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Literature DB >> 35725442

Correction: How to improve public health literacy based on polycentric public goods theory: preferences of the Chinese general population.

Yaxin Gao^1,2,3, Li Zhu¹, Zi Jun Mao^4,5.

Abstract

Entities: Chemical

Year: 2022 PMID： 35725442 PMCID： PMC9208190 DOI： 10.1186/s12889-022-13417-0

Source DB: PubMed Journal: BMC Public Health ISSN： 1471-2458 Impact factor: 4.135

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Correction: BMC Public Health 22, 921 (2022) https://doi.org/10.1186/s12889-022-13272-z In the original publication of this [1] article table 8 and 9 were identical. The article has been updated with the correct version of Table 8. The correct Table 8 is also available in this correction article.

Table 8

Correlation analysis of health literacy contents

	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20
1.Gender	1
2.Age	-.049^**	1
3.Profession	.158^**	.084^**	1
4.Education	-.017	-.341^**	-.238^**	1
5.Personal Income	-.182^**	-.022	-.265^**	.336^**	1
6.Current residence	-.010	-.033	.053^*	-.233^**	-.184^**	1
7.First aid knowledge	.045^*	-.042^*	.011	.084^**	.026	-.058^**	1
8.Cosmetic surgery	.153^**	-.183^**	-.109^**	.136^**	.039	-.019	.284^**	1
9.Nutrition	.119^**	-.005	.048^*	.021	.002	-.051^*	.627^**	.256^**	1
10.Tumor	.095^*	-.088^**	-.013	.095^**	.044^**	-.044^*	.593^**	.336^**	.576^**	1
11.Metabolic disease	.051^**	.001	.005	.059^**	.029	-.057^**	.580^**	.312^**	.564^**	.712^**	1
12.Cardiovascular disease	.052^**	.064^**	.015	.047^*	.027	-.071^**	.589^**	.287^**	.599^**	.705^**	.868^**	1
13.Mental health	.122^**	-.042	.005	.047^*	-.010	-.055^*	.591^**	.322^**	.620^**	.630^**	.708^**	.702^**	1
14.Children’ health	.105^**	-.073^**	.029	-.018	-.008	.029	.465^**	.279^**	.469^**	.488^**	.528^**	.528^**	.581^**	1
15.Facial features	.103^**	-.046^*	-.007	.055^*	-.003	-.032	.507^**	.384^**	.556^**	.566^**	.608^**	.600^**	.669^**	.498^**	1
16.Reproductive health	.045^*	-.133^**	-.013	.074^*	.018	-.032	.483^**	.397^**	.482^**	.616^**	.614^**	.604^**	.618^**	.539^**	.688^**	1
17.Medical technology	.007	-.095^**	-.064^**	.079^*	.035	-.009	.481^**	.411^**	.462^**	.603^**	.610^**	.615^**	.604^**	.493^**	.643^**	.705^**	1
18.TCM	.083^**	.004	-.015	.030	.006	-.015	.493^**	.369^**	.509^**	.553^**	.608^**	.603^**	.607^**	.471^**	.629^**	.628^**	.686^**	1
19.Infectious disease	.057^**	-.011	.018	.034	.015	-.046^*	.549^**	.309^**	.533^**	.646^**	.662^**	.678^**	.668^**	.523^**	.640^**	.650^**	.667^**	.665^**	1
20.Venereal disease	.036	-.106^**	-.017	.037	-.018	.007	.482^**	.367^**	.443^**	.576^**	.566^**	.586^**	.609^**	.519^**	.611^**	.676^**	.693^**	.641^**	.731^**	1

TCM Traditional Chinese Medicine

P<0.01; P<0.05

Correlation analysis of health literacy contents TCM Traditional Chinese Medicine P<0.01; P<0.05

1 in total

1. How to improve public health literacy based on polycentric public goods theory: preferences of the Chinese general population.

Authors: Yaxin Gao; Li Zhu; Zi Jun Mao
Journal: BMC Public Health Date: 2022-05-09 Impact factor: 4.135

1 in total