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©The Author(s) 2023.
World J Diabetes. Oct 15, 2023; 14(10): 1493-1501
Published online Oct 15, 2023. doi: 10.4239/wjd.v14.i10.1493
Published online Oct 15, 2023. doi: 10.4239/wjd.v14.i10.1493
Publication year | Objective(s) | Design | Data collection | Results | Ref. |
2013 | The study examined the association between neighborhood-level poverty and hospital admission rates for T2DM in Rhode Island | Longitudinal study | Rhode Island’s hospital discharge data | The study found that poverty increased from 3% to 40%, and the associated diabetes admission rates increased from less than 2% to 30% per 1000 residents | [9] |
2011 | The study examined ‘‘upstream’’ influences (the social determinants of health) that contribute to ‘‘downstream’’ health disparities, focusing on variations in T2DM risk | Exploratory study | Mixed data collection of focus group and survey | The results showed that the most significant barriers to health and the source of T2DM disparities in the target population were structural. In other words, they were derived from the conditions within which individuals live, work, and play | [17] |
2002 | The study investigated the profile of diabetes and its complications | Comparative study | Medical diagnosis | The results revealed that the prevalence of diabetes and impaired glucose tolerance was substantially lower among the low-income group than in the high-income group | [19] |
2012 | The study assessed the relationship between SES and T2DM in India | Cross-sectional survey | Self-reporting diabetes status | The study revealed that individuals with the highest SES seem to be at extreme risk for T2DM | [20] |
2012 | The study sought to determine whether inequality of income was connected with diabetes prevalence and inequality of care under a national health insurance program in Asia | Cross-sectional survey | National Health Insurance Scheme | The study revealed that the prevalence of diabetes was higher in low-income earners compared to middle-income counterparts | [21] |
2014 | The study examined the role of neighborhood poverty and racial composition in predicting race differences in diabetes incidence | Cross-sectional survey | The National Health and Nutrition Examination Survey, medical examination and interview | The study found that poverty was positively associated with diabetes for both Black and White people. Residing in a poor neighborhood amplified the odds of having diabetes for Black and White people | [22] |
2019 | It evaluated socioeconomic disparities in undiagnosed, diagnosed, and total diabetes as well as lifestyle variables as contributing factors to diabetes disparities in South Africa | Cross-sectional study | South African National Health and Nutrition Examination Survey | As measured by self-reported clinical data, diabetes was more prevalent among higher socioeconomic groups in South Africa | [23] |
2023 | This study compared rural-urban differentials in prevalence and lifestyle factors associated with pre-diabetes and diabetes in the elderly in southwest China | Cross-sectional health interview and examination survey | Anthropometric measurements as well as blood pressure and fasting blood glucose measurements | The study revealed that the incidence of pre-diabetes and diabetes was higher among urban older adults compared to their rural contemporaries in southwest China | [24] |
2023 | The study examined the trends in income-related inequalities in diabetes prevalence and identified the contribution of determining factors | Estimation of income-related inequalities in diagnosed diabetes | National Health Interview Survey | The study revealed that diabetes was more prevalent in low-income populations |
- Citation: Eseadi C, Amedu AN, Ilechukwu LC, Ngwu MO, Ossai OV. Accessibility and utilization of healthcare services among diabetic patients: Is diabetes a poor man’s ailment? World J Diabetes 2023; 14(10): 1493-1501
- URL: https://www.wjgnet.com/1948-9358/full/v14/i10/1493.htm
- DOI: https://dx.doi.org/10.4239/wjd.v14.i10.1493