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. 2024 Mar 1;5(3):e235445.
doi: 10.1001/jamahealthforum.2023.5445.

Income Level and Impaired Kidney Function Among Working Adults in Japan

Affiliations

Income Level and Impaired Kidney Function Among Working Adults in Japan

Nana Ishimura et al. JAMA Health Forum. .

Abstract

Importance: Chronic kidney disease (CKD) is a major public health issue, affecting 850 million people worldwide. Although previous studies have shown the association between socioeconomic status and CKD, little is known about whether this association exists in countries such as Japan where universal health coverage has been mostly achieved.

Objective: To identify any association of income-based disparity with development of impaired kidney function among the working population of Japan.

Design, setting, and participants: This was a nationwide retrospective cohort study of adults aged 34 to 74 years who were enrolled in the Japan Health Insurance Association insurance program, which covers approximately 40% of the working-age population (30 million enrollees) in Japan. Participants whose estimated glomerular filtration rate (eGFR) had been measured at least twice from 2015 to 2022 were included in the analysis, which was conducted from September 1, 2021, to March 31, 2023.

Exposure: Individual income levels (deciles) in the fiscal year 2015.

Main outcomes and measures: Odds ratios were calculated for rapid CKD progression (defined as an annual eGFR decline of more than 5 mL/min/1.73 m2), and hazard ratios, for the initiation of kidney replacement therapy (dialysis or kidney transplant) by income level deciles in the fiscal year 2015.

Results: The study population totaled 5 591 060 individuals (mean [SD] age, 49.2 [9.3] years) of whom 33.4% were female. After adjusting for potential confounders, the lowest income decile (lowest 10th percentile) demonstrated a greater risk of rapid CKD progression (adjusted odds ratio, 1.70; 95% CI, 1.67-1.73) and a greater risk of kidney replacement therapy initiation (adjusted hazard ratio, 1.65; 95% CI, 1.47-1.86) compared with the highest income decile (top 10th percentile). A negative monotonic association was more pronounced among males and individuals without diabetes and was observed in individuals with early (CKD stage 1-2) and advanced (CKD stage 3-5) disease.

Conclusions and relevance: The findings of this retrospective cohort study suggest that, even in countries with universal health coverage, there may be a large income-based disparity in the risk of rapid CKD progression and initiation of kidney replacement therapy. These findings highlight the importance of adapting CKD prevention and management strategies according to an individual's socioeconomic status, even when basic health care services are financially guaranteed.

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Conflict of interest statement

Conflict of Interest Disclosures: Dr Inoue reported grants from the Japan Society for the Promotion of Science (No. 22K17392), the Japan Agency for Medical Research and Development (No. JP22rea522107), and the Japan Science and Technology (JST PRESTO; JPMJPR23R2) outside the submitted work. No other disclosures were reported.

Figures

Figure 1.
Figure 1.. Association Between Individual Income Levels and Rapid Chronic Kidney Disease (CKD) Progression
The y-axis shows the log scale of the odds ratio; circles are the point estimates; and error bars indicate the 95% CIs. The model was adjusted for age, sex, smoking, body mass index, waist circumference, hemoglobin, systolic blood pressure, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, blood glucose, uric acid, diabetes, hypertension, cardiovascular disease, cancer, dyslipidemia, hyperuricemia, and prefecture. The lowest income groups showed the largest odds ratio for rapid CKD progression, and the association was negative monotonic.
Figure 2.
Figure 2.. Association Between Individual Income Levels and Initiation of Kidney Replacement Therapy (KRT)
The y-axis shows the log scale of the hazard ratio; circles are the point estimates; and error bars indicate the 95% CIs. The model was adjusted for age, sex, smoking, body mass index, waist circumference, hemoglobin, systolic blood pressure, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, blood glucose, uric acid, diabetes, hypertension, cardiovascular disease, cancer, dyslipidemia, hyperuricemia, and prefecture. The lowest income groups showed the largest hazard ratio for initiation of KRT, and the association was negative monotonic with a gradual slope.
Figure 3.
Figure 3.. Subgroup Analysis for the Association Between Income and Impaired Kidney Function, by Sex
A and B show adjusted odds ratio for rapid CKD progression by income levels; and C and D, adjusted hazard ratio for the initiation of KRT by income levels. The y-axis shows the log scale of the odds ratio (A, B) and the hazard ratio (C, D); circles are the point estimates; and error bars indicate the 95% CIs. An income decile of 1 indicates the lowest, and 10 indicates the highest. Volumes were adjusted for age, smoking, body mass index, waist circumference, hemoglobin, systolic blood pressure, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, blood glucose, uric acid, diabetes, hypertension, cardiovascular disease, cancer, dyslipidemia, hyperuricemia, and prefecture. Males showed a stronger association between individual income and impaired kidney function than females, while both subgroups showed a clear negative monotonic association for rapid CKD progression. Although an increased risk for initiation of KRT was observed in the first to second decile of income levels in both sexes, the trend was not clear, particularly for female individuals due to a small number of events. P for interaction was detected as <.001 for rapid CKD progression and 0.12 for initiation of KRT. CKD indicates chronic kidney disease; KRT, kidney replacement therapy.
Figure 4.
Figure 4.. Subgroup Analysis for the Association Between Income and Impaired Kidney Function by Diabetes Status
A and B show adjusted odds ratio for rapid CKD progression by income levels; and C and D, adjusted hazard ratio for the initiation of KRT by income levels. The y-axis shows the log scale of the odds ratio (A, B) and hazard ratio (C, D); circles are the point estimates; and error bars indicate the 95% CIs. An income decile of 1 indicates the lowest, and 10 indicates the highest. Volumes were adjusted for age, sex, smoking, body mass index, waist circumference, hemoglobin, systolic blood pressure, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, blood glucose, uric acid, hypertension, cardiovascular disease, cancer, dyslipidemia, hyperuricemia, and prefecture. CKD indicates chronic kidney disease; KRT, kidney replacement therapy. Individuals without diabetes showed a stronger association between individual income levels and impaired kidney function than did individuals with diabetes. Although a negative monotonic association was observed among individuals without diabetes, the first to fifth deciles among individuals with diabetes showed a similar risk for impaired kidney function, with a more gradual slope across income levels. P for interaction was detected as <.001 for rapid CKD progression and .06 for initiation of KRT. CKD indicates chronic kidney disease; KRT, kidney replacement therapy.

References

    1. Jager KJ, Kovesdy C, Langham R, Rosenberg M, Jha V, Zoccali C. A single number for advocacy and communication—worldwide more than 850 million individuals have kidney diseases. Kidney Int. 2019;96(5):1048-1050. doi:10.1016/j.kint.2019.07.012 - DOI - PubMed
    1. Kovesdy CP. Epidemiology of chronic kidney disease: an update 2022. Kidney Int Suppl. 2022;12(1):7-11. - PMC - PubMed
    1. Foreman KJ, Marquez N, Dolgert A, et al. . Forecasting life expectancy, years of life lost, and all-cause and cause-specific mortality for 250 causes of death: reference and alternative scenarios for 2016-40 for 195 countries and territories. Lancet. 2018;392(10159):2052-2090. doi:10.1016/S0140-6736(18)31694-5 - DOI - PMC - PubMed
    1. Braun L, Sood V, Hogue S, Lieberman B, Copley-Merriman C. High burden and unmet patient needs in chronic kidney disease. Int J Nephrol Renovasc Dis. 2012;5:151-163. - PMC - PubMed
    1. Webster AC, Nagler EV, Morton RL, Masson P. Chronic kidney disease. Lancet. 2017;389(10075):1238-1252. doi:10.1016/S0140-6736(16)32064-5 - DOI - PubMed