Research Article
A Longitudinal Examination of the Interrelationship of Multiple Health Behaviors

https://doi.org/10.1016/j.amepre.2014.04.019Get rights and content

Background

Evaluating the interrelationship of health behaviors could assist in the development of effective public health interventions. Furthermore, the ability to identify cognitive mediators that may influence multiple behavioral changes requires evaluation.

Purpose

To evaluate covariation among health behaviors, specifically alcohol consumption, leisure-time physical activity, and smoking, and examine whether mastery acts as a mediating social-cognitive mechanism that facilitates multiple health behavior change in a longitudinal analysis.

Methods

In 2010, secondary data analysis was conducted on the first seven cycles of the Canadian National Population Health Survey. Data collection began in 1994–1995 and has continued biennially. At the time of this analysis, only seven cycles of data (2006–2007) were available. Parallel process growth curve models were used to analyze covariation between health behaviors and the potential mediating effects of perceived mastery.

Results

Increases in leisure-time physical activity were associated with reductions in tobacco use, whereas declines in alcohol consumption were associated with decreases in tobacco use. Covariation between alcohol consumption and leisure-time physical activity did not reach statistical significance. For the most part, mastery was unsuccessful in mediating the interrelationship of multiple behavioral changes.

Conclusions

Health behaviors are not independent but rather interrelated. In order to optimize limited prevention resources, these results suggest that population-level intervention efforts targeting multiple modifiable behavioral risk factors may not need to occur simultaneously.

Introduction

It has been estimated that a substantial proportion of the American1, 2, 3 and Canadian4 general population participate in multiple unhealthy behaviors, with physical inactivity, smoking, and excessive alcohol consumption being among the most prevalent.2, 3, 4 Notwithstanding the challenges associated with implementing multiple health behavior change strategies, health professionals have acknowledged that such interventions are advantageous.5

Their benefits include a greater impact on the occurrence and severity of morbidity and mortality,5, 6 the opportunity for a choice-based approach in changing health behaviors,7 conservation of the health professional’s time and resources while minimizing healthcare expenditures,5, 8 and a greater relevance to real-world circumstances.5 Therefore, multiple health behavior research has garnered increased attention in relation to planning future public health interventions.9, 10

Although multiple health behavior change may represent the future of public health strategies and policies,11, 12 several unanswered questions remain. As unhealthy behaviors tend to cluster,10, 13, 14 evaluating the interrelationship of health behaviors could assist in the development of effective and cost-efficient public health interventions.6, 12, 15 Although evaluated for some time, the concept of covariation requires further examination, as much remains unknown.16

Furthermore, although the literature has identified social-cognitive mechanisms (e.g., self-efficacy) that may influence single behavioral change,15, 17 the potential mediating role that these mechanisms may have on multiple behavioral changes is not known.15 For instance, mastery refers to the perception that individuals have the ability to control important events that occur throughout their life.18 Although mastery has been shown to be associated with smoking,19, 20 alcohol dependence,21 and physical activity,22 the impact of mastery on the covariation of health behaviors has yet to be examined.

The current study will attempt to provide greater insight into the interrelationship of multiple health behaviors by (1) evaluating covariation among health behaviors, alcohol consumption, leisure-time physical activity, and smoking and (2) examining whether mastery acts as a mediating social-cognitive mechanism that facilitates changes among multiple health behaviors.

Previous observational studies have incorporated several methodologic limitations that may have compromised their findings. Although cross-sectional studies23, 24, 25, 26, 27 provide valuable insight into the concept of covariation, they are unable to account for behavioral changes. Longitudinal studies are necessary to evaluate covariation.

Additional limitations of previous research include small or unrepresentative samples of the general population,23, 24, 25, 26, 28, 29, 30, 31, 32 the use of dichotomous or categorical outcome variables,28, 29, 31, 32, 33 and the inability to assess social-cognitive mechanisms that may mediate the adoption and maintenance of multiple health behaviors.23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33 The current study addresses these concerns by using a large, nationally representative sample of Canadians to assess the longitudinal trajectories of multiple behavioral changes and the potential mediating effects of mastery.

Section snippets

Methods

A detailed description of the Canadian longitudinal National Population Health Survey (NPHS) study design is presented elsewhere.34 Briefly, data collection for the first cycle began in 1994–1995 and has continued biennially for subsequent cycles. At the time of this analysis, only seven cycles of data (2006–2007) were available. The NPHS target population included Canadians residing in households throughout all ten provinces.

Excluded from the sampling frame were Canadians residing on Indian

Results

Weighted demographic characteristics for this Canadian sample are illustrated in Table 1. In 1994–1995, women comprised a slight majority of this sample. The average age of this sample was 41 years and the majority of Canadians (58.9%) were married or common law. Most Canadians (51.8%) had acquired at least some post-secondary school, and 15% of this Canadian sample was categorized as having high income adequacy. Over time, individuals had attained higher levels of education. Income adequacy

Discussion

Canadians demonstrate the capability to adopt or maintain significant favorable behavioral changes in leisure-time physical activity and tobacco use. Comparable longitudinal trends have been reported by others.41, 42, 43, 44 Alcohol consumption increased biennially by 0.03 beverages per day. Although each of these three behavioral trajectories reached statistical significance, one could argue that the estimated magnitudes of such behavioral changes were small. However, even small and attainable

Acknowledgments

The authors would like to thank Dr. Kristopher Preacher for his assistance in the interpretation of the findings of this analysis.

Dr. Cairney is supported through an endowed professorship provided by the Department of Family Medicine at McMaster University.

No financial disclosures were reported by the authors of this paper.

References (64)

  • R.A. Milligan et al.

    Health-related behaviours and psycho-social characteristics of 18 year-old Australians

    Soc Sci Med

    (1997)
  • W.R. Miller et al.

    Addictive behaviors and life problems before and after behavioral treatment of problem drinkers

    Addict Behav

    (1983)
  • L.J. Fine et al.

    Prevalence of multiple chronic disease risk factors. 2001 National Health Interview Survey

    Am J Prev Med

    (2004)
  • E.J. Coups et al.

    Physician screening for multiple behavioral health risk factors

    Am J Prev Med

    (2004)
  • J.E. Klein-Geltink et al.

    Multiple exposures to smoking, alcohol, physical inactivity and overweight: prevalences according to the Canadian Community Health Survey Cycle 1.1

    Chronic Dis Can

    (2006)
  • C.R. Nigg et al.

    Theory-comparison and multiple-behavior research: common themes advancing health behavior research

    Health Educ Res

    (2002)
  • H. de Vries et al.

    Clustering of diet, physical activity and smoking and a general willingness to change

    Psychol Health

    (2008)
  • N.P. Pronk et al.

    Addressing multiple behavioral risk factors in primary care. A synthesis of current knowledge and stakeholder dialogue sessions

    Am J Prev Med

    (2004)
  • A. Haveman-Nies et al.

    Dietary quality and lifestyle factors in relation to 10-year mortality in older Europeans: the SENECA study

    Am J Epidemiol

    (2002)
  • S.T. Leatherdale et al.

    A cross-sectional examination of modifiable risk factors for chronic disease among a nationally representative sample of youth: are Canadian students graduating high school with a failing grade for health?

    BMC Public Health

    (2013)
  • L. Gordon et al.

    A review of the cost-effectiveness of face-to-face behavioural interventions for smoking, physical activity, diet and alcohol

    Chronic Illn

    (2007)
  • B.C. Bock et al.

    Motivational readiness for change: diet, exercise, and smoking

    Am J Health Behav

    (1998)
  • M.G. Ory et al.

    The Behavior Change Consortium: setting the stage for a new century of health behavior-change research

    Health Educ Res

    (2002)
  • E.L. O’Hea et al.

    Stage of change movement across three health behaviors: the role of self-efficacy

    Am J Health Promot

    (2004)
  • L.I. Pearlin et al.

    The structure of coping

    J Health Soc Behav

    (1978)
  • K.A. O’Connell et al.

    Reversal theory’s mastery and sympathy states in smoking cessation

    Image J Nurs Sch

    (1995)
  • C.A. Prescott et al.

    Predictors of problem drinking and alcohol dependence in a population-based sample of female twins

    J Stud Alcohol

    (1997)
  • M. Sorensen et al.

    Exercise and diet interventions improve perceptions of self in middle-aged adults

    Scand J Med Sci Sports

    (1997)
  • R.G. Boyle et al.

    Stages of change for physical activity, diet, and smoking among HMO members with chronic conditions

    Am J Health Promot

    (1998)
  • N.A. Garrett et al.

    The relationship of stage of change for smoking cessation to stage of change for fruit and vegetable consumption and physical activity in a health plan population

    Am J Health Promot

    (2004)
  • S. Lippke et al.

    Health-promoting and health-risk behaviors: theory-driven analyses of multiple health behavior change in three international samples

    Int J Behav Med

    (2012)
  • J. Audrain-McGovern et al.

    Smoking progression and physical activity

    Cancer Epidemiol Biomarkers Prev

    (2003)
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