Stress Management Apps With Regard to Emotion-Focused Coping and Behavior Change Techniques: A Content Analysis

Christmann, Corinna A.; Hoffmann, Alexandra; Bleser, Gabriele

doi:10.2196/mhealth.6471

Cited by 61 publications

(47 citation statements)

References 68 publications

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“…Results from the current study showing that emotional coping had no in uence on depressive symptoms were consistent with those from a mindfulness-based intervention to reduce overeating in low-to middleincome overweight pregnant women [46]. The similar ndings suggest that emotion-focused coping strategies may be insu cient for reducing depressive symptoms in overweight and obese women who have a low-income.…”

Section: Discussionsupporting

confidence: 78%

Psychological factors affecting the association between a lifestyle behavior intervention and depressive symptoms in low-income overweight and obese mothers with young children: a secondary data analysis

Robbins

Chang

Ling

et al. 2020

Preprint

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Background Psychological factors mediating the effect of lifestyle behavior interventions on mothers’ depressive symptoms are unclear. Using data from a community-based lifestyle behavior intervention, this secondary analysis examined whether autonomous motivation, coping self-efficacy, and emotional coping mediated the association between the intervention and depressive symptoms in low-income overweight and obese mothers with young children.Methods This 16-week intervention had 2 components: Mothers watched 10 video lessons in Digital Video Disc (DVD) format at home and joined 10 peer support group teleconferences (every week in weeks 1–4; then every other week in weeks 5–16). All participants completed reliable and valid measures of autonomous motivation, coping self-efficacy, emotional coping and depressive symptoms via phone at baseline and immediately after the intervention. To assess effect size, proportion of maximum possible (POMP) scores were calculated. To test mediation effects, composite indicator structural equation modeling was performed.Results The intervention significantly alleviated depressive symptoms (p = 0.015, POMP = -4.31%). While the intervention had no influence on autonomous motivation, it significantly increased coping self-efficacy (p < 0.001, POMP = 7.4%) and emotional coping (p = 0.003, POMP = 3.81%). Coping self-efficacy significantly and negatively mediated the association between the intervention and depressive symptoms (p = 0.002, POMP = -2.53%). However, autonomous motivation and emotional coping were not significant mediators.Conclusions To help this target population alleviate depressive symptoms, clinicians may consider teaching these women practical strategies that can be applied to daily life to boost coping self-efficacy.

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Section: Discussionsupporting

confidence: 78%

Psychological factors affecting the association between a lifestyle behavior intervention and depressive symptoms in low-income overweight and obese mothers with young children: a secondary data analysis

Robbins

Chang

Ling

et al. 2020

Preprint

View full text Add to dashboard Cite

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“…Clinicians’ perceptions tend to be favorable toward implementing apps for PTSD treatment, such as PE Coach [ 43 ]. Similar apps that address mental or chronic conditions include those for helping users manage stress [ 63 ] and for aiding arthritis patients in medication and exercise compliance [ 64 ].…”

Section: Resultsmentioning

confidence: 99%

Posttraumatic Stress Disorder and Mobile Health: App Investigation and Scoping Literature Review

Rodriguez-Paras¹,

Tippey²,

Brown³

et al. 2017

JMIR Mhealth Uhealth

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BackgroundPosttraumatic stress disorder (PTSD) is a prevalent mental health issue among veterans. Access to PTSD treatment is influenced by geographic (ie, travel distance to facilities), temporal (ie, time delay between services), financial (ie, eligibility and cost of services), and cultural (ie, social stigma) barriers.ObjectiveThe emergence of mobile health (mHealth) apps has the potential to bridge many of these access gaps by providing remote resources and monitoring that can offer discrete assistance to trauma survivors with PTSD and enhance patient-clinician relationships. In this study, we investigate the current mHealth capabilities relevant to PTSD.MethodsThis study consists of two parts: (1) a review of publicly available PTSD apps designed to determine the availability of PTSD apps, which includes more detailed information about three dominant apps and (2) a scoping literature review performed using a systematic method to determine app usage and efforts toward validation of such mHealth apps. App usage relates to how the end users (eg, clinicians and patients) are interacting with the app, whereas validation is testing performed to ensure the app’s purpose and specifications are met.ResultsThe results suggest that though numerous apps have been developed to aid in the diagnosis and treatment of PTSD symptoms, few apps were designed to be integrated with clinical PTSD treatment, and minimal efforts have been made toward enhancing the usability and validation of PTSD apps.ConclusionsThese findings expose the need for studies relating to the human factors evaluation of such tools, with the ultimate goal of increasing access to treatment and widening the app adoption rate for patients with PTSD.

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“…mHealth apps are being developed and evaluated to support behavior change of the general population in a variety of domains, such as physical activity [ 44 - 48 ], obesity [ 49 ], and stress management [ 50 - 52 ]. Even with the recent proliferation of apps, research evidence regarding their effectiveness is scarce [ 53 ].…”

Section: Introductionmentioning

confidence: 99%

Behavior Change Techniques in mHealth Apps for the Mental and Physical Health of Employees: Systematic Assessment

Korte¹,

Wiezer²,

Roozeboom³

et al. 2018

JMIR Mhealth Uhealth

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BackgroundEmployees remain at risk of developing physical and mental health problems. To improve the lifestyle, health, and productivity many workplace interventions have been developed. However, not all of these interventions are effective. Mobile and wireless technology to support health behavior change (mobile health [mHealth] apps) is a promising, but relatively new domain for the occupational setting. Research on mHealth apps for the mental and physical health of employees is scarce. Interventions are more likely to be useful if they are rooted in health behavior change theory. Evaluating the presence of specific combinations of behavior change techniques (BCTs) in mHealth apps might be used as an indicator of potential quality and effectiveness.ObjectiveThe aim of this study was to assess whether mHealth apps for the mental and physical health of employees incorporate BCTs and, if so, which BCTs can be identified and which combinations of BCTs are present.MethodsAn assessment was made of apps aiming to reduce the risk of physical and psychosocial work demands and to promote a healthy lifestyle for employees. A systematic search was performed in iTunes and Google Play. Forty-five apps were screened and downloaded. BCTs were identified using a taxonomy applied in similar reviews. The mean and ranges were calculated.ResultsOn average, the apps included 7 of the 26 BCTs (range 2-18). Techniques such as “provide feedback on performance,” “provide information about behavior-health link,” and “provide instruction” were used most frequently. Techniques that were used least were “relapse prevention,” “prompt self-talk,” “use follow-up prompts,” and “provide information about others’ approval.” “Stress management,” “prompt identification as a role model,” and “agree on behavioral contract” were not used by any of the apps. The combination “provide information about behavior-health link” with “prompt intention formation” was found in 7/45 (16%) apps. The combination “provide information about behavior-health link” with “provide information on consequences,” and “use follow-up prompts” was found in 2 (4%) apps. These combinations indicated potential effectiveness. The least potentially effective combination “provide feedback on performance” without “provide instruction” was found in 13 (29%) apps.ConclusionsApps for the occupational setting might be substantially improved to increase potential since results showed a limited presence of BCTs in general, limited use of potentially successful combinations of BCTs in apps, and use of potentially unsuccessful combinations of BCTs. Increasing knowledge on the effectiveness of BCTs in apps might be used to develop guidelines for app developers and selection criteria for companies and individuals. Also, this might contribute to decreasing the burden of work-related diseases. To achieve this, app developers, health behavior change professionals, experts on physical and mental health, and end-users should collaborate when developing apps for the working context.

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Stress Management Apps With Regard to Emotion-Focused Coping and Behavior Change Techniques: A Content Analysis

Cited by 61 publications

References 68 publications

Psychological factors affecting the association between a lifestyle behavior intervention and depressive symptoms in low-income overweight and obese mothers with young children: a secondary data analysis

Psychological factors affecting the association between a lifestyle behavior intervention and depressive symptoms in low-income overweight and obese mothers with young children: a secondary data analysis

Posttraumatic Stress Disorder and Mobile Health: App Investigation and Scoping Literature Review

Behavior Change Techniques in mHealth Apps for the Mental and Physical Health of Employees: Systematic Assessment

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