Health Psychology and Behavioral Medicine最新文献

Introduction: The burden of type 2 diabetes mellitus (T2DM) in India is on the rise, with projections indicating a staggering 134 million cases by 2045. Managing T2DM demands strict adherence, often resulting in mental strain and burnout. Diabetes distress (DD), a unique psychological burden, significantly affects motivation and self-care, contributing to increased morbidity and mortality.

Material and methods: This study was conducted by doing a comprehensive literature search using PubMed (MEDLINE) and EMBASE databases for studies published from their inception to 14th August 2023 by using relevant keywords. The protocol is registered in PROSPERO and adheres to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) checklist. Selected articles were meticulously screened based on predetermined inclusion and exclusion criteria. Joanna Briggs Institute (JBI) Critical Appraisal scale for cross-sectional study was used for assessing the study quality. Data analysis was done by using Jamovi 2.3.24 software.

Results: Following the systematic search and screening process, 10 cross-sectional studies were identified, comprising a total of 2,107 Type 2 Diabetes Mellitus patients. All studies employed the Diabetes Distress Scale-17 (DDS-17) for measurement. The prevalence of DD varied, ranging from 8.45% to 61.48%. The pooled prevalence of DD in T2DM patients in India was estimated at 33% (95% CI: 21%-45%) with substantial heterogeneity observed (I² = 97.33%, P < 0.001). While an asymmetric funnel plot suggested potential publication bias, sensitivity analysis reinforced the robustness of our findings.

Conclusion: Policymakers, clinicians, and researchers can leverage these insights to prioritize the psychological well-being of T2DM patients, ultimately improving their overall health outcomes. This study aligns with the Sustainable Development Goals (SDGs) and India's national health policy, emphasizing the urgency of screening and treating diabetes-related distress by 2025.

Background: Illness perceptions (IPs) and avoidance behavior both predict quality of life (QoL) in people with irritable bowel syndrome (IBS). This study examined whether the effects of IPs on QoL are mediated by avoidance behaviors, and whether this mediation is moderated by participant treatment-seeking status. Methods: People with self-reported IBS (n = 253) answered a survey assessing QoL, IPs, avoidance behaviors, and treatment-seeking status. Moderated-mediation analyses investigated the paths from IPs through avoidance behaviors to QoL, with treatment-seeking status entered as a moderator. Results: The final moderated mediation model included the IPs consequences, timeline and emotional representations as independent variables and avoidance behavior and depressive reactions as mediators. This model explained 68.6% of the variance in QoL. Among treatment-seeking participants five significant mediation effects were found, whereas only one significant mediation effect was found among participants who did not report seeking treatment. Conclusions: IPs seem to drive avoidant behavioral responses to IBS symptoms, which in turn predict reductions in QoL. These relationships seem more pronounced among people who seek treatment for their symptoms. In practice, health care practitioners might help improve the QoL of people with IBS by preventing or remedying the development of negative IPs and avoidance behaviors.

Background: Adolescence is the most crucial part of life. The vulnerability of adolescent mothers is even more pronounced and can affect various health aspects. While they suffer from social and emotional stresses shortly after giving birth, the long-term effect after the post-partum period of adolescent pregnancy on the mental outcomes holds prime importance. Thus, this systematic review aims to ascertain the association between adolescent pregnancy on mental health outcomes.

Methods: The search strategy was run in June 2023 on databases including PubMed, CINAHL, Scopus, Psych Info, and Embase . Quality assessment of the studies was done using the National Institute of Health (NIH)'s National Heart, Lung and Blood Institute (NHLBI) tool for observational studies. For studies that measured similar outcomes, a meta-analysis was conducted.

Findings: The search strategy yielded 21 results from all databases and cross-referencing. Of these, all except for one (case-control) were cross-sectional and cohort studies. The pooled analysis found a significant association between adolescent pregnancy and depression (RR 1.34; 95% CI 1.05, 1.72, 6 studies, heterogeneity: Chi² P 0.01; I² = 60%); however, no association was found in anxiety (RR 1.05; 95% CI 0.26, 4.14, 2 studies; heterogeneity: Chi² P = 0.0003; I² = 93%) and suicidal ideation (RR 3.21; 95% CI 0.17, 59.33; 3 studies; heterogeneity: Chi² P < 0.00001; I² = 98%).

Implication: These findings suggest that the mental health needs of adolescent mothers must be addressed and innovative and effective interventions that support and address the mental health needs of adolescent mothers are needed to improve their mental health.

Background: University is an important time in a young person's life. Although it is a time of exploration, self-discovery and socialising, it is also a time of increased vulnerability to mental health problems such as anxiety and depression. Studies have shown that engagement in mindfulness activities can have a positive effect on mental health. However, research is limited in its scope in particular in relation to stressful (transitional) periods of life.

Methods: The current study aims to address this issue by providing evidence on the predictive impact of both mindfulness practice and 'dispositional' (or trait) mindfulness on students' mental health. In total, we gathered data from 190 first-year students.

Results: A multiple regression was utilised for data analysis. This showed that 'dispositional' mindfulness, but not mindful activity had a significant impact on mental health scores.

Conclusion: This provides data for future research into the effectiveness of mindfulness interventions for student adaptation to university and potential interventions.

Multiple weight loss attempts, and weight regain are common. Various lifestyle changes are often required for success, but just diet and exercise are often promoted. The amount of lifestyle changes needed for successful weight management is still unclear. Lifestyle metrics, such as the Lifestyle Score (LS) of The Lifestyle Questionnaire for Weight Management (LQ-WM), may provide clarification and predict success rates. The range of possible scores on this measure is from -49 to 77, where higher scores suggest healthier lifestyles. Hypotheses are that higher lifestyle scores will be found with successful weight management outcomes. Method: 1,007 online participants completed the LQ-WM and other items related to weight management. Results: 90.7% (39/43) of participants with an LS of 50 + reported successful weight loss, while just 5% (2/40) reported weight regain. 35.7% (20/56) of those with LS below zero reported weight loss success, and 39.4% (13/33) reported weight regain. Significant (p < .001) mean LS differences existed between those with healthy BMI versus the obese range (m = 22.2, SD = 15.51; m = 6.70, SD = 15.97) and those reporting success versus those not reporting success (m = 26.92, SD = 17.03; m = 13.68, SD = 14.95). Discussion and Conclusions: Future studies should employ more diverse samples and use causal designs. The LS from the LQ-WM may be a helpful tool in research and clinical interactions to raise patients' awareness of behavioral patterns, increase the likelihood of success, and prevent future weight gain.

Background: Adolescents' risk-taking behaviors can have profound impacts on their future health. Few studies have established a relationship between multiple social environmental factors and adolescent risk behaviors. We used structural equation modeling to examine the role of parental monitoring and environmental risks on adolescents' behavioral intentions and risk behaviors.

Methods: Data were collected through the baseline survey of a national implementation project among 2205 Grade 6 students in 24 government schools in The Bahamas in 2019. Structural equation modeling examined relations among parental monitoring, environmental risk factors, behavioral intentions, and risk behaviors.

Results: Students had engaged in various delinquent, substance use, and sexual risks. In the structural equation model, parental monitoring demonstrated direct negative (protective) effects on behavioral intentions and risk behaviors, whereas environmental risk factors had a direct positive effect on adolescent behavioral intentions and risk behaviors. The model had an R² value of 0.57 for adolescent risk behaviors.

Conclusion: Parental monitoring and environmental risk factors had strong influences on risk-taking behaviors of early adolescents. Future adolescent health behavior interventions should consider offering additional prevention resources to early adolescents who are exposed to multiple environmental risk factors.

Background: No study has investigated the cancer-related fatigue (CRF) among Palestinian breast cancer survivors. Our purpose is to assess, compare, and correlate CRF in breast cancer survivors undergoing radiotherapy (RT) with study variables.

Methods: CRF in breast cancer survivors was assessed using Functional Assessment of Chronic Illness Therapy - Fatigue Scale (FACIT-F) (version 4). The sample consisted of 148 breast cancer survivors undergoing RT. Data was collected between 1 May 2021 and 1 September 2021. The means and standard deviations of the questionnaire using one-way ANOVA, and Pearson correlation coefficient were reported.

Results: Respondents ages ranged from 20 to >65 years old and was divided into four groups: (20-35, 36-50, 51-65, and >65 years, respectively). The total fatigue mean was 2.88 and the SD was 0.84, indicating an intermediate fatigue level among breast cancer survivors. Study survivors with higher education were more likely to be fatigued (F =7.68, P-value =0.001). Divorced survivors were more prone to fatigue compared to married survivors (F =5.83, P-value= 0.001). Finally, survivors who do not have children were more vulnerable to exhaustion compared to those with children (F =7.35, P-value =0.001). Also, younger survivors were more prone to fatigue, compared to older survivors (F =5.29, P-value = 0.002). Results also showed a positive relationship between each of the variables; the number of children (R =0.221, P-value =0.007), age (R =0.311, P-value =0.000), and duration of treatment (R =0.290, P-value =0.000), which means that the greater the number of children, the younger the age, or the longer the duration of treatment, the more fatigue is reported in breast cancer survivors.

Conclusions: Fatigue is frequently observed in breast cancer survivors undergoing RT. It can limit RT treatment continuity. Therefore, early detection of fatigue can help survivors adhere to RT treatment and achieve better clinical results.

Background: Many adults with type 1 (T1D) and type 2 diabetes (T2D) have inadequate sleep increasing their risk of hyperglycemia and developing complications. The objective was to identify psychosocial determinants of healthy sleep habits (HSH) among adults with T1D and T2D.

Methods: The two HSH were: avoiding screen use in bed and having sleep regularity. Adults (≥18 years) with T1D and T2D were invited to complete an anonymous online survey. The questionnaires were based on the Reasoned Action Approach and formative qualitative research previously conducted in 56 adults with T1D and T2D. Habit was included as an additional variable for screen use in bed.

Results: In total, 320 adults with diabetes (T1D: 39%; T2D: 61%) completed the questionnaires (screen use in bed: 174; sleep timing: 146). Close to 75% of participants reported screen use in bed and close to 90% reported sleep timing variability in the last month. Perceived behavioral control (PBC) to avoid screen use in bed (β = -0.4486, p < 0.0001), habit of using screens in bed (β = 0.4002; p < 0.0001), and age (β = -0.0202; p = 0.0086) were determinants of screen use in bed, and this model explained 71% of the variance. PBC for sleep regularity (β = -0.2909; p = 0.0004) and being female (β = 0.5057; p = 0.0069) were determinants of sleep timing variability, and this model explained 28% of the variance. The most important beliefs associated with each HSH were identified to obtain information to design targeted interventions.

Conclusions: Few adults with diabetes have HSH. Screen use in bed was strongly influenced by habit and the results suggest that both HSH are not easy to adopt among adults with diabetes. Younger adults with diabetes should be prioritized for screen use in bed, while females with diabetes should be prioritized for sleep timing variability. Adults with diabetes should have access to behavior change interventions to encourage them to adopt HSH.