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Nutritional rehabilitation during severe acute malnutrition (SAM) aims to quickly restore body size and minimize poor short-term outcomes. We hypothesized that faster weight gain during treatment is associated with greater cardiometabolic risk in adult life. Anthropometry, body composition (DEXA), blood pressure, blood glucose, insulin and lipids were measured in a cohort of adults who were hospitalized as children for SAM between 1963 and 1993. Weight and height measured during hospitalization and at one year post-recovery were abstracted from hospital records. Childhood weight gain during nutritional rehabilitation and weight and height gain one year post-recovery were analysed as continuous variables, quintiles and latent classes in age, sex and minimum weight-for-age z-scores-adjusted regression models against adult measurements. Data for 278 adult SAM survivors who had childhood admission records were analysed. Of these adults, 85 also had data collected 1 year post-hospitalisation. Sixty percent of participants were male, mean (SD) age was 28.2 (7.7) years, mean (SD) BMI was 23.6 (5.2) kg/m2. Mean admission age for SAM was 10.9 months (range 0.3-36.3 months), 77% were wasted (weight-for-height z-scores<-2). Mean rehabilitation weight gain (SD) was 10.1 (3.8) g/kg/day and 61.6 (25.3) g/day. Rehabilitation weight gain > 12.9 g/kg/day was associated with higher adult BMI (difference = 0.5 kg/m2, 95% CI: 0.1-0.9, p = 0.02), waist circumference (difference = 1.4 cm, 95% CI: 0.4-2.4, p = 0.005), fat mass (difference = 1.1 kg, 95% CI: 0.2-2, p = 0.02), fat mass index (difference = 0.32kg/m2, 95% CI: -0.0001-0.6, p = 0.05), and android fat mass (difference = 0.09 kg, 95% CI: 0.01-0.2, p = 0.03). Post-recovery weight gain (g/kg/month) was associated with lean mass (difference = 1.3 kg, 95% CI: 0.3-2.4, p = 0.015) and inversely associated with android-gynoid fat ratio (difference = -0.03, 95% CI: -0.07to-0.001 p = 0.045). Rehabilitation weight gain exceeding 13g/kg/day was associated with adult adiposity in young, normal-weight adult SAM survivors. This challenges existing guidelines for treating malnutrition and warrants further studies aiming at optimising these targets.

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The NIH Toolbox Cognitive Battery (NIHTB-CB) was developed as a common-metric, computerized cognitive screener for research. Although extensively normed and validated in Americans of different ethnicities, there is little data on how generalizable such results would be when used outside of the United States. The objective of this study was to assess measurement invariance (MI) of the NIHTB-CB across Jamaican and African-American samples and determine appropriateness of comparisons across groups. Multi-group confirmatory factor analyses using a single-factor model were conducted using five tests of fluid cognitive abilities from the NIHTB-CB, which assess working memory, episodic memory, processing speed, and executive function. MI was tested sequentially for configural, metric and scalar invariance. 125 Jamaican and 154 American adults of African descent were included. The Jamaican mean age was 31.6 ± 8.6 years (57% males) compared to 43.5 ± 15.5 years (25% males) for the African-American group. The Jamaicans had on average 11.3 ± 2.7 years of education compared to 13.9 ± 2.6 years for the African-Americans. We found metric and configural invariance across both samples but not scalar invariance. These findings suggest that the single factor emerging from the NIHTB-CB measures the same construct, i.e. fluid cognitive ability, in both groups and hence the battery is appropriate for assessments within cultures. However, lack of scalar invariance indicates that direct cross-cultural comparisons of performance levels should be interpreted with caution, also suggesting that U.S. normative standards are not generalizable to the Jamaican population.

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Adults who had non-edematous severe acute malnutrition (SAM) during infancy (i.e., marasmus) have worse glucose tolerance and beta-cell function than survivors of edematous SAM (i.e., kwashiorkor). We hypothesized that wasting and/or stunting in SAM is associated with lower glucose disposal rate (M) and insulin clearance (MCR) in adulthood.We recruited 40 nondiabetic adult SAM survivors (20 marasmus survivors (MS) and 20 kwashiorkor survivors (KS)) and 13 matched community controls. We performed 150-minute hyperinsulinaemic, euglycaemic clamps to estimate M and MCR. We also measured serum adiponectin, anthropometry, and body composition. Data on wasting (weight-for-height) and stunting (height-for-age) were abstracted from the hospital records.Children with marasmus had lower weight-for-height z-scores (WHZ) (-3.8 ± 0.9 vs. -2.2 ± 1.4; P < 0.001) and lower height-for-age z-scores (HAZ) (-4.6 ± 1.1 vs. -3.4 ± 1.5; P = 0.0092) than those with kwashiorkor. As adults, mean age (SD) of participants was 27.2 (8.1) years; BMI was 23.6 (5.0) kg/m2. SAM survivors and controls had similar body composition. MS and KS and controls had similar M (9.1 ± 3.2; 8.7 ± 4.6; 6.9 ± 2.5 mg.kg-1.min-1 respectively; P = 0.3) and MCR. WHZ and HAZ were not associated with M, MCR or adiponectin even after adjusting for body composition.Wasting and stunting during infancy are not associated with insulin sensitivity and insulin clearance in lean, young, adult survivors of SAM. These data are consistent with the finding that glucose intolerance in malnutrition survivors is mostly due to beta-cell dysfunction.

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The association between severe acute malnutrition (SAM) in early childhood and liver fat in adults is unknown. We hypothesized that exposure to SAM, especially severe wasting, is associated with fatty liver later in life. In this observational study, abdominal CT was used to quantify mean liver attenuation (MLA) and liver:spleen attenuation ratio (L/S). Birth weight (BW), serum lipids, insulin resistance (homeostatic model assessment), anthropometry and intrabdominal fat were collected. Mean differences between diagnostic groups were tested and hierarchical regression analysis determined the best predictors of liver fat. We studied 88 adult SAM survivors and 84 community participants (CPs); age 29.0 ± 8.4 years, BMI 23.5 ± 5.0 kg/m2 (mean ± SDs). SAM survivors had less liver fat than CPs (using L/S) (p = 0.025). Severe wasting survivors (SWs) had lower BW (-0.51 kg; p = 0.02), were younger, thinner and had smaller waist circumference than oedematous malnutrition survivors (OMs). In the final regression model adjusting for age, sex, birth weight and SAM phenotype (i.e., oedematous malnutrition or severe wasting), SWs had more liver fat than OMs (using MLA) (B = 2.6 ± 1.3; p = 0.04) but similar liver fat using L/S (p = 0.07) and lower BW infants had less liver fat (MLA) (B = -1.8 ± 0.8; p = 0.03). Greater liver fat in SWs than OMs, despite having less body fat, supports our hypothesis of greater cardiometabolic risk in SWs. Other postnatal factors might influence greater liver fat in survivors of severe wasting, suggesting the need to monitor infants exposed to SAM beyond the acute episode.

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BACKGROUND: Nonobese nonalcoholic fatty liver disease is reported in several populations. However, because persons of African origin display unique fat accumulation, insulin resistance, and lipid profiles, we investigated fatty liver in nonobese persons of African origin. METHOD: We recruited 78 urban Jamaican volunteers. CT was used to estimate liver and abdominal fat and dual-energy X-ray absorptiometry to measure body composition. Fasting blood was collected for lipids, alanine aminotransferase (ALT), adiponectin, and fetuin-A. Homeostatic model assessment of insulin resistance (HOMA-IR), whole-body insulin sensitivity index (WBISI), insulinogenic index (IGI), and oral disposition index (oDI) were calculated after a 75-g oral glucose tolerance test. RESULTS: Fifty-two percent of participants were male; mean (±SD) age was 28.5 ± 7.8 years, and body mass index was 22.4 ± 3.0 kg/m2. Mean liver attenuation (MLA) and liver/spleen (LS) ratio, both inversely correlated to liver fat, were 62.8 ± 4.3 HU and 1.2 ± 0.1, respectively; 3.8% of participants had liver fat >30% (LS ratio < 1). In age, sex, and BMI-adjusted correlations, MLA was negatively associated with weight (r = -0.30; P = 0.009) and height (r = -0.28; P = 0.017) and was associated with fasting glucose (r = 0.23; P = 0.05), fasting insulin (r = 0.42; P ≤ 0.001) and HOMA-IR (r = 0.35; P = 0.004). Serum lipids, ALT, adiponectin, fetuin-A, WBISI, IGI, and oDI were not associated with liver fat. CONCLUSIONS: In nonobese Afro-Caribbean participants, greater liver fat was associated with weight and height and lower fasting insulin and hyperinsulinemia appears to be influential in the reduction of NAFLD. These findings may be influenced by ethnicity, body size, and method of estimating liver fat.

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AIMS/HYPOTHESES: We hypothesized that there is decreased synthesis of glutathione (GSH) in type 2 diabetes (T2DM) especially in the presence of microvascular complications, and this is dependent on the degree of hyperglycemia. METHODS: In this case-control study, we recruited 16 patients with T2DM (7 without and 9 with microvascular complications), and 8 age- and sex-matched non-diabetic controls. We measured GSH synthesis rate using an infusion of [2H2]-glycine as isotopic tracer and collection of blood samples for liquid chromatography mass spectrometric analysis. RESULTS: Compared to the controls, T2DM patients had lower erythrocyte GSH concentrations (0.90 ± 0.42 vs. 0.35 ± 0.30 mmol/L; P = 0.001) and absolute synthesis rates (1.03 ± 0.55 vs. 0.50 ± 0.69 mmol/L/day; P = 0.01), but not fractional synthesis rates (114 ± 45 vs. 143 ± 82%/day; P = 0.07). The magnitudes of changes in patients with complications were greater for both GSH concentrations and absolute synthesis rates (P-values ≤ 0.01) compared to controls. There were no differences in GSH concentrations and synthesis rates between T2DM patients with and without complications (P-values > 0.1). Fasting glucose and HbA1c did not correlate with GSH concentration or synthesis rates (P-values > 0.17). CONCLUSIONS: Compared to non-diabetic controls, patients with T2DM have glutathione deficiency, especially if they have microvascular complications. This is probably due to reduced synthesis and increased irreversible utilization by non-glycemic mechanisms.

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INTRODUCTION: The aim of the study was to determine the prevalence of dyslipidemia among primary care patients with hypertension and diabetes in Jamaica and the proportion of patients who achieve recommended targets. MATERIAL AND METHODS: An audit of 500 dockets of adult patients with chronic disease attending public primary care clinics in Jamaica was conducted between October and December 2013. Data were collected on patient characteristics including medical history, medications, anthropometry, and lipid profiles (since January 1, 2011). Lipid targets were based on the Ministry of Health 2007 management guidelines. Stepwise multivariable logistic regression analysis was performed to determine the predictors of achieving lipid targets. RESULTS: Four hundred and thirty-seven patient records had a lipid profile done and 90% of these had at least one abnormal lipid value. 15.3% of the patients achieved the low density lipoprotein cholesterol (LDL-C) target, 63.2% high density lipoprotein cholesterol (HDL-C), 85.1% triglycerides and 57.4% the total cholesterol target. Statins were prescribed for 49% and these patients were less likely to achieve LDL-C (OR = 0.57; 95% CI: 0.33-0.97; p = 0.04) or total cholesterol (OR = 0.21; 95% CI: 0.13-0.33; p < 0.001) targets. Patients over 80 years were more likely to achieve the LDL-C target (OR = 3.21; 95% CI: 1.64-6.28; p = 0.002) than those less than 50 years old. More men than women achieved total cholesterol targets (OR = 2.2; 95% CI: 1.4-3.6; p = 0.001). CONCLUSIONS: Dyslipidemia is widespread among primary care patients with hypertension and diabetes. The proportion of patients who achieve the respective lipid targets must be documented and routinely monitored and appropriate medication and lifestyle changes implemented to improve this.

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OBJECTIVES: Severe acute malnutrition (SAM) is an important risk factor for illness and death globally, contributing to more than half of deaths in children worldwide. We hypothesized that SAM is positively correlated to poverty, low educational attainment, major crime and higher mean soil concentrations of lead, cadmium and arsenic. METHODS: We reviewed admission records of infants admitted with a diagnosis of SAM over 14 years (2000-2013) in Jamaica. Poverty index, educational attainment, major crime and environmental heavy metal exposure were represented in a Geographic Information System (GIS). Cases of SAM were grouped by community and the number of cases per community/year correlated to socioeconomic variables and geochemistry data for the relevant year. RESULTS: 375 cases of SAM were mapped across 204 urban and rural communities in Jamaica. The mean age at admission was 9 months (range 1-45 months) and 57% were male. SAM had a positive correlation with major crime (r = 0.53; P < 0.001), but not with educational attainment or the poverty index. For every one unit increase in the number of crimes reported, the rate of occurrence of SAM cases increased by 1.01% [Incidence rate ratio (IRR) = 1.01 (95% CI = 1.006-1.014); P P<0.001]. The geochemistry data yielded no correlation between levels of heavy metals and the prevalence of malnutrition. CONCLUSION: Major crime has an independent positive association with severe acute malnutrition in Jamaican infants. This could suggest that SAM and major crime might have similar sociological origins or that criminality at the community level may be indicative of reduced income opportunities with the attendant increase in poor nutrition in the home.

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