Multicollinearity in Regression Analyses Conducted in Epidemiologic Studies

Vatcheva, Kristina; Lee, Minjae; McCormick, Joseph B.; Rahbar, Mohammad Hossein

doi:10.4172/2161-1165.1000227

Cited by 754 publications

(596 citation statements)

References 29 publications

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“…It seems that for the research question being discussed here the inclusion of years worked is an inappropriate approach to adjust for left truncation. Rather, the simultaneous inclusion of two highly correlated variables in the model results in biased risk estimates (Yoo et al 2014;Vatcheva et al 2016).…”

Section: Description Of the Study And Authors' Main Resultsmentioning

confidence: 99%

A critical review of the relationship between occupational exposure to diesel emissions and lung cancer risk

Möhner

Wendt

2017

Critical Reviews in Toxicology

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In 2012, a working group of the International Agency for Research on Cancer classified diesel exhaust (DE) as a human carcinogen (Group 1). This decision was primarily based on the findings of the Diesel Exhaust in Miners Study (DEMS). The disparity between the results of various methodological approaches applied to the DEMS led to several critical commentaries. An expert panel was subsequently set up by the Health Effects Institute to evaluate the DEMS results, together with a large study in the trucking industry. The panel concluded that both studies provided a useful basis for quantitative risk assessments (QRAs) of DE exposure. However, the results of both studies were non-definitive as the studies suffer from several methodological shortcomings. We conducted a critical review of the studies used by the International Agency for Research on Cancer (IARC) working group to evaluate the relationship between DE and lung cancer. The aim was to assess whether the available studies support the statement of a causal relationship and, secondarily if they could be used for QRA. Our review highlights several methodological flaws in the studies, amongst them overadjustment bias, selection bias, and confounding bias. The conclusion from our review is that the currently published studies provide little evidence for a definite causal link between DE exposure and lung cancer risk. Based on two studies in miners, the DEMS and the German Potash Miners study, QRA may be conducted. However, the DEMS data should be reanalyzed in advance to avoid bias that affects the presently published risk estimates.

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Section: Description Of the Study And Authors' Main Resultsmentioning

confidence: 99%

A critical review of the relationship between occupational exposure to diesel emissions and lung cancer risk

Möhner

Wendt

2017

Critical Reviews in Toxicology

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“…To account for confounders, potential risk factors (age, gender, and educational and occupational level) with p < 0.25 in bivariate analysis were further assessed with a multivariable logistic regression analysis according to the method suggested by Bursac et al [15]. We assessed for multicollinearity among the independent variables included in the multivariable analysis (age, BMI [as a continuous variable], and diastolic and systolic blood pressures [BP]) using the variance inflation factor [16]. The highest variance inflation factor (i.e., 2.4) was noted between age (as the dependent variable) and systolic and diastolic BP (as independent variables), and BMI (as the dependent variable) and systolic and diastolic BP in the independent variable list.…”

Section: Methodsmentioning

confidence: 99%

Factors Associated with the Prevalence of Cognitive Impairment in a Rural Elderly Cameroonian Population: A Community-Based Study in Sub-Saharan Africa

Tianyi

Agbor²,

Njamnshi

et al. 2019

Dement Geriatr Cogn Disord

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Background/Aims: With rising elderly populations, age-related health problems such as cognitive impairment and dementia are major public health concerns. We sought to assess the prevalence of cognitive impairment and associated factors in rural elderly Cameroonians. Methods: The Mini Mental State Examination was used to assess the cognitive function of participants randomly recruited during a house-to-house survey of the Batibo Health District. Results: The prevalence of cognitive impairment in our study was 33.3%. Increasing age, female gender, being single, a lack of formal education, and higher systolic blood pressure values were significantly and independently associated with cognitive impairment. Conclusion: The identification of modifiable factors would inform evidence-based policy to decrease the health and social burdens of cognitive impairment and dementia in the elderly in rural Cameroon.

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“…Model 3 consisted of sociodemographic, behavioural and biological factors including HIV, and number of pregnancies (only in female model). Multicollinearity was assessed using the Variance Inflation Factor (VIF) [34]. In general, a VIF ≥ 5 suggests multicollinearity between variables [35].…”

Section: Methodsmentioning

confidence: 99%

Determinants of body mass index by gender in the Dikgale Health and Demographic Surveillance System site, South Africa

Mashinya

Alberts

Cook

et al. 2018

Global Health Action

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Background: The study was conducted in the Dikgale Health and Demographic Surveillance System (DHDSS) site where we have observed increasing obesity levels, particularly in women, despite evidence of high physical activity (PA) and a relatively low daily energy intake. Objective: This study aimed to assess the socio-demographic, behavioural and biological determinants of body mass index (BMI) in adult residents permanently residing in the DHDSS. Methods: A cross-sectional study was conducted in which socio-demographic, behavioural and biological characteristics from 1143 participants (aged 40–60 years) were collected using a paper questionnaire and standard anthropometric measures. Human immunodeficiency virus (HIV) testing was performed on all participants except those who indicated that they had tested positive. Chi-square and Mann-Whitney tests were used to analyze categorical and continuous variables, respectively, while hierarchical multivariate regression was used to analyze predictors of BMI. Results: The median age of women and men was 51 (46–56) and 50 (45–55) years, respectively. The prevalence of overweight-obesity was 76% in women and 21% in men. A significant negative association of BMI with HIV and smoking and a significant positive association with socio-economic status (SES) was observed in both sexes. In women, BMI was negatively associated with sleep duration (p = 0.015) and age (p = 0.012), but positively associated with sugar-sweetened beverages (SSBs) (p = 0.08). In men, BMI was negatively associated with alcohol use (p = 0.016) and positively associated with being married (p < 0.001). PA was not associated with BMI in either sexes. Full models explained 9.2% and 20% of the variance in BMI in women and men, respectively. Conclusion: BMI in DHDSS adults is not associated with physical inactivity but is associated wealth, marital status, sleep, smoking, alcohol use, and HIV status. Future studies should explore the contribution of nutrition, stunting, psycho-social and genetic factors to overweight and obesity in DHDSS.

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Multicollinearity in Regression Analyses Conducted in Epidemiologic Studies

Cited by 754 publications

References 29 publications

A critical review of the relationship between occupational exposure to diesel emissions and lung cancer risk

A critical review of the relationship between occupational exposure to diesel emissions and lung cancer risk

Factors Associated with the Prevalence of Cognitive Impairment in a Rural Elderly Cameroonian Population: A Community-Based Study in Sub-Saharan Africa

Determinants of body mass index by gender in the Dikgale Health and Demographic Surveillance System site, South Africa

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