scholarly journals Coping Strategies and Social Support in a Mobile Phone Chat App Designed to Support Smoking Cessation: Qualitative Analysis (Preprint)

2018 ◽  
Author(s):  
Esther Granado-Font ◽  
Carme Ferré-Grau ◽  
Cristina Rey-Reñones ◽  
Mariona Pons-Vigués ◽  
Enriqueta Pujol Ribera ◽  
...  
Keyword(s):  
Social Support ◽  
Smoking Cessation ◽  
Coping Strategies ◽  
Mobile App ◽  
Text Messages ◽  
Basic Emotions ◽  
Online Social Support ◽  
The Social ◽  
Quitting Smoking ◽  
Free Environment

BACKGROUND Smoking is one of the most significant factors contributing to low life expectancy, health inequalities, and illness at the worldwide scale. Smoking cessation attempts benefit from social support. Mobile phones have changed the way we communicate through the use of freely available message-oriented apps. Mobile app–based interventions for smoking cessation programs can provide interactive, supportive, and individually tailored interventions. OBJECTIVE This study aimed to identify emotions, coping strategies, beliefs, values, and cognitive evaluations of smokers who are in the process of quitting, and to analyze online social support provided through the analysis of messages posted to a chat function integrated into a mobile app. METHODS In this descriptive qualitative study, informants were smokers who participated in the chat of Tobbstop. The technique to generate information was documentary through messages collected from September 2014 through June 2016, specifically designed to support a smoking cessation intervention. A thematic content analysis of the messages applied 2 conceptual models: the Lazarus and Folkman model to assess participant’s experiences and perceptions and the Cutrona model to evaluate online social support. RESULTS During the study period, 11,788 text messages were posted to the chat by 101 users. The most frequent messages offered information and emotional support, and all the basic emotions were reported in the chat. The 3 most frequent coping strategies identified were physical activity, different types of treatment such as nicotine replacement, and humor. Beliefs about quitting smoking included the inevitability of weight gain and the notion that not using any type of medications is better for smoking cessation. Health and family were the values more frequently described, followed by freedom. A smoke-free environment was perceived as important to successful smoking cessation. The social support group that was developed with the app offered mainly emotional and informational support. CONCLUSIONS Our analysis suggests that a chat integrated into a mobile app focused on supporting smoking cessation provides a useful tool for smokers who are in the process of quitting, by offering social support and a space to share concerns, information, or strategies.

scholarly journals Effects of the social support-based smoking cessation program (Bacho model) for the successful quitting smoking at Bacho district, Narathiwat province

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Hartine Lehsi ◽  
Sunee Chekabaso ◽  
Muhammadzainuden Mingsu ◽  
Nureehan Maseng ◽  
Thammasin Ingviya
Keyword(s):  
Social Support ◽  
Smoking Cessation ◽  
Smoking Cessation Program ◽  
The Social ◽  
Quitting Smoking

scholarly journals Theory-Based Social and Non-Social Engagement Features in Smoking Cessation Mobile Apps: A Content Analysis

2021 ◽  
Vol 18 (17) ◽  
pp. 9106
Author(s):  
Qinghua Yang
Keyword(s):  
Social Support ◽  
Smoking Cessation ◽  
Content Analysis ◽  
Social Engagement ◽  
Rating Scale ◽  
Mobile Apps ◽  
Mobile App ◽  
Social Referencing ◽  
User Engagement ◽  
The Social

Despite the ubiquity of smartphone ownership and the increasing integration of social engagement features in smoking cessation apps to engage users, the social and non-social engagement features that are present in current smoking cessation apps and the effectiveness of these features in engaging users remain understudied. To fill the gap in the literature, a content analysis of free and paid smoking cessation mobile apps was conducted to examine (a) the presence of social features (i.e., social support, social announcement, and social referencing) and non-social engagement features (e.g., personal environmental changes, goal setting, progress tracking, reinforcement tracking, self-monitoring, and personalized recommendations) and (b) their relationships with user engagement scores measured by the Mobile App Rating Scale. In this study, 28.2% of the smoking cessation apps enable social announcement and 8.1% offered the social support feature. Only two apps provided a social referencing feature (1.3%). No app included reinforcement tracking, with the percentage of other non-social engagement features ranging from 9.4% to 49.0%. Social support (β = 0.30, p < 0.001), social announcement (β = 0.21, p < 0.05), and social referencing (β = 0.18, p < 0.05) were significant predictors of user engagement. Regarding the non-social engagement features, personal environment changes (β = 0.38, p < 0.001), progress tracking (β = 0.18, p < 0.05), and personalized recommendations (β = 0.37, p < 0.001) significantly predicted user engagement. The findings not only contribute to the mobile communication literature by applying and extending the theory-based mobile health apps engagement typology, but also inform the future architecture design of smoking cessation mobile apps.

scholarly journals A Smartphone App to Leverage Positive Psychology to Support Smoking Cessation in Nondaily Smokers: Results of SiS Study 1 (Preprint)

2018 ◽  
Author(s):  
Bettina Hoeppner ◽  
Susanne Hoeppner ◽  
John Kelly
Keyword(s):  
Social Support ◽  
Smoking Cessation ◽  
Positive Psychology ◽  
Treatment Modalities ◽  
Smartphone App ◽  
Support Tool ◽  
Behavioral Counseling ◽  
Quit Attempt ◽  
The Social ◽  
Nondaily Smoking

BACKGROUND The population of nondaily smokers is large (ie, 24.3% of adult smokers) and increasing (ie, 27% increase over the past decade). The cancer risk of nondaily smoking is substantial (40%-50% of that seen in daily smokers). Existing treatments are ill-suited for nondaily smoking, because the treatments are based on nicotine dependence, and traditional treatments and treatment modalities (eg, in-person counseling, medication) do not appeal to non-dependent nondaily smokers. OBJECTIVE We sought to develop a smartphone app that acts as a behavioral, in-the-pocket coach and uses positive psychology exercises to enhance quitting success. METHODS Nondaily smokers (n=30) used Version 1 of the “Smiling Instead of Smoking” (SiS) app while undergoing a quit attempt (1 week pre-, 2 weeks post-quit). The app assigned daily positive psychology exercises, provided smoking cessation tools (ie, scheduling quit day, logging personal reasons for quitting, planning for challenging times, enlisting social support), and made information about smoking cessation available (ie, benefits of quitting, strategies for cravings). Participants answered surveys at baseline and 2, 6, and 12 weeks post-quit and participated in structured user feedback sessions 2 weeks after their chosen quit day. RESULTS During the 3 weeks of ‘prescribed’ use, 50% of participants completed every daily positive psychology exercise, and the remaining 50% completed on average 85% of the daily exercises. Use of the user-initiated tools was limited: 20% did not use the “Challenging Times” tool at all; those who did only used it twice (median); 27% used the “Social Support” tool on multiple days. Self-reported smoking abstinence rates were 43.3% (7-day abstinence) 2 weeks post-quit, and 40.0% and 43.3% (30-day abstinence) at 6 and 12 weeks post-quit, respectively. Most participants (90%) felt the app helped them during their quit attempt, especially in terms of staying on track, giving them confidence, and reinforcing the idea that quitting was worthwhile. Usefulness ratings were particularly high for functionality that allowed participants to (re-)schedule their quit day and log their personal reasons for quitting smoking. In line with putative mechanisms underlying smoking cessation, compared to baseline, participants reported a lower urge to smoke (F(1,29)=20.55, P<.001), increased self-efficacy to abstain from smoking, both in response to internal (F[,29]=12.69, P<.01) and external stimuli (F[1,29]=18.95, P<.001), decreased endorsement of the psychoactive benefits (F[1,29]=16.24, P<.001) and pleasure (F[1,29]=5.44, P=.03) of smoking, and lower perceived importance of the pros of smoking (F[1,29]=18.26, P<.001). Qualitative feedback indicated a desire for more variety in the positive psychology exercises, more recommended strategies for dealing with cravings, less wordy but more frequent behavioral counseling check-ins, a reward systems, and the removal of the “social support” tool. CONCLUSIONS A positive psychology approach to support smoking cessation resonated well with nondaily smokers. App usage of these exercises was high over a 3-week period, suggesting that this treatment approach is sustainable during the critical phase of smoking cessation. Abstinence rates were substantially higher than natural quit rates in this population, and thus offer some promise, which will need to be evaluated in a randomized trial.

scholarly journals Depression, Social Support, and Coping Strategies in Individuals with Spinal Injury Depression with Spinal Injury Patients

2021 ◽  
Vol 73 (8) ◽  
pp. 518-525
Author(s):  
Nopchanok Sukprasert ◽  
Cholavech Chavasiri ◽  
Srinual Chavasiri
Keyword(s):  
Social Support ◽  
Spinal Cord ◽  
Coping Strategies ◽  
Spinal Injury ◽  
Depression Scale ◽  
Negatively Associated ◽  
The Social ◽  
Cord Injury ◽  
Prevalence Of Depression

Objective: To investigate the prevalence of and factors associated with depression, the social support received by, and the coping strategies used by spinal cord injury (SCI) patients.Materials and Methods:  SCI patients who received follow-up evaluation at the Siriraj Hospital during 2016 to 2018. The instruments used included a general information, the Zung Self-Rating Depression Scale(Thai version), the Social Provisions Scale, and the Spinal Cord Lesion-Related Coping Strategies Questionnaire (Thai version).Results: Eighty-six SCI patients (age: 43.1±15.7 years, 66.3% male) were included, and 59.3%  had some level of permanent impairment. The prevalence of depression was 55.8%. Depression was found to be negatively associated with all social support domains. Regarding coping, depression was shown to be negatively associated with the acceptance strategy, but positively associated with the social reliance strategy. Multivariate analysis by multiple logistic regression showed  level of impairment (p=0.005), guidance provision (p=0.040), fighting spirit strategy (p=0.031), and the social reliance strategy (p=0.032) to be independently associated with depression.Conclusion: The prevalence of depression among SCI was 55.8%. The results revealed the types of social support received, and the coping strategies used by SCI patients after hospital discharge. These findings will improve follow-up care and patient quality of life.

scholarly journals Predictors of Smoking Cessation in a Lifestyle-Focused Text-Message Support Programme Delivered to People with Coronary Heart Disease: An Analysis From the Tobacco Exercise and Diet Messages (TEXTME) Randomised Clinical Trial

2020 ◽  
Vol 13 ◽  
pp. 1179173X2090148
Author(s):  
Harry Klimis ◽  
Simone Marschner ◽  
Amy Von Huben ◽  
Aravinda Thiagalingam ◽  
Clara K Chow
Keyword(s):  
Smoking Cessation ◽  
Text Messaging ◽  
A Priori ◽  
Univariate Analysis ◽  
Intervention Group ◽  
Text Message ◽  
Prevention Programs ◽  
Text Messages ◽  
Baseline Risk ◽  
Quitting Smoking

Background: Studies have demonstrated the effectiveness of text message-based prevention programs on smoking cessation, including our recently published TEXTME randomised controlled trial. However, little is known about the predictors of smoking cessation in this context and if other clinically important factors interact with the program to lead to quitting. Hence, the objective of this study was to first assess the predictors of smoking cessation in TEXTME and then determine if the effect of texting on quitting was modified by interactions with important clinical variables. This will allow us to better understand how text messaging works and thus help optimise future text-message based prevention programs. Methods This sub-analysis used data collected as part of the TEXTME trial which recruited 710 participants (377 current smokers at baseline) between September 2011 and November 2013 from a large tertiary hospital in Sydney, Australia. Smokers at baseline were analysed at 6 months and grouped into those who quit and those who did not. Univariate analyses were performed to determine associations between the main outcome and clinically important baseline factors selected a priori. A multiple binominal logistic regression analysis was conducted to develop a predictive model for the dependent variable smoking cessation. A test of interaction between the intervention group and baseline variables selected a priori with the outcome smoking cessation was performed. Results Univariate analysis identified receiving text-messages, age, and mean number of cigarettes smoked each day as being associated with quitting smoking. After adjusting for age, receiving the text-messaging program (OR 2.34; 95%CI 1.43-3.86; p<0.01) and mean number of cigarettes smoked per day (OR 1.02; 95%CI 1.00-1.04; p=0.03) were independent predictors for smoking cessation. LDL-C showed a significant interaction effect with the intervention (High LDL*Intervention OR 3.77 (95%CI 2.05-6.94); Low LDL*Intervention OR 1.42 (95%CI 0.77-2.60); P=0.03). Conclusions Smoking quantity at baseline is independently associated with smoking cessation and higher LDL-C may interact with the intervention to result in quitting smoking. Those who have a higher baseline risk maybe more motivated towards beneficial lifestyle change including quitting smoking, and thus more likely to respond to mHealth smoking cessation programs. The effect of text-messages on smoking cessation was independent of age, gender, psychosocial parameters, education, and baseline control of risk factors in a secondary prevention cohort.

A Process Evaluation of E-Mail Counselling for Smoking Cessation in College Students: Feasibility, Acceptability and Cost

2009 ◽  
Vol 4 (1) ◽  
pp. 26-33 ◽  
Author(s):  
Lorien C. Abroms ◽  
Jennifer Gill ◽  
Richard Windsor ◽  
Bruce Simons-Morton
Keyword(s):  
Social Support ◽  
College Students ◽  
Smoking Cessation ◽  
Process Evaluation ◽  
Cessation Intervention ◽  
The Social ◽  
College Population ◽  
Intensive Program ◽  
To Receive ◽  
E Mail

AbstractBackground: Few smoking cessation interventions have made extensive use of e-mail. Objective: This study set out to document how the e-mail component of an e-mail-based smoking cessation program was received by college smokers. Methods: Participants were randomised after enrolment to receive either a moderately intensive, e-mail-based intervention — the X-Pack Group — or a less intensive program based on a widely available smoking cessation guidebook. Participants were assessed at baseline and 3 months post-enrolment. This analysis is limited to those in the X-Pack Group (n = 48). Results: Twelve e-mails on average were sent out to each participant over the course of 6 months. Ninety-one per cent of participants reported reading all or most of the e-mails and 73% replied to at least one of the e-mails they received. On average, participants were positive about the e-mails received and most reported that they had liked the e-mails because of the social support and encouragement provided. The average time for counsellors to write and send each e-mail from the templates was 12 minutes, with a range from 2 to 60 minutes. Conclusions: These findings offer evidence of feasibility of an e-mail-based smoking cessation intervention in a college population.

scholarly journals Coping and Social Support for Parents of Children with Autism

2005 ◽  
Vol 21 (1) ◽  
pp. 40-47 ◽  
Author(s):  
Edith H. Luther ◽  
Daryl L. Canham ◽  
Virginia Young Cureton
Keyword(s):  
Social Support ◽  
Coping Strategies ◽  
Support Groups ◽  
Children With Autism ◽  
Descriptive Study ◽  
Family Crisis ◽  
The Past ◽  
The Social ◽  
The Family ◽  
Local Support

Autism in children has increased significantly in the past 15 years. The challenges and stressors associated with providing services and caring for a child with autism affect families, educators, and health professionals. This descriptive study used a survey to collect data on parents’ perceptions of coping strategies and social support. Instruments included the Social Support Index and the Family Crisis Oriented Personal Evaluation Scales. One half of the families identified serious stressors in addition to autism. Acquiring social support and reframing were the most frequently used coping strategies. The school nurse is in a position to identify needs and refer families to local support groups and agencies, facilitating social support and development of coping strategies.

scholarly journals Proses Perubahan Perilaku Berhenti Merokok: Studi Kualitatif Mengenai Motif, Dukungan Sosial dan Mekanisme Coping

2021 ◽  
Vol 3 (1) ◽  
pp. 58
Author(s):  
La Ode Reskiaddin ◽  
Supriyati Supriyati
Keyword(s):  
Social Support ◽  
Smoking Cessation ◽  
Smoking Behavior ◽  
Sampling Technique ◽  
Significant Others ◽  
Snowball Sampling ◽  
Purposive Sampling ◽  
Quitting Smoking ◽  
Food Expenditure ◽  
And Coping

Latar Belakang. Tingginya jumlah perokok sebenarnya juga diiringi dengan tingginya keinginan untuk berhenti merokok, namun tidak semua berhasil berhenti merokok.Tujuan. untuk menggali peran motivasi, dukungan sosial, mekanisme coping dalam upaya berhenti merokok.Metode. Penelitian kualitatif dengan rancangan penelitian fenomonologi. Teknik snowball sampling dan rekrutmen via whatsapp digunakan untuk mendapatkan informan, dan dipilih menggunakan purposive sampling. Data dikumpulkan melalui wawancara mendalam kapada 18 orang yang terdiri dari 5 orang (1 perempuan 4 laki-laki) yang sudah berhenti merokok 6 bulan sampai 2 tahun, 4 orang yang sedang berhenti merokok (<6 bulan) dan 9 orang sebagai significant others. Keabsahan data melalui triangulasi, member checking dan peer debrieving.   Hasil. Faktor sosial merupakan penyebab yang mendominasi untuk merokok. Motif kesehatan adalah motif utama untuk berhenti merokok. Dukungan untuk berhenti merokok diantaranya dukungan secara emosional dan instrumental.Kesimpulan. Perokok berhenti merokok karena motif kesehatan seperti ingin lebih sehat.  Motif non kesehatan diantaranya haram dan pengeluaran membeli rokok lebih banyak dari kebutuhan untuk makan. Coping kognitif seperti mensugesti diri melalui perubahan mindset sebagai salah satu strategi yang dapat dilakukan untuk mengendalikan perilaku merokok. Dukungan sosial hanya sebagai penguat atau moderator. Coping merupakan pengendali utama dalam berhenti merokok. Dukungan sosial sebagai moderator dalam proses berhenti merokok. ABSTRACTIntroduction. A high number of smokers aligned with smoking cessation eagerness, but not all succeed.Objective. to explore the motive, social support and coping mechanism for smoking cessationMethods. Qualitative research with phenomenology research design. We did the snowball sampling technique and participants’ recruitment via WhatsApp and Purposive sampling. 18 in-depth interviews consisted of 5 participants (1 woman and 4 men) who quit smoking within the past 6 months to 2 years, 4 participants who are quitting smoking (<6 months) and 9 people as significant others. Data validation was through triangulation, member checking and peer debriefing.Results. Social factors are the dominant cause of smoking. Health motives are the main motives for quitting smoking. Support for quitting smoking includes emotional and instrumental support Conclusion. Smokers’ motivations to quit due to health reasons such as a better level of health. Non-health reasons are religious prohibition (haram) and cigarette expenses higher than primary (food) expenditure. Research also found cognitive coping such as personal suggestion through mindset change, is one of the strategies to control smoking behavior. Social support as a booster or moderator. Coping is the primary controller in smoking cessation. It’s strengthened by personal willingness. Social support acted a moderator.  

Do I Deserve to Spend? Online Social Support and Spending Pleasure

2020 ◽  
pp. 193896552097357
Author(s):  
Kawon Kim ◽  
Melissa A. Baker
Keyword(s):  
Social Support ◽  
Social Networks ◽  
Social Network ◽  
Boundary Conditions ◽  
Online Social Networks ◽  
Service Industry ◽  
Online Social Network ◽  
Online Social Support ◽  
The Social ◽  
Influence Perceptions

Despite evidence of people posting their consumption experiences to online social networks to fulfill the needs of social support, an understanding of how online social support affects post-consumption spending behaviors remains elusive. This research aims to examine how online social support from online social network friends and the firm influence perceptions of self-deservingness and spending pleasure. Across two studies, this research provides evidence that social support gained through online social networks influences consumers’ spending pleasure through perceptions of their own deservingness. Notably, this study reveals that people obtain social support in online social networks from two sources: social networks friends and firms through receiving “Likes” and “Comments” on their post. This study also explores boundary conditions for when online social support is more effective on spending pleasure. The findings not only broaden the social support literature but also address the benefit to the service industry by understanding how social support can enhance spending pleasure.

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