The relationship between diabetes self-management and metabolic control in youth with type 1 diabetes: an integrative review

2011 ◽  
Vol 67 (11) ◽  
pp. 2294-2310 ◽  
Author(s):  
Jia Guo ◽  
Robin Whittemore ◽  
Guo-Ping He
Keyword(s):  
Type 1 Diabetes ◽  
Metabolic Control ◽  
Integrative Review ◽  
Self Management ◽  
The Relationship

Habit and Routine Interventions with Emerging Adults with Diabetes: An Integrative Review

2021 ◽  
pp. 019394592110322
Author(s):  
Kathleen M. Hanna ◽  
Jed R. Hansen ◽  
Kim A. Harp ◽  
Kelly J. Betts ◽  
Diane Brage Hudson ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Health Outcomes ◽  
Emerging Adults ◽  
Text Messaging ◽  
Integrative Review ◽  
Self Management ◽  
Future Research ◽  
Medical Librarian

Although theoretical and empirical writings on habits and routines are a promising body of science to guide interventions, little is known about such interventions among emerging adults with type 1 diabetes. Thus, an integrative review was conducted to describe interventions in relation to habits and routines, their influence on outcomes, and users’ perspectives. A medical librarian conducted a search. Teams screened titles, abstracts, and articles based upon predefined criteria. Evidence from the final 11 articles was synthesized. A minority of investigators explicitly articulated habits and routines theoretical underpinnings as part of the interventions. However, text messaging or feedback via technology used in other interventions could be implicitly linked to habits and routines. For the most part, these interventions positively influenced diabetes self-management-related behaviors and health outcomes. In general, the interventions were perceived positively by users. Future research is advocated using habit and routine theoretical underpinnings to guide interventions.

scholarly journals The Relationship between Diabetes Family Conflict and Parental Conflict on Problem Recognition in Illness Self-Management among Individuals with Type 1 Diabetes Mellitus

2021 ◽  
Vol 18 (17) ◽  
pp. 8914
Author(s):  
Mi-Kyoung Cho ◽  
Mi Young Kim
Keyword(s):  
Diabetes Mellitus ◽  
Type 1 Diabetes ◽  
Regression Model ◽  
Family Conflict ◽  
Conflict Behavior ◽  
Self Management ◽  
Parental Conflict ◽  
Diabetes Family ◽  
The Relationship

We investigated the relationship between diabetes family conflict and parental conflict on problem recognition in illness self-management (PRISM) among individuals with type 1 diabetes mellitus (T1DM). We employed a descriptive research design. Participants were 243 individuals with T1DM who completed online questionnaires. Data were analyzed with descriptive statistics, correlations, and multiple regression analyses. Results revealed that barriers were felt in all areas (understanding and organizing care, regimen pain and bother, healthcare team interaction, family interaction, and peer interaction), especially peer interaction. The significant influencing factors in the regression model for the total PRISM score of individuals with T1DM were conflict behavior toward mothers (t = 4.44, p < 0.001), diabetes family conflict (t = 5.77, p < 0.001), conflict behavior toward fathers (t = 2.58, p = 0.011), women (t = 2.67, p = 0.008), non-religious (t = −2.33, p = 0.020), and diabetic complications (t = 2.17, p = 0.031). The explanatory power of the constructed regression model for PRISM was 42.0% (F = 30.12, p < 0.001). To promote self-management among individuals with T1DM, the development of interventions that promote improved peer interactions, a family-centered approach, and a program that can minimize conflicts between families and parents are required.

scholarly journals Metabolic Control of the FreeStyle Libre System in the Pediatric Population with Type 1 Diabetes Dependent on Sensor Adherence

2022 ◽  
Vol 11 (2) ◽  
pp. 286
Author(s):  
Isabel Leiva-Gea ◽  
Maria F. Martos-Lirio ◽  
Ana Gómez-Perea ◽  
Ana-Belen Ariza-Jiménez ◽  
Leopoldo Tapia-Ceballos ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Glycemic Control ◽  
Metabolic Control ◽  
Pediatric Population ◽  
Interventional Study ◽  
Freestyle Libre ◽  
Scan Rate ◽  
The Impact ◽  
The Relationship

Aims: To evaluate the relationship between daily sensor scan rates and changes in HbA1c and hypoglycemia in children. Methods: We enrolled 145 paediatric T1D patients into a prospective, interventional study of the impact of the FreeStyle Libre 1 system on measures of glycemic control. Results: HbA1c was higher at lower scan rates, and decreased as the scan rate increased to 15–20 scans, after which it rose at higher scan rates. An analysis of the change in hypoglycemia, based on the number of daily sensor scans, showed there was a significant correlation between daily scan rates and hypoglycemia. Subjects with higher daily scan rates reduced all levels of hypoglycaemia. Conclusions: HbA1c is higher at lower scan rates, and decreases as scan rate increases. Reductions in hypoglycemia were evident in subjects with higher daily scan rates.

scholarly journals Behavioral Factors Influencing Health Outcomes in Youth with Type 1 Diabetes

2012 ◽  
Vol 08 (02) ◽  
pp. 77 ◽  
Author(s):  
Jessica C Kichler ◽  
Ashley Moss ◽  
Astrida S Kaugars ◽  
◽  
◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Health Outcomes ◽  
Metabolic Control ◽  
Self Management ◽  
Future Research ◽  
Behavioral Factors ◽  
Empirically Supported ◽  
Adherence Assessment ◽  
Management Behaviors

The Pediatric Self-Management Model provides an overview of how behavioral factors influence children’s chronic medical illnesses. This general framework is used to organize the present review of how self-management behaviors, contextual factors, and processes impact health outcomes for adolescent youth with type 1 diabetes. Adherence has been widely studied in the diabetes literature, and there are consistent findings demonstrating associations between aspects of self-management, adherence, and metabolic control, yet there are still equivocal approaches to adherence assessment methodology (e.g. global versus specific measures). Metabolic control is a hallmark health outcome for youth with type 1 diabetes, but additional outcomes need to be further explored. Future research should utilize the Pediatric Self-Management Model’s operational definitions to guide empirically-supported interventions for youth with type 1 diabetes.

Diabetes self-management, depressive symptoms, metabolic control and satisfaction with quality of life over time in Chinese youth with type 1 diabetes

2014 ◽  
Vol 24 (9-10) ◽  
pp. 1258-1268 ◽  
Author(s):  
Jia Guo ◽  
Robin Whittemore ◽  
Sangchoon Jeon ◽  
Margaret Grey ◽  
Zhi-Guang Zhou ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Type 1 Diabetes ◽  
Depressive Symptoms ◽  
Metabolic Control ◽  
Self Management ◽  
Chinese Youth ◽  
Over Time

scholarly journals The Relationship Between Maternal Awareness, Socioeconomic Situation of Families and Metabolic Control in Children With Type 1 Diabetes Miletus in an Iranian Population

2015 ◽  
Vol 6 (3) ◽  
Author(s):  
Fahimeh Soheilipour ◽  
Atefeh Ghanbari Jolfaei ◽  
Fariba Khodapanahandeh ◽  
Asadollah Rajab ◽  
Hamid Salehiniya ◽  
...  
Keyword(s):  
Type 1 Diabetes ◽  
Metabolic Control ◽  
Iranian Population ◽  
The Relationship

P655High lipoprotein(a) plasma levels is associated with higher prevalence of cardiovascular disease and poor metabolic control in patients with type 1 diabetes

2019 ◽  
Vol 40 (Supplement_1) ◽  
Author(s):  
K Littmann ◽  
T Wodaje ◽  
M Alvarsson ◽  
M Bottai ◽  
P Parini ◽  
...  
Keyword(s):  
Cardiovascular Disease ◽  
Type 1 Diabetes ◽  
Aortic Valve ◽  
Metabolic Control ◽  
Aortic Valve Disease ◽  
Microvascular Complications ◽  
Valve Disease ◽  
Poor Metabolic Control ◽  
The Relationship

Abstract Background Lipoprotein(a) [Lp(a)] is a cardiovascular risk factor that has been shown to correlate to cardiovascular disease and aortic valve disease. Plasma levels of Lp(a) has a skewed distribution, is highly influenced by genetic inheritance and is not considered to be affected by age, sex or lifestyle. Its importance for the development of vascular complications in patients with type 1 diabetes is unknown. Purpose To assess the contribution of Lp(a) to cardiovascular disease, microvascular complications, aortic valve disease in patients with type 1 diabetes mellitus, and to assess the relationship between diabetes metabolic control and Lp(a) levels. Methods We included 1857 consecutive type 1 diabetes patients receiving regular care at our out-patient clinic, department of Endocrinology, into an observational cross sectional registry study. Patient characteristics, cardiovascular history and Lp(a) measurement was extracted from their electronic medical charts. Patients were divided into four groups according to their Lp(a) levels in nmol/L (Very Low <10; Low 10–30; Intermediate 30–120; High >120) and statistical analysis was performed comparing the prevalence of mikro- and makrovascular complications between the groups. The relationship between Lp(a) and diabetes control measured as HbA1c (mmol/mol) was studied by comparing the subgroups with good (<52), average (52–70) and poor (>70) metabolic control. Results The mean (SD) age and diabetes duration in the cohort was 49.9 (15.8) years and 26.7 (15.5) years, respectively, and the Lp(a) median (inter quartile range) was 20.4 (7.8–75.1) nmol/L. Patients in the high Lp(a) group had significantly higher prevalence of cardiovascular and microvascular complications compared to patients with very low levels. The relative risk (confidence interval) increase to be affected by ischemic heart disease was 2.42 (1.41–4.15) (p=0.001), by albuminuria 1.87 1.26–2.78) (p=0.002) and by aortic valve disease 2.96 (1.53–5.78) (p=0.001). The relationship between Lp(a) and vascular complications was sustained when data was adjusted for age and smoking status between the groups albeit at a weaker level. No significant relationship was detected between cerebrovascular disease or the microvascular complications retinopathy and neuropathy and Lp(a) levels. Significantly higher Lp(a) levels were observed in patients with poor and average metabolic control compared to patients with good control (p<0.05). The 80:th percentile of Lp(a) was 78.6 nmol/L, 105.2 nmol/L and 100.6 nmol/L for good, average and poor metabolic control respectively (Figure 1). Figure 1. Lp(a) levels in relation to HbA1c Conclusions Lp(a) is a significant risk factor for cardiovascular complications and aortic valve disease in patients with type 1 diabetes. Poor metabolic control of the diabetes disease is associated to high Lp(a) levels. Acknowledgement/Funding Swedish Heart Foundation (PP), The Swedish Research Council (PP), Karolinska Institutet (PP, JB), Investigator initiated study grant from Sanofi (JB)

Sign in / Sign up

Export Citation Format

Share Document