Older Chinese and Filipino American Immigrants with Type 2 Diabetes and their Adult Child: A Qualitative Dyadic Exploration of Family Support

Peregrina, Hillary Nicole; Bayog, Maria L. G.; Pagdilao, Adam; Bender, Melinda S.; Doan, Therese; Yoo, Grace J.

doi:10.1007/s10823-024-09505-w

Cited by 1 publication

(1 citation statement)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…( 2 ), which is very harmful. The data released by the international diabetes alliance in 2021 shows that about 537 million people aged 20–79 in the world suffer from T2DM (accounting for 10.5% of the total population), and the number is expected to rise to 783 million by 2024, which will bring a heavy burden to the global social and economic development ( 3 ). The incidence rate of T2DM in China is about 11.2%, ranking first in the world in terms of the number of patients.…”

Section: Introductionmentioning

confidence: 99%

Construction of a 3-year risk prediction model for developing diabetes in patients with pre-diabetes

Yang,

Liu,

et al. 2024

Front. Endocrinol.

View full text Add to dashboard Cite

IntroductionTo analyze the influencing factors for progression from newly diagnosed prediabetes (PreDM) to diabetes within 3 years and establish a prediction model to assess the 3-year risk of developing diabetes in patients with PreDM.MethodsSubjects who were diagnosed with new-onset PreDM at the Physical Examination Center of the First Affiliated Hospital of Soochow University from October 1, 2015 to May 31, 2023 and completed the 3-year follow-up were selected as the study population. Data on gender, age, body mass index (BMI), waist circumference, etc. were collected. After 3 years of follow-up, subjects were divided into a diabetes group and a non-diabetes group. Baseline data between the two groups were compared. A prediction model based on logistic regression was established with nomogram drawn. The calibration was also depicted.ResultsComparison between diabetes group and non-diabetes group: Differences in 24 indicators including gender, age, history of hypertension, fatty liver, BMI, waist circumference, systolic blood pressure, diastolic blood pressure, fasting blood glucose, HbA1c, etc. were statistically significant between the two groups (P<0.05). Differences in smoking, creatinine and platelet count were not statistically significant between the two groups (P>0.05). Logistic regression analysis showed that ageing, elevated BMI, male gender, high fasting blood glucose, increased LDL-C, fatty liver, liver dysfunction were risk factors for progression from PreDM to diabetes within 3 years (P<0.05), while HDL-C was a protective factor (P<0.05). The derived formula was: In(p/1-p)=0.181×age (40-54 years old)/0.973×age (55-74 years old)/1.868×age (≥75 years old)-0.192×gender (male)+0.151×blood glucose-0.538×BMI (24-28)-0.538×BMI (≥28)-0.109×HDL-C+0.021×LDL-C+0.365×fatty liver (yes)+0.444×liver dysfunction (yes)-10.038. The AUC of the model for predicting progression from PreDM to diabetes within 3 years was 0.787, indicating good predictive ability of the model.ConclusionsThe risk prediction model for developing diabetes within 3 years in patients with PreDM constructed based on 8 influencing factors including age, BMI, gender, fasting blood glucose, LDL-C, HDL-C, fatty liver and liver dysfunction showed good discrimination and calibration.

show abstract

Section: Introductionmentioning

confidence: 99%