1,435 results on '"Toriola AT"'
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2. Risk factors and health behaviors associated with loneliness among cancer survivors during the COVID-19 pandemic
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Aßmann, Elena S., Ose, Jennifer, Hathaway, Cassandra A., Oswald, Laura B., Hardikar, Sheetal, Himbert, Caroline, Chellam, Vimalkumar, Lin, Tengda, Daniels, Bailee, Kirchhoff, Anne C., Gigic, Biljana, Grossman, Douglas, Tward, Jonathan, Varghese, Jr., Thomas K., Shibata, David, Figueiredo, Jane C., Toriola, Adetunji T., Beck, Anna, Scaife, Courtney, Barnes, Christopher A., Matsen, Cindy, Ma, Debra S., Colman, Howard, Hunt, Jason P., Jones, Kevin B., Lee, Catherine J., Larson, Mikaela, Onega, Tracy, Akerley, Wallace L., Li, Christopher I., Grady, William M., Schneider, Martin, Dinkel, Andreas, Islam, Jessica Y., Gonzalez, Brian D., Otto, Amy K., Penedo, Frank J., Siegel, Erin M., Tworoger, Shelley S., Ulrich, Cornelia M., and Peoples, Anita R.
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- 2024
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3. Age-related differences in employment, insurance, and financial hardship among colorectal cancer patients: a report from the ColoCare Study
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Berghuijs, Karely M. van Thiel, Kaddas, Heydon K., Trujillo, Gillian, Rouhani, Gazelle, Chevrier, Amy, Ose, Jennifer, Shibata, David, Toriola, Adetunji T., Figueiredo, Jane C., Peoples, Anita R., Li, Christopher I., Hardikar, Sheetal, Siegel, Erin M., Gigic, Biljana, Schneider, Martin, Ulrich, Cornelia M., and Kirchhoff, Anne C.
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- 2024
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4. A machine learning approach for predicting critical factors determining adoption of offsite construction in Nigeria
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Wusu, Godoyon Ebenezer, Alaka, Hafiz, Yusuf, Wasiu, Mporas, Iofis, Toriola-Coker, Luqman, and Oseghale, Raphael
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- 2024
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5. ‘Goalkeepers are players too’: key attributes coaches’ look for in talented youth soccer goalkeepers
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Leago Lethole, Alliance Kubayi, Abel Toriola, Paul Larkin, and Joseph A. Stone
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Talent identification ,Tactical ,Psychological ,Elite level ,Sports medicine ,RC1200-1245 - Abstract
Abstract Objective Currently, there is a gap in knowledge on what the key goalkeeper attributes are during talent identification and selection in soccer. Hence, the objective was to investigate South African coaches’ perceptions regarding key attributes of talented youth soccer goalkeepers. Design Cross-sectional survey. Methods A total of 173 soccer coaches (130 men and 43 women; M age = 36.6 ± 10.4 years; M coaching experience = 8.4 ± 7.3 years) were purposively recruited to participate in the study. All of the participants completed the Talent Identification Questionnaire in Soccer – Goalkeepers (TIDQS-GK). Results The six-component solution identified by the principal component analysis accounted for 68.96% of the total variance. Coaches deemed psychological (e.g. concentration, bravery, self-discipline), physical (e.g. speed, flexibility), social (e.g. coachability, communication), technical (e.g. catching the ball, first touch), tactical (e.g. defensive organisation against set plays) and perceptual-cognitive skills (e.g. decision-making) as important factors in identifying talented goalkeepers. Conclusions The study offers new insights into the key attributes that soccer coaches look for in talented goalkeepers such as concentration, bravery, speed, coachability and decision-making and could direct coaches towards more objective evaluation strategies for informing their decisions.
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- 2024
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6. ASO Visual Abstract: Plasma Ceramide C24:0/C16:0 Ratio is Associated with Improved Survival in Patients with Pancreatic Ductal Adenocarcinoma
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Mitchell, Joshua D., Panni, Usman, Fergestrom, Nicole, Toriola, Adetunji T., Nywening, Timothy M., Goedegebuure, S. Peter, Jiang, Xuntian, Mudd, Jacqueline L., Cao, Yin, Ippolito, Joseph, Fields, Ryan C., Hawkins, William G., and Peterson, Linda R.
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- 2024
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7. ‘Goalkeepers are players too’: key attributes coaches’ look for in talented youth soccer goalkeepers
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Lethole, Leago, Kubayi, Alliance, Toriola, Abel, Larkin, Paul, and Stone, Joseph A.
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- 2024
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8. Untargeted lipidomics reveals racial differences in lipid species among women
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Pourali, Ghazaleh, Li, Liang, Getz, Kayla R., Jeon, Myung Sik, Luo, Jingqin, Luo, Chongliang, and Toriola, Adetunji T.
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- 2024
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9. Navigating challenges in spine surgery in Nigeria: the current state and strategies for advancing spine care
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Kankam, Samuel Berchi, Okon, Inibehe Ime, Habibzadeh, Adrina, Rehman, Ibad ur, Toriola, Olutayo, Gbayisomore, Tolulope Judah, Okesanya, Olalekan John, and Jalloh, Mohamed
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- 2024
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10. How does weight gain since the age of 18 years affect breast cancer risk in later life? A meta-analysis
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Han, Yunan, Otegbeye, Ebunoluwa E., Stoll, Carrie, Hardi, Angela, Colditz, Graham A., and Toriola, Adetunji T.
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- 2024
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11. Untargeted lipidomics reveals racial differences in lipid species among women
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Ghazaleh Pourali, Liang Li, Kayla R. Getz, Myung Sik Jeon, Jingqin Luo, Chongliang Luo, and Adetunji T. Toriola
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Lipidomics ,Lipids ,Non-Hispanic Black ,Non-Hispanic White ,Body Mass Index ,Women ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Abstract Understanding the biological mechanisms underlying racial differences in diseases is crucial to developing targeted prevention and treatment. There is, however, limited knowledge of the impact of race on lipids. To address this, we performed comprehensive lipidomics analyses to evaluate racial differences in lipid species among 506 non-Hispanic White (NHW) and 163 non-Hispanic Black (NHB) women. Plasma lipidomic profiling quantified 982 lipid species. We used multivariable linear regression models, adjusted for confounders, to identify racial differences in lipid species and corrected for multiple testing using a Bonferroni-adjusted p-value
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- 2024
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12. PFAS Levels, Early Life Factors, and Mammographic Breast Density in Premenopausal Women
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Ning, Yitao S., Getz, Kayla R., Jeon, Joy K.&&Kyeyune, Myung Sik, Luo, Chongliang, Luo, Jingqin, and Toriola, Adetunji T.
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Women -- Health aspects ,Pollutants -- Health aspects ,Medical research ,Medicine, Experimental ,Breast cancer -- Risk factors -- Environmental aspects ,Environmental issues ,Health ,Research ,Risk factors ,Environmental aspects ,Health aspects - Abstract
BACKGROUND: Mammographic breast density (MBD) is a strong risk factor and an intermediate phenotype for breast cancer, yet there are limited studies on how environmental pollutants are associated with MBD. OBJECTIVE: We investigated associations of perfluorooctane sulfonate (PFOS), perfluorooctanoic acid (PFOA), and perfluorohexane sulfonate (PFHxS) levels with measures of MBD and evaluated if early life factors modified any associations. METHODS: Metabolon performed metabolomics analysis using ultrahigh-performance liquid chromatography/tandem accurate mass spectrometry in fasting blood from 705 premenopausal women completing their annual screening mammogram in St. Louis, Missouri. We calculated least square means (LSM) of mammographic volumetric percent density (VPD), dense volume (DV), and nondense volume (NDV) by quartiles (Q) of PFOS, PFOA, and PFHxS from multivariable linear regression modeling overall and stratified by recruitment period, race, age at menarche, and body shape at age 10. Models were adjusted for age, age at menarche, body fat percentage, race, family history of breast cancer, oral contraceptive use, alcohol consumption, parity/age at first birth, and body shape at age 10. RESULTS: PFOS, PFOA, and PFHxS were not significantly associated with VPD or NDV. PFHxS was significantly positively associated with DV (Q1=67:64[cm.sup.3], Q2 = 69:91 [cm.sup.3], Q3 = 69:06[cm.sup.3], Q4=75:79 [cm.sup.3]; p-trend=0:03). PFOS was positively associated with DV (Q1=65:45 [cm.sup.3], Q2=70:74 [cm.sup.3], Q3=73:31[cm.sup.3], Q4 =73:52[cm.sup.3]; p-trend=0:06) with DV being 8.1%, 12%, and 12.3% higher in Q2, Q3, and Q4 compared to Q1. Among women who were underweight/normal weight at age 10, PFOS was positively associated with VPD (Q1=9:02%, Q2 = 9:11%, Q3=9:48%, Q4=9:92%; p-trend=0:04) while there was an inverse association among women who were overweight/obese at age 10 (Q1=7:46%, Q2=6:94%, Q3 =6:78%, Q4 = 5:47%; p-trend =0:005) (p-interaction = 0:04). DISCUSSION: We report novel associations of PFHxS and PFOS with DV in premenopausal women. PFOS, PFOA, and PFHxS were not associated with VPD and NDV. In addition, body shape at age 10 may modify the associations of PFOS with MBD. Further studies are needed to validate our findings and to evaluate the associations of other per- and polyfluoroalkyl substances (PFAS), as well as mixtures of PFAS, with MBD. https://doi.org/10.1289/EHP14065, Introduction Pollution is one of the biggest challenges in public health, yet associations of environmental pollutants with mammographic breast density (MBD) are not well understood. MBD is an intermediate phenotype [...]
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- 2024
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13. Amaranthus spinosus (Spiny Pigweed) methanol leaf extract alleviates oxidative and inflammation induced by doxorubicin in male sprague dawley rats
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Akinloye, O. A., Sulaimon, L. A., Ogunbiyi, O. E., Odubiyi, A. E., Adewale, A. A., Toriola, M. A., Salami, O. A., and Boyenle, I. D.
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- 2023
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14. How does weight gain since the age of 18 years affect breast cancer risk in later life? A meta-analysis
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Yunan Han, Ebunoluwa E. Otegbeye, Carrie Stoll, Angela Hardi, Graham A. Colditz, and Adetunji T. Toriola
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Weight gain ,Breast cancer ,Premenopausal ,Postmenopausal ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Early life factors are important risk factors for breast cancer. The association between weight gain after age 18 and breast cancer risk is inconsistent across previous epidemiologic studies. To evaluate this association, we conducted a meta-analysis according to PRISMA guidelines and the established inclusion criteria. We performed a comprehensive literature search using Medline (Ovid), Embase, Scopus, Cochrane Library, and ClinicalTrials.gov to identify relevant studies published before June 3, 2022. Two reviewers independently reviewed the articles for final inclusion. Seventeen out of 4,725 unique studies met the selection criteria. The quality of studies was assessed using the Newcastle-Ottawa Scale (NOS), and all were of moderate to high quality with NOS scores ranging from 5 to 8. We included 17 studies (11 case-control, 6 cohort) in final analysis. In case-control studies, weight gain after age 18 was associated with an increased risk of breast cancer (odds ratio [OR] = 1.25; 95% CI = 1.07–1.48), when comparing the highest versus the lowest categories of weight gain. Menopausal status was a source of heterogeneity, with weight gain after age 18 associated with an increased risk of breast cancer in postmenopausal women (OR = 1.53; 95% CI = 1.40–1.68), but not in premenopausal women (OR = 1.01; 95% CI = 0.92–1.12). Additionally, a 5 kg increase in weight was positively associated with postmenopausal breast cancer risk (OR = 1.12; 95%CI = 1.05–1.21) in case-control studies. Findings from cohort studies were identical, with a positive association between weight gain after age 18 and breast cancer incidence in postmenopausal women (relative risk [RR] = 1.30; 95% CI = 1.09–1.36), but not in premenopausal women (RR = 1.06; 95% CI = 0.92–1.22). Weight gain after age 18 is a risk factor for postmenopausal breast cancer, highlighting the importance of weight control from early adulthood to reduce the incidence of postmenopausal breast cancer.
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- 2024
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15. Functional quality of life among newly diagnosed young adult colorectal cancer survivors compared to older adults: results from the ColoCare Study
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Oswald, Laura B., Bloomer, Amanda, Li, Xiaoyin, Jean-Baptiste, Esther, Trujillo, Gillian, Felder, Seth, Small, Brent J., Ose, Jennifer, Hardikar, Sheetal, Strehli, Ildiko, Huang, Lyen C., Mooney, Kathi, Mutch, Matthew G., Chao, Dante, Cohen, Stacey A., Karchi, Meghana, Wood, Elizabeth H., Damerell, Victoria, Loroña, Nicole C., Gong, Jun, Toriola, Adetunji T., Li, Christopher I., Shibata, David, Schneider, Martin, Gigic, Biljana, Figueiredo, Jane C., Jim, Heather S. L., Ulrich, Cornelia M., and Siegel, Erin M.
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- 2024
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16. EFFECT OF RISING PUBLIC DEBT ON GROWTH OF AGRICULTURAL AND NON-AGRICULTURAL SECTORS IN NIGERIA
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Anu Keshiro Toriola, Lateef Abiodun Salami, Adesina Mukaila Oke-Bello, and Gloria Oluwapelumi Joseph
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economic growth ,public debt ,agricultural sector ,non-agricultural sector ,fmols ,Agriculture - Abstract
This study explores the growth effect of public debt on the growth of agricultural and nonagricultural sectors as well as the aggregate economy. This investigation is imperative because the rising public debt in Nigeria may not have uniform implication on growth across sectors and the economy at large. The data for the analysis was sourced from the World Bank (WB), World Development indicators (WDI) covering the period of 1980 to 2021. The results using the Fully Modified Ordinary Least Squares (FMOLS) show that public debt, exports, and inflation have a statistically significant negative effect on growth in Nigeria while population growth has a significant positive effect on growth in Nigeria. However, the relationship between imports and GDP in Nigeria is not statistically significant. The result also shows that public debt exerts a significant negative effect on agricultural and industrial growth, while its effect on services growth is not significant. The study submitted that public debt exerts a significant adverse effect on growth in Nigeria. However, when looking at the sector-specific effect, the effect of public debt remains significant and negative for both agricultural and industrial sectors implying that higher levels of public debt are associated with lower growth in these two sector while in the services sector public debt does not show a significant effect. The study recommended the need to implement strong fiscal discipline and progressive tax system rather than borrowing to reduce public debt significantly and promote sectoral development.
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- 2024
17. Deep learning for automated encrustation detection in sewer inspection
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Yusuf, Wasiu, Alaka, Hafiz, Ahmad, Mubashir, Godoyon, Wusu, Ajayi, Saheed, Toriola-Coker, Luqman Olalekan, and Ahmed, Abdullahi
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- 2024
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18. Extraction of underlying factors causing construction projects delay in Nigeria
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Egwim, Christian Nnaemeka, Alaka, Hafiz, Toriola-Coker, Luqman Olalekan, Balogun, Habeeb, Ajayi, Saheed, and Oseghale, Raphael
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- 2023
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19. Lipidome of mammographic breast density in premenopausal women
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Getz, Kayla R., Jeon, Myung Sik, Luo, Chongliang, Luo, Jingqin, and Toriola, Adetunji T.
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- 2023
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20. Associations of combined physical activity and body mass index groups with colorectal cancer survival outcomes
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Himbert, Caroline, Ose, Jennifer, Gigic, Biljana, Viskochil, Richard, Santuci, Kelly, Lin, Tengda, Ashworth, Anjelica, Cohan, Jessica N., Scaife, Courtney L., Jedrzkiewicz, Jolanta, Damerell, Victoria, Atkins, Katelyn M., Gong, Jun, Mutch, Matthew G., Bernadt, Corey, Felder, Seth, Sanchez, Julian, Cohen, Stacey A., Krane, Mukta K., Hinkle, Nathan, Wood, Elizabeth, Peoples, Anita R., Figueiredo, Jane C., Toriola, Adetunji T., Siegel, Erin M., Li, Christopher I., Shibata, David, Boucher, Kenneth, Round, June L., Ulrich, Alexis B., Schneider, Martin, Huang, Lyen C., Hardikar, Sheetal, and Ulrich, Cornelia M.
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- 2023
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21. Application of the UNAIDS Incidence Patterns Model to Determine the Distribution of New HIV Infection in Lagos State, Nigeria
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Toriola Femi-Adebayo MBBS, MPH, FMCPH, Monsurat Adeleke MBBS, MPH, Bisola Adebayo MBChB, MPHFEP, FMCPH, Temitope Fadiya MBBS, MPH, Bukola Popoola MBChB, MPH, MWACP, Opeyemi Ogundimu BSc (Biochem), MBChB, MPH, MWACP, Funmilade O. Adepoju MBChB, MScPH, Ayotomiwa Salawu BSc, MPH, Oladipupo Fisher MBBS, MPH, Olusegun Ogboye Bsc, MBBS, MPH, and Leopold Zekeng PharmD, Msc
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Diseases of the genitourinary system. Urology ,RC870-923 - Abstract
Background Identifying patterns in the distribution of new HIV infections in the population is critical for HIV programmatic interventions. This study aimed to determine the distribution of New HIV infection by applying the incidence patterns mathematical model to data from Lagos state. Methods The incidence patterns model (IPM) software is a mathematical model developed by UNAIDS to estimate the demographic and epidemic patterns of HIV infections. This model was adapted in Lagos state to predict the distribution of new HIV infections among specified risk groups in the next 12 months. Results The IPM predicted a total HIV incidence of 37 cases per 100 000 individuals (3979 new infections) will occur among the 15 to 49 subpopulations. The results also showed that sero-concordant HIV-negative couples with external partners (29%), female sex workers (26%), men-having-sex-with-men (18%), and previously married females (6%) accounted for the majority of the estimated new HIV infections. Overall, key populations constitute almost half (48%) of the estimated number of new HIV infections. Conclusion The study helped to identify the population groups contributing significantly to new HIV infections. Therefore, priority interventions should be focused on these groups.
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- 2024
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22. Associations between Genetic Variants and Blood Biomarkers of One-Carbon Metabolism in Postmenopausal Women from the Womens Health Initiative Observational Study.
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Cheng, Ting-Yuan, Ilozumba, Mmadili, Balavarca, Yesilda, Neuhouser, Marian, Miller, Joshua, Beresford, Shirley, Zheng, Yingye, Song, Xiaoling, Duggan, David, Toriola, Adetunji, Bailey, Lynn, Green, Ralph, Caudill, Marie, and Ulrich, Cornelia
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MTHFR ,folate ,one-carbon metabolism ,postmenopausal women ,single-nucleotide variants ,Aged ,Biomarkers ,Carbon ,Female ,Folic Acid ,Genotype ,Histocompatibility Antigens ,Histone-Lysine N-Methyltransferase ,Homocysteine ,Humans ,Methylenetetrahydrofolate Reductase (NADPH2) ,Middle Aged ,Postmenopause ,Womens Health - Abstract
BACKGROUND: Genetic variation in one-carbon metabolism may affect nutrient concentrations and biological functions. However, data on genetic variants associated with blood biomarkers of one-carbon metabolism in US postmenopausal women are limited, and whether these associations were affected by the nationwide folic acid (FA) fortification program is unclear. OBJECTIVES: We investigated associations between genetic variants and biomarkers of one-carbon metabolism using data from the Womens Health Initiative Observational Study. METHODS: In 1573 non-Hispanic White (NHW) and 282 Black/African American, American Indian/Alaska Native, Asian/Pacific Islander, and Hispanic/Latino women aged 50-79 y, 288 nonsynonymous and tagging single-nucleotide variants (SNVs) were genotyped. RBC folate, plasma folate, pyridoxal-5-phosphate (PLP), vitamin B-12, homocysteine, and cysteine concentrations were determined in 12-h fasting blood. Multivariable linear regression tested associations per variant allele and for an aggregated genetic risk score. Effect modifications before, during, and after nationwide FA fortification were examined. RESULTS: After correction for multiple comparisons, among NHW women, 5,10-methylenetetrahydrofolate reductase (MTHFR) rs1801133 (677C→T) variant T was associated with lower plasma folate (-13.0%; 95% CI: -17.3%, -8.6%) and higher plasma homocysteine (3.5%; 95% CI: 1.7%, 5.3%) concentrations. Other associations for nonsynonymous SNVs included DNMT3A rs11695471 (T→A) with plasma PLP; EHMT2 rs535586 (G→A), TCN2 rs1131603 (L349S A→G), and TCN2 rs35838082 (R188W G→A) with plasma vitamin B-12; CBS rs2851391 (G→A) with plasma homocysteine; and MTHFD1 rs2236224 (G→A) and rs2236225 (R653Q G→A) with plasma cysteine. The influence of FA fortification on the associations was limited. Highest compared with lowest quartiles of aggregated genetic risk scores from SNVs in MTHFR and MTRR were associated with 14.8% to 18.9% lower RBC folate concentrations. Gene-biomarker associations were similar in women of other races/ethnicities. CONCLUSIONS: Our findings on genetic variants associated with several one-carbon metabolism biomarkers may help elucidate mechanisms of maintaining B vitamin status in postmenopausal women.
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- 2022
23. THE NEXUS BETWEEN LABOUR PRODUCTIVITY AND AGRICULTURAL DEVELOPMENT IN SUB-SAHARAN AFRICA (1991-2021)
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Ibrahim A. Odusanya, Anu K. Toriola, and Felix Odunayo Ajayi
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labour productivity ,agricultural development ,ındustrialisation ,sub-saharan africa ,panel dynamic least squares (pols) ,Agriculture - Abstract
This study examined the relationship between labour productivity and agricultural agriculture development in Sub-Saharan Africa (SSA) from 1991 to 2021. The study is based cross-sectional data covering the period 1991-2021 on nine (9) SSA countries sourced from the World Bank Development Indicator (WDI) database. The result of the Panel Dynamic Least Squares (POLS) estimation technique utilised revealed that population growth (β = 0.0203, t-value = 2.092, & Prob. = 0.0398) exerts a significant positive effect on agricultural development while both industrial output (β = -0.8698, t-value = -2.1225, & Prob. = 0.0371) and services productivity (-1.2667, t-value = -2.6510, & Prob. = 0.0098) exert a significant negative effect at 5% level of significance. Although, the effect of labour productivity on agricultural development is negative (β = -0.2335, t-value = -0.949, Prob. = 0.3455), it is not statistically significant. Thus, the low productivity in industrial sector and the structural shift in favour of services posed adverse effect on agricultural productivity in SSA. This underscore the need to maximise the potentials of the population growth through policy options including rural infrastructural development, price supports, crop insurance and tax incentives to stabilise income and make the sector attractive to the labour force.
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- 2023
24. Lipidome of mammographic breast density in premenopausal women
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Kayla R. Getz, Myung Sik Jeon, Chongliang Luo, Jingqin Luo, and Adetunji T. Toriola
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Lipidomics ,Mammographic breast density ,Premenopausal ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background High mammographic breast density (MBD) is a strong risk factor for breast cancer development, but the biological mechanisms underlying MBD are unclear. Lipids play important roles in cell differentiation, and perturbations in lipid metabolism are implicated in cancer development. Nevertheless, no study has applied untargeted lipidomics to profile the lipidome of MBD. Through this study, our goal is to characterize the lipidome of MBD in premenopausal women. Methods Premenopausal women were recruited during their annual screening mammogram at the Washington University School of Medicine in St. Louis, MO. Untargeted lipidomic profiling for 982 lipid species was performed at Metabolon (Durham, NC®), and volumetric measures of MBD (volumetric percent density (VPD), dense volume (DV), and non-dense volume (NDV)) was assessed using Volpara 1.5 (Volpara Health®). We performed multivariable linear regression models to investigate the associations of lipid species with MBD and calculated the covariate-adjusted least square mean of MBD by quartiles of lipid species. MBD measures were log10 transformed, and lipid species were standardized. Linear coefficients of MBD were back-transformed and considered significant if the Bonferroni corrected p-value was
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- 2023
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25. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
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Naghavi, Mohsen, Ong, Kanyin Liane, Aali, Amirali, Ababneh, Hazim S, Abate, Yohannes Habtegiorgis, Abbafati, Cristiana, Abbasgholizadeh, Rouzbeh, Abbasian, Mohammadreza, Abbasi-Kangevari, Mohsen, Abbastabar, Hedayat, Abd ElHafeez, Samar, Abdelmasseh, Michael, Abd-Elsalam, Sherief, Abdelwahab, Ahmed, Abdollahi, Mohammad, Abdollahifar, Mohammad-Amin, Abdoun, Meriem, Abdulah, Deldar Morad, Abdullahi, Auwal, Abebe, Mesfin, Abebe, Samrawit Shawel, Abedi, Aidin, Abegaz, Kedir Hussein, Abhilash, E S, Abidi, Hassan, Abiodun, Olumide, Aboagye, Richard Gyan, Abolhassani, Hassan, Abolmaali, Meysam, Abouzid, Mohamed, Aboye, Girma Beressa, Abreu, Lucas Guimarães, Abrha, Woldu Aberhe, Abtahi, Dariush, Abu Rumeileh, Samir, Abualruz, Hasan, Abubakar, Bilyaminu, Abu-Gharbieh, Eman, Abu-Rmeileh, Niveen ME, Aburuz, Salahdein, Abu-Zaid, Ahmed, Accrombessi, Manfred Mario Kokou, Adal, Tadele Girum, Adamu, Abdu A, Addo, Isaac Yeboah, Addolorato, Giovanni, Adebiyi, Akindele Olupelumi, Adekanmbi, Victor, Adepoju, Abiola Victor, Adetunji, Charles Oluwaseun, Adetunji, Juliana Bunmi, Adeyeoluwa, Temitayo Esther, Adeyinka, Daniel Adedayo, Adeyomoye, Olorunsola Israel, Admass, Biruk Adie Adie, Adnani, Qorinah Estiningtyas Sakilah, Adra, Saryia, Afolabi, Aanuoluwapo Adeyimika, Afzal, Muhammad Sohail, Afzal, Saira, Agampodi, Suneth Buddhika, Agasthi, Pradyumna, Aggarwal, Manik, Aghamiri, Shahin, Agide, Feleke Doyore, Agodi, Antonella, Agrawal, Anurag, Agyemang-Duah, Williams, Ahinkorah, Bright Opoku, Ahmad, Aqeel, Ahmad, Danish, Ahmad, Firdos, Ahmad, Muayyad M, Ahmad, Sajjad, Ahmad, Shahzaib, Ahmad, Tauseef, Ahmadi, Keivan, Ahmadzade, Amir Mahmoud, Ahmed, Ali, Ahmed, Ayman, Ahmed, Haroon, Ahmed, Luai A, Ahmed, Mehrunnisha Sharif, Ahmed, Meqdad Saleh, Ahmed, Muktar Beshir, Ahmed, Syed Anees, Ajami, Marjan, Aji, Budi, Akara, Essona Matatom, Akbarialiabad, Hossein, Akinosoglou, Karolina, Akinyemiju, Tomi, Akkaif, Mohammed Ahmed, Akyirem, Samuel, Al Hamad, Hanadi, Al Hasan, Syed Mahfuz, Alahdab, Fares, Alalalmeh, Samer O, Alalwan, Tariq A, Al-Aly, Ziyad, Alam, Khurshid, Alam, Manjurul, Alam, Noore, Al-amer, Rasmieh Mustafa, Alanezi, Fahad Mashhour, Alanzi, Turki M, Al-Azzam, Sayer, Albakri, Almaza, Albashtawy, Mohammed, AlBataineh, Mohammad T, Alcalde-Rabanal, Jacqueline Elizabeth, Aldawsari, Khalifah A, Aldhaleei, Wafa A, Aldridge, Robert W, Alema, Haileselasie Berhane, Alemayohu, Mulubirhan Assefa, Alemi, Sharifullah, Alemu, Yihun Mulugeta, Al-Gheethi, Adel Ali Saeed, Alhabib, Khalid F, Alhalaiqa, Fadwa Alhalaiqa Naji, Al-Hanawi, Mohammed Khaled, Ali, Abid, Ali, Amjad, Ali, Liaqat, Ali, Mohammed Usman, Ali, Rafat, Ali, Shahid, Ali, Syed Shujait Shujait, Alicandro, Gianfranco, Alif, Sheikh Mohammad, Alikhani, Reyhaneh, Alimohamadi, Yousef, Aliyi, Ahmednur Adem, Aljasir, Mohammad A M, Aljunid, Syed Mohamed, Alla, François, Allebeck, Peter, Al-Marwani, Sabah, Al-Maweri, Sadeq Ali Ali, Almazan, Joseph Uy, Al-Mekhlafi, Hesham M, Almidani, Louay, Almidani, Omar, Alomari, Mahmoud 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Ales, Ticoalu, Jansje Henny Vera, Tillawi, Tala, Tiruye, Tenaw Yimer, Titova, Mariya Vladimirovna, Tonelli, Marcello, Topor-Madry, Roman, Toriola, Adetunji T, Torre, Anna E, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Tran, Jasmine T, Tran, Nghia Minh, Trico, Domenico, Tromans, Samuel Joseph, Truyen, Thien Tan Tri Tai, Tsatsakis, Aristidis, Tsegay, Guesh Mebrahtom, Tsermpini, Evangelia Eirini, Tumurkhuu, Munkhtuya, Tung, Kang, Tyrovolas, Stefanos, Uddin, Sayed Mohammad Nazim, Udoakang, Aniefiok John, Udoh, Arit, Ullah, Atta, Ullah, Irfan, Ullah, Saeed, Ullah, Sana, Umakanthan, Srikanth, Umeokonkwo, Chukwuma David, Unim, Brigid, Unnikrishnan, Bhaskaran, Unsworth, Carolyn Anne, Upadhyay, Era, Urso, Daniele, Usman, Jibrin Sammani, Vahabi, Seyed Mohammad, Vaithinathan, Asokan Govindaraj, Valizadeh, Rohollah, Van de Velde, Sarah M, Van den Eynde, Jef, Varga, Orsolya, Vart, Priya, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Vasic, Milena, Vaziri, Siavash, Vellingiri, Balachandar, Venketasubramanian, Narayanaswamy, Verghese, Nicholas Alexander, Verma, Madhur, Veroux, Massimiliano, Verras, Georgios-Ioannis, Vervoort, Dominique, Villafañe, Jorge Hugo, Villanueva, Gabriela Ines, Vinayak, Manish, Violante, Francesco S, Viskadourou, Maria, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vo, Bay, Vollset, Stein Emil, Vongpradith, Avina, Vos, Theo, Vujcic, Isidora S, Vukovic, Rade, Wafa, Hatem A, Waheed, Yasir, Wamai, Richard G, Wang, Cong, Wang, Ning, Wang, Shu, Wang, Song, Wang, Yanzhong, Wang, Yuan-Pang, Waqas, Muhammad, Ward, Paul, Wassie, Emebet Gashaw, Watson, Stefanie, Watson, Stephanie Louise Watson, Weerakoon, Kosala Gayan, Wei, Melissa Y, Weintraub, Robert G, Weiss, Daniel J, Westerman, Ronny, Whisnant, Joanna L, Wiangkham, Taweewat, Wickramasinghe, Dakshitha Praneeth, Wickramasinghe, Nuwan Darshana, Wilandika, Angga, Wilkerson, Caroline, Willeit, Peter, Wilson, Shadrach, Wojewodzic, Marcin W, Woldegebreal, Demewoz H, Wolf, Axel Walter, Wolfe, Charles D A, Wondimagegene, Yohannes Addisu, Wong, Yen Jun, Wongsin, Utoomporn, Wu, Ai-Min, Wu, Chenkai, Wu, Felicia, Wu, Xinsheng, Wu, Zenghong, Xia, Juan, Xiao, Hong, Xie, Yang, Xu, Suowen, Xu, Wang-Dong, Xu, Xiaoyue, Xu, Yvonne Yiru, Yadollahpour, Ali, Yamagishi, Kazumasa, Yang, Danting, Yang, Lin, Yano, Yuichiro, Yao, Yao, Yaribeygi, Habib, Ye, Pengpeng, Yehualashet, Sisay Shewasinad, Yesiltepe, Metin, Yesuf, Subah Abderehim, Yezli, Saber, Yi, Siyan, Yigezu, Amanuel, Yiğit, Arzu, Yiğit, Vahit, Yip, Paul, Yismaw, Malede Berihun, Yismaw, Yazachew, Yon, Dong Keon, Yonemoto, Naohiro, Yoon, Seok-Jun, You, Yuyi, Younis, Mustafa Z, Yousefi, Zabihollah, Yu, Chuanhua, Yu, Yong, Yuh, Faith H, Zadey, Siddhesh, Zadnik, Vesna, Zafari, Nima, Zakham, Fathiah, Zaki, Nazar, Zaman, Sojib Bin, Zamora, Nelson, Zand, Ramin, Zangiabadian, Moein, Zar, Heather J, Zare, Iman, Zarrintan, Armin, Zeariya, Mohammed G M, Zeinali, Zahra, Zhang, Haijun, Zhang, Jianrong, Zhang, Jingya, Zhang, Liqun, Zhang, Yunquan, Zhang, Zhi-Jiang, Zhao, Hanqing, Zhong, Chenwen, Zhou, Juexiao, Zhu, Bin, Zhu, Lei, Ziafati, Makan, Zielińska, Magdalena, Zitoun, Osama A, Zoladl, Mohammad, Zou, Zhiyong, Zuhlke, Liesl J, Zumla, Alimuddin, Zweck, Elric, Zyoud, Samer H, Wool, Eve E, and Murray, Christopher J L
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- 2024
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26. Sustainable construction practice in Nigeria: barriers and strategies for improvement
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Akindele, Oluwaseun Enoch, Ajayi, Saheed, Toriola-Coker, Luqman, Oyegoke, Adekunle Sabitu, Alaka, Hafiz, and Zulu, Sambo Lyson
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- 2023
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27. Associations of Vitamins and Related Cofactor Metabolites with Mammographic Breast Density in Premenopausal Women
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Matthew, Kayode A, Getz, Kayla R, Jeon, Myung Sik, Luo, Chongliang, Luo, Jingqin, and Toriola, Adetunji T
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- 2024
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28. Clinical Characteristics and Outcomes of Colorectal Cancer in the ColoCare Study: Differences by Age of Onset
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Himbert, Caroline, Figueiredo, Jane C, Shibata, David, Ose, Jennifer, Lin, Tengda, Huang, Lyen C, Peoples, Anita R, Scaife, Courtney L, Pickron, Bartley, Lambert, Laura, Cohan, Jessica N, Bronner, Mary, Felder, Seth, Sanchez, Julian, Dessureault, Sophie, Coppola, Domenico, Hoffman, David M, Nasseri, Yosef F, Decker, Robert W, Zaghiyan, Karen, Murrell, Zuri A, Hendifar, Andrew, Gong, Jun, Firoozmand, Eiman, Gangi, Alexandra, Moore, Beth A, Cologne, Kyle G, El-Masry, Maryliza S, Hinkle, Nathan, Monroe, Justin, Mutch, Matthew, Bernadt, Cory, Chatterjee, Deyali, Sinanan, Mika, Cohen, Stacey A, Wallin, Ulrike, Grady, William M, Lampe, Paul D, Reddi, Deepti, Krane, Mukta, Fichera, Alessandro, Moonka, Ravi, Herpel, Esther, Schirmacher, Peter, Kloor, Matthias, von Knebel-Doeberitz, Magnus, Nattenmueller, Johanna, Kauczor, Hans-Ulrich, Swanson, Eric, Jedrzkiewicz, Jolanta, Schmit, Stephanie L, Gigic, Biljana, Ulrich, Alexis B, Toriola, Adetunji T, Siegel, Erin M, Li, Christopher I, Ulrich, Cornelia M, and Hardikar, Sheetal
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Biomedical and Clinical Sciences ,Oncology and Carcinogenesis ,Cancer ,Digestive Diseases ,Colo-Rectal Cancer ,Clinical Research ,cohort ,colorectal cancer ,early onset ,epidemiology ,Oncology and carcinogenesis - Abstract
Early-onset colorectal cancer has been on the rise in Western populations. Here, we compare patient characteristics between those with early- (
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- 2021
29. Associations of combined physical activity and body mass index groups with colorectal cancer survival outcomes
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Caroline Himbert, Jennifer Ose, Biljana Gigic, Richard Viskochil, Kelly Santuci, Tengda Lin, Anjelica Ashworth, Jessica N. Cohan, Courtney L. Scaife, Jolanta Jedrzkiewicz, Victoria Damerell, Katelyn M. Atkins, Jun Gong, Matthew G. Mutch, Corey Bernadt, Seth Felder, Julian Sanchez, Stacey A. Cohen, Mukta K. Krane, Nathan Hinkle, Elizabeth Wood, Anita R. Peoples, Jane C. Figueiredo, Adetunji T. Toriola, Erin M. Siegel, Christopher I. Li, David Shibata, Kenneth Boucher, June L. Round, Alexis B. Ulrich, Martin Schneider, Lyen C. Huang, Sheetal Hardikar, and Cornelia M. Ulrich
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Colorectal cancer ,Physical activity ,Obesity ,Energy balance ,Survivorship ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Physical activity and BMI have been individually associated with cancer survivorship but have not yet been studied in combinations in colorectal cancer patients. Here, we investigate individual and combined associations of physical activity and BMI groups with colorectal cancer survival outcomes. Methods Self-reported physical activity levels (MET hrs/wk) were assessed using an adapted version of the International Physical Activity Questionnaire (IPAQ) at baseline in 931 patients with stage I-III colorectal cancer and classified into ‘highly active’ and’not-highly active’(≥ /
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- 2023
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30. Impact of the COVID‐19 pandemic on breast, colorectal, lung, and prostate cancer stage at diagnosis according to race
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Jennifer Berrian, Ying Liu, Nkiruka Ezenwajiaku, Alvaro Moreno‐Aspitia, Sara J. Holton, Adetunji T. Toriola, Graham A. Colditz, Ashley J. Housten, Lannis Hall, Mark A. Fiala, and Foluso O. Ademuyiwa
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Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Purpose To determine if the COVID‐19 pandemic has further exacerbated racial disparities in late‐stage presentation of breast, colorectal, lung, and prostate cancers. Methods We conducted a registry‐based retrospective study of patients with newly reported diagnoses of breast, colorectal, lung, and prostate cancers between March 2019–June 2019 (pre‐COVID‐19) and March 2020–June 2020 (early‐COVID‐19). We compared the volume of new diagnoses and stage at presentation according to race between both periods. Results During the study period, a total of 3528 patients had newly diagnosed cancer; 3304 of which had known disease stages and were included in the formal analyses. 467 (14.1%) were Blacks, and 2743 were (83%) Whites. 1216 (36.8%) had breast, 415 (12.6%) had colorectal, 827 (25%) had lung, and 846 (25.6%) had prostate cancers, respectively. The pre‐COVID‐19 period included 2120 (64.2%), and the early‐COVID‐19 period included 1184 (35.8%), representing a proportional 44.2% decline in the volume of new cases of breast, colorectal, lung, and prostate cancers, p
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- 2023
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31. Evaluating the Bariatric Safety Net: Analysis of Socioeconomic Factors and Outcomes at a Bariatric Safety Net Program Compared to an Affiliated Private Center
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Wu, Jessica, Silva, Jack P., Toriola, Tayo, Palmer, Ryan C., Hernandez, Fergui, Compton, Edward, Abel, Stuart, Nguyen, James D., Dobrowolsky, Adrian, Martin, Matthew J., and Samakar, Kamran
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- 2022
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32. Association of adiposity and fitness with triglyceride-to-high-density lipoprotein cholesterol ratio in youth
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Danladi Ibrahim Musa, Abel Lamina Toriola, Nurudeen O Abubakar, Sunday Omachi, Victor B Olowoleni, and Kolade B Ayodele
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adolescents ,body mass index ,cardiorespiratory fitness ,lipoprotein ratio ,metabolic syndrome ,Medicine ,Pediatrics ,RJ1-570 ,Diseases of the circulatory (Cardiovascular) system ,RC666-701 - Abstract
Background : The ratio of triglycerides-to-high-density lipoprotein cholesterol (TG/HDL-C) is considered a robust biomarker of metabolic syndrome (MetS) and is associated with several diseases, including type 2 diabetes mellitus (T2DM) and hypertension (HTN). This study examined the independent association of adiposity and fitness with the TG/HDL-C ratio. Materials and Methods : This is a cross-sectional study comprising 403 (201 girls) Nigerian adolescents aged 11–19 years. Participants were evaluated for body mass index, cardiorespiratory fitness, and TG/HDL-C. Regression models adjusting for age and biological maturity were used to evaluate the association of adiposity and fitness with TG/HDL-C ratio. The TG/HDL-C ratios of 1.0 mmol/L and 1.1 mmol/L were used to stratify female and male participants into low- and high-risk groups, respectively. Results : Of the 135 high-risk adolescents, 21.1%, 5.5%, 12.7%, 14.9%, and 0.5% were at risk of T2DM, systolic HTN, diastolic HTN, abdominal obesity, and MetS, respectively. The independent variables were significantly associated with TG/HDL-C ratio only in boys but not girls. In boys, high adiposity (β = 0.193; P = 0.025) and low fitness (β = -0.169; P = 0.048) were independently associated with the dependent variable. Unfit boys were 3.9 (95% confidence interval [CI] =1.37–10.94, P = 0.011) times more likely to develop elevated TG/HDL-C ratio than their fit peers. The likelihood of girls at risk of MetS developing a high TG/HDL-C ratio was 13.7 (95% CI = 3.89–48.32, P < 0.001) times compared to their counterparts without MetS. Conclusions : Adiposity and fitness were independently associated with TG/HDL-C in boys but not in girls. Health promotion intervention focusing on lowering TG/HDL-C ratio among Nigerian adolescents should include an emphasis on healthy diet and endurance activity programs.
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- 2023
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33. Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021
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Naghavi, M, Ong, K, Aali, A, Ababneh, H, Abate, Y, Abbafati, C, Abbasgholizadeh, R, Abbasian, M, Abbasi-Kangevari, M, Abbastabar, H, Abd ElHafeez, S, Abdelmasseh, M, Abd-Elsalam, S, Abdelwahab, A, Abdollahi, M, Abdollahifar, M, Abdoun, M, Abdulah, D, Abdullahi, A, Abebe, M, Abebe, S, Abedi, A, Abegaz, K, Abhilash, E, Abidi, H, Abiodun, O, Aboagye, R, Abolhassani, H, Abolmaali, M, Abouzid, M, Aboye, G, Abreu, L, Abrha, W, Abtahi, D, Abu Rumeileh, S, Abualruz, H, Abubakar, B, Abu-Gharbieh, E, Abu-Rmeileh, N, Aburuz, S, Abu-Zaid, A, Accrombessi, M, Adal, T, Adamu, A, Addo, I, Addolorato, G, Adebiyi, A, Adekanmbi, V, Adepoju, A, Adetunji, C, Adetunji, J, Adeyeoluwa, T, Adeyinka, D, Adeyomoye, O, Admass, B, Adnani, Q, Adra, S, Afolabi, A, Afzal, M, Afzal, S, Agampodi, S, Agasthi, P, Aggarwal, M, Aghamiri, S, Agide, F, Agodi, A, Agrawal, A, Agyemang-Duah, W, Ahinkorah, B, Ahmad, A, Ahmad, D, Ahmad, F, Ahmad, M, Ahmad, S, Ahmad, T, Ahmadi, K, Ahmadzade, A, Ahmed, A, Ahmed, H, Ahmed, L, Ahmed, M, Ahmed, S, Ajami, M, Aji, B, Akara, E, Akbarialiabad, H, Akinosoglou, K, Akinyemiju, T, Akkaif, M, Akyirem, S, Al Hamad, H, Al Hasan, S, Alahdab, F, Alalalmeh, S, Alalwan, T, Al-Aly, Z, Alam, K, Alam, M, Alam, N, Al-amer, R, Alanezi, F, Alanzi, T, Al-Azzam, S, Albakri, A, Albashtawy, M, Albataineh, M, Alcalde-Rabanal, J, Aldawsari, K, Aldhaleei, W, Aldridge, R, Alema, H, Alemayohu, M, Alemi, S, Alemu, Y, Al-Gheethi, A, Alhabib, K, Alhalaiqa, F, Al-Hanawi, M, Ali, A, Ali, L, Ali, M, Ali, R, Ali, S, Alicandro, G, Alif, S, Alikhani, R, Alimohamadi, Y, Aliyi, A, Aljasir, M, Aljunid, S, Alla, F, Allebeck, P, Al-Marwani, S, Al-Maweri, S, Almazan, J, Al-Mekhlafi, H, Almidani, L, Almidani, O, Alomari, M, Al-Omari, B, Alonso, J, Alqahtani, J, Alqalyoobi, S, Alqutaibi, A, Al-Sabah, S, Altaany, Z, Altaf, A, Al-Tawfiq, J, Altirkawi, K, Aluh, D, Alvis-Guzman, N, Alwafi, H, Al-Worafi, Y, Aly, H, Aly, S, Alzoubi, K, Amani, R, Amare, A, Amegbor, P, Ameyaw, E, Amin, T, Amindarolzarbi, A, Amiri, S, Amirzade-Iranaq, M, Amu, H, Amugsi, D, Amusa, G, Ancuceanu, R, Anderlini, D, Anderson, D, Andrade, P, Andrei, C, Andrei, T, Angus, C, Anil, A, Anil, S, Anoushiravani, A, Ansari, H, Ansariadi, A, Ansari-Moghaddam, A, Antony, C, Antriyandarti, E, Anvari, D, Anvari, S, Anwar, S, Anwer, R, Anyasodor, A, Aqeel, M, Arab, J, Arabloo, J, Arafat, M, Aravkin, A, Areda, D, Aremu, A, Aremu, O, Ariffin, H, Arkew, M, Armocida, B, Arndt, M, Ärnlöv, J, Arooj, M, Artamonov, A, Arulappan, J, Aruleba, R, Arumugam, A, Asaad, M, Asadi-Lari, M, Asgedom, A, Asghariahmadabad, M, Asghari-Jafarabadi, M, Ashraf, M, Aslani, A, Astell-Burt, T, Athar, M, Athari, S, Atinafu, B, Atlaw, H, Atorkey, P, Atout, M, Atreya, A, Aujayeb, A, Ausloos, M, Avan, A, Awedew, A, Aweke, A, Ayala Quintanilla, B, Ayatollahi, H, Ayuso-Mateos, J, Ayyoubzadeh, S, Azadnajafabad, S, Azevedo, R, Azzam, A, B, D, Babu, A, Badar, M, Badiye, A, Baghdadi, S, Bagheri, N, Bagherieh, S, Bah, S, Bahadorikhalili, S, Bahmanziari, N, Bai, R, Baig, A, Baker, J, Bako, A, Bakshi, R, Balakrishnan, S, Balasubramanian, M, Baltatu, O, Bam, K, Banach, M, Bandyopadhyay, S, Banik, P, Bansal, H, Bansal, K, Barbic, F, Barchitta, M, Bardhan, M, Bardideh, E, Barker-Collo, S, Bärnighausen, T, Barone-Adesi, F, Barqawi, H, Barrero, L, Barrow, A, Barteit, S, Barua, L, Basharat, Z, Bashiri, A, Basiru, A, Baskaran, P, Basnyat, B, Bassat, Q, Basso, J, Basting, A, Basu, S, Batra, K, Baune, B, Bayati, M, Bayileyegn, N, Beaney, T, Bedi, N, Beghi, M, Behboudi, E, Behera, P, Behnoush, A, Behzadifar, M, Beiranvand, M, Bejarano Ramirez, D, Béjot, Y, Belay, S, Belete, C, Bell, M, Bello, M, Bello, O, Belo, L, Beloukas, A, Bender, R, Bensenor, I, Beran, A, Berezvai, Z, Berhie, A, Berice, B, Bernstein, R, Bertolacci, G, Bettencourt, P, Beyene, K, Bhagat, D, Bhagavathula, A, Bhala, N, Bhalla, A, Bhandari, D, Bhangdia, K, Bhardwaj, N, Bhardwaj, P, Bhargava, A, Bhaskar, S, Bhat, V, Bhatti, G, Bhatti, J, Bhatti, M, Bhatti, R, Bhutta, Z, Bikbov, B, Bishai, J, Bisignano, C, Bisulli, F, Biswas, A, Biswas, B, Bitaraf, S, Bitew, B, Bitra, V, Bjørge, T, Boachie, M, Boampong, M, Bobirca, A, Bodolica, V, Bodunrin, A, Bogale, E, Bogale, K, Bohlouli, S, Bolarinwa, O, Boloor, A, Bonakdar Hashemi, M, Bonny, A, Bora, K, Bora Basara, B, Borhany, H, Borzutzky, A, Bouaoud, S, Boustany, A, Boxe, C, Boyko, E, Brady, O, Braithwaite, D, Brant, L, Brauer, M, Brazinova, A, Brazo-Sayavera, J, Breitborde, N, Breitner, S, Brenner, H, Briko, A, Briko, N, Britton, G, Brown, J, Brugha, T, Bulamu, N, Bulto, L, Buonsenso, D, Burns, R, Busse, R, Bustanji, Y, Butt, N, Butt, Z, Caetano dos Santos, F, Calina, D, Cámera, L, Campos, L, Campos-Nonato, I, Cao, C, Cao, Y, Capodici, A, Cárdenas, R, Carr, S, Carreras, G, Carrero, J, Carugno, A, Carvalheiro, C, Carvalho, F, Carvalho, M, Castaldelli-Maia, J, Castañeda-Orjuela, C, Castelpietra, G, Catalá-López, F, Catapano, A, Cattaruzza, M, Cederroth, C, Cegolon, L, Cembranel, F, Cenderadewi, M, Cercy, K, Cerin, E, Cevik, M, Chadwick, J, Chahine, Y, Chakraborty, C, Chakraborty, P, Chan, J, Chan, R, Chandika, R, Chandrasekar, E, Chang, C, Chang, J, Chanie, G, Charalampous, P, Chattu, V, Chaturvedi, P, Chatzimavridou-Grigoriadou, V, Chaurasia, A, Chen, A, Chen, C, Chen, H, Chen, M, Chen, S, Cheng, C, Cheng, E, Cherbuin, N, Cheru, W, Chien, J, Chimed-Ochir, O, Chimoriya, R, Ching, P, Chirinos-Caceres, J, Chitheer, A, Cho, W, Chong, B, Chopra, H, Choudhari, S, Chowdhury, R, Christopher, D, Chukwu, I, Chung, E, Chung, S, Chutiyami, M, Cindi, Z, Cioffi, I, Claassens, M, Claro, R, Coberly, K, Cogen, R, Columbus, A, Comfort, H, Conde, J, Cortese, S, Cortesi, P, Costa, V, Costanzo, S, Cousin, E, Couto, R, Cowden, R, Cramer, K, Criqui, M, Cruz-Martins, N, Cuadra-Hernández, S, Culbreth, G, Cullen, P, Cunningham, M, Curado, M, Dadana, S, Dadras, O, Dai, S, Dai, X, Dai, Z, Dalli, L, Damiani, G, Darega Gela, J, Das, J, Das, S, Dascalu, A, Dash, N, Dashti, M, Dastiridou, A, Davey, G, Dávila-Cervantes, C, Davis Weaver, N, Davletov, K, De Leo, D, de Luca, K, Debele, A, Debopadhaya, S, Degenhardt, L, Dehghan, A, Deitesfeld, L, Del Bo', C, Delgado-Enciso, I, Demessa, B, Demetriades, A, Deng, K, Deng, X, Denova-Gutiérrez, E, Deravi, N, Dereje, N, Dervenis, N, Dervišević, E, Des Jarlais, D, Desai, H, Desai, R, Devanbu, V, Dewan, S, Dhali, A, Dhama, K, Dhimal, M, Dhingra, S, Dhulipala, V, Dias da Silva, D, Diaz, D, Diaz, M, Dima, A, Ding, D, Ding, H, Dinis-Oliveira, R, Dirac, M, Djalalinia, S, Do, T, do Prado, C, Doaei, S, Dodangeh, M, Dohare, S, Dokova, K, Dolecek, C, Dominguez, R, Dong, W, Dongarwar, D, D'Oria, M, Dorostkar, F, Dorsey, E, dos Santos, W, Doshi, R, Doshmangir, L, Dowou, R, Driscoll, T, Dsouza, H, Dsouza, V, Du, M, Dube, J, Duncan, B, Duraes, A, Duraisamy, S, Durojaiye, O, Dwyer-Lindgren, L, Dzianach, P, Dziedzic, A, E'Mar, A, Eboreime, E, Ebrahimi, A, Echieh, C, Edinur, H, Edvardsson, D, Edvardsson, K, Efendi, D, Efendi, F, Effendi, D, Eikemo, T, Eini, E, Ekholuenetale, M, Ekundayo, T, El 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Narain, Sinto, Robert, Siraj, Md Shahjahan, Sirota, Sarah Brooke, Sitas, Freddy, Sivakumar, Shravan, Skryabin, Valentin Yurievich, Skryabina, Anna Aleksandrovna, Sleet, David A, Socea, Bogdan, Sokhan, Anton, Solanki, Ranjan, Solanki, Shipra, Soleimani, Hamidreza, Soliman, Sameh S M, Song, Suhang, Song, Yimeng, Sorensen, Reed J D, Soriano, Joan B, Soyiri, Ireneous N, Spartalis, Michael, Spearman, Sandra, Sreeramareddy, Chandrashekhar T, Srivastava, Vijay Kumar, Stanaway, Jeffrey D, Stanikzai, Muhammad Haroon, Stark, Benjamin A, Starnes, Joseph R, Starodubova, Antonina V, Stein, Caroline, Stein, Dan J, Steinbeis, Fridolin, Steiner, Caitlyn, Steinmetz, Jaimie D, Steiropoulos, Paschalis, Stevanović, Aleksandar, Stockfelt, Leo, Stokes, Mark A, Stortecky, Stefan, Subramaniyan, Vetriselvan, Suleman, Muhammad, Suliankatchi Abdulkader, Rizwan, Sultana, Abida, Sun, Haitong Zhe, Sun, Jing, Sundström, Johan, Sunkersing, David, Sunnerhagen, Katharina S, Swain, Chandan Kumar, Szarpak, Lukasz, Szeto, Mindy D, Szócska, Miklós, Tabaee Damavandi, Payam, Tabarés-Seisdedos, Rafael, Tabatabaei, Seyyed Mohammad, Tabatabaei Malazy, Ozra, Tabatabaeizadeh, Seyed-Amir, Tabatabai, Shima, Tabish, Mohammad, TADAKAMADLA, JYOTHI, Tadakamadla, Santosh Kumar, Taheri Abkenar, Yasaman, Taheri Soodejani, Moslem, Taiba, Jabeen, Takahashi, Ken, Talaat, Iman M, Talukder, Ashis, Tampa, Mircea, Tamuzi, Jacques Lukenze, Tan, Ker-Kan, Tandukar, Sarmila, Tang, Haosu, Tang, Hong K, Tarigan, Ingan Ukur, Tariku, Mengistie Kassahun, Tariqujjaman, Md, Tarkang, Elvis Enowbeyang, Tavakoli Oliaee, Razieh, Tavangar, Seyed Mohammad, Taveira, Nuno, Tefera, Yibekal Manaye, Temsah, Mohamad-Hani, Temsah, Reem Mohamad Hani, Teramoto, Masayuki, Tesler, Riki, Teye-Kwadjo, Enoch, Thakur, Rishu, Thangaraju, Pugazhenthan, Thankappan, Kavumpurathu Raman, Tharwat, Samar, Thayakaran, Rasiah, Thomas, Nihal, Thomas, Nikhil Kenny, Thomson, Azalea M, Thrift, Amanda G, Thum, Chern Choong Chern, Thygesen, Lau Caspar, Tian, Jing, Tichopad, Ales, Ticoalu, Jansje Henny Vera, Tillawi, Tala, Tiruye, Tenaw Yimer, Titova, Mariya Vladimirovna, Tonelli, Marcello, Topor-Madry, Roman, Toriola, Adetunji T, Torre, Anna E, Touvier, Mathilde, Tovani-Palone, Marcos Roberto, Tran, Jasmine T, Tran, Nghia Minh, Trico, Domenico, Tromans, Samuel Joseph, Truyen, Thien Tan Tri Tai, Tsatsakis, Aristidis, Tsegay, Guesh Mebrahtom, Tsermpini, Evangelia Eirini, Tumurkhuu, Munkhtuya, Tung, Kang, Tyrovolas, Stefanos, Uddin, Sayed Mohammad Nazim, Udoakang, Aniefiok John, Udoh, Arit, Ullah, Atta, Ullah, Irfan, Ullah, Saeed, Ullah, Sana, Umakanthan, Srikanth, Umeokonkwo, Chukwuma David, Unim, Brigid, Unnikrishnan, Bhaskaran, Unsworth, Carolyn Anne, Upadhyay, Era, Urso, Daniele, Usman, Jibrin Sammani, Vahabi, Seyed Mohammad, Vaithinathan, Asokan Govindaraj, Valizadeh, Rohollah, Van de Velde, Sarah M, Van den Eynde, Jef, Varga, Orsolya, Vart, Priya, Varthya, Shoban Babu, Vasankari, Tommi Juhani, Vasic, Milena, Vaziri, Siavash, Vellingiri, Balachandar, Venketasubramanian, Narayanaswamy, Verghese, Nicholas Alexander, Verma, Madhur, Veroux, Massimiliano, Verras, Georgios-Ioannis, Vervoort, Dominique, Villafañe, Jorge Hugo, Villanueva, Gabriela Ines, Vinayak, Manish, Violante, Francesco S, Viskadourou, Maria, Vladimirov, Sergey Konstantinovitch, Vlassov, Vasily, Vo, Bay, Vollset, Stein Emil, Vongpradith, Avina, Vos, Theo, Vujcic, Isidora S, Vukovic, Rade, Wafa, Hatem A, Waheed, Yasir, Wamai, Richard G, Wang, Cong, Wang, Ning, Wang, Shu, Wang, Song, Wang, Yanzhong, Wang, Yuan-Pang, Waqas, Muhammad, Ward, Paul, Wassie, Emebet Gashaw, Watson, Stefanie, Watson, Stephanie Louise Watson, Weerakoon, Kosala Gayan, Wei, Melissa Y, Weintraub, Robert G, Weiss, Daniel J, Westerman, Ronny, Whisnant, Joanna L, Wiangkham, Taweewat, Wickramasinghe, Dakshitha Praneeth, Wickramasinghe, Nuwan Darshana, Wilandika, Angga, Wilkerson, Caroline, Willeit, Peter, Wilson, Shadrach, Wojewodzic, Marcin W, Woldegebreal, Demewoz H, Wolf, Axel Walter, Wolfe, Charles D A, Wondimagegene, Yohannes Addisu, Wong, Yen Jun, Wongsin, Utoomporn, Wu, Ai-Min, Wu, Chenkai, Wu, Felicia, Wu, Xinsheng, Wu, Zenghong, Xia, Juan, Xiao, Hong, Xie, Yang, Xu, Suowen, Xu, Wang-Dong, Xu, Xiaoyue, Xu, Yvonne Yiru, Yadollahpour, Ali, Yamagishi, Kazumasa, Yang, Danting, Yang, Lin, Yano, Yuichiro, Yao, Yao, Yaribeygi, Habib, Ye, Pengpeng, Yehualashet, Sisay Shewasinad, Yesiltepe, Metin, Yesuf, Subah Abderehim, Yezli, Saber, Yi, Siyan, Yigezu, Amanuel, Yiğit, Arzu, Yiğit, Vahit, Yip, Paul, Yismaw, Malede Berihun, Yismaw, Yazachew, Yon, Dong Keon, Yonemoto, Naohiro, Yoon, Seok-Jun, You, Yuyi, Younis, Mustafa Z, Yousefi, Zabihollah, Yu, Chuanhua, Yu, Yong, Yuh, Faith H, Zadey, Siddhesh, Zadnik, Vesna, Zafari, Nima, Zakham, Fathiah, Zaki, Nazar, Zaman, Sojib Bin, Zamora, Nelson, Zand, Ramin, Zangiabadian, Moein, Zar, Heather J, Zare, Iman, Zarrintan, Armin, Zeariya, Mohammed G M, Zeinali, Zahra, Zhang, Haijun, Zhang, Jianrong, Zhang, Jingya, Zhang, Liqun, Zhang, Yunquan, Zhang, Zhi-Jiang, Zhao, Hanqing, Zhong, Chenwen, Zhou, Juexiao, Zhu, Bin, Zhu, Lei, Ziafati, Makan, Zielińska, Magdalena, Zitoun, Osama A, Zoladl, Mohammad, Zou, Zhiyong, Zuhlke, Liesl J, Zumla, Alimuddin, Zweck, Elric, Zyoud, Samer H, Wool, Eve E, and Murray, Christopher J L
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- 2024
34. Metabolic disorders in patients diagnosed with colorectal cancer.
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Levy, Julia A., primary, Lorona, Nicole C., additional, Gigic, Biljana, additional, Li, Christopher I., additional, Ose, Jennifer, additional, Shibata, David, additional, Siegel, Erin M., additional, Toriola, Adetunji T., additional, Ulrich, Cornelia M, additional, Hardikar, Sheetal, additional, and Figueiredo, Jane C., additional
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- 2024
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35. Factors associated with changes in exercise behaviors during the COVID-19 pandemic
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Himbert, Caroline, Hathaway, Cassandra A., Daniels, Bailee, Salas, Karen, Ashworth, Anjelica, Gigic, Biljana, Lin, Tengda, Viskochil, Richard, Kirchhoff, Anne C., Grossman, Douglas, Ose, Jennifer, Tward, Jonathan, Scaife, Courtney, Figueiredo, Jane C., Toriola, Adetunji T., Beck, Anna, Shibata, David, Gonzalez, Brian D., Matsen, Cindy, Christenson, Cristina, Ma, Debra S., Colman, Howard, Hunt, Jason P., Jones, Kevin B., Lee, Catherine J., Larson, Mikaela, Onega, Tracy, Akerley, Wallace L., Li, Christopher I., Schneider, Martin, Penedo, Frank J., Siegel, Erin M., Tworoger, Shelley S., Ulrich, Cornelia M., and Peoples, Anita R.
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- 2022
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36. Changes in adiposity over the life course and gene expression in postmenopausal women
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Yunan Han, Graham A. Colditz, and Adetunji T. Toriola
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adiposity ,BMI change ,gene expression ,growth factor ,postmenopausal ,RANK pathway ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Early life adiposity and changes in adiposity over the life course are associated with mammographic breast density among postmenopausal women. However, the underlying mechanisms are unknown; therefore, we comprehensively examined the associations of early life body mass index (BMI) and changes in BMI from ages 10, 18 to age at mammogram with growth factor, RANK pathway, and sex hormone gene expression in 372 postmenopausal women. Methods We estimated early life BMI at age 10 using the validated 9‐level Stunkard pictogram. We calculated BMI at other ages (18, 30, and current age at mammogram) by dividing weight in kilograms at these ages with height in meters squared. Sequencing for gene expression was performed using the NanoString nCounter system. After adjusting for confounders, we estimated associations using multivariable linear regressions. Results A 10 kg/m2 increase in early life BMI at age 10 was associated with a 17.2% decrease in RANKL gene expression (95% confidence interval [CI] = −30.8, −0.9) but was not associated with changes in other markers. BMI changes from ages 10, 18 to age at mammogram were associated with an increase in BMP2 and decreases in RANK, RANKL, and TNFRSF13B gene expression but were not associated with gene expression of other markers. A 10 kg/m2 increase in early life BMI from age 10 to current age was associated with a 7.8% increase in BMP2 (95% CI = −1.4, 17.8), an 8.5% decrease in RANK (95% CI = −13.9, −2.8), a 10.4% decrease in RANKL (95% CI = −16.9, −3.3), and an 8.5% decrease in TNFRSF13B gene expression (95% CI = −13.8, −2.8). Conclusion The results provide new insights into the biological mechanisms underlying the associations of adiposity changes from early life to adulthood and early life adiposity with mammographic breast density in postmenopausal women.
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- 2022
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37. Allium vineale methanol extract attenuated oxidative stress and inflammation induced by doxorubicin in Sprague Dawley Rats
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Akinloye, Oluseyi A., Sulaimon, Lateef A., Adewale, Abiodun O., Mubaraq, Toriola, Salami, Olanrewaju, and Abiola, Odubiyi
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- 2022
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38. Joanne Knight Breast Health Cohort at Siteman Cancer Center
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Colditz, Graham A., Bennett, Debbie L., Tappenden, Jennifer, Beers, Courtney, Ackermann, Nicole, Wu, Ningying, Luo, Jingqin, Humble, Sarah, Linnenbringer, Erin, Davis, Kia, Jiang, Shu, and Toriola, Adetunji T.
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- 2022
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39. Hormone and receptor activator of NF-κB (RANK) pathway gene expression in plasma and mammographic breast density in postmenopausal women
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Mintz, Rachel, Wang, Mei, Xu, Shuai, Colditz, Graham A., Markovic, Chris, and Toriola, Adetunji T.
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- 2022
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40. MONETARY INFLATION AND FISCAL SPENDING IN NIGERIA
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Anu Keshiro TORIOLA, Walid Gbadebo ADEBOSIN, Adegboyega Sule OYEWOLE, and Felix ABERU
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fiscal spending ,inflation ,Law ,Law in general. Comparative and uniform law. Jurisprudence ,K1-7720 ,Social Sciences ,Finance ,HG1-9999 - Abstract
In Nigeria, fiscal expenditures continue to grow without a corresponding increase in revenue. This has worsened fiscal sustainability resulting in high rate of deficits and severe inflationary pressure. In this study, we examined the relationship between monetary inflation and fiscal spending in Nigeria using time series data from 1981 to 2016. Following ex post facto research design, we employ Least Squares (LS) technique in the estimation while line graph, normality test, correlation analysis were used in the preliminary analysis. Data for the model in which inflation was made a function of government recurrent expenditure, government capital expenditure and interest rate were collected Central Bank of Nigeria (CBN) Statistical Bulletin. The findings indicates that government capital spending (𝛽𝛽=-0.778665, t=-10.1298, p
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- 2022
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41. Hormone and receptor activator of NF-κB (RANK) pathway gene expression in plasma and mammographic breast density in postmenopausal women
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Rachel Mintz, Mei Wang, Shuai Xu, Graham A. Colditz, Chris Markovic, and Adetunji T. Toriola
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Mammographic breast density ,Hormones ,RANK ,RANKL ,Gene expression ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Background Hormones impact breast tissue proliferation. Studies investigating the associations of circulating hormone levels with mammographic breast density have reported conflicting results. Due to the limited number of studies, we investigated the associations of hormone gene expression as well as their downstream mediators within the plasma with mammographic breast density in postmenopausal women. Methods We recruited postmenopausal women at their annual screening mammogram at Washington University School of Medicine, St. Louis. We used the NanoString nCounter platform to quantify gene expression of hormones (prolactin, progesterone receptor (PGR), estrogen receptor 1 (ESR1), signal transducer and activator of transcription (STAT1 and STAT5), and receptor activator of nuclear factor-kB (RANK) pathway markers (RANK, RANKL, osteoprotegerin, TNFRSF18, and TNFRSF13B) in plasma. We used Volpara to measure volumetric percent density, dense volume, and non-dense volume. Linear regression models, adjusted for confounders, were used to evaluate associations between gene expression (linear fold change) and mammographic breast density. Results One unit increase in ESR1, RANK, and TNFRSF18 gene expression was associated with 8% (95% CI 0–15%, p value = 0.05), 10% (95% CI 0–20%, p value = 0.04) and % (95% CI 0–9%, p value = 0.04) higher volumetric percent density, respectively. There were no associations between gene expression of other markers and volumetric percent density. One unit increase in osteoprotegerin and PGR gene expression was associated with 12% (95% CI 4–19%, p value = 0.003) and 7% (95% CI 0–13%, p value = 0.04) lower non-dense volume, respectively. Conclusion These findings provide new insight on the associations of plasma hormonal and RANK pathway gene expression with mammographic breast density in postmenopausal women and require confirmation in other studies.
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- 2022
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42. End-user stakeholders' management framework for public private partnership road project in Nigeria
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Toriola-Coker, Olalekan Luqman
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710 - Abstract
Many developing nations such as Nigeria have embraced PPP approach in order to bridge their significant infrastructural gaps such as prisons, roads, schools, rail tracks and train systems, among others, through Public Private Partnership (PPP) schemes which have gained international recognition in the last two decades. One of the major factors militating against PPP projects successful growth and development in Nigeria and some part of the world is poor end-user stakeholder management. There is a paucity of research on end-user stakeholder management in PPP projects within Nigerian context despite significant efforts on researchwhich informs this study aim to develop a framework that will encapsulate the strategic approach for successful management of the diverse interests of end user stakeholders of the PPP road projects in Nigeria. The pragmatism philosophical paradigms with the mixed method approach were adopted. The case study and survey strategies were used with end-users and professionals that have worked on the PPP projects as target respondents. The two cases used are Lekki-Epe PPP toll road and Apakun Muritala Muhammed PPP toll road. Eighteen interviews were carried out and analysed using thematic analysis (qualitative). A total number of 282 completed questionnaires were retrieved and analysed using reliability and factor analysis (quantitative). The thematic analysis resulted in 29 themes which were used to create the 33 variables used in questionnaire. Reliability analysis of questionnaire data revealed five variables as unreliable. Factor analysis of the remaining 28 variables revealed seven valid underlying factors which affects end-users stakeholders’ management framework in PPP road project in Lagos Nigeria. These factors are: safety efforts by the contractor; socio-economic impact; benefit realisation and community participation; environmental impact; public utilities compensation; integration with the host community; and integration with political groups. Considering all these factors, it can be concluded that the end-users stakeholders believed that their active involvement in decision-making on PPP projects from inception to conclusion is a major solution to the problem of end-user stakeholder’s agitation in Nigeria.
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- 2018
43. Association of circulating leukocyte telomere length with survival in patients with colorectal cancer
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Pauleck, Svenja, Gigic, Biljana, Cawthon, Richard M., Ose, Jennifer, Peoples, Anita R., Warby, Christy A., Sinnott, Jennifer A., Lin, Tengda, Boehm, Juergen, Schrotz-King, Petra, Li, Christopher I., Shibata, David, Siegel, Erin M., Figueiredo, Jane C., Toriola, Adetunji T., Schneider, Martin, Ulrich, Alexis B., Hoffmeister, Albrecht, Ulrich, Cornelia M., and Hardikar, Sheetal
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- 2022
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44. Psychometric Evaluation of the Powe Fatalism Inventory.
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Keller, Kristin G., Toriola, Adetunji T., and Schneider, Joanne Kraenzle
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MULTITRAIT multimethod techniques ,PEARSON correlation (Statistics) ,PESSIMISM ,SCALE analysis (Psychology) ,CRONBACH'S alpha ,RESEARCH funding ,RESEARCH methodology evaluation ,QUESTIONNAIRES ,POSTMENOPAUSE ,DESCRIPTIVE statistics ,TREATMENT effectiveness ,EMOTIONS ,PSYCHOMETRICS ,BREAST physiology ,STATISTICAL reliability ,STATISTICS ,DISEASE complications ,TUMORS ,DATA analysis software ,FACTOR analysis ,EVALUATION - Abstract
Background and Purpose: Powe conceptually defined "cancer fatalism" and developed the Powe Fatalism Inventory (PFI) to operationalize cancer fatalism. Researchers report disparate underlying factor structures, and sparse evidence supports the validity and reliability of the PFI. Therefore, the purpose of this study was to examine the psychometric properties of the PFI. Specifically, we aimed to examine its (a) underlying dimensions, (b) internal consistency, and (c) construct validity. Methods: We recruited 400 post-menopausal women, 50–64 years old, for a study on mammographic breast density. Women completed the 15-item PFI and the 8-item Champion Breast Cancer Fear Scale (CBCFS). We conducted item analyses and exploratory factor analysis and evaluated different factor structures. We estimated internal consistency and conducted Pearson correlations between PFI and CBCFS scores to examine construct validity. Results: We found a two-factor solution. Factor 1, Predetermination, had an eigenvalue of 5.2 and explained 43% of the variance with factor loadings ranging from −0.59 to −0.83. Factor 2, Pessimism, had an eigenvalue of 4.5 and explained 15.2% of the variance with factor loadings ranging from 0.63 to 0.77. Both factors together explained 58.2% of the variance. There were no cross-loading items and no item loadings below 0.4. The two subscales both had alphas of.89. Cancer fatalism scores were positively related to fear scores (r =.317, p <.001, 95% CI: 0.222, 0.406). Conclusion: Using PFI responses from postmenopausal women, we determined that the two-factor solution was the most parsimonious yet theoretically sound factor structure underlying the 15 items of the PFI. The subscales Predetermination (Factor 1; six items) and Pessimism (Factor 2; nine items) were internally consistent with the evidence of the construct validity. [ABSTRACT FROM AUTHOR]
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- 2024
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45. The New Proposed U.S. Preventive Services Task Force Recommendation on Breast Cancer Screening for Women in Their 40s.
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Lee, Michelle V., Garrett, Heather V., Weilbaecher, Katherine, Toriola, Adetunji, and Bennett, Debbie Lee
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MEDICAL care costs ,BREAST cancer ,MEDICAL screening ,YOUNG women ,EARLY detection of cancer - Abstract
The article discusses the proposed U.S. Preventive Services Task Force recommendation on breast cancer screening for women in their 40s. It argues against changing the current recommendation to begin mammography at age 40, citing the importance of early detection in saving lives. The article acknowledges potential harms such as anxiety and overdiagnosis but emphasizes the substantial harms of not screening. It presents recent studies that support screening women in their 40s and highlights the increase in breast cancer incidence rates among women under 50. The updated recommendations aim to provide clarity to women in their 40s and are supported by current Task Force representatives and scientific evidence. [Extracted from the article]
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- 2024
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46. MONETARY POLICY SHOCKS AND ECONOMIC GROWTH IN NIGERIA
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Lateef Abiodun SALAMI and Anu K. TORIOLA
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monetary policy ,Law ,Law in general. Comparative and uniform law. Jurisprudence ,K1-7720 ,Social Sciences ,Finance ,HG1-9999 - Abstract
This study examines monetary policy shocks and economic growth in Nigeria. This study following ex post facto research design employed a regression model where economic growth was the dependent variable while money supply, inflation and interest rate were the explanatory variables. Time series data over the period of 1986 to 2018 sourced from Central Bank of Nigeria (CBN) Statistical Bulletin and World Bank Development Index (WDI) was utilized. The study employed the Vector Autoregression (VAR) techniques in the analysis. The result of the vector autoregression estimation shows that money supply exert a significant positive effect on economic growth in Nigeria while inflation and interest rate exert an insignificant positive effect on economic growth in Nigeria. The result proves that monetary policy shocks exert a significant effect on economic growth in Nigeria while interest rate and inflation do not show any effect. It was recommended that the CBN should ensure the downward review of the Monetary Policy Rate of 12% to 9 percent so as to enhance more financial accessibility.
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- 2021
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47. Applied artificial intelligence for predicting construction projects delay
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Egwim, Christian Nnaemeka, Alaka, Hafiz, Toriola-Coker, Luqman Olalekan, Balogun, Habeeb, and Sunmola, Funlade
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- 2021
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48. Advancing Pediatric Care: The virtualKIDS Experience in Nursing-Led Audio-Visual Clinical Services
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Toriola, Eunice, primary, Biviano, Lyn, additional, Lau, Christine, additional, Hooke, Natalie, additional, Donnelly, Amie, additional, Dickins, Emma, additional, Pengilly, Sandra, additional, Ging, Joanne, additional, Shaw, Nadine, additional, and Singh, Jagdev, additional
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- 2024
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49. Beyond mammographic density: a computational imaging approach to identify effects of early adulthood adiposity on breast parenchymal tissue patterns in premenopausal women
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Das Gupta, Sneha, primary, Getz, Kayla, additional, Hernández López, Juanita, additional, Bennett, Debbie L., additional, Toriola, Adetunji T., additional, and Gastounioti, Aimilia, additional
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- 2024
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50. Does circulating progesterone mediate the associations of single nucleotide polymorphisms in progesterone receptor (PGR)-related genes with mammographic breast density in premenopausal women?
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Favour A. Akinjiyan, Yunan Han, Jingqin Luo, and Adetunji T. Toriola
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Progesterone ,Genetics ,Mammographic breast density ,SNPs ,Breast ,Premenopausal ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Abstract Progesterone is a proliferative hormone in the breast but the associations of genetic variations in progesterone-regulated pathways with mammographic breast density (MD) in premenopausal women and whether these associations are mediated through circulating progesterone are not clearly defined. We, therefore, investigated these associations in 364 premenopausal women with a median age of 44 years. We sequenced 179 progesterone receptor (PGR)-related single nucleotide polymorphisms (SNPs). We measured volumetric percent density (VPD) and non-dense volume (NDV) using Volpara. Linear regression models were fit on circulating progesterone or VPD/NDV separately. We performed mediation analysis to evaluate whether the effect of a SNP on VPD/NDV is mediated through circulating progesterone. All analyses were adjusted for confounders, phase of menstrual cycle and the Benjamini–Hochberg false discovery (FDR) adjusted p-value was applied to correct for multiple testing. In multivariable analyses, only PGR rs657516 had a direct effect on VPD (averaged direct effect estimate = − 0.20, 95%CI = − 0.38 ~ − 0.04, p-value = 0.02) but this was not statistically significant after FDR correction and the effect was not mediated by circulating progesterone (mediation effect averaged across the two genotypes = 0.01, 95%CI = − 0.02 ~ 0.03, p-value = 0.70). Five SNPs (PGR rs11571241, rs11571239, rs1824128, rs11571150, PGRMC1 rs41294894) were associated with circulating progesterone but these were not statistically significant after FDR correction. SNPs in PGR-related genes were not associated with VPD, NDV and circulating progesterone did not mediate the associations, suggesting that the effects, if any, of these SNPs on MD are independent of circulating progesterone.
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- 2021
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