Predictive Validity of Each Item of the
                                                  8-Item Short-Form Health Survey for All-Cause
                                                  Mortality in Japanese patients with type 2
                                                  diabetes: A prospective Cohort Study (Diabetes
                                                  Distress and Care Registry at Tenri [DDCRT
                                                  19])

Yasuaki Hayashino; Shintaro Okamura; Satoru Tsujii; Hitoshi Ishii; for the Diabetes Distress and
                                                  Care Registry at Tenri Study Group*

doi:10.1055/a-1044-2041

Experimental and Clinical Endocrinology & Diabetes, Table of Contents

Exp Clin Endocrinol Diabetes 2021; 129(10): 722-728
DOI: 10.1055/a-1044-2041

Article

Predictive Validity of Each Item of the 8-Item Short-Form Health Survey for All-Cause Mortality in Japanese patients with type 2 diabetes: A prospective Cohort Study (Diabetes Distress and Care Registry at Tenri [DDCRT 19])

Authors

Yasuaki Hayashino

¹Department of Endocrinology, Tenri Hospital, Tenri, Japan
Shintaro Okamura

¹Department of Endocrinology, Tenri Hospital, Tenri, Japan
Satoru Tsujii

¹Department of Endocrinology, Tenri Hospital, Tenri, Japan
Hitoshi Ishii

²Department of Diabetology, Nara Medical University, Kashihara, Japan

for the Diabetes Distress and Care Registry at Tenri Study Group^*

Abstract

Aims While health-related quality of life (HRQOL) is reported to be associated with mortality, this assessment was made using surveys with a large number of questions, not specifically focused on populations with diabetes, or in western countries alone. We thus evaluated the predictive validity of summary scores, and each item score of the 8-Item Short-Form Health Survey in Japanese individuals with type-2 diabetes.

Materials and Methods Longitudinal data from 3269 individuals with diabetes were obtained from a large Japanese diabetes registry. To assess the independent correlation between the 10-point scores of the SF-8 physical component summary (PCS) and mental component summary (MCS), each item score, and all-cause mortality, the Cox proportional hazards model was used with adjustment for potential confounders.

Results Mean cohort parameters included age (64.9 years [SD 11.2]), body mass index (24.6 kg/m² [SD, 3.9]), and HbA1c level (7.5% [SD, 1.2]; or 58.6 mmol/mol [SD, 12.7]). We recorded 248 deaths during the median follow-up of 7.2 years (incidence ratio, 12.2 per 1000 person-years). Multivariable-adjusted HRs for all-cause mortality were 0.780 (95%CI, 0.674–0.902; p=0.001) and 0.776 (95%CI, 0.656–0.917; p=0.003), respectively, for 10-point increment of PCS and MCS scores. Higher score of any single item of SF-8 was associated with lower risk of all-cause mortality even after adjusting for possible confounders.

Conclusions As assessed by the SF-8, higher PCS, MCS, and any single 1-item scores were associated with lower risk of all-cause mortality in Japanese individuals with type 2 diabetes.

Key words

autoimmunity - diabetes - cardiovascular incidences - cardiovascular risk management - obesity - alimentation - hormones - gh adrenal gland - glucocorticoids - human - epidemiology - cohort study - health-related quality of life - mortality - cancer - vitamines - thyroiditis - lymphoma - peripheral arterial disease

Full Text

References

References
1 World Health Organization Global report on diabetes. http://www.who.int/iris/handle/10665/204871 In 2016
2 GBD 2016 Causes of Death Collaborators. Global, regional, and national disability-adjusted life-years (DALYs) for 333 diseases and injuries and healthy life expectancy (HALE) for 195 countries and territories, 1990–2016: a systematic analysis for the Global Burden of Disease Study 2016. Lancet 2017; 390: 1260-1344 doi:10.1016/S0140-6736(17)32130-X
3 Gregg EW, Beckles GL, Williamson DF. et al. Diabetes and physical disability among older US adults. Diabetes Care 2000; 23: 1272-1277
4 Idler EL, Benyamini Y. Self-rated health and mortality: a review of twenty-seven community studies. Journal of Health and Social Behavior 1997; 38: 21-37
5 Landman GW, van Hateren KJ, Kleefstra N. et al. Health-related quality of life and mortality in a general and elderly population of patients with type 2 diabetes (ZODIAC-18). Diabetes Care 2010; 33: 2378-2382
6 Hayashino Y, Fukuhara S, Akiba T. et al. Low health-related quality of life is associated with all-cause mortality in patients with diabetes on haemodialysis: the Japan Dialysis Outcomes and Practice Pattern Study. Diabet Med 2009; 26: 921-927
7 Hall RK, Luciano A, Pieper C. et al. Association of Kidney Disease Quality of Life (KDQOL-36) with mortality and hospitalization in older adults receiving hemodialysis. BMC nephrology 2018; 19: 11
8 Lopez Revuelta K, Garcia Lopez FJ, de Alvaro Moreno F. et al. Perceived mental health at the start of dialysis as a predictor of morbidity and mortality in patients with end-stage renal disease (CALVIDIA Study). Nephrol Dial Transplant 2004; 19: 2347-2353
9 McEwen LN, Kim C, Haan MN. et al. Are health-related quality-of-life and self-rated health associated with mortality? Insights from Translating Research Into Action for Diabetes (TRIAD). Primary Care Diabetes 2009; 3: 37-42
10 Kleefstra N, Landman GW, Houweling ST. et al. Prediction of mortality in type 2 diabetes from health-related quality of life (ZODIAC-4). Diabetes Care 2008; 31: 932-933
11 Fukuhara S, Suzukamo Y. Manual of the SF-8 Japanese version. Kyoto: Institute for Health Outcomes & Process. Evaluation Research; 2004
12 Ware J, Kosinski M, Dewey J. et al. How to score and interpret single-item health status measures: A manual for users of the SF-8 health survey. Lincoln, RI: QualityMetric, Inc; 2001
13 Carr AJ, Gibson B, Robinson PG. Measuring quality of life: Is quality of life determined by expectations or experience?. BMJ 2001; 322: 1240-1243 doi:10.1136/bmj.322.7296.1240
14 Bullinger M, Anderson R, Cella D. et al. Developing and evaluating cross-cultural instruments from minimum requirements to optimal models. Qual Life Res 1993; 2: 451-459
15 Dankner R, Olmer L, Kaplan G. et al. The joint association of self-rated health and diabetes status on 14-year mortality in elderly men and women. Qual Life Res 2016; 25: 2889-2896
16 Wennberg P, Rolandsson O, Jerden L. et al. Self-rated health and mortality in individuals with diabetes mellitus: prospective cohort study. BMJ open 2012; 2: e000760
17 Dasbach EJ, Klein R, Klein BE. et al. Self-rated health and mortality in people with diabetes. Am J Public Health 1994; 84: 1775-1779
18 Committee of the Japan Diabetes Society on the Diagnostic Criteria of Diabetes M. Seino Y, Nanjo K. et al. Report of the committee on the classification and diagnostic criteria of diabetes mellitus. Journal of Diabetes Investigation 2010; 1: 212-228
19 Buse JB, Bigger JT, Byington RP. et al. Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial: design and methods. Am J Cardiol 2007; 99: 21i-33i
20 Hess KR. Graphical methods for assessing violations of the proportional hazards assumption in Cox regression. Stat Med 1995; 14: 1707-1723
21 Selvin S. Statistical Analysis of Epidemiologic Data. NY: Oxford University Press; 1996
22 Nakamura J, Kamiya H, Haneda M. et al. Causes of death in Japanese patients with diabetes based on the results of a survey of 45,708 cases during 2001-2010: Report of the Committee on Causes of Death in Diabetes Mellitus. J Diabetes Investig 2017; 8: 397-410
23 Knight EL, Ofsthun N, Teng M. et al. The association between mental health, physical function, and hemodialysis mortality. Kidney Int 2003; 63: 1843-1851
24 Kurita N, Akizawa T, Fukuhara S. Vitality measured as self-reported energy level and clinical outcomes in hemodialysis patients: The Japanese Dialysis Outcomes and Practice Pattern Study (J-DOPPS). Am J Kidney Dis 2019; 73: 486-495 doi:10.1053/j.ajkd.2018.10.001
25 Li CL, Chang HY, Hsu CC. et al. Joint predictability of health related quality of life and leisure time physical activity on mortality risk in people with diabetes. BMC Public Health 2013; 13: 67