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healthy people 2020 - Society for Public Health Education

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thursday – saturday | november 4-6<br />

✯ Poster Abstracts ✯<br />

tion and Weight Status objectives 6 and 7 of <strong>Health</strong>y People <strong>2020</strong>. Objective<br />

6 aims to increase the contribution of fruits to <strong>people</strong>’s diet while<br />

Objective 7 aims to increase the variety and contribution of vegetables to<br />

<strong>people</strong>’s diets.<br />

theoretical framework: Community Engagement Theory (CET)<br />

speculates that effective community health promotion and education is<br />

best facilitated by community members becoming actively engaged in<br />

activities that directly promote their own and their community’s health.<br />

Following a CET model, the project was designed to improve the target<br />

community’s health through engaging community members in the Jackson<br />

Road Map <strong>for</strong> <strong>Health</strong> Equity Farmers’ Market.<br />

objectives: The current investigation was a <strong>for</strong>mative evaluation study<br />

designed to assess farmers’ market consumer stakeholders’ opinions<br />

regarding the farmers’ market. Specifically, consumer input was collected<br />

relative to the perceived utility, effectiveness, personal impact and community<br />

impacts of the market.<br />

evaluation measures: A questionnaire was specially developed <strong>for</strong> use<br />

in this study. Both Likert and open-ended questions were used to assess<br />

consumers’ self-reported behaviors, beliefs, attitudes and suggestions. Data<br />

were obtained from a sample of 81 consumers. Coefficient Alpha showed<br />

that the Likert items had an internal consistency reliability of .94.<br />

results: Data showed that the farmers’ market was well accepted by<br />

the consumers. It was having a positive influence on fruit and vegetable<br />

consumption. Data also showed that the market had a positive social<br />

value <strong>for</strong> the consumers. Several useful suggestions <strong>for</strong> market improvement<br />

were also obtained from this study. These findings are discussed in<br />

terms of proposed program improvements and in terms of Community<br />

Engagement Theory.<br />

20. Sexual Compulsivity Among Older, Heterosexual Adults<br />

Sara Cole, PhD, MA, BS, CHES, University of Central<br />

Oklahoma; Robin Milhausen, PhD, University of Guelph; Amy Muise,<br />

University of Guelph<br />

rationale: Studies on sexual compulsivity have primarily focused on<br />

high-risk and HIV-positive populations (e.g., Reece & Dodge, 2004).<br />

Recent studies have attempted to address this gap by investigating sexual<br />

compulsivity among primarily young heterosexual college students and<br />

have indicated that sexual compulsivity is relevant in predicting risky<br />

sexual activities in groups that are not considered high-risk (e.g., Dodge,<br />

Reece, Cole, & Sand<strong>for</strong>t, 2004). Individuals scoring highly in sexual<br />

compulsivity may also be perceived as experiencing higher levels of sexual<br />

excitation. One study of a small group (N = 31) of self-identified male “sex<br />

addicts” indicated that sexual compulsivity may be related to both sexual<br />

excitation and sexual inhibition (Bancroft & Vukadinovic, 2004).<br />

research purpose. The purpose of the current analyses was to explore<br />

how sexual compulsivity relates to risky sexual behaviors, as well<br />

as sexual excitation/inhibition in an older, non-clinical, non-student<br />

sample of adults, many of whom are married and have children. Method.<br />

The sample consisted of 365 women (mean age = 33 years, SD = 8.46)<br />

and 1,466 men (mean age = 38 years, SD = 9.87). Participants completed<br />

an online survey that included the Sexual Compulsivity Scale (SCS;<br />

Kalichman & Rompa, 1995), the Sexual Excitation/Sexual Inhibition<br />

Inventory <strong>for</strong> Women and Men (SESII-WM; Milhausen et al., 2008), and<br />

several measures of sexual beahviour. Regression and mediation analyses<br />

were used to explore the cognitive and behavioural correlates of sexual<br />

compulsivity.<br />

48<br />

sophe conference ✯ november 4-6, 2010<br />

results/discussion: Consistent with past research (e.g., Reece &<br />

Dodge, 2004), sexual compulsivity predicted sexual risk-taking and<br />

increased partnered sex behaviors in the current sample (specifically in<br />

women). Among women, higher sexual compulsivity scores also predicted<br />

fewer inhibitory cognitions (β = -.104, p < .05) and higher levels<br />

of arousability (β = .527, p < .001). Higher arousibility mediated the relationship<br />

between sexual compulsivity and fewer inhibitory cognitions.<br />

For men, higher sexual compulsivity scores also predicted higher levels<br />

of arousability (β = .362, p < .001), but predicted more inhibitory cognitions<br />

(β = .220, p < .001). There was no significant mediation. There<strong>for</strong>e,<br />

the increased arousal that is associated with higher sexual compulsivity<br />

may reduce women’s sexual concerns, but seems to exacerbate men’s.<br />

conclusions/implications: It is important to understand the<br />

experience of sexual compulsivity in the general population as unique<br />

interventions may be warranted to target groups that do not fall into the<br />

“high-risk” category.<br />

21. Contextual and Individual Factors Associated with<br />

Consumption of Sweet Foods in <strong>Health</strong>y Individuals Living in<br />

an Urban Setting<br />

Jean-Claude Moubarac, M.Sc., PhD candidate, Université de Montréal;<br />

Mark Daniel, PhD, Professor and Research Chair <strong>for</strong> Social Epidemiology,<br />

School of <strong>Health</strong> Sciences, University of South Australia; Margaret Cargo,<br />

PhD, Senior Lecturer in <strong>Health</strong> Promotion, School of <strong>Health</strong> Sciences, University<br />

of South Australia; Olivier Receveur, PhD, Professor, Department of<br />

Nutrition, Université de Montréal<br />

background: One of the objectives of <strong>Health</strong>y People <strong>2020</strong> is to<br />

reduce consumption of calories from added sugars. Social and physical<br />

environmental cues, as well as psychological factors, (e.g., mood, depression)<br />

have been associated with the consumption of sweet food (e.g.,<br />

soft drinks, chocolate). However, the effect of multiple environmental<br />

and individual factors on food behaviour is not well understood. Mixed<br />

methods research has rarely been applied in public health to understand<br />

how the individual interacts with the surrounding environment to influence<br />

food behaviour.<br />

objectives: To examine contextual and individual factors associated<br />

with daily consumption of sweet foods in <strong>healthy</strong> individuals living in<br />

an urban setting. Methodology: An ecological conceptual framework<br />

was used to understand the context of sweet food consumption. This<br />

framework guided the collection and analysis of 42 semi-structured interviews<br />

of <strong>healthy</strong> men and women from a Middle Eastern community<br />

in Montreal. Interviews were analysed using deductive and inductive<br />

coding procedures. Qualitative results were used to in<strong>for</strong>m the development<br />

of a quantitative measure investigating the context of sweet food<br />

consumption. The measure was pilot-tested on 20 individuals. The final<br />

self-report measure was administered with psychosocial measures of<br />

depression, mastery and self-moderation, a sociodemographic and food<br />

frequency questionnaire to 192 individuals (mean age 35 years) from the<br />

same community. Contextual domains were refined using exploratory<br />

factor analysis. Quantitative analysis using general linear models identified<br />

contextual and individual-level factors associated with consumption<br />

of sweet food operationalized as the amount of total sugars eaten daily<br />

from sweet foods and drinks.<br />

results: Qualitative and factor analyses led to the identification and refinement<br />

of a 42-item contextual measure with items grouped into seven<br />

domains: 1) emotions, 2) snacking, 3) energy demands, 4) social environment,<br />

5) physical environment, 6) constraints, and 7) eating dessert.<br />

Daily consumption of sweet food was on average 76 g/day and varied by

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