Predictors Of Behavior Research Articles

Attitudes toward Sexting, Peer Pressure and Sexting among Adolescents

Objective – This study examines the correlation between demographic characteristics (age and gender), attitudes toward sexting, and peer pressure and sexting behavior among adolescents.Materials and Methods – The current study was conducted among 359 adolescents ages 15-17 in Bosnia and Herzegovina, with data collected again one year after baseline. Participants completed questionnaires on demographic data, sexting behavior, attitudes toward sexting, and peer pressure.Results – Descriptive analyses showed that although adolescents have negative attitudes toward sexting, they do participate in sexting, reporting more receiving (62.95 % –64.06 %) than sending (30.91 % – 32.31 %) and posting (8.91 % – 8.63 %) sexts. Regression analysis revealed that age, gender, attitudes toward sexting and the influence of peer pressure in the fields of risky behavior and parental relationships are significant predictors of various types of sexting. Attitudes toward sexting and peer pressure to engage in risky behavior were also a predictor of sexting behavior one year later. Conclusion – The findings highlight the importance of addressing attitudes toward sexting and peer pressure in future preventive interventions related to sexting.

Abstract 4117868: The Mediation Effect of Self-care Self-efficacy between Illness Perceptions and Self-care Behaviors among People with Heart Failure

Introduction: Heart failure (HF) self-care behaviors are related to patient outcomes. The Common-sense Model of Self-Regulation indicates that illness perceptions and self-care self-efficacy are crucial predictors of self-care behaviors. However, research evidence is limited on these relationships. Aims: To explore the associations among illness perceptions, self-care self-efficacy, and self-care behaviors in people with HF. Methods: A cross-sectional study design was adopted. People with HF were recruited from a tertiary hospital between February and April 2023 in China. All the participants were assessed for illness perceptions, self-care self-efficacy, and self-care behaviors. Data were analyzed using Pearson correlation and mediation analyses. The study was reported following the STROBE checklist. Results: A total of 164 people with HF were enrolled. Pearson analysis reported the negative correlations between the scores of illness perceptions and the scores of self-care maintenance (r=-0.344, p<0.001), symptom perception (r=-0.352, p<0.001), and self-care management (r=-0.519, p<0.001), as well as the positive associations between the scores of self-care self-efficacy and the scores of self-care maintenance (r=0.689, p<0.001), symptom perception (r=0.697, p<0.001), and self-care management (r=0.771, p<0.001). Moreover, a significant negative relationship between the scores of illness perceptions and the scores of self-care self-efficacy was observed (r=-0.527, p<0.001). Mediation analysis reported that the scores of self-care self-efficacy completely mediated the negative relationships between the scores of illness perceptions and the scores of self-care maintenance, symptom perception, and self-care management, and the mediation effect accounted for 71.4%, 72.5%, and 88.2% of the total effect, respectively. Conclusions: Among people with HF, self-care self-efficacy completely mediated the relationships between illness perceptions and self-care behaviors. Interventions targeting improving illness perceptions and self-care self-efficacy may enhance HF self-care behaviors.

TMIC-02. SINGLE-CELL HIGH-DIMENSIONAL MASS CYTOMETRY (CYTOF) REVEALS IMMUNE LANDSCAPE OF PITUITARY NEUROENDOCRINE TUMORS

Abstract Pituitary neuroendocrine tumors (pitNETs) are a group of neoplasms in the sellar region, ranking as the second most common primary brain tumors, with some exhibiting aggressive behaviors. While immunohistochemical staining has been utilized to characterize the tumor immune microenvironment (TIME) of pitNETs, single-cell analysis remains underexplored. High-dimensional mass cytometry (CyTOF) offers a valuable approach for precise quantification of intratumoral leukocytes and potential therapeutic insights. We prospectively enrolled 56 patients with pitNETs of varying endocrine function, histology, and lineage. CyTOF, employing heavy metal-tagged antibodies, was employed to simultaneously measure 37 cellular parameters at single-cell resolution. Analysis revealed a total of 71,049 CD45+ immune cells. Macrophages (mean, 50.7%) and T cells (mean, 28.7%) were the predominant leukocytes, followed by NK cells, dendritic cells, B cells, and neutrophils. The immune cell composition within the TIME exhibited heterogeneity, with distinct patterns observed between functioning and non-functioning pitNETs. Functioning pitNETs displayed fewer macrophages (28.9% vs. 62.9%) and more T cells (44.9% vs. 19.6%) compared to non-functioning pitNETs. Subgroups within functioning (somatotroph, mammosomatotroph, lactotroph) and those within non-functioning pitNETs (null-cell, gonadotroph, corticotroph) shared similar immune profiles, respectively. PIT-1 lineage pitNETs demonstrated a T cell-dominated pattern, while SF-1, T-PIT, and null-cell lineage pitNETs exhibited macrophage predominance. In functioning pitNETs, macrophage abundance negatively correlated with invasiveness, Ki-67 index, and recurrence, while CD4 T cells showed positive correlations. Further unsupervised clustering identified 27 subpopulations of intratumoral immune cells, with some serving as critical predictors of tumor behavior. Our study provides a comprehensive single-cell immune profile of pitNETs, revealing distinct features across subtypes and targeted therapeutic implications.

Predictors of anxiety among women of reproductive age in Nepal: a comprehensive nationwide analysis.

Anxiety poses a significant challenge for women of reproductive age globally, often leading to other mental health issues. However, research on anxiety prevalence among this demographic, particularly in Nepal, remains scarce. This study aims to fill this gap by identifying demographic, biological, and behavioral predictors of anxiety among reproductive-aged women in Nepal. Using data from the nationally representative Nepal Demographic and Health Survey 2022, this study employed the Generalized Anxiety Disorder (GAD-7) scale to assess anxiety prevalence. Descriptive and inferential statistics, including one-way ANOVA and stepwise multiple regression, were utilized for identifying the potential predictors of anxiety. This study found that 22.2% of reproductive-aged women in Nepal experience moderate to severe anxiety. The stepwise multiple regression revealed seven most influential factors, with depression (mild, moderate, severe) being the most influential predictor of anxiety, explaining 51.8% of the variance (R square change = 0.518; Sig. =<0.001). Self-reported health status (R square change = 0.010; Sig.=<0.001), experienced emotional violence (R square change = 0.007; Sig.=<0.001), and pregnancy termination (R square change = 0.002; Sig.=0.001) accounted for 1.0%, 0.7%, and 0.2% of the variance in anxiety, respectively. Other significant predictors of anxiety included husband's alcohol consumption, genital discharge, and household wealth status. Anxiety is substantially prevalent among reproductive-aged women in Nepal, with sociodemographic factors playing a crucial role. Further research is needed to develop targeted socioeconomic, and behavioral interventions aimed at addressing anxiety and its broader impact on daily life, thereby ensuring the mental well-being of women of reproductive age.

Interpersonal Relationship and Suicide Attempt: The Role of Family and Social Relationship.

This study investigates the role of family and social relationships in cases of attempted suicide in China. Studies, mostly analyzing data from developed countries, have indicated that interpersonal relationships are important predictors of suicidal behaviors. This study's data were derived from a case-control study in China. Family relationships included relationships with spouses, parents, and parents-in-law. Poor family and social relationships were significantly associated with increased risk of attempted suicide in women and men. Depression and social support significantly mediated the association between interpersonal relationship and attempted suicide. Poor relationship with spouse was significantly associated with an elevated risk of attempted suicide. Relationship with parents-in-law was also significantly associated with attempted suicide in women, whereas family relationships played a more important role than social relationships in suicidal behaviors, especially in men. The findings imply that suicide prevention in China could be conducted from the perspective of improving family relationships, especially husband/wife and parents/daughters-in-law relationships.

Religion and Environment: The Role of Religiosity on Pro-environmental Behavior Among University Students in Indonesia

Numerous environmental problems in various countries occur as a result of human misbehavior in interacting with their environment. Therefore, to maintain balance in the relationship between humans and the natural environment, it is necessary to develop pro-environmental behavior. This study aims to investigate the role of religiosity on pro-environmental behavior. This research employed a quantitative-correlational method. The participants in this study were 205 university students aged 18-24 years who were selected by convenience sampling technique. This study used two primary instruments to measure the two research variables: Religious Commitment Inventory - 10 (RCI-10) to measure religiosity and the General Ecological Behavior Scale to measure pro-environmental behavior. The research data were analyzed using regression analysis techniques. The analysis showed that religiosity has a significant role as a predictor of pro-environmental behavior among university students. This means that the higher the level of religiosity, the higher pro-environmental behavior. These findings have practical implications for environmental conservation programs. It is important to develop pro-environmental behavior intervention programs for the community by instilling religious values that could encourage awareness, and then behavior, of environmental sustainability. Keywords: religion, religiosity, pro-environmental behavior, environmental psychology, environment

Predictors of preventative behavior in the restaurant industry: learning from the COVID-19 pandemic

ABSTRACT This study used a structural model to analyze the health beliefs and prevention expectations of consumers in order to better understand their health risk behavior and their experience with restaurant precautionary measures. The findings indicated the perceived severity of COVID-19 during the pandemic led to a significant increase in the consumers’ preventative behaviors. Likewise, the customers’ perceived severity of the COVID-19 threat enhanced their concerns about the safety of restaurant service. Based on the moderating effect, we found that lower trust in restaurant precautionary measures weakened the otherwise positive relationship between the consumers’ perceived severity of the COVID-19 threat and their preventative behavior. Recommendations can help the restaurant prepare for future public health concerns.

Assessing the contributions of gender, clinical symptoms, and psychometric traits to non-suicidal self-injury behaviors in Chinese adolescents: a nomogram approach.

Non-suicidal self-injury (NSSI) behaviors among adolescents with mood disorders represent a significant global public health concern. This study aimed to assess the prevalence and identify key predictors of NSSI behaviors in Chinese adolescents diagnosed with depressive or bipolar disorders, addressing a critical gap in the literature. Data from 2343 participants in the Chinese Adolescent Depression Cohort (CADC) were analyzed. The study employed a comprehensive approach, utilizing medical records, clinical assessments, and validated psychometric instruments. Statistical analyses included chi-square tests, logistic regression, and ROC curve analyses, culminating in the development of a predictive nomogram. The prevalence of NSSI behaviors was strikingly high at 73.32%. Significant predictors included female gender (AOR = 2.14, 95% CI [1.70, 2.68]), presence of hallucinations (AOR = 1.52, 95% CI [1.18, 1.97]), borderline personality features (AOR = 1.03, 95% CI [1.01, 1.08]), and childhood trauma (AOR = 1.02, 95% CI [1.01, 1.03]). The study's key contribution is a predictive nomogram with an AUC of 0.74, demonstrating good efficacy in predicting NSSI behaviors. This research reveals an alarmingly high prevalence of NSSI behaviors in Chinese adolescents with mood disorders and identifies critical predictors spanning demographic, clinical, and psychometric domains. The developed nomogram offers a novel approach for risk assessment, highlighting the importance of comprehensive evaluations in adolescent mental healthcare. These findings have significant implications for developing targeted interventions and improving risk assessment strategies in clinical practice.

A longitudinal investigation of the determinants of stroke survivors’ utilisation of a healthy lifestyle for stroke rehabilitation in Australia

This study aimed to determine the longitudinal predictors of lifestyle behaviours among stroke survivors in New South Wales, Australia. This longitudinal study utilised data from the baseline survey (2005–2009) and a sub-study survey (2017) of the 45 and Up Study. Physical activity, alcohol consumption, smoking status, and supplement use were included as dependent variables. Generalised estimating equation models were employed to assess the longitudinal association between the dependent variable and demographic and health status measures. The average age of the participants (n = 576) was 67 (SD = 9) years at baseline and 76 (SD = 9) years at the sub-study survey time, with 54.9% being male. The longitudinal analysis revealed that the likelihood of moderate/high physical activity significantly declined over time and was lower among participants with diabetes, but was higher among those with university education. The likelihood of smoking was significantly higher in females, moderate/high-risk alcohol consumers, and those with depression, but was lower among supplement users. The likelihood of moderate/high-risk alcohol consumption significantly declined with time, and was lower among females, but higher among smokers. The likelihood of supplement use significantly declined over time, but was higher among females and/or those with asthma. Our findings help illustrate that many stroke survivors may benefit from further support in adopting and maintaining a healthy lifestyle as part of their stroke management and long-term rehabilitation, which is crucial to optimising their quality of life and successful secondary stroke prevention.

Behavioural intentions towards use of digital video consultations in primary care: a survey study on physicians’, nurses’ and psychologists’ perceptions in Swedish primary care

ObjectivesThe study aimed to describe the experiences of physicians, nurses and psychologists employed in primary care in using digital video consultations. The second objective was to study the association between...

Mindfulness improves psychological health and supports health behaviour cognitions: Evidence from a pragmatic RCT of a digital mindfulness-based intervention.

Mindfulness-based interventions can improve psychological health; yet the mechanisms of change are underexplored. This pre-registered remote RCT evaluated a freely accessible digital mindfulness programme aiming to improve well-being, mental health and sleep quality. Health behaviour cognitions were explored as possible mediators. Participants from 91 countries (N = 1247, Mage = 27.03 [9.04]) were randomized to 30 days of mindfulness practice or attention-matched control condition. Measures of well-being, depression, anxiety, stress, sleep quality, barriers self-efficacy, self-regulation and behavioural predictors (e.g., attitudes and behavioural intentions) were taken at baseline, 1-month (post-intervention) and 2-months (follow-up). Linear regression examined intervention effects between and within groups. Longitudinal mediation analyses explored indirect effects through health behaviour cognitions. Three hundred participants completed post-intervention measures. Those receiving mindfulness training reported significantly better well-being (Mdifference = 2.34, 95%CIs .45-4.24, p = .016), lower depression (Mdifference = -1.47, 95%CIs -2.38 to -.56, p = .002) and anxiety symptoms (Mdifference = -.77, 95%CIs -1.51 to -.02, p = .045) than controls. Improvements in well-being and depression were maintained at follow-up. Intervention effects on primary outcomes were mediated by attitudes towards health maintenance and behavioural intentions. Mediating effects of attitudes remained when controlling for prior scores in models of depression and well-being. Digital, self-administered mindfulness practice for 30 days meaningfully improved psychological health, at least partially due to improved attitudes towards health behaviours and stronger behavioural intentions. This trial found that digital mindfulness is a promising and scalable well-being tool for the general population, and highlighted its role in supporting health behaviours.

Citizen science promotes knowledge, skills and collective action to monitor and protect freshwater streams

Abstract Citizen science has great potential to foster ecological knowledge, skills and collective action for biodiversity conservation. To date, however, there are few experimental studies of behaviour change outcomes induced by citizen science. We assessed the effects of citizen science in ecological stream monitoring on participants' individual and collective behaviour and action intentions to protect streams beyond the immediate scope of the citizen science project. For this we applied a three‐wave, quasi‐experimental survey design with a citizen science treatment group (N = 213 participants of the project FLOW in Germany) and two control groups (waiting control group: N = 92, panel control group: N = 250). In addition, we analysed citizen science effects on potential predictors of freshwater conservation behaviour, such as knowledge, skills, awareness of stream stressors and group identification. Results of linear mixed‐model analysis showed that, compared to the control groups, citizen scientists significantly increased their objective stream‐related knowledge, their self‐reported stream monitoring skills and their awareness of stream stressors. These changes remained stable 6 weeks after the citizen science intervention. Notably, citizen scientists also reported increased identification with their citizen science project group and higher levels of collective and personal behaviour to protect streams at posttest (e.g. contacting local politicians with ideas for stream protection or using biodegradable detergents). Analysis revealed that increases in group identification and collective stream protection behaviour were significantly correlated. We could show that the citizen science intervention was particularly effective for participants with high intrinsic motivation and for those with low prior knowledge and experience in stream monitoring. Synthesis and applications. Citizen science can serve as a useful tool to promote ecological understanding, awareness and collective action to conserve freshwater streams. By fostering volunteer skills and community building, citizen science projects can empower participants with different levels of experience to engage in freshwater monitoring and protection. Decision makers should actively support approaches for citizen participation in freshwater monitoring, recognising that collective engagement of diverse community members is needed to finally meet the European Water Framework Directive's goal of restoring the good ecological status of freshwater ecosystems. Read the free Plain Language Summary for this article on the Journal blog.

Off-Body Sleep Analysis for Predicting Adverse Behavior in Individuals With Autism Spectrum Disorder.

Poor sleep quality in Autism Spectrum Disorder (ASD) individuals is linked to severe daytime behaviors. This study explores the relationship between a prior night's sleep structure and its predictive power for next-day behavior in ASD individuals. The motion was extracted using a low-cost near-infrared camera in a privacy-preserving way. Over two years, we recorded overnight data from 14 individuals, spanning over 2000 nights, and tracked challenging daytime behaviors, including aggression, self-injury, and disruption. We developed an ensemble machine learning algorithm to predict next-day behavior in the morning and the afternoon. Our findings indicate that sleep quality is a more reliable predictor of morning behavior than afternoon behavior the next day. The proposed model attained an accuracy of 74% and a F1 score of 0.74in target-sensitive tasks and 67% accuracy and 0.69 F1 score in target-insensitive tasks. For 7 of the 14, better-than-chance balanced accuracy was obtained (p-value 0.05), with 3 showing significant trends (p-value 0.1). These results suggest off-body, privacy-preserving sleep monitoring as a viable method for predicting next-day adverse behavior in ASD individuals, with the potential for behavioral intervention and enhanced care in social and learning settings.

Relationships Between Health Beliefs, Fear of COVID-19, Knowledge of HIV Transmission, And HIV Preventive Behaviors Among Young Thai Men Who Have Sex with Men During the COVID-19 Pandemic

Background: Young Thai men who have sex with men (MSM) are at high risk of HIV transmission, making effective prevention crucial. This study aimed to examine the relationships between health beliefs, fear of COVID-19, knowledge of HIV transmission, and HIV preventive behaviors among young Thai MSM during the COVID-19 pandemic. Methodology: A cross-sectional online questionnaire study guided by the health belief model was conducted among young Thai MSM using snowball sampling. Data on HIV/AIDS health beliefs, knowledge of HIV prevention, fear of COVID-19, and HIV preventive behaviors were collected and analyzed using descriptive and inferential statistics. Results: The study included 134 participants (59.7% gay, 40.3% transgender). Knowledge of HIV prevention, fear of COVID-19, and HIV preventive behaviors were at a moderate level. Perceived severity of HIV/AIDS, perceived benefits of HIV prevention, self-efficacy for HIV prevention, knowledge of HIV transmission, and fear of COVID-19 were significantly related to HIV preventive behaviors among young Thai MSM (p&lt;.05). These five variables were predictors of HIV preventive behaviors (Adjusted R2 = 0.304, F=6.740, p&lt;0.05). Conclusions: The findings highlight the need for intervention programs focused on improving health beliefs and promoting HIV preventive behaviors among young Thai MSM.

Intention to adherence to social distancing for prevention of Covid-19 in the urban areas of southern Iran: a structural equation modeling (SEM) analysis of theory of planned behavior

BackgroundSocial distancing is a key behavior to minimize and controlling COVID-19 infections. The current study applied an integrated Theory of Planned Behavior to identify the determinants of social distancing behavior, and the processes involved, in the context of the COVID-19 pandemic.Methodsa cross-sectional study was conducted in Southern Iran among 1000 people from Shiraz by employing a convenience sampling technique. Data were collected using a pre-tested and structured questionnaire based on the main constructs of the Theory of Planned Behavior. Statistical analysis was done using IBM SPSS software version 22 and Amos version 24. Level of statistical significance was declared at a P-value of less than 0.05.Resultsaccording to the results, the subjective norms (F = 2.696, effect size = 0.139) and attitude (F = 3.582, effect size = 0.155) play an important role in the samples’ PBC (P ≤ 0.05). Final adjusted structural equation model of the effects of independent variables (Gender, subjective norms, attitude) on samples’ intention to adherence social distancing for prevention of Covid-19 with the mediating role of one main variable of PBC. The PBC alone can be an important factor in creating intensive behavior in the samples (F = 3.560, effect size = 0.18).Conclusioncurrent findings highlight the importance of “attitude, subjective norms and PBC” as determinants of social distancing intention. Future research on long-range predictors of social distancing behavior and reciprocal effects in the integrated model is warranted. This evidence is relevant to public and private organizations in the process of developing strategies to promote and engage the population in adopting the behavior of “Adherence to Social Distancing” in Iran.

Predictors of organizational citizenship behavior among government personnel: A structural equation modeling approach

The study aimed to develop a causal paradigm of organizational citizenship behavior among government personnel in the SOCCSKSARGEN Region. 400 employees were selected through stratified balanced sampling. Data were collected using survey questionnaires and analyzed through the mean, Pearson r, multiple regression, and structural equation modeling. The study determined that quality of work life, employee silence, and political skill statistically correlate with organizational citizenship behavior. The study inferred the predictive capacity of the exogenous latent variables in influencing the organizational citizenship behavior of LGU employees. There were five generated models of organizational citizenship behavior, and model five was determined as the best-fit structural model. The model retained five quality indicators of work life, namely compensation and rewards, training and development, relationships and cooperation, organizational culture and climate, and work environment. Prosocial silence and acquiescent silence remained as indicators of employee silence. Political skill was narrowed to three indicators, comprising social astuteness, interpersonal influence, and networking ability. Finally, altruism and civic virtue emerged as the strongest indicators of organizational citizenship behavior.

Therapeutic alliance and suicidal ideation in brief cognitive behavioral therapy for outpatients

ObjectiveThe therapeutic alliance is central to psychotherapy. However, research on the relationship between alliance and suicidality is scarce. We examined whether pretreatment suicidality is associated with an impaired alliance formation in brief cognitive behavioral therapy (CBT) and whether the therapeutic alliance is associated with change in suicidal ideation (difference between pretreatment and posttreatment assessment).MethodsN = 643 outpatients (64% female; age: M[SD] = 37.09[13.15], range: 18–73 years), received 12 sessions of manual-based short-term CBT for primary diagnosis treatment. Using self-report questionnaires, suicidal ideation and behavior were assessed before and after therapy, patient-rated therapeutic alliance was assessed after the fourth session and posttreatment. We performed correlation analyses and two hierarchical linear regressions, unadjusted and adjusted for possible confounding variables (age, gender, lifetime suicide attempts and depression).ResultsPretreatment suicidal ideation was not predictive of the quality of the early alliance. In addition, the therapeutic alliance was not predictive of change in suicidal ideation.ConclusionsIn the outpatient setting, no association was found between therapeutic alliance and suicidality. Future studies should investigate therapeutic alliance as a predictor of prospective suicidal behavior in different clinical settings.

Differential association theory, the Dark Triad of personality and the prediction of antisocial behaviour

Research has not investigated differential association theory alongside personality traits in predicting antisocial behaviour. The current study, consisting of 348 adults (M = 34.7 years, 66.1% female) from the general public, investigated how well differential association theory, alongside the Dark Triad, predicts antisocial behaviour. Results of standard multiple regression analyses indicated: (1) narcissism, Machiavellianism and psychopathy positively predicted antisocial behaviour, (2) total psychopathy was a significantly stronger predictor (p < .001, 95 % CI [0.02, 0.05]) of antisocial behaviour than narcissism or Machiavellianism, and, (3) lifestyle features were a significantly stronger predictor (β = 0.33, p < .001) of antisocial behaviour than interpersonal/affective features. A hierarchical regression analysis indicated: (4) narcissism, Machiavellianism and total psychopathy predicted a significant amount of additional variance in antisocial behaviour, after accounting for the influence of individual definitions and others’ definitions of crime. These findings may provide target areas for interventions in reducing antisocial behaviour.

Comparison of Traditional and Intensive Cardiac Rehabilitation on Dietary Behavior and Clinical Risk Factor Outcomes

Purpose: The objective of this study was to assess differences in dietary behavior and clinical risk factor outcomes and explore predictors of change among patients participating in traditional and Pritikin intensive cardiac rehabilitation (CR). Methods: This secondary analysis of cardiac registry data from 2015 to 2021 included patients participating in traditional CR (n = 420) or Pritikin intensive CR (n = 1005) at a single hospital site. Dietary behavior outcomes included the Rate Your Plate measure, while clinical risk factor outcomes included fasting lipids, blood pressure, anthropometrics, functional outcomes, and psychosocial assessment. Analysis of covariance examined a difference in Rate Your Plate scores between CR groups. Multivariate analysis of covariance was used to determine differences in clinical risk factor variables between CR groups. Predictors of change in dietary behavior and clinical risk factors were determined through multiple bivariate linear regression models within each CR group. Results: Both CR programs led to significant improvements though more change was observed among Pritikin intensive CR participants in dietary behavior, anthropometrics, and fasting lipids. Status as a current or recent smoker was not a significant predictor of dietary behavior. Male sex, status as a current or recent smoker, beta-blockers, and angiotensin-converting enzyme inhibitors prescribed were not significant predictors of total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, or non–high-density lipoprotein cholesterol for traditional and Pritikin intensive CR groups. There were not significant predictors of blood pressure, body mass, or waist circumference. Conclusion: Although participation in either CR program yielded cardiometabolic benefits, Pritikin intensive CR patients exhibited significantly greater improvements in dietary behavior and clinical risk factors.

Acceptance of Digital Discharge Management Interventions Among Patients After Bariatric Surgery: A Cross-Sectional Study

Bariatric surgery is an effective long-term treatment for severe obesity, but relapse rates remain high. Digital interventions can enhance patient care, yet research on the intention to use digital discharge management interventions is lacking. This study aims to assess the behavioral intention to use digital discharge management interventions after bariatric surgery and to identify differences in sociodemographic and medical characteristics, as well as potential key drivers and barriers. A cross-sectional study with N = 514 patients was conducted using the Unified Theory of Acceptance and Use of Technology (UTAUT). Mean scores for behavioral intention and predictors were calculated. Group differences were analyzed with independent t-tests and analyses of variance with post hoc tests. Drivers and barriers were assessed through multiple hierarchical regression analysis. The behavioral intention to use digital discharge management interventions was high. Significant predictors included age (β = −0.17, p &lt; 0.001), eHealth literacy (β = 0.10, p = 0.037), internet anxiety (β = −0.15, p = 0.003), and time since bariatric operation (β = −0.13, p = 0.005). The predictors performance expectancy (β = 0.23, p &lt; 0.001), effort expectancy (β = 0.36, p &lt; 0.001), and social influence (β = 0.26, p &lt; 0.001) were significantly positive key factors. These results confirm the need for implementing digital discharge interventions after bariatric surgery, with various drivers and barriers identified for application usage.