1
|
Kim JY, Ilham S, Alshannaq H, Pollock RF, Ahmed W, Norman GJ, Jin SM, Kim JH. Real-time continuous glucose monitoring vs. self-monitoring of blood glucose: cost-utility in South Korean type 2 diabetes patients on intensive insulin. J Med Econ 2024:1-39. [PMID: 39275990 DOI: 10.1080/13696998.2024.2405293] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2024] [Revised: 09/03/2024] [Accepted: 09/13/2024] [Indexed: 09/16/2024]
Abstract
AIMS This study investigated the cost-utility of real-time continuous glucose monitoring (rt-CGM) versus self-monitoring of blood glucose (SMBG) in people with type 2 diabetes (T2D) receiving intensive insulin therapy in South Korea. METHODS The IQVIA Core Diabetes Model (CDM v9.5) was used, with clinical effectiveness data obtained from a large-scale real world study. Costs were obtained from South Korean sources and inflated to 2022 South Korean Won (KRW). A South Korean payer perspective was adopted over a lifetime horizon, with future costs and effects discounted at 4.5% per annum. Baseline characteristics included a mean baseline HbA1c level of 8.6% (71 mmol/mol), and a mean age of 64.4 years. A willingness-to-pay (WTP) threshold of KRW 46.0 million was used. RESULTS Rt-CGM led to an increase of 0.683 quality-adjusted life years (QALYs) versus SMBG (7.526 QALYs for rt-CGM versus 6.843 QALYs for SMBG). An increase in costs of KRW 16.4 million (from KRW 90.4 million to KRW 106.8 million) was associated with rt-CGM. The incremental cost-utility ratio was KRW 24.0 million per QALY gained, significantly lower than the KRW 46 million threshold. CONCLUSIONS For individuals with T2D managed by intensive insulin therapy in South Korea, rt-CGM is cost-effective relative to SMBG.
Collapse
Affiliation(s)
- Ji Yoon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | | | - Hamza Alshannaq
- Dexcom, San Diego, CA, USA
- University of Cincinnati College of Medicine, Cincinnati, OH, USA
| | | | | | | | - Sang-Man Jin
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| | - Jae Hyeon Kim
- Division of Endocrinology and Metabolism, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
| |
Collapse
|
2
|
Kang Y, Kang M, Lim H. Age-specific association between meal-skipping patterns and the risk of hyperglycemia in Korean adults: a national cross-sectional study using the KNHANES data. BMC Public Health 2024; 24:1697. [PMID: 38918764 PMCID: PMC11201090 DOI: 10.1186/s12889-024-18762-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 05/02/2024] [Indexed: 06/27/2024] Open
Abstract
BACKGROUND Glucose metabolism regulation is influenced by age and meal skipping, although research on their interplay with hyperglycemia remains limited. This study aims to explore the intricate relationship between meal-skipping patterns and hyperglycemia risk across distinct age groups in South Korean adults. METHODS Utilizing data from the Korea National Health and Nutrition Examination Surveys (KNHANES) conducted from 2013 to 2020, comprising 28,530 individuals aged 19 years and older, this study employed multivariable logistic regression models to examine the associations between meal-skipping patterns and the risk of hyperglycemia. RESULTS Meal-skipping patterns were categorized into three groups: no skipping (NS), skipping breakfast (SB), and skipping dinner (SD). Age groups were defined as "young" (aged 19-44), "middle-aged" (aged 45-64), and "elderly" adults (over 65 years old). Among "young" adults, SB was associated with a 1.33-fold higher risk of hyperglycemia (OR = 1.33, 95% CI = 1.14-1.54) compared to NS. Conversely, in "elderly" adults, SD was linked to a 0.49-fold reduced risk (95% CI = 0.29-0.82) when compared to NS. Additionally, we observed that the Korean Health Eating Index (KHEI) scores, representing the quality of diet on a scale of 0 to 100, were consistently lower in SB compared to NS across all age groups. Intriguingly, specifically among the "elderly" group, this score was higher in SD compared to NS (p < 0.001). CONCLUSIONS This study demonstrates age-specific variations in the association between meal-skipping patterns and the risk of hyperglycemia.
Collapse
Affiliation(s)
- Yeonji Kang
- Department of Medical Nutrition, Graduate School of East-West Medical Science, Kyung Hee University, Yongin, 17104, Republic of Korea
| | - Minji Kang
- Department of Medical Nutrition, Graduate School of East-West Medical Science, Kyung Hee University, Yongin, 17104, Republic of Korea
- Research Institute of Medical Nutrition, Kyung Hee University, Seoul, 02447, Republic of Korea
| | - Hyunjung Lim
- Department of Medical Nutrition, Graduate School of East-West Medical Science, Kyung Hee University, Yongin, 17104, Republic of Korea.
- Research Institute of Medical Nutrition, Kyung Hee University, Seoul, 02447, Republic of Korea.
| |
Collapse
|
3
|
Bahadoran Z, Mirmiran P, Azizi F. Usual intake of dairy products and the chance of pre-diabetes regression to normal glycemia or progression to type 2 diabetes: a 9-year follow-up. Nutr Diabetes 2024; 14:15. [PMID: 38594262 PMCID: PMC11004158 DOI: 10.1038/s41387-024-00257-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2022] [Revised: 03/16/2023] [Accepted: 01/09/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND We assessed the possible effect of usual dairy consumption on pre-diabetes (Pre-DM) remission or progression to type 2 diabetes (T2D). METHODS Pre-DM adults (n = 334, mean age of 49.4 years, and 51.5% men) were assessed for dairy intakes (2006-2008) and followed up to 9 years for incidence of T2D or normal glycemia (NG). All biochemical measurements were done at baseline and all subsequent examinations with 3-y follow-up intervals. Multinomial regression models with adjustment of confounding variables were used to estimate odds ratios (OR) and 95% confidence intervals (CIs) of incident T2D and NG for each serving/d dairy consumption. RESULTS The odds of NG was significantly elevated by 69% (OR = 1.69, 95% CI = 1.00-2.86, P = 0.05) per 200 g/d increased high-fat dairy intake, while the amount of total dairy or low-fat dairy was not related to the outcomes. Higher intakes of yogurt were more likely to be associated with an increased odds of NG (OR = 1.82, 95% CI = 1.20-2.74, P = 0.01). Usual intakes of milk, cheese, or cream-butter were not associated to Pre-DM remission or progression to T2D. CONCLUSION Regular dairy consumption may increase the chance of Pre-DM regression to NG.
Collapse
Affiliation(s)
- Zahra Bahadoran
- Nutrition and Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Parvin Mirmiran
- Department of Clinical Nutrition and Dietetics, Faculty of Nutrition and Food Technology, National Nutrition and Food Technology Research Institute, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| |
Collapse
|
4
|
Zhang S, Meng G, Zhang Q, Liu L, Wu H, Gu Y, Wang X, Zhang J, Sun S, Wang X, Zhou M, Jia Q, Song K, Borné Y, Sonestedt E, Ma L, Qi L, Niu K. Dairy intake and risk of type 2 diabetes: results of a large prospective cohort. Food Funct 2023; 14:9695-9706. [PMID: 37811566 DOI: 10.1039/d3fo02023a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]
Abstract
Background and aims: Previous studies of primarily Western populations have consistently documented a lower risk of type 2 diabetes (T2D) among people with a higher yogurt intake, but an inconsistent association with milk intake. However, little is known about the association between dairy intake and risk of T2D among Chinese adults who consume considerably less dairy (mainly milk and yogurt) compared with Western populations. The aim is to investigate the associations of dairy intake with the risk of incident T2D in the general adult population in China. Methods: This cohort study consisted of 22 843 participants without prevalent cardiovascular disease, cancer, or diabetes at the baseline. Dietary data were collected using a validated food frequency questionnaire at the baseline (2013-2018); dairy intake was categorized into tertiles after zero consumers were taken as the reference. Incident T2D was ascertained by medical examinations and self-report of physician-diagnosed diabetes during follow-up visits. Cox proportional hazards models were performed to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs). Results: In total, 735 incident T2D cases were recorded over a median follow-up of 4.0 years. Relative to zero consumers, the HRs (95% CIs) for incident T2D among participants in the highest tertiles were 0.70 (0.57, 0.87) for total dairy, 0.73 (0.60, 0.90) for milk, and 0.81 (0.66, 1.00) for yogurt. Such associations were slightly attenuated by additional adjustment for the body mass index. In addition, such inverse associations were robust in sensitivity analyses and consistent in most of the subgroups defined by baseline characteristics. Conclusion: Higher intakes of total dairy, milk, and yogurt were all associated with a lower risk of T2D among Chinese adults.
Collapse
Affiliation(s)
- Shunming Zhang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
| | - Ge Meng
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Qing Zhang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Li Liu
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Hongmei Wu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yeqing Gu
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
| | - Xuena Wang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Juanjuan Zhang
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
| | - Shaomei Sun
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Xing Wang
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Ming Zhou
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Qiyu Jia
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Kun Song
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
| | - Yan Borné
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Emily Sonestedt
- Nutritional Epidemiology, Department of Clinical Sciences Malmö, Lund University, Malmö, Sweden
| | - Le Ma
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, Shaanxi, China.
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kaijun Niu
- School of Public Health of Tianjin University of Traditional Chinese Medicine, Tianjin, China.
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China
- Department of Toxicology and Sanitary Chemistry, School of Public Health, Tianjin Medical University, Tianjin, China
- Health Management Centre, Tianjin Medical University General Hospital, Tianjin, China
- Nutrition and Radiation Epidemiology Research Center, Institute of Radiation Medicine, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China
- Tianjin Key Laboratory of Environment, Nutrition and Public Health, Tianjin, China
- Center for International Collaborative Research on Environment, Nutrition and Public Health, Tianjin, China
| |
Collapse
|
5
|
Zhang M, Dong X, Huang Z, Li X, Zhao Y, Wang Y, Zhu H, Fang A, Giovannucci EL. Cheese consumption and multiple health outcomes: an umbrella review and updated meta-analysis of prospective studies. Adv Nutr 2023; 14:1170-1186. [PMID: 37328108 PMCID: PMC10509445 DOI: 10.1016/j.advnut.2023.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Revised: 05/15/2023] [Accepted: 06/13/2023] [Indexed: 06/18/2023] Open
Abstract
This umbrella review aims to provide a systematic and comprehensive overview of current evidence from prospective studies on the diverse health effects of cheese consumption. We searched PubMed, Embase, and Cochrane Library to identify meta-analyses/pooled analyses of prospective studies examining the association between cheese consumption and major health outcomes from inception to August 31, 2022. We reanalyzed and updated previous meta-analyses and performed de novo meta-analyses with recently published prospective studies, where appropriate. We calculated the summary effect size, 95% prediction confidence intervals, between-study heterogeneity, small-study effects, and excess significance bias for each health outcome. We identified 54 eligible articles of meta-analyses/pooled analyses. After adding newly published original articles, we performed 35 updated meta-analyses and 4 de novo meta-analyses. Together with 8 previous meta-analyses, we finally included 47 unique health outcomes. Cheese consumption was inversely associated with all-cause mortality (highest compared with lowest category: RR = 0.95; 95% CI: 0.92, 0.99), cardiovascular mortality (RR = 0.93; 95% CI: 0.88, 0.99), incident cardiovascular disease (CVD) (RR = 0.92; 95% CI: 0.89, 0.96), coronary heart disease (CHD) (RR = 0.92; 95% CI: 0.86, 0.98), stroke (RR = 0.93; 95% CI: 0.89, 0.98), estrogen receptor-negative (ER-) breast cancer (RR = 0.89; 95% CI: 0.82, 0.97), type 2 diabetes (RR = 0.93; 95% CI: 0.88, 0.98), total fracture (RR = 0.90; 95% CI: 0.86, 0.95), and dementia (RR = 0.81; 95% CI: 0.66, 0.99). Null associations were found for other outcomes. According to the NutriGrade scoring system, moderate quality of evidence was observed for inverse associations of cheese consumption with all-cause and cardiovascular mortality, incident CVD, CHD, and stroke, and for null associations with cancer mortality, incident hypertension, and prostate cancer. Our findings suggest that cheese consumption has neutral to moderate benefits for human health.
Collapse
Affiliation(s)
- Mingjie Zhang
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xiaocong Dong
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zihui Huang
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xue Li
- Department of Big Data in Health Science School of Public Health, Center of Clinical Big Data and Analytics of The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yue Zhao
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Yingyao Wang
- Chinese Nutrition Society Academy of Nutrition and Health, Beijing, China.
| | - Huilian Zhu
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Aiping Fang
- Department of Nutrition, School of Public Health, Sun Yat-sen University, Guangzhou, China; Guangdong Provincial Key Laboratory of Food, Nutrition and Health, School of Public Health, Sun Yat-sen University, Guangzhou, China; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
| | - Edward L Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| |
Collapse
|
6
|
Yuzbashian E, Pakseresht M, Vena J, Chan CB. Association of dairy consumption patterns with the incidence of type 2 diabetes: Findings from Alberta's Tomorrow Project. Nutr Metab Cardiovasc Dis 2022; 32:2760-2771. [PMID: 36333201 DOI: 10.1016/j.numecd.2022.09.022] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 08/22/2022] [Accepted: 09/27/2022] [Indexed: 11/07/2022]
Abstract
BACKGROUND AND AIMS We aimed to extract dairy consumption patterns of men and women from a population-based cohort and then assess the association of each consumption pattern with incident T2D risk. METHODS AND RESULTS This prospective study was conducted within the framework of Alberta's Tomorrow Project (ATP), in which 8615 men and 15,016 women provided information on dietary intake by completing a food-frequency questionnaire at baseline, and then were followed up over time to determine the incidence of T2D via questionnaires. Principal Component Analysis (PCA) was used to extract dairy consumption patterns (DCPs). The association between each extracted pattern and T2D incidence was estimated using multivariable logistic regression models.The incidence of T2D among men and women was 3.8 and 3.2%, respectively, and the mean duration of follow-up was 5.2 years. Three major DCPs were identified. After controlling for potential confounders, the OR for risk of T2D in men in the highest compared with those in the lowest quartile of the DCP3 (whole milk, regular cheese, and non-fat milk as a beverage and in cereal) was 0.64 (95%CI: 0.47 to 0.88, P-trend=0.001), whereas it was not significant for women. DCP1 and DCP2 were not associated with incident T2D in men or women. CONCLUSION Adherence to a DCP characterized by higher consumption of whole milk, regular cheese, and non-fat milk was associated with decreased risk of incident T2D only in men. Our results support current evidence that a combination of different dairy products, regardless of their fat content, might be favorable for health maintenance, at least in men.
Collapse
Affiliation(s)
- Emad Yuzbashian
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada
| | - Mohammadreza Pakseresht
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada; Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, Alberta, Canada
| | - Jennifer Vena
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada; Cancer Research & Analytics, Cancer Care Alberta, Alberta Health Services, Alberta, Canada
| | - Catherine B Chan
- Department of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada; Department of Physiology, University of Alberta, Edmonton, Alberta, Canada.
| |
Collapse
|
7
|
Jung H, Lee G, Lim K, Shin S. Association of milk consumption with management and incidence of hypertension among South Korean adults: A prospective analysis of the health examinees study cohort. Nutr Metab Cardiovasc Dis 2022; 32:2515-2525. [PMID: 36175315 DOI: 10.1016/j.numecd.2022.07.022] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Revised: 07/25/2022] [Accepted: 07/27/2022] [Indexed: 10/31/2022]
Abstract
BACKGROUND AND AIMS Studies have revealed a positive relationship between milk consumption and hypertension. However, few researchers have investigated the association between milk consumption and changes in blood pressure (BP) in South Korean adults. Therefore, we examined the association between milk intake and the management and risk of hypertension in South Korean adults. METHODS AND RESULTS Participants were selected from the Health Examinees study. The definition of hypertension was based on the guidelines of the Korean Society of Hypertension. The participants were divided into three groups according to changes between baseline and follow-up BP data. Milk consumption was assessed using food frequency questionnaires. In both men and women, the higher milk consumption group had increased odds of trends of BP improvement (OR: 1.249, 95% CI: 1.043-1.496, p for trend: 0.2271 in men; OR: 1.147, 95% CI: 1.014-1.297, p for trend: 0.0293 in women) and decreased odds of trends of worsening (OR: 0.861, 95% CI: 0.756-0.980, p for trend: <0.0001 in men, OR: 0.866, 95% CI: 0.794-0.943, p for trend: 0.0010 in women) compared to those of the non-consumption group. In the prospective study, milk intake was inversely associated with hypertension risk (HR: 0.900, 95% CI: 0.811-0.999, p for trend: 0.0076 in men; HR: 0.879, 95% CI: 0.814-0.949, p for trend: 0.0002 in women). CONCLUSION Increased intake of milk was inversely related to the risk of increased BP, with a decreased risk of hypertension events.
Collapse
Affiliation(s)
- Hyein Jung
- Department of Food and Nutrition, Chung-Ang University, Gyeonggi-do 17546, South Korea
| | - Geongu Lee
- Department of Food and Nutrition, Chung-Ang University, Gyeonggi-do 17546, South Korea
| | - Kyungjoon Lim
- Faculty of Medicine and Health, School of Medical Science, University of Sydney, NSW 2006, Australia
| | - Sangah Shin
- Department of Food and Nutrition, Chung-Ang University, Gyeonggi-do 17546, South Korea.
| |
Collapse
|
8
|
Yang Y, Na X, Xi Y, Xi M, Yang H, Li Z, Zhao A. Association between dairy consumption and the risk of diabetes: A prospective cohort study from the China Health and Nutrition Survey. Front Nutr 2022; 9:997636. [PMID: 36225884 PMCID: PMC9550167 DOI: 10.3389/fnut.2022.997636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 08/31/2022] [Indexed: 11/13/2022] Open
Abstract
Diet is closely related to the risk of diabetes; yet the relationship between dairy consumption and the risk of diabetes is unclear with conflicting evidence from previous studies. This study used data from the Chinese Health and Nutrition Survey to investigate the association between dairy consumption and diabetes. A total of 15,512 adults were included; dairy consumption at each survey was assessed by the 3-day 24-h recall and weighed food record methods, and diabetes occurrence was derived from self-reported information. The association between dairy consumption and diabetes was explored using Cox regression and further stratified with BMI and energy intake. Results indicated that 12,368 (79.7%) participants had no dairy consumption, while 2,179 (14.0%) and 947 (6.1%) consumed dairy at 0.1-100 and >100 g/day, respectively. After adjusting for potential confounders, dairy consumption of 0.1-100 g/day was associated with lower risk of diabetes in all participants (HR 0.53, 95% CI:0.38 -0.74; P < 0.001) and males (HR 0.50, 95% CI: 0.31-0.80; P = 0.004). According to the restricted cubic splines (RCS), the protective effect on diabetes was significant in the total population with dairy consumption ranging from 25 to 65 g/day (HR <1, P = 0.025). In the stratified analysis, consuming 30-80 g/day was associated with reduced diabetes risk among the ≤ 2,000 kcal/day energy intake group (HR <1, P = 0.023). In conclusion, dairy consumption was inversely associated with a reduced diabetes risk in Chinese population. Further studies are required to examine the optimal level of dairy consumption for preventing diabetes in the Chinese population.
Collapse
Affiliation(s)
- Yucheng Yang
- Vanke School of Public Health, Tsinghua University, Beijing, China
- Institute for Healthy China, Tsinghua University, Beijing, China
| | - Xiaona Na
- Vanke School of Public Health, Tsinghua University, Beijing, China
- Institute for Healthy China, Tsinghua University, Beijing, China
| | - Yuandi Xi
- School of Public Health, Capital Medical University, Beijing, China
| | - Menglu Xi
- Vanke School of Public Health, Tsinghua University, Beijing, China
- Institute for Healthy China, Tsinghua University, Beijing, China
| | - Haibing Yang
- Vanke School of Public Health, Tsinghua University, Beijing, China
- Institute for Healthy China, Tsinghua University, Beijing, China
| | - Zhihui Li
- Vanke School of Public Health, Tsinghua University, Beijing, China
- Institute for Healthy China, Tsinghua University, Beijing, China
| | - Ai Zhao
- Vanke School of Public Health, Tsinghua University, Beijing, China
- Institute for Healthy China, Tsinghua University, Beijing, China
| |
Collapse
|