{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T11:42:59Z","timestamp":1777376579752,"version":"3.51.4"},"reference-count":14,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2016,7,1]],"date-time":"2016-07-01T00:00:00Z","timestamp":1467331200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Am J Health Promot"],"published-print":{"date-parts":[[2016,7]]},"abstract":"<jats:sec>\n                    <jats:title>Purpose:<\/jats:title>\n                    <jats:p>To evaluate changes in employees\u2019 biometrics over time relative to outcome-based incentive thresholds.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design:<\/jats:title>\n                    <jats:p>Retrospective cohort analysis of biometric screening participants (n = 26 388).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Setting:<\/jats:title>\n                    <jats:p>Large employer primarily in Western United States.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Participants:<\/jats:title>\n                    <jats:p>Office, retail, and distribution workforce.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Intervention:<\/jats:title>\n                    <jats:p>A voluntary outcome-based biometric screening program, incentivized with health insurance premium discounts.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Measures:<\/jats:title>\n                    <jats:p>Body mass index (BMI), cholesterol, blood glucose, blood pressure, and nicotine.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Analysis:<\/jats:title>\n                    <jats:p>Followed were participants from their first year of participation, evaluating changes in measures.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>On average, participants who did not meet the incentive threshold at baseline decreased their BMI (1%), glucose (8%), blood pressure (systolic 9%, diastolic 8%), and total cholesterol (8%) by year 2 with improvements generally sustained or continued during each additional year of participation.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>On average, individuals at high health risk who participated in a financially incentivized biometric assessment program improved their health indices over time. Further research is needed to understand key determinants that drive health improvement indicated here.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/0890117116658241","type":"journal-article","created":{"date-parts":[[2017,7,14]],"date-time":"2017-07-14T16:10:33Z","timestamp":1500048633000},"page":"453-457","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":12,"title":["Trends in Biometric Health Indices Within an Employer-Sponsored Wellness Program With Outcome-Based Incentives"],"prefix":"10.1177","volume":"30","author":[{"given":"Patricia Lin","family":"Fu","sequence":"first","affiliation":[{"name":"Nuna Inc, San Francisco, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kent L.","family":"Bradley","sequence":"additional","affiliation":[{"name":"BTN Advisors, Fort Collins, CO, USA"},{"name":"Dignity Health, San Francisco, CA, USA"},{"name":"US HealthWorks, Valencia, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sheila","family":"Viswanathan","sequence":"additional","affiliation":[{"name":"Zipongo Inc, San Francisco, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"June M.","family":"Chan","sequence":"additional","affiliation":[{"name":"Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA"},{"name":"Department of Urology, University of California San Francisco, San Francisco, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Meir","family":"Stampfer","sequence":"additional","affiliation":[{"name":"Channing Division of Network Medicine, Department of Medicine, Brigham and Women\u2019s Hospital, Harvard School of Public Health, Epidemiology, and Nutrition, Harvard Medical School, Boston, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2016,7]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.7249\/RR254"},{"issue":"17","key":"e_1_3_3_3_2","first-page":"369","article-title":"Centers for Disease Control and Prevention (CDC). 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