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Claudio R. Nigg, PhD - Society of Behavioral Medicine

Claudio R. Nigg, PhD - Society of Behavioral Medicine

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Interrelationships Across Three<br />

Health Behaviors:<br />

Theory and Research<br />

Sonia Lippke, <strong>PhD</strong> (Free University Berlin, Germany), &<br />

<strong>Claudio</strong> R. <strong>Nigg</strong>, <strong>PhD</strong> (University <strong>of</strong> Hawaii-Manoa, USA),<br />

Jason E. Maddock, <strong>PhD</strong> (University <strong>of</strong> Hawaii-Manoa, USA)<br />

Contact: cnigg@hawaii.edu<br />

Symposium: Developing Multiple Risk Factor Interventions<br />

<strong>Society</strong> <strong>of</strong> <strong>Behavioral</strong> <strong>Medicine</strong>, Seattle, April 9, 2010<br />

Support: Hawaii State Department <strong>of</strong> Health Tobacco Settlement Special Fund &<br />

a travel grant by the German Research Foundation<br />

(Deutsche Forschungsgemeinschaft, DFG).


Rationale<br />

Non-smoking, healthy nutrition and<br />

physical activity (PA) - core factors <strong>of</strong> a<br />

healthy lifestyle (Mokdad et al., 2004).<br />

Populations with multiple behavior risk<br />

factors:<br />

– ↑ chronic disease & premature death compared<br />

single or no behavioral risk factors, and<br />

– account for a disproportionate percentage <strong>of</strong><br />

health care costs


Rationale<br />

Multiple health behavior theory is<br />

developing (Noar et al., 2008)<br />

Inform interventions<br />

– may yield ↑ benefit for prevention,<br />

rehabilitation, disease management, and ↓<br />

health care costs<br />

Therefore, we need to know more about<br />

healthy lifestyle patterns and, in particular,<br />

about their mechanisms (Prochaska et al.,<br />

2008)


Transfer Theory<br />

Transfer - history in teaching and learning<br />

(Barnett & Ceci, 2002)<br />

Transferring depends on dimensions, e.g.,<br />

content and context (Barnett & Ceci, 2002)<br />

Some aspects same in different domains<br />

– intending, planning, and overcoming<br />

temptations<br />

Other aspects might be unique for each<br />

behavior<br />

– such as the concrete “how”


Transfer Theory - example


Compensation Theory<br />

Based on the ideas <strong>of</strong> the<br />

Compensatory Health Belief Model<br />

(Knauper et al 2004)<br />

People who perform a risk behavior<br />

may compensate by performing a<br />

health behavior


Compensation Theory -<br />

Example


Purpose<br />

To see if people transfer or<br />

compensate health behaviors<br />

– As evidenced by positive or negative<br />

correlations<br />

To investigate if smoking moderates<br />

transfer or compensation effects<br />

– As smoking has been identified as a<br />

gateway drug (Biederman et al., 2007;<br />

<strong>Nigg</strong> et al., 2009)


Participants<br />

N = 3,519; 60.3% female;<br />

– 34.2% White,<br />

– 19% Japanese,<br />

– 17.9% Native Hawaiian/Part Hawaiian,<br />

– 9.4% Filipinos, and<br />

– 19.4% “Other/Mixed Race.”<br />

Mean age = 46.31, SD = 16.31;<br />

4.7% < high school, 28% high school degree,<br />

27.5% some college, 39.4% graduated college;<br />

BMI = 25.68, SD = 5.27.<br />

– 2.9% underweight (BMI < 18);<br />

– 47.3% normal weight (BMI = 18-24);<br />

– 30.1% overweight (BMI = 25-30);<br />

– 16.3% obese (BMI = 30+).


Procedures<br />

Random digit dialing<br />

Trained interviewers, using CATI<br />

conducted a 20-minute survey<br />

Randomization within household - person<br />

>18 who had the last birthday<br />

UH IRB approved, phone consent<br />

Assessed stage <strong>of</strong> change<br />

– PA, fruit and vegetable consumption, and<br />

smoking


Stage Prevalence<br />

%<br />

60<br />

50<br />

40<br />

30<br />

20<br />

10<br />

0<br />

PC C PR A M<br />

Stage<br />

Note: 61/9% never smoked; percentages may not add<br />

to 100% due to missing data<br />

PA<br />

FV<br />

Smoking


Non-parametric correlations<br />

between behaviors<br />

0.2<br />

Correlations<br />

0.16<br />

0.12<br />

0.08<br />

0.04<br />

0<br />

PA-Nut PA-Tob Nut-Tob<br />

Behavior Pairs<br />

Note: all p’s


Non-parametric correlations: PA &<br />

nutrition by smoking stages and neversmokers<br />

0.4<br />

0.35<br />

p=.02<br />

Correlations<br />

0.3<br />

0.25<br />

0.2<br />

0.15<br />

0.1<br />

0.05<br />

p=.06<br />

p=.02<br />

ns<br />

p


Discussion –<br />

Support for Transfer<br />

PA, nutrition, and tobacco smoking<br />

are interrelated<br />

PA & nutrition ↑ correlated than<br />

smoking & nutrition or smoking &<br />

exercise<br />

– PA and nutrition are preventive<br />

behaviors and are adopted<br />

– Smoking is a risk behavior which needs<br />

to be reduced


Discussion – Support for<br />

Moderation <strong>of</strong> Transfer<br />

Ex-smokers - ↑ correlations <strong>of</strong> nutrition &<br />

PA than never-smokers<br />

– Transfer: Individuals who quit smoking are<br />

more likely to eat healthy if they also do PA<br />

Surprisingly, some current-smokers (e.g.<br />

contemplators) also ↑ interrelation <strong>of</strong><br />

nutrition & PA than never-smokers<br />

– Some current-smokers may have a history <strong>of</strong><br />

quit attempts


Limitations<br />

Cross-sectional - which behavior<br />

changed first?<br />

Conclusions<br />

– based on theoretical assumptions<br />

– based on stage comparisons, not stage<br />

transitions<br />

Prospective and experimental<br />

studies recommended


So…<br />

“Don’t drink, don’t smoke…”<br />

~Adam Ant

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