Parental Technoference and Child Problematic Media Use: Meta-Analysis by Jinghui Zhang, Qing Zhang, Bowen Xiao, Yuxuan Cao, Yu Chen, Yan Li

“…ResultsThe meta-analysis identified a significant positive association between parental technoference and child problematic media use (r=0.296, 95% CI 0.259-0.331). Moderator analyses revealed that both parental technoference group (P<.001) and study design (P=.008) significantly influenced this relationship. …”
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The nonlinear association between lipoprotein(a) and major adverse cardiovascular events in acute coronary syndrome patients with three-vessel disease by Qianhui Li, Shuailei Xu, Junxian Shen, Fengnian Sun

“…The correlation between Lp(a) and MACE was evaluated using univariate and multivariate Cox regression analysis, subgroup analysis, sensitivity analysis, Kaplan-Meier survival curve, receiver operating characteristic curve (ROC), and restricted cubic spline plot (RCS). A total of 1504 patients were included, with a median follow-up time of 38 months. …”
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Association between vitamin D levels and preserved ratio impaired spirometry: an investigation of mediating roles of systemic inflammation and metabolic indicators by Tong Lin, Shanshan Huang, Fen Zhou, Xingkai Shen, Haiyan Mao

“…Nonlinear relationships were assessed using restricted cubic spline (RCS) models.ResultsThe PRISm group had lower median vitamin D levels and distinct inflammatory and metabolic profiles compared to the non-PRISm group. …”
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Inverse association between dietary flavonoid intake and nocturia in middle-aged and older adults from NHANES 2007–2010 by Yu Cai, Ying-Chao Liang, Xin-Yu Hu, Ling Li, De-Liang Liu, Shu-Fang Chu, Hui-Lin Li

“…Weighted multivariate logistic regression and stratified analysis were employed to evaluate the impact of dietary total flavonoid consumption on nocturia. Restricted cubic spline (RCS) was utilized to explore whether there is a non-linear association between total flavonoid intake and nocturia. …”
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Adult dietary patterns and their association with iodine nutrition levels and thyroid function: a cross-sectional study by Gulinaizeer Abuduwaili, Jia Huang, Yan Ma, Hongguang Sun

“…The dietary patterns were PCA1 (staple food pattern), PCA2 (fruit, vegetable and meat pattern), PCA3 (fish, shrimp and legume pattern) and PCA4 (dairy-based protein pattern). …”
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The adaptation process of a safety planning intervention to promote connectedness and reduce distress in Diné adolescents and adults during the COVID-19 pandemic by Joshuaa Dominic Allison-Burbank, Vanessa Begaye, Kyann Dedman-Cisco, Lisa Jim, Shannon Archuleta, Renae Begay, Lacey Howe, Emily E. Haroz

“…In the Spring of 2020, the COVID-19 virus crept into Tribal Nations across the United States and exacerbated significant health-related and educational inequities. …”
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Workplace and social support, treatment satisfaction, and their impact on quality of life in Swedish women with multiple sclerosis: a cross-sectional survey study by Emilie Friberg, Katharina Fink, Alejandra Machado, Elin Wredendal

“…In contrast, higher HRQoL (OR=1.033; CI=1.015 to 1.052) was only significant when receiving simultaneous support from all three support dimensions.Conclusion Clinical factors and support from work and social support are the strongest contributors to HRQoL in working women with MS. …”
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Association of dietary niacin intake with osteoporosis in the postmenopausal women in the US: NHANES 2007–2018 by Li Li, Wankun Liang, Bing Deng, Yue Jiang, Xiaomin Huang, Yanlin Zhang, Tianrui Lu, Lu Wang, Yunxiang Xu, Guizhen Chen

“…Multivariate logistic regression models were constructed to determine the association between dietary niacin intake and the incidence of osteoporosis. Restricted cubic splines were employed to further assess the linearity and explore the shape of the dose-response associations. …”
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Prognostic value of neutrophil-to-lymphocyte ratio dynamics in patients with septic acute kidney injury: a cohort study by Wei Wei, Caihong Liu, Guojiao Song, Letian Yang, Jian Li, Bo Wang, Ting Yin, Yingying Yang, Liang Ma, Ling Zhang, Ping Fu, Yuliang Zhao

“…After adjustment for potential confounders, high ΔNLR remained an independent predictor of 90-d mortality (HR = 2.80; 95% CI = 1.74–4.49, p < 0.001). Furthermore, ΔNLR had the highest AUROC for 90-d mortality (0.685) among the various biomarkers and exhibited an improved NRI (0.314) and IDI (0.027) when incorporated with PCT and CRP. …”
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Association between glyphosate exposure and cardiovascular health using “Life’s Essential 8” metrics in US adults by Yuankang Zhu, Zhenlin Yang, Yuhao Chen, Lingzi Qian, Changning Hao, Liangshi Hao, Boshen Yang, Junli Duan

“…The association between natural logarithm (ln)-transformed glyphosate exposure in urine and CVH was examined using weighted linear regression and restricted cubic spline (RCS) models. Mediation analysis was used to determine potential mediators correlated with glyphosate and CVH. …”
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Prediction of major adverse cardiovascular events following ST-segment elevation myocardial infarction using cardiac obesity marker—epicardial adipose tissue mass index: a prospect... by Zeyan Liu, Jinbo Wang, Yanfang Yang, Jinglin Cheng, Min Yang, Ye Zhang

“…Cox multivariate regression analysis indicated that EAMI was independently associated with MACE (HR = 2.349, 95% CI 1.770–3.177, P &lt; 0.001). Restricted cubic spline (RCS) analysis suggested a positive dose-response relationship between EAMI and MACE (P for nonlinearity = 0.87). …”
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Poor control of pain increases the risk of depression: a cross-sectional study by Junjian Zeng, Junjian Zeng, Zhiqiang Liao, Zhiqiang Liao, Aiqing Lin, Aiqing Lin, Yu Zou, Yu Zou, Yixun Chen, Yixun Chen, Zhonghua Liu, Zhonghua Liu, Zhidong Zhou, Zhidong Zhou

“…Weighted univariate, multivariate logistic regression analysis, sensitivity analysis, and restricted cubic spline (RCS) analysis were used to examine the relationship between pain duration and the risk of depression. …”
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Serum Growth Differentiation Factor 15 is Negatively Associated with Leukocyte Telomere Length by Jie Yu, Yiwen Liu, Huabing Zhang, Fan Ping, Wei Li, Lingling Xu, Yuxiu Li

“…Multivariate linear regression and restricted cubic spline diagram were used for statistical analysis. …”
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Association of the Monocyte to High-Density Lipoprotein Cholesterol Ratio and Neutrophil to High-Density Lipoprotein Cholesterol Ratio With the Severity of New-Onset Coronary Arter... by Shu H, Han S, Qiu W, Li J, Zhang X, Su H, Wu H, Zhao G, Li Q

“…In the fully adjusted model, an increase in MHR was significantly associated with an increased odds ratio (OR) for CAD (OR=4.29, 95% CI 2.72– 6.78, P< 0.001). Sensitivity analysis revealed a consistent trend (P for trend< 0.05). …”
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Higher levels of oxidative balance score linked to lower risk of gallstones: findings from the 2017–2020 National Health and Nutrition Examination Survey by Ting Xiong, Ting Xiong, Ting Xiong, Zhonghuo Chen, Zhonghuo Chen, Zhonghuo Chen, Jianwei Yi, Jianwei Yi, Jianwei Yi, Taozhi Yu, Taozhi Yu, Taozhi Yu, Kai Wang, Kai Wang, Kai Wang, Kai Wang

“…Weighted logistic regression models were applied to examine the association between OBS and the prevalence of gallstones, complemented by subgroup and sensitivity analyses. Restricted cubic spline (RCS) was used to investigate the nonlinear association between OBS and the prevalence of gallstones.ResultsA total of 5,382 participants were included, among whom 592 reported a history of gallstones. …”
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Doctors taking bribes from pharmaceutical companies is common and not substantially reduced by an educational intervention: a pragmatic randomised controlled trial in Pakistan by Afifah Rahman-Shepherd, Johanna Hanefeld, Mishal Khan, Charles Opondo, Sameen Siddiqi, Virginia Wiseman, Iqbal Azam, Wafa Aftab, Sadia Shakoor, Amna Rehana Siddiqui, Rumina Hasan, Zafar Mirza, Muhammad Naveed Noor, Sabeen Sharif Khan, Nina van der Mark, Afshan Khurshid Isani, Ahson Q Siddiqi, Faisal Ziauddin, Faiza Bhutto, Natasha Ali, Robyna Irshad Khan, Syed Ahmed Raza Kazmi, Zainab Hasan

“…After adjusting for doctors’ age, sex and clinic district, there was no evidence of the intervention’s impact on the primary outcome (OR 0.70 [95% CI 0.40 to 1.20], p=0.192).Conclusions This first study to covertly assess deal-making between doctors and pharmaceutical company representatives demonstrated that the practice is strikingly widespread in the study setting and suggested that substantial reductions are unlikely to be achieved by educational interventions alone. …”
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Prevalence and factors associated with severe fatigue 2 years into the COVID-19 pandemic: a cross-sectional population-based study in Geneva, Switzerland by Silvia Stringhini, Idris Guessous, C Martinez, A Flahault, S Hurst, N Vuilleumier, L Kaiser, K M Posfay-Barbe, O Zimmermann, S Stringhini, A Uppal, P Schaller, J Berthelot, D Pittet, H Baysson, Hélène Baysson, S Yerly, E Lorthe, Mayssam Nehme, Nick Pullen, María-Eugenia Zaballa, A Bal, Clément Romain Hugo Graindorge, Stephanie Schrempft, I Arm-Vernez, A S Azman, D Bachmann, J-F Balavoine, R P Barbe, A R Bouhet, G Bryand-Rumley, F Chappuis, P Collombet, S Coudurier-Boeuf, D S Courvoisier, C de Mestral, P D’ippolito, R Dubos, R Dumont, N El Merjani, N Francioli, C Graindorge, I Guessous, S Harnal, G Kathari, O Kherad, J Lamour, P Lescuyer, A G L’Huillier, A J Loizeau, S Mechoullam, L Metral-Boffod, M Nehme, N Noël, F Pennacchio, J Perez-Saez, G Poulain, C Pugin, N Pullen, V Richard, D Rochat, S Rouzinov, K Samir, H S Ramirez, E Satin, S Schrempft, C Semaani, S Testini, D Urrutia-Rivas, C Verolet, P Vetter, J Villers, G Violot, A Wisniak, M-E Zaballa

“…Objectives This study aims (1) to assess the prevalence of severe fatigue among the general population of Geneva, 2 years into the COVID-19 pandemic and (2) to identify pandemic and non-pandemic factors associated with severe fatigue.Design Cross-sectional population-based survey conducted in Spring 2022.Setting General adult population of Geneva, Switzerland.Participants 6870 adult participants, randomly selected from the general population, included in the Specchio-COVID-19 cohort study, were invited to answer an online health survey.Outcome and cofactor measure Prevalence of severe fatigue was measured by the Chalder Fatigue Questionnaire with a cut-off score≥4 out of 11. …”
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Prevalence of chronic kidney disease among Chinese adults with diabetes: a nationwide population-based cross-sectional studyResearch in context by Weiping Jia, Rong Yu, Limin Wang, Dalong Zhu, Lixin Guo, Jianping Weng, Hong Li, Mei Zhang, Xiaoqi Ye, Zhiguang Zhou, Dajin Zou, Qiuhe Ji, Xiaohui Guo, Yinan Zhang, Dong Lang, Jiarui Wu, Jing Wu, Xuhong Hou, Xiaohui Guo, Kai Wu, Liming Chen, Demin Liu, Guangyao Song, Linyi Shu, Jing Yang, Yan Wang, Dongmei Li, Qiansha Guo, Ling Li, Na Wu, Yadong Sun, Huifang Cheng, Hongyu Kuang, Huijuan Zhang, Weiping Jia, Xuhong Hou, Dalong Zhu, Jian Zhu, Hong Li, Fenping Zheng, Qiu Zhang, Honglin Hu, Gang Chen, Xingquan Yang, Xiaoyang Lai, Jianping Liu, Li Chen, Ming Dong, Zhigang Zhao, Jian Liu, Guangda Xiang, Junxia Zhang, Zhiguang Zhou, Jian Peng, Jianping Weng, Longyi Zeng, Yuzhen Liang, Guoqiao Li, Kaining Chen, Leweihua Lin, Qifu Li, Qingfeng Cheng, Xingwu Ran, Dawei Chen, Hong Li, Xin Nian, Lihui Yang, Shuyou Meng, Jing Xu, Junhong Long, Jing Liu, Qi Zhang, Qingxiang Dai, Xiaomin Xie, Guirong Bai, Jun Li, Tao Li, Zhong Dong, Tao Zhang, Sijia Liu, Yong Yang, Kun Geng, Wenlong Zheng, Zhihong Li, Hui Wang, Zuojun Wu, Miao Wang, Jixin Sun, Jianwei Zhou, Jun An, Huaqing Shen, Yanfang Li, Zeping Ren, Xiuli Xue, Shaohui Jia, Yongping Zheng, Jiaoxia Li, Yonggang Qian, Ping Ma, Yan Su, Liang Cao, Xuyi Yang, Guowei Pan, Guangzhi Pan, Ling Jin, Quanfu Yu, Yunfei Liu, Yingli Zhu, Zhifang Cheng, Jun Yang, Chundi Jia, Qing Wang, Shichun Yan, Jingyang Huang, Yumei Chi, Li Zhang, Ruifa Pang, Yan Shi, Yan Lu, Yiling Wu, Jie Yu, Chunxiang Wu, Jinyi Zhou, Yunxia Wu, Ning Zhang, Jing Sun, Xiumei Tian, Jieming Zhong, Jingying Chen, Kaixu Xie, Lingjuan Fu, Xiaohua Wang, Yeji Chen, Ling Zeng, Zhenqian Cao, Maomin Yang, Biao Hu, Wenling Zhong, Qingyan Liu, Zhiding Huang, Qingbin Lai, Yuyu Zhang, Liping Zhu, Yujing Zhao, Wuming Tao, Yonghai Tu, Lin Zhou, Xiaolei Guo, Benzheng Chai, Liping Ding, Yuewei Zou, Dongzhi Li, Li Hua, Shixian Feng, Jianli Guo, Wanguang Liu, Qingxiang Li, Yunzhi Zheng, Minli Xu, Lan Zhang, Chunbo Li, Yingchao Wan, Chi Hu, Shengping Xu, Biyun Chen, Huilin Liu, Xiaojia Bian, Wenwei Chen, Honghua Li, Yanjun Xu, Fan Weng, Hong Wu, Weijin Zhang, Liankai Zhu, Jun Meng, Jin Yang, Yongsong Zeng, Gaoke Zhai, Lingfeng Qin, Yi Lu, Zhenwang Fu, Shukuan Wu, Caigang Li, Na Wang, Lianfen Chen, Xianbin Ding, Qi Zhou, Yiling Xie, Rui Chen, Dongsheng Yang, Ying Deng, Youping Hu, Bo Huang, Ping Wang, Peng Cai, Changyan Peng, Xiaofang Chen, Ling Li, Liang Xiao, Chenglin Wang, Chaogang Tan, Daobin Chen, Min Chen, Mingfang Qin, Zhaomin Lei, Jianzhi Qiu, Wei Yu, Yunfei Li, Guoxia Bai, Ying Wang, Lin Qiu, Ning Wang, Xudong Zhao, Ani Yan, Jianfei Liu, Tingcai Wang, Kaihua Hao, Zaihong Zhang, Zhanqi Xian, Tenghuan Ma, Zhihua Xu, Yi Yang, Hongli Wang, Rong Li, Zhonggang Zhao, Caixia Fan, Purhati, Hongjun Xu, Liping Gao

“…Findings: The weighted prevalence rates (95% CI) of CKD, albuminuria, and decreased eGFR were 32.6% (31.3%–33.8%), 30.8% (29.6%–32.1%), and 5.5% (5.1%–5.9%), respectively. …”
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Substituting time spent in physical activity and sedentary time and its association with cardiovascular disease among northwest Chinese adults by Yutong Wang, Peiying Yang, Huimeng Liu, Suixia Cao, Jingchun Liu, Yating Huo, Kun Xu, Binyan Zhang, Mengchun Wang, Qian Huang, Chunlai Yang, Lingxia Zeng, Shaonong Dang, Baibing Mi

“…Logistic regression models analyzed the association of PA and leisure-time sedentary time with CVD prevalence individually and jointly. Restricted cubic spline analyses assessed dose-response relationships. …”
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