Phyllis M. Reid
University of Arizona
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Phyllis M. Reid.
Medicine and Science in Sports and Exercise | 2001
Lisa K. Staten; Douglas Taren; Wanda H. Howell; Maribel Tobar; Eric T. Poehlman; A. Hill; Phyllis M. Reid; Cheryl Ritenbaugh
PURPOSE Physical activity questionnaires (PAQs) are considered the most cost-efficient method to estimate total energy expenditure (TEE) in epidemiological studies. However, relatively few PAQs have been validated using doubly labeled water (DLW) in women or in samples with diverse ethnic backgrounds. This study was conducted to validate the Arizona Activity Frequency Questionnaire (AAFQ) for estimation of TEE and physical activity energy expenditure (PAEE) over 1 month using DLW as a reference method. METHODS Thirty-five relatively sedentary women completed the AAFQ before participating in an 8-d DLW protocol to measure TEE. TEE and PAEE were estimated from the AAFQ by calculating resting metabolic rate (RMR) using the equation of Mifflin et al. (AAFQmif), by measuring RMR using indirect calorimetry (AAFQic), and using MET conversion (AAFQmet). A predictive equation for TEE was generated. RESULTS The mean +/- SD for TEE and PAEE from DLW were 9847 +/- 2555 kJ x d(-1) and 5578 +/- 2084 kJ x d(-1), respectively. Formulas using RMR to calculate the TEE and PAEE from the AAFQ tended to underestimate TEE and PAEE, whereas those that included only weight tended to overestimate TEE and PAEE. On the basis of the Mifflin et al. equation, the AAFQ tends to underestimate PAEE by 13%. This underestimation may be explained by the low lean body mass of the sample population and by effectiveness of the METs/RMR ratio in the obese. The following predictive equation was calculated: TEE (kJ x d(-1)) = (86.0 * average total daily METs) + (2.23 * RMRmif) - 6726. When the predictive equation is used, TEE calculated from the AAFQ is highly correlated with DLW TEE (adjusted r(2) = 0.70, P < 0.001). CONCLUSION The AAFQ is an effective tool for the prediction of TEE and PAEE in epidemiological studies.
European Journal of Clinical Nutrition | 2001
Judith L. Weber; Phyllis M. Reid; Kathryn A. Greaves; Jp DeLany; Vanessa A. Stanford; Scott B. Going; Wanda H. Howell; Linda Houtkooper
Objective: To compare self-reported total energy intake (TEI) estimated using two databases with total energy expenditure (TEE) measured by doubly labeled water in physically active lean and sedentary obese young women, and to compare reporting accuracy between the two subject groups.Design: A cross-sectional study in which dietary intakes of women trained in diet-recording procedures were analyzed using the Minnesota Nutrition Data System (NDS; versions 2.4/6A/21, 2.6/6A/23 and 2.6/8.A/23) and Nutritionist III (N3; version 7.0) software. Reporting accuracy was determined by comparison of average TEI assessed by an 8 day estimated diet record with average TEE for the same period.Results: Reported TEI differed from TEE for both groups irrespective of nutrient database (P<0.01). Measured TEE was 11.10±2.54 and 11.96±1.21 MJ for lean and obese subjects, respectively. Reported TEI, using either database, did not differ between groups. For lean women, TEI calculated by NDS was 7.66±1.73 MJ and by N3 was 8.44±1.59 MJ. Corresponding TEI for obese women were 7.46±2.17 MJ from NDS and 7.34±2.27 MJ from N3. Lean women under-reported by 23% (N3) and 30% (NDS), and obese women under-reported by 39% (N3) and 38% (NDS). Regardless of database, lean women reported higher carbohydrate intakes, and obese women reported higher total fat and individual fatty acid intakes. Higher energy intakes from mono- and polyunsaturated fatty acids were estimated by NDS than by N3 in both groups of women (P≤0.05).Conclusions: Both physically active lean and sedentary obese women under-reported TEI regardless of database, although the magnitude of under-reporting may be influenced by the database for the lean women.Sponsorship: USDA Hatch Project award (ARZT-136528-H-23-111) to LB Houtkooper and WH Howell.European Journal of Clinical Nutrition (2001) 55, 940–950
Journal of Parenteral and Enteral Nutrition | 2002
Carrie P. Earthman; Phyllis M. Reid; Ingeborg T. Harper; Eric Ravussin; Wanda H. Howell
BACKGROUND The aim of this study was to measure changes in body cell mass (BCM) and quality of life in HIV-infected individuals undergoing oxandrolone therapy. Previous studies on oxandrolone have neither quantified changes in BCM using criterion methods nor quality of life using an HIV-specific instrument. METHODS Twenty-five HIV-infected patients (15 with an AIDS diagnosis) on standard antiretroviral and nutrition management were studied before and an average of 18.6 weeks after the initiation of oxandrolone therapy, as prescribed by their primary care physician for the treatment of weight loss. BCM was estimated from intracellular water measured by multiple dilution. Lean soft tissue mass (LTM) was measured by dual-energy X-ray absorptiometry. Quality of life was evaluated by the Functional Assessment of HIV Infection (FAHI) questionnaire. RESULTS Significant gains in body weight (2.6 +/- 3.0 kg; p < .0001), BCM (3.6 +/- 3.0 kg; p < .0001), and LTM (3.0 +/- 2.9 kg; p < .0001) occurred over an average course of 18.6 weeks of treatment. Overall quality of life improved (p = .056) and appetite improved (p = .032), both of which were positively associated with weight gain (p = .040 and p = .022, respectively). CONCLUSIONS This is the first study involving oxandrolone therapy in HIV infection to document changes in quality of life and BCM, the metabolically active component of lean body mass that reflects nutritional status better than other more global body composition parameters. Nutritional status and quality of life can improve in HIV-infected individuals receiving a combined therapeutic approach that includes oxandrolone.
Journal of The American College of Nutrition | 2000
Zaida R. Cordero-MacIntyre; Timothy G. Lohman; Jason Rosen; Warren Peters; Richard C. España; Barbara Dickinson; Phyllis M. Reid; Wanda H. Howell; Maria Luz Fernandez
Background: Changes in plasma lipid and lipoprotein distributions that occur after menopause increase the risk of cardiovascular disease in women, especially in those who are overweight. Objective: The purpose of this study was to evaluate the impact of a nine-month weight reduction program on plasma lipids, dietary intake and abdominal fat obesity. Design: A partial crossover design was used to study a weight loss treatment consisting of Phentermine hydrochloride (Fastin®, SmithKline Beecham Pharmaceuticals, Philadelphia, PA) therapy plus a low energy diet (5040 kJ/d). Forty-seven obese, postmenopausal Caucasian women (BMI of 30–38 kg/m2) were randomized into two groups, both of which received drug and diet treatment over six months. However, Group I started the intervention program three months later than Group II. Plasma total, HDL and LDL cholesterol and triacylglycerol were measured, body composition was assessed by anthropometry and dual energy x-ray absorptiometry, and food frequency records were collected at four timepoints. Results: Over nine months, women in Group II reduced body weight (14.4%), lowered plasma concentrations of LDL cholesterol (14% to 26%) and triacylglycerol (15%) and raised plasma HDL cholesterol concentration (15%). These plasma lipid changes decreased the total cholesterol/HDL cholesterol ratio from 4.3 to 3.2. All subjects decreased abdominal fat measurements and energy and cholesterol intakes, as well as percentage of energy derived from total and saturated fat during the study. Most subjects also increased dietary fiber consumption. Conclusion: Both weight loss and diet modifications are associated with an improved plasma lipid profile in obese postmenopausal women.
Journal of Applied Physiology | 2000
Carrie P. Earthman; James R. Matthie; Phyllis M. Reid; Ingeborg T. Harper; Eric Ravussin; Wanda H. Howell
European Journal of Nutrition | 2005
Cynthia A. Thomson; Cheryl L. Rock; Anna R. Giuliano; Tara R. Newton; Haiyan Cui; Phyllis M. Reid; Tina Green; David S. Alberts
Food Chemistry | 2002
Magdi Osman; Phyllis M. Reid; C. W. Weber
Journal of Nutrition | 1994
Ron C.A.J.M. Hoogeveen; Scott K. Reaves; Phyllis M. Reid; B. L. Reid; Kai Y. Lei
Medicine and Science in Sports and Exercise | 1999
Wanda H. Howell; C. Earthman; Phyllis M. Reid; K. Greaves; J. Delany; Linda Houtkooper
Journal of The American Dietetic Association | 2007
Cynthia A. Thomson; Tara R. Newton; Ellen Graver; Kelly A. Jackson; Phyllis M. Reid; Vernon L. Hartz; Ellen Cussler; Iman A. Hakim