Optimum weights for commercial divers.

McCallum, R. I.; Petrie, Ann

doi:10.1136/oem.41.2.275

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…All subjects provided written informed consent. Baseline screening was conducted prior to diving with standard techniques because there is evidence to suggest that some anthropomorphic features and physical fitness may alter the risk of DCS (6,25). Body mass index (BMI) was derived from mass and height measures.…”

Section: Subjectsmentioning

confidence: 99%

Microparticle production, neutrophil activation, and intravascular bubbles following open-water SCUBA diving

Thom

Milovanova

Bogush

et al. 2012

Journal of Applied Physiology

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The goal of this study was to evaluate annexin V-positive microparticles (MPs) and neutrophil activation in humans following decompression from open-water SCUBA diving with the hypothesis that changes are related to intravascular bubble formation. Sixteen male volunteer divers followed a uniform profile of four daily SCUBA dives to 18 m of sea water for 47 min. Blood was obtained prior to and at 80 min following the first and fourth dives to evaluate the impact of repetitive diving, and intravascular bubbles were quantified by trans-thoracic echocardiography carried out at 20-min intervals for 2 h after each dive. MPs increased by 3.4-fold after each dive, neutrophil activation occurred as assessed by surface expression of myeloperoxidase and the CD18 component of β2-integrins, and there was an increased presence of the platelet-derived CD41 protein on the neutrophil surface indicating interactions with platelet membranes. Intravascular bubbles were detected in all divers. Surprisingly, significant inverse correlations were found among postdiving bubble scores and MPs, most consistently at 80 min or more after the dive on the fourth day. There were significant positive correlations between MPs and platelet-neutrophil interactions after the first dive and between platelet-neutrophil interactions and neutrophil activation documented as an elevation in β2-integrin expression after the fourth dive. We conclude that MPs- and neutrophil-related events in humans are consistent with findings in an animal decompression model. Whether there are causal relationships among bubbles, MPs, platelet-neutrophil interactions, and neutrophil activation remains obscure and requires additional study.

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Section: Subjectsmentioning

confidence: 99%

Microparticle production, neutrophil activation, and intravascular bubbles following open-water SCUBA diving

Thom

Milovanova

Bogush

et al. 2012

Journal of Applied Physiology

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“…An occupational group working in the North Sea that has received much attention is the commercial diver (Crosbie et al 1977;McCallum & Petrie, 1984). Obesity is one of the factors taken into consideration in deciding whether or not a man is medically fit to dive.…”

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confidence: 99%

Perrcentage body fat and prevalence of obesity in a UK offshore population

Light

Gibson

1986

Br J Nutr

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1. Body-weight, body height and skinfold measurements were taken in 419 adult males working in the UK offshsore oil industry. Percentage body fat was estimated from skinfold thicknesses and the Quetelet index (weight: height2) determined.2. The prevalence of overweightness, assessed from the Quetelet index, in the age groups 20-29,30-39 and 4 W 9 years was 31.6, 50.0 and 66.2% respectively. The Office of Population Census and Surveys (1981) showed that for age-matched groups, the incidence of overweightness in an onshore population was 26,40 and 50% respectively.3. The percentage body fat for each respective age group was greater than that reported for an age-matched onshore population. 4.The Quetelet index was significantly related to body fat (r 0.765, P < 0.0001) and poorly correlated with height, thus this weight: height relation may be utilized in the assessment of overweightness in offshore personnel.5. In conclusion it appears that the offshore population had a higher percentage body fat than their onshore peers and that the prevalence of overweightness was also greater.

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“…Table 2 Linear regression analysis showed a highly significant correlation coefficient of 0-65 (t = 17.7; p 0000 1). The regression analysis produced a regression equation of the form %BF = 0-442 (age) The r2 values shown in table 6 show that the percentage of the total variation that may be explained by the regression models is remarkably similar for both W/H' S and W/H2. The standard error of the estimate for the value of %BF predicted from the mean value for each index for the respective age groups (see table 6) indicates the lack of difference in terms of accuracy between the indices.…”

Section: Methodsmentioning

confidence: 99%