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Li XY, Zhang YX, Wang XB, Nan YX, Wang DD, Sun MH, Chen HY, Guo RH, Leng X, Du Q, Pan BC, Wu QJ, Zhao YH. Associations between dietary macronutrient quality and asthenozoospermia risk: a hospital-based case-control study. Food Funct 2024; 15:6383-6394. [PMID: 38819120 DOI: 10.1039/d4fo01234h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2024]
Abstract
Background & aims: Macronutrients are the main part of the human diet and can affect multiple health outcomes. Nevertheless, associations between dietary macronutrient quality and asthenozoospermia risk have not been reported to date. Thus, this study aimed to be the first to explore the associations between macronutrient quality and asthenozoospermia risk using the novel multidimensional macronutrient quality index (MQI). Methods: A case-control study was conducted at infertility clinics of Shengjing Hospital of China Medical University during June and December 2020, including 552 asthenozoospermia cases and 585 normozoospermia controls. Data on diet were collected using a validated food frequency questionnaire. MQI was estimated according to the carbohydrate quality index (CQI), fat quality index (FQI), and protein quality index (PQI). Binary logistic regression models were performed to calculate the odds ratio (OR) with a 95% confidence interval (CI). Subgroup and interaction analyses were performed based on age, body mass index, physical activity, smoking, drinking, and education level. Dose-response relationships were evaluated by restricted cubic splines. Sensitivity analyses were performed in two ways. First, participants with a dietary change were excluded to lower potential reverse causation. Then, we used the healthy plate protein source quality index instead of PQI to redefine MQI. Results: No statistically significant association was observed between dietary MQI and asthenozoospermia risk (OR = 1.24, 95% CI: 0.88-1.73). The sub-indices of MQI, CQI, FQI, and PQI, failed to be identified as having a statistically significant association with asthenozoospermia risk (OR = 1.35, 95% CI: 0.92-1.97 for CQI; OR = 1.13, 95% CI: 0.84-1.53 for FQI; OR = 1.28, 95% CI: 0.92-1.78 for PQI). However, CQI showed a positive association with the risk of asthenozoospermia among non-drinkers (Ptrend < 0.05) and highly educated participants (OR = 1.82, 95% CI: 1.13-2.94; Ptrend < 0.05). Additionally, there was a multiplicative interaction between CQI and education level for asthenozoospermia risk (P < 0.05). Conclusions: Our findings demonstrated no association of MQI and its sub-indices with asthenozoospermia risk except for CQI. Although our findings are mostly non-significant, they contribute novel knowledge to this research field and lay the foundation for future studies.
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Affiliation(s)
- Xiao-Ying Li
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Xiao Zhang
- Department of Urology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Xiao-Bin Wang
- Center for Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Yu-Xin Nan
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Dong-Dong Wang
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ming-Hun Sun
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Hong-Yu Chen
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
| | - Ren-Hao Guo
- Center for Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Xu Leng
- Center for Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Qiang Du
- Center for Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Bo-Chen Pan
- Center for Reproductive Medicine, Shengjing Hospital of China Medical University, Shenyang, China.
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
- NHC Key Laboratory of Advanced Reproductive Medicine and Fertility (China Medical University), National Health Commission, Shenyang, China
| | - Yu-Hong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China.
- Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning, China
- Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China
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Maghoul A, Khonsari NM, Asadi S, Abdar ZE, Ejtahed HS, Qorbani M. Dietary carbohydrate quality index and cardio-metabolic risk factors. INT J VITAM NUTR RES 2024; 94:377-393. [PMID: 38009678 DOI: 10.1024/0300-9831/a000794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Introduction: Improving the quality of diet is known as one of the practical ways to reduce cardio-metabolic risk factors (CMRFs). The carbohydrate quality index (CQI) is a relatively new index to evaluate diet quality. It is calculated based on the ratio of solid carbohydrates to total carbohydrates, dietary fibre intake, glycemic index and the ratio of whole grains to total grains. This systematic review and meta-analysis was designed to investigate the association between dietary CQI and CMRFs. Methods: In this systematic review, some international databases, including Scopus, PubMed, EMBASE, Web of Science, and Google Scholar up to July 2022, were searched according to appropriate keywords. All observational studies with an English full text assessing the association between the dietary CQI and CMRFs were included. Two researchers independently extracted the data and assessed the quality of the articles with the Newcastle-Ottawa Scale. Random/fixed-effect meta-analysis was used to pool standardized mean difference (SMD) as an effect size. Results: 11 studies with a total of 63962 subjects were found to be eligible and included in the qualitative synthesis; only BMI, WC and metabolic syndrome reached the threshold of 3 reports with the same effect size and thus only 5 were included in the meta-analysis. The main finding of the included studies was that there were inverse associations between CQI and CMRFs, mainly obesity, glucose metabolism indices, and blood pressure. In the five studies included in the random effect meta-analysis, the association between CQI and body mass index (SMD: 0.45, 95%CI: -0.12, 1.01), waist circumference (SMD: -0.09, 95%CI: -0.34, 0.15) and metabolic syndrome (SMD: 0.63, 95%CI: -0.01, 1.28) was not statistically significant. Conclusion: Although the qualitative findings support the positive association of CQI with CMRFs, the evidence is insufficient to conclude robust findings. Further observational and interventional studies are needed to clearly elucidate this association.
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Affiliation(s)
- Arman Maghoul
- Non-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | | | - Sasan Asadi
- Department of Community Medicine, School of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Kurdistan Province, Iran
| | - Zahra Esmaeili Abdar
- Non-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
| | - Hanieh-Sadat Ejtahed
- Obesity and Eating Habits Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
- Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Mostafa Qorbani
- Non-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran
- Chronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
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Zheng G, Gong TT, Ma QP, Wei YF, Du ZD, Zhao JQ, Zou BJ, Yan S, Liu FH, Sun ML, Xiao Q, Gao S, Wu QJ, Zhao YH. The association of macronutrient quality and its interactions with energy intake with survival among patients with ovarian cancer: results from a prospective cohort study. Am J Clin Nutr 2023:S0002-9165(23)46306-X. [PMID: 37001589 DOI: 10.1016/j.ajcnut.2023.03.023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 03/07/2023] [Accepted: 03/22/2023] [Indexed: 03/31/2023] Open
Abstract
BACKGROUND Emerging evidence supports shifting the focus from the quantity of macronutrients to quality to obtain greater benefits for the prognosis of ovarian cancer (OC). Additionally, despite the high relevance between macronutrient quality and quantity, the interaction of these parameters on OC survival remains unknown. OBJECTIVE A multidimensional macronutrient quality index (MQI) was applied to investigate the association between overall macronutrient quality and the survival of patients with OC. METHODS A prospective cohort study was conducted with 701 females diagnosed with OC who were enrolled from 2015 to 2020. Dietary intake information was obtained from a validated food frequency questionnaire. The MQI was calculated based on 3 quality indices: carbohydrate quality index (CQI), fat quality index (FQI), and protein quality index (PQI). Cox proportional hazards regression was conducted to calculate HRs and 95% CIs. Furthermore, we evaluated whether energy intake status (total energy intake and energy balance) modified the association between MQI and OC survival. RESULTS During a median follow-up period of 38 (interquartile: 35-40) mo, 130 deaths occurred. The prediagnosis high MQI scores were associated with substantially improved survival among females with OC (HRtertile 3 vs. tertile 1 = 0.50, 95% CI: 0.33, 0.77). For sub-indices of the MQI, higher CQI (HR = 0.60, 95% CI: 0.36, 0.99), higher FQI (HR = 0.55, 95% CI: 0.34, 0.87), and higher PQI (HR = 0.58, 95% CI: 0.35, 0.94) scores were all associated with better survival. Notably, significant interactions were observed for the MQI score with total energy intake and energy balance as well as the quantity and quality of carbohydrates on survival. CONCLUSIONS Intake of high-quality macronutrients before diagnosis was associated with improved survival among females with OC, especially for those with energy imbalance. Am J Clin Nutr 2023;xxx:xx-xx.
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Affiliation(s)
- Gang Zheng
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Ting-Ting Gong
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi-Peng Ma
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Yi-Fan Wei
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Zong-Da Du
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Jun-Qi Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Bing-Jie Zou
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Shi Yan
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Fang-Hua Liu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China
| | - Ming-Li Sun
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qian Xiao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Song Gao
- Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China
| | - Qi-Jun Wu
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China; Department of Obstetrics and Gynecology, Shengjing Hospital of China Medical University, Shenyang, China; Key Laboratory of Reproductive and Genetic Medicine (China Medical University), National Health Commission, Shenyang, China.
| | - Yu-Hong Zhao
- Department of Clinical Epidemiology, Shengjing Hospital of China Medical University, Shenyang, China; Clinical Research Center, Shengjing Hospital of China Medical University, Shenyang, China; Liaoning Key Laboratory of Precision Medical Research on Major Chronic Disease, Liaoning Province, Shenyang, China.
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de la O V, Zazpe I, de la Fuente-Arrillaga C, Santiago S, Goni L, Martínez-González MÁ, Ruiz-Canela M. Association between a new dietary protein quality index and micronutrient intake adequacy: a cross-sectional study in a young adult Spanish Mediterranean cohort. Eur J Nutr 2023; 62:419-432. [PMID: 36085527 PMCID: PMC9899725 DOI: 10.1007/s00394-022-02991-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2021] [Accepted: 08/24/2022] [Indexed: 02/07/2023]
Abstract
PURPOSE There is no evidence of a dietary index that measures not only the quantity but also the quality of protein. The aim is to investigate the association between a new dietary protein quality index (PQI) and micronutrient intake adequacy in a Mediterranean cohort. DESIGN We assessed 17,535 participants' diet at baseline using a semi-quantitative FFQ. The PQI was calculated according to the ratio of protein (g/d) sources: [fish, seafood, lean meat, pulses, eggs, nuts, low-fat dairy, and whole grains]/[red and ultra-processed meats, whole-fat or semi-skimmed dairy, potatoes and refined grains]. Participants were classified into quintiles of PQI. We evaluated the intakes of Fe, Cr, I, K, Mg, Ca, P, Na, Se, Zn and vitamins A, B1, B2, B3, B6, B12, C, E and folic acid. Micronutrient adequacy was evaluated using DRIs. Logistic regression analysis was used to assess the micronutrient adequacy according to quintiles of PQI. RESULTS In this cross-sectional analysis, a total of 24.2% and 4.3% participants did not to meet DRIs in ≥ 4 and ≥ 8 micronutrients, respectively. The odds of failing to meet ≥ 4 and ≥ 8 DRI were lower in participants in the highest quintile of protein quality (OR = 0.22; IC 95% = 0.18, 0.26; P-trend < 0.001; and OR = 0.08; IC 95% = 0.05, 0.14; P-trend < 0.001, respectively) as compared to participants in the lowest quintile. CONCLUSION Higher PQI was found to be strongly associated with better micronutrient intake adequacy in this Mediterranean cohort. The promotion of high-quality protein intake may be helpful for a more adequate intake of micronutrients. The odds of failing to meet certain numbers of DRIs were lower rather than saying lower risk.
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Affiliation(s)
- Víctor de la O
- grid.5924.a0000000419370271Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain ,grid.413448.e0000 0000 9314 1427CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain ,grid.508840.10000 0004 7662 6114Navarra Institute for Health Research (IdiSNA), Pamplona, Spain ,grid.482878.90000 0004 0500 5302Cardiometabolic Nutrition Group, IMDEA Food, CEI UAM + CSIC, Madrid, Spain
| | - Itziar Zazpe
- grid.5924.a0000000419370271Department of Nutrition and Food Sciences and Physiology, Campus Universitario, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain ,grid.413448.e0000 0000 9314 1427CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain ,grid.508840.10000 0004 7662 6114Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Carmen de la Fuente-Arrillaga
- grid.5924.a0000000419370271Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain ,grid.413448.e0000 0000 9314 1427CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain ,grid.508840.10000 0004 7662 6114Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Susana Santiago
- grid.5924.a0000000419370271Department of Nutrition and Food Sciences and Physiology, Campus Universitario, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain ,grid.508840.10000 0004 7662 6114Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Leticia Goni
- grid.5924.a0000000419370271Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain ,grid.413448.e0000 0000 9314 1427CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain ,grid.508840.10000 0004 7662 6114Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
| | - Miguel Ángel Martínez-González
- grid.5924.a0000000419370271Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain ,grid.413448.e0000 0000 9314 1427CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain ,grid.508840.10000 0004 7662 6114Navarra Institute for Health Research (IdiSNA), Pamplona, Spain ,grid.38142.3c000000041936754XDepartment of Nutrition, Harvard TH Chan School of Public Health, Boston, MA USA
| | - Miguel Ruiz-Canela
- grid.5924.a0000000419370271Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain ,grid.413448.e0000 0000 9314 1427CIBER Fisiopatología de La Obesidad Y Nutrición (CIBEROBN), Instituto de Salud Carlos III (ISCIII), Madrid, Spain ,grid.508840.10000 0004 7662 6114Navarra Institute for Health Research (IdiSNA), Pamplona, Spain
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Hu C, Lin Z, Liu Z, Tang X, Song J, Lin J, Chen Y, Hu Z. Dietary fatty acid patterns and risk of oesophageal squamous cell carcinoma. PeerJ 2022; 10:e13036. [PMID: 35382006 PMCID: PMC8977065 DOI: 10.7717/peerj.13036] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 02/09/2022] [Indexed: 01/11/2023] Open
Abstract
Background To characterize and examine the associations between dietary fatty acid intake patterns and the risk of oesophageal squamous cell carcinoma (ESCC). Methods A total of 422 patients and 423 controls were recruited. Dietary fatty acids were entered into a factor analysis. Multivariable logistic regression and restricted cubic spline were used to evaluate the risk of ESCC specific for different dietary fatty acid patterns (FAPs). A forest plot was applied to show the association between FAPs and ESCC risk after stratification by lifestyle exposure factors (tobacco smoking, alcohol drinking, pickled food, fried food, hot food, hard food). Results The factor analysis generated four major fatty acid patterns: a medium- and long-chain SFA (MLC-SFA) pattern; an even-chain unsaturated fatty acid (EC-UFA) pattern, a saturated fatty acid (SFA) pattern and an n-3 long-chain polyunsaturated fatty acid (n-3 LC-PUFA) pattern. In the multivariate-adjusted model, the odds ratios (ORs) with 95% confidence intervals (CIs) of ESCC were 2.07 (1.31, 3.26) and 0.53 (0.34, 0.81) for the highest versus the lowest tertiles of the EC-UFA pattern and n-3 LC-PUFA pattern, respectively. The MLC-SFA and SFA patterns were not associated with ESCC. An association between FAPs and ESCC risk after stratification by lifestyle exposure factors was also observed. Conclusions Our study indicates that the EC-UFA pattern and n-3 LC-PUFA pattern intake are associated with ESCC, providing a potential dietary intervention for ESCC prevention.
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Affiliation(s)
- Chanchan Hu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China
| | - Zheng Lin
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China
| | - Zhiqiang Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China
| | - Xuwei Tang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China
| | - Jianyu Song
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China
| | - Jianbo Lin
- Department of Thoracic Surgery, The First Affiliated Hospital of Fujian Medical University, FuZhou, Fujian, China
| | - Yuanmei Chen
- Department of Thoracic Surgery, Fujian Medical University Cancer Hospital, FuZhou, Fujian, China
| | - Zhijian Hu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, Fujian, China,Key Laboratory of Ministry of Education for Gastrointestinal Cancer, Fujian Medical University, FuZhou, Fujian, China
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Vanegas P, Zazpe I, Santiago S, Fernandez-Lazaro CI, de la O V, Martínez-González MÁ. Macronutrient quality index and cardiovascular disease risk in the Seguimiento Universidad de Navarra (SUN) cohort. Eur J Nutr 2022; 61:3517-3530. [PMID: 35597843 PMCID: PMC9464119 DOI: 10.1007/s00394-022-02901-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Accepted: 04/27/2022] [Indexed: 11/29/2022]
Abstract
PURPOSE To assess the association between a multi-dimensional Macronutrient Quality Index (MQI) and the risk of cardiovascular disease (CVD) in a Mediterranean cohort. METHODS Prospective analyses among 18,418 participants (mean age 36 years, 60.8% women) of the Seguimiento Universidad de Navarra (SUN) cohort. Dietary intake information was obtained through a validated semi-quantitative food-frequency questionnaire (FFQ). The MQI (expressing high-quality macronutrient intake) was calculated based on three previously reported quality indices: the Carbohydrate Quality Index (CQI), the Fat Quality Index (FQI), and the Healthy Plate Protein source Quality Index (HPPQI). Adherence to the Mediterranean diet (MedDiet) and Provegetarian Diet was evaluated using the Trichopoulou index and the score proposed by Martínez-González, respectively. CVD was defined as new-onset stroke, myocardial infarction, or CVD death. RESULTS After a median follow-up time of 14 years (211,744 person-years), 171 cases of CVD were identified. A significant inverse association was found between the MQI and CVD risk with multivariable-adjusted HR for the highest vs. the lowest quartile of 0.60 (95% IC, 0.38-0.96; Ptrend = 0.024). CONCLUSION In this Mediterranean cohort, we found a significant inverse relationship between a multidimensional MQI (expressing high-quality macronutrient intake) and a lower risk of CVD.
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Affiliation(s)
- Paola Vanegas
- School of Pharmacy and Nutrition, Department of Nutrition and Food Sciences and Physiology, University of Navarra, Campus Universitario, 31080 Pamplona, Spain
| | - Itziar Zazpe
- School of Pharmacy and Nutrition, Department of Nutrition and Food Sciences and Physiology, University of Navarra, Campus Universitario, 31080 Pamplona, Spain ,School of Medicine, Department of Preventive Medicine and Public Health, University of Navarra, Campus Universitario, 31080 Pamplona, Spain ,IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Navarra Spain ,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Susana Santiago
- School of Pharmacy and Nutrition, Department of Nutrition and Food Sciences and Physiology, University of Navarra, Campus Universitario, 31080 Pamplona, Spain ,IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Navarra Spain
| | - Cesar I. Fernandez-Lazaro
- School of Medicine, Department of Preventive Medicine and Public Health, University of Navarra, Campus Universitario, 31080 Pamplona, Spain ,IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Navarra Spain
| | - Víctor de la O
- School of Medicine, Department of Preventive Medicine and Public Health, University of Navarra, Campus Universitario, 31080 Pamplona, Spain ,IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Navarra Spain ,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain
| | - Miguel Ángel Martínez-González
- School of Medicine, Department of Preventive Medicine and Public Health, University of Navarra, Campus Universitario, 31080, Pamplona, Spain. .,IdiSNA, Instituto de Investigación Sanitaria de Navarra, Pamplona, Navarra, Spain. .,CIBER Fisiopatología de la Obesidad y Nutrición (CIBERobn), Instituto de Salud Carlos III (ISCIII), Madrid, Spain. .,Department of Nutrition, Harvard T.H Chan School of Public Health, Boston, MA, USA.
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Diet Quality Indices in the SUN Cohort: Observed Changes and Predictors of Changes in Scores Over a 10-Year Period. J Acad Nutr Diet 2021; 121:1948-1960.e7. [PMID: 33906824 DOI: 10.1016/j.jand.2021.03.011] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2020] [Revised: 03/16/2021] [Accepted: 03/16/2021] [Indexed: 12/12/2022]
Abstract
BACKGROUND Dietary quality indices (DQI) are widely used in nutritional epidemiology. However, how they might change over time in a Mediterranean population is not well understood. OBJECTIVE To evaluate within-participant longitudinal changes in scores for nine a priori-defined DQIs: Fat Quality Index (FQI), Carbohydrate Quality Index (CQI), Pro-vegetarian Dietary Pattern (PVG), Mediterranean Diet Adherence Screener (MEDAS), Mediterranean Diet Score (MDS), Dietary Approaches to Stop Hypertension (DASH), Mediterranean-DASH Intervention for Neurodegenerative Delay Diet (MIND), Prime Diet Quality Score (PDQS) and Alternate Healthy Eating Index (AHEI-2010) in the "Seguimiento Universidad de Navarra" (SUN) cohort, a well-known Mediterranean cohort of university graduates, and to identify baseline predictors of improvement in MEDAS and AHEI-2010 after 10 years of follow-up. DESIGN In this longitudinal cohort study, DQI scores were calculated based on responses from a validated semiquantitative food-frequency questionnaire (FFQ). PARTICIPANTS/SETTING Spanish university graduates enrolled in the SUN cohort before March 2008, who completed the 10-year FFQ and reported total dietary intake at baseline and after 10 years of follow-up, included 2,244 men and 3,271 women, whose mean age at baseline was 36.3 years (standard deviation [SD], 10.7). MAIN OUTCOME MEASURES Main outcome measures were within-participant longitudinal changes for FQI, CQI, PVG, MEDAS, MDS, DASH, MIND, PDQS, and AHEI-2010. STATISTICAL ANALYSES PERFORMED Adjusted logistic regression models were used to evaluate within-participant longitudinal changes and to identify baseline predictors of improvements ≥10% in MEDAS and AHEI-2010 scores after 10 years of follow-up. RESULTS The comparison of the nine scores of DQI calculated at baseline and after 10 years of follow-up showed an improvement in all DQI scores except for PDQS. The greatest changes in DQIs were found for MEDAS (from 6.2 to 7.2, +22.9%) and MDS (from 4.3 to 4.4, +15.4%). The strongest predictors at baseline for ≥10% improvements in MEDAS or AHEI-2010 scores varied across indices. Being female, ≥35 years old, and more physically active at baseline were associated with improvement, whereas snacking between meals was associated with <10% improvements in both indices. CONCLUSIONS In this cohort, the changes in nine a priori-defined DQI scores suggested modest improvements in diet quality, in which MEDAS and MDS scores showed the largest improvements. Additional longitudinal studies, especially intervention trials with long follow-up, are warranted to establish the most appropriate DQIs to assess long-term changes in diet quality in adult populations.
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Santiago S, Zazpe I, Fernandez-Lazaro CI, de la O V, Bes-Rastrollo M, Martínez-González MÁ. Macronutrient Quality and All-Cause Mortality in the SUN Cohort. Nutrients 2021; 13:972. [PMID: 33802782 PMCID: PMC8002396 DOI: 10.3390/nu13030972] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 03/12/2021] [Accepted: 03/15/2021] [Indexed: 11/24/2022] Open
Abstract
No previous study has assessed the relationship between overall macronutrient quality and all-cause mortality. We aimed to prospectively examine the association between a multidimensional macronutrient quality index (MQI) and all-cause mortality in the SUN (Seguimiento Universidad de Navarra) (University of Navarra Follow-Up) study, a Mediterranean cohort of middle-aged adults. Dietary intake information was obtained from a validated 136-item semi-quantitative food-frequency questionnaire. We calculated the MQI (categorized in quartiles) based on three quality indexes: the carbohydrate quality index (CQI), the fat quality index (FQI), and the healthy plate protein source quality index (HPPQI). Among 19,083 participants (mean age 38.4, 59.9% female), 440 deaths from all causes were observed during a median follow-up of 12.2 years (IQR, 8.3-14.9). No significant association was found between the MQI and mortality risk with multivariable-adjusted hazard ratio (HR) for the highest vs. the lowest quartile of 0.79 (95% CI, 0.59-1.06; Ptrend = 0.199). The CQI was the only component of the MQI associated with mortality showing a significant inverse relationship, with HR between extreme quartiles of 0.64 (95% CI, 0.45-0.90; Ptrend = 0.021). In this Mediterranean cohort, a new and multidimensional MQI defined a priori was not associated with all-cause mortality. Among its three sub-indexes, only the CQI showed a significant inverse relationship with the risk of all-cause mortality.
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Grants
- (RD 06/0045, CIBER-OBN, Grants PI10/02658, PI10/02293, PI13/00615, PI14/01668, PI14/01798, PI14/01764, PI17/01795, PI20/00564 and G03/140), Instituto de Salud Carlos III and European Regional Development Fund (FEDER)
- (45/2011, 122/2014, 41/2016), and the University of Navarra the Navarra Regional Government
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Affiliation(s)
- Susana Santiago
- Department of Nutrition and Food Sciences and Physiology, Campus Universitario, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (S.S.); (I.Z.)
| | - Itziar Zazpe
- Department of Nutrition and Food Sciences and Physiology, Campus Universitario, School of Pharmacy and Nutrition, University of Navarra, 31008 Pamplona, Spain; (S.S.); (I.Z.)
| | - Cesar I. Fernandez-Lazaro
- Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (C.I.F.-L.); (V.d.l.O.); (M.B.-R.)
| | - Víctor de la O
- Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (C.I.F.-L.); (V.d.l.O.); (M.B.-R.)
| | - Maira Bes-Rastrollo
- Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (C.I.F.-L.); (V.d.l.O.); (M.B.-R.)
| | - Miguel Ángel Martínez-González
- Department of Preventive Medicine and Public Health, Campus Universitario, School of Medicine, University of Navarra, 31008 Pamplona, Spain; (C.I.F.-L.); (V.d.l.O.); (M.B.-R.)
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Choi E, Ahn S, Joung H. Association of Dietary Fatty Acid Consumption Patterns with Risk of Hyper-LDL Cholesterolemiain Korean Adults. Nutrients 2020; 12:E1412. [PMID: 32422908 PMCID: PMC7284755 DOI: 10.3390/nu12051412] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Revised: 05/08/2020] [Accepted: 05/12/2020] [Indexed: 11/20/2022] Open
Abstract
This study aimed to identify the association between the risk of hyper-LDL cholesterolemia (hyper-LDLC) and fatty acid consumption patterns (FACPs) using the data from the Korean Genome and Epidemiology Study (KoGES) prospective cohort. A total of 6542 middle-aged Korean adults were included in the analysis. Four FACPs were identified through principal component analysis of the reported intakes of 34 fatty acids (FAs): "long-chain FA pattern"; "short & medium-chain saturated fatty acid (SFA) pattern"; "n-3 polyunsaturated fatty acid (PUFA) pattern"; and "long-chain SFA pattern". The "long-chain SFA pattern" lowered the risk of hyper-LDLC (relative risk (RR), 0.82; 95% confidence interval (CI), 0.72-0.94; p for trend, 0.004) and the "short & medium-chain SFA pattern" increased the risk of hyper-LDLC (RR, 1.17; 95% CI, 1.03-1.32; p for trend = 0.004). In sex-stratified analyses, the associations of the "long-chain SFA pattern" (RR, 0.73; 95% CI, 0.58-0.93; p for trend = 0.007) and the "short & medium-chain SFA pattern" (RR, 1.34; 95% CI, 1.07-1.69; p for trend = 0.003) with the hyper-LDLC risk were observed only in men, but not in women. These results suggest that FACPs with a high intake of long-chain SFA or a low intake of short and medium-chain SFA may protect Korean adults from hyper-LDLC.
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Affiliation(s)
- Eunhee Choi
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea; (E.C.); (S.A.)
| | - Seoeun Ahn
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea; (E.C.); (S.A.)
| | - Hyojee Joung
- Department of Public Health Science, Graduate School of Public Health, Seoul National University, Seoul 08826, Korea; (E.C.); (S.A.)
- Institute of Health and Environment, Seoul National University, Seoul 08826, Korea
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Ojeda-Rodríguez A, Zazpe I, Alonso-Pedrero L, Zalba G, Guillen-Grima F, Martinez-Gonzalez MA, Marti A. Association between diet quality indexes and the risk of short telomeres in an elderly population of the SUN project. Clin Nutr 2019; 39:2487-2494. [PMID: 31767135 DOI: 10.1016/j.clnu.2019.11.003] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2019] [Revised: 10/28/2019] [Accepted: 11/04/2019] [Indexed: 12/12/2022]
Abstract
BACKGROUND Shorter telomeres are associated with several age-related diseases, and lifestyle factors could influence this relationship. The aim of this study was to examine associations between salivary telomere length (TL) and diet quality using 5 evidence-based dietary indexes in an elderly (>55 years old) Spanish population of the SUN project (n = 886). METHOD TL was measured using the quantitative real-time polymerase chain reaction. Age-adjusted TL variable through residuals methods was used for all analysis. Diet quality was assessed by the Prime Diet Quality Score (PDQS), Fat Quality Index (FQI), Mediterranean Diet Adherence Screener (MEDAS), Dietary Approaches to Stop Hypertension (DASH) index and the Alternative Healthy Eating Index (AHEI-2010). RESULTS TL did differ according to sex, smoking status, and dyslipidemia in elderly subjects of the SUN study. In addition, subjects with dyslipidemia (compared to absence of dyslipidemia) had a significantly higher risk (27% vs. 18%, p = 0.015) of short telomeres (<percentile 20th). Interestingly, a lower risk of having short telomeres was observed among participants in the top tertiles of the following diet quality score PDQS, MEDAS and DASH compared to the bottom tertiles in crude and adjusted models. Moreover, FQI and AHEI-2010 scores showed an inverse association with the risk of having short telomeres after adjustment for potential confounders (model adjusted for dyslipidemia interaction, p for trend = 0.025 and 0.021, respectively; and model additionally adjusted for sex and smoking status, p for trend = 0.033 and 0.029, respectively). CONCLUSION Adherence to high quality diet is associated to longer salivary TL in our elderly Spanish population of the SUN study.
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Affiliation(s)
- Ana Ojeda-Rodríguez
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, C/ Irunlarrea, 1, 31008, Pamplona, Spain; IdiSNA, Navarre's Institute for Health Research, C/Irunlarrea, 3, 31008, Pamplona, Spain.
| | - Itziar Zazpe
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, C/ Irunlarrea, 1, 31008, Pamplona, Spain; IdiSNA, Navarre's Institute for Health Research, C/Irunlarrea, 3, 31008, Pamplona, Spain; Department of Preventive Medicine and Public Health, School of Medicine-Clínica Universidad de Navarra, University of Navarra, C/ Irunlarrea, 1, 31008, Pamplona, Spain; Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain.
| | - Lucía Alonso-Pedrero
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, C/ Irunlarrea, 1, 31008, Pamplona, Spain; IdiSNA, Navarre's Institute for Health Research, C/Irunlarrea, 3, 31008, Pamplona, Spain.
| | - Guillermo Zalba
- IdiSNA, Navarre's Institute for Health Research, C/Irunlarrea, 3, 31008, Pamplona, Spain; Department of Biochemistry and Genetics, University of Navarra, C/ Irunlarrea, 1, 31008, Pamplona, Spain.
| | - Francisco Guillen-Grima
- IdiSNA, Navarre's Institute for Health Research, C/Irunlarrea, 3, 31008, Pamplona, Spain; Department of Health Sciences, Public University of Navarre, Avenida de Barañain, 31008, Pamplona, Spain; Department of Preventive Medicine, University of Navarra Clinic, C/Pío XII, 36, 31008, Pamplona, Spain.
| | - Miguel A Martinez-Gonzalez
- IdiSNA, Navarre's Institute for Health Research, C/Irunlarrea, 3, 31008, Pamplona, Spain; Department of Preventive Medicine and Public Health, School of Medicine-Clínica Universidad de Navarra, University of Navarra, C/ Irunlarrea, 1, 31008, Pamplona, Spain; Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain; Department of Nutrition, Harvard TH Chan School of Public Health, Boston, USA.
| | - Amelia Marti
- Department of Nutrition, Food Sciences and Physiology, University of Navarra, C/ Irunlarrea, 1, 31008, Pamplona, Spain; IdiSNA, Navarre's Institute for Health Research, C/Irunlarrea, 3, 31008, Pamplona, Spain; Biomedical Research Centre Network on Obesity and Nutrition (CIBERobn), Physiopathology of Obesity and Nutrition, Institute of Health Carlos III, Av. Monforte de Lemos, 3-5, 28029, Madrid, Spain.
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