本研究旨在探討台北市某科技職場員工全穀類食物攝取行為現況，並分析影響職場員工攝取全穀類食物心理因素、知識、人口學變相等相關因素。
本研究為橫斷式調查法，簡單隨機取樣方式，並以台北市某科技公司全體員工為母群體，其有效問卷回收265份，資料整理以SPSS 18.0進行統計分析。研究結果得重要發現如下：
一、 研究對象其學歷多為大學以上，全穀類食物相關知識頗高。
全穀類食物攝取階段多集中於沉思前期，而沉思前期、沉思期男性比女性多，行動期、維持期女性比男性多，已有規律攝取全穀類食物者僅14%，自覺健康狀態趨向正向。
二、 全穀類食物攝取之社會支持來自家人支持度高於朋友支持，但整體社會支持分數偏低；對於全穀類食物之自覺利益得分頗高，自覺障礙具有中等程度的障礙存在。
三、 研究對象之自覺健康狀態依教育程度、年齡不同而有顯著差異； 研究對象之社會支持會依性別、年齡別分別、教育程度不同而會有顯著差異；研究對象之全穀類食物自覺利益會依性別、年齡別分別不同而會有顯著差異；研究對象之全穀類食物自覺障礙會依性別、學歷分別不同而會有顯著差異。
四、 全穀類食物知識、家人社會支持、全穀類食物自覺障礙可有效預測全穀類食物攝取行為。
依研究結果，建議未來推動增加職場員工全穀類攝取時其重點可著重全穀類食物營養知識授予、增加社會支持與環境社會支持、並且依照不同行為階段給予不同教育策略。

The purpose of this study is to understand the whole grains intake behaviors and to identify the influencing factors. A cross sectional survey of employees of a high-tech company in Taipei was carried out. 265 valid surveys were collected. The data was analysed with SPSS, version 18.0.
The study found that
1. The participants are mostly college educated or higher, and with good knowledge of whole grains. Most of them are in the beginning of precontemplation stage of whole grain intake. There are more male than female in the stages of “precontemplation” and “contemplation”, and more female than male in the stages of “action” and “maintenance”. Only 14% consumes whole grains regularly and are with positive perceptive health status.
2. The social support to consume whole grains food are mostly from the families, while the total social support score is low. The perceived benefits score of whole grains are high, and the perceived barriers score of whole grains are medium.
3. The perceived health status showed significant difference among education, and age. The social support showed significant difference among gender, age, and education. The perceived benefit of whole grains showed significant difference among gender and age. The perceived barriers of whole grains showed significant difference among gender and education.
4. The whole grains intake behavior of the participants can be effectively predicted through their knowledge of whole grains, family and social support, and the perceived barriers of whole grains.
5. The abnormality of waist circumference and blood pressure of the participants can be effectively predicted through their whole grains intake behavior.
There are few recommendations based on the study results for future promoting whole grains diet at workplace. To put the most effort on educating beneficial facts of whole grains. To increase social and environmental support. To take different education strategies for the audience in different stages of change in whole grain consumption.

中文文獻

王秀紅、吳淑如、劉雅瑛 (2003)。 Association Between Social Support and Health Outcomes: A Meta-Analysis. [利用統合分析法檢視社會支持與健康結果的相關性]. The Kaohsiung Journal of Medical Sciences， 19(7)， 345-351。
行政院主計總處 (2013)。2012年我國平均工時。2013年10月15日，取自行政院主計處網址 http://win.dgbas.gov.tw/dgbas04/bc5/EarningAndProductivity/QueryPages/Regular.aspx
行政院衛生福利部國民健康署 (2011)。 每日飲食指南。2013年10月11日，取自網站行政院衛生福利部國民健康署健康九九網站網址
http://health99.hpa.gov.tw/educZone/edu_detail.aspx?CatId=11933&Type=001
行政院衛生福利部國民健康署 (2013)。101年度死亡統計。2013年10月11日，取自網站行政院衛生福利部國民健康署健康九九網站網址
http://health99.hpa.gov.tw/Hot_News/h_NewsDetailN.aspx?TopIcNo=6798
行政院衛生福利部國民健康署(2013)。 身體曲線與健康。2013年10月11日，取自網站行政院衛生福利部國民健康署網站
http://www.health99.doh.gov.tw/TXT/PreciousLifeZone/print.aspx?TopIcNo=52&DS=1-Article
行政院衛生福利部國民健康署. (2010). 預防代謝症候群 從飲食做起. Retrieved 12, 2013, from http://health99.hpa.gov.tw/Article/ArticleDetail.aspx?TopIcNo=68&DS=1-Article
行政院衛生福利部國民健康署(2004)。成人健康體位挑戰1824 。2013年10月11日，取自網站行政院衛生福利部國民健康署網站 http://health99.doh.gov.tw/educZone/edu_detail.aspx?Catid=11458&KeyWord=%e5%81%a5%e5%ba%b7%e9%ab%94%e4%bd%8d&terms=0,0,0, ,1988/1/1,2013/12/31&kind=Search
行政院衛生福利部國民健康署(2011)。 代謝症候群防治工作手冊 。2013年10月11日，取自網站行政院衛生福利部國民健康署網站
http://health99.doh.gov.tw/educZone/edu_detail.aspx?Catid=21704&Type=002&KeyWord=%e4%bb%a3%e8%ac%9d%e7%97%87%e5%80%99%e7%be%a4&terms=0,0,0,
李春松 (2012)。醫院護理人員蔬果攝取行為及其相關因素探討(未出版之碩士論文)。國立台灣師範大學健康促進與衛生教育研究所碩士論文，台北市。
李蘭、晏涵文、陳富莉、陸杓玲、吳文琪、江宜珍 (2010)。 健康行為與健康教育 。台北：巨流圖書股份有限公司 。
行政院衛生福利部國民健康署(2011)。 2007年台灣地區高血壓、高血糖、高血脂之追蹤調查研究專輯。2013年10月11日，取自網站行政院衛生福利部國民健康署網站 http://www.bhp.doh.gov.tw/BHPNet/Web/HealthTopic/TopicArticle.aspx?id=201102110002&parentid=200712250015
基隆市衛生局 (2009)。 高血壓發生率與盛行率。2013年10月11日，取自基隆市衛生局網站 http://chmuseum.klchb.gov.tw/web/Content/Content.aspx?c0=277
張玉鳳 (2000)。台北市某國中學生攝取蔬果行為相關因素之研究(未出版之碩士論文)。國立台灣師範大學健康促進與衛生教育研究所論文，台北市。
張春美、沈希哲、張惠真、龔致瑩 (2009)。應用跨理論模式推動醫院員工每日五蔬果之成效 [ The Application of Transtheoretical Model to Promote 5-Vegetables and Fruits-Per Day Program among Hospital Employees]。北市醫學雜誌， 6 ( 5 ) , 362-372。
張家榕 (2009)。職場推行健康促進計畫對員工健康行為影響之研究-以某科技公司為例(未出版之碩士論文)。國立臺灣師範大學健康促進與衛生教育研究所論文，台北市。
許羽婷 (2000)。某科技公司職員蔬果攝取行為之相關影響因素探討(未出版之碩士論文)。國立臺灣師範大學健康促進與衛生教育研究所論文，台北市。
陳銘樹、王建智、王麗雁 (2008)。 應用決策樹演算法以探究高科技員工潛在的糖尿病之危險因子。健康管理學刊。6 (2)，135－146。
游郁馥 (2006)。 影響員工參與職場健康促進計畫相關因素之研究(未出版之碩士論文)。國立臺灣師範大學健康促進與衛生教育研究所論文，台北市。
游麗惠、鄭惠美、洪惠靖 (2011)。 台灣職場健康促進品質及其相關因素之前驅研究 [A Preliminary Study of WorkplaceHealth Promotion Quality andRelated Factors in Taiwan]。 健康促進暨衛生教育雜誌(31)，115-138。
楊慎絢、黃芬芬、李帶琪、陳美如 (2007)。 科技職場之體能與健康評估[Assessing Physical Fitness in a High Tech Workplace]. 北市醫學雜誌， 4(3)，258-263。
劉美蘭、康雅菁、陳俊瑜、張斯蘭(2011)。 某高科技產業代謝症候群盛行率與員工健康概念、健康促進生活型態之相關性研究. [Study on the Correlation among the Prevalence of Metabolic Syndrome, Health Concept and Health Promoting Lifestyles for the Employees of High-tech Industry]。健康管理學刊，9 (1)， 57-73。
劉顯達、李文正、陳昭源、林忠順、陳美燕 (2009)。健康促進措施對某科技公司代謝症候群員工之成效。 中華職業醫學雜誌, 16(4), 279-285。
潘文涵、吳幸娟、葉志嶸、莊紹源、張新儀、葉乃華、謝耀德 (2011)。 台灣人飲食與健康之趨勢 1993-1996與2005-2008營養健康調查之比較。2013年10月11日，取至食品藥物消費者知識網 https://consumer.fda.gov.tw/Pages/List.aspx?nodeID=287
蔡晏儒 (2005)。 運用跨理論模式於職場員工蔬菜攝取行為之探討－以
全景企管顧問有限公司往來客戶為例(未出版之碩士論文)。國立臺
灣師範大學健康促進與衛生教育研究所論文，台北市。
衛生福利部食品藥物管理署 (2011)。 2005 - 2008 台灣國民營養健康狀況變遷調查結果. 2013年10月22日，取至衛生福利部食品藥物管理署網站
https://consumer.fda.gov.tw/Pages/List.aspx?nodeID=287
鄭金寶 (2007)。 代謝症候群之臨床營養處置 [Clinical Nutrition Management in Metabolic Syndrome]。 臺灣醫學， 11(4)， 410-416。
魏米秀、呂昌明 (2009)。 台灣大學生蔬果攝取改變階段與蔬果飲食頻率之研究－跨理論模式之應用. [Stages of Change and Food Frequency for Fruit and Vegetable Intake among College Students in Taiwan: An Application of the Transtheoretical Model]. 健康促進與衛生教育學報(32), 43-64.
羅筱芬、劉純蓉、蔡春美、潘婉琳 (2005)。南港軟體園區員工自覺健康狀態、健康行為與健康促進需求。康寧學報， 7， 79-117。

英文文獻
Aggarwal, B., Liao,M., Allegrante,J. P., & Mosca,L. (2010). Low Social Support Level is Associated with Non-Adherence to Diet at 1-Year in the Family Intervention Trial for Heart Health (FIT Heart). Journal of Nutrition Education and Behavior, 42(6), 380-388.
Anderson-Bill, E.S., Winett, R.A., & Wojcik,J.R. (2011). Social Cognitive Determinants of Nutrition and Physical Activity Among Web-Health Users Enrolling in an Online Intervention: The Influence of Social Support, Self-Efficacy, Outcome Expectations, and Self-Regulation. Journal of Medical Internet Research, 13(1), e28. doi: 10.2196/jmir.1551
Anderson, E.S., Winett, R.A., & Wojcik, J.R. (2007). Self-Regulation, Self-Efficacy, Outcome Expectations, and Social Support: Social Cognitive Theory and Nutrition Behavior. Annals of Behavioral Medicine, 34(3), 304-312.
Azam, B., Mojgan, M., Eesa, M., Saharnaz, N., Sakineh, M. C., Fatemeh, R., & Reza, M. (2011). Health-promoting behaviors and social support of women of reproductive age, and strategies for advancing their health: Protocol for a mixed methods study. BMC Public Health, 11(191). doi: 10.1186/1471-2458-11-191
Burgess-Champoux, T., Larson,N.I. , Neumark-Sztainer,D.R., Hannan, P.J., &Story, M.T. (2010). Longitudinal and secular trends in adolescent whole-grain consumption, 1999–2004. American Journal of Clinical Nutrition, 91, 154-159.
Campbell, M. K., Symons, M., Demark-Wahnefried, W., Polhamus, B., Bernhardt, J. M., McClelland, J. W., & Washington, C. (1998). Stages of Change and Psychosocial Correlates of Fruit and Vegetable Consumption Among Rural African-American Church Members. American Journal of Health Promotion, 12(3), 185-191.
Costabile, A., Klinder, A., Fava, F., Napolitano, A., Fogliano, V., Leonard, C., Gibson, G., & Tuohy, K. (2008). Whole-grain wheat breakfast cereal has a prebiotic effect on the human gut microbiota: a double-blind, placebo-controlled, crossover study. British Journal of Nutrition, 99, 110-120.
de Munter, J. S. L., Hu, F. B., Spiegelman, D., Franz, M., & van Dam, R. M. . (2007). Whole grain, bran, and germ intake and risk of type 2 diabetes: a prospective cohort study and systematic review. PLoS Medicine, 4(8). 1385-1395.
Djoussé, L., & Gaziano, J. M. (2012). Breakfast cereals and risk of hypertension in the Physicians’ Health Study I. Archives of internal medicine, 167(19), 89-92.
Flint, A.J., Hu,F.B., Glynn,R.J., Jensen,M.K., Franz,M., Sampson,L., & Rimm,E.B. (2009). Whole grains and incident hypertension in men. American Society for Nutrition, 90(3), 493-498.
Frølich, W., Aman, P., & Tetens, I. (2013). Whole grain foods and health - a Scandinavian perspective. Food & Nutrition Research, 57. doi: 10.3402/fnr.v57i0.18503
Glanz, K., Patterson, R.E., Kristal, A.R., DiClemente, C.C., Heimendinger, J., Linnan, L., & McLerran, D.F. (1994). Stages of Change in Adopting Healthy Diets: Fat, Fiber, and Correlates of Nutrient Intake. Health Education & Behavior, 21 (4), 499-519.
Gross, L.S., Li, L., Ford, E.S., & Liu, S. (2004). Increased consumption of refined carbohydrates and the epidemic of type 2 diabetes in the United States: an ecologic assessment. American Joural of Clinical Nutrition, 79(5), 774-779.
Harnack, L., Block, G., Subar, A., Lane, S., & Brand, R. (1997). Association of Cancer Prevention-Related Nutrition Knowledge, Beliefs, and Attitudes to Cancer Prevention Dietary Behavior. Journal of the American Dietetic Association, 97(9), 957-965.
Health, National Institutes of. (2009). Your Guide To Lowering Your Blood Pressure With DASH. from http://www.nhlbi.nih.gov/health/public/heart/hbp/dash/new_dash.pdf
Horwath, C. C., Nigg, C. R., Motl, R. W., Wong, K. T., & Dishman, R. K. (2010). Investigating fruit and vegetable consumption using the transtheoretical model. American Journal of Health Promotion, 24(5), 324-333.
Horwath, C.C., Schembre, S.M., Motl, R.W., Dishman, R.K., & Nigg, C.R. (2013). Does the transtheoreticalmodel of behavior change provide a useful basis for interventions to promote fruit and vegetable consumption? American Journal of Health Promotion, 27(6), 351-357.
Hwang, W.J., Hong, O.S., & Rankin, S.H. (2013). Predictors of Health-Promoting Behavior Associated With Cardiovascular Diseases Among Korean Blue-Collar Workers. Asia-Pacific Journal of Public Health. doi: 10.1177/1010539513500338
Jackson, T. (2006). Relationships between perceived close social support and health practices within community samples of American women and men. Journal of Health Psychology, 140(3),229-246.
Jonnalagadda, S.S., Harnack,L., Liu,R.H., McKeown, N., Seal,C., Liu, S., & Fahey,G.C. (2011). Putting the whole grain puzzle together: health benefits associated with whole grains--summary of American Society for Nutrition 2010 Satellite Symposium. American Society for Nutrition, 141(5), 1011-1022.
Kamar, M., &Evans,C. (2013). Whole Grain intake Correlates in Young Adults. J Epidemiol Community Health, 67. doi: 10.1136/jech-2013-203126.113
Kim, H.S., Ahn, J., &No, J.K. (2012). Applying the Health Belief Model to college students' health behavior. Nutrition Research and Practice, 6(6), 551-558.
Kim, J., & Park,H. (2012). Development of a health information technology acceptance model using consumers' health behavior intention. Journal of Medical Internet Research, 14(5).
Koh-Banerjee, P., Franz,M., Sampson,L., Liu,S., Jr,D.R. J., Spiegelman,D., Willett,W., & Rimm,E. (2004). Changes in whole-grain, bran, and cereal fiber consumption in relation to 8-y weight gain among men. American Journal of Clinical Nutrition, 80(5), 1237-1246.
Kushida, O., &Murayama, N. (2012). Assessment of the validity and reliability of the processes of change scale based on the transtheoretical model of vegetable consumption behavior in Japanese male workers. Nihon Koshu Eisei Zasshi, 59(12), 861-870.
Lappalainen, R., Kearneyc, J., & Gibneyc, M. (1998). A pan EU survey of consumer attitudes to food, nutrition and health: an overview. Food Quality and Preference, 9(6), 467-478.
Larson, N. I., Neumark-Sztainer, D., Story, M., & Burgess-Champoux, T. (2010). Whole-Grain Intake Correlates among Adolescents and Young Adults: Findings from Project EAT. Journal of the American Dietetic Association, 110(2), 230-237.
Larson, N., Laska, M.N., Story, M., & Neumark-Sztainer, D. (2012). Predictors of Fruit and Vegetable Intake in Young Adulthood. Journal of the Academy of Nutrition and Dietetics, 112(8), 1216-1222.
Lin, Y.C., Chen, J.D., Lo, S.H., &Chen, P.C. (2010). Worksite health screening programs for predicting the development of Metabolic Syndrome in middleaged employees: a five-year follow-up study. BMC Public Health, 10(747). doi: 10.1186/1471-2458-10-747
Liu, S., Stampfer, M.J., Hu, F.B., Giovannucci, E., Rimm, E., Manson, J.E., Hennekens, C.H., & Willett, W.C. (1999). Whole-grain consumption and risk of coronary heart disease: results from the Nurses’ Health Study. American Journal of Clinical Nutrition, 70(3), 412-419.
Long, C. A ., Saddam, A. M., Scheer, S. D., & Conklin, N. L. (2003). The Influence of the Healthy Eating for Life Program on Eating Behaviors on Nonmetropolitan Congregate Meal Participants. Family Economics & Nutrition Review, 12(1), 15-24.
McKeown, N.M., Troy, L. M., Jacques,P.F., Hoffmann, U., O'Donnell,C.J., & Fox,C.S. (2010). Whole- and refined-grain intakes are differentially associated with abdominal visceral and subcutaneous adiposity in healthy adults: the Framingham Heart Study. American Journal of Clinical Nutrition, 92(5), 1165-1172.
Mhurchu, C.N., Aston, L.M., & Susan,A.J. (2010). Effects of worksite health promotion interventions on employee diets: a systematic review. BMC Public Health, 10(62), 1186-1192.
Nettleton, J.A., Steffen, L.M., Loehr, L.R., Rosamond, W.D., & Folsom, A.R. (2008). Incident heart failure is associated with lower whole-grain intake and greater high-fat dairy and egg intake in the Atherosclerosis Risk in Communities (ARIC) study. Journal of the American Dietetic Association, 108(11), 1881-1887.
Nowson, C. A. , Worsley, A., Margerison, C., Jorna, M. K., Godfrey, S.J., & Booth, A. (2005). Blood pressure change with weight loss is affected by diet type in men. Aerican Journal of Clinical Nutrition, 81(5), 983–989.
Orji, R., Vassileva,J., & Mandryk,R. (2012). Towards an Effective Health Interventions Design: An Extension of the Health Belief Model. Online Journal of Public Health Informatics 4(3). doi: 10.5210/ojphi.v4i3.4321
Pawlak, R., & Colby,S. (2009). Benefits, barriers, self-efficacy and knowledge regarding healthy foods; perception of African Americans living in eastern North Carolina. Nutrition Research and Practice, 3(1), 56-69.
Plummer, B.A., Velicera,W. F., Reddinga, C.A., Prochaskaa, J.O., Rossia, J. S., Pallonen, U.E., & Meiera, K.S. (2010). Stages of change, decisional balance, and temptations for smoking: Measurement and validation in a large, school-based population of adolescents. Addictive Behaviors, 37(5), 551-571.
Rapley, J., &Coulson, N.S. (2005). Stages of change and consumption of fruit and vegetables among adolescent females: Associations with decisional balance and self-efficacy. British Food Journal, 107(9), 663-669. doi: 10.1108/00070700510615044
Schmied, E.A., Parada, H., Horton, L.A., Madanat, H., &Ayala, G.X. (2013). Family Support Is Associated With Behavioral Strategies for Healthy Eating Among Latinas. Health Education & Behavior. doi: 10.1177/1090198113485754
Scholz, U., Ochsner, S., Hornung, R., &Knoll, N. (2013). Does Social Support Really Help to Eat a Low-Fat Diet? Main Effects and Gender Differences of Received Social Support within the Health Action Process Approach. Health and Well-bing, 5(2), 270-290.
Shariatjafari, S., Omidvar, N., Shakibazadeh, E., Majdzadeh, R., Minaei, M., &Gholamzade, M. (2012). Effectiveness of Community-based Intervention to Promote Iran's Food-based Dietary Guidelines. International Journal of Preventive Medicine, 3(4), 249-261.
Sharifirad, G., Entezari, M.H., Kamran, A., &Azadbakht, L. (2009). The effectiveness of nutritional education on the knowledge of diabetic patients using the health belief model. Journal of Research in Medical Sciences 14(1), 1-6.
Sorensen, G., Landsbergis, P., Hammer, L., Amick, B.C., Linnan, L., Yancey, A., Welch, L.S., Goetzel, R.Z., Flannery, K.M., & Pratt, C. (2011). Preventing Chronic Disease At the Workplace: A Workshop Report and Recommendations. American Journal Public Health, 101Suppl 1, S196–S207.
Stanton, C.A., Green, S.L., &Fries, E.A. (2007). Diet-specific social support among rural adolescents. Journal of Nutrition Education and Behavior 39(4), 214-218.
Suzan, R., van Lenthe Frank, V. E. P., & Alex, B. (2009). Determinants of participation in worksite health promotion programmes: a systematic review. International Journal of Behavioral Nutrition and Physical Activity, 6(26). doi: 10.1186/1479-5868-6-26
Tamersa, S. L., Beresfordd, S.A.A., Cheadlec, A.D., f, Zhengd, Y., Bishopd, S.K. , &Thompsonc, B. (2011). The association between worksite social support, diet, physical activity and body mass index. National Institutes of Health Public Access, 53(1-2), 53-56. doi: 10.1016/j.ypmed.2011.04.012
Tsai, T. Y., Cheng, J. F., &Lai,Y. M. (2011). Prevalence of metabolic syndrome and related factors in Taiwanese high-tech industry workers. CLINICS, 66(9), 1531-1535.
Wallmann-Sperlich, B., Bucksch,J., Hansen,S., Schantz,P., &Froboese, I. (2013). Sitting time in Germany: an analysis of sociodemographic and environmental correlates. BMC Public Health, 13(196). doi: doi:10.1186/1471-2458-13-196
Wang, L., Gaziano,J. M., Liu,S., Manson, J. E., Buring,J. E., &Sesso,H.D. (2007). Whole- and refined-grain intakes and the risk of hypertension in women. Aerican Journal of Clinical Nutrition, 86(2), 472-479.
Wijndaele, K., Duvigneaud, N., Matton, L., Duquet, W., Delecluse, C., Thomis,M., Beunen, G., Lefevre, J., &Philippaerts, R. M. (2009). Sedentary behaviour, physical activity and a continuous metabolic syndrome risk score in adults. European journal of clinical nutrition, 63, 421-429.
Winham, D. M., &Kathleen, M. J. (2011). Knowledge of young African American adults about heart disease: a cross-sectional survey. BMC Public Health, 11(248). doi: 10.1186/1471-2458-11-248
Wolf, R.L., Lepore, S.J., Vandergrift, J.L., Wetmore-Arkader, L., McGinty, E., Pietrzak, G., & Yaroch, A.L. (2008). Knowledge, Barriers, and Stage of Change as Correlates of Fruit and Vegetable Consumption among Urban and Mostly Immigrant Black Men. American Dietetic Association, 108(8), 1315-1322.
Yeh, M.C., Ickes, S.B., Lowenstein, L.M, Shuval, K., Ammerman, A.S., Farris, R., & Katz, D.L. (2008). Understanding barriers and facilitators of fruit and vegetable consumption among a diverse multi-ethnic population in the USA. Health Promotion International, 23(1),42-51.