The main objective of the study was to determine the factors associated with blood cholesterol level among staff in Universiti Sains Malaysia (USM). The study was a cross-sectional. One-hundred staff between 23 and 59 years of age were recruited in this study using convenient sampling at USM Health Campus. A questionnaire which includes sociodemographic characteristics, medical history, and red meat intake was used in the study. Anthropometric and biochemical assessment were measured. Blood cholesterol level was divided into two categories which were known as healthy range (<5.2mmol/L) and slight risk/high risk range (≥5.2mmol/L). The gender distribution of respondents for this study comprised of 40 male and 60 female. The age group (18 to 39) years and (40 to 59) years had a total of 40.3% and 63.2% of slightly risk or high risk blood cholesterol respectively; with the significant association between age group and blood cholesterol level (χ²=4.916,p=0.027). Besides, normal BMI group had 66.7% of respondents achieved healthy blood cholesterol level whereas underweight, overweight and obese group had 39.7% achieved healthy blood cholesterol with the significant association between BMI and blood cholesterol level (χ²=7.112,p=0.008). Moreover, daily or weekly intake of red meat showed that 65.0% of total respondents had a healthier blood cholesterol level compared to 51.0% of monthly, rarely, or none red meat intake group which achieved healthy blood cholesterol level. The result also showed a significant association between red meat intake and blood cholesterol (χ²=5.229, p=0.022), which indicating less red meat consumption is linked to high level of blood cholesterol level. Therefore, further investigation and future studies are needed to gain a clearer understanding of the association between these variables and blood cholesterol level.
nutritional status ; blood cholesterol level ; red meat intake

OBJECTIVES: The purpose of the study was to compare intake of energy nutrients, physical characteristics, and the prevalence of metabolic syndrome according to protein intake group. METHODS: Subjects were 827 men aged 40-65 years. The results presented were based on data from the 2012-2013 National Health and Nutrition Examination Survey and analyzed using SPSS. The odds ratio (OR) of metabolic syndrome was assessed according to the protein intake group and intake pattern of protein-rich foods. RESULTS: The mean of protein intake was 73.96 ± 0.71 g. According to level of protein intake, four groups (deficient, normal, excess 1, excess 2) were created and their percentages were 8.3%, 39.6%, 37.1%, and 15.0% respectively. The mean of daily energy intake was 2,312.33 ± 24.08 kcal. It was higher in excess group 2 than in the deficiency group (p < 0.001). Moreover, the intake of all energy nutrients increased significantly with protein intake group (p < 0.001). The main contribution to daily protein included mixed grains (10.96 ± 0.32 g), milled rice (7.14 ± 0.30 g), chicken (3.50 ± 0.21 g), and grilled pork belly (3.04 ± 0.16 g). With regard to physical characteristics, and blood pressure and blood test results, only body mass index increased significantly according to protein intake groups (p < 0.05). The prevalence of metabolic syndrome in subjects was 38.5%, and there was no significant correlation with protein intake group. The OR of metabolic syndrome increased with protein intake, and was higher 4.452 times in excess group 2 than in the normal group (p < 0.05). Conversely, the OR of metabolic syndrome according to the frequency of protein-rich food intake did not show a significant correlation. CONCLUSIONS: The results of this study can be used as significant supporting data to establish guidelines for protein intake in middle-aged men.
Blood Pressure ; Body Mass Index ; Chickens ; Eating ; Energy Intake ; Hematologic Tests ; Humans ; Male ; Nutrition Surveys* ; Odds Ratio ; Prevalence ; Red Meat