Affiliation:
1. Department of Ophthalmology, Peking University Third Hospital, 49 North Garden Road, Haidian, Beijing 100191, China
2. Department of Ophthalmology, Beijing Fengtai Hospital, 1 Xi’an Street, Fengtai Town, Fengtai, Beijing 100071, China
3. Department of Ophthalmology, Huabei Petroleum General Hospital, Battle Road, Renqiu 062550, Hebei, China
4. Independent Researcher, Hebei, China
5. Department of Ophthalmology, The Hospital of Shunyi District Beijing, 3 Guangming South Street, Shunyi, Beijing 101300, China
6. Department of Ophthalmology, Hebei Eye Hospital, 399 Quanbeidong Street, Xingtai 054001, Hebei, China
Abstract
Background. With the development of the economy, socioeconomic factors, such as inequalities in the status of regional economies and the subsequent effects on health systems, have influenced the status of health. We explored the association between age-related cataracts and socioeconomic indicators, including the regional economy, health systems, and energy industries. Methods. This was a prospective, multicenter, Chinese population-based, cross-sectional study. A total of 830 participants from seven centers were enrolled. Data on the best-corrected visual acuity (BCVA), Lens Opacities Classification System III (LOCS III) score, Visual Function Index-14 (VF-14) score, total and subscale scores of the 25-item National Eye Institute Visual Functioning Questionnaire (NEI-VFQ-25), per capita disposable income (PCDI), medical resource-related indicators, and investments in the energy industry were obtained. Associations among these parameters were analyzed. Results. The PCDI ranking was correlated with the VF-14 score (R = −0.426,
), total score of NEI-VFQ-25 (r = −0.500,
), and BCVA (r = 0.278,
). The number of health agencies (r1 = 0.267, r2 = −0.303, r3 = −0.291,), practicing or assistant practicing doctors (r1 = -0.283, r2 = 0.427, r3 = 0.502,), registered nurses (r1 = −0.289, r2 = 0.409, r3 = 0.469,
), and health technicians (r1 = −0.278, r2 = 0.426, r3 = 0.500,
) per 10,000 of the population was each correlated with the BCVA, VF-14 score, and total score of NEI-VFQ-25, respectively. Health expenditure per capita was correlated with the VF-14 score (r = 0.287,
) and total score of NEI-VFQ-25 (r = 0.459,
). The LOCS III P score was correlated with investments in the energy industry (r = 0.485,
). Conclusions. Patients in higher economic regions with greater medical resources show a greater demand to undergo cataract surgery at a better subjective and objective visual function. The energy industry has a significant effect on cataracts, especially the posterior subcapsular cataract, and thus more attention should be paid to people in regions with abundant energy industries.
Funder
Capital’s Funds for Health Improvement and Research