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Biomedical subjects

Katharine R Parkes

Publications and source records attributed to Katharine R Parkes.

5 recordsLinked to original sources

Physical activity and self-rated health: interactive effects of activity in work and leisure domains.

OBJECTIVES: This longitudinal study examined the effects of physical activity on self-rated health (SRH); specifically, predicted interactions between leisure activity and job activity, and between leisure activity and age, were evaluated in relation to SRH. METHODS: Survey data on age and leisure activity together with relevant covariates (education, body mass index, smoking and negative affectivity) were collected from oil industry employees. Three job activity levels were identified (sedentary, active and strenuous). At 5-year follow-up, SRH, body mass index and smoking were reassessed. Hierarchical regression was used to analyse the longitudinal data (N=314). RESULTS: The job activity x leisure activity interaction (controlled for baseline SRH and covariates) predicted follow-up SRH (p<.025). Individuals in sedentary jobs benefited disproportionately from leisure activity; active and strenuous jobs were associated with lower SRH, irrespective of leisure activity. The age x leisure activity interaction was also significant (p<.025); leisure activity was significantly and positively associated with SRH only among younger individuals. Changes in body mass index and smoking contributed additively to the model, but did not mediate physical activity effects. CONCLUSIONS: These findings highlight the importance of leisure physical activity for employees in sedentary jobs, but suggest that other factors (such as adverse environmental conditions) may underlie the lower SRH associated with physically demanding work. The results also indicate that, irrespective of job activity level, younger individuals benefit more from leisure physical activity than older ones. Thus, the study informs interventions designed to improve the health of employees through increased physical activity.

Adult↗

Shiftwork and environment as interactive predictors of work perceptions.

Evidence suggests that the work environment may play a role in the elevated risk of adverse health outcomes among shiftworkers compared with dayworkers. Perceived work environment measures (physical stressors, job demand, job control, skill discretion, supervisor support, and safety perceptions) from UK oil industry personnel (N=1,867) were analyzed in relation to shiftwork (day/night rotation vs daywork) and objective work environment (onshore vs offshore). Age, education, job type, and negative affectivity were also included. The Environment * Shiftwork interaction was significant in multivariate tests and in 5 of the 6 univariate analyses. Onshore, shiftworkers perceived their environment significantly less favorably than dayworkers, but differences were less marked offshore. Results are discussed in relation to the demand-control-support model of work stress.

Adolescent↗

Demographic and lifestyle predictors of body mass index among offshore oil industry workers: cross-sectional and longitudinal findings.

BACKGROUND: Significant overweight among offshore workers on North Sea oil and gas installations has been linked to high calorie intake, lack of active leisure-time pursuits, and environmental factors conducive to weight gain. However, the prevalence of overweight among offshore workers has not been examined in recent data, and no longitudinal studies of body mass index (BMI) in this occupational group have been reported. Aims The present study sought to examine BMI levels in a sample of UK offshore personnel, and to evaluate demographic factors, smoking and work-related physical activity as predictors of BMI, and 5 year change in BMI. METHODS: Survey data (including age, education, marital status, work-related physical activity and height/weight) were collected in 1995 from male workers on 17 North Sea installations (n = 1581, 83% response rate); follow-up data were obtained in 2000 (n = 354, 34.9% of the potential sample). RESULTS: Overall mean BMI was 25.6 (2.8) kg/m(2): rates of obesity (BMI > 30) and overweight (BMI = 25-30) were 7.5 and 47.3%, respectively. Mean age was 38.7 (8.9) years; linear and quadratic age terms predicted BMI. Age-adjusted BMI values were very similar to those reported from other offshore studies over the past 15 years. Age, marital status, education, smoking and physical activity significantly predicted baseline BMI, but only age (and some interactive effects) predicted 5 year BMI change. CONCLUSIONS: The present age-adjusted BMI values were closely similar to those found offshore in the mid-1980s, but also to recent national data; thus, North Sea personnel do not appear to reflect current population trends towards increased BMI levels. This result accords with the emphasis now given to health promotion (particularly dietary change) on offshore installations; the present findings also highlight the need to focus these initiatives on workers with sedentary jobs and/or low education.

Adult↗

Age, smoking, and negative affectivity as predictors of sleep patterns among shiftworkers in two environments.

Although adaptation to shiftwork has been widely studied, little is known about how individual and environmental factors combine to influence sleep among shiftworkers. This study examined age, smoking, and negative affectivity (NA) as predictors of sleep duration and quality for 3 work phases (day shifts, DS; night shifts, NS; and leave periods, LP). Data were collected from personnel working 12-hr shifts, onshore (n = 330) or offshore (n = 456). Individual factors predicted patterns of sleep measures across the DS, NS, and LP phases onshore, but not offshore; onshore, work phase interacted with smoking and with age to predict sleep duration and with NA to predict sleep quality. The role of the offshore environment in shiftwork adaptation is discussed.

Adolescent↗

Shift work and age as interactive predictors of body mass index among offshore workers.

OBJECTIVES: This study investigated shift pattern (day shifts versus day-night rotation) and its interactions with age, and with years of shiftwork exposure, as predictors of body mass index (BMI). METHODS: Survey data were collected from offshore personnel working day shifts (N=787) or day-night shifts (N=787); information was obtained about shift pattern and years of shiftwork exposure, height, weight, demographic factors, and smoking habits. Hierarchical multiple regression was used to test a model in which BMI was predicted by additive and interactive effects of shift pattern, age, and exposure years with control for confounding variables. RESULTS: In a multivariate analysis (controlling for job type, education and smoking), BMI was predicted by the main effects of age and years of shiftwork exposure. Shift pattern was not significant as a main effect, but it interacted significantly with the curvilinear age term and with the linear and curvilinear components of shiftwork exposure. In the day shift group, age but not exposure predicted BMI; the opposite was true of the day-night shift group. The increase in BMI with an increase in age and exposure years was steeper for the day-night shift group than for the day shift group. CONCLUSIONS: The significant interaction effects found in this study were consistent with the view that continued exposure to day-night shift work gives rise to increases in BMI, over and above the normative effects of ageing on BMI shown by day-shift workers.

Adult↗