Sociodemographic Characteristics, Dietary Practices, and Nutritional Status of Adults with Hypertension in a Semi-Rural Community in the Eastern Region of Ghana by Esi K. Colecraft, Matilda Asante, Aaron K. Christian, Seth Adu-Afarwuah

“…Signifcantly more participants in the age group above 50 than the younger participants had elevated SBP (83.3 vs. 16.7:P=0.027) and those with BMI equal to or greater than 25 were more likely to have both elevated SBP and DBP (P=0.047). …”
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Methodological insights into intervention and outcomes in randomised controlled trials of herbal medicine for obesity: a scoping review by Janice Sue Wen Chan, Mei Siu Lau, Siti Hajar Muhamad Rosli, Siti Khadijah Mustapha Kamal, Wan Nurul Nadia Wan Seman, Nurul Hidayah Ali, Terence Yew Chin Tan, Ida Farah Ahmad, Puspawathy Krishnan, Marisa Khatijah Borhan, Ami Fazlin Syed Mohamed, Xin Yi Lim

“…Eligibility criteria: This review included RCTs of participants of all ages with obesity utilising herbal medicine with any comparators and focusing on various outcome measures. …”
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How does a social norms-based intervention affect behaviour change? Interim findings from a cluster randomised controlled trial in Odisha, India by Hagere Yilma, Erica Sedlander, Satyanarayan Mohanty, Ichhya Pant, Jeffrey Bingenheimer, Lipika Patro, Rohini Ganjoo, Rajiv Rimal

“…The Reduction in Anaemia through Normative Innovations (RANI) project designed an intervention to increase iron folic acid (IFA) consumption in Odisha, India.Objective This paper examines the effect of the intervention at midline to understand which components of the RANI intervention affect uptake.Methods Using a cluster randomised controlled design, we collected baseline data and midline data 6 months later from women of reproductive age in the control and treatment arms (n=3800) in Angul, Odisha, India. …”
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Proximate and distant determinants of maternal and neonatal mortality in the postnatal period: A scoping review of data from low- and middle-income countries. by Preston Izulla, Angela Muriuki, Michael Kiragu, Melanie Yahner, Virginia Fonner, Syeda Nabin Ara Nitu, Bernard Osir, Farahat Bello, Joseph de Graft-Johnson

“…Harmonizing categorization of factors (e.g., age, education) is a gap for future research.…”
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Assessment of Paediatricians’ Oral Health Knowledge, Behaviour, and Attitude in the United Arab Emirates by Noora Aburahima, Iyad Hussein, Mawlood Kowash, Anas Alsalami, Manal Al Halabi

“…Nearly half of the paediatricians (95 (51.4%)) identified the appropriate age for child’s first dental visit; while 88 (47.6%) believed that the appropriate age to start brushing was after the eruption of the primary molars (2-3 yrs), and 132 (71.4%) believed that the ideal time to give sugary snacks is in between meals. 123 (66.5%) participants said that they would prescribe antibiotics to treat local dental sepsis without fever. …”
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Subnational mapping of anaemia and aetiologic factors in the West and Central African region by Kaleab Baye, Bayuh Asmamaw Hailu, Simeon Nanama, John Ntambi, Arnaud Laillou

“…We aimed to generate subnational maps of anaemia among women of reproductive age (WRA), malaria transmission and hemoglobinopathies to identify priority areas but also explore their geographical overlap. …”
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Investigating the relationship of hydration status on the clinical outcomes of COVID-19 patients by Mahdiye Rezaei, Nader Salari, Amirhossein Naghibzadeh, Mohammad Mohammadi, Alireza Abdi

“…Results The study included 110 participants with an average age of 58.2 ± 17.9 years. Females constituted 52.3% of the patient population. …”
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Economic Burden of Contraception Management in Spain by Inmaculada Parra Ribes, Juan José Rascón Poza, Ezequiel Pérez Campos, Ignacio Bugella Yudice, Maria Jesús Rodríguez Domingo

“…There are differences in contraceptive use according to women’s age. Short-acting reversible contraceptives (SARC) such as COC, condom and vaginal ring, are most commonly used by younger women. …”
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Machine Learning Does Not Improve Humeral Torsion Prediction Compared to Regression in Baseball Pitchers by Garrett S Bullock, Charles A Thigpen, Gary S Collins, Nigel K Arden, Thomas K Noonan, Michael J Kissenberth, Ellen Shanley

“… # Results Four hundred and seven pitchers (Age: 23.2 +/-2.4 years, body mass index: 25.1 +/-2.3 km/m^2^, Left-Handed: 17%) participated. …”
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Association between Polyunsaturated Fatty Acid Profile and Bronchial Inflammation in Bronchiolitis Obliterans by Silvija P. Jerkic, Laura Bächle, Ruth Pia Duecker, Lucia Gronau, Andreas G. Chiocchetti, Stefan Zielen, Ralf Schubert

“…Twenty-five patients with BO (age: 13; 7–39) and 26 healthy controls (age: 19; 7–31) participated in the study. …”
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The adductor pollicis muscle thickness is not associated with physical function, lean mass, and nutritional status in patients on maintenance hemodialysis by Débora Moreira Morais, Isadora Cordeiro Trombim, Cassiana Regina de Góes, Barbara Perez Vogt

“…The nutritional status was evaluated by the Malnutrition Inflammation Score (MIS).ResultsFifty-one patients were included, 60.8% men, mean age 58.4 ± 12.6 years. There were no significant correlations of APMT with physical function, muscle mass and nutritional status. …”
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Risk factors of functional dyspepsia, gastrointestinal reflux disease and non-erosive reflux disease by Malik Ayesha, Din Rafi Ud, Asif Mahrosh, Naeem Iqra, Habib Aamir, Khan Asma Arshad

“…Low BMI, female gender and anxiety were strongly associated with functional dyspepsia and non-erosive reflux disease. Conclusion: Age, BMI, gender, tobacco, anxiety, depression, dietary habits and food frequencies are significant risk factors of dyspepsia and reflux disease.…”
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Prevalence and level of stress among final-year students at a health science institute in Bangladesh by Md. Jonaied Alam, Mahmudul Islam Khan Pratik, Abid Hasan Khan, Muhammad Shahidul Islam, Muhammad Millat Hossain

“…The Pearson correlation coefficient was used to find any deep relation between the levels of stress symptoms of the students with their age. Results The prevalence of stress symptoms among the 134 students was 68.60%. …”
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Mortality and reoperations following treatment of acetabular fractures in patients ≥ 70 years: a retrospective cohort study of 247 patients by Johan Ljungdahl, Björn Hernefalk, Anna Pallin, Anders Brüggemann, Nils P Hailer, Olof Wolf

“…Results: 247 patients (67% men) with a median age of 80 years (range 70–102) were included. Most patients were ASA class 3 (67%). 148 (60%) patients were treated operatively. …”
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Histogram of Apparent Diffusion Coefficient to Evaluate the Activity of Thyroid‐Associated Ophthalmopathy by Defu Li, Tingting Zhu, Yujin Wang

“…The area under the curve (AUC) of the 10th percentile of the ADC histogram and the median distinguishing between active and inactive TAOs were both 0.791 (both p < 0.05), and the AUCs of the combined model of age, sex, smoking, and the 10th percentile in the ADC histogram were better than those of their individual models and the combined model of age, sex, and smoking (all p < 0.05). …”
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Content and outcome of non-pharmacological rehabilitation in hospital, or community-based care, for women with traumatic brain injury: a scoping review protocol by Kajsa Lidström Holmqvist, Thomas Strandberg, Grahame Simpson, Jessica Massey, Marie Matérne

“…The following inclusion criteria will be applied: peer-reviewed studies published in English over the years 2000–2024 including description of content and outcomes of non-pharmacological TBI rehabilitation for women aged between 16 and 65 years in both inpatient and outpatient contexts. …”
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Prediction of Liver Steatosis and Fibrosis Based on Clinical Variables Using a Large National Survey Database by Yanal Alnimer, Touleen Alnimer

“…Body mass index, hemoglobin A1c, serum triglyceride level, sex, and age could provide a good prediction for liver steatosis, while body mass index, blood pressure, platelet counts, hemoglobin A1c, serum LDL, or HDL are highly associated with liver fibrosis and should be used as an initial screening tool prior referral for VCTE/CAP.…”
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Bioinformatics and System Biological Approaches for the Identification of Genetic Risk Factors in the Progression of Cardiovascular Disease by Joy Dip Barua, Shudeb Babu Sen Omit, Humayan Kabir Rana, Nitun Kumar Podder, Utpala Nanda Chowdhury, Md Habibur Rahman

“…Our experimental outcomes indicate a strong association of CVD with its risk factors of HTN, T2D, HCL, obesity, and aging. Conclusions. Our computational approach explored the genetic association of CVD with its risk factors by identifying the significant DEGs, hub proteins, and signaling and ontological pathways. …”
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Prediction of stunting and its socioeconomic determinants among adolescent girls in Ethiopia using machine learning algorithms. by Alemu Birara Zemariam, Biruk Beletew Abate, Addis Wondmagegn Alamaw, Eyob Shitie Lake, Gizachew Yilak, Mulat Ayele, Befkad Derese Tilahun, Habtamu Setegn Ngusie

“…<h4>Methods</h4>A total of 3156 weighted samples of adolescent girls aged 15-19 years were used from the 2016 Ethiopian Demographic and Health Survey dataset. …”
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Non-pharmacological Methods Used in the Management of Type 2 Diabetes Mellitus by a Selected Group of People with T2DM in Colombo District, Sri Lanka: A Mixed-Method Study by Lakshani Herath, Manisha Kamalsiri, Perananthan Inthuja, Gayani P Gamage, Dinithi Vidanage

“…Adherence to family meal culture, resistance to follow dietary guidelines, aging, low income, and lack of time were reported by the participants as barriers to adherence. …”
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