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Dive into the research topics where Amanda Patterson is active.

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Featured researches published by Amanda Patterson.


Australian and New Zealand Journal of Public Health | 2000

The Anti Cancer Council of Victoria FFQ: Relative validity of nutrient intakes compared with weighed food records in young to middle-aged women in a study of iron supplementation

Allison Hodge; Amanda Patterson; Wendy J. Brown; Paul Ireland; Graham G. Giles

Objective:To assess the validity of the Anti Cancer Council of Victoria food frequency questionnaire (ACCVFFQ) relative to seven‐day weighed food records (WFRs) in 63 women of child‐bearing age.


Journal of The American College of Nutrition | 2001

Dietary and Supplement Treatment of Iron Deficiency Results in Improvements in General Health and Fatigue in Australian Women of Childbearing Age

Amanda Patterson; Wendy J. Brown; David C. K. Roberts

Objective: To examine the effects of iron deficiency and its treatment by iron supplementation or a high iron diet on fatigue and general health measures in women of childbearing age. Design: Randomised controlled trial to compare supplement and dietary treatment of iron deficiency. Subjects: 44 iron deficient (serum ferritin <15 μg/L or serum ferritin 15–20 μg/L, plus two of the following: serum iron <10 μmol/L, total iron binding capacity >68 μmol/L or transferrin saturation <15%) and 22 iron replete (hemoglobin ≥120 g/L and serum ferritin >20 μg/L) women 18 to 50 years of age were matched for age and parity. Interventions: Iron deficient women were randomly allocated to either iron supplementation or a high iron diet for 12 weeks. Measures of Outcome: Iron deficient and iron replete participants had iron studies performed and completed the Piper Fatigue Scale (PFS) and the SF-36 general health and well-being questionnaire at baseline (T0), following the 12 week intervention (T1) and again after a six-month non-intervention phase (T2). The SF-36 includes measures of physical (PCS) and mental (MCS) health and vitality (VT). Results: MCS and VT scores were lower and PFS scores were higher for iron deficient women (diet and supplement groups) than iron replete women at baseline. Both intervention groups showed similar improvements in MCS, VT and PFS scores during the intervention phase, but mean increases in serum ferritin were greater in the supplement than the diet group. PCS scores were not related to iron status. Conclusions: Treatment of iron deficiency with either supplementation or a high iron diet results in improved mental health and decreased fatigue among women of childbearing age.


British Journal of Cancer | 2006

The views and practice of oncologists towards nutritional support in patients receiving chemotherapy

A Spiro; Christine Baldwin; Amanda Patterson; Jane Thomas; H. J. N Andreyev

Malnutrition in patients with cancer is common and an adverse prognostic indicator. A questionnaire answered by 357 (72%) UK specialist oncological trainees suggests that they lack the ability to identify factors that place patients at risk from malnutrition. Major barriers to effective nutritional practice included lack of guidelines, knowledge and time.


Quality of Life Research | 2000

Iron deficiency, general health and fatigue: Results from the Australian Longitudinal Study on Women's Health

Amanda Patterson; Wendy J. Brown; Jennifer R. Powers; David C. K. Roberts

Associations between self-reported ‘low iron’, general health and well-being, vitality and tiredness in women, were examined using physical (PCS) and mental (MCS) component summary and vitality (VT) scores from the MOS short-form survey (SF-36). 14,762 young (18–23 years) and 14,072 mid-age (45–50 years) women, randomly selected from the national health insurance commission (Medicare) database, completed a baseline mailed self-report questionnaire and 12,328 mid-age women completed a follow-up questionnaire 2 years later. Young and mid-age women who reported (ever) having had ‘low iron’ reported significantly lower mean PCS, MCS and VT scores, and greater prevalence of ‘constant tiredness’ at baseline than women with no history of iron deficiency [Differences: young PCS = −2.2, MCS = −4.8, VT = −8.7; constant tiredness: 67% vs. 45%; mid-age PCS = −1.4, MCS = −3.1, VT = −5.9; constant tiredness: 63% vs. 48%]. After adjusting for number of children, chronic conditions, symptoms and socio-demographic variables, mean PCS, MCS and VT scores for mid-age women at follow-up were significantly lower for women who reported recent iron deficiency (in the last 2 years) than for women who reported past iron deficiency or no history of iron deficiency [Means: PCS – recent = 46.6, past = 47.8, never = 47.7; MCS – recent = 45.4, past = 46.9, never = 47.4; VT – recent = 54.8, past = 57.6, never = 58.6]. The adjusted mean change in PCS, MCS and VT scores between baseline and follow-up were also significantly lower among mid-age women who reported iron deficiency only in the last 2 years (i.e. recent iron deficiency) [Mean change: PCS = −3.2; MCS = −2.1; VT = −4.2]. The results suggest that iron deficiency is associated with decreased general health and well-being and increased fatigue.


BMC Women's Health | 2011

Disparities exist between National food group recommendations and the dietary intakes of women

Michelle L. Blumfield; Alexis J. Hure; Lesley MacDonald-Wicks; Amanda Patterson; Roger Smith; Clare E. Collins

BackgroundPreconception and pregnancy dietary intakes can influence the health of future generations. In this study we compared the food intakes of reproductive-aged women by pregnancy status, to current Australian recommendations.MethodsData are from the Australian Longitudinal Study on Womens Health, younger cohort aged 25-30 years in 2003, with self-reported status as pregnant (n = 606), trying to conceive (n = 454), given birth in the last 12 months (n = 829) or other (n = 5597). Diet was assessed using a validated 74-item food frequency questionnaire. Food group servings and nutrient intakes were compared to the Australian Guide to Healthy Eating (AGHE) and Australian Nutrient Reference Values (NRVs).ResultsNo women met all AGHE food group recommendations. Highest adherence rates [mean (95% CI) servings/day] were for meat [85%, 1.9(1.8-1.9)], fruit [44%, 2.1(2.1-2.2)] and dairy [35%, 1.8(1.8-1.9)], with < 14% meeting remaining recommendations. Women who achieved NRVs (folate, iron, calcium, zinc, fibre) for pregnancy, breastfeeding and adult life stages were 1.5%, 3.3% and 13.7%, respectively. Compared to AGHE, women consumed more servings of fruit (4.9 vs 4.0;P = 0.034) and dairy (3.4 vs 2.0;P = 0.006) to achieve pregnancy NRVs; more dairy (2.9 vs 2.0;P = 0.001), less fruit (3.9 vs 5.0;P < .001) and vegetables (3.4 vs 7.0;P < .001) to achieve breastfeeding NRVs; more fruit (3.6 vs 3.0;P < .001), dairy (2.5 vs 2.0;P < .001), meat (1.8 vs 1.5;P = 0.015), less vegetables (3.6 vs 5.0;P < .001) to achieve adult NRVs.ConclusionsThe AGHE does not align with contemporary diets of Australian women or enable them to meet all NRVs. Current tools to guide food consumption by women during pregnancy require revision.


Trials | 2014

Recruitment and retention of young women into nutrition research studies: practical considerations

Alecia J. Leonard; Melinda J. Hutchesson; Amanda Patterson; Kerry A. Chalmers; Clare E. Collins

BackgroundSuccessful recruitment and retention of participants into research studies is critical for optimising internal and external validity. Research into diet and lifestyle of young women is important due to the physiological transitions experienced at this life stage. This paper aims to evaluate data related to recruitment and retention across three research studies with young women, and present practical advice related to recruiting and retaining young women in order to optimise study quality within nutrition research.MethodsRecruitment and retention strategies used in three nutrition studies that targeted young women (18 to 35 years) were critiqued. A randomised controlled trial (RCT), a crossover validation study and a cross-sectional survey were conducted at the University of Newcastle, Australia between 2010 and 2013Successful recruitment was defined as maximum recruitment relative to time. Retention was assessed as maximum participants remaining enrolled at study completion.ResultsRecruitment approaches included notice boards, web and social network sites (Facebook and Twitter), with social media most successful in recruitment. The online survey had the highest recruitment in the shortest time-frame (751 participants in one month). Email, phone and text message were used in study one (RCT) and study two (crossover validation) and assisted in low attrition rates, with 93% and 75.7% completing the RCT and crossover validation study respectively. Of those who did not complete the RCT, reported reasons were: being too busy; and having an unrelated illness.ConclusionRecruiting young women into nutrition research is challenging. Use of social media enhances recruitment, while Email, phone and text message contact improves retention within interventions. Further research comparing strategies to optimise recruitment and retention in young women, including flexible testing times, reminders and incentives is warranted.


Journal of Obesity | 2013

Diet Quality, Measured by Fruit and Vegetable Intake, Predicts Weight Change in Young Women

Haya Aljadani; Amanda Patterson; David Sibbritt; Melinda J. Hutchesson; Megan E. Jensen; Clare E. Collins

This study investigates the relationship between diet quality and weight gain in young women. Young women (n = 4,287, with 1,356 women identified as plausible subsample aged 27.6 ± 1.5 years at baseline) sampled from the Australian Longitudinal Study on Womens Health study completed food frequency questionnaires in 2003, which were used to evaluate diet quality using three indices: Australian Recommended Food Score (ARFS), Australian Diet Quality Index (Aus-DQI), and Fruit and Vegetable Index (FAVI). Weight was self-reported in 2003 and 2009. Multivariate linear regression was used to examine the association between tertiles of each diet quality index and weight change from 2003 to 2009. The ARFS and FAVI were significant predictors of 6-year weight change in this group of young women, while Aus-DQI did not predict weight change (P > 0.05). In the fully adjusted model, those who were in the top tertile of the ARFS significantly gained lower weight gain compared with the lower tertile for the plausible TEI sub-sample (β = −1.6 kg (95% CI: −2.67 to −0.56), P = 0.003). In the fully adjustment model, young women were classified in the highest FAVI tertile and gained significantly less weight than those in the lowest tertile for the plausible TEI (β = −1.6 kg (95% CI: −2.4 to −0.3) P = 0.01). In conclusion, overall diet quality measured by the ARFS and the frequency and variety of fruit and vegetable consumption may predict long-term weight gain in young women. Therefore, health promotion programs encouraging frequent consumption of a wide variety of fruits and vegetables are warranted.


European Journal of Clinical Nutrition | 2005

Socio-demographic inequalities in the diets of mid-aged Australian women

Gita D. Mishra; Kylie Ball; Amanda Patterson; Wendy J. Brown; Allison Hodge; Annette Dobson

Objectives: This study reports on the distributions of food and nutrient intakes by socio-demographic factors for a large population sample of mid-aged Australian women participating in the Australian Longitudinal Study on Womens Health.Design: This cross-sectional population-based study used the Cancer Council of Victoria food frequency questionnaires to derive estimates of food and nutrient intakes.Setting: Nationwide community-based survey.Subjects: A total of 10561 women aged 50−55 y, at the time of the survey in 2001.Results: Analysis showed favourable patterns of food intake, with frequent consumption of many foods that are promoted as components of a healthy diet (eg, fresh fruit, leafy green and other vegetables, bread, cereals, milk and meat). Intakes of both foods and nutrients varied significantly across socio-demographic groups, with unmarried women, and women in ‘labouring’ occupations (eg, cleaner, factory worker, kitchenhand) having poorer nutrient intake.Conclusions: Although many mid-aged women in this sample had generally healthful diets, women in certain socio-demographic groups (particularly unmarried women and those in labouring occupations) had nutrient intakes of concern. As well as helping to address the dearth of current data on dietary intakes in the Australian population, the results highlight the need for continued targeted public health strategies aimed at improving diet of women from the various socio-economic backgrounds.


Appetite | 2014

The effect of nutrition knowledge and dietary iron intake on iron status in young women

Alecia J. Leonard; Kerry A. Chalmers; Clare E. Collins; Amanda Patterson

UNLABELLED Previous research on the relationships between general nutrition knowledge and dietary intake, and dietary iron intake and iron status has produced inconsistent results. Currently, no study has focused on knowledge of dietary iron and its effect on dietary iron intake. OBJECTIVES This study aimed to determine whether nutrition knowledge of iron is related to dietary iron intake in young women, and subsequently whether greater knowledge and intake translates into better iron status. METHODS A cross-sectional assessment of nutrition knowledge of iron, dietary iron intake and iron status was conducted in women aged 18-35 years living in Newcastle, NSW, Australia. Iron status was assessed by serum ferritin, haemoglobin, soluble transferrin receptor and alpha-1-glycoprotein. RESULTS One hundred and seven women (27.8 ± 4.7 years) completed the nutrition knowledge questionnaire and FFQ. Of these, 74 (70%) also had biomarkers of iron status measured. Mean iron intake was 11.2 ± 3.8 mg/day. There was no association between nutrition knowledge score and whether the women met the RDI for iron (F (1, 102) = .40, P = .53). A positive correlation was shown between nutrition knowledge score and iron intake (mg/day) (r = 0.25, P = .01). Serum ferritin was positively associated with the frequency of flesh food intake (r = .27 P = .02). Vegetarians (including partial vegetarians) had significantly lower serum ferritin levels than non-vegetarians (F (1, 71) = 7.44, P = .01). CONCLUSIONS Significant positive correlations found between higher flesh food intake and biomarkers of iron status suggest that educating non-vegetarians about the benefits of increased flesh food consumption and vegetarians about dietary iron enhancers and inhibitors may have potential for addressing the high rates of iron deficiency among young women.


Nutrients | 2014

A study of the effects of latent iron deficiency on measures of cognition: a pilot randomised controlled trial of iron supplementation in young women.

Alecia J. Leonard; Kerry A. Chalmers; Clare E. Collins; Amanda Patterson

Rates of iron deficiency are high amongst healthy young women. Cognitive impairment occurs secondary to iron deficiency in infants and children, but evaluation of the impact on cognition among young women is inconsistent. The aim was to determine the suitability of the IntegNeuro test battery for assessing cognitive function in iron-deficient and iron-sufficient young women. A pilot double-blinded, placebo-controlled intervention trial was conducted in iron-deficient (serum ferritin ≤ 20 μg/L and haemoglobin > 120 g/L) and iron-sufficient young women (18–35 years). Cognitive function and haematological markers of iron status were measured at baseline and follow-up. Iron-deficient participants (n = 24) were randomised to receive placebo, 60 mg or 80 mg elemental iron daily supplements for 16 weeks. A control group of iron-sufficient participants (n = 8) was allocated to placebo. Change scores for Impulsivity and Attention were significantly greater in plasma ferritin improvers than in non-improvers (p = 0.004, p = 0.026). IntegNeuro was easy to administer and acceptable to young women. Based on the differences in Memory and Attention scores between iron-deficient participants on iron treatment and those on placebo, it was decided that between 26 and 84 participants would be required in each iron treatment group for an adequately powered extension of this pilot RCT.

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Mark McEvoy

University of Newcastle

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Wendy J. Brown

University of Queensland

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