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Correction: Seven-year longitudinal change in risk factors for non-communicable diseases in rural Kerala, India: The WHO STEPS approach.

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Abstract

[This corrects the article DOI: 10.1371/journal.pone.0178949.].

Entities:  

Year:  2017        PMID: 28796835      PMCID: PMC5552159          DOI: 10.1371/journal.pone.0183379

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Table 3 appears incorrectly. Please see the complete, correct Table 3 here. The publisher apologizes for the error.
Table 3

Age-adjusted change in the prevalence of risk factors for non-communicable diseases in the study cohort.

NBaseline (2003)NFollow-up (2010)Age-adjusted odds ratioa (95% CI)p value
Current smokingbMen Women18922165 (34.4)018922163 (33.3)00.8 (0.6 to 1.1)—0.148 —
Current smokeless tobacco usecMen Women18922135 (18.5)12 (5.4)18922152 (27.5)20 (9.1)1.6 (1.1 to 2.2)1.2 (0.7 to 2.3)0.012 0.546
Alcohol usedMen Women18922188 (46.6)5 (2.3)189221128 (67.7)23 (10.4)2.6 (1.9 to 3.5)4.8 (1.8 to 12.6)<0.001 0.001
No daily intake of fruits and vegetables410369 (90.0)410355 (86.6)0.7 (0.5 to 1.1)0.127
Physical inactivitye410337 (82.2)410372 (90.7)2.0 (1.3 to 3.0)0.002
Overweightf41073 (17.8)41067 (16.3)0.9 (0.6 to 1.2)0.440
Obesityg41097 (23.7)410172 (42.0)2.2 (1.7 to 2.8)<0.001
Central obesityh410204 (49.8)410276 (67.3)1.9 (1.5 to 2.3)<0.001
Hypertensioni410150 (36.6)410177 (43.2)0.9 (0.7 to 1.2)0.572

CI; confidence interval.

Data are n (%) or odds ratio (95% CI).

a Estimated using the generalized estimating equation by including age as a covariate in a binomial logistic regression model with an exchangeable working correlation matrix and robust standard errors.

b Smoked any tobacco products in the last 30 days [2].

c Used any smokeless tobacco products in the last 30 days [2].

d Drank at least one standard drink of alcohol (30 ml of spirits, 285 ml of beer or 120 ml of wine) in the last 12 months [2].

e No history of moderate or vigorous physical activity at work and leisure, and do not walk or bicycle for travel [2].

f Body mass index ≥23 kg/m2 but <25 kg/m2 according to the World Health Organization (WHO) Asia Pacific guidelines [14].

g Body mass index ≥25 kg/m2 according to the WHO Asia Pacific guidelines [14].

h Waist circumference ≥90 cm for men and ≥80 cm for women according to the WHO Asia Pacific guidelines [14].

i Systolic blood pressure ≥140 mmHg and/or diastolic blood pressure ≥90 mmHg and/or current use of anti-hypertensive medications according to the Joint National committee 7 criteria [15].

CI; confidence interval. Data are n (%) or odds ratio (95% CI). a Estimated using the generalized estimating equation by including age as a covariate in a binomial logistic regression model with an exchangeable working correlation matrix and robust standard errors. b Smoked any tobacco products in the last 30 days [2]. c Used any smokeless tobacco products in the last 30 days [2]. d Drank at least one standard drink of alcohol (30 ml of spirits, 285 ml of beer or 120 ml of wine) in the last 12 months [2]. e No history of moderate or vigorous physical activity at work and leisure, and do not walk or bicycle for travel [2]. f Body mass index ≥23 kg/m2 but <25 kg/m2 according to the World Health Organization (WHO) Asia Pacific guidelines [14]. g Body mass index ≥25 kg/m2 according to the WHO Asia Pacific guidelines [14]. h Waist circumference ≥90 cm for men and ≥80 cm for women according to the WHO Asia Pacific guidelines [14]. i Systolic blood pressure ≥140 mmHg and/or diastolic blood pressure ≥90 mmHg and/or current use of anti-hypertensive medications according to the Joint National committee 7 criteria [15].
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1.  Seven-year longitudinal change in risk factors for non-communicable diseases in rural Kerala, India: The WHO STEPS approach.

Authors:  Thirunavukkarasu Sathish; Srinivasan Kannan; Sankara P Sarma; Oliver Razum; Odile Sauzet; Kavumpurathu Raman Thankappan
Journal:  PLoS One       Date:  2017-06-09       Impact factor: 3.240

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