| 1. |
- Thomée, Sara, 1965, et al.
(author)
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Perceived connections between information and communication technology use and mental symptoms among young adults - a qualitative study
- 2010
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In: BMC Public Health. - : Springer Science and Business Media LLC. - 1471-2458. ; 10:66
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Journal article (peer-reviewed)abstract
- Abstract: Background: Prospective associations have been found between high use of information and communication technology (ICT) and reported mental symptoms among young adult university students, but the causal mechanisms are unclear. Our aim was to explore possible explanations for associations between high ICT use and symptoms of depression, sleep disorders, and stress among young adults in order to propose a model of possible pathways to mental health effects that can be tested epidemiologically. Methods: We conducted a qualitative interview study with 16 women and 16 men (21-28 years), recruited from a cohort of university students on the basis of reporting high computer (n = 28) or mobile phone (n = 20) use at baseline and reporting mental symptoms at the one-year follow-up. Semi-structured interviews were performed, with open-ended questions about possible connections between the use of computers and mobile phones, and stress, depression, and sleep disturbances. The interview data were analyzed with qualitative content analysis and summarized in a model. Results: Central factors appearing to explain high quantitative ICT use were personal dependency, and demands for achievement and availability originating from the domains of work, study, social life, and individual aspirations. Consequences included mental overload, neglect of other activities and personal needs, time pressure, role conflicts, guilt feelings, social isolation, physical symptoms, worry about electromagnetic radiation, and economic problems. Qualitative aspects (destructive communication and information) were also reported, with consequences including vulnerability, misunderstandings, altered values, and feelings of inadequacy. User problems were a source of frustration. Altered ICT use as an effect of mental symptoms was reported, as well as possible positive effects of ICT on mental health. Conclusions: The concepts and ideas of the young adults with high ICT use and mental symptoms generated a model of possible paths for associations between ICT exposure and mental symptoms. Demands for achievement and availability as well as personal dependency were major causes of high ICT exposure but also direct sources of stress and mental symptoms. The proposed model shows that factors in different domains may have an impact and should be considered in epidemiological and intervention studies.
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| 2. |
- Toomingas, Allan, et al.
(author)
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Variation between seated and standing/walking postures among male and female call centre operators
- 2012
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In: BMC Public Health. - London : Springer Science and Business Media LLC. - 1471-2458. ; 12, s. 154-
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Journal article (peer-reviewed)abstract
- Purpose: The aim of the present study was to assess variation in gross body posture amongst male and female call centre operators using whole-day registrations of seated and standing/walking periods, analyzed and described by a number of novel variables. Methods: Body postures, identified as either seated or standing/walking, were recorded using inclinometers throughout an entire work shift for 43 male and 97 female call centre operators at 16 call centres. Data were analyzed using an extensive set of variables describing occurrence of postures, switches between postures, posture similarities across the day, and compliance with posture recommendations. Results: The majority of the operators, both male and female, spent more than 80% of the shift in a seated posture. The average number of switches between seated and standing/walking or vice versa was 10.4 per hour. Female operators spent, on average, 11% of the day in periods of sustained sitting longer than 1 hour; male operators only 4.6% of the day (p=0.013). Only 38% of the operators followed current standard recommendations of having an uninterrupted break from seated work, lasting a minimum of 5minutes within a one hour of work and only 11% of operators had a 10 minute (or longer) uninterrupted break. Substantial variation between operators was observed in many variables. Since work tasks were essentially similar across operators and were expected to be similar across days, this indicates individual differences in working technique. Conclusions: The dominance of seated work for extended periods indicates that efforts should be made at call centres to introduce more gross physical variation during the work day. Appropriate and effective initiatives for realizing this intervention need to be identified
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| 3. |
- Lunde, Lars-Kristian, et al.
(author)
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Musculoskeletal health and work ability in physically demanding occupations : study protocol for a prospective field study on construction and health care workers
- 2014
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In: BMC Public Health. - : Springer Science and Business Media LLC. - 1471-2458. ; 14
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Journal article (peer-reviewed)abstract
- Background: Musculoskeletal disorders have a profound impact on individual health, sickness absence and early retirement, particularly in physically demanding occupations. Demographics are changing in the developed countries, towards increasing proportions of senior workers. These senior workers may have particular difficulties coping with physically demanding occupations while maintaining good health. Previous studies investigating the relationship between physical work demands and musculoskeletal disorders are mainly based on self-reported exposures and lack a prospective design. The aim of this paper is to describe the background and methods and discuss challenges for a field study examining physical demands in construction and health care work and their prospective associations with musculoskeletal disorders, work ability and sickness absence.Methods and design: This protocol describes a prospective cohort study on 1200 construction and health care workers. Participants will answer a baseline questionnaire concerning musculoskeletal complaints, general health, psychosocial and organizational factors at work, work demands, work ability and physical activity during leisure. A shorter questionnaire will be answered every 6 months for a total of two years, together with continuous sickness absence monitoring during this period. Analysis will prospectively consider associations between self-reported physical demands and musculoskeletal disorders, work ability and sickness absence. To obtain objective data on physical exposures, technical measurements will be collected from two subgroups of N = 300 (Group A) and N = 160 (Group B) during work and leisure. Both group A and B will be given a physical health examination, be tested for physical capacity and physical activity will be measured for four days. Additionally, muscle activity, ground reaction force, body positions and physical activity will be examined during one workday for Group B. Analysis of associations between objectively measured exposure data and the outcomes described above will be done separately for these subpopulations.Discussion: The field study will at baseline produce objectively measured data on physical demands in the construction and health care occupations. In combination with clinical measurements and questionnaire data during follow-up, this will provide a solid foundation to prospectively investigate relationships between physical demands at work and development of musculoskeletal disorders, work ability and sickness absence.
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| 4. |
- Sobko, Tanja, et al.
(author)
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A randomised controlled trial for overweight and obese parents to prevent childhood obesity--Early STOPP (STockholm Obesity Prevention Program).
- 2011
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In: BMC Public Health. - : Springer Science and Business Media LLC. - 1471-2458. ; 11, s. 336-
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Journal article (peer-reviewed)abstract
- Background: Overweight and obesity have a dramatic negative impact on children's health not only during the childhood but also throughout the adult life. Preventing the development of obesity in children is therefore a world-wide health priority. There is an obvious urge for sustainable and evidenced-based interventions that are suitable for families with young children, especially for families with overweight or obese parents. We have developed a prevention program, Early STOPP, combating multiple obesity-promoting behaviors such unbalanced diet, physical inactivity and disturbed sleeping patterns. We also aim to evaluate the effectiveness of the early childhood obesity prevention in a well-characterized population of overweight or obese parents. This protocol outlines methods for the recruitment phase of the study.Design and methods: This randomized controlled trial (RCT) targets overweight and/or obese parents with infants, recruited from the Child Health Care Centers (CHCC) within the Stockholm area. The intervention starts when infants are one year of age and continues until they are six and is regularly delivered by a trained coach (dietitian, physiotherapist or a nurse). The key aspects of Early STOPP family intervention are based on Swedish recommendations for CHCC, which include advices on healthy food choices and eating patterns, increasing physical activity/reducing sedentary behavior and regulating sleeping patterns.Discussion: The Early STOPP trial design addresses weaknesses of previous research by recruiting from a well-characterized population, defining a feasible, theory-based intervention and assessing multiple measurements to validate and interpret the program effectiveness. The early years hold promise as a time in which obesity prevention may be most effective. To our knowledge, this longitudinal RCT is the first attempt to demonstrate whether an early, long-term, targeted health promotion program focusing on healthy eating, physical activity/reduced sedentary behaviors and normalizing sleeping patterns could be effective. If proven so, Early STOPP may protect children from the development of overweight and obesity.Trial registration: The protocol for this study is registered with the clinical trials registry clinicaltrials.gov, ID: ES-2010)
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| 5. |
- Ding, Lijie, et al.
(author)
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Smoking, heavy drinking, physical inactivity, and obesity among middle-aged and older adults in China : cross-sectional findings from the baseline survey of CHARLS 2011-2012.
- 2020
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In: BMC Public Health. - : BioMed Central. - 1471-2458. ; 20:1
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Journal article (peer-reviewed)abstract
- BACKGROUND: Prevention and control of cardiometabolic conditions and cardiovascular disease (CVD) in China may contribute to sustainable CVD reduction globally, given the fact that one-fifth of the worldwide population is in China. Knowing the distribution of behavioral risk factors (e.g., smoking and physical inactivity), especially at a national level in China, would be extremely relevant to the field of public health and CVD prevention. The objectives of this study were to investigate the nationwide prevalence of obesity, smoking, heavy drinking, and physical inactivity in Chinese adults, and further explore whether cardiometabolic conditions would modify the distribution of behavioral risk factors.METHODS: This population-based study is based on the China Health and Retirement Longitudinal Study (2011-2012), including 17,302 adults (≥45 years, mean age 59.67 years, female 51.66%) from 25 provinces in China. Data on demographics, lifestyle factors, health status and history of diseases were collected via structured interviews and laboratory tests. Smoking, heavy drinking, obesity, and physical inactivity were defined following standard guidelines. We performed descriptive analysis and logistic regressions in this study.RESULTS: The overall prevalence of heavy drinking, obesity, current smoking, and physical inactivity among middle-aged and older adults was 7.23% (95% confidence interval 6.53-7.29%), 11.53% (10.43-12.62%), 27.46% (26.30-28.62%), and 44.06% (41.19-46.92%), respectively. The prevalence varied between rural and urban areas as well as among geographic areas, with higher prevalence in the Northern and Northeastern regions. Heavy drinking and obesity were significantly associated with incident hypertension, diabetes, and high cholesterol; while current smoking was significantly associated with incident hypertension. Compared with healthy individuals, participants who self-reported a diagnosis of hypertension, high cholesterol, or diabetes were less likely to smoke currently and drink alcohol heavily, but more likely to be physically inactive and obese.CONCLUSIONS: Among Chinese middle-aged and older adults, the prevalence of behavioral risk factors varies by geographic region. Further effort is required to improve physical activity and fitness for Chinese adults, especially those with cardiometabolic conditions.
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| 6. |
- Mkhitaryan, Samvel, et al.
(author)
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How to use machine learning and fuzzy cognitive maps to test hypothetical scenarios in health behavior change interventions : a case study on fruit intake
- 2023
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In: BMC Public Health. - : Springer Nature. - 1471-2458. ; 23:1
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Journal article (peer-reviewed)abstract
- Background: Intervention planners use logic models to design evidence-based health behavior interventions. Logic models that capture the complexity of health behavior necessitate additional computational techniques to inform decisions with respect to the design of interventions. Objective: Using empirical data from a real intervention, the present paper demonstrates how machine learning can be used together with fuzzy cognitive maps to assist in designing health behavior change interventions. Methods: A modified Real Coded Genetic algorithm was applied on longitudinal data from a real intervention study. The dataset contained information about 15 determinants of fruit intake among 257 adults in the Netherlands. Fuzzy cognitive maps were used to analyze the effect of two hypothetical intervention scenarios designed by domain experts. Results: Simulations showed that the specified hypothetical interventions would have small impact on fruit intake. The results are consistent with the empirical evidence used in this paper. Conclusions: Machine learning together with fuzzy cognitive maps can assist in building health behavior interventions with complex logic models. The testing of hypothetical scenarios may help interventionists finetune the intervention components thus increasing their potential effectiveness.
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| 7. |
- Pettersson, Linda, et al.
(author)
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Disability digital divide : survey of accessibility of eHealth services as perceived by people with and without impairment
- 2023
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In: BMC Public Health. - : Springer Nature. - 1471-2458. ; 23:1
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Journal article (peer-reviewed)abstract
- BackgroundSustainable and effective eHealth requires accessibility for everyone. Little is known about how accessibility of eHealth is perceived among people with various impairments. The aim of this study was to compare use and perceived difficulty in the use of eHealth among people with and without impairment, and how different types of impairment were associated with perceived difficulty in the use of eHealth.MethodsThis study used data collected in a nationwide survey in Sweden. Snowball sampling was used to recruit participants with self-reported impairment, from June to October 2019. In February 2020, the survey was posted to people in the general population who were matched to the participants with impairment by age, gender and county of residence. Multiple logistic regression was used to analyse the use of four eHealth services, and perceived difficulty in the use of six eHealth services.ResultsIn total, 1631 participants with, and 1084 participants without impairment responded to the survey. Participants with impairment reported less use and more difficulty in the use of all eHealth services as compared to participants without impairment. When comparing types of impairment, booking healthcare appointments online was least used and most avoided by participants with communication, language and calculation impairments (adjusted odds ratio (aOR) use 0.64, 95% confidence interval (95%CI) 0.49-0.83; aOR avoid 1.64, 95%CI 1.19-2.27), and intellectual impairments (aOR use 0.28, 95%CI 0.20-0.39; aOR avoid 2.88, 95%CI 1.86-4.45). The Swedish national web-portal for health information and services, 1177.se, was reported difficult to use the most among participants with communication, language and calculation impairments (aOR 2.24, 95%CI 1.50-3.36), deaf-blindness (aOR 11.24, 95%CI 3.49-36.23) and hearing impairment (aOR 2.50, 95%CI 1.17-5.35).ConclusionsThe results confirm the existence of an eHealth disability digital divide. People with impairment were not one homogeneous group, but differed in perceived difficulties in regard to eHealth. Based on a purposeful subgrouping of impairments, we showed that people with communication, language and calculation impairments, and intellectual impairments, reported least use and most difficulty in using eHealth. The findings can guide further research in creating eHealth that is accessible for all, including those with the most significant difficulties.
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