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The state of the art and future opportunities for using longitudinal n-of-1 methods in health behaviour research: a systematic literature overview

  • Suzanne McDonald
  • , Francis Quinn
  • , Rute Vieira
  • , Nicola O’Brien
  • , Martin White
  • , Derek W. Johnston
  • , Falko F. Sniehotta

Research output: Contribution to journal › Review Article › Research › peer-review

Abstract

n-of-1 studies test hypotheses within individuals based on repeated measurement of variables within the individual over time. Intra-individual effects may differ from those found in between-participant studies. Using examples from a systematic review of n-of-1 studies in health behaviour research, this article provides a state of the art overview of the use of n-of-1 methods, organised according to key methodological considerations related to n-of-1 design and analysis, and describes future challenges and opportunities. A comprehensive search strategy (PROSPERO:CRD42014007258) was used to identify articles published between 2000 and 2016, reporting observational or interventional n-of-1 studies with health behaviour outcomes. Thirty-nine articles were identified which reported on n-of-1 observational designs and a range of n-of-1 interventional designs, including AB, ABA, ABABA, alternating treatments, n-of-1 randomised controlled trial, multiple baseline and changing criterion designs. Behaviours measured included treatment adherence, physical activity, drug/alcohol use, sleep, smoking and eating behaviour. Descriptive, visual or statistical analyses were used. We identify scope and opportunities for using n-of-1 methods to answer key questions in health behaviour research. n-of-1 methods provide the tools needed to help advance theoretical knowledge and personalise/tailor health behaviour interventions to individuals.

Original languageEnglish
Pages (from-to)307-323
Number of pages17
JournalHealth Psychology Review
Volume11
Issue number4
DOIs
Publication statusPublished - 2 Oct 2017
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • health behaviour
  • idiographic methods
  • n-of-1 methods
  • single-case

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