Consumption of Red Meat, but Not Cooking Oils High in Polyunsaturated Fat, Is Associated with Higher Arachidonic Acid Status in Singapore Chinese Adults.

High arachidonic acid (AA; 20:4 n - 6) status may have adverse effects on inflammation and risk of cardiovascular diseases. Concerns about high intake of n - 6 polyunsaturated fatty acids (PUFAs) are based on the premise that endogenous conversion from linoleic acid (LA; 18:2 n - 6) is an important source of AA, but few population-based studies have investigated dietary determinants of AA status. In this study, we examined habitual food consumption in relation to plasma concentrations of AA and other PUFAs in population-based studies. We used cross-sectional data from 269 healthy, ethnic Chinese participants (25-80 years old) with contrasting intakes of fish and red meat from the Singapore Prospective Study Program and 769 healthy participants (44-74 years old) from the Singapore Chinese Health Study as a validation set. Multivariable linear regression was used to examine PUFA intake (% energy) and food sources of PUFA (fish, red meat, poultry, soy and cooking oils) in relation to plasma PUFAs (AA, LA, dihomo-gamma-linolenic acid (DGLA; 20:3 n - 6), alpha-linolenic acid (ALA; 18:3 n - 3), eicosapentaenoic acid (EPA; 20:5 n - 3), and docosahexaenoic acid (DHA; 22:6 n - 3)) concentrations. Higher intake of red meat was associated with higher plasma AA concentrations. High intake of PUFA or PUFA-rich oils was associated with higher plasma ALA but not with plasma AA. Higher intakes of soy were associated with higher ALA and fish with higher DHA and EPA concentrations. These associations were statistically significant (p < 0.05) in both studies. Red meat consumption, but not PUFA or PUFA-rich cooking oil, was associated with circulating AA suggesting that intake of pre-formed AA rather than LA is an important determinant of AA status. A diet high in fish, soy products and polyunsaturated cooking oil, and low in red meat may be associated with an optimal plasma profile of PUFA in this Chinese population.

Evaluation of Equations for Predicting 24-Hour Urinary Sodium Excretion from Casual Urine Samples in Asian Adults.

BACKGROUND: The collection of 24-h urine samples for the estimation of sodium intake is burdensome, and the utility of spot urine samples in Southeast Asian populations is unclear. OBJECTIVE: We aimed to assess the validity of prediction equations with the use of spot urine concentrations. METHODS: A sample of 144 Singapore residents of Chinese, Malay, and Indian ethnicity aged 18-79 y were recruited from the Singapore Health 2 Study conducted in 2014. Participants collected urine for 24 h in multiple small bottles on a single day. To determine the optimal collection time for a spot urine sample, a 1-mL sample was taken from a random bottle collected in the morning, afternoon, and evening. Published equations and a newly derived equation were used to predict 24-h sodium excretion from spot urine samples. RESULTS: The mean ± SD concentration of sodium from the 24-h urine sample was 125 ± 53.4 mmol/d, which is equivalent to 7.2 ± 3.1 g salt. Bland-Altman plots showed good agreement at the group level between estimated and actual 24-h sodium excretion, with biases for the morning period of -3.5 mmol (95% CI: -14.8, 7.8 mmol; new equation) and 1.46 mmol (95% CI: -10.0, 13.0 mmol; Intersalt equation). A larger bias of 25.7 mmol (95% CI: 12.2, 39.3 mmol) was observed for the Tanaka equation in the morning period. The prediction accuracy did not differ significantly for spot urine samples collected at different times of the day or at a random time of day (P = 0.11-0.76). CONCLUSION: This study suggests that the application of both our own newly derived equation and the Intersalt equation to spot urine concentrations may be useful in predicting group means for 24-h sodium excretion in urban Asian populations.

Visit-to-visit variability in LDL- and HDL-cholesterol is associated with adverse events after ST-segment elevation myocardial infarction: A 5-year follow-up study.

INTRODUCTION: We evaluated the relationship between visit-to-visit low-density lipoprotein cholesterol (LDL-C) and high-density lipoprotein cholesterol (HDL-C) variability and 5-year clinical outcomes in patients who presented with ST-segment elevation myocardial infarction (STEMI). METHODS: 130 patients presenting with STEMI and surviving to discharge were analyzed. Visit-to-visit LDL-C and HDL-C variability was evaluated from 2 months after discharge on the basis of corrected variation independent of mean (cVIM, primary measure), coefficient of variation and standard deviation. Major adverse cardiac event (MACE) included death, myocardial infarction, stroke, unplanned revascularization, and heart failure admission. RESULTS: After an average of 62.4 ± 30.5 months follow-up, 41 patients (31.5%) had experienced MACE. Compared with the non-MACE group, the MACE group had a higher visit-to-visit LDL-C variability (cVIM: 0.23 ± 0.11 vs. 0.19 ± 0.08; p = 0.049; coefficient of variation: 0.24 ± 0.12 vs. 0.19 ± 0.00; p = 0.019; standard deviation: 24.1 ± 14.5 vs. 17.6 ± 10.0; p = 0.006), mean follow-up LDL-C (p = 0.033) and a higher prevalence of diabetes mellitus (p = 0.012). After adjusting for mean follow-up cholesterol levels and diabetes mellitus, each 0.01 cVIM increase in LDL-C and HDL-C variability increased the risk of MACE by 3.4% (HR: 1.034; 95% CI: 1.004 to 1.065; p = 0.025) and 6.8% (HR: 1.068; 95% CI: 1.003 to 1.137; p = 0.04), respectively. Results derived from coefficient of variation and standard deviation as measures of cholesterol variability were similar. CONCLUSION: This is the first report to show an independent association between visit-to-visit LDL-C and HDL-C variability and long-term MACE in patients presenting with STEMI.

Reproductive factors, adiposity, breastfeeding and their associations with ovarian cancer in an Asian cohort.

PURPOSE: The aim of this study was to assess associations of breastfeeding, adiposity and reproductive risk factors with ovarian cancer risk in a Singaporean population. In addition to the main analysis, interaction effects of parity on other risk factors were examined. METHODS: A retrospective cohort consisting of 28,201 women with 107 incident ovarian cancers in up to 17 years of follow-up from the Singapore Breast Cancer Screening Project (1994-1997) was studied. Hazard ratios (HRs) for risk factors were estimated using Cox proportional hazards models. RESULTS: Body mass index and breastfeeding were found to have no statistical significant association with ovarian cancer risk. Gravidity was inversely associated with ovarian cancer risk [each pregnancy, adjusted HR 0.89, 95% confidence interval (CI) 0.81, 0.97], while results for parity were very similar (per delivery, HR 0.89, 95% CI 0.81, 0.98). Each additional year of ovulatory period was found to increase ovarian cancer risk by 2% (HR 1.02, 95% CI 1.00, 1.04). Each year increase in total duration of oral contraceptive use reduced ovarian cancer risk by 6% (HR 0.94, 95% CI 0.85, 1.02). CONCLUSIONS: Parity, gravidity and shorter ovulatory period were associated with lower ovarian cancer risk. Breastfeeding and body mass index were not associated with ovarian cancer risk, while increased duration of oral contraceptive use resulted in borderline risk reduction. No significant evidence was found to suggest that parity had an interaction effect on any risk factor.