Literature DB >> 23213699

[Multilevel model analysis on the relevant factors influencing the total amount of drinking water consumed daily by Beijing residents].

Jinhui Zhao1, Jianrong Wei, Huajie Chen, Yumin Liu, Tiantian Li, Qinghua Sun, Qiaolan Liu.   

Abstract

OBJECTIVE: To investigate the influencing factors for daily water intake of Beijing residents.
METHODS: A multi-stage sampling method was constructed to interview 270 Beijing residents in the winter of 2009 and in the summer of 2010 by using a questionnaire to collect data on daily drinking water consumption. Multilevel models were used to analyze the variation and influencing factors for the amount of water intake.
RESULTS: Multilevel model results showed that the average daily water intake of residents living in different villages or neighborhood committees was statistically significant (sigma2 mu0 = = 0.030 (0.009), P < 0.05). The individual variation in the same village or neighborhood committee was also significant (sigma2 e0 = 0.157 (0.010), P < 0.05). Season, gender, and body weight affected the daily water intake (P < 0.05). There were interaction between season and source of water supply.
CONCLUSION: The average daily water intake of residents was affected by several factors. In the health risk assessment of drinking water, it needs considering not only the individual characteristics but also the differences of villages/neighborhood committees and the seasonal variation.

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Year:  2012        PMID: 23213699

Source DB:  PubMed          Journal:  Wei Sheng Yan Jiu        ISSN: 1000-8020


  1 in total

1.  Risk factor analysis of insufficient fluid intake among urban adults in Wuxi, China: a classification and regression tree analysis.

Authors:  Hao Zheng; Juan Fei; Lan Zhang; Weijie Zhou; Zhen Ding; Wenbiao Hu
Journal:  BMC Public Health       Date:  2020-03-04       Impact factor: 3.295

  1 in total

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