Evaluation of infant and young child feeding practices in low-income areas of Dhaka, Bangladesh: insights from a cross-sectional study using the 2021 WHO/UNICEF guideline by Saiful Islam, Sadia Sultana, Tasmia Tasnim, Kazi Muhammad Rezaul Karim, Md Hafizul Islam, Ali Abbas Mohammad Kurshed

“…Modified Poisson regression models were built to explore the relation between socio-demographic variables and each of the selected IYCF indicators (early initiation of breastfeeding (EIBF), exclusive breastfeeding (EBF), minimum dietary diversity (MDD), minimum meal frequency (MMF) and minimum acceptable diet (MAD)).Results More than two-thirds of the children were reported to follow appropriate breastfeeding practices (EIBF, 70.4% and EBF, 60.9%). …”
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Risk factors associated with the coexistence of stunting, underweight, and wasting in children under 5 from 31 sub-Saharan African countries by Eric Duku, Bright Opoku Ahinkorah, Abdul-Aziz Seidu, Richard Gyan Aboagye, Collins Adu, Iddrisu Amadu, James Boadu Frimpong, John Elvis Hagan Jnr., Belinda Ampah

“…We examined the risk of coexistence of stunting, underweight, and wasting using multinomial logistic regression models. The results were presented using relative risk ratios (RRR) with corresponding confidence intervals (CIs).Setting Thirty-one sub-Saharan African countries.Participants Children under age 5.Outcome measures The outcome variables were three child anthropometrics: stunting (height-for-age z-scores); underweight (weight-for-age z-scores) and wasting (weight-for-height z-scores).Results The prevalence of coexistence of stunting, underweight, and wasting varied across countries, with the highest (12.14%) and lowest (0.58%) prevalences of coexistence of stunting, underweight and wasting in Benin and Gambia respectively. …”
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Sources of risk communication, knowledge and preventive practices toward Lassa fever in Bauchi State, Nigeria by Benjamin Bukky Ilesanmi, Nathanael Afolabi, Olayinka Badmus, Munkail Titilola, Abdulmajid Ahmad, Usman Inuwa, Matthew Okoh, Hajara Aliyu, Shittu Abdu-Aguye, Foyeke Oyedokun-Adebagbo

“…Percentage and frequency were used to describe all the variables and binary logistic regression models were fitted to examine sources of risk communication and factors associated with KPLF at 95% confidence interval. …”
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Large-scale epidemiology of opisthorchiasis in 21 provinces in Thailand based on diagnosis by fecal egg examination and urine antigen assay and analysis of risk factors for infecti... by Kulthida Y Kopolrat, Chanika Worasith, Phattharaphon Wongphutorn, Anchalee Techasen, Chatanun Eamudomkarn, Jiraporn Sithithaworn, Watcharin Loilome, Nisana Namwat, Attapol Titapun, Chaiwat Tawarungruang, Bandit Thinkhamrop, Samarn Futrakul, Simon D Taylor-Robinson, Melissa R Haswell, Narong Khuntikeo, Thomas Crellen, Paiboon Sithithaworn

“…The data were analyzed with regression models which correlated individual-level explanatory variables against i) infection status with O. viverrini and ii) the intensity of infection, as measured by the antigen assay or FECT.…”
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Matrix Metalloproteinases 7 and 10 Are Prognostic Biomarkers for Systemic Cardiovascular Risk in Individuals with Peripheral Artery Disease by Ben Li, Farah Shaikh, Houssam Younes, Batool Abuhalimeh, Abdelrahman Zamzam, Rawand Abdin, Mohammad Qadura

“…Cox proportional hazards models, adjusted for baseline variables (including known cerebrovascular and coronary disease), were used to determine the independent associations between each protein and 2-year MACE. …”
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A randomized controlled trial to study the effect of supplemental premilking stimulation on milking performance, teat tissue condition, udder health, and well-being in dairy cows by A. Singh, M.E. Spellman, H. Somula, J.A. Valdevieso, R. Palme, M. Wieland

“…Generalized linear mixed models were used to study the effect of treatments on the outcome variables milk yield per milking and milking unit-on time. …”
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Multilevel and multidimensional features of socioeconomic status and cognitive function in older adulthood: a cross-sectional analysis of the IGNITE studyResearch in context by Jermon A. Drake, Lu Wan, Chaeryon Kang, Peter J. Gianaros, Patricio Solis-Urra, Haiqing Huang, Rebecca Reed, Charles H. Hillman, Eric D. Vidoni, Jeffrey M. Burns, Arthur F. Kramer, Edward McAuley, George Grove, Kirk I. Erickson, Lauren E. Oberlin

“…We generated a novel objective SES latent factor from measures of income, savings, debt-adjusted savings, and financial stability using full information maximum likelihood to address missing data, and examined cross–sectional associations of SES indicators with each cognitive domain as outcome variables in multivariable regression models. Findings: This study included 648 cognitively unimpaired older adults (69.88 (3.75) years; 71% female). …”
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Direct measurement of N₂O₅ heterogeneous uptake coefficients on atmospheric aerosols in southwestern China and evaluation of current parameterizations by J. Li, T. Zhai, T. Zhai, X. Chen, H. Wang, S. Xie, S. Chen, C. Li, C. Li, Y. Gong, H. Dong, K. Lu

“…We found that several parameterizations can capture the median of measured values, whereas none of the 10 parameterizations were able to reproduce the variabilities and showed poor correlations (<span class="inline-formula"><i>R</i>²=0.00</span>–0.09). …”
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