Blood pressure in schoolchildren measured under standardized conditions

Kf, Jureidini; Pa, Baghurst; Rj, Hogg; Mj, van Renen; Ps, Adams; Rh, Burnell; Goldblatt, E.; Gv, Vimpani

doi:10.5694/j.1326-5377.1988.tb120536.x

Cited by 14 publications

(10 citation statements)

References 6 publications

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“…Diastolic blood pressure (mm Hg)= 72-1 + 1-2 X TEMP-0-03 X TEMP2-0-78 X BMI + 0 09 X SUM4 -032 X ENERGY (2) Girls: Systolic blood pressure (mm Hg)= 86-1 +0-41 X WT+0-18 X SES+0-45 X ENERGY -0-41 X ACTIVITY (3) Diastolic blood pressure (mm Hg)= 37-6 + 1-9 X AGE + 0 16 X SES-0 56 X ACTIVITY (4) In the boys, 8 60 of variance in systolic blood pressure was explained by BMI, HT, ENERGY, and ENERGY . BMI and HT contributed 4 8% and 2-1 00 respectively to explained variance and ENERGY and ENERGY2 together contributed a further 1700,.…”

Section: Multiple Regression Analyses Of Blood Pressurementioning

confidence: 99%

Relationships between blood pressure and measures of dietary energy intake, physical fitness, and physical activity in Australian children aged 11-12 years.

Jenner

Vandongen

Beilin

1992

Journal of Epidemiology & Community Health

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Section: Multiple Regression Analyses Of Blood Pressurementioning

confidence: 99%

Relationships between blood pressure and measures of dietary energy intake, physical fitness, and physical activity in Australian children aged 11-12 years.

Jenner

Vandongen

Beilin

1992

Journal of Epidemiology & Community Health

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“…Systolic and diastolic blood pressure was measured using an automated blood pressure monitor (Dinamap 1846 SX, Critikon, FL, USA) under standardised conditions. 23 Fasting blood was analysed for total cholesterol, HDL-cholesterol, LDL-cholesterol, triglycerides, insulin and glucose. The blood analyses occurred at a single nationally accredited pathology laboratory.…”

Section: Metabolic Profilementioning

confidence: 99%

“…The Short Fat Questionnaire assesses behaviour related to dietary fat intake, and has been validated for Australian adults. 25 Respondents are given a 'fat intake behaviour score' which is divided into three categories: 'low fat intake' (score 0-17), 'moderate fat intake' (score [18][19][20][21][22][23][24][25][26][27] and 'high fat intake' (score 28+). Two additional questions were added to this questionnaire to assess soft drink consumption.…”

Section: Self-report Questionnairesmentioning

confidence: 99%

“…There was no significant change in dietary fat intake score from the start (21.5, range 11.0-29.0) to the end (22.5, range 10.0-28.0) of the five-month program. At the start of the program, 59% of adolescents had fat intake scores in the moderate range (18)(19)(20)(21)(22)(23)(24)(25)(26)(27) while at the end of the program, 70% of adolescents had fat intake scores in the moderate range.…”

Section: Dietary Fat Intake Scorementioning

confidence: 99%

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Evaluation of a community‐based weight management program for overweight and obese adolescents: The Loozit study

O’Connor

Steinbeck

Hill

et al. 2008

Nutrition & Dietetics

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Aim:To evaluate a community-based weight management program for overweight and obese adolescents aged 13-16 years. Methods: The present study was a group-based intervention over five months conducted in Australian community health centres. Program evaluation questionnaires were completed by adolescents and their parents. Seven semistructured group sessions were held for adolescents: weekly for four weeks and then at two, four and five months. The program sessions focused on healthy eating, increasing physical activity, decreasing sedentary behaviour and increasing self-esteem. Adolescents' anthropometry, blood pressure and fasting blood biochemistry were measured. Adolescents completed validated questionnaires on diet, physical activity and self-esteem. Results: Twenty-two overweight and obese adolescents were recruited with a median body mass index (BMI) z-score 2.30. Recruitment strategies were identified and a high retention rate (91%) was achieved. The program was well received by adolescents. Parents reported their adolescents were making healthier food choices and increasing physical activity. At treatment end there were clinically significant improvements in self-perception scores for physical appearance and romantic appeal (P < 0.05), waist circumference (median 100.1 cm vs 97.1 cm; P < 0.0001) and HDL cholesterol (median 1.10 mmol/L vs 1.20 mmol/L; P = 0.02), but not BMI or BMI z-score. Conclusions: The Loozit weight management intervention is one of the first to involve adolescents in the evaluation of the program and to operate at a sustainable intensity in an accessible community setting. The present study provides valuable insights into the elements of a program that is acceptable to adolescents.All anthropometric measurements were determined using standard procedures 20 and calibrated instruments. Weight J. O'Connor et al. 18 (8-32) 0.35 *P-values for Wilcoxon Signed Ranks tests to examine differences between the start and end of the five month program. BMI = body mass index. J. O'Connor et al.

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“…In the 15-34 years age group, episodes of gonorrhoea ( l l ) , syphilis (16) age. There were no smokers in age groups below [15][16][17][18][19][20][21][22][23][24][25] years. non-smokers smokers dra chewers women (three episodes) had had gonorrhoea and 4 males and one female had evidence of past syphilis.…”

Section: Infections and Infestationsmentioning

confidence: 99%

Risk factors for ill‐health in a remote desert‐dwelling Aboriginal community in Western Australia

Gracey¹,

Burke²,

Spargo³

et al. 1996

Australian and New Zealand Journal of Medicine

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Blood pressure in schoolchildren measured under standardized conditions

Cited by 14 publications

References 6 publications

Relationships between blood pressure and measures of dietary energy intake, physical fitness, and physical activity in Australian children aged 11-12 years.

Relationships between blood pressure and measures of dietary energy intake, physical fitness, and physical activity in Australian children aged 11-12 years.

Evaluation of a community‐based weight management program for overweight and obese adolescents: The Loozit study

Risk factors for ill‐health in a remote desert‐dwelling Aboriginal community in Western Australia

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