Tania Paulette Markovic

Dr. Tania Paulette Markovic

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Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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17 November 2014 in Obesity Reviews
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Journal Article
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AGAlice Gibson
Alice Gibson
RSRadhika Seimon
Radhika Seimon
CLC. M. Y. Lee
C. M. Y. Lee
JAJ. Ayre
J. Ayre
JFJ. Franklin
J. Franklin
Amanda Sainsbury-SalisAmanda Sainsbury-Salis
Amanda Sainsbury-Salis

30 May 2018 in Nutrients
Verified
Journal Article
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JMJovana Mijatovic
Jovana Mijatovic
LCLouise Capling
Louise Capling
SCSonia Cheng
Sonia Cheng
ESEmmanuel Stamatakis
Emmanuel Stamatakis
Jimmy Chun Yu LouieJimmy Chun Yu Louie
Jimmy Chun Yu Louie
Victoria FloodVictoria Flood
Victoria Flood
Rising rates of gestational diabetes mellitus (GDM) and related complications have prompted calls to identify potentially modifiable risk factors that are associated with gestational diabetes mellitus (GDM). We systematically reviewed the scientific literature for observational studies examining specific dietary and/or physical activity (PA) factors and risk of GDM. Our search included PubMed, Medline, CINAHL/EBSCO, Science Direct and EMBASE, and identified 1167 articles, of which 40 met our inclusion criteria (e.g., singleton pregnancy, reported diet or PA data during pre-pregnancy/early pregnancy and GDM as an outcome measure). Studies were assessed for quality using a modified Quality Criteria Checklist from American Dietetic Association. Of the final 40 studies, 72% obtained a positive quality rating and 28% were rated neutral. The final analysis incorporated data on 30,871 pregnant women. Dietary studies were categorised into either caffeine, carbohydrate, fat, protein, calcium, fast food and recognized dietary patterns. Diets such as Mediterranean Diet (MedDiet), Dietary Approaches to Stop Hypertension (DASH) diet and Alternate Healthy Eating Index diet (AHEI) were associated with 15–38% reduced relative risk of GDM. In contrast, frequent consumption of potato, meat/processed meats, and protein (% energy) derived from animal sources was associated with an increased risk of GDM. Compared to no PA, any pre-pregnancy or early pregnancy PA was associated with 30% and 21% reduced odds of GDM, respectively. Engaging in >90 min/week of leisure time PA before pregnancy was associated with 46% decreased odds of GDM. We conclude that diets resembling MedDiet/DASH diet as well as higher PA levels before or in early pregnancy were associated with lower risks or odds of GDM respectively. The systematic review was registered at PROSPERO (www.crd.york.ac.uk/PROSPERO) as CRD42016027795.

15 October 2011 in Diabetes Care
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Journal Article
Open access
Jimmy Chun Yu LouieJimmy Chun Yu Louie
Jimmy Chun Yu Louie
TMTania Paulette Markovic
Tania Paulette Markovic
NPNimalie Perera
Nimalie Perera
DFDeborah Foote
Deborah Foote
PPPeter Petocz
Peter Petocz
Jennie Brand-MillerJennie Brand-Miller
Jennie Brand-Miller
OBJECTIVE: The prevalence of gestational diabetes mellitus (GDM) is rising. There is little evidence to demonstrate the effectiveness of one dietary therapy over another. We aimed to investigate the effect of a low–glycemic index (LGI) versus a conventional high-fiber diet on pregnancy outcomes, neonatal anthropometry, and maternal metabolic profile in GDM. RESEARCH DESIGN AND METHODS: Ninety-nine women (age 26–42 years; mean ± SD prepregnancy BMI 24 ± 5 kg/m2) diagnosed with GDM at 20–32 weeks’ gestation were randomized to follow either an LGI (n = 50; target glycemic index [GI] ~50) or a high-fiber moderate-GI diet (HF) (n = 49; target GI ~60). Dietary intake was assessed by 3-day food records. Pregnancy outcomes were collected from medical records. RESULTS: The LGI group achieved a modestly lower GI than the HF group (mean ± SEM 47 ± 1 vs. 53 ± 1; P < 0.001). At birth, there was no significant difference in birth weight (LGI 3.3 ± 0.1 kg vs. HF 3.3 ± 0.1 kg; P = 0.619), birth weight centile (LGI 52.5 ± 4.3 vs. HF 52.2 ± 4.0; P = 0.969), prevalence of macrosomia (LGI 2.1% vs. HF 6.7%; P = 0.157), insulin treatment (LGI 53% vs. HF 65%; P = 0.251), or adverse pregnancy outcomes. CONCLUSIONS: In intensively monitored women with GDM, an LGI diet and a conventional HF diet produce similar pregnancy outcomes.

1 May 1998 in Diabetes Care
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Journal Article
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TMTania Paulette Markovic
Tania Paulette Markovic
AJArthur B Jenkins
Arthur B Jenkins
LCLesley V Campbell
Lesley V Campbell
SFStuart M Furler
Stuart M Furler
EKEdward W Kraegen
Edward W Kraegen
DCDonald J Chisholm
Donald J Chisholm
OBJECTIVE To examine the mechanisms by which weight loss improves glycemic control in overweight subjects with NIDDM, particularly the relationships between energy restriction, improvement in insulin sensitivity, andregional and overall adipose tissue loss. RESEARCH DESIGN AND METHODS Hyperinsulinemic glucose clamps wereperformed in 20 subjects (BMI = 32.0 ± 0.5 [SEM] kg/m2, age = 48.4 ± 2.7 years) with normal glucose tolerance (NGT) (n = 10) or mild NIDDM (n = 10) before and on the 4th (d4) and 28th (d28) days of a reduced-energy (1,100 ± 250 [SD] kcal/day) formula diet. Body composition changes were assessed by dual energy x-ray absorptiometry and insulin secretory changes were measured by insulin response to intravenous glucose before and after weight loss. RESULTS In both groups, energy restriction (d4) reduced fasting plasma glucose (FPG) (ΔFPG: NGT = −0.4 ± 0.2 mmol/1 and NIDDM = −1.1 ± 0.03 mmol/1, P = 0.002), which was independently related to reduced carbohydrate intake (partial r = 0.64, P = 0.003). There was a marked d4 increase in percent of insulin suppression of hepatic glucose output(HGO) in both groups (ΔHGO suppression: NGT = 28 ± 15% and NIDDM = 32 ± 8%, P = 0.002). By d28, with 6.3 ± 0.4 kg weight loss, FPG was further reduced (d4 vs. d28) in NIDDM only (P = 0.05), and insulin sensitivity increased in both groups (P = 0.02). Only loss of abdominal fat related to improvements in FPG (r = 0.51, P = 0.03) and insulin sensitivity afterweight loss (r = 0.48, P = 0.05). In contrast to insulin action, there were only small changes in insulin secretion. CONCLUSIONS Both energy restriction and weight loss have beneficial effects on insulin action and glycemic control in obesity and mild NIDDM. The effect of energy restriction is related to changes in individual macronutrients, whereas weight loss effects relate to changes in abdominal fat.

1 April 2015 in The American Journal of Clinical Nutrition
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NFNick Fuller
Nick Fuller
ICIan D Caterson
Ian D Caterson
Amanda Sainsbury-SalisAmanda Sainsbury-Salis
Amanda Sainsbury-Salis
GDGareth Denyer
Gareth Denyer
MFMackenzie Fong
Mackenzie Fong
TMTania Paulette Markovic
Tania Paulette Markovic
Background: Previously published research that examined the effects of high egg consumption in people with type 2 diabetes (T2D) produced conflicting

21 February 1997 in Diabetologia
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Journal Article
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AJA. B. Jenkins
A. B. Jenkins
TMTania Paulette Markovic
Tania Paulette Markovic
AFA. Fleury
A. Fleury
LCL. V. Campbell
L. V. Campbell