Tomi Mäki‐Opas

ORCID: 0000-0002-0472-719X
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Physical Activity and Health
  • Obesity, Physical Activity, Diet
  • Research in Social Sciences
  • Health disparities and outcomes
  • Genetic Associations and Epidemiology
  • Urban Transport and Accessibility
  • Health, psychology, and well-being
  • Cognitive Abilities and Testing
  • Genetics and Neurodevelopmental Disorders
  • Mobile Health and mHealth Applications
  • Psychological Well-being and Life Satisfaction
  • Cardiovascular and exercise physiology
  • Birth, Development, and Health
  • Workplace Health and Well-being
  • Eating Disorders and Behaviors
  • Traffic and Road Safety
  • Urban Green Space and Health
  • Employment and Welfare Studies
  • Occupational health in dentistry
  • Health, Environment, Cognitive Aging
  • Motivation and Self-Concept in Sports
  • School Health and Nursing Education
  • Impact of Technology on Adolescents
  • Liver Disease Diagnosis and Treatment
  • Child and Adolescent Health

University of Eastern Finland
2017-2024

Finnish Institute for Health and Welfare
2009-2022

Finland University
2019-2020

Nokia (Finland)
2020

Amsterdam University Medical Centers
2019

University of Amsterdam
2014-2019

Finnish Society of Sciences and Letters
2018

University of Turku
2016

Finnish Environment Institute
2016

National Institutes of Health
2013

Regular physical activity (PA) confers many positive effects on health and well-being. Sedentary behavior (SB), in turn, is a risk factor for health, regardless of the level moderate to vigorous PA. The present study describes levels objectively measured SB, breaks standing still PA among Finnish adults.This cross-sectional analysis based sub-sample population-based Health 2011 Study adults. population consisted 18-to-85-year old men women who wore waist-worn triaxial accelerometer (Hookie...

10.1186/s12889-016-3591-y article EN cc-by BMC Public Health 2016-09-01

The relationship between physical activity (PA) and positive mental health (PMH) has been studied mainly by either concentrating on total PA or focusing leisure time PA. This study investigated whether domains of time, commuting occupational screen sitting at home were associated with PMH. used a national population study, the FinHealth 2017 Study that included Warwick-Edinburgh Mental Well-being Scale (WEMWBS) as measurement for Of all (n = 10305, whom 10247 eligible) invited, 58.1% (5952)...

10.1016/j.mhpa.2020.100319 article EN cc-by Mental health and physical activity 2020-01-23

The current political agenda aims to promote active environments and physical activity while commuting work, but research on it has provided mixed results. This study examines whether the proximity of green space people's residence in different travel-related urban zones contributes activity. Population-based cross-sectional health examination survey, Health 2011 study, geographical information system (GIS) data were utilized. GIS linked individuals based their home geocoordinates. Commuting...

10.1186/s12889-016-3264-x article EN cc-by BMC Public Health 2016-08-11

Abstract Assessing movement over 24 hours increases our understanding of the total physical activity level and its patterns. In FinHealth 2017 Survey, a population-based health examination study, 940 participants between 25 93 years were instructed to wear an accelerometer (Actigraph GT9X Link) on their non-dominant wrist for 7 consecutive days. Physical information was extracted from 100-Hz triaxial 60-second epoch data as average vector magnitude counts per minute (VM cpm). Results...

10.1038/s41598-019-43007-x article EN cc-by Scientific Reports 2019-04-25

Objective Our aim was to examine the contribution of past and current physical workload occupational class differences in leisure-time inactivity. Methods Data were taken from Finnish population-based Health 2000 Survey employees aged ≥30 years (N=3355). We assessed activity during leisure time using a questionnaire dichotomized responses inactive versus active. Occupational classified into white- blue-collar worker. Adjustments made for work-related factors, other measures socioeconomic...

10.5271/sjweh.2879 article EN cc-by Scandinavian Journal of Work Environment & Health 2009-12-04

The trend of socioeconomic differences in physical activity is largely unknown Finland. In this study, we examined trends leisure-time and commuting among Finns 1978-2002. Nationwide data were derived from an annually repeated cross-sectional Finnish Adult Health Behavior Survey. People under the age 25, students, unemployed, retirees excluded analysis. final set included 25 513 women 302 men. Socioeconomic variables education, occupation, household income. Odds ratios for being physically...

10.1111/j.1600-0838.2007.00739.x article EN Scandinavian Journal of Medicine and Science in Sports 2009-03-17

Although educational differences in leisure‐time physical activity (LTPA) exist across Europe, the independent effect of level on has rarely been explored. This study examines relative contribution occupational class, employment status, and to LTPA 12 European countries. The data were obtained from health surveys conducted at turn century identified EUROTHINE project. All information was self‐reported. Logistic regression applied inequality index (RII) calculated. Analyses limited those...

10.1111/j.1600-0838.2010.01234.x article EN Scandinavian Journal of Medicine and Science in Sports 2010-10-07

This study evaluates the agreement between different methods to assess moderate vigorous physical activity (MVPA) in a large sample of Finnish adults. Methods were classified and examined pairwise (accelerometer vs diary; questionnaire interview). Proportion participants meeting aerobic health‐enhancing (HEPA) recommendation was compared all four methods. The present 1916 adults aged 18‐75 years (mean age 50 years, 57% women) is sub‐sample population‐based Health 2011 Study conducted by...

10.1111/sms.13244 article EN Scandinavian Journal of Medicine and Science in Sports 2018-06-20

The aim of this study was to explore long-term predictors leisure time physical activity in the general population. This comprised 718 men and women who participated national Mini-Finland Health Survey from 1978–1980 were re-examined 2001. Participants aged 30–80 at baseline. Measurements included interviews, health examinations, self-administered questionnaires, with information on socioeconomic position, occupational activity, fitness, body mass index, smoking, alcohol consumption,...

10.1186/1479-5868-9-121 article EN cc-by International Journal of Behavioral Nutrition and Physical Activity 2012-01-01

Physical inactivity has become a major public health problem and clear educational differences in physical activity have been reported across Europe USA. The origins of adulthood are suggested to be childhood adolescence activity. Hardly any studies have, however, examined if the might also due early experiences Thus, our aim was examine how competitive sports youth, exercise late adolescence, opinions on education (PE) determined leisure-time (LTPA) different groups.We used cross-sectional...

10.1186/1479-5868-7-27 article EN cc-by International Journal of Behavioral Nutrition and Physical Activity 2010-01-01

Background: Our purpose was to assess the direct and indirect contribution of childhood socio-economic conditions educational differences in leisure-time physical activity among women men. Methods: Population-based data were derived from a representative sample Finns aged ≥30 years (N = 7112) as part Health 2000 Survey. Multinomial logistic regression analysis applied. Leisure-time divided into inactivity, moderate high activity. Results: Childhood had both effect through adulthood on The...

10.1093/eurpub/ckp187 article EN European Journal of Public Health 2009-11-30

The socioeconomic gradient in obesity and overweight is amply documented. However, the contribution of different indicators on trends body mass index (BMI) over time less well known. aim this study was to investigate associations education income with from late 1970s early 2000s.Data were derived nationwide cross-sectional health behaviour surveys carried out among Finns annually since 1978. This comprises data a 25-year period (1978-2002) that included 25 339 men 330 women aged 25-64 years....

10.1186/1471-2458-12-936 article EN cc-by BMC Public Health 2012-10-31

Limited knowledge exists on how childhood social, health-related and economic circumstances predict adult physical inactivity. Our aim was a) to examine various adversities living conditions leisure-time inactivity in early adulthood b) find out whether these associations are mediated through the respondent's own education.Young adults aged 18-29 were used from Health 2000 Study of Finnish. The cross-sectional data based interviews questionnaires including retrospective information...

10.1123/jpah.2013-0245 article EN Journal of Physical Activity and Health 2014-04-24

Abstract The capability approach argues that having effective choices and fair opportunities are essential to maintain promote one’s own health quality of life (QoL). This study examines the determinants QoL in four disadvantaged population groups (young people not education, employment, or training; long-term unemployed; refugees; older living alone) within framework capabilities by tracking direct indirect effects individual structural factors on their QoL. Cross-sectional data (N = 866)...

10.1038/s41598-022-18877-3 article EN cc-by Scientific Reports 2022-09-15

Increasing amount of renewable energy generation reduces predictability power in electrical grids. Increased error between production and consumption balance is shown as fluctuation the grid frequency. Transmission system operators use frequency containment reserves for control. To be able to operate a control reserve, reserve unit must fulfill requirements defining dynamic response. Conventional hydropower plants have limited bandwidth because massive mechanical actuators. However, battery...

10.1109/eeeic/icpseurope49358.2020.9160666 article EN 2022 IEEE International Conference on Environment and Electrical Engineering and 2022 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) 2020-06-01

Hyvinvoinnin kuvaaminen kokonaisvaltaisesti vaatii monia erilaisia indikaattoreita. On hyvä ymmärtää, mitä lisäarvoa indikaattorit tuovat suhteessa toisiinsa, ja eroja mittareilla on hyvinvoinnista muodostuvan kuvan kannalta. Tämän tutkimuksen tavoitteena oli tarkastella: 1) miten koetun hyvinvoinnin eri mittarit kattavat ulottuvuuksia ne suhtautuvat 2) tarkastella näiden mittareiden avulla sitä, väestön hyvinvoinnissa hyvinvointialueilla, 3) tutkia sosiodemografisten -ekonomisten tekijöiden...

10.23990/sa.122584 article FI Sosiaalilääketieteellinen Aikakauslehti 2024-02-20

Background: Available information about the association between education and physical fitness (PF) is scarce. The purpose of this study was to examine educational differences in PF working age population using different methods assess PF. Methods: Health 2000 Survey carried out for adults aged ≥30 years (n = 8028) Finland. For study, 30–54-year-old men women with data on activity (PA) were selected 3724). assessed by self-estimated overall running ability, a physician's estimation...

10.1093/eurpub/ckt049 article EN European Journal of Public Health 2013-05-31

Health and medicine are key areas of sociological specialisation, but in the face rapid global challenges, they changing. The need for change is becoming more urgent relevance some traditional approaches, frameworks theoretical perspectives should be evaluated. aim this article to reflect on issue explore what could done response scientific societal developments. We argue that innovative approaches better research questions would guide us responsive as medical sociologists. In particular, we...

10.3389/fsoc.2018.00004 article EN cc-by Frontiers in Sociology 2018-04-05
Coming Soon ...