Dose-response relation of self-reported and accelerometer-measured physical activity to perceived health in middle age—the Northern Finland Birth Cohort 1966 Study

Niemelä, Maisa; Kangas, Maarit; Ahola, Riikka; Auvinen, Juha; Leinonen, Anna-Maiju; Tammelin, Tuija; Vaaramo, Eeva; Keinänen‐Kiukaanniemi, Sirkka; Korpelainen, Raija; Jämsä, Timo

doi:10.1186/s12889-018-6359-8

Cited by 32 publications

(39 citation statements)

References 35 publications

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“…In comparison with various accelerometry‐based methods, the threshold <2 MET for Polar Active provided similar results as threshold <100 counts per minute (cpm) for ActiGraph, and the mean difference between methods was 7.0 min/day (95% confidence interval from −17.8 to 31.7 min/d) 21 . Total PA volume including all activity performed with intensity of 2 METs or higher was calculated by multiplying each MET value with its duration (total PA, MET min/d) 16 …”

Section: Methodsmentioning

confidence: 84%

“…The day on which the participant received the activity monitor was excluded from the analysis. Participants with at least four valid days were included in the analyses, and daily averages of duration spent in five activity levels (min/day) were calculated 16 . Criteria for a valid day were defined as at least 600 min/d (without considering them being consecutive minutes) monitoring time during waking hours 17,18 .…”

Section: Methodsmentioning

confidence: 99%

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Chronotypes and objectively measured physical activity and sedentary time at midlife

Nauha

Jurvelin

Ala‐Mursula

et al. 2020

Scandinavian Med Sci Sports

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Morning, day, or evening chronotypes differ by the circadian timing of alertness and the preferred timing of sleep. It has been suggested that evening chronotype is associated with low physical activity (PA) and high sedentary time (SED). Our aim was to investigate whether such an association is confirmed by objectively measured PA and SED. In 46‐year follow‐up of the Northern Finland Birth Cohort 1966 study, total PA (MET min/day) and SED (min/day) among 5156 participants were determined using wrist‐worn accelerometers for 14 days. We used the shortened Morningness‐Eveningness Questionnaire to define participants' chronotypes. As covariates, we used self‐reported physical strenuousness of work, health, and demographics, and clinical measures. We used adjusted general linear models (B coefficients with 95% confidence intervals, CI) to analyze how chronotype was related to total PA or SED. As compared to evening chronotype, men with day and morning chronotypes had higher total PA volumes (adjusted B 75.2, 95% CI [8.1, 142.4], P = .028, and 98.6, [30.2, 167.1], P = .005). Men with day and morning chronotypes had less SED (−35.8, [−53.8, 17.8], P < .0001, and − 38.6, [−56.9, −20.2], P < .0001). Among women, morning chronotype was associated with higher total PA (57.8, [10.5, 105.0], P = .017), whereas no association between chronotype and SED emerged. Evening chronotype was associated with low objectively measured PA in both sexes and with high SED in men, even after adjustments for established potential confounders. Chronotype should be considered in PA promotion.

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Section: Methodsmentioning

confidence: 84%

Section: Methodsmentioning

confidence: 99%

Chronotypes and objectively measured physical activity and sedentary time at midlife

Nauha

Jurvelin

Ala‐Mursula

et al. 2020

Scandinavian Med Sci Sports

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“…Excluding participants with metabolic diseases and medications affecting autonomic function and those who were unable to carry out the CRF test might have induced selection bias to the study sample. In our previous study, we did not find significant differences in health characteristics between groups of participants with or without valid PA data …”

Section: Strengths and Limitationsmentioning

confidence: 67%

“…In our previous study, we did not find significant differences in health characteristics between groups of participants with or without valid PA data. 42…”

Section: Strengths and Limitationsmentioning

confidence: 99%

Prolonged bouts of sedentary time and cardiac autonomic function in midlife

et al. 2019

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Excessive sedentary time (SED) and long SED bouts are associated with cardiovascular diseases (CVD) and increased mortality. Low heart rate variability (HRV), indicating autonomic dysfunction, increases mortality and CVD morbidity. Information about the association between prolonged SED and HRV is lacking. The aim was to assess the relationship between SED bouts and HRV. Physical activity (PA), SED, HRV, and cardiorespiratory fitness (CRF) were collected from a birth‐cohort sample (n = 4150) at 46 years. PA and SED were measured for 14 days with an activity monitor (Polar Active, Polar Electro, Finland). SED accumulating in bouts of at least 30 and 60 minutes (SED30, SED60) was calculated. Linear regression was used to study the relationship between prolonged SED and HRV accounting for CRF, PA, and health covariates. Higher SED60 and in women SED30 were associated with higher root mean square of differences in R‐R intervals (rMSSD) after adjustments (β = .082‐.104). In women, higher SED60 was associated with lower ratio between low‐ and high‐frequency powers (β = −.060). Sedentary bouts were not associated with resting HR or post‐exercise HR recovery. A positive relationship between SED bouts and rMSSD independent of PA and CRF was found, prolonged SED being positively associated with cardiac parasympathetic activity in midlife.

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“…Energy expenditure (EE) during exercise training has been determined, and good correlation (R 2 = 0.74) between the Polar Active and the doubly labeled water technique has been found previously [25,27]. Participants with at least four valid days were included in the analysis [28]. If at least 600 min/day, i.e.…”

Section: Physical Activity Assessmentmentioning

confidence: 99%

Association between device-measured physical activity and lumbar Modic changes

Julin

Saukkonen

Oura

et al. 2020

BMC Musculoskelet Disord

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Background Modic changes (MC) in the lumbar spine are considered one potential etiological factor behind low back pain (LBP). Multiple risk factors for MC have been suggested, including male gender, smoking and factors affecting hyperloading and mechanical stress such as high body mass index (BMI), strenuous physical work and high occupational and leisure-time physical activity (PA). So far, the effect of PA on the occurrence of MC has remained under debate due to contradictory findings. The purpose of this study was to investigate the possible association between device-measured moderate-to-vigorous PA (MVPA) (≥ 3.5 METs) and lumbar MC. Methods The study had 1374 participants from the Northern Finland Birth Cohort 1966. At the age of 46–48, PA was measured by a wrist-worn accelerometer, and lumbar magnetic resonance imaging (MRI) was carried out to determine MC. We analyzed the association between Type 1 (MC1) and Type 2 (MC2) MC and daily amount of MVPA (min/day) using sex-stratified logistic regression models before and after adjustment for BMI, socioeconomic status, smoking, and accelerometer wear time. Results Among men, increased amount of MVPA was positively associated with any MC (adjusted OR corresponding to every 60 min/day of MVPA 1.41; 95% confidence interval (CI) 1.01 to 1.95) and MC2 (OR 1.54; 95% CI 1.14 to 2.08), but not with MC1 (OR 1.06; 95% CI 0.80 to 1.39). Among women, we only found a positive association between MVPA and MC1 before adjustments (unadjusted OR 1.42; 95% CI 1.06 to 1.92). Conclusion Among men, increased amount of MVPA was associated with increased odds of any MC and particularly MC2. Among women, MVPA was not independently associated with MC.

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Dose-response relation of self-reported and accelerometer-measured physical activity to perceived health in middle age—the Northern Finland Birth Cohort 1966 Study

Cited by 32 publications

References 35 publications

Chronotypes and objectively measured physical activity and sedentary time at midlife

Chronotypes and objectively measured physical activity and sedentary time at midlife

Prolonged bouts of sedentary time and cardiac autonomic function in midlife

Association between device-measured physical activity and lumbar Modic changes

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