Skip to main content

Association between night blindness history and risk of diabetes in the Chinese population: a multi-center, cross sectional study

Abstract

Aims

Night blindness (NB), an important manifestation of VA deficiency, may be associated with the odds of diabetes. The aim of this study was to explore the probable association between NB history and diabetes in Chinese community-dwelling adults.

Methods

This multi-center, cross-sectional study enrolled a total of 5664 participants aged 18–82 years from eight sites in China. Information on demographics and medical history was collected using a standardized questionnaire. Diabetes was diagnosed based on the oral glucose tolerance test or a self-reported history. NB history was ascertained by a face-to-face interview with reference to the recommendation by the World Health Organization. Logistic regression analysis was used to evaluate the association between NB history and the odds of diabetes.

Results

A total of 5049 participants were finally included, with 252 ascertained with NB history and 1076 with diabetes. The mean age of included participants was 52.9 years, and the percentage of participants with NB history was significantly higher in participants with diabetes than those without (7.0% vs. 4.5%). The multivariable adjusted odds ratio for diabetes was 1.41 (95% confidence interval 1.06, 1.89) in participants with NB history compared with those without. Furthermore, mediation analysis showed that obesity, as assessed by waist-height ratio, partially mediated the relationship between NB history and increased odds of diabetes.

Conclusions

The results suggest that NB history might be associated with increased odds of diabetes in Chinese community-dwelling adults.

Peer Review reports

Introduction

Micronutrients (like vitamins) are important environmental factors affecting the development of diabetes [1]. Vitamin A (VA) is a dietary and fat-soluble vitamin that is involved in embryonic development, vision, immunity, and reproduction [2]. Moreover, recent studies have demonstrated that VA is closely related to diabetes [3,4,5]. This lies in the evidence that VA plays a key role in islet cell development [6], while VA deficiency may lead to β cell apoptosis, loss of β cell mass and activation of islet stellate cell [7, 8]. Moreover, VA has a regulatory effect on insulin sensitivity [9, 10]. In addition to diabetes, studies have also shown that VA deficiency is associated with obesity and metabolic syndrome [11, 12].

Night blindness (NB), characterized by impaired vision at nighttime, is an important manifestation of VA deficiency. And it could be easily identified by a questionnaire interview based on the recommendation from the World Health Organization [13,14,15]. NB is a problem of enormous magnitude worldwide, particularly in the underdeveloped regions [14, 16]. However, few studies have been conducted to explore the association between NB history and diabetes to date, although as aforementioned there is an increasing number of studies exploring the mechanism between VA and diabetes [17,18,19].

Obesity, as indicated by waist-to-height ratio (WHtR), is a well-identified risk factor for diabetes [20, 21]. WHtR is more indicative of abdominal fat accumulation when compared to other obesity indicators (like BMI or waist circumference) [22]. Research also shows that WHtR is more closely related to diabetes than BMI in the Chinese population [23]. Besides, several lines of evidence have supported the relevance of VA deficiency to the development of obesity [24,25,26,27]. In animal studies, VA supplementation is shown to effectively regulate adipose tissue mass [28, 29]. These observations suggest a potential role of obesity in linking NB history to diabetes, intriguing us to examine whether obesity (WHtR) could mediate the association between NB history and diabetes in the real-world setting.

Given these, the primary aim of this study was to investigate the association between NB history and diabetes in Chinese community-dwelling adults. The secondary aim was to assess whether this association could be mediated by obesity, as evaluated by WHtR.

Methods

Study design and population

Participants in this study were from the first follow-up survey of the SENSIBLE-cohort study, which was designed to determine the optimal cut-off value of advanced glycation end-products and HbA1c for diagnosing T2D in China [30, 31]. This first follow-up survey was started in July 2018 and a total of 5664 participants completed the survey. The survey included a face-to-face interview, physical examination and laboratory examination. Upon the exclusion of 460 and 155 subjects due to the lack of data to confirm the presence or absence of NB history and diabetes, respectively, a total of 5049 participants were included in the final data analysis (Fig. 1).

Fig. 1
figure 1

Flow chart of this study. FPG, fasting plasma glucose; PG, plasma glucose

The study protocol was approved by the ethics committee of Zhongda Hospital, Southeast University and other sub-center hospitals involved, and written informed consent was signed by each participant prior to their participation.

Data collection

A standardized questionnaire was used to collect information on demographics (including sex, age, ethnicity, education level, annual household income and family history of diabetes) and medical history (including hypertension, dyslipidemia, diabetes, heart disease, and medication use) by trained doctors and nurses using a face-to-face interview. Anthropometric parameters including body weight, height, waist and hip circumference (WC) were measured based on standard protocols. BMI (kg/m2) was calculated as body weight/(height2), WHR was as WC/hip and WHtR was as WC/height. Obesity was defined as BMI ≥ 28 kg/m2. Systolic blood pressure (SBP) and diastolic blood pressure (DBP) were also measured. Fasting blood samples were collected for measurements of fasting plasma glucose (FPG), glycosylated hemoglobin A1c (HbA1c), total cholesterol (TC), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), uric acid. Oral glucose tolerance test was performed in participants without a prior history of diabetes, and venous blood samples were obtained for the measurement of 2 h plasma glucose (2 h-PG) at 120 min after the 75 g oral glucose load.

Ascertainment of night blindness history and diabetes

NB history was ascertained by trained doctors and nurses during the face-to-face interview. With reference to the questionnaire recommended by the World Health Organization, the questionnaire interview includes: (1) When you were a child (≤ 9 years old), did you have any problem seeing at nighttime, such as difficulty spotting food or toys? (2) Do you have any problem seeing at nighttime now? (3) Do you have any problem seeing in daytime now? (Shortsightedness, longsightedness, blurred or impaired vision)? (4) Have you ever suffered from night blindness? (Use local term that describes the symptom)? The detailed questionnaire can be found in Supplementary Materials.

Participants were considered with NB history if they answered “Yes” to question (4). The reasons to employ the first three questions were mainly designed to get a more accurate answer or enable the participants to better understand what NB is when they were asked the fourth question.

Diabetes was defined as FPG ≥ 7.0 mmol/l, or 2 h PG ≥ 11.1 mmol/l, or a self-reported history of diabetes (including diabetes medication use) [32].

Statistical analysis

Continuous data are presented as means and standard deviations (SDs), and categorical variables are as numbers and percentages. Missing data in covariates including age, heart rate, systolic blood pressure, Tc, HDL-C, Cr, and uric acid (UA), WHR and BMI were imputed using multiple imputation methods. The difference between participants with and without diabetes was assessed using the χ2 and student-t test where appropriate. Odds ratio (OR) and 95% confidence intervals (CI) were estimated using logistic regression analysis to examine the association between NB history and diabetes. Four different models were constructed, with model 1 including only the study variable, model 2 controlled for age and sex, model 3 additionally controlled for HR, SBP, TC, HDL-C, Cr, and UA based on model 2, and model 4 additionally controlled for BMI based on model 3.

Sensitivity analyses were performed by excluding participants with missing data in covariates including age, sex, HR, SBP, Tc, HDL-C, Cr, UA and BMI. Subgroup analyses stratified by sex (male vs. female), age (≥ 45 vs. < 45 years), BMI (≥ 28 vs. < 28 kg/m2), WHR (Female, >0.80 vs. ≤ 0.80; male >0.85 vs. ≤ 0.85) and WHtR (≥ 0.5 vs. < 0.5) were performed, with their interaction effects being tested. Mediation analysis was performed to assess the total, direct and indirect effects of NB history on diabetes in relation to BMI, WHR and WHtR. Data analyses were conducted using SPSS 25.0 (SPSS Inc., Chicago, IL, USA). Mediation analyses were conducted by RStudio with BruceR package, with the mediation effect being calculated as indirect effect/total effect × 100%. Statistical significance was defined as a two-sided p value of < 0.05.

Results

Characteristics of study population

The baseline characteristics of the included 5049 participants based on the presence of NB history are shown in Table 1. Compared with participants without NB history, those with NB history were more likely to be females (64.2% vs. 71.2%) and had higher age, BMI, WHtR, HbA1c, TC and LDL-C. Moreover, compared with participants without diabetes, those with was more likely had NB history (4.5% vs. 7.0%, Supplementary Table 1).

Table 1 Baseline characteristics of included participants

Odds of diabetes in relation to NB history

As shown in Table 2, participants with NB history were more likely to have diabetes than those without (29.8% vs. 20.9%). Logistic regression analysis showed that the crude OR of diabetes was 1.61 (95% CI 1.22, 2.12) in participants with NB history compared with those without NB history. After multivariable adjustment, the association between NB history and diabetes remained significant (OR 1.41; 95% CI 1.06, 1.89; P = 0.02; model 4). Sensitivity analyses upon the exclusion of participants with missing information in covariates showed similar outcomes (Table 2).

Table 2 Odds of diabetes in relation to night blindness (NB) history in Chinese adults

Subgroup analysis

As shown in Table 3, subgroup analysis showed that sex, age, BMI, WHR and WHtR had no significant interaction effect on the association between NB history and diabetes (Pinteraction = 0.498, 0.884, 0.402, 0.250 and 0.790 respectively).

Table 3 Interactive effect of NB history on the risk of diabetes (odds ratios and 95% confidence intervals)

Mediation analysis

Figure 2 and Supplementary Fig. 1 show the results of the mediation analysis on the relationship between NB history and diabetes. The association between NB history and diabetes was found to be mediated by BMI, waist-hip ratio (WHR) and WHtR, with their mediation effect being 7.9%, 21.1% and 27.0% (bootstrap 95% CI: 0.014, 0.034, p < 0.001) respectively.

Fig. 2
figure 2

Mediation analysis on the relationship between night blindness history and diabetes. IE, indirect effect; DE, direct effect; WHtR, waist-to-height ratio

Discussion

In this multicenter, cross-sectional study of Chinese community-dwelling adults, we found that: (1) participants with diabetes were more likely to present with NB history than those without; (2) NB history was associated with increased odds of diabetes, even after multivariable adjustment; and (3) the association of NB history with diabetes was partially mediated by WHtR.

To the best of our knowledge, this is the first study to examine the relationship between NB history and diabetes in a Chinese population. NB, which is a specific and sensitive clinical manifestation of VA deficiency [33], could be easily and quickly ascertained via the questionnaire interview. In our study, about 5.0% of the Chinese adults had a history of NB. This is generally comparable to the VA deficiency data from the World Health Organization and several other Chinese studies, which were reported to be 0.25-5.16% [34,35,36,37,38,39]. Our study showed a positive association between NB history and the odds of diabetes. This is consistent with several prior studies that observed a lowered VA intake in subjects with diabetes [40, 41]. Our study also showed that sex, age, BMI, WHR and WHtR had no interaction effect on the association between NB history and diabetes. These may due to insufficient statistical power, especially the small number of diabetic patients with NB history after grouping. So, more data validation is needed.

Our mediation analysis showed that WHtR, an indicator of obesity, significantly mediated the association between NB history and diabetes. This could be supported by the relevance of VA deficiency to the development of obesity [24,25,26,27, 42, 43], and the evidence that VA deficiency may influence the expression of the hepatic genes for fuel metabolism, adipocyte differentiation and adipogenesis [44,45,46,47]. Moreover, obesity is associated with occurrence of type 2 diabetes [48,49,50]. Compared with BMI and WHR, WHtR has a greater mediated effect, which may be because it is a better indicator of central obesity. Previous study also showed body adiposity, especially visceral fat, is correlated with reduced serum concentrations of vitamin A [51]. Considering these, it seems likely that obesity, especially central obesity, could be a therapeutic target for the prevention of diabetes in participants with NB history; however, this speculation needs to be verified by interventional studies.

Several limitations should be noted when interpreting our findings. First, NB history was ascertained subjectively using a self-reported questionnaire. This may lead to an increased risk of recall bias. Future studies might benefit from the objective assessment for NB history by measuring serum retinol, performing electroretinography or collecting medical records. Second, our study could not address the issue whether the severity of NB history was associated with the odds of diabetes, since such information was not obtained. Third, despite the adjustments for multivariable, residual confounding cannot be excluded from unmeasured factors, such as the status of other micronutrients [52]. Fourth, the cross-sectional nature of our study cannot determine the causal relationship between NB history and diabetes, which requires to be confirmed by future prospective studies. Finally, our present study enrolled only Chinese population, the generalization of our findings to other populations (e.g., Americans) might be limited.

In conclusion, our study shows that NB, a clinical manifestation of VA deficiency, might be associated with increased odds of diabetes in Chinese adults. Moreover, this association was likely to be mediated by obesity. Further perspective cohort studies that enrolled populations from different ethnics are needed to confirm our findings.

Availability of data and materials

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

References

  1. Valdés-Ramos R, et al. Vitamins and type 2 diabetes mellitus. Endocr Metab Immune Disord Drug Targets. 2015;15(1):54–63.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Carazo A, et al. Vitamin A update: forms, sources, kinetics, detection, function, deficiency, therapeutic use and toxicity. Nutrients. 2021;13(5):1703.

  3. Zhang Y, et al. Vitamin A and diabetes. J Med Food. 2021;24(8):775–85.

    Article  PubMed  CAS  Google Scholar 

  4. Blaner WS. Vitamin A signaling and homeostasis in obesity, diabetes, and metabolic disorders. Pharmacol Ther. 2019;197:153–78.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  5. Iqbal S, Naseem I. Role of vitamin A in type 2 diabetes mellitus biology: effects of intervention therapy in a deficient state. Nutrition. 2015;31(7–8):901–7.

    Article  PubMed  CAS  Google Scholar 

  6. Matthews KA, et al. Vitamin A deficiency impairs fetal islet development and causes subsequent glucose intolerance in adult rats. J Nutr. 2004;134(8):1958–63.

    Article  PubMed  CAS  Google Scholar 

  7. Trasino SE, Benoit YD, Gudas LJ. Vitamin A deficiency causes hyperglycemia and loss of pancreatic β-cell mass. J Biol Chem. 2015;290(3):1456–73.

    Article  PubMed  Google Scholar 

  8. Zhou Y, et al. Vitamin A deficiency causes islet dysfunction by inducing islet stellate cell activation via cellular retinol binding protein 1. Int J Biol Sci. 2020;16(6):947–56.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  9. Mody N. Alterations in vitamin A/retinoic acid homeostasis in diet-induced obesity and insulin resistance. Proc Nutr Soc. 2017;76(4):597–602.

    Article  PubMed  CAS  Google Scholar 

  10. Chen G. Roles of vitamin A metabolism in the development of hepatic insulin resistance. ISRN Hepatol. 2013;2013:534972.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Wei X, et al. Serum vitamin A status is associated with obesity and the metabolic syndrome among school-age children in Chongqing, China. Asia Pac J Clin Nutr. 2016;25(3):563–70.

    PubMed  CAS  Google Scholar 

  12. Qorbani M, et al. Association of serum retinol concentrations with metabolic Syndrome components in Iranian children and adolescents: the CASPIAN-V Study. Front Nutr. 2022;9:807634.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Harris EW, Loewenstein JI, Azar D. Vitamin A deficiency and its effects on the eye. Int Ophthalmol Clin. 1998;38(1):155–61.

    Article  PubMed  CAS  Google Scholar 

  14. Smith J, Steinemann TL. Vitamin A deficiency and the eye. Int Ophthalmol Clin. 2000;40(4):83–91.

    Article  PubMed  CAS  Google Scholar 

  15. Chakraborty U, Chandra A. Bitot’s spots, dry eyes, and night blindness indicate vitamin A deficiency. Lancet. 2021;397(10270):e2.

    Article  PubMed  Google Scholar 

  16. Wirth JP, et al. Vitamin A supplementation programs and country-level evidence of vitamin A deficiency. Nutrients. 2017;9(3):190.

  17. Tavridou A, et al. Serum concentrations of vitamins a and E in impaired glucose tolerance. Clin Chim Acta. 1997;266(2):129–40.

    Article  PubMed  CAS  Google Scholar 

  18. Kim M, et al. Serum vitamin A-related metabolite levels are associated with incidence of type 2 diabetes. Diabetes Metab. 2017;43(3):287–91.

    Article  PubMed  CAS  Google Scholar 

  19. Broch M, et al. Circulating retinol-binding protein-4, insulin sensitivity, insulin secretion, and insulin disposition index in obese and nonobese subjects. Diabetes Care. 2007;30(7):1802–6.

    Article  PubMed  CAS  Google Scholar 

  20. Bojanic D, et al. Waist circumference, waist-to-hip ratio, and waist-to-height ratio reference percentiles for abdominal obesity among Macedonian adolescents. Nutr Hosp. 2020;37(4):786–93.

    PubMed  Google Scholar 

  21. Parente EB, et al. Waist-height ratio and waist are the best estimators of visceral fat in type 1 diabetes. Sci Rep. 2020;10(1):18575.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  22. Wu HY, Xu SY, Chen LL, Zhang HF. Waist to height ratio as a predictor of abdominal fat distribution in men. Chin J Physiol. 2009;52(6):441–5.

    Article  PubMed  Google Scholar 

  23. Zhang FL, et al. Strong Association of Waist Circumference (WC), Body Mass Index (BMI), Waist-to-Height Ratio (WHtR), and Waist-to-Hip Ratio (WHR) with Diabetes: A Population-Based Cross-Sectional Study in Jilin Province. China J Diabetes Res. 2021;2021:8812431.

    PubMed  Google Scholar 

  24. García OP, Long KZ, Rosado JL. Impact of micronutrient deficiencies on obesity. Nutr Rev. 2009;67(10):559–72.

    Article  PubMed  Google Scholar 

  25. Vaughan LA, Benyshek DC, Martin JF. Food acquisition habits, nutrient intakes, and anthropometric data of Havasupai adults. J Am Diet Assoc. 1997;97(11):1275–82.

    Article  PubMed  CAS  Google Scholar 

  26. de Silva SV, da Veiga L.G Valeria, Ramalho RA. Association of serum concentrations of retinol and carotenoids with overweight in children and adolescents. Nutrition. 2007;23(5):392–7.

    Article  Google Scholar 

  27. Bento C, et al. Vitamin A deficiency is associated with body mass index and body adiposity in women with recommended intake of vitamin A. Nutr Hosp. 2018;35(5):1072–8.

    Article  PubMed  CAS  Google Scholar 

  28. Jeyakumar SM, et al. Vitamin a supplementation induces adipose tissue loss through apoptosis in lean but not in obese rats of the WNIN/Ob strain. J Mol Endocrinol. 2005;35(2):391–8.

    Article  PubMed  CAS  Google Scholar 

  29. Jeyakumar SM, Vajreswari A, Giridharan NV. Chronic dietary vitamin a supplementation regulates obesity in an obese mutant WNIN/Ob rat model. Obes (Silver Spring). 2006;14(1):52–9.

    Article  CAS  Google Scholar 

  30. Qiu S, et al. Exploration and validation of the performance of Hemoglobin A1c in detecting diabetes in community-dwellers with hypertension. Ann Lab Med. 2020;40(6):457–65.

  31. Liu Y, et al. Novel clusters of newly-diagnosed type 2 diabetes and their association with diabetic retinopathy: a 3-year follow-up study. Acta Diabetol. 2022;59(6):827–35.

    Article  PubMed  CAS  Google Scholar 

  32. Drouin P, et al. [Diagnosis and classification of diabetes mellitus: the new criteria]. Diabetes Metab. 1999;25(1):72–83.

    PubMed  CAS  Google Scholar 

  33. Sommer A, et al. History of nightblindness: a simple tool for xerophthalmia screening. Am J Clin Nutr. 1980;33(4):887–91.

    Article  PubMed  CAS  Google Scholar 

  34. Sherwin JC, et al. Epidemiology of vitamin A deficiency and xerophthalmia in at-risk populations. Trans R Soc Trop Med Hyg. 2012;106(4):205–14.

    Article  PubMed  CAS  Google Scholar 

  35. Lin L, et al. [Survey on vitamin A deficiency in children under-6-years in China]. Zhonghua Yu Fang Yi Xue Za Zhi. 2002;36(5):315–9.

    PubMed  Google Scholar 

  36. Mi J, et al. [Prevalence of vitamin A deficiency in children under six years of age in Tibet, China]. Zhonghua Yu Fang Yi Xue Za Zhi. 2003;37(6):419–22.

    PubMed  Google Scholar 

  37. Song P et al. The prevalence of vitamin A deficiency in Chinese children: a systematic review and bayesian Meta-analysis. Nutrients. 2017;9(12):1285.

  38. Wang R, et al. Serum vitamin a nutritional status of children and adolescents aged 6–17 years - China, 2016–2017. China CDC Wkly. 2021;3(9):189–92.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Mao D, et al. [Vitamin A nutrition status of Chinese urban adults aged 18 to 60 years old in 2015]. Wei Sheng Yan Jiu. 2022;51(3):381–5.

    PubMed  Google Scholar 

  40. Shah M, et al. Comparison of nutrient intakes in South asians with type 2 diabetes mellitus and controls living in the United States. Diabetes Res Clin Pract. 2018;138:47–56.

    Article  PubMed  Google Scholar 

  41. Khayyatzadeh SS, et al. Nutrient patterns and their relationship to metabolic syndrome in Iranian adults. Eur J Clin Invest. 2016;46(10):840–52.

    Article  PubMed  CAS  Google Scholar 

  42. Godala M, et al. The risk of plasma vitamin A, C, E and D deficiency in patients with metabolic syndrome: a case-control study. Adv Clin Exp Med. 2017;26(4):581–6.

    Article  PubMed  Google Scholar 

  43. Pereira S, et al. Class III obesity and its relationship with the nutritional status of vitamin A in pre- and postoperative gastric bypass. Obes Surg. 2009;19(6):738–44.

    Article  PubMed  Google Scholar 

  44. Viroonudomphol D, et al. The relationships between anthropometric measurements, serum vitamin A and E concentrations and lipid profiles in overweight and obese subjects. Asia Pac J Clin Nutr. 2003;12(1):73–9.

    PubMed  CAS  Google Scholar 

  45. Zhang Y, et al. Vitamin A status affects obesity development and hepatic expression of key genes for fuel metabolism in Zucker fatty rats. Biochem Cell Biol. 2012;90(4):548–57.

    Article  PubMed  CAS  Google Scholar 

  46. Hong SE, et al. Effect of retinoic acid on leptin, glycerol, and glucose levels in mature rat adipocytes in vitro. J Med Food. 2004;7(3):320–6.

    Article  PubMed  CAS  Google Scholar 

  47. Frey SK, Vogel S. Vitamin a metabolism and adipose tissue biology. Nutrients. 2011;3(1):27–39.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  48. Hu FB, et al. Diet, lifestyle, and the risk of type 2 diabetes mellitus in women. N Engl J Med. 2001;345(11):790–7.

    Article  PubMed  CAS  Google Scholar 

  49. Ford ES, Williamson DF, Liu S. Weight change and diabetes incidence: findings from a national cohort of US adults. Am J Epidemiol. 1997;146(3):214–22.

    Article  PubMed  CAS  Google Scholar 

  50. Maggio CA. F.X. Pi-Sunyer 2003 Obesity and type 2 diabetes. Endocrinol Metab Clin North Am 32 4 805–22 viii.

    Article  PubMed  Google Scholar 

  51. Góes É et al. Vitamin A deficiency and its association with visceral adiposity in women. Biomedicines. 2023;11(3):991.

  52. McLaren DS, Kraemer K. Interaction of vitamin A and other micronutrients. World Rev Nutr Diet. 2012;103:101–5.

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgements

Not applicable.

Research involving human participants and/or animals

This study involved human participants to evaluate the relationships of night blindness with odds of diabetes and test whether obesity mediate these associations in Chinese population.

Informed consent

Informed consent was obtained from all individuals included in the study.

Funding

This work was partly supported by the Key Research and Development Program in Jiangsu Province (grant No. BE2022828), the National Key R&D Program of China (grant No. 2016YFC1305700), the Excellence Project Funds of Southeast University (grant No. 1190001801), and the Open Project Program of the Key Base for Standardized Training for General Physicians from Zhongda Hospital (grant No. ZDZYJD-QK-2022-7). Shanhu Qiu has been supported by the “Best Young Scholars” Fellowship from Southeast University. The funders had no roles in the design of the study and collection, analysis, and interpretation of data or in writing the manuscript.

Author information

Authors and Affiliations

Authors

Contributions

JB.W., YT.Z., Y.L., and MM.S. were responsible for study conception and design. YZ.D., TT.L., XH.W., V.C., Q.W., Y.C., Z.S., ZS.C., H.W. and CM.N. contributed to data collection. D.W., S.Q., and Z.S. contributed to analysis and interpretation of results. JB.W. and V.C. drafted the manuscript. All authors reviewed the results and approved the final version of the manuscript.

Corresponding authors

Correspondence to Shanhu Qiu or Zilin Sun.

Ethics declarations

Ethics approval and consent to participate

The study protocol was approved by the ethics committee of Zhongda Hospital, Southeast University and other sub-center hospitals involved, and written informed consent was signed by each participant prior to their participation. We ensured that the techniques in this study complied with the relevant guidelines and ethical principles, including the Declaration of Helsinki.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by-nc-nd/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Wang, J., Zhou, Y., Liu, Y. et al. Association between night blindness history and risk of diabetes in the Chinese population: a multi-center, cross sectional study. BMC Endocr Disord 24, 231 (2024). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12902-024-01721-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12902-024-01721-2

Keywords