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1.
Angew Chem Int Ed Engl ; 58(27): 9032-9037, 2019 Jul 01.
Article in English | MEDLINE | ID: mdl-31066167

ABSTRACT

The charge density mismatch concept was applied to the synthesis of high-charge-density silicoaluminophosphate SAPO-69 (OFF) and SAPO-79 (ERI) and zincoaluminophosphate PST-16 (CGS), PST-17 (BPH), PST-19 (SBS), and ZnAPO-88 (MER) molecular sieves. Combined alkali-organoammonium structure direction in these systems is thus enabled. Structure direction is treated from the perspective of stabilizing an ionic framework, the relationships between reaction charge density (OH- /H3 PO4 ), alkali and organoammonium content, and ionicity of tetrahedral framework atoms in successful structure direction are presented.

2.
Diabetes Care ; 46(2): 262-269, 2023 02 01.
Article in English | MEDLINE | ID: mdl-35771776

ABSTRACT

OBJECTIVE: To evaluate the relation between household food insecurity (HFI) and fear of hypoglycemia among young adults with type 1 and type 2 diabetes and adolescents with type 1 diabetes and their parents. RESEARCH DESIGN AND METHODS: We analyzed cross-sectional data of 1,676 young adults with youth-onset diabetes (84% type 1, 16% type 2) and 568 adolescents (<18 years old; mean age 15.1 years) with type 1 diabetes from the SEARCH for Diabetes in Youth study. Adult participants and parents of adolescent participants completed the U.S. Household Food Security Survey Module. Adults, adolescents, and parents of adolescents completed the Hypoglycemia Fear Survey, where answers range from 1 to 4. The outcomes were mean score for fear of hypoglycemia and the behavior and worry subscale scores. Linear regression models identified associations between HFI and fear of hypoglycemia scores. RESULTS: Adults with type 1 diabetes experiencing HFI had higher fear of hypoglycemia scores (0.22 units higher for behavior, 0.55 units for worry, 0.40 units for total; all P < 0.0001) than those without HFI. No differences by HFI status were found for adolescents with type 1 diabetes. Parents of adolescents reporting HFI had a 0.18 unit higher worry score than those not reporting HFI (P < 0.05). Adults with type 2 diabetes experiencing HFI had higher fear of hypoglycemia scores (0.19 units higher for behavior, 0.35 units for worry, 0.28 units for total; all P < 0.05) than those in food secure households. CONCLUSIONS: Screening for HFI and fear of hypoglycemia among people with diabetes can help providers tailor diabetes education for those who have HFI and therefore fear hypoglycemia.


Subject(s)
Diabetes Mellitus, Type 1 , Diabetes Mellitus, Type 2 , Hypoglycemia , Humans , Adolescent , Young Adult , Diabetes Mellitus, Type 2/complications , Cross-Sectional Studies , Food Supply , Fear , Food Insecurity , Parents
3.
South Med J ; 105(10): 513-7, 2012 Oct.
Article in English | MEDLINE | ID: mdl-23038480

ABSTRACT

PURPOSE: To characterize rates of initial misclassification of type 1 diabetes mellitus as type 2/unspecified diabetes mellitus in a cohort of children/adolescents and to examine the impact of misclassification on the risk of diabetes-related complications. METHODS: An 11-year dataset (1996-2006) was analyzed. Inclusion criteria included age 17 years and younger, enrollees in South Carolina State Medicaid, and diagnosis of type 2/unspecified or type 1 diabetes mellitus for at least two visits, 15 days apart. Survival analysis was used to assess the association of "misclassification" with the incidence of diabetic ketoacidosis (DKA), and the cumulative incidence of neuropathy, nephropathy, and cardiovascular complications, after controlling for individual risk factors and comorbid conditions. RESULTS: A total of 1130 individuals meeting the inclusion criteria were studied for a median of 7 years. Of the 1130 individuals, 669 (59.2%) maintained a diagnosis of type 2/unspecified diabetes mellitus, 205 (18.1%) were consistently diagnosed as type 1 diabetes mellitus, and the remaining 256 individuals (22.7%) were misclassified. Insulin treatment was used in 100% of the type 1 diabetes mellitus group and 73% of the misclassified group. Compared with the type 2 diabetes mellitus group, being misclassified was associated with earlier development of DKA (adjusted hazard ratio [aHR] 5.08, 95% confidence interval [CI] 3.09-8.37), neuropathy (aHR 1.94, CI 1.31-2.88), and nephropathy (aHR 1.72, CI 1.19-2.50), whereas being consistently classified with type 1 diabetes mellitus was associated only with earlier development of DKA (aHR 4.96, CI 2.56-9.61). CONCLUSIONS: Proper categorization of pediatric diabetes can be challenging, especially with comorbid obesity. Failure to ascertain type 1 diabetes mellitus in a timely manner in a pediatric population may increase the risk of substandard care and diabetes-related complications.


Subject(s)
Diabetes Mellitus, Type 1/diagnosis , Diagnostic Errors/statistics & numerical data , Adolescent , Child , Child, Preschool , Diabetes Complications/epidemiology , Diabetes Complications/etiology , Diabetes Mellitus, Type 2/diagnosis , Diabetic Ketoacidosis/epidemiology , Diabetic Ketoacidosis/etiology , Diabetic Nephropathies/epidemiology , Diabetic Nephropathies/etiology , Diabetic Neuropathies/epidemiology , Diabetic Neuropathies/etiology , Diagnostic Errors/adverse effects , Female , Humans , Male , Prevalence , Retrospective Studies , Risk Factors , South Carolina/epidemiology
5.
Article in English | MEDLINE | ID: mdl-27733957

ABSTRACT

BACKGROUND: Musculoskeletal injuries may be associated with attention-deficit/hyperactivity disorder (ADHD) symptom severity, comorbid psychiatric or medical conditions, and the prescribed psychostimulant. METHODS: A population-based, retrospective cohort design was employed using South Carolina's Medicaid claims data set covering outpatient and inpatient medical services and medication prescriptions over an 11-year period (January 1, 1996, through December 31, 2006) for patients ≤ 17 years of age with ≥ 2 visits for ICD-9-CM diagnostic codes for ADHD. A cohort of 7,725 cases was identified and analyzed using logistic regression to compare risk factors for those who sustained focal musculoskeletal injuries and those who did not. RESULTS: The risk of sustaining sprains, arthropathy and connective tissue disorders, or muscle and joint disorders was significantly related to being diagnosed with comorbid hypertension (adjusted odds ratios [aORs] = 1.60, 2.09, and 1.46, respectively) and a substance use disorder (aORs = 1.58, 1.38, and 1.28). Having a substance use disorder was also related to incident fractures and dorso/spinal injuries (aORs = 1.42 and 1.21). Diagnosed hypertension was related to incident concussions (aOR = 2.00), a diagnosed thyroid disorder was related to an increased risk of sprain and concussion (aORs = 1.44 and 2.05), a diagnosed anxiety disorder was related to an increased risk of dorso/spinal disorders (aOR = 1.71), and diagnosed diabetes was related to incident bone and cartilage disorders (aOR = 1.61). CONCLUSIONS: Comorbid hypertension, substance use disorders, and thyroid disorders deserve increased clinical surveillance in children and adolescents with ADHD because they may be associated with an increased risk of more than one musculoskeletal injury.


Subject(s)
Attention Deficit Disorder with Hyperactivity/epidemiology , Musculoskeletal System/injuries , Adolescent , Attention Deficit Disorder with Hyperactivity/drug therapy , Central Nervous System Stimulants/therapeutic use , Child , Comorbidity , Female , Humans , Logistic Models , Male , Multivariate Analysis , Odds Ratio , Retrospective Studies , Risk Factors , Severity of Illness Index , South Carolina/epidemiology
6.
J S C Med Assoc ; 109(4): 116-20, 2013 Dec.
Article in English | MEDLINE | ID: mdl-24908910

ABSTRACT

OBJECTIVE: This study was developed as a pilot study to determine if targeted interventions regarding increasing physical activity level through the use of pedometers and fitness DVDs would result in a decrease in BMI in overweight or obese children. METHODS: 24 children aged 4-17 taking part in "Moving and Losing" were randomized to (1) Control Group; (2) Pedometer Group; (3) DVD Group; (4) Pedometer + DVD Group and asked to complete self-report physical activity logs at visit one and two. Baseline, midpoint, and endpoint weight, height, Body Mass Index (BMI) were measured for outcome variables. RESULTS: Almost half (42%) of participants turned in their activity logs and pedometers at midpoint, but at endpoint less than a quarter of participants turned in their pedometers and/or activity logs. BMI increased by 4.1% in the Control Group, 8.7% in the Pedometer Group, and 6.7% in the DVD Group. BMI decreased by 0.3% in the Pedometer + DVD Group. CONCLUSION: The use of pedometers and fitness DVDs may not be culturally acceptable in African-American female children and adolescents from South Carolina who are overweight or obese. Further studies should look into in-depth needs assessments and planning processes that include participants as stakeholders.


Subject(s)
Exercise , Pediatric Obesity/prevention & control , Walking , Adolescent , Child , Child, Preschool , Female , Humans , Male , Monitoring, Ambulatory/instrumentation , Pilot Projects , Weight Loss
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