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Connection

Rajani Sadasivam to Smokers

This is a "connection" page, showing publications Rajani Sadasivam has written about Smokers.
Connection Strength

3.244
  1. Kamberi A, Weitz B, Flahive J, Eve J, Najjar R, Liaghat T, Ford D, Lindenauer P, Person S, Houston TK, Gauvey-Kern ME, Lobien J, Sadasivam RS. Testing a Machine Learning-Based Adaptive Motivational System for Socioeconomically Disadvantaged Smokers (Adapt2Quit): Protocol for a Randomized Controlled Trial. JMIR Res Protoc. 2025 Apr 16; 14:e63693.
    View in: PubMed
    Score: 0.895
  2. Sadasivam RS, Kamberi A, DeLaughter K, Phillips B, Williams JH, Cutrona SL, Ray MN, Gilbert GH, Houston TK. Secure Asynchronous Communication Between Smokers and Tobacco Treatment Specialists: Secondary Analysis of a Web-Assisted Tobacco Intervention in the QUIT-PRIMO and National Dental PBRN Networks. J Med Internet Res. 2020 05 06; 22(5):e13289.
    View in: PubMed
    Score: 0.635
  3. Stevens EM, Lee DN, Stevens H, Sadasivam RS. The role of mood in shaping reactions to smoking cessation messages among adults who smoke: a multimodal investigation. BMC Public Health. 2024 10 18; 24(1):2872.
    View in: PubMed
    Score: 0.216
  4. Nagawa CS, Ito Fukunaga M, Faro JM, Liu F, Anderson E, Kamberi A, Orvek EA, Davis M, Pbert L, Cutrona SL, Houston TK, Sadasivam RS. Characterizing Pandemic-Related Changes in Smoking Over Time in a Cohort of Current and Former Smokers. Nicotine Tob Res. 2023 01 05; 25(2):203-210.
    View in: PubMed
    Score: 0.191
  5. Faro JM, Chen J, Flahive J, Nagawa CS, Orvek EA, Houston TK, Allison JJ, Person SD, Smith BM, Blok AC, Sadasivam RS. Effect of a Machine Learning Recommender System and Viral Peer Marketing Intervention on Smoking Cessation: A Randomized Clinical Trial. JAMA Netw Open. 2023 01 03; 6(1):e2250665.
    View in: PubMed
    Score: 0.191
  6. Nagawa CS, Wang B, Davis M, Pbert L, Cutrona SL, Lemon SC, Sadasivam RS. Examining pathways between family or peer factors and smoking cessation in a nationally representative US?sample of adults with mental health conditions who smoke: a structural equation analysis. BMC Public Health. 2022 08 17; 22(1):1566.
    View in: PubMed
    Score: 0.186
  7. Chen J, Houston TK, Faro JM, Nagawa CS, Orvek EA, Blok AC, Allison JJ, Person SD, Smith BM, Sadasivam RS. Evaluating the use of a recommender system for selecting optimal messages for smoking cessation: patterns and effects of user-system engagement. BMC Public Health. 2021 09 26; 21(1):1749.
    View in: PubMed
    Score: 0.175
  8. Faro JM, Nagawa CS, Orvek EA, Smith BM, Blok AC, Houston TK, Kamberi A, Allison JJ, Person SD, Sadasivam RS. Comparing recruitment strategies for a digital smoking cessation intervention: Technology-assisted peer recruitment, social media, ResearchMatch, and smokefree.gov. Contemp Clin Trials. 2021 04; 103:106314.
    View in: PubMed
    Score: 0.167
  9. Nagawa CS, Emidio OM, Lapane KL, Houston TK, Barton BA, Faro JM, Blok AC, Orvek EA, Cutrona SL, Smith BM, Allison JJ, Sadasivam RS. Teamwork for smoking cessation: which smoker was willing to engage their partner? Results from a cross-sectional study. BMC Res Notes. 2020 Jul 20; 13(1):344.
    View in: PubMed
    Score: 0.161
  10. Blok AC, Sadasivam RS, Hogan TP, Patterson A, Day N, Houston TK. Nurse-Driven mHealth Implementation Using the Technology Inpatient Program for Smokers (TIPS): Mixed Methods Study. JMIR Mhealth Uhealth. 2019 10 04; 7(10):e14331.
    View in: PubMed
    Score: 0.152
  11. Blok AC, Sadasivam RS, Amante DJ, Kamberi A, Flahive J, Morley J, Conigliaro J, Houston TK. Gamification to Motivate the Unmotivated Smoker: The "Take a Break" Digital Health Intervention. Games Health J. 2019 Aug; 8(4):275-284.
    View in: PubMed
    Score: 0.149
  12. Williams JH, DeLaughter K, Volkman JE, Sadasivam RS, Ray MN, Gilbert GH, Houston TK. Exploring Online Asynchronous Counseling With Tobacco Treatment Specialists in the QUIT-PRIMO and National Dental PBRN HI-QUIT Studies: Who Uses It and What Do They Say? Am J Health Promot. 2018 06; 32(5):1170-1177.
    View in: PubMed
    Score: 0.124
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.