Showing 3 results for Anthropometric
H Sabour, A Norouzia Javidan, Mr Vafa, F Shidfar, M Nazari, S Athari Nik Azm, A Rahimi, H Emami Razavi, H Saberi,
Volume 7, Issue 1 (6-2011)
Abstract
Background & Objectives: Despite an increased risk of obesity and CHD in people with spinal cord injury (SCI),
there is little known about the dietary intake in this group, therefore the aim of this study was to examine nutrient
intake and body mass index (BMI) in the spinal cord injury (SCI) population according to level of injury and
related variables.
Methods: In this cross-sectional study, 162 patients with spinal cord injury participated from Brain and Spinal
Injury Repair research Center, Tehran, Iran. Dietary intakes were assessed by means of a semi quantitative food
frequency questionnaire.
Results: The mean age of study population was 34.1±0.6 years. Total energy and carbohydrate intake were
higher in men than women (P<0.001). Incomplete injured consumed more MUFA (P=0.03). The elderly were
consumed less total calorie, saturated fat, MUFA, cholesterol (P<0.01) and PUFA (P<0.05). Injured patients with
longer times had lower total calorie, carbohydrate (P<0.01), total fat and MUFA intake (P<0.05). Based on new
classification 60.5% were at the risk of obesity or obese. Central obesity was seen in 33.1%of man and 48.4%
of women. BMI of the paraplegia group was greater than that of the tetraplegia group (P= 0.009).
Conclusion: Macronutrients balance is moved towards higher saturated fat intake and less complex
carbohydrates and protein intake in SCI patient’s .The elderly and patients who had lived with SCI longer time
tended to maintain healthier diets.
S Akbarpour, Y Jahangiri-Noudeh, M Lotfaliany , N Zafari, D Khalili, M Tohidi, Ma Mansournia, F Azizi, F Hadaegh,
Volume 11, Issue 2 (9-2015)
Abstract
Background & Objectives: Considering the importance of CVD risk factors in diabetic and non-diabetic populations and the high prevalence of diabetes and cardiovascular risk factors, we studied the trend of anthropometric indexes, blood pressure, smoking and lipids in diabetic and non-diabetic populations.
Methods: The data of Tehran Lipid and Glucose Study was used in this investigation. The study population comprised 1045 diabetic and 5136 non-diabetic subjects. To investigate the secular longitudinal trends, the Generalized Estimation Equation method was employed. All statistical models were adjusted for age to eliminate the potential confounding effect of age. The interaction between the diabetes status and each phase of the study was checked in a separate model in GEE.
Results: Over a decade, the serum levels of TC, TGs, LDL-C and non HDL-C decreased although about 60% of the diabetic population did not reach the therapeutic goals of non-HDL-C and LDL-C levels until 2011. Control of hypertension was more successful in females, but about 60% of both males and females with diabetes were still hypertensive at the end of follow-up period. Smoking increased during the follow-up.
Conclusion: This study showed that among CVD risk factors, healthcare professionals paid more attention to hypercholesterolemia neglecting other risk factors including hypertension and central obesity.
Ha Nikbakht, H Ghaem, Hr Tabatabaee, A Mirahmadizadeh, S Hassanipour, S Zahmatkesh, A Hemmati, F Moradi, A Abbasi,
Volume 15, Issue 3 (11-2019)
Abstract
Background and Objectives: Anthropometric indices, especially weight, provide useful information for the care and treatment of newborn infants and can be used to identify infants at risk. Therefore, this study was conducted to examine the mean weight, height and head circumference measurements of infants and some related factors.
Methods: This cross-sectional study was performed to investigate the anthropometric indices (weight, height and head circumference), demographic characteristics, and delivery data of 1484 newborns in 2016 using multi-stage sampling. Moreover, the predictors of these indices were analyzed using a linear regression model.
Results: The mean weight, height and head circumference of the newborn infants was 3185 ± 465 g, 49.92 ± 2.92 cm, and 34.58 ± 2.29 cm respectively, and 7% of newborns were low birth weight. The male newborns weighed 57.29 g more than females on average at birth (p <0.05). Besides, the height and head circumference of the male newborns were 0.15 and 0.10 cm larger than the female newborns respectively but the difference was not statistically significant. In addition to gender, gestational age at birth (week) and type of delivery correlated with all three anthropometric indices in multivariate analysis.
Conclusion: Identifying and controlling largely adjustable risk factors can make it possible to prevent low anthropometric parameters, particularly low birth weight.
