Publications by authors named "Julia Pietila"

Article Synopsis
  • Frequent self-weighing is linked to successful weight management, with this study examining its effects on weight changes in a large group of smart scale users.
  • Analyzing data from nearly 10,000 participants, the study found that those who weighed themselves more often experienced less weight gain over time, with an average weight change of -0.59 kg over about three years.
  • Notably, a significant portion of participants stopped weighing themselves for extended periods, leading to weight increases, especially among those who were overweight or obese.
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Electrodermal activity (EDA) reflects the functions of autonomic nervous system and is often used in evaluation of mental states, e.g. short- and long-term stress.

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The increasing prevalence of inactivity and obesity, along with aging, has implications on work capacity of labor force. This study reports the relationships between activity level and BMI by age with objectively measured physical workload. Data were examined from a sample of 19 481 Finnish employees using an estimate of minute-to-minute oxygen consumption based on R-R interval recordings.

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Background: Sleep is fundamental for good health, and poor sleep has been associated with negative health outcomes. Alcohol consumption is a universal health behavior associated with poor sleep. In controlled laboratory studies, alcohol intake has been shown to alter physiology and disturb sleep homeostasis and architecture.

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Wrist-worn sensors have better compliance for activity monitoring compared to hip, waist, ankle or chest positions. However, wrist-worn activity monitoring is challenging due to the wide degree of freedom for the hand movements, as well as similarity of hand movements in different activities such as varying intensities of cycling. To strengthen the ability of wrist-worn sensors in detecting human activities more accurately, motion signals can be complemented by physiological signals such as optical heart rate (HR) based on photoplethysmography.

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Purpose: This study aimed to investigate in a real-life setting how moderate- and vigorous-intensity physical activity (PA) volumes differ according to absolute intensity recommendation and relative to individual fitness level by sex, age, and body mass index.

Methods: A total of 23,224 Finnish employees (10,201 men and 13,023 women; ages 18-65 yr; body mass index = 18.5-40.

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Background: Physical inactivity, overweight, and work-related stress are major concerns today. Psychological stress causes physiological responses such as reduced heart rate variability (HRV), owing to attenuated parasympathetic and/or increased sympathetic activity in cardiac autonomic control. This study's purpose was to investigate the relationships between physical activity (PA), body mass index (BMI), and HRV-based stress and recovery on workdays, among Finnish employees.

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Sleep is the most important period for recovering from daily stress and load. Assessment of the stress recovery during sleep is therefore, an important metric for care and quality of life. Heart rate variability (HRV) is a non-invasive marker of autonomic nervous system (ANS) activity, and HRV-based methods can be used to assess physiological recovery, characterized by parasympathetic domination of the ANS.

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Objectives: To objectively measure the amount of intensity-specific physical activity by gender and age with respect to body mass index (BMI) during workdays and days off among Finnish employees.

Design: A cross-sectional study.

Setting: Primary care occupational healthcare units.

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Synopsis of recent research by authors named "Julia Pietila"

  • - Julia Pietila's research focuses primarily on the interplay between lifestyle factors, such as physical activity and self-weighing, and health outcomes, particularly among diverse populations like Finnish employees.
  • - Key findings include the positive association between frequent self-weighing and weight management in a large cohort, as well as insights into how body mass index and activity levels affect physical workload during work.
  • - Pietila also explores physiological metrics, such as heart rate variability and electrodermal activity, to assess stress and recovery, underscoring the importance of monitoring both physical and mental health in occupational settings.