Associations between Physical Activity and Physical and Mental Health- A HUNT 3 Study

Bertheussen, Gro F.; Romundstad, Pål Richard; Landmark, Tormod; Kaasa, Stein; Dale, Ola; Helbostad, Jorunn L.

doi:10.1249/mss.0b013e318206c66e

Cited by 77 publications

(62 citation statements)

References 26 publications

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“…Engaging in and maintaining an active lifestyle receives special attention considering the advancing demographic changes in some societies, since active individuals report better physical and mental health (Bertheussen et al, 2011). In line with Salthouse (1991), some studies in the context of health behavior research provided support for his argument that chronological age alone might not be a suitable predictor to explain age-related effects in health behaviors, as long as other age concepts can also contribute to the explanation of age-related phenomena (e.g., decline in physical activity; cf.…”

Section: Introductionmentioning

confidence: 99%

Direct effects of a domain-specific subjective age measure on self-reported physical activity – Is it more important how old you are or how old you feel?

Wienert¹,

Kuhlmann²,

Lippke³

2015

Health Psychology Report

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Research has shown that physical activity is important for healthy aging. At the same time, physical activity and different age factors (chronological and subjective age measures) are interrelated. The present study investigated whether subjective physical age and chronological age are significantly correlated with physical activity over time. participants and procedureA study design with baseline assessment and a 4-week follow-up period was conducted with an online sample (N = 541), aged 25-78 years (M = 39.62, SD = 10.74). Regression analysis with the enter method was used to predict subsequent physical activity by baseline predictors. resultsSubjective physical age correlates with chronological age (r = -.34, p < .001). Subjective physical age predicted subsequent physical activity when controlling for baseline variables (B = -.12, t = -2.43, p = .015) until past physical activity was entered (B = -.06, t = -1.44, p = .150). The final model explained 33% of variance in subsequent physical activity. conclusionsSubjective physical age seems to be more important for physical activity than chronological age. This is an important finding as subjective physical age might be a target for interventions, to enable individuals to become more physically active. Future studies should investigate non-linear relationships between subjective physical age, social-cognitive predictors of physical activity and physical activity behavior.key words subjective age; domain-specific measure; social cognitive predictors for behavior change; online study; self-reported physical activity

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Section: Introductionmentioning

confidence: 99%

Direct effects of a domain-specific subjective age measure on self-reported physical activity – Is it more important how old you are or how old you feel?

Wienert¹,

Kuhlmann²,

Lippke³

2015

Health Psychology Report

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“…However, some studies fail to show that the intervention increases physical activity (e.g., Jago et al, 2011), and for most biometric health outcomes, the evidence is less conclusive if they are studied at all (Proper et al, 2002;Proper et al, 2005; for a disagreeing perspective, see WHO, 2009). Empirical studies in this area are generally difficult to interpret because they often lack randomization and longitudinal designs (Dishman et al, 1998;Proper, 2008), though some of the more recent studies incorporate these features and have more positive results (e.g., Bertheussen et al, 2011). No previous studies test workplace interventions involving walking while working.…”

Section: Conceptual Framework and Relevant Literaturementioning

confidence: 99%

“…On the basis of this hypothesis and the fact that greater physical activity is positively (certainly not negatively) related to health (Bertheussen, 2011), we expect WWW to have a positive effect on health outcomes. However, the effects may take a long time to materialize because of the limited intensity of the physical effort associated with slow walking; some biometric measures may respond faster than others.…”

Section: H1 the Introduction Of Www Improves Physical Activitymentioning

confidence: 99%

The Effects of Walking While Working on Productivity and Health: A Field Experiment

et al. 2012

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La sèrie Documents de treball d'economia de l'empresa presenta els avanços i resultats d'investigacions en curs que han estat presentades i discutides en aquest departament; això no obstant, les opinions són responsabilitat dels autors. El document no pot ser reproduït total ni parcialment sense el consentiment de l'autor/a o autors/res. Dirigir els comentaris i suggerències directament a l'autor/a o autors/res, a la direcció que apareix a la pàgina següent.A Working Paper in the Documents de treball d'economia de l'empresa series is intended as a mean whereby a faculty researcher's thoughts and findings may be communicated to interested readers for their comments. Nevertheless, the ideas put forwards are responsibility of the author. Accordingly a Working Paper should not be quoted nor the data referred to without the written consent of the author. Please, direct your comments and suggestions to the author, which address shows up in the next page. AbstractLack of physical activity can cause health problems and diminish organizational productivity. We conducted a 12-months long field experiment in a financial services company to study the effects of slow-moving treadmills outfitted for office work on employee productivity and health. 43 sedentary volunteers were assigned randomly to two groups to receive treadmill workstations 7 months apart. Employees could opt at will for standard chair-desk arrangement. Biometric measurements were taken quarterly and weekly online performance surveys were administered to study participants and to more than 200 non-participants and their supervisors.In this study we explore three questions concerning the effects of the introduction of treadmills in the workplace.(1) Does it improve overall physical activity? (2) Does it improve health measures? (3) Does it improve performance?The answers are as follows. (1) (Brownell, 1995; Hughes et al., 2007). In addition, obesity and related negative health outcomes increase health care costs (Aldana, 2001;Golaszewski, 2001) and reduce worker performance (Ricci and Chee, 2005; Bates et al., 2008;Goetzel et al., 2010). Conversely, the effect of physical activity on health is unequivocally positive for all levels of intensity and duration; the greatest health improvements due to additional activity occur among individuals who have the lowest baseline levels of physical activity (Powell, Paluch and Blair 2011).There is therefore an individual and public interest in engaging greater numbers of people in physical activity. Alas, physical activity is not a free good: it frequently costs time and money, and for most people it is probably a source of direct disutility. Because of a combination of ignorance, preferences, externalities and unrealistically high time discount rates, most individuals engage in a level of physical activity below that deemed by many observers as individually and socially optimal.Physical activity may be part of normal daily activities as a natural by-product of other activities and at no additional cost, such as physical...

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“…While cheap and relatively easy to administer [6,7], physical activity questionnaires are incapable of objectively quantifying physical activity and, due to self-report, are inherently unreliable. One study in 2011 found a 40% difference between participants who met recommended daily activity levels when daily activity levels were determined through self-reported questionnaire versus direct researcher observation [8]. Objective methods are necessary to quantify physical activity in order to assess its impacts on health.…”

mentioning

confidence: 99%

Establishing Digital Biomarkers for Occupational Health Assessment in Commercial Salmon Fishermen: Protocol for a Mixed-Methods Study (Preprint)

Wilbur¹,

Griffin²,

Sorensen³

et al. 2018

Preprint

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IntroductionCommercial salmon fishing in Alaska is one of the most dangerous occupations in the United States. Between 1992 and 2008, the average annual industry mortality rate was 128 deaths per 100,000 workers [1], and despite an increase in industry regulations, there has not been a significant decrease in mortality rate since 2000 [2]. The majority of recorded injuries and mortality result from on-deck injuries, particularly those involving machinery, and falls overboard [2]. The industry is calling for injury prevention efforts such as increased use of personal flotation devices, but efforts to date have proven minimally successful.Studies have demonstrated a significant, positive relationship between sleep deprivation and response time and vigilant attention [3]. Sleep deprivation has also been shown to decrease resilience to stress and to have a detrimental impact on complex reasoning and decision making [4]. Unpredictable fishing openings and fierce competition for limited resources result in periods of intense sleep deprivation and physical strain during the short commercial salmon seasons in Alaska. Work is often highly physically demanding, requiring regular lifting and pulling of heavy items as well as repetitive movements associated with picking fish from nets, which is performed at high speeds and often for hours at a time. While the industry is currently focused on reducing acute morbidity and mortality, chronic stress, sleep deprivation, and the maintenance of high levels of physical exertion may also contribute to morbidity later in life through increased cardiometabolic risk [5]. We hypothesize that the combined effect of sleep deprivation, intense physical workload and significant short-term chronic stress may be deleterious to health in both the short and long-term among commercial salmon drift gillnet fisherman in Alaska.In order to identify the physical and physiological impacts of commercial fishing on individuals, we intend to complete a mixed methods study designed to elucidate the ways in which sleep deprivation and chronic stress impact the short and long-term health of industry participants. Advancements in biometrics of activity, movement, and physiology in combination with biomarkers of acute and chronic psychosocial stress can provide insight into how the lifestyle and occupational factors associated with commercial fishing may negatively impact both the physical and psychological health of fishermen, while observational data can provide context into the daily activities and environmental pressures inherent to the industry.Biometric devices provide an objective method for quantifying physical activity. Measuring physical activity and sleep deprivation has proven historically challenging, and traditionally has been performed using self-report via physical activity questionnaires. While cheap and relatively easy to administer [6,7], physical activity questionnaires are incapable of objectively quantifying physical activity and, due to self-report, are inherently unreliable. One study...

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Associations between Physical Activity and Physical and Mental Health- A HUNT 3 Study

Abstract: The study suggests that exercising at any level is associated with better physical and mental health in both genders compared with no exercise, particularly among the older individuals.

Cited by 77 publications

References 26 publications

Direct effects of a domain-specific subjective age measure on self-reported physical activity – Is it more important how old you are or how old you feel?

Direct effects of a domain-specific subjective age measure on self-reported physical activity – Is it more important how old you are or how old you feel?

The Effects of Walking While Working on Productivity and Health: A Field Experiment

Establishing Digital Biomarkers for Occupational Health Assessment in Commercial Salmon Fishermen: Protocol for a Mixed-Methods Study (Preprint)

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