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The Bariatric Surgery Patient: A Growing Role for Registered Dietitians

Doina Kulick, Lisa Hark, Darwin Deen
<span title="">2010</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/xhi3lgqtnfelzk2c5sj45fqgaa" style="color: black;">Journal of the American Dietetic Association</a> </i> &nbsp;
Kulick, MD, MS, FACP, University of Nevada School of Medicine, 2009, used with permission.  ...  portion size ϳ1 cup) • 48-64 fluid oz/day of clear liquids (noncarbonated, calorie-free, caffeine-free) • No beverages 30 minutes before eating and 30 to 60 minutes after eating • Chew foods well Source: Doina  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jada.2009.12.021">doi:10.1016/j.jada.2009.12.021</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/20338285">pmid:20338285</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/blssqrp4afcjvg4fj6kawvwr3y">fatcat:blssqrp4afcjvg4fj6kawvwr3y</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170808134500/http://www.ossanz.co.nz/pdfs/bariatric%20surgery%20a%20growing%20role%20for%20dietitians%20JADA%202010.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/97/e6/97e6b73d85a52f00a7f1cfb338cf5abbeba0ca49.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.jada.2009.12.021"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> elsevier.com </button> </a>

A Smart System for the Contactless Measurement of Energy Expenditure

Mark Sprowls, Shaun Victor, Sabrina Jimena Mora, Oscar Osorio, Gabriel Pyznar, Hugo Destaillats, Courtney Wheatley-Guy, Bruce Johnson, Doina Kulick, Erica Forzani
<span title="2022-02-10">2022</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
Energy Expenditure (EE) (kcal/day), a key element to guide obesity treatment, is measured from CO2 production, VCO2 (mL/min), and/or O2 consumption, VO2 (mL/min). Current technologies are limited due to the requirement of wearable facial accessories. A novel system, the Smart Pad, which measures EE via VCO2 from a room's ambient CO2 concentration transients was evaluated. Resting EE (REE) and exercise VCO2 measurements were recorded using Smart Pad and a reference instrument to study
more &raquo; ... duration's influence on accuracy. The Smart Pad displayed 90% accuracy (±1 SD) for 14–19 min of REE measurement and for 4.8–7.0 min of exercise, using known room's air exchange rate. Additionally, the Smart Pad was validated measuring subjects with a wide range of body mass indexes (BMI = 18.8 to 31.4 kg/m2), successfully validating the system accuracy across REE's measures of ~1200 to ~3000 kcal/day. Furthermore, high correlation between subjects' VCO2 and λ for CO2 accumulation was observed (p < 0.00001, R = 0.785) in a 14.0 m3 sized room. This finding led to development of a new model for REE measurement from ambient CO2 without λ calibration using a reference instrument. The model correlated in nearly 100% agreement with reference instrument measures (y = 1.06x, R = 0.937) using an independent dataset (N = 56).
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s22041355">doi:10.3390/s22041355</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/35214262">pmid:35214262</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC8963031/">pmcid:PMC8963031</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/q4c4i3oa6vbszdoryuletlfhum">fatcat:q4c4i3oa6vbszdoryuletlfhum</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20220217180759/https://mdpi-res.com/d_attachment/sensors/sensors-22-01355/article_deploy/sensors-22-01355-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/e8/b2/e8b20d289fddd93572beff6471336030c1e48466.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s22041355"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963031" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Assessing metabolic rate and indoor air quality with passive environmental sensors

Iván Ruiz, Mark Sprowls, Yue Deng, Doina Kulick, Hugo Destaillats, Erica S Forzani
<span title="2018-04-04">2018</span> <i title="IOP Publishing"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/qvn4jppbevbx7p53c56rtfoqlu" style="color: black;">Journal of Breath Research</a> </i> &nbsp;
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1088/1752-7163/aaaec9">doi:10.1088/1752-7163/aaaec9</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/29434055">pmid:29434055</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/wlcftazbdnbrjgnquifjwiacpq">fatcat:wlcftazbdnbrjgnquifjwiacpq</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201103052503/https://escholarship.org/content/qt7qx2p706/qt7qx2p706.pdf?t=qazz7n" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/85/68/8568b9a23b34f131462b15331200644cb261b795.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1088/1752-7163/aaaec9"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="external alternate icon"></i> iop.org </button> </a>

An Unobstructive Sensing Method for Indoor Air Quality Optimization and Metabolic Assessment within Vehicles

Yue Deng, Mark Sprowls, S. Jimena Mora, Doina Kulick, Nongjian Tao, Hugo Destaillats, Erica Forzani
<span title="2020-12-16">2020</span> <i title="MDPI AG"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/taedaf6aozg7vitz5dpgkojane" style="color: black;">Sensors</a> </i> &nbsp;
This work investigates the use of an intelligent and unobstructive sensing technique for maintaining vehicle cabin's indoor air quality while simultaneously assessing the driver metabolic rate. CO2 accumulation patterns are of great interest because CO2 can have negative cognitive effects at higher concentrations and also since CO2 accumulation rate can potentially be used to determine a person's metabolic rate. The management of the vehicle's ventilation system was controlled by periodically
more &raquo; ... ternating the air recirculation mode within the cabin, which was actuated based on the CO2 levels inside the vehicle's cabin. The CO2 accumulation periods were used to assess the driver's metabolic rate, using a model that considered the vehicle's air exchange rate. In the process of the method optimization, it was found that the vehicle's air exchange rate (λ [h−1]) depends on the vehicle speeds, following the relationship: λ = 0.060 × (speed) − 0.88 when driving faster than 17 MPH. An accuracy level of 95% was found between the new method to assess the driver's metabolic rate (1620 ± 140 kcal/day) and the reference method of indirect calorimetry (1550 ± 150 kcal/day) for a total of N = 16 metabolic assessments at various vehicle speeds. The new sensing method represents a novel approach for unobstructive assessment of driver metabolic rate while maintaining indoor air quality within the vehicle cabin.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s20247202">doi:10.3390/s20247202</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/33339222">pmid:33339222</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC7766572/">pmcid:PMC7766572</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/yz27holdtvgpxm6u62ewum2usu">fatcat:yz27holdtvgpxm6u62ewum2usu</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20201219222815/https://res.mdpi.com/d_attachment/sensors/sensors-20-07202/article_deploy/sensors-20-07202-v2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/6c/58/6c58937b7a6f18caa5d59c60342cff648785cef3.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.3390/s20247202"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> mdpi.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766572" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Effects of body mass index-related disorders on cognition: preliminary results

Jerome Yesavage, Lisa Kinoshita, Art Noda, Laura Lazzeroni, Jennifer Fairchild, Joy Taylor, Doina Kulick, Jauhtai Cheng, Jamie Zeitzer, Leah Friedman, Ruth O'Hara
<span title="">2014</span> <i title="Dove Medical Press Ltd."> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/7otwjb7q4fdn7bciawlceqikby" style="color: black;">Diabetes, Metabolic Syndrome and Obesity : Targets and Therapy</a> </i> &nbsp;
Yesavage and Fairchild drafted the article and Kinoshita, Lazzeroni, Taylor, Kulick, Friedman, Cheng, Zeitzer, O'Hara and Noda revised the article critically for important intellectual content.  ...  Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy 2014:7 submit your manuscript | www.dovepress.com Dovepress Dovepress , Kinoshita, Fairchild, Taylor, Kulick, Friedman, Cheng, Zeitzer  ... 
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2147/dmso.s60294">doi:10.2147/dmso.s60294</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/24855383">pmid:24855383</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4020904/">pmcid:PMC4020904</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/gtm5eocmendzhmjjed77vjssmi">fatcat:gtm5eocmendzhmjjed77vjssmi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190222051717/http://pdfs.semanticscholar.org/340e/3d2b2ebce7546a1683d310772e4c0a0cb6c2.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/34/0e/340e3d2b2ebce7546a1683d310772e4c0a0cb6c2.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.2147/dmso.s60294"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> Publisher / doi.org </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4020904" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Evaluation of a Thermal-Based Flow Meter for Assessment of Mobile Resting Metabolic Rate Measures

Nai-Yuan Liu, Yue Deng, Francis Tsow, Devon Bridgeman, Xiaojun Xian, Jane J. Dean, Janet L. Wilson, Nongjian Tao, Doina Kulick, Erica Forzani
<span title="2018-10-09">2018</span> <i title="Hindawi Limited"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zlknqk4ahbcsthbafxw55emm7a" style="color: black;">Journal of Sensors</a> </i> &nbsp;
This work evaluates the use of a new flow meter to assess exhalation rate. A mobile indirect calorimeter (MIC) was designed and used to measure resting metabolic rate (RMR), which relies on the measure of O2 consumption rate (VO2) and CO2 production rate (VCO2). The device was produced from a commercially available and well-established indirect calorimeter and implemented with a new flow meter for the purpose of this study. VO2 and VCO2 were assessed by measuring exhalation rates using the new
more &raquo; ... low meter and O2 and CO2 concentrations in breath using the original colorimetric sensors of the indirect calorimeter. The new flow meter was based on a thermal flow meter (TFM) affixed to an orifice with a diameter of 6.8 mm used as a passage for exhaled breath from 16 subjects. The results were compared with a metabolic cart (Medical Graphics), which was connected in series to the modified device. We found that 69% of the results had more than a 10% difference between the modified MIC device and the reference instrument, suggesting that the sensitivity of the thermal flow meter changed over time, which precluded its use as a flow meter for breath flow rate measurement.
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2018/9186475">doi:10.1155/2018/9186475</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/zsdwrjvgo5dmpnvuqeskf25hsi">fatcat:zsdwrjvgo5dmpnvuqeskf25hsi</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20190504232113/http://downloads.hindawi.com/journals/js/2018/9186475.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/88/0b/880b398dcd3004fa9b385198cfdb73697ec6b9fa.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1155/2018/9186475"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> hindawi.com </button> </a>

Live well: a practical and effective low-intensity dietary counseling intervention for use in primary care patients with dyslipidemia - a randomized controlled pilot trial

Doina Kulick, Robert D Langer, Judith M Ashley, Kim M Gans, Karen Schlauch, Chad Feller
<span title="2013-05-12">2013</span> <i title="Springer Nature"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zkydxdwws5cqngcwaaz4j34tbe" style="color: black;">BMC Family Practice</a> </i> &nbsp;
Diet is the first line of treatment for elevated cholesterol. High-intensity dietary counseling (≥360 minutes/year of contact with providers) improves blood lipids, but is expensive and unsustainable in the current healthcare settings. Low-intensity counseling trials (≤ 30 minutes/year) have demonstrated modest diet changes, but no improvement in lipids. This pilot study evaluated the feasibility and the effects on lipids and diet of a low-intensity dietary counseling intervention provided by
more &raquo; ... e primary care physician (PCP), in patients at risk for cardiovascular diseases. Methods: Six month study with a three month randomized-controlled phase (group A received the intervention, group B served as controls) followed by three months of intervention in both groups. Sixty-one adults age 21 to 75 years, with LDL-cholesterol ≥ 3.37 mmol/L, possessing Internet access and active email accounts were enrolled. Diet was evaluated using the Rate-Your-Plate questionnaire. Dietary counseling was provided by the PCP during routine office visits, three months apart, using printed educational materials and a minimally interactive counseling website. Weekly emails were sent reminding participants to use the dietary counseling resources. The outcomes were changes in LDL-cholesterol, other lipid subclasses, and diet quality. Results: At month 3, group A (counseling started at month 1) decreased their LDL-cholesterol by −0.23 mmol/L, (−0.04 to −0.42 mmol/L, P = 0.007) and total cholesterol by −0.26 mmol/L, (−0.05 to −0.47 mmol/L, P = 0.001). At month 6, total and LDL-cholesterol in group A remained better than in group B (counseling started at month 3). Diet score in group A improved by 50.3 points (38.4 to 62.2, P < 0.001) at month 3; and increased further by 11.8 (3.5 to 20.0, P = 0.007) at month 6. Group B made the largest improvement in diet at month 6, 55 points (40.0 to 70.1, P < 0.001), after having a small but significant improvement at month 3, 22.3 points (12.9 to 31.7, P < 0.001). No significant changes occurred in HDL-cholesterol in either group. Conclusions: A low-intensity dietary counseling provided by the PCP in patients at risk for cardiovascular diseases produced clinically meaningful improvements in both diet and lipids of magnitude similar to changes reported with high intensity interventions. Trial registration: ClinicalTrials.gov: NCT01695837
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1471-2296-14-59">doi:10.1186/1471-2296-14-59</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/23663789">pmid:23663789</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC3662581/">pmcid:PMC3662581</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/tigocey6hvfljk3tuo6wplh53a">fatcat:tigocey6hvfljk3tuo6wplh53a</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170829222423/https://bmcfampract.biomedcentral.com/track/pdf/10.1186/1471-2296-14-59?site=http://bmcfampract.biomedcentral.com" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/5b/8e/5b8ebfe89d669409210a011daa841e4c38fc1878.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1186/1471-2296-14-59"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> springer.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3662581" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Lipoprotein particles and size, total and high molecular weight adiponectin, and leptin in relation to incident coronary heart disease among severely obese postmenopausal women: The Women's Health Initiative Observational Study

Rachel H. Mackey, Kathleen M. McTigue, Yuefang F. Chang, Emma Barinas-Mitchell, Rhobert W. Evans, Lesley F. Tinker, Cora E. Lewis, JoAnn E. Manson, Marcia L. Stefanick, Barbara V. Howard, Lawrence S. Phillips, Simin Liu (+2 others)
<span title="">2015</span> <i title="Elsevier BV"> <a target="_blank" rel="noopener" href="https://fatcat.wiki/container/zb3maxjmyreqtj4kj7fwiqpmhy" style="color: black;">BBA Clinical</a> </i> &nbsp;
Background: We hypothesized that higher concentrations of LDL particles (LDL-P) and leptin, and lower concentrations of HDL particles (HDL-P), and total and high molecular weight (HMW) adiponectin, would predict incident coronary heart disease (CHD) among severely obese postmenopausal women. Methods: In a case-cohort study nested in the Women's Health Initiative Observational Study, we sampled 677 of the 1852 white or black women with body mass index (BMI) ≥ 40 kg/m 2 and no prevalent
more &raquo; ... ular disease (CVD), including all 124 cases of incident CHD over mean 5.0 year follow-up. Biomarkers were assayed on stored blood samples. Results: In multivariable-adjusted weighted Cox models, higher baseline levels of total and small LDL-P, and lower levels of total and medium HDL-P, and smaller mean HDL-P size were significantly associated with incident CHD. In contrast, large HDL-P levels were inversely associated with CHD only for women without diabetes, and higher total and HMW adiponectin levels and lower leptin levels were associated with CHD only for women with diabetes. Higher total LDL-P and lower HDL-P were associated with CHD risk independently of confounders including CV risk factors and other lipoprotein measures, with adjusted HR (95% CIs) of 1.55 (1.28, 1.88) and 0.70 (0.57, 0.85), respectively, and similar results for medium HDL-P. Conclusions: Higher CHD risk among severely obese postmenopausal women is strongly associated with modifiable concentrations of LDL-P and HDL-P, independent of diabetes, smoking, hypertension, physical activity, BBA Clinical 3 (2015) 243-250 ☆
<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.bbacli.2015.03.005">doi:10.1016/j.bbacli.2015.03.005</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/25825692">pmid:25825692</a> <a target="_blank" rel="external noopener" href="https://pubmed.ncbi.nlm.nih.gov/PMC4375554/">pmcid:PMC4375554</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/obbekb6g6fhqrlhp7f5y6gxp3i">fatcat:obbekb6g6fhqrlhp7f5y6gxp3i</a> </span>
<a target="_blank" rel="noopener" href="https://web.archive.org/web/20170930162159/http://publisher-connector.core.ac.uk/resourcesync/data/elsevier/pdf/924/aHR0cDovL2FwaS5lbHNldmllci5jb20vY29udGVudC9hcnRpY2xlL3BpaS9zMjIxNDY0NzQxNTAwMDE5Nw%3D%3D.pdf" title="fulltext PDF download" data-goatcounter-click="serp-fulltext" data-goatcounter-title="serp-fulltext"> <button class="ui simple right pointing dropdown compact black labeled icon button serp-button"> <i class="icon ia-icon"></i> Web Archive [PDF] <div class="menu fulltext-thumbnail"> <img src="https://blobs.fatcat.wiki/thumbnail/pdf/0e/cd/0ecd61f0bd8265907b38af501c102e1dc225e9c7.180px.jpg" alt="fulltext thumbnail" loading="lazy"> </div> </button> </a> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1016/j.bbacli.2015.03.005"> <button class="ui left aligned compact blue labeled icon button serp-button"> <i class="unlock alternate icon" style="background-color: #fb971f;"></i> elsevier.com </button> </a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4375554" title="pubmed link"> <button class="ui compact blue labeled icon button serp-button"> <i class="file alternate outline icon"></i> pubmed.gov </button> </a>

Effects of body mass index-related disorders on cognition: preliminary results

Jerome Yesavage, Lisa Kinoshita, Art Noda, Laura Lazzeroni, Jennifer Fairchild, Joy Taylor, Doina Kulick, Jauhtai Cheng, Jamie Zeitzer, Leah Friedman, Ruth O'hara
<i title="Dove Medical Press Ltd."> Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy </i> &nbsp; <span class="release-stage">unpublished</span>
Yesavage and Fairchild drafted the article and Kinoshita, Lazzeroni, Taylor, Kulick, Friedman, Cheng, Zeitzer, O'Hara and Noda revised the article critically for important intellectual content.  ...  Author contributions Yesavage, Kinoshita, Fairchild, Taylor, Kulick, Friedman, Cheng, Zeitzer, and O'Hara made substantial contributions to the conception and design of the article; Noda and Lazzeroni  ... 
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<span title="">1993</span> <i > <a target="_blank" rel="noopener" href="https://archive.org/details/pub_linguistics-and-language-behavior-abstracts-llba" style="color: black;">Linguistics and Language Behavior Abstracts: LLBA </a> </i> &nbsp;
DA9236510. 9309526 Lecca, Doina, Discourse, Power and Intonation, Analele Universitdtii Bucuresti.  ...  ., all rights re- served.) 9309523 Kulick, Don (Dept Child Studies U Linképing, S-58183 Sweden), Anger, Gender, Language Shift and the Politics of Revelation in a Pa- pua New Guinean Village, Pragmatics  ... 
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