Identification of Undiagnosed Hyperlipidemia: Do Work Site Screening Programs Work?

Koyama, Alain; Bali, Vishal; Yermilov, Irina; Legorreta, Antonio P.

doi:10.1177/0890117116671537

Cited by 3 publications

(6 citation statements)

References 21 publications

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“…We excluded 89 articles which were duplicate studies (n=1); performed before the year 2000 (n=9); had absence of full text or lack of sufficient data for extraction (n=22); had the presence of known diabetes, pre-diabetes or CVD (n=44); or target population whose subjects reported family history of diabetes, pre-diabetes or elevated BMI (n=13). Finally, we included 38 studies from 33 articles in the present systematic review 27–59…”

Section: Resultsmentioning

confidence: 99%

“…A total of four studies offered lipid screening33 34 51 57: one cross-sectional screening survey was covered by research funding,57 one study was workplace-based screening and insured by employers33 and the other two studies were for national screening programmes supported by government organisations 34 51. Only one study was from a developed country33 (table 1).…”

Section: Resultsmentioning

confidence: 99%

“…In these four articles, two articles reported body weight and height,33 57 and one study stated both waist and hip circumference 57. For participants, the proportion of women ranged from 48.8% to 58.4%.…”

Section: Resultsmentioning

confidence: 99%

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Characteristics of participants who take up screening tests for diabetes and lipid disorders: a systematic review

et al. 2022

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ObjectivesTo perform a systematic review on the characteristics of participants who attended screening programmes with blood glucose tests, lipid profiles or a combination of them, respectively.DesignSystematic review following the Meta-analysis Of Observational Studies in Epidemiology checklist.Data sourcesPubMed and Medline databases for English literature from 1 January 2000 to 1 April 2020.Eligibility criteriaOriginal observational studies that reported baseline characteristics of apparently healthy adult participants screening for diabetes and lipid disorders were included in this review.Data extractionWe examined their sociodemographic characteristics, including age, gender, body mass index (BMI) and lifestyle habits. The quality of the included articles was evaluated by the Appraisal of Cross-sectional Studies.ResultsA total of 33 articles involving 38 studies in 22 countries were included and analysed in this systematic review. Overall, there was a higher participation rate among subjects who were female in all screening modalities (female vs male: 46.6%–63.9% vs 36.1%–53.4% for diabetes screening; 48.8%–58.4% vs 41.6%–51.2% for lipid screening; and 36.4%–76.8% vs 23.2%–63.6% for screening offering both). Compared with the BMI standard from the WHO, participants in lipid screening had lower BMI (male: 23.8 kg/m2 vs 24.2 kg/m2, p<0.01; female: 22.3 kg/m2 vs 23.6 kg/m2, p<0.01). Furthermore, it is less likely for individuals of lower socioeconomic status to participate in diabetes or lipid screening in developed areas.ConclusionsWe identified that individuals from lower socioeconomic groups were less likely to take up programmes for diabetes and/or lipid screening in developed areas. These populations are also likely to be at higher risk of non-communicable diseases. Future studies should investigate the barriers and facilitators of screening among non-participants, where targeted interventions to enhance their screening uptake are warranted.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Characteristics of participants who take up screening tests for diabetes and lipid disorders: a systematic review

et al. 2022

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“…When WMLs result from hypoxic-ischemic brain lesions and lead to cognitive impairment, this complex disorder is characterized as SAE [ 17 ]. Individuals were considered to have hyperlipidemia at screening if they had a total cholesterol level of more than 6.2 mmol/L (240 mg/dL), serum triglycerides concentrations more than 2.3 mmol/L (200 mg/dL), serum LDL-C concentrations more than 4.1 mmol/L (160 mg/dL) or serum HDL-C concentrations less than 1.0 mmol/L (40 mg/dL) [ 43 – 47 ]. Hypoglycemia was defined in subjects with a plasma glucose of ≤3.9mmol/L and/or self-reported probable hypoglycemic symptoms [ 48 ].…”

Section: Methodsmentioning

confidence: 99%

Vascular, inflammatory and metabolic risk factors in relation to dementia in Parkinson’s disease patients with type 2 diabetes mellitus

Wang

Yuan

Chen

et al. 2020

Aging

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There are limited data on vascular, inflammatory, metabolic risk factors of dementia in Parkinson’s disease (PD) with type 2 diabetes mellitus (DM) (PD-DM). In a study of 928 subjects comprising of 215 PD with DM (including 31 PD-DM with dementia, PD-DMD), 341 PD without DM (including 31 PD with dementia, PDD) and 372 DM without PD (including 35 DM with dementia, DMD) patients, we investigated if vascular, inflammatory, metabolic, and magnetic resonance imaging (MRI) markers were associated with dementia in PD-DM. Lower fasting blood glucose (FBG<5mmol/L, OR=4.380; 95%CI: 1.748-10.975; p=0.002), higher homocysteine (HCY>15 μ mol/L, OR=3.131; 95%CI: 1.243-7.888; p=0.015) and hyperlipidemia (OR=3.075; 95%CI: 1.142-8.277; p=0.026), increased age (OR=1.043; 95%CI: 1.003-1.084; p=0.034) were the most significant risk factors in PDD patients. Lower low-density lipoprotein cholesterol (LDL-C<2mmol/L, OR=4.499; 95%CI: 1.568-12.909; p=0.005) and higher fibrinogen (>4g/L, OR=4.066; 95%CI: 1.467-11.274; p=0.007) were the most significant risk factors in PD-DMD patients. The area under the curve (AUC) for fibrinogen and LDL-C was 0.717 (P=0.001), with a sensitivity of 80.0% for the prediction of PD-DMD. In summary, we identified several factors including LDL-C and fibrinogen as significant risk factors for PD-DMD and these may have prognostic and treatment implications.

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“…Most updated literatures showed that in 2019 there are 50.1% (231.9 million) of diabetes patients still undiagnosed worldwide 5 . A large proportion of cases with hypertension 6 and hyperlipidemia 7 are also unware of their condition, particularly in low and middle income countries 8 .…”

mentioning

confidence: 99%

Screening for chronic conditions with reproductive factors using a machine learning based approach

Tian

Dong

Chan

et al. 2020

Sci Rep

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A large proportion of cases with chronic conditions including diabetes or pre-diabetes, hypertension and dyslipidemia remain undiagnosed. to include reproductive factors (Rf) might be able to improve current screening guidelines by providing extra effectiveness. The objective is to study the relationships between Rfs and chronic conditions' biomarkers. A cross-sectional study was conducted. Demographics, RFs and metabolic biomarkers were collected. The relationship of the metabolic biomarkers were shown by correlation analysis. principal component analysis (pcA) and autoencoder were compared by cross-validation. The better one was adopted to extract a single marker, the general chronic condition (GCC), to represent the body's chronic conditions. Multivariate linear regression was performed to explore the relationship between GCC and RFs. In total, 1,656 postmenopausal females were included. A multi-layer autoencoder outperformed pcA in the dimensionality reduction performance. The extracted variable by autoencoder, GCC, was verified to be representative of three chronic conditions (AUC for patoglycemia, hypertension and dyslipidemia were 0.844, 0.824 and 0.805 respectively). Linear regression showed that earlier age at menarche (OR = 0.9976) and shorter reproductive life span (oR = 0.9895) were associated with higher GCC. Autoencoder performed well in the dimensionality reduction of clinical metabolic biomarkers. Due to high accessibility and effectiveness, RFs have potential to be included in screening tools for general chronic conditions and could enhance current screening guidelines.

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Identification of Undiagnosed Hyperlipidemia: Do Work Site Screening Programs Work?

Cited by 3 publications

References 21 publications

Characteristics of participants who take up screening tests for diabetes and lipid disorders: a systematic review

Characteristics of participants who take up screening tests for diabetes and lipid disorders: a systematic review

Vascular, inflammatory and metabolic risk factors in relation to dementia in Parkinson’s disease patients with type 2 diabetes mellitus

Screening for chronic conditions with reproductive factors using a machine learning based approach

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