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Flórez KR, Hwang NS, Hernández M, Verdaguer S, Derose KP, de la Haye K. Vulnerability or Resiliency? A Two-Wave Panel Analysis of Social Network Factors Associated with Glycemic Levels among Mexican Immigrants in the Bronx, NYC, Before and During COVID-19. J Urban Health 2024; 101:218-228. [PMID: 38347274 PMCID: PMC10897069 DOI: 10.1007/s11524-023-00825-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/19/2023] [Indexed: 02/28/2024]
Abstract
Latinos have high rates of type 2 diabetes mellitus (T2DM) yet are characterized as having health-promoting social networks. The impacts of COVID-19 on personal networks were complex, especially in urban areas with high proportion of immigrants such as the Bronx in NYC. Our objective was to test the extent to which network characteristics increase vulnerability or resiliency for glycemic control based on data gathered from Mexican-origin Bronx dwellers. We used two-wave panel study analyzing self-reported personal social networks (n=30participants; 600network members) and HbA1c levels via dried blood spots in 2019, before the COVID-19 pandemic, and in 2021, a time after initial lockdowns and when the pandemic was still ravaging the community of study. Regression models adjusted for individual-level variables including sociodemographic and health indicators (i.e., physical health including COVID-19 and mental health). We found that an increase in the proportion of network members with diabetes predicted an increase in participant's HbA1c levels from 2019 to 2021 (β=0.044, p < 0.05). Also, a greater proportion of network members consuming "an American diet" in 2019 predicted a decrease in participant's HbA1c levels (β=-0.028, p < 0.01), while a greater proportion of network members that encouraged participants' health in 2019 predicted an increase in participant's HbA1c levels (β=0.033, p < 0.05). Our study sheds light on specific social network characteristics relevant to individual diabetes outcomes, including potential longitudinal mechanistic effects that played out at the peak of the COVID-19 crisis.
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Affiliation(s)
- Karen R Flórez
- Environmental, Occupational and Geospatial Sciences Department, City University of New York (CUNY), CUNY Graduate School of Public Health and Heath Policy, 55 West 125th Street, New York, NY, 10027, USA.
- Center for Systems and Community Design, New York, NY, USA.
| | - Neil S Hwang
- Business and Information Systems Department, City University of New York, Bronx Community College, Bronx, NY, USA
| | - Maria Hernández
- El Instituto: Institute of Latina/o, Caribbean and Latin America Studies of College of Liberal Arts and Science, University of Connecticut, Storrs, CT, USA
| | - Sandra Verdaguer
- Department of Community Health and Social Sciences, CUNY Graduate School of Public Health and Health Policy, New York, NY, USA
| | - Kathryn P Derose
- Department of Health Promotion and Policy, University of Massachusetts Amherst, Amherst, MA, USA
- RAND Corporation, Santa Monica, CA, USA
| | - Kayla de la Haye
- Center for Economic and Social Research, University of Southern California, Los Angeles, CA, USA
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Yan S, Wang D, Jia Y. Comparison of insulin resistance-associated parameters in US adults: a cross-sectional study. Hormones (Athens) 2023; 22:331-341. [PMID: 36972006 DOI: 10.1007/s42000-023-00448-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 03/15/2023] [Indexed: 03/29/2023]
Abstract
BACKGROUND Triglyceride-glucose (TyG) is correlated with cardiovascular events caused by insulin resistance (IR). The aim of this study was to analyze the relationship between TyG and its related indicators and IR among US adults from 2007 to 2018 in the National Health and Nutrition Examination Survey (NHANES) database so as to identify more accurate and reliable predictors of IR. METHODS This is a cross-sectional study including 9884 participants (2255 with IR and 7629 without IR). TyG, TyG-body mass index (TyG-BMI), TyG waist circumference (TyG-WC), and TyG waist-to-height ratio (TyG-WtHR) were measured using standard formulas. RESULTS TyG, TyG-BMI, TyG-WC, and TyG-WtHR were significantly correlated with IR in the general population, with TyG-WC being the most strongly correlated, with an odds ratio of 8.00 (95% confidence interval 5.05-12.67) for the fourth quartile of TyG-WC compared with the first quartile in the adjusted model. Receiver operating characteristic (ROC) analysis of the participants showed that the maximum area under the TyG-WC curve was 0.8491, which was significantly higher than that of the other three indicators. Moreover, this trend was stable both among people of both genders and among patients with coronary heart disease (CHD), hypertension, and diabetes. CONCLUSIONS The present study confirms that the TyG-WC index is more successful than TyG alone in identifying IR. In addition, our findings demonstrate that TyG-WC is a simple and effective marker for screening the general US adult population and those with CHD, hypertension, and diabetes and can be effectively used in clinical practice.
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Affiliation(s)
- Shaoyi Yan
- Department of Cardiovascular Medicine, First Hospital of Shanxi Medical University, Taiyuan, China.
| | - Di Wang
- Department of Cardiovascular Medicine, First Hospital of Shanxi Medical University, Taiyuan, China
| | - Yongping Jia
- Department of Cardiovascular Medicine, First Hospital of Shanxi Medical University, Taiyuan, China.
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Xuan W, Liu D, Zhong J, Luo H, Zhang X. Impacts of Triglyceride Glucose-Waist to Height Ratio on Diabetes Incidence: A Secondary Analysis of A Population-Based Longitudinal Data. Front Endocrinol (Lausanne) 2022; 13:949831. [PMID: 35937805 PMCID: PMC9354460 DOI: 10.3389/fendo.2022.949831] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2022] [Accepted: 06/24/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The anthropometric indices (body mass index [BMI], waist circumference [WC] and waist-to-height ratio [WHtR]), triglyceride-glucose (TyG) index and TyG-related indicators (TyG-WHtR, TyG-BMI, TyG-WC) have been well documented to be highly correlated with insulin resistance (IR) and type 2 diabetes mellitus (T2DM). However, it was not immediately obvious which indicator would be optimal for screening people at risk of T2DM. Hence, this study intended to compare the predictive effects of the aforementioned markers on T2DM and to investigate the relation between baseline TyG-WHtR and incident T2DM. METHODS This longitudinal study included 15464 study population who were involved in the NAGALA (NAfld in the Gifu Area Longitudinal Analysis) study from 2004 to 2015. The TyG index was defined as ln [FPG (mg/dL) ×fasting TG (mg/dL)/2]. And the TyG-WHtR was calculated as TyG index ×WHtR. We divided the participants into four groups according to the TyG-WHtR quartiles. The primary endpoint was the incidence of diabetes. RESULTS After a median follow-up of 5.4 years, 2.4% (373/15464) participants developed diabetes. The incidence of diabetes increased with ascending TyG-WHtR quartiles (P for trend<0.001). Multivariable Cox proportional hazard analysis showed that a one-unit increase in TyG-WHtR was independently correlated with a 2.714-fold higher risk of diabetes [hazard ratio (HR) 2.714, 95% confidence interval (CI) 1.942-3.793; P<0.001). Stratification analysis revealed that increased TyG-WHtR (per 1-unit) was consistently correlated with diabetes incidence in different subgroups. Moreover, TyG-WHtR outperformed the other parameters by presenting the biggest area under the ROC curve (AUC) in men (AUC 0.746, 95% CI 0.716-0.776, P<0.001). However, all pairwise comparisons of AUC between TyG-WHtR and other indicators were not statistically different except TyG-WHtR vs. WHtR in women. CONCLUSIONS A high TyG-WHtR is an important predictor of the increased cumulative risk of diabetes development. TyG-WHtR outperforms TyG, WHtR, TyG-WC and TyG-BMI in screening individuals who are susceptible to T2DM, especially in men.
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Affiliation(s)
- Wenting Xuan
- Department of Endocrinology, Affiliated Dongguan Hospital, Southern Medical University (Dongguan People’s Hospital), Dongguan, China
| | - Dixing Liu
- Department of Endocrinology, Affiliated Dongguan Hospital, Southern Medical University (Dongguan People’s Hospital), Dongguan, China
| | - Jiana Zhong
- Department of Endocrinology, The Dongguan Affiliated Hospital of Jinan University, Binhaiwan Central Hospital of Dongguan, Dongguan, China
| | - Huijin Luo
- Department of Endocrinology, Affiliated Dongguan Hospital, Southern Medical University (Dongguan People’s Hospital), Dongguan, China
| | - Xiuwei Zhang
- Department of Endocrinology, Affiliated Dongguan Hospital, Southern Medical University (Dongguan People’s Hospital), Dongguan, China
- *Correspondence: Xiuwei Zhang,
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Li X, Sun M, Yang Y, Yao N, Yan S, Wang L, Hu W, Guo R, Wang Y, Li B. Predictive Effect of Triglyceride Glucose-Related Parameters, Obesity Indices, and Lipid Ratios for Diabetes in a Chinese Population: A Prospective Cohort Study. Front Endocrinol (Lausanne) 2022; 13:862919. [PMID: 35432185 PMCID: PMC9007200 DOI: 10.3389/fendo.2022.862919] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 02/25/2022] [Indexed: 11/16/2022] Open
Abstract
OBJECTIVE The purpose of this study was to evaluate the association between triglyceride glucose (TyG) index and new-onset diabetes under different glycemic states and to compare the predictive value of TyG-related parameters, obesity indices, and lipid ratios for new-onset diabetes. METHODS Data were collected from the China Health and Retirement Longitudinal Study (CHARLS), consisting of 6,258 participants aged ≥45 years. Participants were grouped according to their glycemic states. Cox proportional hazards models and restricted cubic spline regression were used to explore the association between TyG index and diabetes. Cox proportional hazard models were applied to confirm the predictive value of the optimal marker. Receiver operating characteristic (ROC) curves were used to compare the predictive value. RESULTS TyG index was positively correlated with the risk of diabetes (hazard ratio (HR), 1.75; 95% confidence interval (CI), 1.56-1.97), and the linear association existed (p < 0.001). The highest correlation with diabetes was visceral adiposity index (VAI) (HR, 2.04; 95% CI, 1.44-2.90) in normal fasting glucose (NFG) group and TyG-body mass index (TyG-BMI) (HR, 2.53; 95% CI, 1.97-3.26) in impaired fasting glucose (IFG) group. The largest area under curve (AUC) was observed in TyG-waist-to-height ratio (TyG-WHtR) in the NFG group (AUC, 0.613; 95% CI, 0.527-0.700), and TyG-BMI had the highest AUC in the IFG group (AUC, 0.643; 95% CI, 0.601-0.685). CONCLUSION The association between TyG index and new-onset diabetes was positive and linear. TyG-WHtR was a clinically effective marker for identifying the risks of diabetes in the NFG group and TyG-BMI was an effective marker to predict diabetes in the IFG group.
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Zhu L, Reychav I, McHaney R, Broda A, Tal Y, Manor O. Extension to 'combined SNA and LDA methods to understand adverse medical events': Doctor and nurse perspectives. INTERNATIONAL JOURNAL OF RISK & SAFETY IN MEDICINE 2021; 31:221-246. [PMID: 32538872 DOI: 10.3233/jrs-190031] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
BACKGROUND Physicians and nurses are responsible for reporting medical adverse events. Each views these events through a different lens subject to their role-based perceptions and barriers. Physicians typically engage with diagnosis and treatment while nurses primarily care for patients' daily lives and mental well-being. This results in reporting and describing medical adverse events differently. OBJECTIVE We aimed to compare adverse medical event reports generated by physicians and nurses to better understand the differences and similarities in perspective as well as the nature of adverse medical events using social network analysis (SNA) and latent Dirichlet allocation (LDA). METHODS The current study examined data from the Maccabi Healthcare Community. Approximately 17,868 records were collected from 2000 to 2017 regarding medical adverse events. Data analysis used SNA and LDA to perform descriptive text analytics and understand underlying phenomenon. RESULTS A significant difference in harm levels reported by physicians and nurses was discovered. Shared topic keyword lists broken down by physicians and nurses were derived. Overall, communication, lack of attention, and information transfer issues were reported in medical adverse events data. Specialized keywords, more likely to be used by a physician were determined as: repeated prescriptions, diabetes complications, and x-ray examinations. For nurses, the most common special adverse event behavior keywords were vaccine problem, certificates of fitness, death and incapacity, and abnormal dosage. CONCLUSIONS Communication and inattentiveness appeared most frequently in medical adverse events reports regardless of whether doctors or nurses did the reporting. Findings suggest feedback and information sharing processes could be implemented as a step toward alleviating many issues. Institutional management, healthcare managers and government officials should take actions to decrease medical adverse events, many of which may be preventable.
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Affiliation(s)
- Lin Zhu
- Industrial Engineering & Management Department, Ariel University, Ariel, Israel
| | - Iris Reychav
- Industrial Engineering & Management Department, Ariel University, Ariel, Israel
| | - Roger McHaney
- Daniel D. Burke Chair for Exceptional Faculty, Management Information Systems, Kansas State University, Manhattan, KS, USA
| | - Arik Broda
- Risk Management Department, Maccabi Healthcare Services, Israel
| | - Yossi Tal
- Risk Management Department, Maccabi Healthcare Services, Israel
| | - Orly Manor
- Risk Management Department, Maccabi Healthcare Services, Israel
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Schram MT, Assendelft WJJ, van Tilburg TG, Dukers-Muijrers NHTM. Social networks and type 2 diabetes: a narrative review. Diabetologia 2021; 64:1905-1916. [PMID: 34189591 PMCID: PMC8241411 DOI: 10.1007/s00125-021-05496-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 04/09/2021] [Indexed: 12/24/2022]
Abstract
It has been known for decades that social networks are causally related to disease and mortality risk. However, this field of research and its potential for implementation into diabetes care is still in its infancy. In this narrative review, we aim to address the state-of-the-art of social network research in type 2 diabetes prevention and care. Despite the diverse nature and heterogeneity of social network assessments, we can draw valuable lessons from the available studies. First, the structural network variable 'living alone' and the functional network variable 'lack of social support' have been associated with increased type 2 diabetes risk. The latter association may be modified by lifestyle risk factors, such as obesity, low level of physical activity and unhealthy diet. Second, smaller network size and less social support is associated with increased risk of diabetes complications, particularly chronic kidney disease and CHD. Third, current evidence shows a beneficial impact of social support on diabetes self-management. In addition, social support interventions were found to have a small, favourable effect on HbA1c values in the short-term. However, harmonisation and more detailed assessment of social network measurements are needed to utilise social network characteristics for more effective prevention and disease management in type 2 diabetes.
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Affiliation(s)
- Miranda T Schram
- Department of Internal Medicine, Heart and Vascular Center, Maastricht University Medical Center+, School for Cardiovascular Diseases (CARIM), Maastricht University, Maastricht, the Netherlands.
| | - Willem J J Assendelft
- Department of Primary and Community Care, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Theo G van Tilburg
- Department of Sociology, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands
| | - Nicole H T M Dukers-Muijrers
- Department of Sexual Health, Infectious Diseases and Environmental Health, Public Health Service South Limburg, Heerlen, the Netherlands
- Department of Health Promotion, Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands
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de Oliveira CM, Pavani J, Liu C, de Oliveira Alvim R, Balcells M, Mourão-Junior CA, Krieger JE, da Costa Pereira A. Triglyceride glucose index as a tool to motivate early lifestyle modification in young adults at diabetes risk: The Baependi Heart Study. Prev Med Rep 2020; 20:101172. [PMID: 32874826 PMCID: PMC7452098 DOI: 10.1016/j.pmedr.2020.101172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Revised: 06/20/2020] [Accepted: 07/30/2020] [Indexed: 11/19/2022] Open
Abstract
Considering that the incidence of type 2 diabetes mellitus (T2DM) has been increasing especially in developing countries and becoming a global public health problem, this study aims to evaluate the association between triglyceride glucose index (TyG) - which is a mathematical product of the fasting blood glucose and triglyceride levels - and incident T2DM in an adult sample in the Baependi Heart Study (BHS). The data were from the BHS cohort consisting of two periods: cycle 1 (2005-2006; n = 1712; 119 families) and cycle 2 (2010-2013; n = 3017; 127 families). A total of 1121 individuals (both sexes, 18-100 years) were selected if they were assessed in both cycles and not diagnosed with T2DM at baseline (cycle 1). Our findings showed that a participant's risk of developing T2DM increased almost 10 times for a one-unit increase in the TyG (odds ratio OR = 10.17, 95% CI, 7.51-13.93). The association when stratified by age was OR = 28.13 [95% CI, 14.03-56.41] for young adults, meaning that the risk of developing T2DM increased more than 28 times for a one-unit increase in the TyG. For the other groups, young middle-aged adults, old middle-aged adults, and seniors, we found OR = 4.84 [95% CI, 2.91-8.06], OR = 28.73 [95% CI, 10.63-77.65, and OR = 9.88 [95% CI, 3.16-30.90], respectively. A higher TyG implies a significant increase in the risk of developing T2DM, which could be an important screening tool to target early lifestyle intervention in Brazil.
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Key Words
- BMI, body mass index
- Baependi Heart Study cohort
- Brazil
- CI, confidence interval
- DBP, diastolic blood pressure
- FPG, fasting plasma glucose
- Glucose
- HDL, high-density lipoprotein
- LDL, low-density lipoprotein
- OR, odds ratio
- SBP, systolic blood pressure
- SD, standard deviation
- T2DM, type 2 diabetes mellitus
- Triglyceride glucose index
- Triglycerides
- TyG, triglyceride-glucose index
- Type 2 diabetes mellitus
- WC, waist circumference
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Affiliation(s)
- Camila Maciel de Oliveira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, Brazil
- Department of Integrative Medicine, Federal University of Paraná, Brazil
- Global CoCreation Lab, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, USA
| | - Jessica Pavani
- Department of Statistics, Pontificia Universidad Católica de Chile, Chile
| | - Chunyu Liu
- Framingham Heart Study, Framingham, USA
- Department of Biostatistics, Boston University, USA
| | - Rafael de Oliveira Alvim
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, Brazil
- Department of Physiological Sciences, Federal University of Amazonas, Brazil
| | - Mercedes Balcells
- Global CoCreation Lab, Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, USA
- Bioengineering Department, Institut Quimic de Sarria, Ramon Llull Univ, Barcelona, Spain
| | | | - José Eduardo Krieger
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, Brazil
| | - Alexandre da Costa Pereira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (InCor), University of São Paulo Medical School, Brazil
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Shiffman D, Louie JZ, Devlin JJ, Rowland CM, Mora S. Concordance of Cardiovascular Risk Factors and Behaviors in a Multiethnic US Nationwide Cohort of Married Couples and Domestic Partners. JAMA Netw Open 2020; 3:e2022119. [PMID: 33104207 PMCID: PMC7588939 DOI: 10.1001/jamanetworkopen.2020.22119] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/29/2023] Open
Abstract
IMPORTANCE Married couples and domestic partners have been reported to share similar environmental exposures, adopt similar behavior patterns, and have similar transferable characteristics. However, the degree to which couples share similar levels of cardiovascular risk factors and behaviors is uncertain. OBJECTIVE To assess within-couple concordance of the American Heart Association-defined Life's Simple 7 (LS7). DESIGN, SETTING, AND PARTICIPANTS Cross-sectional study with a longitudinal substudy of employees and spouses (or domestic partners) who participated in an employer-sponsored health assessment program throughout the United States between October 2014 and December 2018. Data were analyzed from November 1, 2019, to August 4, 2020. EXPOSURES Having a spouse or domestic partner. MAIN OUTCOMES AND MEASURES The LS7 risk factors and behaviors (smoking status, body mass index, exercise, diet, total cholesterol, blood pressure, and fasting glucose) were assessed by questionnaires, examinations, and laboratory tests. LS7 categories were scored as 2 for ideal, 1 for intermediate, or 0 for poor and summed to generate a CV health score. RESULTS The study included 10 728 participants (5364 couples): 7% were African American, 11% Hispanic, 21% Asian, and 54% White (median [interquartile range] age, 50 [41-57] years for men and 47 [39-55] for women). For most couples, both members were in the ideal category or both were in a nonideal category. Concordance ranged from 53% (95% CI, 52%-54%) for cholesterol to 95% (95% CI, 94%-95%) for diet. For the CV health score, in 79% (95% CI, 78%-80%) of couples both members were in a nonideal category, which was associated mainly with unhealthy diet (94% [95% CI, 93%-94%] of couples) and inadequate exercise (53% [95% CI, 52%-55%] of couples). However, in most couples, both members were in the ideal category for smoking status (60% [95% CI, 59%-61%] of couples) and glucose (56% [95% CI, 55%-58%]). Except for total cholesterol, when 1 member of a couple was in the ideal category, the other member was likely also to be in the ideal category: the adjusted odds ratios for also being in the ideal category ranged from 1.3 (95% CI, 1.1-1.5; P ≤ .001) for blood pressure to 10.6 (95% CI, 7.4-15.3; P ≤ .001) for diet. Concordance differed by ethnicity, socioeconomic status, and geographic location. A 5-year longitudinal analysis of 2186 couples found modest changes in concordance of blood pressure (from 55% [95% CI, 53%-57%] to 59% [95% CI, 57%-61%]; P < .001 for trend) and fasting glucose (from 64% [95% CI, 62%-66%] to 59% [95% CI, 57%-61%]; P < .001 for trend) with no change in other factors. CONCLUSIONS AND RELEVANCE In this study, high concordance of nonideal behaviors was found within couples; behavioral modification programs may benefit both the targeted and the nontargeted member of a couple.
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Affiliation(s)
- Dov Shiffman
- Quest Diagnostics Nichols Institute, San Juan Capistrano, California
| | - Judy Z Louie
- Quest Diagnostics Nichols Institute, San Juan Capistrano, California
| | - James J Devlin
- Quest Diagnostics Nichols Institute, San Juan Capistrano, California
| | - Charles M Rowland
- Quest Diagnostics Nichols Institute, San Juan Capistrano, California
| | - Samia Mora
- Center for Lipid Metabolomics, Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
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Zhu L, Reychav I, McHaney R, Broda A, Tal Y, Manor O. Combined SNA and LDA methods to understand adverse medical events. INTERNATIONAL JOURNAL OF RISK & SAFETY IN MEDICINE 2020; 30:129-153. [PMID: 31476171 DOI: 10.3233/jrs-180052] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
OBJECTIVE To compare primary medical adverse event keywords from reporters (e.g. physicians and nurses) and harm level perspectives to explore the underlying behaviors of medical adverse events using social network analysis (SNA) and latent Dirichlet allocation (LDA) leading to process improvements. DESIGN Used SNA methods to explore primary keywords used to describe the medical adverse events reported by physicians and nurses. Used LDA methods to investigate topics used for various harm levels. Combined the SNA and LDA methods to discover common shared topic keywords to better understand underlying behaviors of physicians and nurses in different harm level medical adverse events. SETTING Maccabi Healthcare Community is the second largest healthcare organization in Israel. DATA 17,868 medical adverse event data records collected between 2000 and 2017. METHODS Big data analysis techniques using social network analysis (SNA) and latent Dirichlet allocation (LDA). RESULTS Shared topic keywords used by both physicians and nurses were determined. The study revealed that communication, information transfer, and inattentiveness were the most common problems reported in the medical adverse events data. CONCLUSIONS Communication and inattentiveness were the most common problems reported in medical adverse events regardless of healthcare professional reporting or harm levels. Findings suggested that an information-sharing and feedback mechanism should be implemented to eliminate preventable medical adverse events. Healthcare institutions managers and government officials should take targeted actions to decrease these preventable medical adverse events through quality improvement efforts.
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Affiliation(s)
- Lin Zhu
- Industrial Engineering & Management Department, Ariel University, Ariel, Israel
| | - Iris Reychav
- Industrial Engineering & Management Department, Ariel University, Ariel, Israel
| | - Roger McHaney
- Daniel D. Burke Chair for Exceptional Faculty, Professor and University Distinguished Teaching Scholar, Management Information Systems, Kansas State University, Manhattan, KS, USA
| | - Aric Broda
- Head of Risk Management Department, Maccabi Healthcare Services, Tel Aviv, Israel
| | - Yossi Tal
- Risk Management and Patient Safety Advisor, Maccabi Healthcare Services, Tel Aviv, Israel
| | - Orly Manor
- Deputy of Risk Management Department, Maccabi Healthcare Services, Tel Aviv, Israel
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Ramezankhani A, Guity K, Azizi F, Hadaegh F. Sex differences in the association between spousal metabolic risk factors with incidence of type 2 diabetes: a longitudinal study of the Iranian population. Biol Sex Differ 2019; 10:41. [PMID: 31439024 PMCID: PMC6704543 DOI: 10.1186/s13293-019-0255-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2019] [Accepted: 08/12/2019] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND We investigated whether metabolic risk factors in one spouse were associated with an excessive risk of type 2 diabetes in the other. METHODS The study cohort (1999-2018) included 1833 men and 1952 women, aged ≥ 20 years with information on both their own and their spouse's diabetes status and metabolic risk factors including body mass index (BMI), waist circumference, systolic and diastolic blood pressure, triglyceride to high-density lipoprotein cholesterol ratio, and type 2 diabetes. The associations between spousal metabolic risk factors and type 2 diabetes were estimated using Cox regression models adjusted for the three nested sets of covariates. RESULTS We found 714 (360 men and 354 women) incident cases of type 2 diabetes, after more than 15 years of follow-up. Among women, having a husband with diabetes was associated with a 38% (hazard ratio (HR) 1.38; 95% confidence interval (CI) 1.03, 1. 84) increased risk of type 2 diabetes, adjusted for age, socioeconomic status, individual's own value of the respective spousal exposure variable, family history of diabetes, and physical activity level. After further adjustment for the woman's own BMI level, the husband's diabetes was associated with 23% (HR 1.23; 0.92, 1.64) higher risk of type 2 diabetes in wives, values which did not reach statistical significance. No significant associations were found between spousal metabolic risk factors and incidence of type 2 diabetes among index men. CONCLUSION We found a sex-specific effect of spousal diabetes on the risk of type 2 diabetes. Having a husband with diabetes increased an individual's risk of type 2 diabetes. Our results might contribute to the early detection of individuals at high risk of developing type 2 diabetes, particularly, in women adversely affected by their partner's diabetes.
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Affiliation(s)
- Azra Ramezankhani
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Kamran Guity
- Cellular and Molecular Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fereidoun Azizi
- Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Farzad Hadaegh
- Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
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Appiah D, Schreiner PJ, Selvin E, Demerath EW, Pankow JS. Spousal diabetes status as a risk factor for incident type 2 diabetes: a prospective cohort study and meta-analysis. Acta Diabetol 2019; 56:619-629. [PMID: 30888538 PMCID: PMC6520150 DOI: 10.1007/s00592-019-01311-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/12/2019] [Accepted: 02/19/2019] [Indexed: 12/31/2022]
Abstract
AIMS It is unclear if the presence of type-2 diabetes in one spouse is associated with the development of diabetes in the other spouse. We studied the concordance of diabetes among black and white participants in the Atherosclerosis Risk in Communities (ARIC) study and summarized existing studies in a meta-analysis. METHODS We conducted a prospective cohort analysis of ARIC data from 8077 married men and women (mean age 54 years) without diabetes at baseline (1987-1989). Complementary log-log models that accounted for interval censoring was used to model the hazard ratio (HR) for the association of spousal diabetes status with the incidence of diabetes. For the meta-analysis, we searched MEDLINE and EMBASE for observational studies published through December 2018 that evaluated spousal concordance for diabetes. RESULTS During a median follow-up of 22 years, 2512 incident cases of diabetes were recorded. In models with adjustment for general adiposity, spousal cardiometabolic factors and other diabetes risk factors, adults who had a spouse with diabetes had elevated risk for incident diabetes compared to those without a spouse diagnosed with diabetes (HR 1.20, 95% confidence interval 1.02-1.41). This association did not differ by sex or race. Summarized estimates from the 17 studies (489,798 participants from 9 countries) included in the meta-analysis showed a positive association between spousal diabetes status and the development of diabetes (Pooled odds ratio 1.88, 95% CI 1.52-2.33). CONCLUSIONS Results from this large prospective biracial cohort and meta-analysis provides evidence that spouses of persons with diabetes are a high-risk group for diabetes.
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Affiliation(s)
- Duke Appiah
- Department of Public Health, Texas Tech University Health Sciences Center, 3601 4th Street, STOP 9430, Lubbock, TX, 79430, USA.
| | - Pamela J Schreiner
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - Elizabeth Selvin
- Department of Epidemiology, Welch Center for Prevention, Epidemiology and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ellen W Demerath
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
| | - James S Pankow
- Division of Epidemiology and Community Health, University of Minnesota, Minneapolis, MN, USA
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12
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Saint-Pierre C, Prieto F, Herskovic V, Sepulveda M. Team Collaboration Networks and Multidisciplinarity in Diabetes Care: Implications for Patient Outcomes. IEEE J Biomed Health Inform 2019; 24:319-329. [PMID: 30802876 DOI: 10.1109/jbhi.2019.2901427] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Prevalence of type 2 diabetes mellitus (T2DM) has almost doubled in recent decades and commonly presents comorbidities and complications. T2DM is a multisystemic disease, requiring multidisciplinary treatment provided by teams working in a coordinated and collaborative manner. The application of social network analysis techniques in the healthcare domain has allowed researchers to analyze interaction between professionals and their roles inside care teams. We studied whether the structure of care teams, modeled as complex social networks, is associated with patient progression. For this, we illustrate a data-driven methodology and use existing social network analysis metrics and metrics proposed for this research. We analyzed appointment and HbA1c blood test result data from patients treated at three primary health care centers, representing six different practices. Patients with good metabolic control during the analyzed period were treated by teams that were more interactive, collaborative and multidisciplinary, whereas patients with worsening or unstable metabolic control were treated by teams with less collaboration and more continuity breakdowns. Results from the proposed metrics were consistent with the previous literature and reveal relevant aspects of collaboration and multidisciplinarity.
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13
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Silverman-Retana O, Hulman A, Simmons RK, Nielsen J, Witte DR. Trajectories of obesity by spousal diabetes status in the English Longitudinal Study of Ageing. Diabet Med 2019; 36:105-109. [PMID: 30175888 DOI: 10.1111/dme.13811] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 08/29/2018] [Indexed: 12/18/2022]
Abstract
AIMS To examine whether the development of obesity with age was different for individuals with and without a spouse with diabetes. METHODS We analysed data from the English Longitudinal Study of Ageing [n= 7123, median (interquartile range) age 59 (53-67) years, 51% men], which included four clinical examination waves between 1998 and 2012. The main exposure was having a spouse with diabetes. Outcomes of interest were BMI and waist circumference. We fitted quadratic age-related trajectories using mixed-effect models stratified by sex and adjusted for education, smoking and the corresponding interaction terms between age and spousal diabetes status. RESULTS The baseline spousal diabetes prevalence was 4.4%. Men with a wife with diabetes experienced a steeper increase in BMI (1.6 kg/m2 ) between ages 50 to 65 years than men with a wife without diabetes (0.9 kg/m2 ). Women with a husband with diabetes had a similarly shaped BMI trajectory to women with a husband without diabetes, but their average BMI levels were higher between ages 55 and 65 years. Waist circumference trajectories showed a similar shape by spousal diabetes status for men and women, although individuals with a spouse with diabetes had higher waist circumference values throughout follow-up. CONCLUSIONS We found a positive association between spousal diabetes status and obesity development, which differed by sex among middle-aged individuals. Evidence from couple-based interventions is needed to test whether the latter could improve the current individual-focused public health strategies for obesity prevention.
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Affiliation(s)
- O Silverman-Retana
- Department of Public Health, Aarhus University, Aarhus
- Danish Diabetes Academy, Odense University Hospital, Odense
| | - A Hulman
- Department of Public Health, Aarhus University, Aarhus
- Danish Diabetes Academy, Odense University Hospital, Odense
| | - R K Simmons
- Healthcare Improvement Studies (THIS) Institute, University of Cambridge, Cambridge, UK
| | - J Nielsen
- Global Health Section, Department of Public Health, University of Copenhagen, Copenhagen, Denmark
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - D R Witte
- Department of Public Health, Aarhus University, Aarhus
- Danish Diabetes Academy, Odense University Hospital, Odense
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14
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Dhand A, White CC, Johnson C, Xia Z, De Jager PL. A scalable online tool for quantitative social network assessment reveals potentially modifiable social environmental risks. Nat Commun 2018; 9:3930. [PMID: 30258103 PMCID: PMC6158181 DOI: 10.1038/s41467-018-06408-6] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2018] [Accepted: 08/16/2018] [Indexed: 01/21/2023] Open
Abstract
Social networks are conduits of support, information, and health behavior flows. Existing measures of social networks used in clinical research are typically summative scales of social support or artificially truncated networks of ≤ 5 people. Here, we introduce a quantitative social network assessment tool on a secure open-source web platform, readily deployable in large-scale clinical studies. The tool maps an individual’s personal network, including specific persons, their relationships to each other, and their health habits. To demonstrate utility, we used the tool to measure the social networks of 1493 persons at risk of multiple sclerosis. We examined each person’s social network in relation to self-reported neurological disability. We found that the characteristics of persons surrounding the participant, such as negative health behaviors, were strongly associated with the individual’s functional disability. This quantitative assessment reveals the key elements of individuals’ social environments that could be targeted in clinical trials. An individual’s social network—their friends, family, and acquaintances—is important for their health, but existing tools for assessing social networks have limitations. Here, the authors introduce a quantitative social network assessment tool on a secure open-source web platform and show its utility in a nation-wide study.
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Affiliation(s)
- Amar Dhand
- Department of Neurology, Brigham and Women's Hospital, Harvard Medical School, Boston, 02115, MA, USA. .,Network Science Institute, Northeastern University, Boston, 02115, MA, USA.
| | - Charles C White
- Broad Institute, Program in Medical and Population Genetics, Cambridge, 02142, MA, USA
| | - Catherine Johnson
- Multiple Sclerosis Center and the Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, 10032, NY, USA
| | - Zongqi Xia
- Department of Neurology, University of Pittsburgh, Pittsburgh, 15260, PA, USA
| | - Philip L De Jager
- Broad Institute, Program in Medical and Population Genetics, Cambridge, 02142, MA, USA.,Multiple Sclerosis Center and the Center for Translational & Computational Neuroimmunology, Department of Neurology, Columbia University Medical Center, New York, 10032, NY, USA
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15
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Nielsen J, Hulman A, Witte DR. Spousal cardiometabolic risk factors and incidence of type 2 diabetes: a prospective analysis from the English Longitudinal Study of Ageing. Diabetologia 2018. [PMID: 29520580 DOI: 10.1007/s00125-018-4587-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
AIMS/HYPOTHESIS In the UK, more than one million people have undiagnosed diabetes and an additional five million are at high risk of developing the disease. Given that early identification of these people is key for both primary and secondary prevention, new screening approaches are needed. Since spouses resemble each other in cardiometabolic risk factors related to type 2 diabetes, we aimed to investigate whether diabetes and cardiometabolic risk factors in one spouse can be used as an indicator of incident type 2 diabetes in the other spouse. METHODS We analysed data from 3649 men and 3478 women from the English Longitudinal Study of Ageing with information on their own and their spouse's diabetes status and cardiometabolic risk factors. We modelled incidence rates and incidence rate ratios with Poisson regression, using spousal diabetes status or cardiometabolic risk factors (i.e. BMI, waist circumference, systolic and diastolic BP, HDL- and LDL-cholesterol and triacylglycerols) as exposures and type 2 diabetes incidence in the index individual as the outcome. Models were adjusted for two nested sets of covariates. RESULTS Spousal BMI and waist circumference were associated with incident type 2 diabetes, but with different patterns for men and women. A man's risk of type 2 diabetes increased more steeply with his wife's obesity level, and the association remained statistically significant even after adjustment for the man's own obesity level. Having a wife with a 5 kg/m2 higher BMI (30 kg/m2 vs 25 kg/m2) was associated with a 21% (95% CI 11%, 33%) increased risk of type 2 diabetes. In contrast, the association between incident type 2 diabetes in a woman and her husband's BMI was attenuated after adjusting for the woman's own obesity level. Findings for waist circumference were similar to those for BMI. Regarding other risk factors, we found a statistically significant association only between the risk of type 2 diabetes in women and their husbands' triacylglycerol levels. CONCLUSIONS/INTERPRETATION The main finding of this study is the sex-specific effect of spousal obesity on the risk of type 2 diabetes. Having an obese spouse increases an individual's risk of type 2 diabetes over and above the effect of the individual's own obesity level among men, but not among women. Our results suggest that a couples-focused approach may be beneficial for the early detection of type 2 diabetes and individuals at high risk of developing type 2 diabetes, especially in men, who are less likely than women to attend health checks. DATA AVAILABILITY Data were accessed via the UK Data Service under the data-sharing agreement no. 91400 ( https://discover.ukdataservice.ac.uk/catalogue/?sn=5050&type=Data%20catalogue ).
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Affiliation(s)
- Jannie Nielsen
- Global Health Section, Department of Public Health, University of Copenhagen, Oester Farimagsgade 5, Building 9, Mailbox 2099, 1014, Copenhagen K., Denmark.
- Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
| | - Adam Hulman
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Danish Diabetes Academy, Odense, Denmark
| | - Daniel R Witte
- Department of Public Health, Aarhus University, Aarhus, Denmark
- Danish Diabetes Academy, Odense, Denmark
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16
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Renault S, Dhand A. Converse well-being of locked-in patients and caregivers. Ann Neurol 2017; 82:490-491. [PMID: 28833439 DOI: 10.1002/ana.25027] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2017] [Accepted: 05/13/2017] [Indexed: 11/08/2022]
Affiliation(s)
- Simone Renault
- Department of Neurology, Brigham and Women's Hospital, Boston, MA
| | - Amar Dhand
- Department of Neurology, Brigham and Women's Hospital, Boston, MA
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Kandula NR. Capsule Commentary on Raghavan et al., Incident Type 2 Diabetes Risk is Influenced by Obesity and Diabetes in Social Contacts: A Social Network Analysis. J Gen Intern Med 2016; 31:1212. [PMID: 27473007 PMCID: PMC5023619 DOI: 10.1007/s11606-016-3815-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
Affiliation(s)
- Namratha R Kandula
- Feinberg School of Medicine, Division of General Internal Medicine, Northwestern University, Chicago, IL, USA.
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18
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Zheng S, Shi S, Ren X, Han T, Li Y, Chen Y, Liu W, Hou PC, Hu Y. Triglyceride glucose-waist circumference, a novel and effective predictor of diabetes in first-degree relatives of type 2 diabetes patients: cross-sectional and prospective cohort study. J Transl Med 2016; 14:260. [PMID: 27604550 PMCID: PMC5015232 DOI: 10.1186/s12967-016-1020-8] [Citation(s) in RCA: 97] [Impact Index Per Article: 12.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2016] [Accepted: 08/26/2016] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Body mass index (BMI), waist circumference (WC), visceral adiposity index (VAI), triglyceride glucose index (TyG), TyG-BMI, and TyG-WC have been reported as markers of insulin resistance or type 2 diabetes mellitus (T2DM). However, little is known about the associations between the aforementioned markers and the risk of prediabetes and diabetes in first-degree relatives (FDRs) of T2DM patients. METHODS 1544 FDRs of T2DM patients (635 men and 909 women) were enrolled in the initial cross-sectional study and all of them finished corresponding examinations. Logistic regression analysis and receiver operating characteristic (ROC) curve were used to compare and identify the associations of the six parameters (BMI, WC, VAI, TyG, TyG-BMI and TyG-WC) with the prevalence of prediabetes and diabetes. Subsequently, 452 of them were followed-up for an average of 5 years. Cox proportional hazard regression model was applied to confirm the predictive value of the optimal marker. RESULTS Among the indices, TyG-WC was more strongly associated with the prevalence of prediabetes and diabetes. Compared with participants in the lowest quartile of TyG-WC, the adjusted odds ratio and 95 % CIs for prediabetes and diabetes was 11.19 (7.62-16.42) for those in the top quartile of TyG-WC. Moreover, the largest AUC was also observed in TyG-WC (0.765, 95 % CIs 0.741-0.789, P < 0.001). The robust predictive value of TyG-WC was further confirmed in the follow-up study (HR: 7.13, 95 % CIs 3.41-14.90, P < 0.001). CONCLUSIONS TyG-WC is a novel and clinically effective marker for early identifying the risks of prediabetes and diabetes in FDRs of T2DM patients.
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Affiliation(s)
- Shuang Zheng
- Department of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, No.160 Pujian Road, Shanghai, 200127, China
| | - Sheng Shi
- Department of Orthopedic Surgery, Renji Hospital, School of Medicine, Shanghai Jiaotong University, No.160 Pujian Road, Shanghai, 200127, China
| | - Xingxing Ren
- Department of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, No.160 Pujian Road, Shanghai, 200127, China
| | - Tingting Han
- Department of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, No.160 Pujian Road, Shanghai, 200127, China
| | - Yangxue Li
- Department of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, No.160 Pujian Road, Shanghai, 200127, China
| | - Yawen Chen
- Department of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, No.160 Pujian Road, Shanghai, 200127, China
| | - Wei Liu
- Department of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, No.160 Pujian Road, Shanghai, 200127, China
| | - Peter C Hou
- Department of Emergency Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Yaomin Hu
- Department of Endocrinology, Renji Hospital, School of Medicine, Shanghai Jiaotong University, No.160 Pujian Road, Shanghai, 200127, China.
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