healthy people 2020 - Society for Public Health Education
healthy people 2020 - Society for Public Health Education
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