1
|
Associations of Serum Total 25OHD, 25OHD3, and epi-25OHD3 with Insulin Resistance: Cross-Sectional Analysis of the National Health and Nutrition Examination Survey, 2011–2016. Nutrients 2022; 14:nu14173526. [PMID: 36079784 PMCID: PMC9459885 DOI: 10.3390/nu14173526] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Revised: 08/23/2022] [Accepted: 08/23/2022] [Indexed: 11/29/2022] Open
Abstract
Background: Vitamin D may have a role in insulin sensitivity. However, the data on the association between various metabolites of Vitamin D and insulin-related parameters have been limited. Methods: We identified 6026 adults aged 20–80 years who participated in the 2011–2016 National Health and Nutrition Examination Survey (NHANES). Serum total 25OHD, 25OHD3, and epi-25OHD3, fasting glucose, insulin, and HOMA2-IR were obtained from the NHANES data. The association between serum Vitamin D-related values and insulin resistance was analyzed using a generalized linear model. For risk analysis, multifactorial logistic regression was used. Results: The median total 25-hydroxyvitamin D level, 25-hydroxyvitamin D3 level, and 3-epi-25-hydroxyvitamin D3 level were 62.5 nmol/L, 58.8 nmol/L, and 3.3 nmol/L, respectively. After adjustment for sex, age, race, ethnicity, and education status, the ORs for the insulin resistance of participants of total 25-hydroxyvitamin D, 25-hydroxyvitamin D3, and 3-epi-25-hydroxyvitamin D3 were 0.32 (95% CI 0.24, 0.43), 0.34 (95% CI 0.26, 0.44), and 0.64 (95% CI 0.53, 0.77), respectively. After an adjustment for body mass index, diabetes, and drinking and smoking, the ORs for the insulin resistance of the participants for total 25-hydroxyvitamin D, 25-hydroxyvitamin D3, and 3-epi-25-hydroxyvitamin D3 were 0.56 (95% CI 0.40, 0.78), 0.63 (95% CI 0.46, 0.85), and 0.99 (95% CI 0.80, 1.24), respectively. Conclusions: Our study provides suggestive evidence for the association between Vitamin D concentrations and a lower risk of insulin resistance. Evidence from larger and more adequately powered cohort studies is needed to confirm our results.
Collapse
|
2
|
Prevalence of Vitamin D Deficiency and Its Association with Insulin Resistance in Obese Women with Normal Fasting Glucose. BIOMED RESEARCH INTERNATIONAL 2021; 2021:2259711. [PMID: 34950730 PMCID: PMC8691995 DOI: 10.1155/2021/2259711] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/02/2021] [Revised: 11/24/2021] [Accepted: 12/06/2021] [Indexed: 11/22/2022]
Abstract
Results A total of 264 obese and 133 normal BMI women (controls) of age range 20-50 years were selected. Obese women had significantly lower vitamin D compared to control women (P < 0.05). Among euglycemic (fasting glucose < 100 mg/dl) obese women (n = 221), 90 (40.7%) were vitamin D deficient. Serum PTH and calcium levels were negatively correlated, though nonsignificantly with vitamin D (r = −0.172, P = 0.090, and r = −0.051, P = 0.557, respectively). The mean age, BMI, waist circumference (WC), hip circumference (HC), waist-to-hip ratio (WHR), fasting glucose, fasting insulin, PTH, and calcium were not significantly different in vitamin D-deficient as compared to nondeficient obese women. IR was detected in 109 (49.3%) obese women. Mean HOMA-IR in vitamin D-deficient women was significantly higher than that in the nondeficient obese women (3.03 ± 1.64 vs. 2.40 ± 1.02; P = 0.041), but the percentage of women with IR was comparable in both groups (51.1% vs. 45.8%; P = 0.745). Univariate analysis revealed that HOMA-IR was negatively correlated with vitamin D and positively with BMI and PTH. A multivariate regression analysis, stepwise method revealed that BMI and PTH were independent determinants of HOMA-IR instead of vitamin D. Conclusion More than 40% of obese women were vitamin D deficient. Among euglycemic obese women, 49% were insulin resistant. Prevalence of insulin resistance, though negatively correlated with vitamin D, could be better explained by BMI and PTH levels.
Collapse
|
3
|
Abstract
Introduction Introduction: whether hypovitaminosis D is an overarching cause of increased mortality or a prognostic marker of poor health has not been well elucidated. Objectives: we sought to determine the association of serum 25-hydroxyvitamin D [25-(OH)-D3] levels with the clinical biochemical parameters and mortality risk in chronic diseases. Methods: we reviewed the clinical charts and collected the clinical biochemical parameters of patients diagnosed with chronic conditions who had at least one 25-(OH)-D3 determination, with or without calcium and vitamin D supplementation, and who were selected using a cluster random sampling design (n = 1,705). The analysis was focused on metabolic disorders (type-2 diabetes mellitus [T2DM] and obesity), autoimmune disorders, and mortality. Multivariate logistic regression analyses were performed. Results: low 25-(OH)-D3 levels were reported in 1,433 (84.0%) patients, of which 774 (45.4%) had insufficiency (20-29 ng/mL) and 659 (38.6%) patients had deficiency (< 20 ng/mL). Lower 25-(OH)-D3 levels in T2DM patients were associated with higher glycosylated hemoglobin levels (p < 0.001). Patients with 25-(OH)-D3 levels < 12.5 ng/mL had a higher mortality risk than those with levels ≥ 12.5 ng/mL (HR: 3.339; 95% CI: 1.342-8.308). We observed lower 25-(OH)-D3 levels in patients with grade-III obesity (p = 0.01). We found a higher risk of 25-(OH)-D3 deficiency in rheumatoid arthritis, type-1 diabetes, and systemic lupus erythematosus (p = 0.032, p = 0.002, p = 0.049, respectively). Conclusions: we found a significant relationship between 25-(OH)-D3 levels and glycemic control, body mass index, autoimmune disease, and mortality risk. Nevertheless, whether hypovitaminosis D plays a causal role or is a consequence of chronic disease remains controversial.
Collapse
|
4
|
Zhuo Y, Ling L, Sun Z, Huang W, Hong Z, Zhang Y, Peng X, Liu X, Yuan W, Xu WY, Zhang Y. Vitamin D and iodine status was associated with the risk and complication of type 2 diabetes mellitus in China. Open Life Sci 2021; 16:150-159. [PMID: 33817307 PMCID: PMC7968538 DOI: 10.1515/biol-2021-0019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Revised: 11/23/2020] [Accepted: 12/23/2020] [Indexed: 11/15/2022] Open
Abstract
The purpose of this study was to assess the relationship between 25-hydroxyvitamin D (25(OH)D), urinary iodine concentration (UIC), and type 2 diabetes mellitus (T2DM) risk and complications and to establish a model to predict T2DM in the general population. A total of 567 adults (389 T2DM patients and 178 controls) were enrolled, and the levels of 25(OH)D, iodine, and blood biochemical parameters were measured. Pearson’s correlation analysis showed an inverse correlation between 25(OH)D level, UIC, and T2DM risk. Low 25(OH)D level was a risk factor for developing T2DM (OR, 0.81; 95% CI, 1.90–2.63; P = 0.043) after adjustment for multiple risk factors. 25(OH)D level and UIC were inversely correlated with short-term and long-term glucose levels. 25(OH)D deficiency was also associated with a high incidence of T2DM complicated with thyroid dysfunction. A prediction model based on 25(OH)D, iodine status, and other risk factors was established and recommended to screen high-risk T2DM in the general population and provide early screening and timely treatment for them.
Collapse
Affiliation(s)
- Yafen Zhuo
- Department of Endocrinology, Quanzhou First Hospital Affiliated to Fujian Medical University, No. 250, East Street, Licheng District, Quanzhou, 362300, Fujian, China
| | - Lin Ling
- Department of Endocrinology, Quanzhou First Hospital Affiliated to Fujian Medical University, No. 250, East Street, Licheng District, Quanzhou, 362300, Fujian, China
| | - Zhichun Sun
- Department of Endocrinology, Quanzhou First Hospital Affiliated to Fujian Medical University, No. 250, East Street, Licheng District, Quanzhou, 362300, Fujian, China
| | - Wensen Huang
- Department of Internal Medicine, Quanzhou Medical College, Quanzhou, 362300, China
| | - Zhenzhen Hong
- Department of Endocrinology, Quanzhou First Hospital Affiliated to Fujian Medical University, No. 250, East Street, Licheng District, Quanzhou, 362300, Fujian, China
| | - Yaping Zhang
- Department of Endocrinology, Quanzhou First Hospital Affiliated to Fujian Medical University, No. 250, East Street, Licheng District, Quanzhou, 362300, Fujian, China
| | - Xuefeng Peng
- Department of Endocrinology, Quanzhou First Hospital Affiliated to Fujian Medical University, No. 250, East Street, Licheng District, Quanzhou, 362300, Fujian, China
| | - Xiaoyu Liu
- Department of Oncology, Quanzhou First Hospital Affiliated to Fuji Medical University, Quanzhou, 362300, China
| | - Weilan Yuan
- Department of Information Technology, Biotecan Medical Diagnostics Co., Ltd, Zhangjiang Center for Translational Medicine, Shanghai, 201204, China
| | - Wang-Yang Xu
- Medical Department, Singlera Genomics Inc., Lane 500, Furonghua Road, Pudong New District, Shanghai, 201318, China
| | - Yi Zhang
- Department of Endocrinology, Quanzhou First Hospital Affiliated to Fujian Medical University, No. 250, East Street, Licheng District, Quanzhou, 362300, Fujian, China
| |
Collapse
|
5
|
Ehrampoush E, Mirzay Razzaz J, Arjmand H, Ghaemi A, Raeisi Shahraki H, Ebrahim Babaei A, Osati S, Homayounfar R. The association of vitamin D levels and insulin resistance. Clin Nutr ESPEN 2021; 42:325-332. [PMID: 33745601 DOI: 10.1016/j.clnesp.2021.01.012] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2020] [Revised: 12/19/2020] [Accepted: 01/10/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVE Vitamin D deficiency and insulin resistance have great prevalence in society. The latest studies indicate an inverse association between Vitamin D levels, insulin resistance, and Type 2 diabetes. The objective of this study was to investigate the effect of vitamin D status on insulin resistance. METHODS In a cross-sectional study, 2160 participants were randomly recruited from a nutrition clinic in Tehran, Iran, 1057 (48.9%) were female and 1103 (51.1%) male. Information was gathered by a questionnaire. Following 12-h fasting, fasting plasma glucose (FPG) and insulin levels, as well as 25-hydroxy vitamin D levels were measured. 2-H glucose and insulin levels measured after consumption of 75 g glucose, HOMA2-IR, and HOMA-β indices were then calculated. RESULTS The average serum Vitamin D was 22.3 + 8.9 nmol/L and the prevalence of Vitamin D deficiency was 100%. There was an inverse relationship between Vitamin D levels and age, BMI, waist circumference, and all metabolic parameters (p < 0.001 in all) and a direct association with levels of exercise. Two logistic regression models were used to adjust for confounding variables; firstly, for age, gender, and smoking and secondly, additionally for BMI and energy intake. Both models showed a significant inverse relationship between Vitamin D levels and FPG and insulin levels, 2-h glucose and insulin levels, and HOMA2-IR. The optimum cut point for vitamin D was calculated at about 25 nmol/L for preventing insulin resistance. CONCLUSION This study illustrated that there is a statistically significant inverse relationship between Vitamin D levels and insulin resistance.
Collapse
Affiliation(s)
- Elham Ehrampoush
- Noncommunicable Diseases Research, Fasa University of Medical Sciences, Fasa, Iran
| | - Jalaledin Mirzay Razzaz
- National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Hossein Arjmand
- Students Research Committee, Fasa University of Medical Sciences, Fasa, Iran
| | - Alireza Ghaemi
- Department of Basic Sciences and Nutrition, Health Sciences Research Center, Addiction Institute, Faculty of Public Health, Mazandaran University of Medical Sciences, Sari, Iran
| | - Hadi Raeisi Shahraki
- Department of Epidemiology and Biostatistics, Faculty of Health, Shahrekord University of Medical Sciences, Shahrekord, Iran
| | | | - Saeed Osati
- National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Reza Homayounfar
- Noncommunicable Diseases Research, Fasa University of Medical Sciences, Fasa, Iran; National Nutrition and Food Technology Research Institute, Faculty of Nutrition Sciences and Food Technology, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| |
Collapse
|
6
|
Wang L, Liu X, Hou J, Wei D, Liu P, Fan K, Zhang L, Nie L, Li X, Huo W, Jing T, Li W, Wang C, Mao Z. Serum Vitamin D Affected Type 2 Diabetes though Altering Lipid Profile and Modified the Effects of Testosterone on Diabetes Status. Nutrients 2020; 13:nu13010090. [PMID: 33396618 PMCID: PMC7823697 DOI: 10.3390/nu13010090] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2020] [Revised: 12/26/2020] [Accepted: 12/27/2020] [Indexed: 12/17/2022] Open
Abstract
Numerous studies have investigated the associations between serum vitamin D or testosterone and diabetes; however, inconsistencies are observed. Whether there is an interaction between vitamin D and testosterone and whether the lipid profile (total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C)) mediates the association between vitamin D and diabetes is unclear. To investigate the effect of vitamin D and testosterone on impaired fasting glucose (IFG) or type 2 diabetes mellitus (T2DM), 2659 participants from the Henan Rural Cohort were included in the case-control study. Generalized linear models were utilized to estimate associations of vitamin D with IFG or T2DM and interactive effects of vitamin D and testosterone on IFG or T2DM. Principal component analysis (PCA) and mediation analysis were used to estimate whether the lipid profile mediated the association of vitamin D with IFG or T2DM. Serum 25(OH)D3, 25(OH)D2, and total 25(OH)D levels were negatively correlated with IFG (odds ratios (ORs) (95% confidence intervals (CIs)): 0.99 (0.97, 1.00), 0.85 (0.82, 0.88), and 0.97 (0.96, 0.98), respectively). Similarity results for associations between serum 25(OH)D2 and total 25(OH)D with T2DM (ORs (95%CIs): 0.84 (0.81, 0.88) and 0.97 (0.96, 0.99)) were observed, whereas serum 25(OH)D3 was negatively correlated to T2DM only in the quartile 2 (Q2) and Q3 groups (both p < 0.05). The lipid profile, mainly TC and TG, partly mediated the relationship between 25(OH)D2 or total 25(OH)D and IFG or T2DM and the proportion explained was from 2.74 to 17.46%. Furthermore, interactive effects of serum 25(OH)D2, total 25(OH)D, and testosterone on T2DM were observed in females (both p for interactive <0.05), implying that the positive association between serum testosterone and T2DM was vanished when 25(OH)D2 was higher than 10.04 ng/mL or total 25(OH)D was higher than 40.04 ng/mL. Therefore, ensuring adequate vitamin D levels could reduce the prevalence of IFG and T2DM, especially in females with high levels of testosterone.
Collapse
Affiliation(s)
- Lulu Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, China; (L.W.); (X.L.); (J.H.); (D.W.); (P.L.); (K.F.); (L.Z.); (C.W.)
| | - Xue Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, China; (L.W.); (X.L.); (J.H.); (D.W.); (P.L.); (K.F.); (L.Z.); (C.W.)
| | - Jian Hou
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, China; (L.W.); (X.L.); (J.H.); (D.W.); (P.L.); (K.F.); (L.Z.); (C.W.)
| | - Dandan Wei
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, China; (L.W.); (X.L.); (J.H.); (D.W.); (P.L.); (K.F.); (L.Z.); (C.W.)
| | - Pengling Liu
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, China; (L.W.); (X.L.); (J.H.); (D.W.); (P.L.); (K.F.); (L.Z.); (C.W.)
| | - Keliang Fan
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, China; (L.W.); (X.L.); (J.H.); (D.W.); (P.L.); (K.F.); (L.Z.); (C.W.)
| | - Li Zhang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, China; (L.W.); (X.L.); (J.H.); (D.W.); (P.L.); (K.F.); (L.Z.); (C.W.)
| | - Luting Nie
- Department of Occupational and Environmental Health Sciences, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, China; (L.N.); (W.H.)
| | - Xing Li
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, China; (X.L.); (W.L.)
| | - Wenqian Huo
- Department of Occupational and Environmental Health Sciences, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, China; (L.N.); (W.H.)
| | - Tao Jing
- School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430074, Hubei, China;
| | - Wenjie Li
- Department of Nutrition and Food Hygiene, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, China; (X.L.); (W.L.)
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, China; (L.W.); (X.L.); (J.H.); (D.W.); (P.L.); (K.F.); (L.Z.); (C.W.)
| | - Zhenxing Mao
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou 450001, Henan, China; (L.W.); (X.L.); (J.H.); (D.W.); (P.L.); (K.F.); (L.Z.); (C.W.)
- Correspondence: ; Tel.: +86-371-67781452
| |
Collapse
|
7
|
Al‐Mohaissen MA, Lee T, Alamri AF. Vitamin D levels, prediabetes risk and hemoglobin A1c levels in young non-diabetic Saudi women. J Diabetes Investig 2020; 11:1344-1351. [PMID: 32017439 PMCID: PMC7477525 DOI: 10.1111/jdi.13226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2019] [Revised: 01/24/2020] [Accepted: 02/02/2020] [Indexed: 11/30/2022] Open
Abstract
AIMS/INTRODUCTION Vitamin D levels are negatively correlated with prediabetes risk and hemoglobin A1c levels in individuals with prediabetes. The data are, however, scarce and inconsistent among different populations. We aimed to assess the association of vitamin D with prediabetes risk and hemoglobin A1c levels in young Saudi women with normoglycemia and prediabetes. MATERIALS AND METHODS We analyzed the data of individuals without diabetes (without diabetes history and hemoglobin A1c <6.4%) from the Princess Nourah bint Abdulrahman University's non-communicable diseases student registry. Demographic data, anthropometric and blood pressure measurements, and hemoglobin A1c and vitamin D results were retrieved and analyzed. RESULTS In total, 345 participants were included in the analysis. The prediabetes status showed no association with vitamin D levels, but it was significantly associated with the participants' weight and body mass index. Additionally, there was no correlation between the levels of vitamin D and hemoglobin A1c across the whole population, even after correction for body mass index. However, in the body mass index subgroups, when individuals with potentially harmful levels of vitamin D (>125 nmol/L) were excluded, a positive association was detected between vitamin D and hemoglobin A1c levels in the underweight individuals. Hemoglobin A1c values showed a positive correlation only with bodyweight and body mass index. CONCLUSIONS Vitamin D levels did not predict prediabetes status and showed no correlation with hemoglobin A1c levels in this population. Vitamin D levels' effect on the risk of prediabetes might be small compared with other well-established risk factors, such as obesity.
Collapse
Affiliation(s)
- Maha A Al‐Mohaissen
- Department of Clinical Sciences, CardiologyPrincess Nourah Bint Abdulrahman UniversityRiyadhSaudi Arabia
- Princess Nourah Bint Abdulrahman University Cardiovascular Disease in Women Research ChairRiyadhSaudi Arabia
| | - Terry Lee
- Center for Health Evaluation and Outcome SciencesVancouverBritish ColumbiaCanada
| | - Ali Faris Alamri
- Department of Family MedicineKing Abdullah bin Abdulaziz University HospitalPrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia
| |
Collapse
|
8
|
Zhang X, Chen M, Duan R, Xue H, Luo J, Lv X, Jia H, He F, Zhang L, Cheng G. The Nutrition and Health in Southwest China (NHSC) study: design, implementation, and major findings. Eur J Clin Nutr 2020; 75:299-306. [PMID: 32801308 PMCID: PMC7872891 DOI: 10.1038/s41430-020-00703-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2019] [Revised: 06/17/2020] [Accepted: 08/04/2020] [Indexed: 11/09/2022]
Abstract
BACKGROUND There are few studies of nutritional and genetic factors and their interactions on the risk of noncommunicable diseases (NCDs) among Chinese adults. OBJECTIVE Our aim for the Nutrition and Health in Southwest China (NHSC) study is to investigate the impact of diet, lifestyle, genetic background, and their interactions on NCDs among adults in Southwest China. METHODS The NSHC is a prospective cohort study initiated in winter 2013. The baseline data collection was completed in December 2018, and follow-ups are conducted every 2 years. Information on genomics, anthropometry, nutrition, eating behaviors, physical activity, depression and mental disorders, clinical and biochemical examinations, and lifestyles was collected. RESULTS 7926 adults completed the baseline questionnaire. The average age of participants was 42.6 (9.8) years at study enrollment. More than half were female, 37.2% had achieved more than 12 years of education, and 49.3% of them came from family income >35,000 Yuan. Our analyses of the baseline data suggested that adults with greater dietary energy density appeared to have greater body mass index, fat mass index, fat-free mass index and percentage body fat, and that participants with a higher level of dietary glycemic index, glycemic load, or serum 25(OH)D had a less favorable glucose homeostasis. In addition, spending less time watching television and having a healthy eating pattern may play significant roles in later cellular aging. CONCLUSIONS In conclusion, the NHSC cohort provides valuable data for investigations of the relevance of gene, nutrition, lifestyles, and their interactions on NCDs among southwestern Chinese adults.
Collapse
Affiliation(s)
- Xiao Zhang
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, PR China
| | - Mengxue Chen
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, PR China
| | - Ruonan Duan
- West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, PR China
| | - Hongmei Xue
- West China School of Public Health and Healthy Food Evaluation Research Center, Sichuan University, Chengdu, PR China.,College of Public Health, Hebei University, Baoding, PR China
| | - Jiao Luo
- West China School of Public Health and Healthy Food Evaluation Research Center, Sichuan University, Chengdu, PR China
| | - Xiaohua Lv
- West China School of Public Health and Healthy Food Evaluation Research Center, Sichuan University, Chengdu, PR China
| | - Hong Jia
- Department of Epidemiology and Biostatistics, School of Public Health, Southwest Medical University, Luzhou, PR China
| | - Fang He
- West China School of Public Health and Healthy Food Evaluation Research Center, Sichuan University, Chengdu, PR China
| | - Lishi Zhang
- West China School of Public Health and Healthy Food Evaluation Research Center, Sichuan University, Chengdu, PR China
| | - Guo Cheng
- Laboratory of Molecular Translational Medicine, Center for Translational Medicine, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, PR China. .,West China School of Nursing, Sichuan University, Chengdu, Sichuan, PR China.
| |
Collapse
|