Rajna Golubić

Dr. Rajna Golubić

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Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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11 September 2009 in Journal of Advanced Nursing
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RGRajna Golubić
Rajna Golubić
Milan MiloševićMilan Milošević
Milan Milošević
BKBojana Knezevic
Bojana Knezevic
JMJadranka Mustajbegovic
Jadranka Mustajbegovic

25 March 2014 in PLOS ONE
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RGRajna Golubić
Rajna Golubić
AMAnne M. May
Anne M. May
KBKristin Benjaminsen Borch
Kristin Benjaminsen Borch
KOKim Overvad
Kim Overvad
MCMarie-Aline Charles
Marie-Aline Charles
SBSoren Brage
Soren Brage
To examine the validity of the Recent Physical Activity Questionnaire (RPAQ) which assesses physical activity (PA) in 4 domains (leisure, work, commuting, home) during past month. 580 men and 1343 women from 10 European countries attended 2 visits at which PA energy expenditure (PAEE), time at moderate-to-vigorous PA (MVPA) and sedentary time were measured using individually-calibrated combined heart-rate and movement sensing. At the second visit, RPAQ was administered electronically. Validity was assessed using agreement analysis. RPAQ significantly underestimated PAEE in women [median(IQR) 34.1 (22.1, 52.2) vs. 40.6 (32.4, 50.9) kJ/kg/day, 95%LoA: −44.4, 63.4 kJ/kg/day) and in men (43.7 (29.0, 69.0) vs. 45.5 (34.1, 57.6) kJ/kg/day, 95%LoA: −47.2, 101.3 kJ/kg/day]. Using individualised definition of 1MET, RPAQ significantly underestimated MVPA in women [median(IQR): 62.1 (29.4, 124.3) vs. 73.6 (47.8, 107.2) min/day, 95%LoA: −130.5, 305.3 min/day] and men [82.7 (38.8, 185.6) vs. 83.3 (55.1, 125.0) min/day, 95%LoA: −136.4, 400.1 min/day]. Correlations (95%CI) between subjective and objective estimates were statistically significant [PAEE: women, rho = 0.20 (0.15–0.26); men, rho = 0.37 (0.30–0.44); MVPA: women, rho = 0.18 (0.13–0.23); men, rho = 0.31 (0.24–0.39)]. When using non-individualised definition of 1MET (3.5 mlO2/kg/min), MVPA was substantially overestimated (∼30 min/day). Revisiting occupational intensity assumptions in questionnaire estimation algorithms with occupational group-level empirical distributions reduced median PAEE-bias in manual (25.1 kJ/kg/day vs. −9.0 kJ/kg/day, p<0.001) and heavy manual workers (64.1 vs. −4.6 kJ/kg/day, p<0.001) in an independent hold-out sample. Relative validity of RPAQ-derived PAEE and MVPA is comparable to previous studies but underestimation of PAEE is smaller. Electronic RPAQ may be used in large-scale epidemiological studies including surveys, providing information on all domains of PA.

1 April 2011 in Midwifery
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Journal Article
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BKBojana Knezevic
Bojana Knezevic
Milan MiloševićMilan Milošević
Milan Milošević
RGRajna Golubić
Rajna Golubić
LBLjiljana Belosevic
Ljiljana Belosevic
ARAndrea Russo
Andrea Russo
JMJadranka Mustajbegovic
Jadranka Mustajbegovic

15 April 2014 in International Journal of Obesity
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RGRajna Golubić
Rajna Golubić
KWK Wijndaele
K Wijndaele
SSS J Sharp
S J Sharp
RSR K Simmons
R K Simmons
SGS J Griffin
S J Griffin
SBS Brage
S Brage
The objective of this study is to examine the independent associations of time spent in moderate-to-vigorous physical activity (MVPA) and sedentary (SED-time), with total and abdominal body fat (BF), and the bidirectionality of these associations in adults at high risk of type 2 diabetes. We measured MVPA (min per day) and SED-time (h per day) by accelerometry, and indices of total (body weight, fat mass (FM), BF% and FM index) and abdominal BF (waist circumference (WC)) using standard procedures in 231 adults (41.3±6.4 years) with parental history of type 2 diabetes (ProActive UK) at baseline, 1-year and 7-year follow-up. Mixed effects models were used to quantify the independent associations (expressed as standardised β-coefficients (95% confidence interval (CI))) of MVPA and SED-time with fat indices, using data from all three time points. All models were adjusted for age, sex, intervention arm, monitor wear time, follow-up time, smoking status, socioeconomic status and MVPA/SED-time. MVPA was inversely and independently associated with all indices of total BF (for example, 1 s.d. higher MVPA was associated with a reduction in FM, β=−0.09 (95% CI: −0.14, −0.04) s.d.) and abdominal BF (for example, WC: β=−0.07 (−0.12, −0.02)). Similarly, higher fat indices were independently associated with a reduction in MVPA (for example, WC: β=−0.25 (−0.36, −0.15); FM: β=−0.27 (−0.36, −0.18)). SED-time was positively and independently associated with most fat indices (for example, WC: β=0.03 (−0.04, 0.09); FM: β=0.10 (0.03, 0.17)). Higher values of all fat indices independently predicted longer SED-time (for example, WC: β=0.10 (0.02, 0.18), FM: β=0.15 (0.07, 0.22)). The associations of MVPA and SED-time with total and abdominal BF are bidirectional and independent among individuals at high risk for type 2 diabetes. The association between BF and MVPA is stronger than the reciprocal association, highlighting the importance of considering BF as a determinant of decreasing activity and a potential consequence. Promoting more MVPA and less SED-time may reduce total and abdominal BF.

28 March 2016 in American Journal of Epidemiology
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CKChantal M. Koolhaas
Chantal M. Koolhaas
KDKlodian Dhana
Klodian Dhana
RGRajna Golubić
Rajna Golubić
JSJosje D. Schoufour
Josje D. Schoufour
AHAlbert Hofman
Albert Hofman
OFOscar H. Franco
Oscar H. Franco
Physical activity is associated with decreased risk of coronary heart disease (CHD). The specific physical activity types that provide beneficial effects in an older population remain unclear. We assessed the association of total physical activity, walking, cycling, domestic work, sports, and gardening with CHD by using Cox proportional hazard models among 5,901 participants aged >55 (median age, 67) years from the prospective population-based Rotterdam Study, enrolled between 1997 and 2001. Activities were categorized into tertiles, and the lowest tertiles were used as reference. In the multivariable model, we adjusted for age, sex, smoking, alcohol consumption, education, diet, and other physical activity types. During 15 years of follow-up (median, 10.3 (interquartile range, 8.0–11.8) years), 642 participants (10.9%) experienced a CHD event. In the multivariable model, the respective hazard ratios for the medium and high categories compared with the low category were 0.79 (95% confidence interval CI): 0.66, 0.96) and 0.71 (95% CI: 0.58, 0.87) for total physical activity, 0.76 (95% CI: 0.63, 0.92) and 0.70 (95% CI: 0.57, 0.88) for cycling, and 0.81 (95% CI: 0.66, 0.98) and 0.71 (95% CI: 0.56, 0.90) for domestic work. Walking, sports, and gardening were not associated with CHD. In conclusion, in this long-term follow-up study of older adults, domestic work and cycling were associated with reduced CHD risk. Physical activity should be promoted in this population with the aim to prevent CHD.

1 January 2014 in International Journal of Behavioral Nutrition and Physical Activity
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RGRajna Golubić
Rajna Golubić
KMKathryn R Martin
Kathryn R Martin
UEUlf Ekelund
Ulf Ekelund
RHRebecca Hardy
Rebecca Hardy
DKDiana Kuh
Diana Kuh
OTOn Behalf Of The Nshd Scientific And Data Collection Teams
On Behalf Of The Nshd Scientific And Data Collection Teams
Detailed assessment of physical activity (PA) in older adults is required to comprehensively describe habitual PA-levels in this growing population segment. Current evidence of population PA-levels is predominantly based on self-report. We examined PA and sedentary behaviour in a nationally representative sample of British people aged 60–64, using individually-calibrated combined heart-rate and movement sensing and a validated questionnaire (EPAQ2), and the socio-demographic and behavioural factors that may explain between-individual variation in PA. Between 2006–2010, 2224 participants completed EPAQ2 capturing the past year’s activity in four domains (leisure, work, transportation and domestic life) and 1787 participants provided 2–5 days of combined-sensing data. According to objective estimates, median(IQR) physical activity energy expenditure (PAEE) was 33.5 (25.3-42.2) and 35.5 (26.6- 47.3) kJ/kg/day for women and men, respectively. Median (IQR) time spent in moderate-to-vigorous PA (MVPA; >3MET), light-intensity PA (1.5-3 MET) and sedentary (30 min MVPA per day combined with >60 min strength-training per week. The use of both self-report and objective monitoring to assess PA in early old age provides important information on the domains of PA, PAEE and time spent at different intensity levels. Our findings suggest that PA levels are generally low and observed patterns of variation indicate specific subgroups who might benefit from targeted interventions to increase PA.