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1.
Nutr Res Rev ; 35(1): 136-149, 2022 06.
Article in English | MEDLINE | ID: mdl-34100353

ABSTRACT

The negative impact of stunting and severe underweight on cognitive neurodevelopment of children is well documented; however, the effect of overweight/obesity is still unclear. The 2018 Global Nutrition Report reported that stunting and overweight concurrently affect 189 million children worldwide. As existing reviews discuss undernutrition and overweight/obesity separately, this scoping review aims to document the impact of mild/moderate and severe underweight, stunting, and overweight/obesity among children aged 0-60 months on their cognitive neurodevelopmental trajectories. Twenty-six articles were analysed to extract significant information from literature retrieved from PubMed and Cochrane databases published from 1 January 2009 to 31 October 2019. Length gain is associated with cognitive neurodevelopment in normo-nourished and stunted children aged under 24 months. Among stunted children, it seems that cognitive and neurodevelopmental deficits can potentially be recovered before 8 years of age, particularly in those whose nutritional status has improved. The impact of overweight/obesity on cognitive neurodevelopment appears to be limited to attention, gross motor skills and executive control. Parental education level, birth weight/length, breastfeeding duration, and sanitation level are some identifiable factors that modify the impact of undernutrition and overweight/obesity on cognitive and neurodevelopment. In conclusion, underweight, stunting and overweight/obesity have a significant impact on cognitive neurodevelopment. Multidimensional approaches with various stakeholders should address all issues simultaneously, such as improving sanitation levels, assuring parental job security and adequate social welfare, and providing access to adequate nutrients for catch-up growth among underweight or stunted children and to affordable healthy foods for those who are overweight/obese and from low socio-economic status.


Subject(s)
Malnutrition , Thinness , Child , Cognition , Growth Disorders/epidemiology , Growth Disorders/etiology , Humans , Malnutrition/complications , Nutritional Status , Obesity , Overweight/complications , Thinness/complications
2.
J Nutr Health Aging ; 25(3): 374-381, 2021.
Article in English | MEDLINE | ID: mdl-33575731

ABSTRACT

OBJECTIVES: To determine the overlapping prevalence of malnutrition and sarcopenia and the association between parameters of malnutrition with muscle mass and strength in a community-dwelling Singaporean adult population. DESIGN: This was a cross-sectional study. SETTING: Large north-eastern residential town of Yishun in Singapore. PARTICIPANTS: Random sampling of community-dwelling Singaporeans aged 21-90 years old (n=541). MEASUREMENTS: Anthropometry, body composition and handgrip strength (muscle strength) were measured. Sarcopenia was identified using dual-energy x-ray absorptiometry scan (muscle mass). Nutritional status was measured using Mini Nutritional Assessment (MNA-SF). Other questionnaires collected included physical activity and cognition. Associations between nutritional status with sarcopenia as well as with muscle mass and strength were analysed using multinomial logistics and linear regressions. RESULTS: The overall population-adjusted prevalence of those at nutritional risk and malnourished were 18.5% and 0.1% respectively. More than a third of participants (35%) who were at nutritional risk were sarcopenic. Malnourished participants were all sarcopenic (100%, N=2) whereas those who were sarcopenic, 27.0% (N=37) were at nutritional risk/malnourished. Being at nutritional risk/malnourished was significantly associated with 2 to 3 times increased odds of sarcopenia in multivariate analyses adjusting for age, gender, physical activity level and cognition, and fat mass index. Favourable MNA parameter scores on food intake and BMI were positively associated with greater muscle mass and handgrip strength (p<0.05). CONCLUSION: Given the overlapping clinical presentation of malnutrition and sarcopenia, community screening protocols should include combination screening of nutritional status and sarcopenia with appropriate interventions to mitigate risk of adverse health outcomes.


Subject(s)
Malnutrition/epidemiology , Sarcopenia/diagnosis , Adult , Aged , Aged, 80 and over , Cross-Sectional Studies , Female , Health Surveys , Humans , Independent Living , Male , Middle Aged , Singapore , Surveys and Questionnaires , Young Adult
3.
Nutr Diabetes ; 5: e173, 2015 Jul 20.
Article in English | MEDLINE | ID: mdl-26192451

ABSTRACT

BACKGROUND AND OBJECTIVES: Lean Asian Indians are less insulin sensitive compared with Chinese and Malays, but the pancreatic beta-cell function among these ethnic groups has yet to be studied in depth. We aimed to study beta-cell function in relation to insulin sensitivity among individuals of Chinese, Malay and Asian-Indian ethnicity living in Singapore. SUBJECTS AND METHODS: This is a sub-group analysis of 59 normoglycemic lean (body mass index (BMI) <23 kg m(-)(2)) adult males (14 Chinese, 21 Malays and 24 Asian Indians) from the Singapore Adults Metabolism Study. Insulin sensitivity was determined using fasting state indices (homeostatic model assessment-insulin resistance), the euglycemic-hyperinsulinemic clamp (ISI-clamp) and a liquid mixed-meal tolerance test (LMMTT) (Matsuda insulin sensitivity index (ISI-Mat)). Beta-cell function was assessed using fasting state indices (homeostatic model assessment-beta-cell function) and from the LMMTT (insulinogenic index and insulin secretion index). The oral disposition index (DI), a measure of beta-cell function relative to insulin sensitivity during the LMMTT, was calculated as a product of ISI-Mat and insulin secretion index. RESULTS: Asian Indians had higher waist circumference and percent body fat than Chinese and Malays despite similar BMI. Overall, Asian Indians were the least insulin sensitive whereas the Chinese were most insulin sensitive. Asian Indians had higher beta-cell function compared with Chinese or Malays but these were not statistically different. Malays had the highest incremental area under the curve for glucose during LMMTT compared with Asian Indians and Chinese. However, there were no significant ethnic differences in the incremental insulin area under the curve. The oral DI was the lowest in Malays, followed by Asian Indians and Chinese. CONCLUSION: Among lean Asians, Chinese are the most insulin sensitive whereas Asian Indians are the least insulin sensitive. However, Malays demonstrate higher postprandial glucose excursion with lower beta-cell response compare with Chinese or Asian Indians. The paths leading to type 2 diabetes mellitus might differ between these Asian ethnic groups.

4.
Br J Nutr ; 113(8): 1228-36, 2015 Apr 28.
Article in English | MEDLINE | ID: mdl-25789978

ABSTRACT

Asians exhibit larger glycaemic response (GR) and insulin response (IR) than Caucasians, predisposing to an increased risk of type 2 diabetes mellitus (T2DM). We aimed to determine the GR and IR as well as the glycaemic index (GI) and insulinaemic index (II) of two rice varieties among three ethnic groups in Singapore. A total of seventy-five healthy males (twenty-five Chinese, twenty-five Malay and twenty-five Asian-Indians) were served the available equivalent carbohydrate amounts (50 g) of test foods (Jasmine rice and Basmati rice) and a reference food (glucose) on separate occasions. Postprandial blood glucose and plasma insulin concentrations were measured at fasting ( -5 and 0 min) and at 15, 30, 45, 60, 90 and 120 min after food consumption. Using the trapezoidal rule, GR, IR, GI and II values were determined. The GR did not differ between ethnic groups for Jasmine rice and Basmati rice. The IR was consistently higher for Jasmine rice (P=0·002) and Basmati rice (P=0·002) among Asian-Indians, probably due to compensatory hyperinsulinaemia to maintain normoglycaemia. The GI and II of both rice varieties did not differ significantly between ethnicities. The overall mean GI for Jasmine rice and Basmati rice were 91 (sd 21) and 59 (sd 15), respectively. The overall mean II for Jasmine rice was 76 (sd 26) and for Basmati rice was 57 (sd 24). We conclude that the GI values presented for Jasmine rice and Basmati rice were applicable to all three ethnic groups in Singapore. Future studies should include deriving the II for greater clinical utility in the prevention and management of T2DM.


Subject(s)
Glycemic Index , Insulin/blood , Oryza/chemistry , Adult , Area Under Curve , Asian People , Blood Glucose/analysis , Body Mass Index , Carbohydrates/chemistry , Cross-Over Studies , Diabetes Mellitus, Type 2/blood , Diabetes Mellitus, Type 2/diet therapy , Ethnicity , Food Analysis , Humans , Hyperglycemia/metabolism , Male , Postprandial Period , Singapore , Time Factors , Young Adult
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