Changes in diet and physical activity in adolescents with and without type 1 diabetes over time

Cardiorespiratory Fitness and Physical Activity in Pediatric Diabetes: A Systemic Review and Meta-Analysis

Importance

It is unclear whether cardiorespiratory fitness (CRF) and physical activity are lower among youths with type 1 diabetes (T1D) and type 2 diabetes (T2D) compared with youths without diabetes.

Objective

To describe the magnitude, precision, and constancy of the differences in CRF and physical activity among youths with and without diabetes.

Data Sources

MEDLINE, Embase, CINAHL, and SPORTDiscus were searched from January 1, 2000, to May 1, 2022, for eligible studies.

Study Selection

Observational studies with measures of CRF and physical activity in children and adolescents aged 18 years or younger with T1D or T2D and a control group were included.

Data Extraction and Synthesis

Data extraction was completed by 2 independent reviewers. A random-effects meta-analysis model was used to estimate differences in main outcomes. The pooled effect estimate was measured as standardized mean differences (SMDs) with 95% CIs. The Preferred Reporting Items for Systematic Review and Meta-Analyses guideline was followed.

Main Outcomes and Measures

The main outcomes were objectively measured CRF obtained from a graded maximal exercise test and subjective or objective measures of physical activity. Subgroup analyses were performed for weight status and measurement type for outcome measures.

Results

Of 7857 unique citations retrieved, 9 studies (755 participants) with measures of CRF and 9 studies (1233 participants) with measures of physical activity for youths with T2D were included; for youths with T1D, 23 studies with measures of CRF (2082 participants) and 36 studies with measures of PA (12 196 participants) were included. Random-effects models revealed that directly measured CRF was lower in youths with T2D (SMD, -1.06; 95% CI, -1.57 to -0.56; I2 = 84%; 9 studies; 755 participants) and in youths with T1D (SMD, -0.39; 95% CI, -0.70 to -0.09; I2 = 89%; 22 studies; 2082 participants) compared with controls. Random-effects models revealed that daily physical activity was marginally lower in youths with T1D (SMD, -0.29; 95% CI, -0.46 to -0.11; I2 = 89%; 31 studies; 12 196 participants) but not different among youths with T2D (SMD, -0.56; 95% CI, -1.28 to 0.16; I2 = 91%; 9 studies; 1233 participants) compared with controls. When analyses were restricted to studies with objective measures, physical activity was significantly lower in youths with T2D (SMD, -0.71; 95% CI, -1.36 to -0.05; I2 = 23%; 3 studies; 332 participants) and T1D (SMD, -0.67; 95% CI, -1.17 to -0.17; I2 = 93%; 12 studies; 1357 participants) compared with controls.

Conclusions and Relevance

These findings suggest that deficits in CRF may be larger and more consistent in youths with T2D compared with youths with T1D, suggesting an increased risk for cardiovascular disease-related morbidity in adolescents with diabetes, particularly among those with T2D. The findings reinforce calls for novel interventions to empower youths living with diabetes to engage in regular physical activity and increase their CRF.

The impact of physical activity, quality of life and eating habits on cardiometabolic profile and adipokines in youth with T1D

PURPOSE

Individuals with Type-1-Diabetes (T1D) are at higher risk of having premature cardiovascular-disease (CVD). Physical activity and healthy lifestyle are major components in the prevention of diabetes' related comorbidities and complications. The aim of this study was to investigate the impact of physical activity, eating habits and quality of life in children and adolescents with T1D on diabetic control, cardiovascular and biochemical profile, infection indices, and adipokine levels.

METHODS

This cross-sectional study involved 80 participants (36 boys/44 girls) with T1D, aged (mean ± SD) 14.9 ± 3.4 years, who attended the Diabetes and Metabolism Clinic of a University Children's Hospital, using anthropometric studies, lipid profile, high-sensitivity-C-Reactive-Protein(hs-CRP), Interleukin-6(IL6), leptin and adiponectin levels. Physical activity was assessed with pedometers (total-steps/week) and questionnaire.

RESULTS

In 20(25%) children the level of exercise was >75th percentile, in 20(25%) <25th percentile and in 40(50%) children ranged between 25-75th percentile, respectively. Higher levels of physical activity were associated with weight (beta = -0.053, p < 0.001), waist circumference (beta = -0.077, p < 0.001), BMI (beta = -0.167, p = 0.009), muscle mass (beta = -0.0619, p = 0.001) and HDL-C (beta = 0.039, p = 0.033). Quality of life was positively related to weight (beta = 5.49511, p = 0.002), waist circumference (beta = 6.593345, p = 0.012), muscle mass (beta = 7.324088, p < 0.001) and T1D duration (beta = 19.22442, p = 0.005). Lipid profile was positively associated with sweets and chocolate consumption (beta = 0.348, p < 0.05), while vegetable (beta = -0.245, p < 0.05) and white milk consumption (beta = -0.2295, p < 0.05) were negatively associated with waist/height ratio.

CONCLUSIONS

In the present study, higher levels of physical activity were associated with improved lipid profile (HDL-C, triglycerides) and body composition [waist circumference, Body-Mass-Index (BMI] of children and adolescents with T1D. Higher scoring in quality-of-life questionnaires were related to older children with longer diabetes duration. Unhealthy eating habits unfavorably affected lipid profile and body composition in T1D youth.

24-Hour Movement Behaviours (Physical Activity, Sedentary Behaviour and Sleep) Association with Glycaemic Control and Psychosocial Outcomes in Adolescents with Type 1 Diabetes: A Systematic Review of Quantitative and Qualitative Studies

Type 1 Diabetes (T1D) is a condition requiring 24-hour management. The way in which an individual combines their 24-hour movement behaviours (24-h MBs), which is comprised of physical activity (PA), sedentary behaviour (SB), and sleep, throughout the day can have a significant impact on physical and mental health. This mixed methods systematic review aimed to investigate 24-h MBs' relationship with glycaemic control and psychosocial outcomes in adolescents (11-18 years) with T1D. Ten databases were searched for quantitative and qualitative English language articles reporting at least one of the behaviours and their relationship with outcomes. There were no restrictions on article publication dates or study design. Articles were subjected to title and abstract screening, full text screening, data extraction and quality assessment. Data were summarised narratively, and a meta-analysis was conducted where possible. From 9922 studies, 84 were included for data extraction (quantitative (n = 76), qualitative (n = 8)). Meta-analyses revealed a significant favourable association between PA and HbA1c (-0.22 [95% CI: -0.35, -0.08; I² = 92.7%; p = 0.001). SB had an insignificant unfavourable association with HbA1c (0.12 [95% CI: -0.06, 0.28; I² = 86.1%; p = 0.07]) and sleep had an insignificant favourable association (-0.03 [95% CI: -0.21, 0.15; I² = 65.9%; p = 0.34]). Importantly, no study investigated how combinations of behaviours collectively interacted and impacted on outcomes.

The Role of Exercise on Cardiometabolic Profile and Body Composition in Youth with Type 1 Diabetes

Exercise has a direct positive effect on glycemic control by promoting insulin secretion from β-pancreatic islet-cells and by increasing skeletal muscle glucose uptake. The reduction in daily insulin needs and the optimization of glycemic control improves the patient's quality of life, self-esteem, mental wellness, as well as diabetes-related mobility and mortality. The aim of this study was to investigate the effect of physical activity in children and adolescents with type-1 diabetes (T1D) on diabetic control, cardiovascular, and biochemical profiles; hs-CRP; IL6; leptin; and adiponectin levels of the population under study. This is a prospective cross-sectional study that involved 80 participants (36 boys and 44 girls) with T1D, who were aged 6-21 years and who attended the Diabetes and Metabolism Clinic of the 2nd Pediatric Department, University of Athens, "P & A Kyriakou" Children's Hospital of Athens. Twenty (25%) children were above the 75th percentile regarding total levels of physical activity, while 40 (50%) and 20 (25%) were between the 25th and 75th percentile, as well as below the 25th percentile, respectively. In the group with an intermediate level of exercise, physical activity was negatively associated with the participant's family situation (traditional, single parent, grandparent, with others, or by himself/herself) (p = 0.013), ferritin (p = 0.031), lipoprotein(a) [Lp(a)] (p = 0.016), and squared leptin levels (p = 0.040). Whereas in the groups with extreme vs. no exercise there was a negative association with the number of daily glucose measurements (p = 0.047). However, in the group with non-vigorous exercise, physical activity was positively associated with high density lipoprotein-c (HDL-c) levels (p = 0.048). The findings of this study are indicative of the beneficial role of exercise on children and adolescents with T1D, which is achieved by primarily improving their cardiometabolic profile through the amelioration of lipid profile [HDL-c, Lp(a)] and leptin levels, as well as by reducing chronic systemic inflammatory response (ferritin) and ultimately decreasing the overall diabetes morbidity.

Sex-Related Differences in Cardiovascular Disease Risk Profile in Children and Adolescents with Type 1 Diabetes

Cardiovascular disease (CVD) is the primary cause of higher and earlier morbidity and mortality in people with type 1 diabetes (T1D) compared to people without diabetes. In addition, women with T1D are at an even higher relative risk for CVD than men. However, the underlying pathophysiology is not well understood. Atherosclerotic changes are known to progress early in life among people with T1D, yet it is less clear when excess CVD risk begins in females with T1D. This review explores the prevalence of classical CVD risk factors (such as glycemic control, hypertension, dyslipidemia, obesity, albuminuria, smoking, diet, physical inactivity), as well as of novel biomarkers (such as chronic inflammation), in children and adolescents with T1D with particular regard to sex-related differences in risk profile. We also summarize gaps where further research and clearer clinical guidance are needed to better address this issue. Considering that girls with T1D might have a more adverse CVD risk profile than boys, the early identification of and sex-specific intervention in T1D would have the potential to reduce later CVD morbidity and excess mortality in females with T1D. To conclude, based on an extensive review of the existing literature, we found a clear difference between boys and girls with T1D in the presence of individual CVD risk factors as well as in overall CVD risk profiles; the girls were on the whole more impacted.

Predicting Nocturnal Hypoglycemia with Measures of Physical Activity Intensity in Adolescent Athletes with Type 1 Diabetes

For someone managing type 1 diabetes, understanding their body's glucose response to physical activity could aid in effectively addressing nocturnal hypoglycemia. The purpose of this investigation was to examine the acute temporal associations between blood glucose and measures of moderate-vigorous physical activity (MVPA) through an accelerometer. Ten adolescent athletes with type 1 diabetes wore an accelerometer and continuous glucose monitor (CGM) consecutively for a minimum of 2 weeks. Physical activity was analyzed according to intensity indicating time spent in light, moderate, and vigorous intensities. Hypoglycemic episodes were defined as two successive CGM readings <70 mg/dL, at 5-min intervals, with an episode ending with at least two CGM readings >70 mg/dL. Incidence of nocturnal hypoglycemia occurred during 29% of the nights measured with an average duration of 52.33 ± 41.04 min. When combining total minutes of moderate and vigorous intensities a significant difference was observed between combined MVPA and number of nocturnal hypoglycemic episodes (62.92 min vs. 49 episodes, P = 0.02). Moderate intensity activity alone was not significant in predicting hypoglycemic events or duration. Vigorous intensity physical activity was a significant predictor of nocturnal hypoglycemia after controlling for sedentary and light intensity minutes, age, and gender (β = 0.21, P = 0.01) with an average time of 26 min of vigorous intensity. Engaging in vigorous intensity physical activity increased the risk of prolonged nocturnal hypoglycemia in adolescent athletes with type 1 diabetes. Incorporating accelerometers into patient care could prove beneficial when making further recommendations for athletes.

Influences of gender on cardiovascular disease risk factors in adolescents with and without type 1 diabetes

Background

Women with type 1 diabetes (T1D) have a four-fold increased risk for cardiovascular disease (CVD) compared to non-diabetic (non-DM) women, as opposed to double the risk in T1D men compared to non-DM men. It is unclear how early in life CVD risk differences begin in T1D females. Therefore, our objective was to compare CVD risk factors in adolescents with and without T1D to determine the effects of gender on CVD risk factors.

Methods

The study included 300 subjects with T1D (age 15.4±2.1 years, 50 % male, 80 % non-Hispanic White (NHW), glycated hemoglobin (A1c) 8.9±1.6 %, diabetes duration 8.8±3.0 years, BMI Z-score 0.62±0.77) and 100non-DM controls (age 15.4±2.1 years, 47 % male, 69 % NHW, BMI Z-score 0.29±1.04). CVD risk factors were compared by diabetes status and gender. Multivariate linear regression analyses were used to determine if relationships between diabetes status and CVD risk factors differed by gender independent of differences in A1c and BMI.

Results

Differences in CVD risk factors between T1D subjects and non-DM controls were more pronounced in girls. Compared to boys with T1D and non-DM girls, T1D girls had higher A1c (9.0 % vs. 8.6 % and 5.1 %, respectively), BMI Z-score (0.70 vs. 0.47 and 0.27), LDL-c (95 vs. 82 and 81 mg/dL), total cholesterol (171 vs. 153 and 150 mg/dL), DBP (68 vs. 67 and 63 mmHg), and hs-CRP (1.15 vs. 0.57 and 0.54 mg/dL) after adjusting for Tanner stage, smoking status, and race/ethnicity (p <0.05 for all). In T1D girls, differences in lipids, DBP, and hs-CRP persisted even after adjusting for centered A1c and BMI Z-score.

Testing interactions between gender and T1D with CVD risk factors indicated that differences were greater between girls with T1D and non-DM compared to differences between boys with T1D and non-DM. Overall, observed increases in CVD risk factors in T1D girls remained after further adjustment for centered A1c or BMI Z-score.

Conclusions

Interventions targeting CVD risk factors in addition to lowering HbA1c and maintaining healthy BMI are needed for youth with T1D. The increased CVD risk factors seen in adolescent girls with T1D in particular argues for earlier intervention to prevent later increased risk of CVD in women with T1D.

Lifestyle of patients with diabetes mellitus type 1: a systematic review

The aim of this review was to verify data concerning the relationship between the existent lifestyle and glycemic control in patients with Diabetes Mellitus Type 1 (DM1). The methods applied included the literature search strategy, selection of studies by means of inclusion and exclusion strategies, according to the characteristics of the studies. The search was conducted in the Lilacs, Medline, PubMed, Cochrame, SciELO and IBECS databases between in the period between 2005 and 2014. The articles selected were studies in humans, investing lifestyle, physical activities and glycemic levels. Of the 1798 studies initially identified, 11 met the eligibility criteria. Among the studies analyzed, 1 cohort; 1 longitudinal prospective, 1 case control and 8 transversal studies that approached the proposed theme were related. Regular physical activity was the variable that presented greatest relationship with the improvement in glycemic levels. Healthy active life, balanced diet, physical activities and education in diabetes improved the glycemic control of the DM1 patient. The results allowed the authors to conclude that a lifestyle based on physical activities interfered directly in the health of patients with DM1, in addition to contributing the glycemic control.