Literature DB >> 27649228

Correction: Dong, F.; et al. Disparities in Hypertension Prevalence, Awareness, Treatment and Control between Bouyei and Han: Results from a Bi-Ethnic Health Survey in Developing Regions from South China. Int. J. Environ. Res. Public Health 2016 13, 233.

Fen Dong1, Dingming Wang2, Li Pan3, Yangwen Yu4, Ke Wang5, Ling Li6, Li Wang7, Tao Liu8, Xianjia Zeng9, Liangxian Sun10, Guangjin Zhu11, Kui Feng12, Biao Zhang13, Ke Xu14, Xinglong Pang15, Ting Chen16, Hui Pan17, Jin Ma18, Yong Zhong19, Bo Ping20, Guangliang Shan21.   

Abstract

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Year:  2016        PMID: 27649228      PMCID: PMC5036755          DOI: 10.3390/ijerph13090922

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


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The authors wish to add the following amendments and corrections to their paper published in the International Journal of Environmental Research and Public Health [1]. Page 7, Section 3.3. Associated factors of hypertension: the odds ratio (OR) and 95% confidence interval (CI) for non/ex-drinkers and light drinkers are not consistent with the correspondent numbers in Table 3. The correct OR and 95% CI should be:
Table 3

Results of Multilevel Logistic Models for Hypertension in Bouyei and Han.

VariablesBouyeiHan
OR (95% CI)pOR (95% CI)p
Location (Ref = rural)0.99 (0.63, 1.56)0.96471.08 (0.75, 1.56)0.6750
Age (Ref ≤ 50 years)5.23 (4.11, 6.65)<0.00014.93 (3.91, 6.22)<0.0001
Education (Ref = low)
High0.79 (0.50, 1.24)0.29850.64 (0.46, 0.90)0.0096
Medium0.85 (0.66, 1.11)0.22920.74 (0.57, 0.96)0.0229
Insurance (Ref = no)0.75 (0.26, 2.15)0.59632.18 (0.89, 5.38)0.0900
Family history (Ref = yes)0.89 (0.64, 1.24)0.47950.57 (0.46, 0.71)<0.0001
Physical activity (Ref = low)
High1.01 (0.79, 1.29)0.95141.17 (0.92, 1.48)0.1953
Moderate0.84 (0.56, 1.26)0.38991.00 (0.75, 1.33)0.9723
Alcohol drinker (Ref = harmful)
Non/ex drinker0.55 (0.42, 0.72)<0.00010.75 (0.54, 1.03)0.0805
Light drinker0.56 (0.41, 0.77)0.00040.77 (0.54, 1.08)0.1315
Smoking (Ref = ever)1.00 (0.78, 1.28)0.98860.89 (0.70, 1.12)0.3171
Central obesity (Ref = no)1.96 (1.49, 2.58)<0.00012.31 (1.87, 2.86)<0.0001
Diabetes (Ref = no) a1.81 (1.00, 3.27)0.04892.08 (1.42, 3.04)0.0002
Dyslipidemia (Ref = no) b1.71 (1.33, 2.21)<0.00011.32 (1.07, 1.65)0.0117
Hyperuricemia (Ref = no)2.19 (1.57, 3.05)<0.00011.98 (1.49, 2.63)<0.0001

Ref indicates reference. All the variables were included as fixed effects in multilevel models; a Diabetes was defined as fasting glucose ≥ 7.0 mmol/L or reported diagnosis; b Dyslipidemia was defined as TC ≥ 6.22 mmol/L, LDL ≥ 4.14 mmol/L, TG ≥ 2.26 mmol/L, or HDL < 1.04 mmol/L.

3.3. Associated Factors of Hypertension

In multilevel logistic analyses of risk factors of hypertension, older age and comorbidities (central obesity, diabetes, dyslipidemia, or hyperuricemia) were associated with an increased risk of hypertension in both ethnic groups. In the Bouyei, non/ex-drinkers or light drinkers experienced significantly reduced risk than the harmful drinkers (OR 0.55, 95% CI 0.42–0.72 for non/ex-drinkers; and OR 0.56, 95% CI 0.41–0.77 for light drinkers). In the Han, better education and having no family history of hypertension were observed to be associated with a decreased risk of hypertension (Table 3). Results of Multilevel Logistic Models for Hypertension in Bouyei and Han. Ref indicates reference. All the variables were included as fixed effects in multilevel models; a Diabetes was defined as fasting glucose ≥ 7.0 mmol/L or reported diagnosis; b Dyslipidemia was defined as TC ≥ 6.22 mmol/L, LDL ≥ 4.14 mmol/L, TG ≥ 2.26 mmol/L, or HDL < 1.04 mmol/L. The authors would like to apologize for any inconvenience caused to the readers by these changes.
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1.  Disparities in Hypertension Prevalence, Awareness, Treatment and Control between Bouyei and Han: Results from a Bi-Ethnic Health Survey in Developing Regions from South China.

Authors:  Fen Dong; Dingming Wang; Li Pan; Yangwen Yu; Ke Wang; Ling Li; Li Wang; Tao Liu; Xianjia Zeng; Liangxian Sun; Guangjin Zhu; Kui Feng; Biao Zhang; Ke Xu; Xinglong Pang; Ting Chen; Hui Pan; Jin Ma; Yong Zhong; Bo Ping; Guangliang Shan
Journal:  Int J Environ Res Public Health       Date:  2016-02-19       Impact factor: 3.390

  1 in total

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