“Move, Eat, Repeat” in the Upper Seine Valley (France) during the Bronze Age: a multidisciplinary and multi-isotopic approach by Alessandra Varalli, Rebecca Peake, Estelle Herrscher, Ginette Auxiette, Vincent Balter, Valérie Delattre, Patrick Gouge, Claude Mordant, Mafalda Roscio, Françoise Toulemonde

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Rural-Urban Disparity in Premature Cancer Mortality in Young People Aged 15–44 Years in China, 2004–2021 by Chunrong Chen, Xing Xing, Shaojie Li, Bo Qu, Chunyu Liu, He Zhu, He Zhu

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Epidemiological trends and age-period-cohort effects on ischemic stroke burden across the BRICS-plus from 1992 to 2021 by Fangqun Cheng, Peiyu Cheng, Shudong Xie, Hailing Wang, Ying Tang, Ying Liu, Zhuo Xiao, Guixiang Zhang, Guangxiong Yuan, Ke Wang, Can Feng, Ying Zhou, Hong Xia, Yan Wang, Yuhang Wu

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Physical Activity Patterns and Risk of Type 2 Diabetes and Metabolic Syndrome in Middle-Aged and Elderly Northern Chinese Adults by Qian Wang, Xu Zhang, Li Fang, Qingbo Guan, Ling Gao, Qiu Li

“…In total, 2076 participants aged over 40 years were included in a cross-sectional analysis. …”
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Confronting the First-Level Digital Divide in the Digital Age: A Comparison Between Public and Private University Students in Turkiye by Cem Koray Olgun, İsa Demir, Cihad Özsöz

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The influence of spousal care on the health of middle-aged and older adult caregivers in China—empirical analysis based on CHARLS data by Rui Wang

“…ObjectivesWith the decrease of the number of children and the increase of population mobility, child care presents a phenomenon of “double shortage” of human and time resources, and spousal care is becoming an important care source for middle-aged and older adult people in China. However, less studies have taken middle-aged and older adult couples as research subject to explore the health effects of spousal care in the process of aging. …”
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Statistical exploration of factors associated with birth of children having sickle cell traits among reproductive-age women in Nigeria by Gabriel Ogunde, Ayodele Shabi, Joshua O. Akinyemi

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Accuracy of Demirjian’s and Cameriere’s Methods for Age Estimation in 6- to 10-Year-Old Iranian Children Using Panoramic Radiographs by S. Milani, M. Shahrabi, H. B Fakhar, S. Parvar, M. Abdolahzadeh

“…This study assessed the accuracy of Demirjian’s and Cameriere’s methods for age estimation in Iranian children using panoramic radiographs. …”
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Ecosystem carbon stock variation along forest stand ages: insight from eastern coast mangrove ecosystem of India by Muktipada Panda, Bikash R. Dash, Sudam C. Sahu

“…This study aimed to estimate the forest structural attributes, biomass and total ecosystem carbon stock (TECS) of old natural (age > 50 years) and young planted (age ~ 20 years) mangrove forest stands at Bichitrapur Mangrove Reserve Forest in eastern coast of India. …”
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Aged polylactic acid microplastics with ultraviolet irradiation stunted pakchoi (Brassica chinensis L.) germination and growth with cadmium in hydroponics by Lei Sun, Ya Liu, Yakun Feng, Zequn Fan, Lei Jiang, Can Lu, Cuiling Jiang

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Systematic identification and quantification of factors and their interactions with age, sex, and panel wave influencing cognitive function in Korean older adults by Eunmi Kim, Eunmi Kim, Jinkyung Oh, Jinkyung Oh, Jungsoo Gim, Jungsoo Gim, Jungsoo Gim, Iksoo Huh, Iksoo Huh

“…Among these variables, age interacted with sex, regular exercise, and marital status. …”
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The correlation between coagulation biomarkers, bone turnover markers, and bone mineral density in Chinese adults aged ≥ 50 years by Zhengming Wang, Rui Wang, Haiya Ge, Yong Gu, Sicheng Xian, Laijun Yan, Guoqing Du, Zhibi Shen, Shuaijie Lv, Hongsheng Zhan, Zhengyan Li

“…Conclusions For the Chinese population aged 50 and above, attention should be paid to alterations in coagulation biomarkers.…”
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Stucs et décors de la fin de l’Antiquité au Moyen Âge (Ve-XIIe siècle) by Christian Sapin

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Prevalence of Hypertension and Associated Factors among Residents Aged ≥18 Years in Ganzhou, China: A Cross-Sectional Study by Junwang Gu, Qi Wang, Wei Qiu, Fen Lin, Chunmei Wu, Ming Hao, Ping Wu

“…The prevalence of hypertension in Ganzhou was 28.5%, and the age-standardized prevalence of hypertension was 22.4%. …”
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Dynamic history of the Central Plain and Haidai region inferred from Late Neolithic to Iron Age ancient human genomes by Hui Fang, Fawei Liang, Hao Ma, Rui Wang, Haifeng He, Limin Qiu, Le Tao, Kongyang Zhu, Weihua Wu, Long Ma, Huazhen Zhang, Shuqing Chen, Chao Zhu, Haodong Chen, Yu Xu, Yongsheng Zhao, Haiwang Liu, Chuan-Chao Wang

“…Our study sheds light on the dynamic demographic history of the YR by co-analyzing previously published genomes and 31 newly generated Late Neolithic to Iron Age genomes from Shandong in the lower YR and the Central Plain in the middle YR. …”
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Magnetic resonance imaging in primates. The example of the mouse lemur (Microcebus murinus): From detection of pathological aging to therapeutic evaluations by Nelly Joseph-Mathurin, Olene Dorieux, Audrey Kraska, Anne Bertrand, Mathieu Santin, Nadine El Tannir El Tayara, Marc Dhenain

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Influence of Early Age on the Wave Velocity and Dynamic Compressive Strength of Concrete Based on Split Hopkinson Pressure Bar Tests by Shiming Wang, Longjun Dong, Jian Zhou

“…The effect of early age on the mechanical properties of concrete was investigated in this study. …”
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Prevalence and Predictors of Overweight and Obesity Among School-Aged Children in the Country of Georgia: A Cross-Sectional Study, 2022 by Natia Kakutia, William Michael Caudle, Ziad N. Kazzi, Lela Sturua, Shalva (Davit) Zarnadze, Nana Mebonia

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Gender Differences in Extramarital Behaviors Among Couples in Long-Distance Marriages in the Digital Age: A Study in Kigali, Rwanda by Alphonse Nkurunziza, Claudine Munganyinka

“…The rationale for the study stems from the increasing prevalence of long-distance marriages in the digital age, where technology serves as both a means of maintaining connection and a potential risk factor for infidelity. …”
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A real-world analysis of antidepressant medications in US veterans aged 60 years and older: a comparative analysis by Ryan D Pittman, S Scott Sutton, Joseph Magagnoli, Tammy H Cummings

“…Methods: This retrospective study analyzed data from the Veterans Affairs (VA) database, including 142,138 patients aged ≥60 years diagnosed with MDD. Patients prescribed bupropion, citalopram, duloxetine, escitalopram, fluoxetine, mirtazapine, paroxetine, sertraline, or venlafaxine were included. …”