Browsing by Author "Jones B"
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- ItemBlood donation, being Asian, and a history of iron deficiency are stronger predictors of iron deficiency than dietary patterns in premenopausal women(Hindawi Publishing Corporation, 2014) Beck KL; Conlon CA; Kruger R; Heath A-LM; Matthys C; Coad J; Jones B; Stonehouse WThis study investigated dietary patterns and nondietary determinants of suboptimal iron status (serum ferritin < 20 μg/L) in 375 premenopausal women. Using multiple logistic regression analysis, determinants were blood donation in the past year [OR: 6.00 (95% CI: 2.81, 12.82); P < 0.001], being Asian [OR: 4.84 (95% CI: 2.29, 10.20); P < 0.001], previous iron deficiency [OR: 2.19 (95% CI: 1.16, 4.13); P = 0.016], a "milk and yoghurt" dietary pattern [one SD higher score, OR: 1.44 (95% CI: 1.08, 1.93); P = 0.012], and longer duration of menstruation [days, OR: 1.38 (95% CI: 1.12, 1.68); P = 0.002]. A one SD change in the factor score above the mean for a "meat and vegetable" dietary pattern reduced the odds of suboptimal iron status by 79.0% [OR: 0.21 (95% CI: 0.08, 0.50); P = 0.001] in women with children. Blood donation, Asian ethnicity, and previous iron deficiency were the strongest predictors, substantially increasing the odds of suboptimal iron status. Following a "milk and yoghurt" dietary pattern and a longer duration of menstruation moderately increased the odds of suboptimal iron status, while a "meat and vegetable" dietary pattern reduced the odds of suboptimal iron status in women with children.
- ItemPredictors and risks of body fat profiles in young New Zealand European, Māori and Pacific women: study protocol for the women’s EXPLORE study(SpringerOpen, 2015-12-01) Kruger R; Shultz SP; McNaughton SA; Russell AP; Firestone RT; George L; Beck KL; Conlon CA; von Hurst PR; Breier B; Jayasinghe SN; O Brien WJ; Jones B; Stonehouse WBackground: Body mass index (BMI) (kg/m2) is used internationally to assess body mass or adiposity. However, BMI does not discriminate body fat content or distribution and may vary among ethnicities. Many women with normal BMI are considered healthy, but may have an unidentified “hidden fat” profile associated with higher metabolic disease risk. If only BMI is used to indicate healthy body size, it may fail to predict underlying risks of diseases of lifestyle among population subgroups with normal BMI and different adiposity levels or distributions. Higher body fat levels are often attributed to excessive dietary intake and/or inadequate physical activity. These environmental influences regulate genes and proteins that alter energy expenditure/storage. Micro ribonucleic acid (miRNAs) can influence these genes and proteins, are sensitive to diet and exercise and may influence the varied metabolic responses observed between individuals. The study aims are to investigate associations between different body fat profiles and metabolic disease risk; dietary and physical activity patterns as predictors of body fat profiles; and whether these risk factors are associated with the expression of microRNAs related to energy expenditure or fat storage in young New Zealand women. Given the rising prevalence of obesity globally, this research will address a unique gap of knowledge in obesity research. Methods/Design: A cross-sectional design to investigate 675 NZ European, Māori, and Pacific women aged 16–45 years. Women are classified into three main body fat profiles (n = 225 per ethnicity; n = 75 per body fat profile): 1) normal BMI, normal body fat percentage (BF%); 2) normal BMI, high BF%; 3) high BMI, high BF%. Regional body composition, biomarkers of metabolic disease risk (i.e. fasting insulin, glucose, HbA1c, lipids), inflammation (i.e. IL-6, TNF-alpha, hs-CRP), associations between lifestyle factors (i.e. dietary intake, physical activity, taste perceptions) and microRNA expression will be investigated. Discussion: This research targets post-menarcheal, premenopausal women, potentially exhibiting lifestyle behaviours resulting in excess body fat affecting metabolic health. These behaviours may be characterised by specific patterns of microRNA expression that will be explored in terms of tailored solutions specific to body fat profile groups and ethnicities. Trial registration: ACTRN12613000714785
- ItemThe effect of downhill running conditions on muscle damage in recreationally active adults(Universidad de Alicante. Área de Educación Física y Deporte, 2022-01) Southall-Edwards R; Innes S; Ali A; Jones BBackground: Downhill running (DR) has been used extensively to investigate recovery from muscle-damaging exercise. There is no consensus on the optimal conditions (duration, severity, intensity) for a DR protocol. The purpose of this research was to determine the most effective DR conditions to induce muscle damage. Methods: The research was comprised a 3x3 within-between participant design. Recreationally active males’ (n = 12) muscle damage was assessed using gold standard indirect markers (force loss and muscle soreness) at baseline, 24 and 48h post one of three DR conditions (a. 45min at -10% gradient b. 45min at -12% c. 30min at -15%). DR was completed on a motorised treadmill at 70% velocity of V̇O2peak achieved during an incremental exercise test to exhaustion. Results: Isometric force (p = .005, ηp2 = 0.45) and muscle soreness (p = .002, ηp2 = 0.49) were impaired 24h post-exercise; no difference (p > .05) was evident between conditions. At 48h the impairments in force loss and muscle soreness were no longer evident (p > .05) across all conditions. There was no difference (p = .82) in HR between the DR conditions. Findings: Independent of duration and gradient all conditions resulted in a similar response in force loss and muscle soreness, indicating muscle damage had occurred. Interestingly, the 30-min protocol produced the same response in less time, without requiring individuals to work at a greater intensity. Therefore, the 30-min condition is suggested as the most appropriate protocol for use in the scientific investigation of muscle damage from DR.
- ItemThe perceived benefits of apps by construction professionals in New Zealand(MDPI AG, 2017-12-01) Liu T; Mbachu J; Mathrani A; Jones B; McDonald BThe construction sector is a key driver of economic growth in New Zealand; however, its productivity is still considered to be low. Prior research has suggested that information and communication technology (ICT) can help enhance efficiency and productivity. However, there is little research on the use of mobile technologies by New Zealand construction workforce. This paper reports findings of an exploratory study with the objective of examining the perceived benefits regarding uptake of apps in New Zealand construction sector. Using self-administered questionnaire survey, feedback was received from the major construction trade and professional organisations in New Zealand. Survey data was analyzed using descriptive, one-sample t-test, Spearman’s rank correlation coefficient and structural equation modeling. Results showed that iPhone and Android phone currently dominate the smartphone market in New Zealand construction industry. The top three application areas are site photos, health and safety reporting and timekeeping. The benefits of mobile apps were widely confirmed by the construction professionals. The benefit of “better client relationship management and satisfaction” has substantial correlation with overall productivity improvement and best predictor of the overall productivity improvement. These findings provide a starting point for further research aimed at improving the uptake and full leveraging of mobile technologies to improve the dwindling productivity trend in New Zealand construction industry.