scholarly journals Sleep quality deterioration in middle-aged and older adults living in a rural Ecuadorian village severely struck by the SARS-CoV-2 pandemic. A population-based longitudinal prospective study

SLEEP ◽  
2021 ◽  
Author(s):  
Oscar H Del Brutto ◽  
Robertino M Mera ◽  
Aldo F Costa ◽  
Bettsy Y Recalde ◽  
Pablo R Castillo
Keyword(s):  
Sleep Quality ◽  
Mixed Models ◽  
Regression Models ◽  
Pittsburgh Sleep Quality Index ◽  
Population Based ◽  
Logistic Regression Models ◽  
Before And After ◽  
Atahualpa Project ◽  
Relevant Covariates

Abstract Study Objectives This study assessed changes in sleep quality before and after the peak of the SARS-CoV-2 pandemic in community dwellers enrolled in the Atahualpa Project. Methods Atahualpa residents aged ≥40 years were eligible if they had a Pittsburgh Sleep Quality Index (PSQI) 9 months before the pandemic and a lateral flow-based test for identification of SARS-CoV-2 antibodies during the peak of the pandemic. Six months later, individuals completed a follow-up PSQI. The independent relationship between SARS-CoV-2 infection and deterioration in sleep quality was assessed by fitting logistic mixed models for longitudinal data. Results Of 639 participants (mean age at baseline: 59 ± 12.8 years), 325 (51%) had SARS-CoV-2 antibodies. A total of 185 (29%) individuals at baseline and 311 (49%) at follow-up were poor sleepers (p < 0.001). Mixed logistic regression models demonstrated a significant increase in poor sleepers at follow-up (odds ratio [OR]: 2.85; 95% CI: 2.16 to 3.75), which was more marked among SARS-CoV-2 seropositive subjects (OR: 3.8; 95% CI: 2.48 to 5.81). The adjusted proportion of poor sleepers increased from 29% to 56.2% (95% CI: 50.9% to 61.6%) among SARS-CoV-2 seropositive individuals, but only to 40.7% (95% CI: 35.3% to 46.1%) in their seronegative counterparts (p < 0.001). Likewise, progression from a good to a poor sleeper status was higher among seropositive individuals than in their seronegative counterparts (38.1% vs 22.3%; p < 0.001), after adjusting for relevant covariates. Conclusions This study shows a deleterious effect of SARS-CoV-2 in sleep quality. An effect of SARS-CoV-2 in disrupting sleep-related pathways cannot be ruled out. Trial registration The Atahualpa Project has been registered at ClinicalTrials.gov; the identifier number is NCT01627600, and the date was: 10/02/2012 (https://clinicaltrials.gov/ct2/show/NCT01627600?cond=Atahualpa&draw=2&rank=1). The Sleep Disorders substudy has been registered at ClinicalTrials.gov; the identifier number is NCT01877616, and the date was: 06/13/2013 (https://clinicaltrials.gov/ct2/show/NCT01877616?cond=Atahualpa&draw=2&rank=4).

scholarly journals Urinary Phytoestrogens and Relationship to Menstrual Cycle Length and Variability Among Healthy, Eumenorrheic Women

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Lindsay D Levine ◽  
Keewan Kim ◽  
Alexandra Purdue-Smithe ◽  
Rajeshwari Sundaram ◽  
Enrique F Schisterman ◽  
...  
Keyword(s):  
Menstrual Cycle ◽  
Mixed Models ◽  
Odds Ratio ◽  
Regression Models ◽  
Cycle Length ◽  
Population Based ◽  
Biological Mechanisms ◽  
Logistic Regression Models ◽  
Menstrual Cycle Length ◽  
Hormonal Milieu

Abstract Context Phytoestrogens may influence fecundability, although biological mechanisms remain elusive. Since it is hypothesized that phytoestrogens may act through influencing hormone levels, we investigated associations between phytoestrogens and menstrual cycle length, a proxy for the hormonal milieu, in healthy women attempting pregnancy. Design A population-based prospective cohort of 326 women ages 18 to 40 with self-reported cycles of 21 to 42 days were followed until pregnancy or for 12 months of attempting pregnancy. Methods Urinary genistein, daidzein, O-desmethylangolensin, equol, enterodiol, and enterolactone were measured upon enrollment. Cycle length was determined from fertility monitors and daily journals. Linear mixed models assessed associations with continuous cycle length and were weighted by the inverse number of observed cycles. Logistic regression models assessed menstrual regularity (standard deviation > 75th vs ≤ 75th percentile). Models were adjusted for age, body mass index, race, creatinine, exercise, supplements, lipids, lead, cadmium, cotinine, parity, alcohol, and other phytoestrogens. Results Individual phytoestrogens were not associated with cycle length, although total phytoestrogens were associated with shorter cycles (−0.042 days; 95% confidence interval [CI], −0.080 to −0.003, per 10% increase). Each 1 nmol/L increase in enterolactone (odds ratio [OR] 0.88; 95% CI, 0.79-0.97) and total lignans (OR 0.85; 95% CI, 0.76-0.95) was associated with reduced irregularity, and each 1 nmol/L increase in genistein with irregularity (OR 1.19; 95% CI, 1.02-1.38). Conclusion Phytoestrogens were not meaningfully associated with cycle length but may be associated with menstrual regularity, among women with self-reported regular cycles. These results highlight differences between isoflavones and lignans and are reassuring for women attempting pregnancy.

scholarly journals MO470PATIROMER PHARMACOUTILIZATION IN REAL-WORLD GERMAN CKD PATIENTS WITH MODERATELY TO SEVERELY REDUCED EGFR

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Roberto Pecoits-Filho ◽  
Daniel Muenz ◽  
K P McCullough ◽  
Johannes Duttlinger ◽  
Viviane Calice-Siva ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Real World ◽  
Regression Models ◽  
High Serum ◽  
High Morbidity ◽  
Logistic Regression Models ◽  
Ckd Stage ◽  
Before And After ◽  
Lower Egfr

Abstract Background and Aims Hyperkalemia (HK) (serum K>5.0 mEq/L) is a chronic condition in patients with chronic kidney disease (CKD) associated with high morbidity and mortality, and it is a frequent reasons for renin angiotensin aldosterone inhibition (RAASi) discontinuation. Patiromer is a non-absorbed, sodium-free, K+ binder that has been shown to reduce serum K+ in patients with HK, and thereby enable RAASi therapy, which is supported by randomized trial evidence. The description of patiromer utilization in patients with moderate to advanced CKD in the real-world setting in Europe is lacking. The objective of this analysis was to describe predictors of patiromer initiation and time to discontinuation among CKD patients using contemporary (April 2018-October 2020) data from German participants in CKD Outcomes and Practice Patterns Study (CKDopps). Method We identified 136 patiromer users (116 with matching K measurement) during the observation period. Patients with eGFR <60ml/min/1.73m2 and a serum potassium ≥4mEq/L who never initiated patiromer during the follow up were used as a comparison. We used the most recent lab and drug use information available within the 6-month period prior to baseline, which was defined as either first use of patiromer, April 1, 2018, or entry into the PDOPPS study. The median time between the most recent K+ measurement and baseline was 45 days for non-patiromer users and 4 days for patiromer users. Logistic regression models were used to test associations between patient factors and whether the patient was in the patiromer initiation group or the comparison group. Time on patiromer was estimated using a Kaplan-Meier curve, censoring for death, dialysis, transplantation, or loss of follow-up. Results Patiromer was prescribed to ≥2 patients in 11 clinics, one patient in 19 clinics, and zero patients in 57 clinics. Patients prescribed patiromer had lower eGFR (23.2 [15.8, 28.6] vs 36.9 [27.7, 46.3]ml/min) and higher serum K levels (5.6 [5.4, 6.1] vs 4.6 [4.3, 5.0]ml/min). There were no major differences according to patiromer use in other demographic, clinical, and biochemical characteristics. Despite the differences in serum K, use of RAAS inhibitors was similar in patiromer users (83%) versus non-users (80%). Thirty three percent of patiromer users were prescribed polystyrene sulfonate (SPS) before patiromer initiation. In a multiple logistic regression models (including serum K, CKD stage, gender, age, prescription of RAASi, diabetes, coronary artery disease, heart failure), patiromer use was strongly associated more advanced CKD stage (independently of high serum K), with odds ratios of initiation >3 for CKD stage 4 or 5 versus CKD stage 3. Among new users, 90% of patients had active prescription at 30 days and about one-half had active prescription at one year (Figure). Conclusion The main predictors of Patiromer initiation were advanced CKD stage and hyperkalemia. Treatment decisions did not appear to be based on other patient or clinical characteristics. Patiromer was often prescribed to patients already receiving alternative HK treatment (SPS), suggesting use for chronic hyperkalemia rather than response to acute event. Further analysis with a larger population and measurements of K+ before and after patiromer initiation may improve the understanding of its pharmacoutilization in moderate to advanced CKD.

scholarly journals P026 Sleep during the transition to shift work: Preliminary findings of a longitudinal field study of commencing paramedics

2021 ◽  
Vol 2 (Supplement_1) ◽  
pp. A30-A30
Author(s):  
M Crowther ◽  
S Ferguson ◽  
R Adams ◽  
A Reynolds
Keyword(s):  
Sleep Quality ◽  
Mixed Models ◽  
Online Survey ◽  
Pittsburgh Sleep Quality Index ◽  
Occupational Injuries ◽  
Poor Sleep ◽  
Increased Risk ◽  
Time Point

Abstract Paramedics are at increased risk of occupational injuries, mental illness and poor health outcomes. Little is known however about the role of poor sleep in such outcomes and the way in which sleep may change as an individual commences work as a paramedic. The aim of the present study is to investigate changes in sleep as paramedics commence work. As part of an ongoing, longitudinal study of Australian paramedics, participants undertake a baseline assessment prior to commencing work and a follow up every three months for a year. At each time point paramedics wear an actigraph (GENEActiv) for seven days, and complete an online survey including the Pittsburgh Sleep Quality Index (PSQI). The present preliminary analysis utilised linear mixed models to test the effect of commencing work as a paramedic on participants’ sleep quality. Preliminary results from the first cohort of recruits are reported (n=9 commencing paramedics, mean age (+SD) = 25.2±4.4, 56% female). There was a significant increase in PSQI scores from baseline (T0: 2.4±1.4) to three months (T1: 5.2±3.9) (F(1, 8) = 5.47, p = 0.05). The percentage of individuals with clinically poor sleep (PSQI ≥5) increased from 0% (n=0) at T0 to 56% (n=5) at T1. Commencing paramedics report significantly poorer sleep quality compared to their pre-commencement levels. Interestingly, baseline PSQI scores indicate no participants were experiencing clinically defined poor sleep. However, at follow-up over half the sample reported clinically defined poor sleep. Findings of objective sleep and wake outcomes are anticipated for the meeting in October.

scholarly journals Diabetes mellitus as a risk factor for compression neuropathy: a longitudinal cohort study from southern Sweden

2020 ◽  
Vol 8 (1) ◽  
pp. e001298 ◽  
Author(s):  
Mattias Rydberg ◽  
Malin Zimmerman ◽  
Anders Gottsäter ◽  
Peter M Nilsson ◽  
Olle Melander ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Risk Factor ◽  
Plasma Glucose ◽  
Regression Models ◽  
Cox Regression ◽  
Binary Logistic Regression ◽  
Population Based ◽  
Logistic Regression Models ◽  
Increased Risk

IntroductionCompression neuropathies (CN) in the upper extremity, the most common being carpal tunnel syndrome (CTS) and ulnar nerve entrapment (UNE), are frequent among patients with diabetes mellitus (DM). Earlier studies have shown contradicting results regarding DM as a risk factor for CN. Thus, the aim of the present population-based, longitudinal study was to explore potential associations between DM, CTS, and UNE during long-term follow-up.Research design and methodsA total of 30 466 participants aged 46–73 years, included in the population-based Malmö Diet and Cancer Study during 1991–1996, were followed up in Swedish national registries regarding incident CTS and UNE until 2016. Associations between prevalent DM at baseline and incident CTS or UNE were calculated using Cox proportional hazard models, adjusted for baseline confounders, such as sex, age at study entry, smoking, hypertension, use of antihypertensive treatment, alcohol consumption, and body mass index (BMI). HbA1c and fasting plasma glucose levels had been measured at baseline in a subgroup of 5508 participants and were related to incident CTS and UNE in age and sex-adjusted binary logistic regression models.ResultsA total of 1081 participants developed CTS and 223 participants developed UNE during a median follow-up of 21 years. Participants with incident CTS or UNE had higher prevalence of DM and higher BMI at baseline. Using multivariate Cox regression models, prevalent DM at baseline was independently associated with both incident CTS (HR 2.10; 95% CI 1.65 to 2.70, p<0.0001) and incident UNE (HR 2.20; 95% CI 1.30 to 3.74, p=0.003). Higher levels of HbA1c and plasma glucose were associated with an increased risk for CTS, but not for UNE.ConclusionThis study establishes DM as a major risk factor in the development of both CTS and UNE. Furthermore, a higher BMI is associated with both CTS and UNE. Finally, hyperglycemia seems to affect the median and ulnar nerves differently.

Demographic factors associated with missed follow-up among solid tumor patients treated at a large multi-site academic institution

2020 ◽  
Vol 16 (32) ◽  
pp. 2635-2643
Author(s):  
Samantha L Freije ◽  
Jordan A Holmes ◽  
Saleh Rachidi ◽  
Susannah G Ellsworth ◽  
Richard C Zellars ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Odds Ratio ◽  
Regression Models ◽  
Tumor Patients ◽  
Logistic Regression Models ◽  
Factors Associated ◽  
Follow Up Care ◽  
Risk Patients ◽  
African American Race

Aim: To identify demographic predictors of patients who miss oncology follow-up, considering that missed follow-up has not been well studies in cancer patients. Methods: Patients with solid tumors diagnosed from 2007 to 2016 were analyzed (n = 16,080). Univariate and multivariable logistic regression models were constructed to examine predictors of missed follow-up. Results: Our study revealed that 21.2% of patients missed ≥1 follow-up appointment. African–American race (odds ratio [OR] 1.33; 95% CI: 1.17–1.51), Medicaid insurance (OR 1.59; 1.36–1.87), no insurance (OR 1.66; 1.32–2.10) and rural residence (OR 1.78; 1.49–2.13) were associated with missed follow-up. Conclusion: Many cancer patients miss follow-up, and inadequate follow-up may influence cancer outcomes. Further research is needed on how to address disparities in follow-up care in high-risk patients.

scholarly journals Low HbA1c levels and all-cause or cardiovascular mortality among people without diabetes: the US National Health and Nutrition Examination Survey 1999–2015

2020 ◽  
Author(s):  
Kosuke Inoue ◽  
Roch Nianogo ◽  
Donatello Telesca ◽  
Atsushi Goto ◽  
Vahe Khachadourian ◽  
...  
Keyword(s):  
Cardiovascular Mortality ◽  
Regression Models ◽  
Machine Learning Algorithms ◽  
Logistic Regression Models ◽  
Health And Nutrition ◽  
Increased Risk ◽  
The Us ◽  
All Cause Mortality ◽  
Hba1c Levels

Abstract Objective It is unclear whether relatively low glycated haemoglobin (HbA1c) levels are beneficial or harmful for the long-term health outcomes among people without diabetes. We aimed to investigate the association between low HbA1c levels and mortality among the US general population. Methods This study includes a nationally representative sample of 39 453 US adults from the National Health and Nutrition Examination Surveys 1999–2014, linked to mortality data through 2015. We employed the parametric g-formula with pooled logistic regression models and the ensemble machine learning algorithms to estimate the time-varying risk of all-cause and cardiovascular mortality by HbA1c categories (low, 4.0 to &lt;5.0%; mid-level, 5.0 to &lt;5.7%; prediabetes, 5.7 to &lt;6.5%; and diabetes, ≥6.5% or taking antidiabetic medication), adjusting for 72 potential confounders including demographic characteristics, lifestyle, biomarkers, comorbidities and medications. Results Over a median follow-up of 7.5 years, 5118 (13%) all-cause deaths, and 1116 (3%) cardiovascular deaths were observed. Logistic regression models and machine learning algorithms showed nearly identical predictive performance of death and risk estimates. Compared with mid-level HbA1c, low HbA1c was associated with a 30% (95% CI, 16 to 48) and a 12% (95% CI, 3 to 22) increased risk of all-cause mortality at 5 years and 10 years of follow-up, respectively. We found no evidence that low HbA1c levels were associated with cardiovascular mortality risk. The diabetes group, but not the prediabetes group, also showed an increased risk of all-cause mortality. Conclusions Using the US national database and adjusting for an extensive set of potential confounders with flexible modelling, we found that adults with low HbA1c were at increased risk of all-cause mortality. Further evaluation and careful monitoring of low HbA1c levels need to be considered.

scholarly journals Psychotropic and pain medication use in individuals with traumatic brain injury—a Swedish total population cohort study of 240 000 persons

2021 ◽  
Vol 92 (5) ◽  
pp. 519-527
Author(s):  
Yasmina Molero ◽  
David James Sharp ◽  
Brian Matthew D'Onofrio ◽  
Henrik Larsson ◽  
Seena Fazel
Keyword(s):  
Traumatic Brain Injury ◽  
Brain Injury ◽  
Total Population ◽  
Medication Use ◽  
Population Based ◽  
Pain Medication ◽  
Short Term ◽  
Pain Medications ◽  
Before And After

ObjectiveTo examine psychotropic and pain medication use in a population-based cohort of individuals with traumatic brain injury (TBI), and compare them with controls from similar backgrounds.MethodsWe assessed Swedish nationwide registers to include all individuals diagnosed with incident TBI between 2006 and 2012 in hospitals or specialist outpatient care. Full siblings never diagnosed with TBI acted as controls. We examined dispensed prescriptions for psychotropic and pain medications for the 12 months before and after the TBI.ResultsWe identified 239 425 individuals with incident TBI, and 199 658 unaffected sibling controls. In the TBI cohort, 36.6% had collected at least one prescription for a psychotropic or pain medication in the 12 months before the TBI. In the 12 months after, medication use increased to 45.0%, an absolute rate increase of 8.4% (p<0.001). The largest post-TBI increases were found for opioids (from 16.3% to 21.6%, p<0.001), and non-opioid pain medications (from 20.3% to 26.6%, p<0.001). The majority of prescriptions were short-term; 20.6% of those prescribed opioids and 37.3% of those with benzodiazepines collected prescriptions for more than 6 months. Increased odds of any psychotropic or pain medication were associated with individuals before (OR: 1.62, 95% CI: 1.59 to 1.65), and after the TBI (OR: 2.30, 95% CI: 2.26 to 2.34) as compared with sibling controls, and ORs were consistently increased for all medication classes.ConclusionHigh rates of psychotropic and pain medications after a TBI suggest that medical follow-up should be routine and review medication use.

scholarly journals Dietary and lifestyle inflammatory scores are associated with increased risk of metabolic syndrome in Iranian adults

2021 ◽  
Vol 13 (1) ◽  
Author(s):  
Hossein Farhadnejad ◽  
Karim Parastouei ◽  
Hosein Rostami ◽  
Parvin Mirmiran ◽  
Fereidoun Azizi
Keyword(s):  
Metabolic Syndrome ◽  
Positive Association ◽  
Population Based ◽  
Population Based Study ◽  
Logistic Regression Models ◽  
Increased Risk ◽  
Confounding Variables ◽  
Adjusted Model ◽  
Diet And Lifestyle

Abstract Background In the current study, we aimed to investigate the association of dietary inflammation scores (DIS) and lifestyle inflammation scores (LIS) with the risk of metabolic syndrome (MetS) in a prospective population-based study. Methods A total of 1625 participants without MetS were recruited from among participants of the Tehran Lipid and Glucose Study(2006–2008) and followed a mean of 6.1 years. Dietary data of subjects were collected using a food frequency questionnaire at baseline to determine LIS and DIS. Multivariable logistic regression models, were used to calculate the odds ratio (ORs) and 95 % confidence interval (CI) of MetS across tertiles of DIS and LIS. Results Mean ± SD age of individuals (45.8 % men) was 37.5 ± 13.4 years. Median (25–75 interquartile range) DIS and LIS for all participants was 0.80 (− 2.94, 3.64) and 0.48 (− 0.18, − 0.89), respectively. During the study follow-up, 291 (17.9 %) new cases of MetS were identified. Based on the age and sex-adjusted model, a positive association was found between LIS (OR = 7.56; 95% CI 5.10–11.22, P for trend < 0.001) and risk of MetS, however, the association of DIS and risk of MetS development was not statistically significant (OR = 1.30;95% CI 0.93–1.80, P for trend = 0.127). In the multivariable model, after adjustment for confounding variables, including age, sex, body mass index, physical activity, smoking, and energy intake, the risk of MetS is increased across tertiles of DIS (OR = 1.59; 95% CI 1.09–2.33, P for trend = 0.015) and LIS(OR = 8.38; 95% CI 5.51–12.7, P for trend < 0.001). Conclusions The findings of the current study showed that greater adherence to LIS and DIS, determined to indicate the inflammatory potential of diet and lifestyle, are associated with increased the risk of MetS.

Long-term trajectories of decline in cognition and daily functioning before and after stroke

2021 ◽  
pp. jnnp-2021-326043
Author(s):  
Alis Heshmatollah ◽  
Lisanne J. Dommershuijsen ◽  
Lana Fani ◽  
Peter J. Koudstaal ◽  
M. Arfan Ikram ◽  
...  
Keyword(s):  
Continuous Monitoring ◽  
Mini Mental State Examination ◽  
Functional Decline ◽  
Population Based ◽  
Daily Functioning ◽  
Linear Mixed Effects ◽  
Before And After ◽  
State Examination

ObjectiveAlthough knowledge on poststroke cognitive and functional decline is increasing, little is known about the possible decline of these functions before stroke. We determined the long-term trajectories of cognition and daily functioning before and after stroke.MethodsBetween 1990 and 2016, we repeatedly assessed cognition (Mini-Mental State Examination (MMSE), 15-Word Learning, Letter–Digit Substitution, Stroop, Verbal Fluency, Purdue Pegboard) and basic and instrumental activities of daily living (BADL and IADL) in 14 712 participants within the population-based Rotterdam Study. Incident stroke was assessed through continuous monitoring of medical records until 2018. We matched participants with incident stroke to stroke-free participants (1:3) based on sex and birth year. Trajectories of cognition and daily functioning of patients who had a stroke 10 years before and 10 years after stroke and the corresponding trajectories of stroke-free individuals were constructed using adjusted linear mixed effects models.ResultsDuring a mean follow-up of 12.5±6.8 years, a total of 1662 participants suffered a first-ever stroke. Patients who had a stroke deviated from stroke-free controls up to 10 years before stroke diagnosis in cognition and daily functioning. Significant deviations before stroke were seen in scores of MMSE (6.4 years), Stroop (5.7 years), Purdue Pegboard (3.8 years) and BADL and IADL (2.2 and 3.0 years, respectively).ConclusionPatients who had a stroke have steeper declines in cognition and daily functioning up to 10 years before their first-ever stroke compared with stroke-free individuals. Our findings suggest that accumulating intracerebral pathology already has a clinical impact before stroke.

scholarly journals Ethnic differences in the incidence of pterygium in a multi-ethnic Asian population: the Singapore Epidemiology of Eye Diseases Study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xiao Ling Fang ◽  
Crystal Chun Yuen Chong ◽  
Sahil Thakur ◽  
Zhi Da Soh ◽  
Zhen Ling Teo ◽  
...  
Keyword(s):  
Ethnic Differences ◽  
Regression Models ◽  
Multivariable Analysis ◽  
Anterior Segment ◽  
Asian Population ◽  
Eye Diseases ◽  
Logistic Regression Models ◽  
Income Status ◽  
Baseline Visit

AbstractWe evaluated the 6-year incidence and risk factors of pterygium in a multi-ethnic Asian population. Participants who attended the baseline visit of the Singapore Epidemiology of Eye Diseases Study (year 2004–2011) and returned six years later, were included in this study. Pterygium was diagnosed based on anterior segment photographs. Incident pterygium was defined as presence of pterygium at 6-year follow-up in either eye, among individuals without pterygium at baseline. Multivariable logistic regression models were used to determine factors associated with incident pterygium, adjusting for baseline age, gender, ethnicity, body mass index, occupation type, educational level, income status, smoking, alcohol consumption, presence of hypertension, diabetes and hyperlipidemia. The overall age-adjusted 6-year incidence of pterygium was 1.2% (95% confidence interval [CI] 1.0–1.6%); with Chinese (1.9%; 95% CI 1.4%-2.5%) having the highest incidence rate followed by Malays (1.4%; 95% CI 0.9%-2.1%) and Indians (0.3%; 95% CI 0.3–0.7%). In multivariable analysis, Chinese (compared with Indians; odds ratio [OR] = 4.21; 95% CI 2.12–9.35) and Malays (OR 3.22; 95% CI 1.52–7.45), male (OR 2.13; 95% CI 1.26–3.63), outdoor occupation (OR 2.33; 95% CI 1.16–4.38), and smoking (OR 0.41; 95% CI 0.16–0.87) were significantly associated with incident pterygium. Findings from this multi-ethnic Asian population provide useful information in identifying at-risk individuals for pterygium.

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