Predicting water consumption habits for seven arsenic-safe water options in Bangladesh

BMC Public Health. 2013 May 1:13:417. doi: 10.1186/1471-2458-13-417.

Abstract

Background: In Bangladesh, 20 million people are at the risk of developing arsenicosis because of excessive arsenic intake. Despite increased awareness, many of the implemented arsenic-safe water options are not being sufficiently used by the population. This study investigated the role of social-cognitive factors in explaining the habitual use of arsenic-safe water options.

Methods: Eight hundred seventy-two randomly selected households in six arsenic-affected districts of rural Bangladesh, which had access to an arsenic-safe water option, were interviewed using structured face-to-face interviews in November 2009. Habitual use of arsenic-safe water options, severity, vulnerability, affective and instrumental attitudes, injunctive and descriptive norms, self-efficacy, and coping planning were measured. The data were analyzed using multiple linear regressions.

Results: Linear regression revealed that self-efficacy (B = 0.42, SE = .03, p < .001), the instrumental attitude towards the safe water option (B = 0.24, SE = .04, p < .001), the affective attitude towards contaminated tube wells (B = -0.04, SE = .02, p = .024), vulnerability (B = -0.20, SE = .02, p < .001), as well as injunctive (B = 0.08, SE = 0.04, p = .049) and descriptive norms (B = 0.34, SE = .03, p < .001) primarily explained the habitual use of arsenic-safe water options (R2 = 0.688). This model proved highly generalizable to all seven arsenic-safe water options investigated, even though habitual use of single options were predicted on the basis of parameters estimated without these options.

Conclusions: This general model for the habitual use of arsenic-safe water options may prove useful to predict other water consumption habits. Behavior-change interventions are derived from the model to promote the habitual use of arsenic-safe water options.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Arsenic / analysis*
  • Bangladesh
  • Cross-Sectional Studies
  • Drinking Water / chemistry
  • Drinking Water / standards*
  • Drinking*
  • Female
  • Health Knowledge, Attitudes, Practice
  • Humans
  • Male
  • Middle Aged
  • Residence Characteristics
  • Risk Factors
  • Rural Population / statistics & numerical data
  • Safety / standards*
  • Self Efficacy
  • Socioeconomic Factors
  • Water Purification / methods
  • Water Supply / standards
  • Water Supply / statistics & numerical data*

Substances

  • Drinking Water
  • Arsenic