Dietary phytochemical index and its relationship with diabetic sensorimotor polyneuropathy: a case-control study

• Published in: Scientific reports Vol. 14; no. 1; pp. 21688 - 9
• Main Authors: Asadi, Sasan, Shiva, Fahimeh, Mohtashamian, Abbas, Fallah, Melika, Nourimajd, Saeedeh, Aminianfar, Azadeh, Asadi, Sara
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 17.09.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 692/163; 692/617; 692/699; Adult; Antioxidants; Blood levels; Case studies; Case-Control Studies; Diabetes; Diabetes mellitus; Diabetic Neuropathies - etiology; Diabetic neuropathy; Diabetic sensory-motor polyneuropathy; Diet; Dietary intake; Dietary phytochemicals; Energy intake; Female; Food; Food intake; Humanities and Social Sciences; Humans; Legumes; Male; Middle Aged; Motor task performance; multidisciplinary; Neuropathy; Physical activity; Phytochemicals; Phytochemicals - analysis; Polyneuropathy; Scandals; Science; Science (multidisciplinary); Sensorimotor system; Type 2 diabetes; Antioxidants; Type 2 diabetes; Dietary phytochemicals; Diabetic sensory-motor polyneuropathy
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-024-72602-w

Phytochemicals are compounds found in fruits, vegetables, whole grains, nuts and legumes that are non-nutritive but have bioactive properties. A high intake of these compounds is essential for optimal health and disease prevention. No study has investigated the association between Dietary Phytochemical Index (DPI) and polyneuropathy in patients with diabetes. This study aimed to examine the association between DPI and Diabetic Sensory-motor Polyneuropathy (DSPN) in a case-control study. In this case-control study, a total of 185 diabetic patients with DSPN (case group) and 185 sex- and age-matched diabetic patients without neuropathy (control group) were enrolled in this study. Participants were 30–60 years old. A validated food frequency questionnaire was used to measure the dietary intake of all participants. Daily energy derived from phytochemical-rich foods was used to calculate the DPI score. Toronto clinical neuropathy score was applied to define DSPN. Anthropometric data and fasting blood glucose levels were measured using standard methods. The Binary logistic regression was used to estimate Crude and multivariable-adjusted OR (95% CI) for DSPN across tertiles of DPI for the whole population. In the crude model, there was a significant trend across the tertile of DPI (OR highest vs. lowest tertile of DPI  = 0.33; 95%CI 0.18, 0.52; P -trend < 0.001). After controlling for age, sex, and energy, a significant reverse association was observed between DPI and DSPN (OR highest vs. lowest tertile of DPI  = 0.27; 95%CI 0.15, 0·48; P -trend < 0.001). Moreover, after adjusting for a wide range of confounding variables such as energy intake, physical activity, education, smoking status, and HbA1c, participants in the third tertile of DPI had 75% reduced odds for DSPN (95%CI 0.14, 0.45; P -trend < 0.001). Finally in the full adjusted model, after further adjustment for BMI, observed significant association was remained (OR highest vs. lowest tertile of DPI : 0.24; 95% CI 0.13, 0.14; P -trend < 0.001). Higher intakes of phytochemical-rich foods are associated with lower odds of DSPN.