{"id":{"repo_id":"sdstate","oai_identifier":"oai:openprairie.sdstate.edu:etd-1904"},"canonical_url":"https://search.dev.ndltd.org/etd/sdstate/oai:openprairie.sdstate.edu:etd-1904","repository":{"repo_id":"sdstate","name":"South Dakota State University","base_url":"https://openprairie.sdstate.edu/do/oai/"},"display":{"title":"Motivation and Health Risk Behaviors Among City Employees Who Participate and Do Not Participate in Wellness Programming","abstract":"<p>This descriptive correlational study includes analyzes of the relationships between preventative health action and motivational style for city employees participating and not participating in the city's current wellness program. This study also describes the profiles of the participant and non-participant groups. The data for the majority of the 76 subjects, 53 participants and 23 non-participants, were collected at a health fair held for city employees by undergraduate and graduate students from South Dakota State University. Two instruments were used to collect data. The Health Risk Appraisal Questionnaire (HRAQ) measures items such as demographic variables, blood pressure, cholesterol level, smoking status, etc. The Motivation for Physical Activities Measure (MPAM) contains five subscales to measure motivation.<br> Differences among motivational styles were found between subscale fitness and subscale attractiveness (see Table 5). The average subscale score for the subscale fitness for participants of the wellness program was significantly higher than the score of the non-participant group. The finding suggests that the participating group identified more with the reason of fitness as a strong motivator to participate in their primary physical activity than did the non-participating group. The average subscale score for the subscale attractiveness for non-participants of the wellness program was significantly higher than the score of the participant group of the wellness program. Findings suggest that the nonparticipant group participate in their primary physical activity to improve the attractiveness of their body more than the participant group. The two groups perform many preventative health actions. But this study found that the participants that currently belong to the city's wellness program were found to have more preventive health behaviors (see Table 4).</p>","abstract_html":"&lt;p&gt;This descriptive correlational study includes analyzes of the relationships between preventative health action and motivational style for city employees participating and not participating in the city&#x27;s current wellness program. This study also describes the profiles of the participant and non-participant groups. The data for the majority of the 76 subjects, 53 participants and 23 non-participants, were collected at a health fair held for city employees by undergraduate and graduate students from South Dakota State University. Two instruments were used to collect data. The Health Risk Appraisal Questionnaire (HRAQ) measures items such as demographic variables, blood pressure, cholesterol level, smoking status, etc. The Motivation for Physical Activities Measure (MPAM) contains five subscales to measure motivation.&lt;br&gt; Differences among motivational styles were found between subscale fitness and subscale attractiveness (see Table 5). The average subscale score for the subscale fitness for participants of the wellness program was significantly higher than the score of the non-participant group. The finding suggests that the participating group identified more with the reason of fitness as a strong motivator to participate in their primary physical activity than did the non-participating group. The average subscale score for the subscale attractiveness for non-participants of the wellness program was significantly higher than the score of the participant group of the wellness program. Findings suggest that the nonparticipant group participate in their primary physical activity to improve the attractiveness of their body more than the participant group. The two groups perform many preventative health actions. But this study found that the participants that currently belong to the city&#x27;s wellness program were found to have more preventive health behaviors (see Table 4).&lt;/p&gt;","abstract_has_math":false,"creators":["Van Eimeren, Tiffanie"],"institution":null,"degree_name":"Master of Science (MS)","degree_level":"Thesis - University Access Only","degree_discipline":"Graduate Nursing","degree_department":null,"school":null,"contributors":["Penny Powers"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":1999,"date_issued":"1999-01-01T08:00:00Z","date_published":"1999-01-01T08:00:00Z","updated_at":"2026-07-24T04:28:23Z","subjects":["employee health programs","health behavior","health risk assessment","motivation","Nursing"],"languages":["en"],"rights":["Copyright © 1999 Tiffanie Van Eimeren. All rights reserved"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://openprairie.sdstate.edu/etd/904","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Penny Powers"]},{"key":"dc:creator","label":"Author","values":["Van Eimeren, Tiffanie"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"thesis:degree_discipline","label":"Discipline","values":["Graduate Nursing"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - University Access Only"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Master of Science (MS)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["employee health programs","health behavior","health risk assessment","motivation","Nursing"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright © 1999 Tiffanie Van Eimeren. 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The Health Risk Appraisal Questionnaire (HRAQ) measures items such as demographic variables, blood pressure, cholesterol level, smoking status, etc. The Motivation for Physical Activities Measure (MPAM) contains five subscales to measure motivation.<br> Differences among motivational styles were found between subscale fitness and subscale attractiveness (see Table 5). The average subscale score for the subscale fitness for participants of the wellness program was significantly higher than the score of the non-participant group. The finding suggests that the participating group identified more with the reason of fitness as a strong motivator to participate in their primary physical activity than did the non-participating group. The average subscale score for the subscale attractiveness for non-participants of the wellness program was significantly higher than the score of the participant group of the wellness program. Findings suggest that the nonparticipant group participate in their primary physical activity to improve the attractiveness of their body more than the participant group. The two groups perform many preventative health actions. But this study found that the participants that currently belong to the city's wellness program were found to have more preventive health behaviors (see Table 4).</p>"]},{"key":"dc:title","label":"Title","values":["Motivation and Health Risk Behaviors Among City Employees Who Participate and Do Not Participate in Wellness Programming"]}]}],"canonical_facts":{"dc:contributor":["Penny Powers"],"dc:creator":["Van Eimeren, Tiffanie"],"dc:description.abstract":["<p>This descriptive correlational study includes analyzes of the relationships between preventative health action and motivational style for city employees participating and not participating in the city's current wellness program. This study also describes the profiles of the participant and non-participant groups. The data for the majority of the 76 subjects, 53 participants and 23 non-participants, were collected at a health fair held for city employees by undergraduate and graduate students from South Dakota State University. Two instruments were used to collect data. The Health Risk Appraisal Questionnaire (HRAQ) measures items such as demographic variables, blood pressure, cholesterol level, smoking status, etc. The Motivation for Physical Activities Measure (MPAM) contains five subscales to measure motivation.<br> Differences among motivational styles were found between subscale fitness and subscale attractiveness (see Table 5). The average subscale score for the subscale fitness for participants of the wellness program was significantly higher than the score of the non-participant group. The finding suggests that the participating group identified more with the reason of fitness as a strong motivator to participate in their primary physical activity than did the non-participating group. The average subscale score for the subscale attractiveness for non-participants of the wellness program was significantly higher than the score of the participant group of the wellness program. Findings suggest that the nonparticipant group participate in their primary physical activity to improve the attractiveness of their body more than the participant group. The two groups perform many preventative health actions. But this study found that the participants that currently belong to the city's wellness program were found to have more preventive health behaviors (see Table 4).</p>"],"dc:identifier":["https://openprairie.sdstate.edu/etd/904"],"dc:language":["en"],"dc:rights":["Copyright © 1999 Tiffanie Van Eimeren. All rights reserved"],"dc:subject":["employee health programs","health behavior","health risk assessment","motivation","Nursing"],"dc:title":["Motivation and Health Risk Behaviors Among City Employees Who Participate and Do Not Participate in Wellness Programming"],"thesis:degree_discipline":["Graduate Nursing"],"thesis:degree_level":["Thesis - University Access Only"],"thesis:degree_name":["Master of Science (MS)"]},"updated_at":"2026-07-24T04:28:23Z"}