, and recently, efforts have been made to disseminate interventions using eHealth or distantly delivered technology. This review aims to focus on the efficacy and limitations of these technologies for female cancer survivors. Suggestions are also provided to encourage further meaningful work in this area.

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“…Bleeding usually lasts around 2 to 7 days (McCarroll et al, 2015;Nelson, 2009). The typical length of time between the first day of one period and the first day of the next is 21 to 45 days in young women and 21 to 35 days in adults (an average of 28 days) (Diaz et al, 2006;Nelson, 2009).…”

Section: Menstrual Cycle Relates To Diverse Profession and Age Clustermentioning

confidence: 99%

“…Premenstrual syndrome is recurrent moderate psychological and physical symptoms that occur during the luteal phase of menses and resolve with menstruation. Menstruation period is totally controlled by hormones (McCarroll et al, 2015). Up to 80% of women report having some symptoms during the one to two weeks prior to menstruation (Biggs and Demuth, 2011).…”

Section: Menstrual Cycle Relates To Diverse Profession and Age Clustermentioning

confidence: 99%

Discrepancy in Menstrual Cycle Relates to Diverse Profession and Age Cluster of District Mardan Khyber PakhtoonKhwa, Pakistan

et al. 2016

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Abstract-Menstruation cycle is the discharge of blood from the inner uterine lining of female reproductive tract. About 500 females from 6 different professions from district Mardan were included in this study. These 500 working females were divided into different age groups starting from 13 to 50 years to examine the length of menstrual cycle in relation to different professions and age. Number of Menstruating days of each female was recorded. Observation was recorded from the 1 st day of menstruating till the end of menstruation period. An unlimited relation of profession and menstruation period was observed in this study, a decreased or prolonged menstrual period was observed in those women who were having more physical or mental activities as compare to sedentary ones. The same case is also found in start of teenage and in aged women. In different professional females about 29.2% respondents were reported with 3-4 days of menstrual period, 40.4% respondents were observed with 5-6 days of menstrual period, 23.2% respondents were reported with 7-8 days of menstrual period while only 7.2% respondents were observed with the longest menstrual period i.e. 9-10 days. About 15.49% Teachers and 15.39% Maids had the longest menstruation periods i.e. 9-20 days. A fairly normal menstruation (5-6 days) period of 69.31% respondents was observed in household females while in students about 48.63% respondents had least days of menstruation period i.e. 3-4 days. In different age groups about 32.8% female population had 3-4 days' menstruation period which is measured to be short period, a total of 44.4% female population had 5-6 days' menstruation period, 15.6% female population had 7-8 days' menstruation period while only 7.2% female population of this study had the longest (9-10 days) menstruation period. About 11.11% aged female population had the longest menstruation periods i.e. 9-20 days. A comparatively normal menstruation (5-6 days) period of 59.09% respondents was observed in age group 26-30. About 37.41% respondents of age group 21-25 and 37.70% respondents of age group 31-35 had least days of menstruation period i.e. 3-4 days. This reveals that the mental activity as well as the age has also an effect on menstruation period. This study reveals that the menstrual period is also reliant upon the nature of the job/profession of a female. Period may be shortened as 3 days or prolonged as 10 days depend upon the nature of physical and mental activity.

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Feasibility of a lifestyle intervention for overweight/obese endometrial and breast cancer survivors using an interactive mobile application

Cited by 161 publications

References 42 publications

3MD for Chronic Conditions, a Model for Motivational mHealth Design: Embedded Case Study (Preprint)

3MD for Chronic Conditions, a Model for Motivational mHealth Design: Embedded Case Study (Preprint)

eHealth and behavioral weight loss interventions for female cancer survivors: A review

Discrepancy in Menstrual Cycle Relates to Diverse Profession and Age Cluster of District Mardan Khyber PakhtoonKhwa, Pakistan

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