Browsing by Author "Wang, Mei"

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    BMI, leisure-time physical activity, and physical fitness in adults in China: results from a series of national surveys, 2000–14
    (Elsevier, 2016-06) Tian, Ye; Jiang, Chongmin; Wang, Mei; Cai, Rui; Zhang, Yanfeng; He, Zihong; Wang, Huan; Wu, Dongming; Wang, Fubaihui; Tang, Qiang; Yang, Yang; Zhao, Jin; Lv, Shaojun; Zhou, Weihai; Yu, Bo; Lan, Jiang; Yang, Xinping; Zhang, Linxia; Tian, Hui; Gu, Zhuangzhuang; Song, Yiqing; Huang, Tianyi; McNaughton, Lars R.; Department of Epidemiology, Richard M. Fairbanks School of Public Health
    Background Obesity, physical inactivity, and reduced physical fitness contribute to the rising burden of chronic diseases in China. We investigated these factors in Chinese adults over a 14-year period (2000–14) using data from randomised national surveys. Methods We did four national surveys in 2000, 2005, 2010, and 2014 among Chinese adults aged 20–59 years. We used BMI to assess underweight (<18·5 kg/m2), overweight (≥23·0 to <27·5 kg/m2), and obesity (≥27·5 kg/m2). Central obesity was defined as a waist circumference greater than 90 cm in men and greater than 85 cm in women. We assessed leisure-time physical activity (LTPA) by whether or not participants had completed the recommended minimum 150 min of moderate or 75 min of vigorous exercise per week. Indices for assessment of physical fitness were forced vital capacity, resting heart rate, hand grip strength, sit and reach distance, and time standing on one leg. Findings 151 656 (78%) of 193 440 adults responded to the survey in 2000, 163 386 (84%) in 2005, 154 931 (80%) in 2010, and 146 703 (76%) in 2014. The prevalence of obesity increased from 8·6% in 2000, to 10·3% in 2005, 12·2% in 2010, and 12·9% in 2014 (estimated increase 0·32% per year, 95% CI 0·30–0·33; p<0·0001). The equivalent estimates were 37·4%, 39·2%, 40·7%, and 41·2% for overweight (estimated increase 0·27% per year, 95% CI 0·25–0·30; p<0·0001) and 13·9%, 18·3%, 22·1%, and 24·9% for central obesity (estimated increase 0·78% per year, 0·76–0·80; p<0·0001). The prevalence of overweight, obesity, and central obesity increased with age (all p<0·0001) and was higher in men than in women (all p<0·0001). We noted a simultaneous decrease in the prevalence of underweight (estimated decrease of 0·06% per year, 95% CI 0·04–0·07; p<0·0001). The proportion of adults meeting the minimum LTPA recommendation increased over time (17·2% in 2000, 18·1% in 2005, and 22·8% in 2014), with the estimated prevalence change per year being 0·33% (95% CI 0·24–0·42; p<0·0001) for underweight people, 0·50% (0·47–0·53; p<0·0001) for normal-weight people, 0·37% (0·34–0·40; p<0·0001) for overweight people, and 0·06% (0·00–0·13; p=0·044) for obese people. We noted deteriorations over time in all measures of physical fitness in normal-weight adults (all p<0·0001), apart from resting heart rate (p=0·69). Interpretation Despite increased participation in LTPA, we noted increases in overweight or obesity and a decrease in physical fitness in Chinese adults. Continued nationwide interventions are needed to promote physical activity and other healthy lifestyle behaviours in China.
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    Characterizing clinical findings of Sjögren's Disease patients in community practices using matched electronic dental-health record data
    (Public Library of Science, 2023-07-31) Felix Gomez, Grace Gomez; Hugenberg, Steven T.; Zunt, Susan; Patel, Jay S.; Wang, Mei; Rajapuri, Anushri Singh; Lembcke, Lauren R.; Rajendran, Divya; Smith, Jonas C.; Cheriyan, Biju; Boyd, LaKeisha J.; Eckert, George J.; Grannis, Shaun J.; Srinivasan, Mythily; Zero, Domenick T.; Thyvalikakath, Thankam P.; Cariology, Operative Dentistry and Dental Public Health, School of Dentistry
    Established classifications exist to confirm Sjögren's Disease (SD) (previously referred as Sjögren's Syndrome) and recruit patients for research. However, no established classification exists for diagnosis in clinical settings causing delayed diagnosis. SD patients experience a huge dental disease burden impairing their quality of life. This study established criteria to characterize Indiana University School of Dentistry (IUSD) patients' SD based on symptoms and signs in the electronic health record (EHR) data available through the state-wide Indiana health information exchange (IHIE). Association between SD diagnosis, and comorbidities including other autoimmune conditions, and documentation of SD diagnosis in electronic dental record (EDR) were also determined. The IUSD patients' EDR were linked with their EHR data in the IHIE and queried for SD diagnostic ICD9/10 codes. The resulting cohorts' EHR clinical findings were characterized and classified using diagnostic criteria based on clinical experts' recommendations. Descriptive statistics were performed, and Chi-square tests determined the association between the different SD presentations and comorbidities including other autoimmune conditions. Eighty-three percent of IUSD patients had an EHR of which 377 patients had a SD diagnosis. They were characterized as positive (24%), uncertain (20%) and negative (56%) based on EHR clinical findings. Dry eyes and mouth were reported for 51% and positive Anti-Ro/SSA antibodies and anti-nuclear antibody (ANA) for 17% of this study cohort. One comorbidity was present in 98% and other autoimmune condition/s were present in 53% respectively. Significant differences were observed between the three SD clinical characteristics/classifications and certain medical and autoimmune conditions (p<0.05). Sixty-nine percent of patients' EDR did not mention SD, highlighting the huge gap in reporting SD during dental care. This study of SD patients diagnosed in community practices characterized three different SD clinical presentations, which can be used to generate SD study cohorts for longitudinal studies using EHR data. The results emphasize the heterogenous SD clinical presentations and the need for further research to diagnose SD early in community practice settings where most people seek care.
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    COVID-19 Epidemic Peer Support and Crisis Intervention Via Social Media
    (Springer Nature, 2020-05-06) Cheng, Pu; Xia, Guohua; Pang, Peng; Wu, Bo; Jiang, Wei; Li, Yong-Tong; Wang, Mei; Ling, Qi; Chang, Xiaoying; Wang, Jinghan; Dai, Xiaocheng; Lin, Xiaojin; Bi, Xiaoting; Psychiatry, School of Medicine
    This article describes a peer support project developed and carried out by a group of experienced mental health professionals, organized to offer peer psychological support from overseas to healthcare professionals on the frontline of the COVID-19 outbreak in Wuhan, China. This pandemic extremely challenged the existing health care systems and caused severe mental distress to frontline healthcare workers. The authors describe the infrastructure of the team and a novel model of peer support and crisis intervention that utilized a popular social media application on smartphone. Such a model for intervention that can be used elsewhere in the face of current global pandemic, or future disaster response.
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    Longevity of dental restorations in Sjogren's disease patients using electronic dental and health record data
    (Springer Nature, 2024-02-07) Gomez, Grace Gomez Felix; Wang, Mei; Siddiqui, Zasim A.; Gonzalez, Theresa; Capin, Oriana R.; Willis, Lisa; Boyd, LaKeisha; Eckert, George J.; Zero, Domenick T.; Thyvalikakath, Thankam Paul; Dental Public Health and Dental Informatics, School of Dentistry
    Background: Decreased salivary secretion is not only a risk factor for carious lesions in Sjögren's disease (SD) but also an indicator of deterioration of teeth with every restorative replacement. This study determined the longevity of direct dental restorations placed in patients with SD using matched electronic dental record (EDR) and electronic health record (EHR) data. Methods: We conducted a retrospective cohort study using EDR and EHR data of Indiana University School of Dentistry patients who have a SD diagnosis in their EHR. Treatment history of patients during 15 years with SD (cases) and their matched controls with at least one direct dental restoration were retrieved from the EDR. Descriptive statistics summarized the study population characteristics. Cox regression models with random effects analyzed differences between cases and controls for time to direct restoration failure. Further the model explored the effect of covariates such as age, sex, race, dental insurance, medical insurance, medical diagnosis, medication use, preventive dental visits per year, and the number of tooth surfaces on time to restoration failure. Results: At least one completed direct restoration was present for 102 cases and 42 controls resulting in a cohort of 144 patients' EDR and EHR data. The cases were distributed as 21 positives, 57 negatives, and 24 uncertain cases based on clinical findings. The average age was 56, about 93% were females, 54% were White, 74% had no dental insurance, 61% had public medical insurance, < 1 preventive dental visit per year, 94% used medications and 93% had a medical diagnosis that potentially causes dry mouth within the overall study cohort. About 529 direct dental restorations were present in cases with SD and 140 restorations in corresponding controls. Hazard ratios of 2.99 (1.48-6.03; p = 0.002) and 3.30 (1.49-7.31, p-value: 0.003) showed significantly decreased time to restoration failure among cases and positive for SD cases compared to controls, respectively. Except for the number of tooth surfaces, no other covariates had a significant influence on the survival time. Conclusion: Considering the rapid failure of dental restorations, appropriate post-treatment assessment, management, and evaluation should be implemented while planning restorative dental procedures among cases with SD. Since survival time is decreased with an increase in the number of surfaces, guidelines for restorative procedures should be formulated specifically for patients with SD.
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    Prediction of Sjögren's disease diagnosis using matched electronic dental-health record data
    (Springer Nature, 2024-02-09) Mao, Jason; Gomez, Grace Gomez Felix; Wang, Mei; Xu, Huiping; Thyvalikakath, Thankam P.; Biostatistics and Health Data Science, Richard M. Fairbanks School of Public Health
    Background: Sjögren's disease (SD) is an autoimmune disease that is difficult to diagnose early due to its wide spectrum of clinical symptoms and overlap with other autoimmune diseases. SD potentially presents through early oral manifestations prior to showing symptoms of clinically significant dry eyes or dry mouth. We examined the feasibility of utilizing a linked electronic dental record (EDR) and electronic health record (EHR) dataset to identify factors that could be used to improve early diagnosis prediction of SD in a matched case-control study population. Methods: EHR data, including demographics, medical diagnoses, medication history, serological test history, and clinical notes, were retrieved from the Indiana Network for Patient Care database and dental procedure data were retrieved from the Indiana University School of Dentistry EDR. We examined EHR and EDR history in the three years prior to SD diagnosis for SD cases and the corresponding period in matched non-SD controls. Two conditional logistic regression (CLR) models were built using Least Absolute Shrinkage and Selection Operator regression. One used only EHR data and the other used both EHR and EDR data. The ability of these models to predict SD diagnosis was assessed using a concordance index designed for CLR. Results: We identified a sample population of 129 cases and 371 controls with linked EDR-EHR data. EHR factors associated with an increased risk of SD diagnosis were the usage of lubricating throat drugs with an odds ratio (OR) of 14.97 (2.70-83.06), dry mouth (OR = 6.19, 2.14-17.89), pain in joints (OR = 2.54, 1.34-4.76), tear film insufficiency (OR = 27.04, 5.37-136.), and rheumatoid factor testing (OR = 6.97, 1.94-25.12). The addition of EDR data slightly improved model concordance compared to the EHR only model (0.834 versus 0.811). Surgical dental procedures (OR = 2.33, 1.14-4.78) were found to be associated with an increased risk of SD diagnosis while dental diagnostic procedures (OR = 0.45, 0.20-1.01) were associated with decreased risk. Conclusion: Utilizing EDR data alongside EHR data has the potential to improve prediction models for SD. This could improve the early diagnosis of SD, which is beneficial to slowing or preventing complications of SD.