The Effect of FRAX on the Prediction of Osteoporotic Fractures in Urban Middle-aged and Elderly Healthy Chinese Adults

OBJECTIVE: We aimed to analyze the applicability of a fracture risk assessment tool for the prediction of osteoporotic fractures in middle-aged and elderly healthy Chinese adults. METHODS: A standard questionnaire was administered, and bone mineral density was measured in residents visiting the Dongliu Street Community Health Service Center. Paired t-tests were used to compare the FRAX-based probabilities of fractures estimated with and without consideration of bone mineral density. Risk stratification and partial correlation analyses were applied to analyze the associations between FRAX-based probabilities and body mass index or bone mineral density at different sites. RESULTS: A total of 444 subjects were included in this study. Of these subjects, 175 (39.59%) were diagnosed as osteoporotic, and 208 (47.06%) were diagnosed as osteopenic. The Kappa value for the detection of osteoporosis at the L1-L4 lumbar spine and femoral neck was 0.314. The FRAX-based 10-year major osteoporotic fracture probability and hip osteoporotic fracture probability estimated without considering bone mineral density were 4.93% and 1.64%, respectively; when estimated while considering bone mineral density, these probabilities were 4.97% and 1.54%, respectively. A significant positive association was observed between the FRAX-based fracture probabilities estimated with and without consideration of bone mineral density, while significant negative associations between body mass index and the estimated FRAX-based fracture probabilities after adjustment for age and the estimated FRAX-based fracture probabilities and femoral neck bone mineral density were identified. These results remained the same after controlling for lumbar spine bone mineral density. CONCLUSIONS: The Chinese FRAX model could predict osteoporotic fracture risk regardless of whether bone mineral density was considered and was especially appropriate for predicting osteoporotic fractures of the femoral neck

Comparisons of serum miRNA expression profiles in patients with diabetic retinopathy and type 2 diabetes mellitus

OBJECTIVES: The aim of this study was to compare the expression levels of serum miRNAs in diabetic retinopathy and type 2 diabetes mellitus. METHODS: Serum miRNA expression profiles from diabetic retinopathy cases (type 2 diabetes mellitus patients with diabetic retinopathy) and type 2 diabetes mellitus controls (type 2 diabetes mellitus patients without diabetic retinopathy) were examined by miRNA-specific microarray analysis. Quantitative real-time polymerase chain reaction was used to validate the significantly differentially expressed serum miRNAs from the microarray analysis of 45 diabetic retinopathy cases and 45 age-, sex-, body mass index- and duration-of-diabetes-matched type 2 diabetes mellitus controls. The relative changes in serum miRNA expression levels were analyzed using the 2-ΔΔCt method. RESULTS: A total of 5 diabetic retinopathy cases and 5 type 2 diabetes mellitus controls were included in the miRNA-specific microarray analysis. The serum levels of miR-3939 and miR-1910-3p differed significantly between the two groups in the screening stage; however, quantitative real-time polymerase chain reaction did not reveal significant differences in miRNA expression for 45 diabetic retinopathy cases and their matched type 2 diabetes mellitus controls. CONCLUSION: Our findings indicate that miR-3939 and miR-1910-3p may not play important roles in the development of diabetic retinopathy; however, studies with a larger sample size are needed to confirm our findings

Analysis of Land Use in Jining City

Jining City is a typical area with complex and diverse landforms, developed water systems and rich mineral resources. Research on its land use changes will be of great significance in terms of sustainable development and ecological protection. This paper is based on the four LANDSAT remote sensing image data in 2000, 2005, 2010 and 2015, using RS, GIS, mathematical statistics and other methods, mainly analyze the land use of Jining City from 2000 to 2015 from three aspects: land use structure, land use characteristics and problems, land use area and structure changes. The results show that: (1) Jining City has the largest area of dry land, which is widely distributed in various regions; followed by construction land, water, grass, woodland, paddy field, and unutilized land. (2) The land use characteristics of Jining City are: high arable land rate, high land utilization rate, large proportion of water area, abundant surface water resources, and obvious regional differences in land use; the problems are that the land use structure is unreasonable, per capita land resources are few, and the contradiction between people and land has become increasingly prominent. (3) On the whole, land use changes in Jining City are relatively complex. The town house area has been showing an increasing trend; the grass area has shown a continuous decreasing trend; the fluctuations of dry land, paddy field, woodland, house-site in the countryside, water, and unutilized land area fluctuations are obvious. During the 15 years from 2000 to 2015, the largest change in the land use structure of Jining City was town house, followed by paddy field, house-site in the countryside, dry land, grass, woodland, unutilized land, and water. The area of town house, dry land, forest land, and water has increased, while the area of paddy field, house-site in the countryside, grass, and unutilized land has decreased

The Effect of FRAX on the Prediction of Osteoporotic Fractures in Urban Middle-aged and Elderly Healthy Chinese Adults

OBJECTIVE: We aimed to analyze the applicability of a fracture risk assessment tool for the prediction of osteoporotic fractures in middle-aged and elderly healthy Chinese adults. METHODS: A standard questionnaire was administered, and bone mineral density was measured in residents visiting the Dongliu Street Community Health Service Center. Paired t-tests were used to compare the FRAX-based probabilities of fractures estimated with and without consideration of bone mineral density. Risk stratification and partial correlation analyses were applied to analyze the associations between FRAX-based probabilities and body mass index or bone mineral density at different sites. RESULTS: A total of 444 subjects were included in this study. Of these subjects, 175 (39.59%) were diagnosed as osteoporotic, and 208 (47.06%) were diagnosed as osteopenic. The Kappa value for the detection of osteoporosis at the L1-L4 lumbar spine and femoral neck was 0.314. The FRAX-based 10-year major osteoporotic fracture probability and hip osteoporotic fracture probability estimated without considering bone mineral density were 4.93% and 1.64%, respectively; when estimated while considering bone mineral density, these probabilities were 4.97% and 1.54%, respectively. A significant positive association was observed between the FRAX-based fracture probabilities estimated with and without consideration of bone mineral density, while significant negative associations between body mass index and the estimated FRAX-based fracture probabilities after adjustment for age and the estimated FRAX-based fracture probabilities and femoral neck bone mineral density were identified. These results remained the same after controlling for lumbar spine bone mineral density. CONCLUSIONS: The Chinese FRAX model could predict osteoporotic fracture risk regardless of whether bone mineral density was considered and was especially appropriate for predicting osteoporotic fractures of the femoral neck

Potatoes consumption and risk of type 2 diabetes: A meta-analysis

Background: Evidence of increased type 2 diabetes (T2D) risk associated with potatoes consumption is equivocal. We aimed to perform a meta-analyses on the association between potatoes consumption and T2D risk in prospective cohort studies. Methods: Studies published prior to 31 Aug 2016 were identified in PubMed, EMBASE, and Web of Science. Pooled relative risks (RR) and 95% confidence intervals (95%CI) based upon the highest vs. lowest category of potatoes consumption in each study were calculated in meta-analysis using random-effects models. Dose-response meta-analysis was fitted using generalized least squares regression in order to quantify the association between potatoes consumption and T2D risk. Results: The pooled RR comparing the highest vs. lowest category of potato consumption was 1.077 (95%CI: 1.005, 1.155). Dose-response meta-analysis revealed T2D risk increased 3.5% (RR=1.035, 95% CI: 1.004-1.067) for additional three serving per week serving of potato. The pooled RR comparing the highest vs. lowest category of French fries consumption was 1.362 (95%CI: 1.004, 1.850). Dose-response meta-analysis indicated T2D risk increased 18.7% (RR = 1.187, 95% CI: 1.067-1.321) for additional three serving per week of French fries. Conclusion: This meta-analysis support a significant positive association between high potatoes consumption and risk of T2D, especially the consumption of French fries

Does body mass index and adult height influence cancer incidence among Chinese living with incident type 2 diabetes?

Background: We investigated the site-specific cancer incidence risks among participants living with newly diagnosed type 2 diabetes (T2D) in relation to body mass index (BMI) and height. Methods: The sample consisted of 25,130 participants living in Ningbo (China) who were newly diagnosed with T2D between 01/01/2006 and 12/31/2007 but without cardiovascular disease or cancer diagnoses at baseline. Follow-up of the sample was from 01/01/2008 to 12/31/2014. Cancer incidence stratified by BMI categories and quartiles of height were analyzed using standardized incidence ratios (SIR; the ratio of observed to the expected number of diagnosed cases) with 95% confidence intervals (95%CI). Results: Follow-up included 22,795 participants, 155,845 person-years and 1063 cancer diagnoses. Compared with the general population of Ningbo, SIRs of all-cancer were 2.19 (95% CI: 2.01-2.37) for males and 1.80 (95% CI: 1.64-1.96) for females. The all-cancer SIRs for participants in the normal BMI category was 1.13 (95% CI: 1.00-1.38). By comparison, the SIRs for the overweight and obese groups were 0.62 (95% CI: 0.26-0.95) and 0.35 (95% CI: 0.03-0.71), respectively. Besides, higher participants had higher all-cancer SIRs. For males, SIRs were 1.08 (95% CI: 0.88-1.27) and 2.41 (95% CI: 2.05-2.78) in the lowest and highest quartiles of height, respectively. For females, SIRs were 1.03 (95% CI: 0.72-1.35) and 2.01 (95% CI: 1.66-2.58) in the lowest and highest quartiles of height, respectively. Conclusion: In this sample of participants living with newly diagnosed T2D, cancer incidence was higher among those who were taller, but also lower among those with higher BMI

Does body mass index and adult height influence cancer incidence among Chinese living with incident type 2 diabetes?

Background: We investigated the site-specific cancer incidence risks among participants living with newly diagnosed type 2 diabetes (T2D) in relation to body mass index (BMI) and height. Methods: The sample consisted of 25,130 participants living in Ningbo (China) who were newly diagnosed with T2D between 01/01/2006 and 12/31/2007 but without cardiovascular disease or cancer diagnoses at baseline. Follow-up of the sample was from 01/01/2008 to 12/31/2014. Cancer incidence stratified by BMI categories and quartiles of height were analyzed using standardized incidence ratios (SIR; the ratio of observed to the expected number of diagnosed cases) with 95% confidence intervals (95%CI). Results: Follow-up included 22,795 participants, 155,845 person-years and 1063 cancer diagnoses. Compared with the general population of Ningbo, SIRs of all-cancer were 2.19 (95% CI: 2.01-2.37) for males and 1.80 (95% CI: 1.64-1.96) for females. The all-cancer SIRs for participants in the normal BMI category was 1.13 (95% CI: 1.00-1.38). By comparison, the SIRs for the overweight and obese groups were 0.62 (95% CI: 0.26-0.95) and 0.35 (95% CI: 0.03-0.71), respectively. Besides, higher participants had higher all-cancer SIRs. For males, SIRs were 1.08 (95% CI: 0.88-1.27) and 2.41 (95% CI: 2.05-2.78) in the lowest and highest quartiles of height, respectively. For females, SIRs were 1.03 (95% CI: 0.72-1.35) and 2.01 (95% CI: 1.66-2.58) in the lowest and highest quartiles of height, respectively. Conclusion: In this sample of participants living with newly diagnosed T2D, cancer incidence was higher among those who were taller, but also lower among those with higher BMI

Comparisons of serum miRNA expression profiles in patients with diabetic retinopathy and type 2 diabetes mellitus

OBJECTIVES: The aim of this study was to compare the expression levels of serum miRNAs in diabetic retinopathy and type 2 diabetes mellitus. METHODS: Serum miRNA expression profiles from diabetic retinopathy cases (type 2 diabetes mellitus patients with diabetic retinopathy) and type 2 diabetes mellitus controls (type 2 diabetes mellitus patients without diabetic retinopathy) were examined by miRNA-specific microarray analysis. Quantitative real-time polymerase chain reaction was used to validate the significantly differentially expressed serum miRNAs from the microarray analysis of 45 diabetic retinopathy cases and 45 age-, sex-, body mass index- and duration-of-diabetes-matched type 2 diabetes mellitus controls. The relative changes in serum miRNA expression levels were analyzed using the 2-ΔΔCt method. RESULTS: A total of 5 diabetic retinopathy cases and 5 type 2 diabetes mellitus controls were included in the miRNA-specific microarray analysis. The serum levels of miR-3939 and miR-1910-3p differed significantly between the two groups in the screening stage; however, quantitative real-time polymerase chain reaction did not reveal significant differences in miRNA expression for 45 diabetic retinopathy cases and their matched type 2 diabetes mellitus controls. CONCLUSION: Our findings indicate that miR-3939 and miR-1910-3p may not play important roles in the development of diabetic retinopathy; however, studies with a larger sample size are needed to confirm our findings