Su Lin Lim

Dr. Su Lin Lim


Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

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

Representative Publications

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1 June 2012 in Clinical Nutrition
Verified
Journal Article
Closed access
SLSu Lin Lim
Su Lin Lim
KOKian Chung Benjamin Ong
Kian Chung Benjamin Ong
YCYiong Huak Chan
Yiong Huak Chan
WLWai Chiong Loke
Wai Chiong Loke
MFMaree Ferguson
Maree Ferguson
LDL. Daniels
L. Daniels

12 March 2019 in Journal of Alzheimer’s Disease
Verified
Journal Article
Closed access
PDF file
Lei FengLei Feng
Lei Feng
ICIrwin Kee-Mun Cheah
Irwin Kee-Mun Cheah
MNMaisie Mei-Xi Ng
Maisie Mei-Xi Ng
JLJialiang Li
Jialiang Li
SCSue Mei Chan
Sue Mei Chan
BHBarry Halliwell
Barry Halliwell
We examined the cross-sectional association between mushroom intake and mild cognitive impairment (MCI) using data from 663 participants aged 60 and above from the Diet and Healthy Aging (DaHA) study in Singapore. Compared with participants who consu

24 September 2015 in Supportive Care in Cancer
Verified
Journal Article
Closed access
PDF file
JLJia Li Charmaine Lee
Jia Li Charmaine Lee
LLLai Peng Leong
Lai Peng Leong
SLSu Lin Lim
Su Lin Lim

1 June 2021 in JAMA Network Open
Verified
Journal Article
Open access
PDF file
SLSu Lin Lim
Su Lin Lim
KOKai Wen Ong
Kai Wen Ong
JJJolyn Johal
Jolyn Johal
CHChad Yixian Han
Chad Yixian Han
QYQai Ven Yap
Qai Ven Yap
CKChin Meng Khoo
Chin Meng Khoo
Lifestyle interventions delivered by health care professionals to promote weight loss are recommended as a key treatment in type 2 diabetes management.1-3 Medical nutrition therapy, in particular, improves weight and metabolic outcomes.4-6 Weight loss in turn improves insulin resistance associated with diabetes-related metabolic disorders,3,7 with glycemic improvements observed at 3% weight loss,8,9 and is particularly relevant in Asian populations with increasing rates of obesity.10,11 Traditionally, lifestyle interventions involve multiple face-to-face sessions, which tend to be labor-intensive and require facilities planning.12,13 Studies have shown that travel distances, time constraints, and costs are factors detracting from the effectiveness of lifestyle interventions, with drop-out rates as high as 35%.14,15

13 April 2020 in JMIR mHealth and uHealth
Verified
Journal Article
Open access
SLSu Lin Lim
Su Lin Lim
JJJolyn Johal
Jolyn Johal
KOKai Wen Ong
Kai Wen Ong
CHChad Yixian Han
Chad Yixian Han
YCYiong Huak Chan
Yiong Huak Chan
WLWai Mun Loo
Wai Mun Loo
Background: The prevalence of nonalcoholic fatty liver disease (NAFLD) reaches up to 30% in the Asian adult population, with a higher prevalence in obese patients. Weight reduction is typically recommended for patients at high risk or diagnosed with NAFLD, but is a challenge to achieve. Objective: We aimed to evaluate the effect of a lifestyle intervention with a mobile app on weight loss in NAFLD patients. Methods: This prospective randomized controlled trial included 108 adults with NAFLD confirmed by steatosis on ultrasound and a body mass index ≥23 kg/m2 who were recruited from a fatty liver outpatient clinic. The patients were randomly allocated to either a control group (n=53) receiving standard care, consisting of dietary and lifestyle advice by a trained nurse, or an intervention group (n=55) utilizing the Nutritionist Buddy (nBuddy) mobile app in addition to receiving dietary and lifestyle advice by a dietitian. Body weight, alanine aminotransferase (ALT), aspartate aminotransferase (AST), waist circumference, and blood pressure were measured at baseline, and then at 3 and 6 months. Intention-to-treat and per-protocol analyses were used for statistical comparisons. Results: The intervention group had a 5-fold higher likelihood (relative risk 5.2, P=.003, 95% CI 1.8-15.4) of achieving ≥5% weight loss compared to the control group at 6 months. The intervention group also showed greater reductions in weight (mean 3.2, SD 4.1 kg vs mean 0.5, SD 2.9 kg; P<.001), waist circumference (mean 2.9, SD 5.0 cm vs mean –0.7, SD 4.4 cm; P<.001), systolic blood pressure (mean 12.4, SD 14.8 mmHg vs mean 2.4, SD 12.4 mmHg; P=.003), diastolic blood pressure (mean 6.8, SD 8.9 mmHg vs mean –0.9, SD 10.0 mmHg; P=.001), ALT (mean 33.5, SD 40.4 IU/L vs mean 11.5, SD 35.2 IU/L; P=.004), and AST (mean 17.4, SD 27.5 U/L vs mean 7.4, SD 17.6 IU/L, P=.03) at 6 months. Conclusions: Lifestyle intervention enabled by a mobile app can be effective in improving anthropometric indices and liver enzymes in patients with NAFLD. This treatment modality has the potential to be extended to a larger population scale. Trial Registration: Australian New Zealand Clinical Trials Registry ACTRN12617001001381; https://tinyurl.com/w9xnfmp

24 January 2022 in Frontiers in Nutrition
Verified
Journal Article
Open access
SLSu Lin Lim
Su Lin Lim
KOKai Wen Ong
Kai Wen Ong
JJJolyn Johal
Jolyn Johal
CHChad Yixian Han
Chad Yixian Han
QYQai Ven Yap
Qai Ven Yap
CKChin Meng Khoo
Chin Meng Khoo
Introduction: Landmark studies have established that lifestyle interventions focused on weight loss, diet modification and physical activity can prevent diabetes progression. However, the effectiveness of mobile health application among Asians with prediabetes remains largely unexamined. We aimed to assess whether a smartphone app-based lifestyle intervention program would lead to weight loss, normoglycemia and improved metabolic indices in a multiethnic Asian population with prediabetes.Research Design and Methods: This multicentre prediabetes RCT is part of the Diabetes Lifestyle Intervention using Technology Empowerment (D'LITE) trial. Adults (n = 148) with prediabetes and BMI ≥ 23 kg/m2 were randomly allocated either to the intervention group (n = 72) empowered by self-monitoring features of the Nutritionist Buddy Diabetes app with in-app dietitian coaching for 6 months, or the control group (n = 76) receiving standard diet counseling at baseline. Primary outcome was defined as change in body weight at 6 months, while secondary outcomes included glycemic control and other metabolic indices analyzed using Generalized Linear Mixed Model analysis with intention-to-treat approach.Results: Intervention group achieved a significantly greater weight loss of 4.2 vs. 1.3 kg [mean difference of −3.1 kg (95% CI −4.5 to −1.7), p < 0.001], and a 4.3-fold increased likelihood of achieving ≥ 5% weight loss, as compared to the control group at 6 months. The likelihood of achieving normoglycemia (defined as HbA1c < 5.7%) was 2.1 times higher in intervention group than in the control group (p < 0.018). Changes to blood pressure, total and LDL cholesterol were not statistically significant.Conclusion: An app-based lifestyle program led to clinically significant weight loss and improved glycemia, and can potentially augment current standard care in the prevention of diabetes among an Asian multiethnic population.Clinical Trial Registration: anzctr.org.au, identifier: ACTRN12617001112358.