Evidence map›Paper›PMID 32344848›Full record

ArticleInternational journal of environmental research and public health2020

Urban Water Consumption Patterns in an Adult Population in Wuxi, China: A Regression Tree Analysis.

Hao Zheng, Weijie Zhou, Lan Zhang, Xiaobo Li, Jian Cheng, Zhen Ding, Yan Xu, Wenbiao Hu

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.5field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 2 countries.

Hao ZhengDepartment of Environmental Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
Weijie ZhouDepartment of Environmental Health, Wuxi Center for Disease Control and Prevention, Wuxi 214023, China.
Lan ZhangNational Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China.
Xiaobo LiSchool of Public Health, Southeast University, Nanjing 210009, China.
Jian ChengSchool of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland 4059, Australia.
Zhen DingDepartment of Environmental Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
Yan XuDepartment of Environmental Health, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing 210009, China.
Wenbiao HuSchool of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland 4059, Australia.
Jiangsu Provincial Center for Disease Control and Prevention · CNQueensland University of Technology · AUChinese Center For Disease Control and Prevention · CNSoutheast University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding water intake variation is crucial for assessing human exposure to water pollutants. The correlation between water intake and demographic factors warrants further exploration. A cross-sectional study was conducted to estimate urban water consumption and its associated factors among adults in Wuxi, China, in 2015. The water consumption information was obtained by a 24-h self-report diary over seven consecutive days. A classification and regression tree (CART) analysis was applied to detect how water consumption varied with the demographic variables. Finally, a total of 1188 adults (18-87 years old) were included. The results demonstrated that the median water consumption of the adults was 1525 mL/day in summer and 1217 mL/day in winter. The results of the CART analysis demonstrated that body mass index (BMI) and age were the leading factors that were associated with water consumption in summer and winter, respectively. The water consumption threshold of BMI for men differed from women (23 kg/m

Indexed as

DrinkingWater SupplyAdolescentAdultAgedAged, 80 and overBody Mass IndexChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedRegression AnalysisUrban PopulationYoung AdultadultsCARTexposure assessmentwater consumptionwater intake

Identifiers

PMID32344848
PMCPMC7246778
OpenAlexW3019794011

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.