Can the Multi-Theory Model (MTM) of Health Behavior Change Explain the Intent for People to Practice Meditation?

The promising role of Transcendental Meditation in the prevention and treatment of cardiometabolic diseases: A systematic review

Psychological distress has a demonstrable impact on cardiovascular diseases (CVD) and risk factors. Transcendental Meditation (TM) has been shown to reduce stress and improve health and well-being. The current review aimed to synthesize the evidence on the effects of TM on cardiometabolic outcomes and identify gaps for future research. We searched PubMed/MEDLINE, EMBASE, SCOPUS, and Web of Science databases for relevant literature. Forty-five papers that reported studies of TM on cardiometabolic risk factors and diseases were included. Evidence shows that TM is effective in reducing blood pressure (BP). We found some evidence that TM can improve insulin resistance and may play a role in improving dyslipidemia, exercise tolerance, and myocardial blood flow, and in reducing carotid intima-media thickness and left ventricular mass. Studies show that long-term TM practice can reduce the risk of myocardial infarction, stroke, and CVD mortality. This review identified that certain studies have high participant drop-out rates, and fewer studies targeted comprehensive cardiometabolic outcomes beyond BP with longer follow-up periods. We found that most studies were conducted in specific populations, which may limit generalizability. In conclusion, TM has the potential to improve cardiometabolic health; however, research gaps highlight the need for larger phase III multicenter clinical trials with long-term follow-ups.

Impact of a mobile health intervention based on multi-theory model of health behavior change on self-management in patients with differentiated thyroid cancer: protocol for a randomized controlled trial

Introduction

Theoretical models of health behavior are important guides for disease prevention and detection, treatment and rehabilitation, and promotion and maintenance of physical and mental health, but there are no intervention studies related to differentiated thyroid cancer (DTC) that use theoretical models of health as a guide. In this study, we used a microblogging platform as an intervention vehicle and mobile patient-doctor interactive health education as a means of intervention, with the aim of improving the health behaviors of DTC patients as well as the corresponding clinical outcomes.

Methods

This research project is a quantitative methodological study, and the trial will be a single-blind, single-center randomized controlled trial conducted at the Fourth Hospital of Harbin Medical University in Harbin, Heilongjiang Province. The study subjects are patients over 18 years of age with differentiated thyroid cancer who were given radioactive iodine-131 therapy as well as endocrine therapy after radical surgery for thyroid cancer. The intervention group will receive MTM-mhealth, and the realization of health education will rely on the smart terminal WeChat platform. Routine discharge education will be given to the control group at discharge. The primary outcome will be change in thyroid-stimulating hormone (TSH) from baseline and at 3 and 6 months of follow-up, and secondary outcomes will include change in self-management behavior, social cognitive and psychological, and metabolic control.

Discussion

This study will explore a feasible mHealth intervention program applied to a population of DTC patients using the Multi-theory model of health behavior change (MTM) as a guide, with the aim of evaluating the MTM-based intervention program for clinical outcome improvement in DTC patients, as well as determining the effectiveness of the MTM-based intervention program in improving self-management skills in DTC patients. The results of this study will indicate the feasibility as well as the effectiveness of the application of health theoretical modeling combined with mHealth applications in disease prognostic health management models, and provide policy recommendations and technological translations for the development of mobility-based health management applications in the field of health management.

Predicting Physical Activity in Chinese Pregnant Women Using Multi-Theory Model: A Cross-Sectional Study

BACKGROUND

Physical activity (PA) brings many benefits to pregnant women and fetuses; however, the majority of pregnant women do not participate actively in PA during pregnancy.

OBJECTIVES

This study aimed to: (1) assess the utility of Multi-Theory Model (MTM) to explain the intentions of PA behavior in Chinese pregnant women; (2) analyze the predictors in initiating and maintaining PA behavior based on MTM.

METHODS

A cross-sectional study including pregnant women was conducted from March to June 2022 at a university hospital in Hangzhou, Zhejiang Province, China. Participants completed measures that included a self-developed demographic questionnaire and a 29-item MTM questionnaire. Descriptive statistics and stepwise multiple regression were used to analyze the data. The reliability was assessed by Cronbach's alpha and test-retest stability. The construct validity was evaluated by using exploratory factor (EFA) analysis and confirmatory factor analysis (CFA).

RESULTS

A total of 450 pregnant women participated in this study. The score of the magnitude of intention to initiate and maintain PA behavior during pregnancy was 2.30 (1.08) and 2.24 (1.09). The overall Cronbach's alpha value was 0.857. A four-factor structure for initiation model and a three-factor structure for maintenance model were determined. Results of the CFA confirmed construct validity of subscales (initiation model: χ² = 206.123, df = 140, p < 0.001, χ²/df = 1.472, RMSEA = 0.046, SRMR = 0.0432, GFI = 0.913, CFI = 0.982; maintenance model: χ² = 49.742, df = 29, p < 0.001, χ²/df = 1.715, RMSEA = 0.057, SRMR = 0.0432, GFI = 0.958, CFI 0.985). The result of regression indicated that participatory dialogue (β = 0.030; p = 0.002), behavioral confidence (β = 0.128; p < 0.001), changes in physical environment (β = 0.041; p = 0.005), trimester (β = -0.192; p = 0.001), and Gestational Diabetes Mellitus (GDM) (β = 0.408; p < 0.001) explained 52.1% variance in initiating PA behavior. Emotional transformation (β = 0.197; p < 0.001), practice for change (β = 0.083; p = 0.001), changes in social environment (β = 0.063; p < 0.001), pre-pregnancy exercise habit (β = -0.251; p = 0.001), and GDM (β = 0.298; p = 0.003) were significantly associated with pregnant women's intentions to maintain PA behavior and explained 49.1% variance.

CONCLUSIONS

The constructs of MTM were effective in explaining the intention to initiate and maintain PA behavior among Chinese pregnant women.