Prevalence and factors influencing disability and cognitive impairment among empty nesters and non-empty nesters in Guangdong, China: a cross-sectional study by Jinhua Guo, Yi Yang, Lixia Lin, Yi Zhang, Tiemei Shen

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Survey of perceived sleep quality and nursing implications in 172 adult ICU patients by Chunping Gao, Aipeng Wang, Yun Wang, Yuanyuan He, Minmin Xu, Qing Wang

“…Abstract Objective To investigate the subjective sleep quality of awake adult ICU patients, analyze the relevant influencing factors, and provide evidence for developing a targeted sleep management plan. …”
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Network relationship analysis of the influencing factors and disease risk prediction for hyperlipidemia in the elderly population of Henan province based on a Bayesian network mode... by Wenjuan WANG, Hongji ZENG, Yahui LIU, Shufan WEI, Rui WANG, Qingfeng TIAN

“…Based on multivariate unconditional logistic regression analysis, a hyperlipidemia Bayesian network model was constructed using the Max-Min Hill-Climbing (MMHC) algorithm to analyze the network relationship of influencing factors for hyperlipidemia in the local elderly population and predict their disease risk. …”
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Investigating the relationship between the morphology of Tamarix, Calligonum, and Iranian mesquite with the morphological characteristics of Nebkas(Case Study: Rigan, Kerman) by Abdolmajid Amirzadeh Ghasri, Saeideh Kalantari, Mahdi Tazeh, Alibeman Mirjalili

“…Statistics were collected from 44 farms that use Tamarix plants, 51 farms that use Iranian mesquite plants, and 38 farms that use Calligonum plants in total.Results The regression analysis between plant height and Nabkhas height indicates that the slope of changes in Nabkhas height compared to changes in vegetation height is higher in sedge and mesquite plants than in Calligonum. …”
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Global and China trends and forecasts of disease burden for female lung Cancer from 1990 to 2021: a study based on the global burden of disease 2021 database by Bilu Li, Yuyan Wu, Yanhong Zhang, Chengyun Hu, Xue Li, Shanshan Luo, Chenyu Sun, Iyad Yousef, Yefei Wang, Chaoliang Tang

“…These metrics were stratified by gender (BOTH, MALE, FEMALE), and the average annual percentage change (AAPC) was calculated for each metric over this period. The JOINPOINT regression model was used to analyze the trends in female lung cancer in China and globally from 1990 to 2021. …”
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Seroprevalence of <i>Toxoplasma gondii</i> and Associated Risk Factors in Pregnant Women in Araçatuba, São Paulo, Brazil: A Multi-Level Analysis by Tatiani da Silva Palhota Lozano, Aline Benitez, Joice Cristina dos Santos, Italmar Teodorico Navarro, Walter Bertequini Nagata, Michel dos Santos Pinto, Jancarlo Ferreira Gomes, Gabriele Zaine Teixeira Debortoli, Thaís Rabelo Santos-Doni, Katia Denise Saraiva Bresciani

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Contrasting tracheal, bronchus, and lung cancer burdens and care quality: a comparative analysis of China and global trends by Xiuquan Lin, Shiwen Liu, Yating Ding, Jianhui Zhao, Fei He, Wenling Zhong

“…Joinpoint regression analysis and age-period-cohort models were used to estimate temporal trends, and principal component analysis was used to estimate the quality-of-care index (QCI). …”
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Understanding the pathway from cyberbullying to suicidal ideation: Depression as a mediating factor by Ratna Yunita Setiyani Subardjo, Daniella Maryam Mokhtar, Mohammad Rahim Kamaluddin, Nur Saadah Mohamad Aun, Zeeshan Khan, Yang Jie

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In-depth analysis of the risk factors for persistent severe acute respiratory syndrome coronavirus 2 infection and construction of predictive models: an exploratory research study by Jia Zhang, Weihua Zhu, Piping Jiang, Feng Ma, Yulin Li, Yuwei Cao, Jiaxin Li, Zhe Zhang, Xin Zhang, Wailong Zou, Jichao Chen

“…The outcome, “persistent SARS-CoV-2 infection,” was defined as viral nucleic acid positivity ≥ 14 days. Risk factors associated with persistent infection were identified through subgroup analysis with multiple logistic regression (adjusted for age, comorbidities, vaccination status, and virus strain) and machine learning models (70% training, 30% testing dataset). …”
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Analysis of the risk of reinfection and influencing factors of SARS-CoV-2 nucleic acid test positive individuals in Fengxian District， Shanghai， 2022 by SHI Weixing, QIN Meng, ZHANG Haibing, YUAN Yuan, HU Yi, LIU Qing, LIU Caixiong, FANG Ying

“…Kaplan-Meier survival analysis and Cox regression were used to analyze the influencing factors of reinfection.ResultsA total of 2 264 valid questionnaires were collected in the 8th month after nucleic acid tested positive, with a recovery rate of 87.7% and a reinfection rate of 9.7%. …”
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Trends and factors associated with anemia among women of reproductive age in Mali: analysis of data from 2001 to 2018 Mali demographic and health surveys by Ebenezer Kwesi Armah-Ansah, Eugene Budu, Charity Oga-Omenka, Marina Kolosnitsyna

“…We included a total weighted sample of 18,096 women of reproductive age who had participated in the hemoglobin test. Multilevel regression analysis was employed, and the results were presented as adjusted odds ratio (aOR), with 95% confidence intervals (CIs) and p-values used to show the results. …”
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Osteosarcopenia as a risk factor for depression: Longitudinal findings from the SHARE study by Nicola Veronese, Francesco Saverio Ragusa, Shaun Sabico, Ligia Juliana Dominguez, Mario Barbagallo, Gustavo Duque, Lee Smith, Nasser Al-Daghri

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Analysis of Factors Influencing Public Participation in Energy Conservation and Carbon Emission Reduction Projects in China’s Energy Industry Based on the Theory of Planned Behavio... by Ziyi Zhang, Tengqi Luo, Shibo Guo, Zejin Hu, Chunhao Liu, Qinyue Tan, Juan Fang

“…By employing a questionnaire survey, designing a 5-point Likert scale, and utilizing SPSS techniques for regression analysis and chi-square testing, this study explores and analyzes the potential factors influencing public willingness to engage in carbon emission reduction initiatives (CERIs). …”
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Factors affecting contraceptive use and unmet need among currently married women in Afghanistan: further analysis of the 2015 Afghanistan Demographic and Health Survey by Sabawoon Ajmal, Anwar Idris, Behzad Ajmal

“…# Background The objective of this study is to analyze socio-demographic factors affecting both contraceptive use and unmet need for family planning…”
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Assessment of Desertification Trends in Kerman Province Using Remote Sensing by Saeid Barkhori, Mojtaba Dolatkordestani, kimia javaheri

“…To simulate the trend of changes, linear regression analysis can be utilized. Results and DiscussionThe highest NDVI values over the 22 years are in March, April, May, and June, which indicate the highest growth and greenness of vegetation during these months, as per the results obtained. …”
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A latent class analysis of factors influencing preferences for infant respiratory syncytial virus (RSV) preventives among pregnant people in the United States by Martine C. Maculaitis, Brett Hauber, Kathleen M. Beusterien, Oliver Will, Lewis Kopenhafer, Amy W. Law, Jeffrey T. Vietri, Joseph C. Cappelleri, Joshua R. Coulter, Sarah Pugh, Kimberly M. Shea

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Analysis of Risk Factors for Death from Melanoma and Genitourinary Diseases in Male Patients with Cutaneous Melanoma: A Cohort Propensity Score Matching Study by Wang K, Wu W, Wei Y, Cao X

“…Cox regression analysis were performed to find the risk factors for death from GUD.Results: Seven thousand seventy-eight CM patients were included, including 6415 (90.6%) in cohort A and 663 (9.4%) in cohort B. …”
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Analysis of influencing factors and equity in hospitalization expense reimbursement for mobile populations based on random forest model: a cross-sectional study from China by Lisheng Shen, Xinan Lu, Yanyun Zhang, Lin Fei, Bo Dong

“…Third, the regression analysis was used to quantify the key factors. …”
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Multilevel risk analysis of postoperative pulmonary complications following mandibular fractures: a retrospective cohort study based on patient characteristics and healthcare syste... by Shuwei Liao, Guanxiong Zhu, Liting Zeng, Yang Yu, Zeyu Zhang, Hongru Zhang, Jingyuan Wang, Lina Yu

“…Abstract Background Pulmonary complications (PPCs) following mandibular fractures are serious post—surgery problems. This study analyzed risk factors of PPCs following mandibular fractures using the National Inpatient Sample (NIS) database, aiming to help clinicians specify surgical protocols and postoperative care for patients. …”
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Association of dietary patterns with the risk of central obesity in Chinese adults: the China Nutrition and Health Surveillance 2015–2017 by Jing Nan, Yuxiang Yang, Fusheng Li, Shuya Cai, Shuya Cai, Wei Piao, Wei Piao, Liyun Zhao, Liyun Zhao, Jiao Xu, Dongmei Yu, Dongmei Yu

“…The dietary frequency questionnaire was used to collect food intake information of the respondents, exploratory factor analysis was used to analyze the dietary patterns, and the relationship between dietary patterns and central obesity was analyzed by multivariate logistic regression.ResultsFour dietary patterns were extracted: classical pattern, vegetarian pattern, sugar-oil pattern, and western staple food pattern. …”
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