Open Access
Issue |
BIO Web Conf.
Volume 153, 2025
The 3rd IPB International Conference on Nutrition and Food (ICNF 2024)
|
|
---|---|---|
Article Number | 02028 | |
Number of page(s) | 7 | |
Section | Community Nutrition | |
DOI | https://doi.org/10.1051/bioconf/202515302028 | |
Published online | 28 January 2025 |
- P. Mumthaj, P. Natarajan, A.M. Janani, J. Vijay, V. Gokul, A global review article on hyperlipidemia. Int. J. Pharm. Sci. Rev. Res. 68, 1 (2021). httpS://doi.org/10.47583/ijpsrr.2021.v68i01.018 [Google Scholar]
- Kemenkes RI, Laporan nasional riskesdas (Kementerian Kesehatan RI, Jakarta, 2018) [Google Scholar]
- A. Fathima, F. Khanum, Obesity – an overview. Int. J. Life Sci. Res. 7, 4–9. ISSN 2348-3148 [Google Scholar]
- M. Nikparvar, M Khaladeh, H Yousefi, F M Vahid, B Moayedi, M Kheirandish, Dyslipidemia and its associated factors in southern Iranian women, Bander-kong cohort study, a cross-sectional survey, Sci. Rep. 11, 9125 (2021). https://doi.org/10.1038/s41598-021-88680-z [CrossRef] [Google Scholar]
- Y Buzdagli, A Tekin, C D Eyipinar, F Öget, E Siktar. The effect of different types of exercise on blood lipid profiles: A meta-analysis of randomized controlled studiesEffet de différentes variétés d’exercice sur le profil lipidique sanguin : méta-analyse des études randomisées contrôlées. Sci Sport. 37, 675–687 (2022). https://doi.org/10.1016/j.scispo.2022.07.005 [CrossRef] [Google Scholar]
- R Feng, S Du, Y Chen, S Zheng, W Zhang, G Na, Y Li, C Sun. Sci. Rep. 5, 16919 (2015). https://doi.org/10.1038/srep16919 [CrossRef] [Google Scholar]
- K Melzer, Carbohydrate and fat utilization during rest and physical activity. J e-SPEN. 6, 45–52 (2011). https://doi.org/10.1016/j.eclnm.2011.01.005 [Google Scholar]
- P M Kris-Etherton, AHA Science Advisory. Monounsaturated fatty acids and risk of cardiovascular disease. J AHA Circulation. 100, 1253–8 (1999). https://doi.org/10.1161/01.cir.100.11.1253 [CrossRef] [PubMed] [Google Scholar]
- K. Sartorius, B Sartorius, T E Madiba, S Stefan, Does high-carbohydrate intake lead to increased risk of obesity? A systematic review and meta-analysis. BMJ Open. 8, e018449 (2018). http://dx.doi. org/10.1136/bmjopen-2017- 018449) [CrossRef] [PubMed] [Google Scholar]
- S J Song, Y J Lee, Y J Song, Association between dietary carbohydrate intake and cardiovascular risk factors according to low-density lipoprotein cholesterol levels in korean adults, Korean J Health Promot. 20, 182-193. (2020). https://doi.org/10.15384/kjhp.2020.20.4.182 [CrossRef] [Google Scholar]
- V O Polacow, A H L Junior, High-carbohydrate diets: effects on lipid metabolism, body adiposity and its association with physical activity and cardiovascular disease risk. Arq Bras Endocrinol Metabol. 51, 389-400 (2007). https://doi.org/10.1590/S0004- 27302007000300006 [CrossRef] [PubMed] [Google Scholar]
- K Musunuru, Atherogenic dyslipidemia: cardiovascular risk and dietary intervention. Lipids. 45, 907-914 (2010). https://doi.org/10.1007/s11745-010-3408-1 [CrossRef] [PubMed] [Google Scholar]
- J A Little, K Graves, C M Suchindran, J Milner, V McGuire, G Beaton, T Feather, F H Mattson, D Christiansen, O D Williams, Customary diet, anthropometry, and dyslipoproteinemia in selected North American populations. The Lipid Research Clinics Program Prevalence Study. Circ. 73, I80-90 (1986). PMID: 3940686. [Google Scholar]
- C R Stephens, J F Easton, C A Robles, R Fossion, L D L Cruz, R Martínez-Tapia, A Barajas-Martínez, A Hernández-Chávez, J A López-Rivera, A L Rivera, The Impact of Education and Age on Metabolic Disorders. fpubh. 8 (2020). https://doi.org/10.3389/fpubh.2020.00180 [Google Scholar]
- K.S. Reddy, D. Prabhakaran, P Jeemon, K R Thankappan P. Joshi, V Chaturvedi, L Ramakrishnan, F Ahmed, Educational status and cardiovascular risk profile in Indians. PNAS. 104,16263-16268 (2007). https://doi.org/10.1073/pnas.0700933104 [CrossRef] [PubMed] [Google Scholar]
- C M J Cho, H J Lee, J S Shim, B M Song, H C Kim. Associations between age and dyslipidemia are differed by education level: The Cardiovascular and Metabolic Diseases Etiology Research Center (CMERC) cohort. Lipids Health Dis. 19, 1-12 (2020). https://doi.org/10.1186/s12944-020-1189-y [CrossRef] [Google Scholar]
- M P Brandão, F L Pimentel, M F Cardoso. Impact of academic exposure on health status of university students. Rev Saude Publica. 45, 49-58 (2011). https://doi.org/10.1590/s0034-89102011000100006 [CrossRef] [PubMed] [Google Scholar]
- P M Kris-Etherton. Monounsaturated fatty acids and risk of cardiovascular disease. J AHA Circulation. 100, 1253–8 (1999). https://doi.org/10.1161/01.CIR.100.11.1253 [CrossRef] [PubMed] [Google Scholar]
- I G A N Danuyanti, Z S A Fahrurozzi, Dietary Fibres and Dyslipidemia, (Dietary Fibers, Sri Lanka, 2022) [Google Scholar]
- Y Han, K Jang, U Kim, X Huang, M Kim, The Possible Effect of Dietary Fiber Intake on the Metabolic Patterns of Dyslipidemia Subjects: Cross-Sectional Research Using Nontargeted Metabolomics. J Nutr. 153, 2552-2560 (2023). https://doi.org/10.1016/j.tjnut.2023.07.014 [CrossRef] [Google Scholar]
- T B V Itallie, Dietary fiber and obesity. Am J Clin Nutr. S43-52 (1978). https://doi.org/10.1093/ajcn/31.10.S43 [Google Scholar]
- W J Bulsiewicz. The Importance of Dietary Fiber for Metabolic Health. Am J Lifestyle Med. 17, 639-648 (2023). https://doi.org/10.1177/15598276231167778 [CrossRef] [PubMed] [Google Scholar]
- M Sarker, M Rahman, Dietary fiber and obesity management - a review. Med Crave. 7, 295-297 (2017). https://doi.org/10.15406/aowmc.2017.07.00199 [Google Scholar]
- M Wang, M Liu, F Li, C Guo, Z Liu, Y Pan, Gender heterogeneity in dyslipidemia prevalence, trends with age and associated factors in middle age rural Chines. J Lipids Health Dis. 19 (2020). https://doi.org/10.1186/s12944-020-01313-8 [Google Scholar]
- B R Joshi, T Yadav, A K Amit, S Rizal, Gender Differences in Lipid Profile in Dyslipidemic Patients Visiting Hetauda Hospital. Medphoenix. 9, 7-11 (2024). https://doi.org/10.3126/medphoenix.v9i1.67178 [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.