Evidence map›Paper›PMID 32347195›Full record

ArticlePublic health nutrition2021

Estimation of salt intake assessed by 24-h urinary sodium level among adults speaking different dialects from the Chaoshan region of southern China.

Fen Cai, Wen-Ya Dong, Jia-Xin Jiang, Xiao-Li Chen, Yue Wang, Chang-Yu Deng, Qing-Ying Zhang

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Article in Public health nutrition, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 56% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Fen Cai *Department of Nosocomial Infection Management, Cancer Hospital of Shantou University Medical College, Shantou, Guangdong, China.
Wen-Ya Dong *Department of Preventive Medicine, Shantou University Medical College, Shantou, Guangdong, China.
Jia-Xin JiangLianshang Town Health Hospital of Chenghai District, Shantou, Guangdong, China.
Xiao-Li ChenDepartment of Preventive Medicine, Shantou University Medical College, Shantou, Guangdong, China.
Yue WangDepartment of Preventive Medicine, Shantou University Medical College, Shantou, Guangdong, China.
Chang-Yu DengDepartment of Preventive Medicine, Shantou University Medical College, Shantou, Guangdong, China.
Qing-Ying ZhangDepartment of Preventive Medicine, Shantou University Medical College, Shantou, Guangdong, China.
Shantou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDietary salt intake may vary depending on different lifestyles. We aimed to estimate the different salt intakes and evaluate the knowledge and self-awareness about salt among people speaking the Teochew, Teochew-Hakka and Hakka dialects in the Chaoshan region of southern China.

designThe study followed a cluster sampling of residents in Chaoshan region. General characteristics, lifestyles, health status as well as knowledge and self-awareness related to salt intake were investigated using a questionnaire. Anthropometric variables as well as Na and K excretion in a 24-h urine collection were measured.

settingChaoshan region of China.

participantsFour hundred fifteen adults who spoke only one of these three dialects.

resultsThe salt intake of adults who spoke the Teochew, Teochew-Hakka and Hakka dialects was 7·19 (interquartile range (IQR) 5·29-10·17), 9·03 (IQR 6·62-11·54) and 10·12 (IQR 7·61-12·82) g/d, respectively, with significant differences between Teochew and Teochew-Hakka speakers and between Teochew and Hakka speakers (both P < 0·05). The Na:K ratio for adults who spoke the three dialects was 3·00 (IQR 2·00-4·11), 3·50 (IQR 2·64-4·82) and 4·52 (IQR 3·35-5·97), respectively, and differed significantly among the groups (all P < 0·05). Multiple linear regression analysis showed increased Na:K ratio associated with hypertension (β = 0·71, P = 0·043) in Hakka speakers. Knowledge and self-awareness about salt intake were poor in this population.

conclusionsSalt intake was closely related to lifestyles and was higher than the upper limit (5 g/d) recommended by the WHO in adults of Chaoshan, especially those speaking the Hakka dialect.

Indexed as

Feeding BehaviorSodium Chloride, DietaryAdultAwarenessChinaHumansLanguageSodium Chloride, Dietary24-h urinary collectionKnowledgeSalt intakeSelf-awarenessUrinary Na excretion

Identifiers

PMID32347195
PMCPMC10195506
OpenAlexW3018934793

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.