Literature DB >> 34983450

Correction to: Modeling mortality risk effects of cigarettes and smokeless tobacco: results from the national health interview survey linked mortality file data.

Esther Salazar1, Chunfeng Ren2, Brian L Rostron2, Ghideon Solomon2.   

Abstract

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Year:  2022        PMID: 34983450      PMCID: PMC8729093          DOI: 10.1186/s12889-021-12242-1

Source DB:  PubMed          Journal:  BMC Public Health        ISSN: 1471-2458            Impact factor:   3.295


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Correction to: BMC Public Health 21, 1773 (2021) https://doi.org/10.1186/s12889-021-11,801-w It was highlighted that the in the original article [1] in Table 1 and Table S3, the labels for the "Poverty level" variable (Below 100% threshold, At or above 100% threshold) were presented in the incorrect order. That is, label "At or above 100% threshold" should have appeared first. Also, in the Results section, the following sentence should have appeared as: "Exclusive current SLT users, along with exclusive current and former smokers, were more likely to be non-Hispanic white and have less education (less than high school or high school diploma) and higher poverty level (at or above 100% poverty threshold)." The original article has been updated.
Table 1

Demographic and socioeconomic characteristics (weighted estimates)a for NHIS participantsb aged 35+ at the time of interview

VariablesCurrent SmokersFormer SmokersNever SmokersNever Tobacco UsersAll
Current SLT UsersFormerSLT UsersNever SLT UsersCurrent SLT UsersFormer SLT UsersNeverSLT UsersCurrent SLT UsersFormer SLT Users
Mean age in years48.7548.9951.4156.2957.5360.1953.6850.5154.9755.23
Sex %
 Male79.1175.2537.5692.0879.6838.2375.8177.1032.5336.25
 female20.8924.7562.447.9220.3261.7724.1922.9067.4763.75
Race/ethnicity %
 Hispanic3.165.189.241.305.629.152.144.8414.0011.85
 Non-Hispanic white85.3880.9573.5188.2585.5479.2877.3582.2367.4771.37
 Non-Hispanic black9.8011.3313.57.807.588.3918.0011.1012.0011.56
 Non-Hispanic other1.662.543.742.651.273.182.521.836.545.23
Education %
 Less than high school31.8523.0522.3133.8223.6616.7136.7614.1816.1717.70
 High school diploma35.8840.9638.6432.4232.7530.3329.9323.0626.8329.80
 Some college and higher32.2835.7538.533.543.4852.4633.0462.4456.3651.91
 Missing0.000.240.560.260.110.500.280.320.640.58
Poverty level %
 At or above 100% threshold76.9476.9673.0578.7783.8979.2972.3282.3977.9977.39
 Below 100% threshold13.0316.1114.0812.136.397.0114.637.388.629.39
 Missing10.026.9312.879.19.7313.713.0510.2313.3913.22
Body mass index (kg/m2) %
 Underweight (< 18.5)1.602.582.960.960.461.221.040.501.531.71
 Normal weight (18.5–24.9)30.5831.0640.9421.3921.5633.121.6119.6634.8435.19
 Overweight (25.0–29.9)38.5641.3132.1445.7642.7735.5739.6443.3134.1434.35
 Obese (30+)27.2724.0021.2530.6833.2626.8535.4935.6325.9425.49
 Missing1.991.052.721.211.953.272.220.893.553.27

a Additional file 1: Table S3, shows the 95% CIs for these weighted estimates

b Excluding participants with missing tobacco-use status, poly-users, and users of other tobacco products including pipe, hookah, e-cigarettes, bidi, and cigars. Survey years: 1987, 1991, 1992, 1994, 1998, 2000, 2005, 2010, and 2012–2014

Demographic and socioeconomic characteristics (weighted estimates)a for NHIS participantsb aged 35+ at the time of interview a Additional file 1: Table S3, shows the 95% CIs for these weighted estimates b Excluding participants with missing tobacco-use status, poly-users, and users of other tobacco products including pipe, hookah, e-cigarettes, bidi, and cigars. Survey years: 1987, 1991, 1992, 1994, 1998, 2000, 2005, 2010, and 2012–2014 Additional file 1: Table S3. Demographic and socioeconomic characteristics (weighted estimates and 95% CIs) for NHIS participants aged 35+ at the time of interview.a
  1 in total

1.  Modeling mortality risk effects of cigarettes and smokeless tobacco: results from the National Health Interview Survey Linked Mortality File Data.

Authors:  Esther Salazar; Chunfeng Ren; Brian L Rostron; Ghideon Solomon
Journal:  BMC Public Health       Date:  2021-09-29       Impact factor: 3.295

  1 in total

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