Association between exposure in the cement production industry and non-malignant respiratory effects: a systematic review by Anne Kristin Møller Fell, Karl Christian Nordby

“…Hence, no firm conclusions can be drawn. There are few longitudinal data, but recent studies report a dose–response relationship between cement production dust exposure and declining lung function indicating a causal relationship, and underlining the need to reduce exposure among workers in this industry.…”
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Is leisure sedentary time associated with mental health issues? Evidence from China Health and Nutrition Survey by Hao Li, Hao Li, Weihong Zeng, Weihong Zeng

“…This study aims to provide evidence on leisure sedentary behaviors on mental health using longitudinal data, along with its moderating and mediating roles.MethodsWe utilized data from four waves (2006–2015) of the China Health and Nutrition Survey (CHNS), focusing on adults who completed their education, with a total sample of 23,693 observations. …”
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Triglyceride-glucose index in predicting the risk of new-onset diabetes in the general population aged 45 years and older: a national prospective cohort study by Yingqi Shan, Qingyang Liu, Tianshu Gao

“…Methods This study used longitudinal data from five waves of the China Health and Retirement Longitudinal Study (CHARLS) conducted in 2011, 2013, 2015, 2018, and 2020, involving 5886 participants. …”
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Dynamics of hospitalizations and staffing of Ukraine’s mental health services during the Russian invasion by Irina Pinchuk, Ryunosuke Goto, Oleksiy Kolodezhny, Nataliia Pimenova, Norbert Skokauskas

“…Abstract Background Since February 2022, the people of Ukraine have experienced devastating losses due to the Russian invasion, increasing the demand for mental healthcare across the nation. Using longitudinal data on mental health facilities across the nation up to summer 2022, we aimed to provide an updated picture of Ukrainian mental health services during the 2022 Russian invasion. …”
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Evaluation and Measurement of Health-Related Quality of Life for Individuals with Diabetes Mellitus by Health Utilities Index Mark 3 (HUI3) System by Frank Mo, Howard Morrison, Bernard C.K. Choi, Lianne Vardy

“…The study was based on the Canadian National Population Survey (NPHS) longitudinal data, from 1994—1995 to 2002—2003. We evaluated overall HUI3 scores and eight attributes (vision, hearing, speech, ambulation, dexterity, emotion, cognition, and pain) between respondents with and without diabetes in relation to demographic characteristics (age, sex, lifestyle, and socioeconomic status using ANCOVA[analysis of covariance]). …”
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Association between maternal haemoglobin status during pregnancy and children’s mental and psychomotor development at 18 months of age: Evidence from rural Bangladesh by Sayedur Rahman, Lina Wallberg, Anisur Rahman, Eva-Charlotte Ekström, Maria Kippler, Jena D Hamadani, Syed Moshfiqur Rahman

“…There is a scarcity of longitudinal data on the relationship between maternal Hb levels during pregnancy and neurodevelopment in children. …”
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T-Cell Subsets in Rheumatoid Arthritis Patients on Long-Term Anti-TNF or IL-6 Receptor Blocker Therapy by Sonja Dulic, Zsófia Vásárhelyi, Florentina Sava, László Berta, Balázs Szalay, Gergely Toldi, László Kovács, Attila Balog

“…We obtained transversal and longitudinal data in 30 anti-TNF responders, 19 secondary anti-TNF nonresponders, and 43 IL-6R antagonist responders, before, 8 weeks and at least 6 months after biological therapy. …”
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Scrutinizing the Gateway Relationship Between Gaming and Gambling Disorder: Scoping Review With a Focus on the Southeast Asian Region by Kristiana Siste, Daniel L King, Enjeline Hanafi, Lee Thung Sen, Adrian Adrian, Belinda Julivia Murtani

“…The field requires further longitudinal data to determine the directionality and significant precipitating factors of the gateway effect, particularly evidence from Asia.…”
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Patient-reported outcome improvements following scalp hair regrowth among patients with Alopecia Areata: analysis of the ALLEGRO-2b/3 trial by Ernest H. Law, Kent A. Hanson, Matthew Harries, Dane Korver, Bintu Sherif, Costel Chirila

“…Clinically meaningful hair regrowth is possible, but the relationship with downstream patient-reported outcomes (PROs) is complex.Materials and methods: This post hoc analysis of ALLEGRO-2b/3 (NCT03732807) longitudinal data from Weeks 24–48 compared improvements in PROs between patients who achieved (responders) or did not achieve (non-responders) clinically meaningful scalp hair regrowth. …”
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A deep learning approach for classifying and predicting children's nutritional status in Ethiopia using LSTM-FC neural networks by Getnet Bogale Begashaw, Temesgen Zewotir, Haile Mekonnen Fenta

“…This analysis is based on longitudinal data extracted from the Young Lives cohort study, which tracked 1,997 Ethiopian children across five survey rounds conducted from 2002 to 2016. …”
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Associations between cerebral blood flow and progression of white matter hyperintensities by Siriluk Thammasart, Danielle J. Harvey, Pauline Maillard, Charles DeCarli, Corinne A. Donnay, Gregory J. Wheeler, Audrey P. Fan, Audrey P. Fan

“…However, the pathophysiological mechanisms underlying WMHs, including dynamic changes in cerebral blood flow (CBF) within and adjacent to lesions, remain poorly understood.MethodsOur study examined a diverse cohort of 300 elderly participants through arterial spin labeling (ASL) on 3 Tesla MRI, analyzing both cross-sectional and longitudinal data. We characterized the relationship between CBF and WMH development in different lesion locations (based on distance from ventricles) and brain tissue types (WMH lesion, penumbra, and normal white matter).ResultsOur findings reveal that WMHs exhibit significantly lower relative CBF (rCBF) compared to penumbra, normal-appearing white matter, and gray matter, with juxtaventricular WMHs (JVWMH) displaying the most substantial reductions. …”
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Comparison of 3 Aging Metrics in Dual Declines to Capture All-Cause Dementia and Mortality Risk: Cohort Study by Anying Bai, Shan He, Yu Jiang, Weihao Xu, Zhanyi Lin

“…ObjectiveWe aim to compare the predictive capacities of 3 distinct aging metrics—motoric cognitive risk syndrome (MCR), physio-cognitive decline syndrome (PCDS), and cognitive frailty (CF)—for incident dementia and all-cause mortality among community-dwelling older adults. MethodsWe used longitudinal data from waves 10-15 of the Health and Retirement Study. …”
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Longitudinal functional outcomes and late effects of radiation following treatment of nasopharyngeal carcinoma: secondary analysis of a prospective cohort study by Gia Gill, Ciaran Lane, Candace Myers, Evan D. Kerr, Pascal Lambert, Andrew Cooke, Paul D. Kerr

“…Abstract Background The study objectives were: provide longitudinal data on upper aerodigestive tract function and late complications following IMRT for nasopharyngeal carcinoma, and elucidate factors that might predict a worse outcome. …”
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Predicting bullying victimization among adolescents using the risk and protective factor framework: a large-scale machine learning approach by Ethan Low, Joshua Monsen, Lindsay Schow, Rachel Roberts, Lucy Collins, Hayden Johnson, Carl L. Hanson, Quinn Snell, E. Shannon Tass

“…Future research should expand to diverse geographical areas and include longitudinal data to better understand causal relationships.…”
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Causes of death among older children and adolescents (5–19 years) in the Magu Health and Demographic Surveillance Study, Tanzania, 1995–2022 by Sophia Kagoye, Milly Marston, Yasson Abha, Eveline T. Konje, Mark Urassa, Jim Todd, Ties Boerma

“…Objectives To assess levels, trends, and risk factors of cause-specific mortality and place at death among 5–19-year-olds in Tanzania (1995–2022). Methods Using longitudinal data from the Magu Health and Demographic Surveillance System in northwest Tanzania, we identified leading causes of death among 5–19-year-olds from verbal autopsy interviews, using physician review and a Bayesian probabilistic model (InSilicoVA). …”
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Does heatwaves/above-average temperature increase interpersonal violent behavior? A scoping review by Daniela ACQUADRO MARAN, Gaia DIBIASE, Sofia FILIPPETTI, Riccardo SANDRETTO, Antonella VARETTO, Claudio Giovanni CORTESE, Elisabetta CARRARO

“…Works including historical and longitudinal data were considered. Overall, the results of the studies included in the review highlighted a relationship between heatwaves and above-average temperature and interpersonal violence, and highest temperatures are presented as a predictor of interpersonal violence. …”
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Association of food security with cardiometabolic health during young adulthood: cross-sectional comparison of American Indian adults with other racial/ethnic groups by Cassandra J Nikolaus, Anna Zamora-Kapoor, Luciana E Hebert, Ka'imi Sinclair

“…Future work should capitalise on longitudinal data and the US Department of Agriculture’s Food Security Survey Modules.…”
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Exploring relationships between social media use, online exposure to drug-related content, and youth substance use in real time: a pilot ecological momentary assessment study in a... by Meredith Gansner, Meredith Gansner, Anna Katharine Horton, Rasika Singh, Zev Schuman-Olivier

“…This study used an ecological momentary assessment (EMA) protocol to collect longitudinal data on social media use and online drug-related exposures associated with youth substance use.MethodsParticipants, aged 12–23, receiving mental health treatment from a U.S. community-based hospital, joined a six-week, smartphone-based EMA protocol. …”
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The association between recent stressful life events and brain structure: a UK Biobank longitudinal MRI study by Cheryl R.Z. See, Annabel X. Tan, Lucia R. Valmaggia, Matthew J. Kempton

“…Methods The current study uses longitudinal data from the UK Biobank and comprises 4,543 participants with structural neuroimaging and recent SLE data (mean age = 61.5 years). …”
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Explainable machine learning models for identifying mild cognitive impairment in older patients with chronic pain by Xiaoang Zhang, Yuping Liao, Daying Zhang, Weichen Liu, Zhijian Wang, Yaxin Jin, Shushu Chen, Jianmei Wei

“…However, these findings require validation with longitudinal data to confirm predictive validity for MCI progression.…”
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