ライフサイエンスコーパス: anthropometry

1 obesity definitions that are based solely on anthropometry.

2 xamined their distribution by demography and anthropometry.

3 dies; and nutritional status was measured by anthropometry.

4 ollected on diarrhea, enteric pathogens, and anthropometry.

5 s with records of daily diarrhea and monthly anthropometry.

6 better predictor of gallbladder disease than anthropometry.

7 LBM was assessed by anthropometry.

8 n 37 healthy subjects by ultrasonography and anthropometry.

9 rning is difficult to obtain by conventional anthropometry.

10 All surveys included anthropometry.

11 th patterns improved prediction of childhood anthropometry, above and beyond birth weight alone.

12 index and body-fat phenotypes measured from anthropometry (ages 4, 6, and 8 years) and bioelectrical

13 e to the religious month of Ramadan and body anthropometry among adult Muslims in Indonesia.

14 y was to investigate the association between anthropometry, amplitude of accommodation assessed by mi

15 Complete data on asthma, anthropometry and atopy at age of 8 years, and potential

16 Anthropometry and biochemical indexes were not significa

17 Standardized anthropometry and bioelectric impedance measurements wer

18 Measures of adiposity were derived from anthropometry and bioelectrical impedance data at baseli

19 Anthropometry and childhood obesity risk data were obtai

20 We looked at growth, anthropometry and disease management in children with du

21 tive-PCR) were related to fetal and neonatal anthropometry and dual-energy X-ray absorptiometry measu

22 ry, physical activity, body composition (via anthropometry and dual-energy X-ray absorptiometry), die

23 4,804 UK children aged 9-10 years, including anthropometry and fasting blood analytes (response rates

24 Anthropometry and fasting serum glucose were measured, a

25 s with similar skeletal and sexual maturity, anthropometry and femoral neck BMD Z-score to control co

26 Secondary outcomes included measures of anthropometry and fitness.

27 ations of biomedical (ie, maternal and child anthropometry and haemoglobin and preterm birth) and soc

28 Body adiposity was measured with anthropometry and multifrequency bioimpedance.

29 Anthropometry and spirometry were obtained in children a

30 Height and weight were obtained via anthropometry and surveys administered in study particip

31 to vary with the mass of the projectile, the anthropometry and the muscle characteristics of the subj

32 d at equivalent intervals, by using clinical anthropometry and whole-body potassium counting.

33 esearch facility, overnight polysomnography, anthropometry, and 9 blood pressure measurements over 2

34 s (oral glucose tolerance), lipids, insulin, anthropometry, and blood pressure measured and metabolic

35 TEE, sleeping metabolic rate, anthropometry, and body composition were measured in 76

36 ized, and pooled data on full breastfeeding, anthropometry, and body composition.

37 icronutrients that can affect hematopoiesis, anthropometry, and diet were assessed at 0, 6, and 12 mo

38 tudy examined the pattern of dietary intake, anthropometry, and energy expenditure in a group of subj

39 s for body composition from BIA measures and anthropometry, and factors associated with the accuracy

40 Fasting blood, anthropometry, and lifestyle habits were collected after

41 nce a day for diarrhoea and once a month for anthropometry, and obtained data for household water and

42 HbA(1c) levels, anthropometry, and plasma glucose levels during oral glu

43 ewborn babies in terms of clinical findings, anthropometry, and survival.

44 2-hour, 75-g oral glucose tolerance testing; anthropometry; and interviews.

45 not followed up in terms of social class and anthropometry at birth.

46 ny appreciable influence on their children's anthropometry at this point in childhood.

47 his study addressed the question of how well anthropometry-based predictive equations can resolve the

48 Anthropometry, bioelectric impedance, dual-energy X-ray

49 y echocardiography, fatness was evaluated by anthropometry, bioimpedance, and ultrasound.

50 Anthropometry, blood pressure, and bone-mineral density

51 m an Australian birth cohort had measures of anthropometry, blood pressure, fasting insulin, glucose,

52 lipoprotein levels, hemostasis, hematology, anthropometry, blood pressure, medical history, lifestyl

53 Anthropometry, blood pressure, physical activity by acce

54 hildren from the original trial and measured anthropometry, body composition with bioelectrical imped

55 tic markers and obesity-related traits i.e., anthropometry, body composition, growth, metabolites, ho

56 Our outcomes of interest were anthropometry, body composition, lung function, physical

57 tiometry, total-body potassium counting, and anthropometry by two techniques.

58 crimination, seroconversion, biomarkers, and anthropometry can be helpful, these are often costly, no

59 These data suggest that for women, anthropometry can provide better estimates of fatness th

60 est laboratory provides electrocardiography, anthropometry, chest and breast x-rays, visual acuity te

61 Information on anthropometry, diet, and smoking habits was obtained thr

62 We measured anthropometry, dietary vitamin D, and serum 25(OH)D with

63 easurements of fat distribution derived from anthropometry, dual-energy X-ray absorptiometry, and com

64 sition and fat distribution were assessed by anthropometry, dual-energy X-ray absorptiometry, and who

65 buffering the effects of stress, to predict anthropometry during childhood, and based on differentia

66 d be most sensitive to the effects of SES on anthropometry for better or for worse.

67 This study compared maternal and offspring anthropometry for moderately malnourished pregnant women

68 64 AA participants from the African Ancestry Anthropometry Genetics Consortium.

69 In addition, anthropometry, glucose and lipid metabolism, inflammatio

70 Standardized anthropometry, glucose tolerance tests, and serum assays

71 Anthropometry, glycated haemoglobin (HbA1c) and IgA tiss

72 determination, subjective global assessment, anthropometry, handgrip dynamometry, biochemical and ami

73 d dry weight, weight/height index, upper arm anthropometry, head circumference, and the protein equiv

74 model, dual-energy X-ray absorptiometry, and anthropometry in 234 healthy UK children and adolescents

75 abdominal computed tomography, and standard anthropometry in 3026 well-functioning 70-79-y-old parti

76 on between PBDEs and fetal growth or newborn anthropometry in a Spanish cohort (2003-2008).

77 preterm was associated with changes in adult anthropometry in women.

78 Adult anthropometry influences MM development; however, associ

79 ed these subjects by using several measures: anthropometry, iron status, information processing, Peab

80 ided information on number of natural teeth, anthropometry, lifestyle factors, and illness-related fa

81 red during the physical examination included anthropometry, lipoproteins, blood pressure, glycemic st

82 ized health examination included measures of anthropometry, lung function, blood pressure and standar

83 Blood samples and anthropometry measurements were collected in the first 3

84 Adverse events, anthropometry, mood, and pain were similar in the two gr

85 esponse to other micronutrient deficiencies, anthropometry, morbidity, and usual dietary intake.

86 ameters defining the modeled muscles and the anthropometry of the two-segment models were specific to

87 Interactions were present between race and anthropometry (P-interaction((race x body mass index)) =

88 Anthropometry predicts SM better in men than in women.

89 on of HIV disease, serum HDL cholesterol and anthropometry, provides high diagnostic sensitivity and

90 bioelectrical impedance data at baseline and anthropometry repeated 3 years later.

91 Other measurements included demographics, anthropometry, serum 25-hydroxyvitamin D (25-OHD), intac

92 ac data for a group of athletes with greater anthropometry than any previously studied athlete group

93 fulness of bioelectrical impedance (BI) with anthropometry to measure total body water (TBW) was eval

94 However, the association between SEQ and anthropometry was not significant (P > 0.05).

95 Maternal and infant anthropometry were followed until the child was 3 mo old

96 No differences in growth or anthropometry were found between children with T1DM + CD

97 ution, bioelectrical impedance analysis, and anthropometry were used to determine body composition in