研究生: |
張于芸 Chang, Yu-Yui |
---|---|
論文名稱: |
苗栗縣某科技公司員工攝取含糖飲料行為及其影響因素之研究 The correlates of sugar-sweetened beverages among technology company employees in Miaoli County |
指導教授: |
胡益進
Hu, Yi-Jin 廖邕 Liao, Yung |
學位類別: |
碩士 Master |
系所名稱: |
健康促進與衛生教育學系 Department of Health Promotion and Health Education |
論文出版年: | 2019 |
畢業學年度: | 107 |
語文別: | 中文 |
論文頁數: | 153 |
中文關鍵詞: | 含糖飲料 、自我效能 、對於含糖飲料態度 、職場健康促進 、科技業 |
英文關鍵詞: | Sugar-sweetened beverages, self-efficacy, attitude toward sweetened beverages, workplace health promotion, technology industry |
DOI URL: | http://doi.org/10.6345/THE.NTNU.DHPHE.003.2019.F02 |
論文種類: | 學術論文 |
相關次數: | 點閱:341 下載:0 |
分享至: |
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
本研究主要目的在瞭解苗栗某科技公司員工攝取含糖飲料行為,以橫斷式調查法收集資料,並探討研究對象背景因素、含糖飲料消費因素、攝取含糖飲料知識、對於攝取含糖飲料態度、拒絕攝取含糖飲料自我效能與攝取含糖飲料行為間的關係,選擇以苗栗某科技公司員工做為研究樣本,共回收233份有效問卷(有效回收率89.61%),問卷資料經過分析得知重要結果如下:
一、研究對象為苗栗某科技公司員工,性別以男性為多(66.52%),年齡層以30~39歲人數最多(45.49%),教育程度以專科、大學比例最高(42.92%),睡眠品質以「還不錯」較多(48.07%),獲取含糖飲料便利程度以地理環境上有67.38%員工在住家或工作地點能在走路五分鐘的範圍內獲取含糖飲料,有80.26%員工覺得身處的生活環境獲取含糖飲料屬「便利的」,而攝取含糖飲料訊息與頻率來源第一名為網路,購買含糖飲料首要條件以「喜好口味」為主要選購考量,研究對象每週攝取含糖飲料平均值達2335c.c,主要攝取類別以茶類與咖啡類為主。
二、研究對象攝取含糖飲料知識會因為「年齡」、「教育程度」之不同水準而有顯著差異,其中以39歲以下員工與具有碩士(含)以上員工具有較佳的攝取含糖飲料知識;對於攝取含糖飲料態度會因為「性別」、「年齡」之不同水準而有顯著差異,其中以女性與40~49歲員工較佳;拒絕攝取含糖飲料自我效能會因為「年齡」之不同而有顯著差異,其中以40~49歲員工拒絕攝取含糖飲料自我效能最佳。
三、研究對象攝取含糖飲料行為會因為「性別」、「年齡」、「教育程度」之不同水準而有顯著差異,其中以男性、39歲(含)以下員工、教育程度為高中或高職者有較高攝取含糖飲料行為,研究對象攝取含糖飲料行為亦與對於攝取含糖飲料態度、拒絕攝取含糖飲料行為呈現負相關。
四、在本研究得知所有變項能有效預測攝取含糖飲料行為之總變異量的51.1%,其中以研究對象之「性別」、「年齡」、「教育程度」、「對於攝取含糖飲料態度」、「拒絕攝取含糖飲料自我效能」、「接觸含糖飲料訊息的頻率」、「購買條件」對研究對象攝取含糖飲料行為具有預測力,並以「拒絕攝取含糖飲料自我效能」對於攝取含糖飲料行為之解釋力最大。
五、根據研究結果,對衛生當局與職場健康服務醫護人員提出諸多建議,包含對於含糖飲料宣導課程內容設計及建議優先強化之特定對象、加強職場食品的供應規範、提出媒體資訊管理之建議、建立健康職場無糖飲料支持性環境與政策等,期待能對於企業建立健康職場環境有所助益,以提升員工身體健康,增加工作效率與產出,降低因疾病造成的病假缺席的成本損失,進而讓雇主認同推行職場健康促進是最有效益的投資。
The main purpose of this study is to investigate the behavior of Miaoli Technology Company Staffs taking Sugar-sweetened beverages (SSBs) by adopting the cross-sectional investigation method. For this study, we have included factors such as staff’s background, rationale for buying SSBs, their knowledge on SSBs, attitude of SSBs, and refusing to take the relationship between the self-efficacy of SSBs . In this study we have collected 233 valid questionnaires (with an effective recovery rate of 89.61%) from the employees of a technology company in Miaoli. We can revealed the following conclusions form from the questionnaire:
1. These subjects come from Miaoli Technology Company which is a predominantly male environment (about 66.52%), and their age range are around 30-39 (45.49%), and their education level is the highest in the specialist and university (42.92%). In these samples about 48.07% have a good sleep quality and about 67.38% of them can get SSBs from home or work place within five minutes. 80.26% of employees feel that it is "convenient" to get SSBs in their living . The main resource about SSBs information that they can get is from the Internet. The main choice consideration of SSBs is based on "their taste flavor". The subjects intake SSBs is 2,335 ml per week and the main categories of them were tea and coffee.
2. There is significance relation between the knowledge of SSBs, age and educational level. Employees under the age of 39 and those with a master's degree or above have better knowledge of SSBs. There is significance relation between the attitude of SSBs, gender and age . Employees under the age 40-49 year olds and female have better attitude of SSBs. There is significance relation between the self-efficacy of refusing SSBs , age. Employees under the age 40-49 year olds have better self-efficacy of SSBs.
3. The behavior of these subjects in intaked SSBs varies significantly depending on their "gender", "age " and "educational level". Among these subjects, male employees who fall under the age of 39 (including), with High school education level intakes more sweetened beverages. The attitude of SSBs and the self-efficacy of refusing SSBs shows negative correlation between taking and refusing to intakes sweetened beverages.
4. In this study the variances of SSBs intakes which could be explained by all research variables was up to 51.1%. The main predictors are gender, age, educational level, the attitude of SSBs , the self-efficacy of refusing SSBs, frequency of contact with SSBs and purchasing condition. The most important predictor toward SSBs intakes was self-efficacy of refusing SSBs.
5. According to the result of this research, many suggestions were presented to health authorities and workplace health service medical staff. These suggestions includes specifications on the avoid SSBs course content design, and Priority implementation people, strengthening the supply of workplace foods, increasing health awareness thru information management , Establish a healthy workplace sugar-free beverages support environment and policy. It can be expected to help the establishment of a healthy workplace environment to improve the physical health of employees, increase work efficiency and output, and reduce diseases caused by diseases. The cost of absence from sick leave, which in turn makes employers agree that promoting workplace health promotion is the most effective investment.
一、中文部分
中央通訊社 (2017)。含糖飲料禁入校園教育部同意修法。2018年6月8日,取自http://www.cna.com.tw/news/firstnews/201710050037-1.aspx。
中央通訊社 (2017)。喝運動飲料 糖尿病患小心血糖飆升。2018年5月16日,取自https://www.cna.com.tw/news/ahel/201710090044.aspx。
王聖博 (2004)。影響消費者購買決策因素之探討-以茶飲料消費者為例。國立成功大學高階管理碩士論文,臺南。
主管法規查詢系統 (2016)。校園飲品及點心販售範圍。2018年5月30日,取自http://edu.law.moe.gov.tw/LawContent.aspx?id=GL000327。
台灣行政院衛生福利部 (2013)。飲料類衛生標準。2018年5月10日,取自https://law.moj.gov.tw/LawClass/LawAll.aspx?PCode=L0040068。
台灣經濟研究院產經資料庫 (2017)。非酒精飲料製造業基本資料。2018年6月10日,取自https://tie.tier.org.tw/。
台灣區飲料工業同業公會 (2018)。2017年會員工廠各類飲料銷售數量統計表。2018年6月17日,取自http://www.bia.org.tw/style/content/CN-11-1b/download.asp?lang=1&customer_id=1135&name_id=16666&rid=1691。
行政院勞工委員會勞工安全衛生研究所(2011)。工作環境安全衛生狀況認知調查-2010年。2018年5月25日,取自https://labor-elearning.mol.gov.tw/base/10001/door/%B3%F8%A7i%B0%CF/13e58b3abbe000005c5a.pdf。
李昱緯 (2004)。台灣地區高科技產業空間分佈現象分析:1991∼2001。國立成功大學都市計劃學系碩士論文,臺南。
李恩鈺 (2008)。桃園縣國中學生飲用含糖飲料消費行為之研究。國立臺灣師範大學健康促進與衛生教育學系碩士論文,臺北。
李慧庭、蔡玲貞、施純光、蘇矢立 (2014)。食物升糖指數與大腸直腸癌的關係。中華民國糖尿病衛教學會會訊,10 (2),12-14。
林沛源 (2014)。青少年健康認知對含糖飲料消費行為影響之研究-以明台高中生為例。朝陽科技大學休閒事業管理系碩士論文,臺中。
林宛宜、黃亮綜 (2015)。咖啡因和咖啡酸對人體生理之影響。明道學術論壇, 9 (3),79-94。
林宜親、馮麗蓉 (2010)。探討影響青少年茶類飲料消費行為意圖之研究。健康管理學刊,8(1),23-35。
林逸芸 (2015)。大學生網路成癮、睡眠以及能量飲料使用之相關探討。國立臺灣師範大學健康促進與衛生教育學系碩士論文,臺北。
林隆儀、鄭博升 (2005)。價格促銷、品牌熟悉度與消費者知覺促銷利益對品牌評價的影響-以台北市連鎖便利商店促銷活動為例。行銷評論, 2(4), 523-554。
周秩年、謝宜儒 (2016)。產業分析:餐飲業發展趨勢。2018年10月11日,取自http://www.twtrend.com/share_cont.php?id=51。
科技部 (2017a)。科學園區從業人員性別統計。2018年10月11日,取自https://www.most.gov.tw/folksonomy/list?menu_id=ced8c5d3-0c6b-46a2-99a9-5a3e36b758b5&subSite=&l=ch。
科技部 (2017b)。105年度科技行政研究發展計畫新竹科學園區從業人員健康管理制度研究。2018年10月11日,取自https://www.most.gov.tw/most/attachments/39aeeb6c-1fa7-4ddb-b7cc-12a98062288f。
武文月 (2003)。影響某大學學生睡眠品質相關因素之研究。國立臺灣師範大學健康促進與衛生教育學系碩士論文,臺北。
洪萩婷 (2014)。學生飲用含糖飲料行為及其相關因素研究-以高雄市某國中為例。義守大學管理學院碩士論文,高雄。
張新儀、謝耀德、潘文涵、鄭喬薇(2011)。甜飲料攝取的代謝症候群風險, NAHSIT 2005-2008,155-164。
許添貴、辜美安、葉月嬌 (2013)。影響台灣地區男性急診科醫師睡眠品質因子之探討。秀傳醫學雜誌,12(1&2),1-9。
陳鴻杰 (2010)。馬祖地區國中學生飲用含糖飲料行為及其影響因素之研究。國立臺灣師範大學健康促進與衛生教育學系碩士論文,臺北。
單文珍 (2002)。桃園市國中學生含糖飲料消費及其影響因素研究。國立臺灣師範大學健康促進與衛生教育學系碩士論文,臺北。
游映嫻 (2006)。黑松企業文化之研究。國立中央大學歷史研究所碩士論文, 桃園。
黃秀滿 (2007)。國中生含糖飲料消費影響因素之分析-以
台中縣某國中為例。國立中興大學應用經濟學系碩士論文,臺中。
黃景義、許朝凱、祝瑞霜、陳立奇、李婉媜、姜郁美、林奇宏 (2012)。臺北市塑化劑污染食品檢測結果。食品藥物研究年報(3),122-130。
楊智元 (2009)。毒奶粉的風險論述分析與三聚氰胺的管制爭議。國立臺灣大學國家發展研究所碩士論文,臺北。
葉麗芳 (2008)。中等學校學生飲用含糖飲料相關因素及與肥胖關係之研究 -以台北市某完全中學學生為例。國立臺灣師範大學健康促進與衛生教育學系碩士論文,臺北。
葉麗芳、陳政友、郭李堂 (2009)。台北市某完全中學學生飲用含糖飲料與肥胖之研究。學校衛生 (55),87-105。
詹欣隆、黃偉新、鄒孟婷 (2011)。睡眠時間長短與成人健康風險行爲之探討-給職場工作者之建議。中華職業醫學雜誌,18(3),153-164。
劉貞秀 (2007)。台北縣高職餐飲科學生飲用含糖飲料行為及其影響因素之研究。中國文化大學生活應用科學研究所,臺北。
劉瑞圖(1988)。發展高科技產業之途徑。工業簡訊,20,14-27。
高子晴 (2011)。臺中市國中生飲用含糖飲料行為及其相關因素之研究。國立臺灣師範大學健康促進與衛生教育學系碩士論文,臺北。
蔡佩珊 (2000)。台北市某國中學生飲用含糖飲料行為及其影響因素之研究。國立臺灣師範大學健康促進與衛生教育學系碩士論文,臺北。
薛凱文 (2007)。台北市某國中學生之危害健康含糖飲料飲用行為及其影響因素。國立臺灣師範大學健康促進與衛生教育學系碩士論文,臺北。
謝秀美 (2007)。新莊市國中生優酪乳消費行為及其相關因素研究。國立臺灣師範大學健康促進與衛生教育學系碩士論文,臺北。
簡琬麗 (2017)。某科技大學學生飲用含糖飲料消費行為及其影響因素研究。國立臺灣師範大學健康促進與衛生教育學系碩士論文,臺北。
簡義紋、吳岱穎、林光洋、吳逸帆、郭冠良、季瑋珠(2013)。肥胖的環境與生活型態因素。台灣公共衛生雜誌,32(2),101-113。
蘇秀悅 (2013)。加糖飲料與糖尿病。中華民國糖尿病衛教學會會訊, 9(3),33-34。
蘇郁涵、陳巧筑、陳薏如、張立達 (2008)。台藝大學生購買飲料之行為研究。圖文傳播藝術學報,65-78。
姜明凱、楊宜青、吳晉祥、孫子傑、張尹凡、盧豐華、張智仁 (2008)。台灣地區成人睡眠時數與肥胖的相關性研究。台灣家庭醫學雜誌,18(4), 199-209。
經濟部(2000)。世界高科技產業發展趨勢對我國經貿之影響。2018年7月21日,取自http://ebooks.lib.ntu.edu.tw/1_file/moea/111820/bk005.html。
經濟部工業局 (2000)。食品GMP認證體系規章彙編。2018年5月15日,取自http://taiwanebook.ncl.edu.tw/zh-tw/book/GOV-9910001551/reader。
經濟部統計處(2018)。製造業生產指數-按四大行業及中分類。2018年6月25日,取自http://dmz9.moea.gov.tw/gmweb/common/CommonQuery.aspx?pcode=D。
衛生福利部國民健康署(2017a)。102-105 年國民營養健康狀況變遷調查結果。2018年6月10日,取自https://www.mohw.gov.tw/dl-38434-1f700ea4-1843-4a74-a23c-91b98158d2b0.html。
衛生福利部國民健康署(2017b)。熱又渴!糖飲喝了更渴,傷「心」又傷身。2018年6月10日,取自https://www.mohw.gov.tw/fp-3547-37231-1.html.。
衛生福利部國民健康署(2017c)。國民健康署邀請職場動起來,贏健康拿獎金。2018年7月20日。取自https://www.hpa.gov.tw/Pag
es/Detail.aspx?nodeid=1137&pid=7538。
衛生福利部國民健康署 (2017d)。居民體位及肥胖狀況—成人過重及肥胖盛行率按性別及年齡,2018年6月2日。取自https://dep.mohw.gov.tw/DOS/cp-1720-7372-113.html。
衛生福利部國民健康署 (2017e) 。國民健康署邀請職場動起來,贏健康拿獎金。2018年5月27日,取自https://www.hpa.gov.tw/Pages/Detail.aspx?nodeid=1137&pid=7538。
衛生福利部國民健康署(2018a)。106年國人死因統計結果。2018年6月25日,取自https://www.mohw.gov.tw/cp-16-41794-1.html。
衛生福利部國民健康署 (2018b)。國民飲食指標。2018年6月2日,取自https://www.hpa.gov.tw/Pages/EBook.aspx?nodeid=1217。
衛生福利部國民健康署 (2018c)。健康職場認證。2018年6月3日,取自http://health.hpa.gov.tw/hpa/info/certified.aspx。
衛生福利部國民健康署 (2018d) 。工作挑職場 健康有保障 國健署推動健康職場。2018年9月10日,取自https://www.hpa.gov.tw/Pages/Detail.aspx?nodeid=1405&pid=8589。
衛生福利部食品藥物管理署 (2017)。台灣食品成分資料庫。2018年5月21日,取自https://www.fda.gov.tw/tc/siteList.aspx?sid=284。
董氏基金會 (2014)。果汁多喝,危害不亞於含糖飲料。2018年6月13日,取自https://nutri.jtf.org.tw/index.php?idd=1&aid=46&bid=363&cid=2709。
董氏基金會 (2015) 。“原味”不是你想的那樣!優酪乳/優格市調結果大公開。2018年5月21日,取自https://nutri.jtf.org.tw/index.php?idd=10&aid=2&bid=33&cid=2911。
勞動部 (2018a)。勞動統計年報-105年人力資源概況。2018年6月10日,取自https://www.mol.gov.tw/statistics/2452/2455/32568/。
勞動部 (2018b) 。國際勞動統計-就業者平均每年工時。2018年5月10日,取自http://statdb.mol.gov.tw/html/nat/105006%E8%A1%A81.pdf。
勞動部勞動及職業安全衛生研究所 (2011) 。受僱者工作環境安全衛生狀況認知。2018年6月25日,取自https://www.ilosh.gov.tw。
二、英文部分
Alzaheb, R. A., & Al-Amer, O. (2017). The prevalence of iron deficiency anemia and its associated risk factors among a sample of female university students in Tabuk, Saudi Arabia. Clin Med Insights Womens Health, 10, 1179562X17745088. doi:10.1177/1179562X17745
An, R. (2016). Beverage consumption in relation to discretionary food intake and diet quality among US adults, 2003 to 2012. J Acad Nutr Diet, 116(1), 28-37. doi:10.1016/j.jand.2015.08.009
An, R., & Maurer, G. (2016). Consumption of sugar-sweetened beverages and discretionary foods among US adults by purchase location. Eur J Clin Nutr, 70(12), 1396-1400. doi:10.1038/ejcn.2016.136
Andreyeva, T., Chaloupka, F. J., & Brownell, K. D. (2011). Estimating the potential of taxes on sugar-sweetened beverages to reduce consumption and generate revenue. Prev Med, 52(6), 413-416. doi:10.1016/j.ypmed.2011.03.013
Auerbach, B. J., Littman, A. J., Krieger, J., Young, B. A., Larson, J., Tinker, L., & Neuhouser, M. L. (2018). Association of 100% fruit juice consumption and 3-year weight change among postmenopausal women in the in the Women's health Initiative. Prev Med, 109, 8-10. doi:10.1016/j.ypmed.2018.01.004
Barquera, S., Hernandez-Barrera, L., Rothenberg, S. J., & Cifuentes, E. (2018). The obesogenic environment around elementary schools: Food and beverage marketing to children in two Mexican cities. BMC Public Health, 18(1), 461. doi:10.1186/s12889-018-5374-0
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychol Rev, 84(2), 191-215.
Barrett, P., Imamura, F., Brage, S., Griffin, S. J., Wareham, N. J., & Forouhi, N. G. (2017). Sociodemographic, lifestyle and behavioural factors associated with consumption of sweetened beverages among adults in Cambridgeshire, UK: the Fenland Study. Public Health Nutr, 20(15), 2766-2777. doi:10.1017/S136898001700177X
Bigard, A. X. (2010). Risks of energy drinks in youths. Arch Pediatr, 17(11), 1625-1631. doi:10.1016/j.arcped.2010.08.001
Browne, J., MacDonald, C., Egan, M., Delbridge, R., McAleese, A., Morley, B., & Atkinson, P. (2018). You wouldn't eat 16 teaspoons of sugar-so why drink it? Aboriginal and Torres Strait Islander responses to the LiveLighter sugary drink campaign. Health Promot J Austr. doi:10.1002/hpja.196
Cappelletti, S., Piacentino, D., Fineschi, V., Frati, P., Cipolloni, L., & Aromatario, M. (2018). Caffeine-Related Deaths: Manner of Deaths and Categories at Risk. Nutrients, 10(5). doi:10.3390/nu10050611
Chaput, J. P., Tremblay, M. S., Katzmarzyk, P. T., Fogelholm, M., Hu, G., Maher, C., .Group, I. R. (2018). Sleep patterns and sugar-sweetened beverage consumption among children from around the world. Public Health Nutr, 21(13), 2385-2393. doi:10.1017/S1368980018000976
Charlotte A. Schoenborn, M. P. H., and Patricia F. Adams, Division of Health Interview, & Statistics. (2008). Sleep duration as a correlate of smoking, alcohol use, Leisure-time physical inactivity, and obesity among adults. Centers for Disease Control and Prevention United States, 2004-2006.
Chrysant, S. G., & Chrysant, G. S. (2014). Cardiovascular complications from consumption of high energy drinks: Recent evidence. Journal Of Human Hypertension, 29, 71. doi:10.1038/jhh.2014.47
American Academy of Pediatrics (2011). Sports drinks and energy drinks for children and adolescents: Are they appropriate? Pediatrics, 127(6), 1182-1189. doi:10.1542/peds.2011-0965
da Veiga, G. V., & Sichieri, R. (2006). Correlation in food intake between parents and adolescents depends on socioeconomic level. Nutrition Research, 26(10), 517-523. doi:https://doi.org/10.1016/j.nutres.2006.09.002
Davy, B. M., You, W., Almeida, F., Wall, S., Harden, S., Comber, D. L., & Estabrooks, P. A. (2014). Impact of individual and worksite environmental factors on water and sugar-sweetened beverage consumption among overweight employees. Prev Chronic Dis, 11, E71. doi:10.5888/pcd11.130207
De Schutter, A., Lavie, C. J., & Milani, R. V. (2014). The impact of obesity on risk factors and prevalence and prognosis of coronary heart disease-the obesity paradox. Prog Cardiovasc Dis, 56(4), 401-408. doi:10.1016/j.pcad.2013.08.003
Djiogue, S., Nwabo Kamdje, A. H., Vecchio, L., Kipanyula, M. J., Farahna, M., Aldebasi, Y., & Seke Etet, P. F. (2013). Insulin resistance and cancer: the role of insulin and IGFs. Endocr Relat Cancer, 20(1), R1-R17. doi:10.1530/ERC-12-0324
Durant, D. J., Lowenfels, A., Ren, J., Brissette, I., & Martin, E. G. (2018). Changes in sugary beverage consumption and public perceptions in upstate New York after implementation of a community awareness campaign and healthier vending strategies. J Public Health Manag Pract. doi:10.1097/PHH.0000000000000725
Ebbeling, C. B., Feldman, H. A., Chomitz, V. R., Antonelli, T. A., Gortmaker, S. L., Osganian, S. K., & Ludwig, D. S. (2012). A randomized trial of sugar-sweetened beverages and adolescent body weight. N Engl J Med, 367(15), 1407-1416. doi:10.1056/NEJMoa1203388
ENWHP(2018). European Networkfor Workplace Health Promotion. Retrieved fromhttp://www.enwhp.org/fileadmin/downloads/Image_brochure/ENWHP_Broschuere_englisch.pdf
Fan, F. S. (2016). Iron deficiency anemia due to excessive green tea drinking. Clin Case Rep, 4(11), 1053-1056. doi:10.1002/ccr3.707
Fayet-Moore, F. (2016). Effect of flavored milk vs plain milk on total milk intake and nutrient provision in children. Nutr Rev, 74(1), 1-17. doi:10.1093/nutrit/nuv031
Fayet, F., Ridges, L. A., Wright, J. K., & Petocz, P. (2013). Australian children who drink milk (plain or flavored) have higher milk and micronutrient intakes but similar body mass index to those who do not drink milk. Nutr Res, 33(2), 95-102. doi:10.1016/j.nutres.2012.12.005
Ferguson, R. D., Gallagher, E. J., Scheinman, E. J., Damouni, R., & LeRoith, D. (2013). The epidemiology and molecular mechanisms linking obesity, diabetes, and cancer. Vitam Horm, 93, 51-98. doi:10.1016/B978-0-12-416673-8.00010-1
Gallagher, E. J., & LeRoith, D. (2015). Obesity and Diabetes: The Increased Risk of Cancer and Cancer-Related Mortality. Physiol Rev, 95(3), 727-748. doi:10.1152/physrev.00030.2014
Godin, K. M., Chaurasia, A., Hammond, D., & Leatherdale, S. T. (2018). Food purchasing behaviors and sugar-sweetened beverage consumption among canadian secondary school students in the compass study. J Nutr Educ Behav. doi:10.1016/j.jneb.2017.12.014
Han, E., Kim, T. H., & Powell, L. M. (2013). Beverage consumption and individual-level associations in South Korea. BMC Public Health, 13, 195. doi:10.1186/1471-2458-13-195
Han, E., & Powell, L. M. (2013). Consumption patterns of sugar-sweetened beverages in the United States. J Acad Nutr Diet, 113(1), 43-53. doi:10.1016/j.jand.2012.09.016
Hodge, A. M., Bassett, J. K., Milne, R. L., English, D. R., & Giles, G. G. (2018). Consumption of sugar-sweetened and artificially sweetened soft drinks and risk of obesity-related cancers. Public Health Nutr, 21(9), 1618-1626. doi:10.1017/S1368980017002555
Hu, F. B. (2013). Resolved: there is sufficient scientific evidence that decreasing sugar-sweetened beverage consumption will reduce the prevalence of obesity and obesity-related diseases. Obes Rev, 14(8), 606-619. doi:10.1111/obr.12040
Hua, S. V., Kimmel, L., Van Emmenes, M., Taherian, R., Remer, G., Millman, A., & Ickovics, J. R. (2017). Health promotion and healthier products increase vending purchases: a randomized factorial trial. J Acad Nutr Diet, 117(7), 1057-1065. doi:10.1016/j.jand.2016.12.006
Huang, C., Huang, J., Tian, Y., Yang, X., & Gu, D. (2014). Sugar sweetened beverages consumption and risk of coronary heart disease: a meta-analysis of prospective studies. Atherosclerosis, 234(1), 11-16. doi:10.1016/j.atherosclerosis.2014.01.037
Kim, S. Y., Sim, S., & Choi, H. G. (2017). High stress, lack of sleep, low school performance, and suicide attempts are associated with high energy drink intake in adolescents. PLoS One, 12(11), e0187759. doi:10.1371/journal.pone.0187759
Lien, L., Lien, N., Heyerdahl, S., Thoresen, M., & Bjertness, E. (2006). Consumption of soft drinks and hyperactivity, mental distress, and conduct problems among adolescents in Oslo, Norway. Am J Public Health, 96(10), 1815-1820. doi:10.2105/AJPH.2004.059477
Long, M. W., Gortmaker, S. L., Ward, Z. J., Resch, S. C., Moodie, M. L., Sacks, G., Claire Wang, Y. (2015). Cost effectiveness of a sugar-sweetened beverage excise tax in the U.S. Am J Prev Med, 49(1), 112-123. doi:10.1016/j.amepre.2015.03.004
Ma, J., Fox, C. S., Jacques, P. F., Speliotes, E. K., Hoffmann, U., Smith, C. E., McKeown, N. M. (2015). Sugar-sweetened beverage, diet soda, and fatty liver disease in the Framingham Heart Study cohorts. J Hepatol, 63(2), 462-469. doi:10.1016/j.jhep.2015.03.032
Madiba, T. K., Bhayat, A., & Nkambule, N. R. (2017). Self-reported knowledge, attitude and consumption of sugar-sweetened beverages among undergraduate oral health students at a university in South Africa. J Int Soc Prev Community Dent, 7(Suppl 3), S137-S142. doi:10.4103/jispcd.JISPCD_306_17
Mahmood, M., Saleh, A., Al-Alawi, F., & Ahmed, F. (2008). Health effects of soda drinking in adolescent girls in the United Arab Emirates. J Crit Care, 23(3), 434-440. doi:10.1016/j.jcrc.2008.06.006
Malik, V. S., Popkin, B. M., Bray, G. A., Despres, J. P., & Hu, F. B. (2010). Sugar-sweetened beverages, obesity, type 2 diabetes mellitus, and cardiovascular disease risk. Circulation, 121(11), 1356-1364. doi:10.1161/CIRCULATIONAHA.109.876185
Malik, V. S., Schulze, M. B., & Hu, F. B. (2006). Intake of sugar-sweetened beverages and weight gain: a systematic review. Am J Clin Nutr, 84(2), 274-288. doi:10.1093/ajcn/84.1.274
McGartland, C., Robson, P. J., Murray, L., Cran, G., Savage, M. J., Watkins, D., Boreham, C. (2003). Carbonated soft drink consumption and bone mineral density in adolescence: the Northern Ireland Young Hearts project. J Bone Miner Res, 18(9), 1563-1569. doi:10.1359/jbmr.2003.18.9.1563
Mejia, N., Lightstone, A. S., Basurto-Davila, R., Morales, D. M., & Sturm, R. (2015). Neighborhood food environment, diet, and obesity among Los Angeles county adults, 2011. Prev Chronic Dis, 12, E143. doi:10.5888/pcd12.150078
Mendy, V. L., Vargas, R., Payton, M., & Cannon-Smith, G. (2017). Association between consumption of sugar-sweetened beverages and sociodemographic characteristics among Mississippi adults. Prev Chronic Dis, 14, E137. doi:10.5888/pcd14.170268
Micha, R., Karageorgou, D., Bakogianni, I., Trichia, E., Whitsel, L. P., Story, M., .Mozaffarian, D. (2018). Effectiveness of school food environment policies on children's dietary behaviors: A systematic review and meta-analysis. PLoS One, 13(3), e0194555. doi:10.1371/journal.pone.0194555
Morley, B. C., Niven, P. H., Dixon, H. G., Swanson, M. G., McAleese, A. B., & Wakefield, M. A. (2018). Controlled cohort evaluation of the LiveLighter mass media campaign's impact on adults' reported consumption of sugar-sweetened beverages. BMJ Open, 8(4), e019574. doi:10.1136/bmjopen-2017-019574
Novak, N. L., & Brownell, K. D. (2011). Taxation as prevention and as a treatment for obesity: the case of sugar-sweetened beverages. Curr Pharm Des, 17(12), 1218-1222.
Oksanen, T., Kawachi, I., Subramanian, S., Kim, D., Shirai, K., Kouvonen, A., Kivimaki, M. (2013). Do obesity and sleep problems cluster in the workplace? A multivariate, multilevel study. Scand J Work Environ Health, 39(3), 276-283. doi:10.5271/sjweh.3332
Ostbye, T., Dement, J. M., & Krause, K. M. (2007). Obesity and workers' compensation: Results from the duke health and safety surveillance system. Arch Intern Med, 167(8), 766-773. doi:10.1001/archinte.167.8.766
Otake, M., Sakurai, K., Watanabe, M., & Mori, C. (2018). association between serum folate levels and caffeinated beverage consumption in pregnant women in Chiba: The Japan environment and children's study. J Epidemiol. doi:10.2188/jea.JE20170019
Park, S., Ayala, G. X., Sharkey, J. R., & Blanck, H. M. (2018). Knowledge of health conditions associated with sugar-sweetened beverage intake is low among US Hispanic adults. Am J Health Promot, 890117118774206. doi:10.1177/0890117118774206
Park, S., McGuire, L. C., & Galuska, D. A. (2015). Regional differences in sugar-sweetened beverage intake among US adults. J Acad Nutr Diet, 115(12), 1996-2002. doi:10.1016/j.jand.2015.06.010
Park, S., Onufrak, S., Blanck, H. M., & Sherry, B. (2013). Characteristics associated with consumption of sports and energy drinks among US adults: National Health Interview Survey, 2010. J Acad Nutr Diet, 113(1), 112-119. doi:10.1016/j.jand.2012.09.019
Park, S., Onufrak, S., Sherry, B., & Blanck, H. M. (2014). The relationship between health-related knowledge and sugar-sweetened beverage intake among US adults. J Acad Nutr Diet, 114(7), 1059-1066. doi:10.1016/j.jand.2013.11.003
Park, S., Pan, L., Sherry, B., & Blanck, H. M. (2014). Consumption of sugar-sweetened beverages among US adults in 6 states: Behavioral risk factor surveillance system, 2011. Prev Chronic Dis, 11, E65. doi:10.5888/pcd11.130304
Popkin, B. M., & Hawkes, C. (2016). Sweetening of the global diet, particularly beverages: patterns, trends, and policy responses. The Lancet Diabetes & Endocrinology, 4(2), 174-186. doi:10.1016/s2213-8587(15)00419-2
Prather, A. A., Leung, C. W., Adler, N. E., Ritchie, L., Laraia, B., & Epel, E. S. (2016). Short and sweet: Associations between self-reported sleep duration and sugar-sweetened beverage consumption among adults in the United States. Sleep Health, 2(4), 272-276. doi:10.1016/j.sleh.2016.09.007
Qobadi, M., & Payton, M. (2017). Consumption of sugar-sweetened beverages in mississippi: is there a disparity? Behavioral risk factor surveillance system, 2012. Int J Environ Res Public Health, 14(3). doi:10.3390/ijerph14030228
Samano, R., Rodriguez Ventura, A. L., Godinez Martinez, E. Y., Rivera, B., Medina Flores, M., Sanchez, B., . . . Ramirez, C. (2013). Association of consumption of carbonated beverages and decalcification in woman on reproductive and non-reproductive age of Mexico City. Nutr Hosp, 28(5), 1750-1756. doi:10.3305/nh.2013.28.5.6773
Sampasa-Kanyinga, H., Hamilton, H. A., & Chaput, J. P. (2018). Sleep duration and consumption of sugar-sweetened beverages and energy drinks among adolescents. Nutrition, 48, 77-81. doi:10.1016/j.nut.2017.11.013
Schernhammer, E. S., Hu, F. B., Giovannucci, E., Michaud, D. S., Colditz, G. A., Stampfer, M. J., & Fuchs, C. S. (2005). Sugar-sweetened soft drink consumption and risk of pancreatic cancer in two prospective cohorts. Cancer Epidemiol Biomarkers Prev, 14(9), 2098-2105. doi:10.1158/1055-9965.EPI-05-0059
Schulze, M. B., Manson, J. E., Ludwig, D. S., Colditz, G. A., Stampfer, M. J., Willett, W. C., & Hu, F. B. (2004). Sugar-sweetened beverages, weight gain, and incidence of type 2 diabetes in young and middle-aged women. JAMA, 292(8), 927-934. doi:10.1001/jama.292.8.927
Shareck, M., Lewis, D., Smith, N. R., Clary, C., & Cummins, S. (2018). Associations between home and school neighbourhood food environments and adolescents' fast-food and sugar-sweetened beverage intakes: findings from the olympic regeneration in East London (ORiEL) Study. Public Health Nutr, 21(15), 2842-2851. doi:10.1017/S1368980018001477
Singh, G. M., Micha, R., Khatibzadeh, S., Lim, S., Ezzati, M., Mozaffarian, D., . . . Chronic Diseases Expert, G. (2015). Estimated global, regional, and national disease burdens related to sugar-sweetened beverage consumption in 2010. Circulation, 132(8), 639-666. doi:10.1161/CIRCULATIONAHA.114.010636
Sohyun Park , F. X., Machell Town, Heidi M. Blanck. (2016). Prevalence of sugar-sweetened beverage intake among adults — 23 states and the district of columbia, 2013. Centers for Disease Control and Prevention, 65(7), 169–174.
Taber, D. R., Chriqui, J. F., Vuillaume, R., & Chaloupka, F. J. (2014). How state taxes and policies targeting soda consumption modify the association between school vending machines and student dietary behaviors: a cross-sectional analysis. PLoS One, 9(8), e98249. doi:10.1371/journal.pone.0098249
Taber, D. R., Dulin-Keita, A., Fallon, M., Chaloupka, F. J., Andreyeva, T., Schwartz, M. B., & Harris, J. L. (2018). Society of behavioral medicine (sbm) position statement: enact taxes on sugar sweetened beverages to prevent chronic disease. Transl Behav Med. doi:10.1093/tbm/iby035
Tasevska, N., DeLia, D., Lorts, C., Yedidia, M., & Ohri-Vachaspati, P. (2017). Determinants of sugar-sweetened beverage consumption among low-income children: are there differences by race/ethnicity, age, and sex? J Acad Nutr Diet, 117(12), 1900-1920. doi:10.1016/j.jand.2017.03.013
Van Nuys, K., Globe, D., Ng-Mak, D., Cheung, H., Sullivan, J., & Goldman, D. (2014). The association between employee obesity and employer costs: evidence from a panel of U.S. employers. Am J Health Promot, 28(5), 277-285. doi:10.4278/ajhp.120905-QUAN-428
Vu, H. T., Ufere, N., Yan, Y., Wang, J. S., Early, D. S., & Elwing, J. E. (2014). Diabetes mellitus increases risk for colorectal adenomas in younger patients. World J Gastroenterol, 20(22), 6946-6952. doi:10.3748/wjg.v20.i22.6946
Wickramasekaran, R. N., Robles, B., Dewey, G., & Kuo, T. (2018). Evaluating the potential health and revenue outcomes of a 100% healthy vending machine nutrition policy at a large agency in los angeles county, 2013-2015. J Public Health Manag Pract, 24(3), 215-224. doi:10.1097/PHH.0000000000000702
World Health Organization (2018).The top 10 causes of death . Retrieved fromhttp://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death
World Health Organization (2015). Sugars intake for adults and children
Guideline . Retrieved from http://www.who.int/nutrition/publications/guidelines/sugars_intake/en/
World Health Organization (1999). Regional guidelines for the development of healthy workplaces. Retrieved from http://www.who.int/occupational_health/publications/wproguidelines/en/
Woodward-Lopez, G., Kao, J., & Ritchie, L. (2011). To what extent have sweetened beverages contributed to the obesity epidemic? Public Health Nutr, 14(3), 499-509. doi:10.1017/S1368980010002375
Xi, B., Li, S., Liu, Z., Tian, H., Yin, X., Huai, P., . . . Steffen, L. M. (2014). Intake of fruit juice and incidence of type 2 diabetes: a systematic review and meta-analysis. PLoS One, 9(3), e93471. doi:10.1371/journal.pone.0093471
Yarborough, C. M., 3rd, Brethauer, S., Burton, W. N., Fabius, R. J., Hymel, P., Kothari, S., Ording, J. (2018). Obesity in the workplace: impact, outcomes, and recommendations. J Occup Environ Med, 60(1), 97-107. doi:10.1097/JOM.0000000000001220
Zoellner, J., You, W., Connell, C., Smith-Ray, R. L., Allen, K., Tucker, K. L., Estabrooks, P. (2011). Health literacy is associated with healthy eating index scores and sugar-sweetened beverage intake: findings from the rural Lower Mississippi Delta. J Am Diet Assoc, 111(7), 1012-1020. doi:10.1016/j.jada.2011.04.010