Psychobehavioral Profiles to Assist Tailoring of Interventions for Patients With Hypertension: Latent Profile Analysis

Academic procrastination of nursing students in higher vocational college: Application of latent profile analysis and network analysis

BACKGROUND

Academic procrastination is especially prevalent among nursing students in higher vocational colleges and it is considered an important factor of poor academic performance. However, existing research mainly focused on the overall level of academic procrastination, and little is known about the individual heterogeneity of academic procrastination among nursing students in higher vocational colleges. Thus, the aim of this study was to clarify the subgroups and factors of academic procrastination among nursing students in higher vocational college and explore academic procrastination networks of the latent subgroups.

METHODS

A cross-sectional study with online survey. 1369 nursing students in one higher vocational college were recruited using convenience sampling. Participants completed electronic questionnaires that collected demographic and academic characteristics, perceived stress, and academic procrastination. Latent profile analysis, multinomial logistic regression analysis, and network analysis were performed to analyze the data.

RESULTS

Three latent profiles of academic procrastination were identified: low (32.4 %), medium (53.3 %), and high (14.3 %). Higher vocational college nursing students who have reset an exam, low professional identity, and perceived more stress are more likely to have higher academic procrastination than other profiles. Network analysis showed that academic procrastination networks structure of the three latent profiles had distinct central components. For the low academic procrastination group, AP11 ("I make study plans, but I often fail to stick to them") and AP12 ("If there is no external pressure, I tend to postpone assignments or reports with deadlines") were the core components. For the medium academic procrastination group, AP17 ("I always wait until I can't postpone my academic tasks any longer before starting them") and AP16 ("I always tend to postpone on assignments or other academic tasks") were the central components. For the high academic procrastination group, AP16 and AP7 ("When studying in my dorm room, I often stop to do other things") were the essential components.

CONCLUSIONS

There is heterogeneity in higher vocational college nursing students' academic procrastination that can be classified into three latent profiles. The examined factors of academic procrastination and identified the central components of academic procrastination networks of the three latent profiles help nurse educators tailor targeted interventions.

Cognitive-behavioral therapy for treating hypertension: a systematic review and meta-analysis

The aim of the study is to investigate whether cognitive behavioral therapy (CBT) can help in reducing blood pressure (BP) in patients with hypertension, both systolic blood pressure (SBP) and diastolic blood pressure (DBP), this being the primary outcome. This was a systematic review with a meta-analysis that followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) recommendations. The keywords used for the searches were CBT and hypertension and their respective synonyms, and were applied to the Pubmed, EMBASE and Web of Science databases. Eligibility and data extraction were performed by two independent researchers. They assessed the risk of bias using the Cochrane's RoB 2 tool and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach was used to assess the quality of the evidence. The data was pooled on the basis that all the analyses had a random effects model. Twenty-two studies were included in this review. In the meta-analysis, 11 studies were included in the analyses of the BP outcomes (SBP and DBP), five studies were included in the follow-up evaluation, and two studies in the body mass index (BMI) analysis. The searches included a total of 2897 patients. The studies presented a high risk of bias and very low quality of evidence. We observed an effect of -0.65 (95% CI: -0.91; -0.39) for CBT-based interventions on SBP with high heterogeneity (I2 85%) and a higher effect of -0.78% (95% CI: -1.13; -0.43) on DBP with even greater heterogeneity (I2 92%). We observed that CBT did have an effect on reducing BP and BMI in hypertensive adults. However, due to the considerable heterogeneity between the studies, the high risk of bias, and the low overall quality of evidence, confidence in these findings should be limited.

Quality of life profiles and their association with clinical and demographic characteristics and physical activity in people with a stoma: a latent profile analysis

Purpose

Quality of life can be negatively impacted by the formation of a stoma and is influenced by a number of factors. Research to date treats people with a stoma as a homogenous group based on their quality of life. We attempted to identify subgroups based upon self-reported quality of life and explored variables associated with group membership.

Methods

The present study is a secondary analysis of a cross-sectional sample of 1419 people with a stoma. Participants completed validated questionnaires for quality of life, physical activity and clinical and demographic characteristics. Latent profile analysis was used to identify the optimal number of subgroups (profiles) and multinomial regression modelling was conducted to identify variables associated with profile membership.

Results

The analysis revealed 4 distinct profiles of people with a stoma: ‘consistently good quality of life’ [N = 891 (62.8%)], ‘some quality of life concerns’ [N = 184 (13.0%)], ‘low quality of life’ [N = 181 (12.8%)] and ‘financial concerns’ [N = 163 (11.5%)]. Modelling revealed that people with a recent stoma (formed < 2 years previously), who have a hernia and are less physically active were more likely to belong to the ‘low quality of life’ profile. Furthermore, those aged 16–55 were more likely to have financial concerns.

Conclusion

This study was the first to identify latent profiles within this population and assess whether certain variables are associated with membership. Future research should build upon this to identify additional variables associated with these profiles, which can help to provide the basis for targeting and tailoring future interventions to specific subgroups of people with a stoma.

Supplementary Information

The online version contains supplementary material available at 10.1007/s11136-022-03102-5.

Biopsychosocial Profiles of Patients With Cardiac Disease in Remote Rehabilitation Processes: Mixed Methods Grounded Theory Approach

Background

Digital development has caused rehabilitation services and rehabilitees to become increasingly interested in using technology as a part of rehabilitation. This study was based on a previously published study that categorized 4 groups of patients with cardiac disease based on different experiences and attitudes toward technology (e-usage groups): feeling outsider, being uninterested, reflecting benefit, and enthusiastic using.

Objective

This study identifies differences in the biopsychosocial profiles of patients with cardiac disease in e-usage groups and deepen the understanding of these profiles in cardiac rehabilitation.

Methods

Focus group interviews and measurements were conducted with 39 patients with coronary heart disease, and the mean age was 54.8 (SD 9.4, range 34-77) years. Quantitative data were gathered during a 12-month rehabilitation period. First, we used analysis of variance and Tukey honestly significant difference test, a t test, or nonparametric tests—Mann–Whitney and Kruskal–Wallis tests—to compare the 4 e-usage groups—feeling outsider, being uninterested, reflecting benefit, and enthusiastic using—in biopsychosocial variables. Second, we compared the results of the 4 e-groups in terms of recommended and reference values. This analysis contained 13 variables related to biomedical, psychological, and social functioning. Finally, we formed biopsychosocial profiles based on the integration of the findings by constant comparative analysis phases through classic grounded theory.

Results

The biomedical variables were larger for waistline (mean difference [MD] 14.2; 95% CI 1.0-27.5; P=.03) and lower for physical fitness (MD −0.72; 95% CI −1.4 to −0.06; P=.03) in the being uninterested group than in the enthusiastic using group. The feeling outsider group had lower physical fitness (MD −55.8; 95% CI −110.7 to −0.92; P=.047) than the enthusiastic using group. For psychosocial variables, such as the degree of self-determination in exercise (MD −7.3; 95% CI −13.5 to −1.1; P=.02), the being uninterested group had lower values than the enthusiastic using group. Social variables such as performing guided tasks in the program (P=.03) and communicating via messages (P=.03) were lower in the feeling outsider group than in the enthusiastic using group. The feeling outsider and being uninterested groups had high-risk lifestyle behaviors, and adherence to the web-based program was low. In contrast, members of the being uninterested group were interested in tracking their physical activity. The reflecting benefit and enthusiastic using groups had low-risk lifestyle behavior and good adherence to web-based interventions; however, the enthusiastic using group had low self-efficacy in exercise. These profiles showed how individuals reflected their lifestyle risk factors differently. We renamed the 4 groups as building self-awareness, increasing engagement, maintaining a healthy lifestyle balance, and strengthening self-confidence.

Conclusions

The results facilitate more effective and meaningful personalization guidance and inform the remote rehabilitation. Professionals can tailor individual web-based lifestyle risk interventions using these biopsychosocial profiles.

Influence of Baseline User Characteristics and Early Use Patterns (24-Hour) on Long-Term Adherence and Effectiveness of a Web-Based Weight Loss Randomized Controlled Trial: Latent Profile Analysis

Background

Low adherence to real-world online weight loss interventions reduces long-term efficacy. Baseline characteristics and use patterns are determinants of long-term adherence, but we lack cohesive models to guide how to adapt interventions to users’ needs. We also lack information whether very early use patterns (24 hours) help describe users and predict interventions they would benefit from.

Objective

We aim to understand the impact of users’ baseline characteristics and early (initial 24 hours) use patterns of a web platform for weight loss on user adherence and weight loss in the long term (24 weeks).

Methods

We analyzed data from the POEmaS randomized controlled trial, a study that compared the effectiveness of a weight loss platform with or without coaching and a control approach. Data included baseline behavior and use logs from the initial 24 hours after platform access. Latent profile analysis (LPA) was used to identify classes, and Kruskal-Wallis was used to test whether class membership was associated with long-term (24 weeks) adherence and weight loss.

Results

Among 828 participants assigned to intervention arms, 3 classes were identified through LPA: class 1 (better baseline health habits and high 24-hour platform use); class 2 (better than average health habits, but low 24-hour platform use); class 3 (worse baseline health habits and low 24-hour platform use). Class membership was associated with long-term adherence (P<.001), and class 3 members had the lowest adherence. Weight loss was not associated with class membership (P=.49), regardless of the intervention arm (platform only or platform + coach). However, class 2 users assigned to platform + coach lost more weight than those assigned to platform only (P=.02).

Conclusions

Baseline questionnaires and use data from the first 24 hours after log-in allowed distinguishing classes, which were associated with long-term adherence. This suggests that this classification might be a useful guide to improve adherence and assign interventions to individual users.

Trial Registration

ClinicalTrials.gov NCT03435445; https://clinicaltrials.gov/ct2/show/NCT03435445

International Registered Report Identifier (IRRID)

RR2-10.1186/s12889-018-5882-y

Relationship between Depression Symptoms and Different Types of Measures of Obesity (BMI, SAD) in US Women

OBJECTIVE

To estimate the relationship between obesity (defined by both BMI and SAD) and various levels of depressive symptoms in women in the United States.

METHODS

This is a cross-sectional design. All data were collected from NHANES 2011-2012 and 2013-2014. The Patient Health Questionnaire (PHQ-9) was the primary variable used to index depressive symptoms. SAD was assessed using an abdominal caliper. We stratified participates into three groups according to SAD (trisection): T1: low (11.8-18.4 cm), T2: middle (18.5-22.8 cm), and T3: high (22.9-40.1 cm). Other data were collected following the NHANES protocols. We aimed to investigate the effects of obesity on the depression in the NHANES populations.

RESULTS

A total of 4477 women were enrolled in the final study population. Participants with a high SAD had the highest risk of clinical depression symptoms (OR = 1.2, 95% CI: 1.1-1.4), which was, in particular, the case for moderate-severe depression (OR = 1.4, 95% CI: 1.1-1.7) and severe depression (OR = 1.4, 95% CI: 1.0-1.9). We also found a significant relationship between SAD and BMI (r = 0.836). We did, however, not find a significant relationship between BMI and severe depression.

CONCLUSIONS

SAD had a better correlation with clinical depression symptoms than BMI, especially regarding severe depression symptoms.

Association of glucose control and stages of change for multiple self-management behaviors in patients with diabetes: A latent profile analysis

OBJECTIVE

To determine whether the joint use of the transtheoretical model and latent profile analysis could help us better understand the shared characteristics of patients with diabetes and explore the association of patients' latent classes and glucose control.

METHODS

Five hundred twenty-three (523) patients with diabetes were included in the study. The questionnaire evaluated patients' stages of change for medication-taking, diet control, exercise, and glucose-monitoring. Latent profile analysis was performed based on the four indicators.

RESULTS

Patients were classified into four latent groups and defined as follows: good medication-taking/good lifestyle (GM/GL, 41.7%), poor medication-taking/poor lifestyle (PM/PL, 27.7%), good medication-taking/poor lifestyle (GM/PL, 21.6%), and poor medication-taking/good lifestyle (PM/GL, 9.0%). Patients in the PM/PL group were generally younger and better educated while those in the GM/GL group exhibited the opposite pattern. Compared with patients in the PM/PL group, those in the PM/GL and GM/GL groups had significantly lower HbA1c values (PM/GL: standardized β = -0.694, P =  0.007; GM/GL: standardized β = -0.499, P =  0.003).

CONCLUSION

With the help of the transtheoretical model and latent profile analysis, future study could cluster homogeneous patients before the initiation of intervention and provide tailored instructions to different types of patients accordingly.

PRACTICE IMPLICATIONS

A combination of the transtheoretical model and latent profile analysis could shed some light into future diabetic interventions.

Motivation Profiles for Physical Activity Among Office Workers

Physical activity is of importance for health enhancement. To promote physical activity involvement, motivation is considered to be a key factor. This study aimed to examine the motivation profiles for physical activity in a sample of Chinese office-based workers, grounded in a person-centered approach. Latent profile analysis was performed to generate motivation profiles for physical activity behavior. Successively, profile differences in relation to different motivations and physical activity were explored. Two motivation profiles emerged from the analysis. The two profiles differed significantly in various behavioral motivations and physical activity. The findings indicate that motivation profile characterized by autonomous motivation and introjected regulation is more favorable in physical activity participation, compared with a profile featuring external regulation and amotivation. The motivation profiles that naturally emerge are informative for future intervention design aiming to facilitate physical activity participation.

Association of LIPC -250G/A and -514C/T polymorphisms and hypertension: a systematic review and meta-analysis

Background

Hypertension is the most common chronic disease, and most important risk factor for cardiovascular disease. This meta-analysis aimed to explore the association between hepatic lipase gene (LIPC) gene -250G/A (rs2070895) and -514C/T (rs1800588) polymorphisms and the susceptibility to hypertension.

Methods

Published studies were searched using the PubMed, Embase and Cochrane Library databases. Newcastle-Ottawa Scale (NOS) was used to assess the quality of the included studies. Sensitivity analysis was performed using “leave one out” method. Egger’s test was used to evaluate the publication bias. The random effect model was used to calculate the pooled effect size if P < 0.05 or I² ≥ 50%; otherwise, the fixed effect model was selected.

Results

Four eligible studies, including 2599 participants, were enrolled in the included studies from 2007 to 2014. Quality evaluation revealed that each study had high NOS scores ranged from 5 to 7. The LIPC rs1800588 polymorphism was not found to be associated with the susceptibility to hypertension under all genetic models (T vs C, P = 0.38; CT vs CC, P = 0.46; TT vs CC, P = 0.38; TT vs CC + CT, P = 0.54; TT + CT vs CC, P = 0.34). Notably, the frequencies of the AA+GA genotypes of LIPC rs2070895 polymorphism were related to an increased risk of hypertension (AA+GA vs. GG, OR = 1.1954, 95% CI: 1.0001–1.4288, P = 0.05).

Conclusion

The LIPC rs2070895 polymorphism was found to be related to an increased risk of hypertension. However, LIPC rs1800588 polymorphism was not associated with the susceptibility to hypertension.