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1.
Patient Educ Couns ; 103(1): 214-219, 2020 01.
Article in English | MEDLINE | ID: mdl-31447198

ABSTRACT

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 ß = -0.694, P =  0.007; GM/GL: standardized ß = -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.


Subject(s)
Diabetes Mellitus, Type 2 , Self-Management , Blood Glucose , Diabetes Mellitus, Type 2/therapy , Humans , Life Style , Transtheoretical Model
2.
JMIR Mhealth Uhealth ; 7(9): e12606, 2019 09 25.
Article in English | MEDLINE | ID: mdl-31573936

ABSTRACT

BACKGROUND: Physical inactivity is a risk factor for chronic noncommunicable diseases. Insufficient physical activity has become an important public health problem worldwide. As mobile apps have rapidly developed, physical activity apps have the potential to improve the level of physical activity among populations. OBJECTIVE: This study aimed to evaluate the effect of physical activity apps on levels of physical activity among college students. METHODS: A Web-based questionnaire was used to survey college students in Beijing from December 27, 2017, to January 5, 2018. According to a previous survey, 43% of college students using physical activity apps and 36% of those who never used such apps achieved the physical activity recommendations. In this study, the sample size was calculated to be 500. The questionnaire consisted of 5 parts: the use of physical activity apps, sports habits, social support, self-efficacy, and social demographic information. Structural equation modeling was used to test the relationships between the use of physical activity apps, self-efficacy, social support, and level of physical activity. RESULTS: Of the 1245 participants, 384 college students (30.8%) used physical activity apps (in the past month). Of these 384 students, 191 (49.7%) gained new friends via the app. College students who were using physical activity apps had a higher level of physical activity and higher scores for social support and self-efficacy (P<.001) than those who did not use such apps. The use of physical activity apps significantly affected the mediating effect of physical activity level through social support (beta=.126; P<.001) and self-efficacy (beta=.294; P<.001). Gender played an important role in app use, self-efficacy, and physical activity in the mediation model: male users spent more time on physical activity and had higher self-efficacy scores (P<.001). CONCLUSIONS: This study focused on college students in Beijing and found that the use of physical activity apps is associated with higher physical activity levels among these students. This effect is mainly through the mediation effect of social support and self-efficacy, rather than the direct effect of physical activity apps. The use of physical activity apps is associated with a higher social support level and higher self-efficacy score. Furthermore, a high social support level and high self-efficacy score are associated with higher physical activity levels.


Subject(s)
Exercise/psychology , Mobile Applications/statistics & numerical data , Self Efficacy , Social Support , Adolescent , China , Female , Humans , Internet , Latent Class Analysis , Male , Surveys and Questionnaires , Young Adult
3.
Patient Prefer Adherence ; 13: 1083-1092, 2019.
Article in English | MEDLINE | ID: mdl-31371926

ABSTRACT

PURPOSE: Medication adherence (MA) is a key factor for hypertensive patients' blood pressure control and forgetfulness is one of the main reasons that cause medication non-adherence. If effective, low-cost reminder package (LCRP) has great potentials for large-scale promotion. Therefore, this study aims to evaluate the effectiveness of combining LCRP and health education to improve MA among hypertensive patients. PATIENTS AND METHODS: A clustered randomized controlled trial was performed in Beijing. A total of 518 hypertensive patients recruited from 8 community health care centers were randomized to receive LCRP combined with case-based health education or usual care. Randomization was performed at community level. Multilevel modeling was used to evaluate the study effect. RESULTS: MA scores did not differ significantly at baseline between the intervention group and the control group. The results of multilevel modeling indicated that MA scores increased more in the intervention group, and the intervention effect on MA was 0.287 (95% CI: [0.103, 0.471], P=0.002). Patients' systolic blood pressure (SBP) and diastolic blood pressure (DBP) were not improved (SBP: difference=0.536, 95% CI [-3.207, 4.278]; DBP: difference=-0.927, 95% CI [-3.283, 1.428]). CONCLUSION: LCRP combined with case-based health education could significantly improve hypertensive patients' MA.

4.
Nutrients ; 10(12)2018 Dec 19.
Article in English | MEDLINE | ID: mdl-30572651

ABSTRACT

Evidence indicates that longitudinal changes in dietary patterns may predict variations in blood pressure (BP) and risk of incident hypertension. We aimed to identify distinct trajectories in the levels of Mediterranean diet adherence (MDA) in China and explore their association with BP levels and hypertension risk using the China Health and Nutrition Survey 1997⁻2011 data. Three levels of MDA were constructed. The trajectories in these levels were constructed using group-based trajectory modeling. A Cox proportional hazards model was used to measure the association between MDA trajectory groups and the risk of incident hypertension after adjusting for covariates. Finally, 6586 individuals were included. Six distinct MDA trajectory groups were identified: persistently low and gradual decline; rapidly increasing and stabilized; persistently moderate; slightly increasing, steady, and acutely descending; slightly decreasing and acutely elevated; and persistently high. The systolic BP and diastolic BP were significantly lower in trajectory groups with rapidly increasing and stabilized MDA; slightly increasing, steady, and acutely descending MDA; and persistently high MDA. Cox regression analysis showed that the risks of developing hypertension were relatively lower in the group with slightly increasing, steady, and acutely descending MDA (hazard ratio (HR) = 0.17, 95% confidence interval (CI): 0.09⁻0.32) and the group with rapidly increasing and stabilized MDA (HR = 0.32, 95% CI: 0.23⁻0.42), but the risk was the highest in the trajectory with persistently moderate MDA (HR = 0.96, 95% CI: 0.84⁻1.08). In conclusion, MDA in China was categorized into six distinct trajectory groups. BP was relatively lower in trajectory groups with initially high or increasing MDA levels. Greater MDA was significantly associated with a lower risk of developing hypertension.


Subject(s)
Diet, Mediterranean/statistics & numerical data , Hypertension/epidemiology , Patient Compliance/statistics & numerical data , Adolescent , Adult , Aged , Aged, 80 and over , Blood Pressure , China/epidemiology , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Nutrition Surveys , Risk Factors , Young Adult
5.
J Med Internet Res ; 20(5): e172, 2018 05 07.
Article in English | MEDLINE | ID: mdl-29735475

ABSTRACT

BACKGROUND: The popularity of internet as an area of research has grown manifold over the years. Given its rapid development and increasing coverage worldwide, internet-based interventions seem to offer a promising option to ameliorate huge burdens brought by type 2 diabetes mellitus. However, studies conducted by different researchers have provided contradictory results on the effect of internet-based interventions in glycemic control. OBJECTIVE: This meta-analysis aims to summarize currently available evidence and evaluate the overall impact of internet-based interventions on glycemic management of type 2 diabetic patients. METHODS: A systematic literature search was performed in PubMed, ScienceDirect, and Web of Science. Randomized controlled trials that used glycosylated hemoglobin values as the outcome measure of glycemic control were considered. Risk of bias and publication bias were evaluated. RESULTS: Of the 492 studies, 35 were included in meta-analysis, and results indicated that the weighted mean difference (WMD) between usual care and internet-based interventions at endpoint was -0.426% (95% CI -0.540 to -0.312; P<.001). Subgroup analyses revealed that intervention duration ≤3 months yielded optimal performance (WMD -0.51%; 95% CI -0.71 to -0.31; P<.001). Combined mobile and website interventions were substantially superior to solely Web-based and mobile-based interventions in glycemic control (combined WMD -0.77%, 95% CI -1.07 to -0.47; P<.001; Web only: WMD -0.48%; 95% CI -0.71 to -0.24, P<.001; mobile only WMD -0.31%, 95% CI -0.49 to -0.14; P<.001). Furthermore, the effect of interventions with automated feedbacks was similar to those with manual feedbacks, and studies with internet-based educational contents were more effective in glycemic control. The assessment revealed a low risk of bias. CONCLUSIONS: In conclusion, utilization of internet-based intervention is beneficial for patients with type 2 diabetes mellitus, and taking full advantage of this type of intervention may substantially reduce the incidence of complications and improve quality of life. TRIAL REGISTRATION: International Prospective Register of Systematic Reviews (PROSPERO): CRD42017058032; https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=58032 (Archived by WebCite at http://www.webcitation.org/6yY7eQNHr).


Subject(s)
Blood Glucose/metabolism , Diabetes Mellitus, Type 2/therapy , Internet/instrumentation , Quality of Life/psychology , Diabetes Mellitus, Type 2/pathology , Humans , Prospective Studies , Randomized Controlled Trials as Topic
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