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  • 1.
    Bendtsen, Marcus
    et al.
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences.
    Bendtsen, Preben
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Local Health Care Services in West Östergötland, Department of Medical Specialist in Motala.
    Henriksson, Hanna
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences.
    Henriksson, Pontus
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences.
    Müssener, Ulrika
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences.
    Thomas, Kristin
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences.
    Löf, Marie
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences. Karolinska Inst, Sweden.
    The Mobile Health Multiple Lifestyle Behavior Interventions Across the Lifespan (MoBILE) Research Program: Protocol for Development, Evaluation, and Implementation2020In: JMIR Research Protocols, E-ISSN 1929-0748, Vol. 9, no 4, article id e14894Article in journal (Refereed)
    Abstract [en]

    Background: Clustering of multiple lifestyle risk behaviors has been associated with a greater risk of noncommunicable diseases and mortality than one lifestyle risk behavior or no lifestyle risk behaviors. The National Board of Health and Welfare in Sweden reported in 2018 that it is important to provide additional support to individuals with multiple lifestyle risk behaviors, as risks from these behaviors are multiplicative rather than additive. However, the same report emphasized that there is a lack of knowledge regarding interventions that support changes to unhealthy lifestyle behaviors.

    Objective: The MoBILE (Mobile health Multiple lifestyle Behavior Interventions across the LifEspan) research program has brought together two Swedish research groups supported by international collaborators. Through this collaboration, we aim to design and evaluate a number of novel and tailored mobile health (mHealth) multiple lifestyle behavior interventions across the life span of different health care populations. In addition, the MoBILE research program will extend ongoing research to include mHealth interventions for migrant pregnant women and children.

    Methods: Each project within the MoBILE program will focus on a specific group: pregnant women, preschool children, high school and university students, and adults in primary and clinical care. All the projects will follow the same 4 phases: requirements, development, evaluation, and implementation. During the requirements phase, implementers and end users will aid the design of content and functionality of the interventions. In the development phase, findings from the first phase will be synthesized with expert domain knowledge and theoretical constructs to create interventions tailored to the target groups. The third phase, evaluation, will comprise randomized controlled trials conducted to estimate the effects of the interventions on multiple lifestyle risk behaviors (eg, alcohol, nutrition, physical activity, and smoking). The final phase will investigate how the interventions, if found effective, can be disseminated into different health care contexts.

    Results: The research program commenced in 2019, and the first results will be available in 2020. Projects involving pregnant women, preschool children, and high school and university students will be completed in the first 3 years, with the remaining projects being planned for the program’s final 3 years.

    Conclusions:The development of evidence-based digital tools is complex, as they should be guided by theoretical frameworks, and requires large interdisciplinary teams with competence in technology, behavioral science, and lifestyle-specific areas. Individual researchers or smaller research groups developing their own tools is not the way forward, as it means reinventing the wheel over and over again. The MoBILE research program therefore aims to join forces and learn from the past 10 years of mHealth research to maximize scientific outcomes, as well as the use of financial resources to expand the growing body of evidence for mHealth lifestyle behavior interventions.

     

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  • 2.
    Bendtsen, Marcus
    et al.
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences.
    Seiterö, Anna
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences.
    Bendtsen, Preben
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Local Health Care Services in West Östergötland, Department of Medical Specialist in Motala.
    Olsson, Hanna
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences.
    Henriksson, Pontus
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences.
    Thomas, Kristin
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences.
    Löf, Marie
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences.
    Müssener, Ulrika
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences.
    mHealth intervention for multiple lifestyle behaviour change among high school students in Sweden (LIFE4YOUth): Protocol for a randomised controlled trial2021In: Public Health Nursing, ISSN 0737-1209, E-ISSN 1525-1446, Vol. 21, no 1Article in journal (Refereed)
    Abstract [en]

    BackgroundNational surveys in Sweden demonstrate that the majority of young people do not engage in health promoting behaviours at levels recommended by the Public Health Agency of Sweden. The objective of this study is to estimate the effectiveness of a novel mHealth intervention named LIFE4YOUth, which targets multiple lifestyle behaviours (alcohol, diet, physical activity, and smoking) among high school students in Sweden.MethodsA 2-arm parallel groups single blind randomised controlled trial (1:1) will be employed to estimate the effectiveness of the novel mHealth intervention. Students will be recruited at high schools throughout Sweden, and will be included if they fulfil one of six criteria relating to unhealthy behaviours with respect to alcohol, diet, physical activity and smoking. Eligible participants will be randomised to either receive the novel intervention immediately, or to be placed on a waiting list for 4 months. The intervention consists of a combination of recurring screening, text messages, and an interactive platform which is adaptable to individual preferences. Outcome measures with respect to alcohol, diet, physical activity and smoking will be assessed through questionnaires at 2 and 4 months post randomisation.DiscussionThe findings of this trial could be generalised to a diverse high-school student population as our recruitment encompass a large proportion of schools throughout Sweden with various educational profiles. Furthermore, if effective, the mHealth intervention has good potential to be able to be scaled up and disseminated at high schools nationally.Trial registrationRegistered prospectively on 2020-05-20 in ISRCTN (ISRCTN34468623).

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  • 3.
    De-la-O, A.
    et al.
    Univ Granada, Spain.
    Jurado-Fasoli, Lucas
    Univ Granada, Spain.
    Gracia-Marco, L.
    Univ Granada, Spain.
    Henriksson, Pontus
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences. Karolinska Inst, Sweden.
    Castillo, M. J.
    Univ Granada, Spain.
    Amaro-Gahete, F. J.
    Univ Granada, Spain.
    Association of Energy and Macronutrients Intake with S-Klotho Plasma Levels in Middle-Aged Sedentary Adults: A Cross-Sectional Study2022In: The Journal of Nutrition, Health & Aging, ISSN 1279-7707, E-ISSN 1760-4788, Vol. 26, p. 360-367Article in journal (Refereed)
    Abstract [en]

    Background The ageing process can be influenced by energy intake and different macronutrients within the diet. The soluble form of the a-Klotho gene (called S-Klotho) is widely considered as a powerful anti-ageing biomarker. Objective To analyze the association of energy, dietary energy density and macronutrient intake with S-Klotho plasma levels in middle-aged sedentary adults. Methods A total of 72 (52.8% women) middle-aged sedentary adults (53.7 +/- 5.2 years old) participated in the study. Energy and macronutrients intake (i.e. fat, carbohydrate and protein) were assessed using three non-consecutive 24-h recalls. S-Klotho plasma levels were measured in the Ethylenediaminetetraacetic acid (EDTA) plasma using a solid-phase sandwich enzyme-linked immunosorbent assay. Results No association was observed between energy, dietary energy density or macronutrient intake and S-Klotho plasma levels in men (all P >= 0.1). We found an inverse association between energy, protein and carbohydrate intake with S-Klotho plasma levels in women (all P <= 0.043), which disappeared after controlling for age, lean mass index and sedentary time. An inverse association was observed between dietary energy density and S-Klotho plasma levels in women after controlling for covariates (all P <= 0.05). Conclusion In summary, the present study showed an inverse association of dietary energy density with S-Klotho plasma levels in middle-aged women. In addition, our data suggest that the associations between energy and macronutrient intake could be highly dependent on lean mass and sedentary time.

  • 4.
    Delisle Nystrom, Christine
    et al.
    Karolinska Institute, Sweden.
    Henriksson, Pontus
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences. PROmoting FITness and Health Phys Actv Research Grp PROFIT, Spain.
    Alexandrou, Christina
    Karolinska Institute, Sweden.
    Löf, Marie
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences. Karolinska Institute, Sweden.
    The Tanita SC-240 to Assess Body Composition in Pre-School Children: An Evaluation against the Three Component Model2016In: Nutrients, E-ISSN 2072-6643, Vol. 8, no 6, p. 371-Article in journal (Refereed)
    Abstract [en]

    Quick, easy-to-use, and valid body composition measurement options for young children are needed. Therefore, we evaluated the ability of the bioelectrical impedance (BIA) device, Tanita SC-240, to measure fat mass (FM), fat free mass (FFM) and body fatness (BF%) in 40 healthy, Swedish 5.5 years old children against the three component model (3C model). Average BF%, FM, and FFM for BIA were: 19.4% +/- 3.9%, 4.1 +/- 1.9 kg, and 16.4 +/- 2.4 kg and were all significantly different (p amp;lt; 0.001) from corresponding values for the 3C model (25.1% +/- 5.5%, 5.3 +/- 2.5 kg, and 15.2 +/- 2.0 kg). Bland and Altman plots had wide limits of agreement for all body composition variables. Significant correlations ranging from 0.81 to 0.96 (p amp;lt; 0.001) were found for BF%, FM, and FFM between BIA and the 3C model. When dividing the children into tertiles for BF%, 60% of children were classified correctly by means of BIA. In conclusion, the Tanita SC-240 underestimated BF% in comparison to the 3C model and had wide limits of agreement. Further work is needed in order to find accurate and easy-to-use methods for assessing body composition in pre-school children.

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  • 5.
    Flor-Alemany, Marta
    et al.
    Univ Granada, Spain; Univ Granada, Spain; Sport & Hlth Univ Res Inst iMUDS, Spain.
    Baena-Garcia, Laura
    Univ Granada, Spain.
    Hidalgo Migueles, Jairo Hidalgo
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences. Univ Granada, Spain; Karolinska Inst, Sweden.
    Henriksson, Pontus
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences.
    Löf, Marie
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences. Karolinska Inst, Sweden.
    Aparicio, Virginia A.
    Univ Granada, Spain; Univ Granada, Spain; Sport & Hlth Univ Res Inst iMUDS, Spain.
    Associations of Mediterranean diet with psychological ill-being and well-being throughout the pregnancy course: The GESTAFIT project2022In: Quality of Life Research, ISSN 0962-9343, E-ISSN 1573-2649, Vol. 31, p. 2705-2716Article in journal (Refereed)
    Abstract [en]

    Purpose The relation between diet and maternal mental health during pregnancy might be relevant to prevent adverse materno-foetal outcomes. This study examined the association of Mediterranean diet (MD) adherence and MD components with mental health during pregnancy. Methods This secondary analysis of the GESTAFIT trial included longitudinal data from 152 pregnant women. Dietary habits were assessed with a food frequency questionnaire, and MD adherence was derived from it using the Mediterranean Food pattern. Psychological ill-being (i.e., negative affect, anxiety, and depression) and well-being (i.e., emotional intelligence, resilience, positive affect) were assessed with the Spanish version of well-established self-reported questionnaires. Cross-sectional (16th gestational week [g.w.]) and longitudinal associations (34th g.w.) between MD and mental health were studied using linear regression models. Results A greater MD adherence was inversely associated with negative affect and anxiety; and positively associated with emotional regulation, resilience and positive affect at the 16th and 34th g.w. (|beta| ranging from 0.179 to 0.325, all p < 0.05). Additionally, a higher intake of whole grain cereals, fruits, vegetables, fish, olive oil and nuts, and a lower intake of red meat and subproducts and sweets were associated with lower negative affect, anxiety, depression and higher emotional regulation, resilience and positive affect throughout gestation (|beta| ranging from 0.168 to 0.415, all p < 0.05). Conclusion A higher intake of whole grain cereals, fruits, vegetables, fish, olive oil and nuts, together with a lower intake of red meat and sweets, resulted in a higher MD adherence, which was associated with a better mental health during pregnancy.

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  • 6.
    Forsum, Elisabet
    et al.
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Flinke Carlsson, Eva
    Östergötlands Läns Landsting, Center of Paediatrics and Gynaecology and Obstetrics, Department of Paediatrics in Linköping.
    Henriksson, Hanna
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Henriksson, Pontus
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Löf, Marie
    Karolinska Institutet, Stockholm, Sweden .
    BMI kan inte säkert identifiera 4-åringar med hög kroppsfetthalt2013In: Läkartidningen, ISSN 0023-7205, E-ISSN 1652-7518, Vol. 110, no 36Article in journal (Other academic)
  • 7.
    Forsum, Elisabet
    et al.
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Flinke Carlsson, Eva
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Henriksson, Hanna
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Henriksson, Pontus
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Löf, Marie
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences. Department of Biosciences and Nutrition, Karolinska Institute, Huddinge, Sweden.
    Total body fat content versus BMI in 4-year-old healthy Swedish children.2013In: Journal of Obesity, ISSN 2090-0708, E-ISSN 2090-0716, Vol. 2013, article id 206715Article in journal (Refereed)
    Abstract [en]

    Childhood overweight and obesity, a worldwide problem, is generally identified using BMI (body mass index). However, this application of BMI has been little investigated in children below 5 years of age due to a lack of appropriate methods to assess body composition. Therefore, we used air displacement plethysmography (ADP) to study 4.4-year old boys and girls since this method is accurate in young children if they accept the requirements of the measurement. The purpose was to analyze the relationship between BMI and body fat in these children. Body composition was assessed in 76 (43 boys, 33 girls) of the 84 children brought to the measurement session. Boys and girls contained 25.2 ± 4.7 and 26.8 ± 4.0% body fat, respectively. BMI-based cut-offs for overweight could not effectively identify children with a high body fat content. There was a significant (P < 0.001) but weak (r = 0.39) correlation between BMI and body fat (%). In conclusion, requirements associated with a successful assessment of body composition by means of ADP were accepted by most 4-year-olds. Furthermore, BMI-based cut-offs for overweight did not effectively identify children with a high body fatness and BMI explained only a small proportion of the variation in body fat (%) in this age group.

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  • 8.
    Forsum, Elisabet
    et al.
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Henriksson, Pontus
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Löf, Marie
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences. Karolinska Institute, Novum, Sweden.
    The Two-Component Model for Calculating Total Body Fat from Body Density: An Evaluation in Healthy Women before, during and after Pregnancy2014In: Nutrients, E-ISSN 2072-6643, Vol. 6, no 12, p. 5888-5899Article in journal (Refereed)
    Abstract [en]

    A possibility to assess body composition during pregnancy is often important. Estimating body density (D-B) and use the two-component model (2CM) to calculate total body fat (TBF) represents an option. However, this approach has been insufficiently evaluated during pregnancy. We evaluated the 2CM, and estimated fat-free mass (FFM) density and variability in 17 healthy women before pregnancy, in gestational weeks 14 and 32, and 2 weeks postpartum based on D-B (underwater weighing), total body water (deuterium dilution) and body weight, assessed on these four occasions. TBF, calculated using the 2CM and published FFM density (TBF2CM), was compared to reference estimates obtained using the three-component model (TBF3CM). TBF2CM minus TBF3CM (mean +/- 2SD) was -1.63 +/- 5.67 (p = 0.031), -1.39 +/- 7.75 (p = 0.16), -0.38 +/- 4.44 (p = 0.49) and -1.39 +/- 5.22 (p = 0.043) % before pregnancy, in gestational weeks 14 and 32 and 2 weeks postpartum, respectively. The effect of pregnancy on the variability of FFM density was larger in gestational week 14 than in gestational week 32. The 2CM, based on D-B and published FFM density, assessed body composition as accurately in gestational week 32 as in non-pregnant adults. Corresponding values in gestational week 14 were slightly less accurate than those obtained before pregnancy.

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  • 9.
    Henriksson, Hanna
    et al.
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. PROmoting FITness and Health through physical activity research group (PROFITH), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain.
    Henriksson, Pontus
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Department of Biosciences and Nutrition, Karolinska Institutet, NOVUM, Huddinge, Sweden.
    Tynelius, Per
    Department of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden; Centre for Epidemiology and Community Medicine, Stockholm County Council, Stockholm, Sweden.
    Ortega, Francisco B
    PROmoting FITness and Health through physical activity research group (PROFITH), Department of Physical Education and Sports, Faculty of Sport Sciences, University of Granada, Granada, Spain; Department of Biosciences and Nutrition, Karolinska Institutet, NOVUM, Huddinge, Sweden.
    Muscular weakness in adolescence is associated with disability 30 years later: a population-based cohort study of 1.2 million men2019In: British Journal of Sports Medicine, ISSN 0306-3674, E-ISSN 1473-0480, Vol. 53, no 19, p. 1221-Article in journal (Refereed)
    Abstract [en]

    OBJECTIVE: To investigate the associations of muscular strength in adolescence with later disability pension (DP), across different body mass index (BMI) categories and in combination with aerobic fitness.

    METHOD: This prospective cohort study consisted of males aged 16-19 years, recruited from the Swedish military conscription register between 1969 and 1994. A total of 1 212 503 adolescents met all the inclusion criteria and were therefore included in the analyses. Knee extension, handgrip and elbow flexion strength and aerobic fitness (bicycle ergometer test) were measured during conscription. Causes of DP were retrieved from the Social Insurance Office between years 1971 and 2012 (average follow-up time: 29.6 years).

    RESULTS: Knee extension strength in adolescence was inversely associated with men's risk of obtaining DP due to all causes (HR 1.40, 95% CI 1.36 to 1.44 for lowest vs highest strength quintile). Thus, muscular weakness was associated with DP. The risk associated with low muscular strength differed between specific causes of DP and the strongest associations were found for psychiatric, nervous system and other causes (HRs between 1.47 and 1.90 for lowest vs highest quintile). Being strong was associated with lower DP risk across BMI categories and being unfit, weak and obese was associated with the highest DP risk (HR 3.70, 95% CI 2.99 to 4.58).

    CONCLUSION: There was a strong association between muscular weakness and disability. A combination of muscular weakness and low aerobic fitness was an especially important risk factor for disability. This adds weight to call for muscular strength and fitness enhancing exercise for adolescents in all BMI categories.

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  • 10. Order onlineBuy this publication >>
    Henriksson, Pontus
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Body composition of parents and their infants: methodological, anthropometric, metabolic and genetic studies2015Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Body composition in infancy may be of importance for later health. In particular, infant body composition may be relevant regarding obesity risk in childhood. Recent advances in body composition methodology using air displacement plethysmography (ADP) have provided possibilities to accurately measure body composition of infants in a quick and non-invasive manner. The aims of this thesis were to study associations of parental body composition using ADP, glucose homeostasis during pregnancy and infant genetics with infant body composition also using ADP. When using ADP in adults, a correction for the thoracic gas volume (TGV) is needed and TGV can be predicted using equations developed in nonpregnant adults. Thus another aim was to study the validity of using such equations during pregnancy.

    Parent couples were invited to this study at a routine visit to a maternity clinic in Linköping between September 2008 and October 2010. When the mother was in gestational week 32, parental body composition using ADP and maternal glucose homeostasis variables were assessed. Size and body composition of healthy, singleton and full term (≥ 37 gestational weeks) infants were measured at 1 and 12 weeks of age and a total of 211 infants  were included in the studies. Weight and length at 1 year of age were reported by parents. Saliva samples were collected from the infants to obtain DNA for genotyping of the fat mass and obesity associated (FTO) gene.

    Body composition results calculated using measured and predicted TGV were compared in 27 women. Results showed that predicted TGV yields a very marginal overestimation (0.5 %) of fat mass (FM). Further, each kg increase in maternal and paternal fat-free mass (FFM) was associated with 15.6 g (P=0.001) and 9.1 g (P=0.007), respectively, more FFM in their 1-week old infants. FM of fathers was not related to infant FM. However, maternal FM was positively associated with FM of daughters (5.8 g/kg, P=0.007), but not of sons (P=0.79) at 1 week of age. Similarly, each standard deviation increase in maternal HOMA-IR (homeostatic model assessment-insulin resistance) was related to 52.7 more g of FM (P<0.001) in 1-weekold daughters, but no such relationship was found for sons (P=0.79). The number of risk alleles at the FTO locus rs9939609 was not associated with infant body mass index (BMI) or infant FM at 1 or 12 weeks of age. However, the number of risk alleles was positively associated (P≤0.033) with infant length at 1 and 12 weeks of age, and the results suggested that this association was stronger in boys than in girls.

    The results presented in this thesis show that: i) The use of predicted TGV when applying ADP in gestational week 32 overestimated % FM only slightly. ii) Associations between parental and infant body composition are present early in life. Thus, parental FFM was positively related to FFM in 1-week-old infants. Furthermore, maternal FM and insulin resistance (HOMA-IR) were positively related to FM of 1-week-old daughters, but no such relationships were observed for sons. iii) The FTO genotype is not associated with infant body fatness at 1 or 12 weeks of age. However, the results suggested that the number of FTO risk alleles is positively associated with infant length, especially in boys.

    In conclusion, parental and genetic factors were associated with infant size and body composition and these relationships may be of importance for future body composition and health.

    List of papers
    1. Assessment and prediction of thoracic gas volume in pregnant women: an evaluation in relation to body composition assessment using air displacement plethysmography
    Open this publication in new window or tab >>Assessment and prediction of thoracic gas volume in pregnant women: an evaluation in relation to body composition assessment using air displacement plethysmography
    2013 (English)In: British Journal of Nutrition, ISSN 0007-1145, E-ISSN 1475-2662, Vol. 109, no 1, p. 111-117Article in journal (Refereed) Published
    Abstract [en]

    Assessment of body fat (BF) in pregnant women is important when investigating the relationship between maternal nutrition and offspring health. Convenient and accurate body composition methods applicable during pregnancy are therefore needed. Air displacement plethysmography, as applied in Bod Pod, represents such a method since it can assess body volume (BV) which, in combination with body weight, can be used to calculate body density and body composition. However, BV must be corrected for the thoracic gas volume (TGV) of the subject. In non-pregnant women, TGV may be predicted using equations, based on height and age. It is unknown, however, whether these equations are valid during pregnancy. Thus, we measured the TGV of women in gestational week 32 (n 27) by means of plethysmography and predicted their TGV using equations established for non-pregnant women. Body weight and BV of the women was measured using Bod Pod. Predicted TGV was significantly (P = 0.033) higher than measured TGV by 6% on average. Calculations in hypothetical women showed that this overestimation tended to be more pronounced in women with small TGV than in women with large TGV. The overestimation of TGV resulted in a small but significant (P = 0.043) overestimation of BF, equivalent to only 0.5% BF, on average. A Bland-Altman analysis showed that the limits of agreement were narrow (from -1.9 to 2.9% BF). Thus, although predicted TGV was biased and too high, the effect on BF was marginal and probably unimportant in many situations.

    Place, publisher, year, edition, pages
    Cambridge University Press (CUP), 2013
    Keywords
    Air displacement plethysmography, Body composition, Pregnancy, Thoracic gas volume
    National Category
    Medical and Health Sciences
    Identifiers
    urn:nbn:se:liu:diva-87956 (URN)10.1017/S0007114512000906 (DOI)000312998200014 ()
    Note

    Funding Agencies|Swedish Research Council|15402|FORMAS||Magnus Bergvall Foundation||Thuring Foundation||Swedish Society of Medicine||Medical Faculty, Linkoping University||County Council of Ostergotland||

    Available from: 2013-01-28 Created: 2013-01-28 Last updated: 2019-06-28
    2. Parental fat-free mass is related to the fat-free mass of infants and maternal fat mass is related to the fat mass of infant girls
    Open this publication in new window or tab >>Parental fat-free mass is related to the fat-free mass of infants and maternal fat mass is related to the fat mass of infant girls
    2015 (English)In: Acta Paediatrica, ISSN 0803-5253, E-ISSN 1651-2227, Vol. 104, no 5, p. 491-497Article in journal (Refereed) Published
    Abstract [en]

    Aim: Existing studies suggest that weight and body composition of parents influence the size and body composition of their offspring, but are often inconclusive and conducted by means of inappropriate body composition methodology. Our aim was to study infant size and body composition variables in relation to body composition variables of their mothers and fathers in a well-nourished population using an accurate methodology.

    Methods: Between 2008 and 2011, we used air displacement plethysmography to measure the body composition of 209 parent–infant units. Parents were measured when women were in gestational week 32. Their healthy, singleton, full-term infants were measured at 1 week.

    Results: Infant fat-free mass in grams was positively related (p ≤ 0.007) to the fat-free mass in kilograms of the mothers (15.6 g/kg) and the fathers (9.1 g/kg). Furthermore, the fat mass of the daughters, but not of the sons, was positively related to the fat mass of the mothers (5.8 g/kg, p = 0.007).

    Conclusion: This study found associations between the fat-free mass of parents and infants and an association between the fat mass of mothers and their infant girls. These findings may help to understand early life factors behind overweight and obesity.

    Place, publisher, year, edition, pages
    John Wiley & Sons, 2015
    Keywords
    Body composition, Father, Infant, Mother, Sex difference
    National Category
    Public Health, Global Health, Social Medicine and Epidemiology Clinical Science
    Identifiers
    urn:nbn:se:liu:diva-117430 (URN)10.1111/apa.12939 (DOI)000353643400023 ()25645821 (PubMedID)
    Available from: 2015-04-27 Created: 2015-04-27 Last updated: 2019-06-28Bibliographically approved
    3. Glucose, insulin, and the insulin-like growth factor binding protein 1 in the circulation of pregnant women in relation to their own body composition and to that of their infants
    Open this publication in new window or tab >>Glucose, insulin, and the insulin-like growth factor binding protein 1 in the circulation of pregnant women in relation to their own body composition and to that of their infants
    2015 (English)Manuscript (preprint) (Other academic)
    Abstract [en]

    Aim: Intrauterine factors influence infant size and body composition but the mechanisms involved are incompletely known. We studied relationships between the body composition of pregnant women and variables related to their glucose homeostasis, i.e. glucose, insulin, HOMA-IR (homeostasis model assessment-insulin resistance), haemoglobin A1c and IGFBP-1 (insulin-like growth factor binding protein 1), in their circulation and related these variables to the body composition of their infants.

    Methods: Body composition of 209 women in gestational week 32 and of their healthy, singleton and full-term one-week-old infants was measured using air displacement plethysmography. Glucose homeostasis variables were assessed in gestational week 32.

    Results: Insulin/HOMA-IR were positively related to body mass index, fat mass index and fat mass (r2=0.32-0.36, P<0.001) of the women. Their glucose, insulin and HOMA-IR values were positively (P≤0.009) associated, while IGFBP-1was negatively (P=0.001) associated, with infant fat mass. Insulin and HOMA-IR were positively associated with fat mass of daughters (P<0.001), but not of sons (P≥0.65) (Sex-interaction: P≤ 0.042).

    Conclusion: Glucose homeostasis variables of pregnant women are related to their own body composition and to that of their infants. The results suggested that a previously identified relationship between fat mass of mothers and daughters is mediated by insulin resistance.

    Keywords
    Body composition, infant, insulin resistance, mother, sex difference
    National Category
    Public Health, Global Health, Social Medicine and Epidemiology Clinical Science
    Identifiers
    urn:nbn:se:liu:diva-117431 (URN)
    Available from: 2015-04-27 Created: 2015-04-27 Last updated: 2019-06-28Bibliographically approved
    4. Variation in the fat mass and obesity-related (FTO) genotype is not associated with body fatness in infants, but possibly with their length
    Open this publication in new window or tab >>Variation in the fat mass and obesity-related (FTO) genotype is not associated with body fatness in infants, but possibly with their length
    2014 (English)In: Pediatric Obesity, ISSN 2047-6302, E-ISSN 2047-6310, Vol. 9, no 5, p. E112-E115Article in journal (Refereed) Published
    Abstract [en]

    BackgroundData relating variation at the fat mass and obesity-related (FTO) locus (rs9939609) to fat mass in infancy are inconclusive. ObjectiveTo study relationships between FTO genotype and infant size (at 1 and 12 weeks and at 1 year of age) and body composition (at 1 and 12 weeks). MethodsBody composition was assessed using air displacement plethysmography in 207 infants. FTO was genotyped using the TaqMan assay. ResultsThe number of risk alleles was related to length at 1 and 12 weeks (P=0.007-0.033) but not to fat mass. The relationship to length was stronger in boys than in girls. ConclusionsOur results suggest that the FTO genotype is not related during infancy to fat mass but is related to length in boys but not in girls.

    Place, publisher, year, edition, pages
    Wiley, 2014
    Keywords
    Body composition; fat mass; FTO; infant
    National Category
    Clinical Medicine
    Identifiers
    urn:nbn:se:liu:diva-112052 (URN)10.1111/ijpo.231 (DOI)000342991900009 ()24846219 (PubMedID)
    Note

    Funding Agencies|Swedish Research Council [15402]; County Council of Ostergotland

    Available from: 2014-11-17 Created: 2014-11-13 Last updated: 2021-12-28
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  • 11.
    Henriksson, Pontus
    et al.
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Eriksson, B
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Forsum, Elisabet
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Löf, Marie
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Gestational weight gain according to Institute of Medicine recommendations in relation to infant size and body composition.2015In: Pediatric Obesity, ISSN 2047-6302, E-ISSN 2047-6310, Vol. 10, no 5, p. 388-394Article in journal (Refereed)
    Abstract [en]

    BACKGROUND: Intrauterine life may be a critical period for programming childhood obesity; however, there is insufficient knowledge concerning how gestational weight gain (GWG) affects infant fat mass (FM) and fat-free mass (FFM).

    OBJECTIVES: The aim of this study was to investigate relationships between GWG according to Institute of Medicine (IOM) recommendations and infant size, FM and FFM. We also investigated if the associations were different for normal-weight and overweight/obese women.

    METHODS: This study included 312 healthy Swedish mother-infant pairs. Infant body composition at 1 week of age was assessed using air-displacement plethysmography. Maternal GWG was defined as below, within or above the 2009 IOM recommendations. Multiple regression analyses were used.

    RESULTS: Compared with women whose weight gain was within IOM recommendations, women with weight gain below the recommendations had infants that were shorter (-0.7 cm, P = 0.008) when adjusting for confounders. Normal-weight women exceeding IOM recommendations had infants with higher FM (+58 g, P = 0.008) compared with normal-weight women who gained within the recommendations. No corresponding association was observed for overweight/obese women.

    CONCLUSIONS: Inadequate GWG was associated with shorter infants, while excessive GWG was associated with greater infant FM for women who were of normal weight before pregnancy.

  • 12.
    Henriksson, Pontus
    et al.
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Karolinska Inst, Sweden; Univ Granada, Spain.
    Leppanen, Marja H.
    Univ Jyvaskyla, Finland.
    Henriksson, Hanna
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Univ Granada, Spain.
    Nystrom, Christine Delisle
    Karolinska Inst, Sweden; Childrens Hosp Eastern Ontario, Canada.
    Cadenas-Sanchez, Cristina
    Univ Granada, Spain.
    Ek, Anna
    Karolinska Inst, Sweden; Karolinska Inst, Sweden.
    Ruiz, Jonatan R.
    Karolinska Inst, Sweden; Univ Granada, Spain.
    Ortega, Francisco B.
    Karolinska Inst, Sweden; Univ Granada, Spain.
    Löf, Marie
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Karolinska Inst, Sweden.
    Physical fitness in relation to later body composition in pre-school children2019In: Journal of Science and Medicine in Sport, ISSN 1440-2440, E-ISSN 1878-1861, Vol. 22, no 5, p. 574-579Article in journal (Refereed)
    Abstract [en]

    Objectives

    Although physical fitness is considered a marker of health in youth, little is known whether physical fitness in pre-school age is related to later body composition. Thus, this study investigated (i) associations of physical fitness at 4.5 years of age with body composition 12 months later and (ii) whether improvements in physical fitness during the 12-month follow-up were associated with changes in body composition.

    Design

    This study included 142 children, measured at 4.5 and 5.5 years, from the control group of the MINISTOP trial.

    Methods

    Physical fitness (cardiorespiratory fitness, lower- and upper-body muscular strength and motor fitness) was measured using the PREFIT test battery. Body composition was assessed using air-displacement plethysmography.

    Results

    In adjusted regression analyses, greater cardiorespiratory fitness, lower-body muscular strength and motor fitness at 4.5 years were associated with a lower fat mass index at 5.5 years (standardized β= −0.182 to −0.229, p ≤ 0.028). Conversely, greater cardiorespiratory fitness, lower- and upper-body muscular strength as well as motor fitness at 4.5 years of age were associated with a higher fat-free mass index (standardized β = 0.255–0.447, p ≤ 0.001). Furthermore, improvements in cardiorespiratory fitness, lower-body muscular strength and motor fitness during the 12-month follow-up period were associated with decreases in fat mass index and/or % fat mass.

    Conclusions

    In conclusion, the results of this study provide evidence of the importance of physical fitness early in life. Nevertheless, further studies are needed in order to clarify the influence of physical fitness in the pre-school age with later health outcomes.

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  • 13.
    Henriksson, Pontus
    et al.
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Lof, M.
    Karolinska Institute, Sweden.
    Söderkvist, Peter
    Linköping University, Department of Clinical and Experimental Medicine, Division of Cell Biology. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Center for Diagnostics, Department of Clinical Pathology and Clinical Genetics.
    Forsum, Elisabet
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Variation in the fat mass and obesity-related (FTO) genotype is not associated with body fatness in infants, but possibly with their length2014In: Pediatric Obesity, ISSN 2047-6302, E-ISSN 2047-6310, Vol. 9, no 5, p. E112-E115Article in journal (Refereed)
    Abstract [en]

    BackgroundData relating variation at the fat mass and obesity-related (FTO) locus (rs9939609) to fat mass in infancy are inconclusive. ObjectiveTo study relationships between FTO genotype and infant size (at 1 and 12 weeks and at 1 year of age) and body composition (at 1 and 12 weeks). MethodsBody composition was assessed using air displacement plethysmography in 207 infants. FTO was genotyped using the TaqMan assay. ResultsThe number of risk alleles was related to length at 1 and 12 weeks (P=0.007-0.033) but not to fat mass. The relationship to length was stronger in boys than in girls. ConclusionsOur results suggest that the FTO genotype is not related during infancy to fat mass but is related to length in boys but not in girls.

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  • 14.
    Henriksson, Pontus
    et al.
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences.
    Lof, Marie
    Karolinska Institute, Sweden.
    Forsum, Elisabet
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences.
    Glucose Homeostasis Variables in Pregnancy versus Maternal and Infant Body Composition2015In: Nutrients, E-ISSN 2072-6643, Vol. 7, no 7, p. 5615-5627Article in journal (Refereed)
    Abstract [en]

    Intrauterine factors influence infant size and body composition but the mechanisms involved are to a large extent unknown. We studied relationships between the body composition of pregnant women and variables related to their glucose homeostasis, i.e., glucose, HOMA-IR (homeostasis model assessment-insulin resistance), hemoglobin A(1c) and IGFBP-1 (insulin-like growth factor binding protein-1), and related these variables to the body composition of their infants. Body composition of 209 women in gestational week 32 and of their healthy, singleton and full-term one-week-old infants was measured using air displacement plethysmography. Glucose homeostasis variables were assessed in gestational week 32. HOMA-IR was positively related to fat mass index and fat mass (r(2) = 0.32, p less than 0.001) of the women. Maternal glucose and HOMA-IR values were positively (p 0.006) associated, while IGFBP-1was negatively (p = 0.001) associated, with infant fat mass. HOMA-IR was positively associated with fat mass of daughters (p less than 0.001), but not of sons (p = 0.65) (Sex-interaction: p = 0.042). In conclusion, glucose homeostasis variables of pregnant women are related to their own body composition and to that of their infants. The results suggest that a previously identified relationship between fat mass of mothers and daughters is mediated by maternal insulin resistance.

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  • 15.
    Henriksson, Pontus
    et al.
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Löf, Marie
    Linköping University, Department of Clinical and Experimental Medicine, Nutrition. Linköping University, Faculty of Health Sciences.
    Forsum, Elisabet
    Linköping University, Department of Clinical and Experimental Medicine, Nutrition. Linköping University, Faculty of Health Sciences.
    Assessment and prediction of thoracic gas volume in pregnant women: an evaluation in relation to body composition assessment using air displacement plethysmography2013In: British Journal of Nutrition, ISSN 0007-1145, E-ISSN 1475-2662, Vol. 109, no 1, p. 111-117Article in journal (Refereed)
    Abstract [en]

    Assessment of body fat (BF) in pregnant women is important when investigating the relationship between maternal nutrition and offspring health. Convenient and accurate body composition methods applicable during pregnancy are therefore needed. Air displacement plethysmography, as applied in Bod Pod, represents such a method since it can assess body volume (BV) which, in combination with body weight, can be used to calculate body density and body composition. However, BV must be corrected for the thoracic gas volume (TGV) of the subject. In non-pregnant women, TGV may be predicted using equations, based on height and age. It is unknown, however, whether these equations are valid during pregnancy. Thus, we measured the TGV of women in gestational week 32 (n 27) by means of plethysmography and predicted their TGV using equations established for non-pregnant women. Body weight and BV of the women was measured using Bod Pod. Predicted TGV was significantly (P = 0.033) higher than measured TGV by 6% on average. Calculations in hypothetical women showed that this overestimation tended to be more pronounced in women with small TGV than in women with large TGV. The overestimation of TGV resulted in a small but significant (P = 0.043) overestimation of BF, equivalent to only 0.5% BF, on average. A Bland-Altman analysis showed that the limits of agreement were narrow (from -1.9 to 2.9% BF). Thus, although predicted TGV was biased and too high, the effect on BF was marginal and probably unimportant in many situations.

  • 16.
    Henriksson, Pontus
    et al.
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Löf, Marie
    Department of Biosciences and Nutrition, Karolinska Institute, NOVUM, Huddinge, Sweden.
    Forsum, Elisabet
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Glucose, insulin, and the insulin-like growth factor binding protein 1 in the circulation of pregnant women in relation to their own body composition and to that of their infants2015Manuscript (preprint) (Other academic)
    Abstract [en]

    Aim: Intrauterine factors influence infant size and body composition but the mechanisms involved are incompletely known. We studied relationships between the body composition of pregnant women and variables related to their glucose homeostasis, i.e. glucose, insulin, HOMA-IR (homeostasis model assessment-insulin resistance), haemoglobin A1c and IGFBP-1 (insulin-like growth factor binding protein 1), in their circulation and related these variables to the body composition of their infants.

    Methods: Body composition of 209 women in gestational week 32 and of their healthy, singleton and full-term one-week-old infants was measured using air displacement plethysmography. Glucose homeostasis variables were assessed in gestational week 32.

    Results: Insulin/HOMA-IR were positively related to body mass index, fat mass index and fat mass (r2=0.32-0.36, P<0.001) of the women. Their glucose, insulin and HOMA-IR values were positively (P≤0.009) associated, while IGFBP-1was negatively (P=0.001) associated, with infant fat mass. Insulin and HOMA-IR were positively associated with fat mass of daughters (P<0.001), but not of sons (P≥0.65) (Sex-interaction: P≤ 0.042).

    Conclusion: Glucose homeostasis variables of pregnant women are related to their own body composition and to that of their infants. The results suggested that a previously identified relationship between fat mass of mothers and daughters is mediated by insulin resistance.

  • 17.
    Henriksson, Pontus
    et al.
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Löf, Marie
    Department of Biosciences and Nutrition, Karolinska Institute, NOVUM, Huddinge, Sweden.
    Forsum, Elisabet
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Health Sciences.
    Parental fat-free mass is related to the fat-free mass of infants and maternal fat mass is related to the fat mass of infant girls2015In: Acta Paediatrica, ISSN 0803-5253, E-ISSN 1651-2227, Vol. 104, no 5, p. 491-497Article in journal (Refereed)
    Abstract [en]

    Aim: Existing studies suggest that weight and body composition of parents influence the size and body composition of their offspring, but are often inconclusive and conducted by means of inappropriate body composition methodology. Our aim was to study infant size and body composition variables in relation to body composition variables of their mothers and fathers in a well-nourished population using an accurate methodology.

    Methods: Between 2008 and 2011, we used air displacement plethysmography to measure the body composition of 209 parent–infant units. Parents were measured when women were in gestational week 32. Their healthy, singleton, full-term infants were measured at 1 week.

    Results: Infant fat-free mass in grams was positively related (p ≤ 0.007) to the fat-free mass in kilograms of the mothers (15.6 g/kg) and the fathers (9.1 g/kg). Furthermore, the fat mass of the daughters, but not of the sons, was positively related to the fat mass of the mothers (5.8 g/kg, p = 0.007).

    Conclusion: This study found associations between the fat-free mass of parents and infants and an association between the fat mass of mothers and their infant girls. These findings may help to understand early life factors behind overweight and obesity.

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  • 18.
    Herraiz-Adillo, Ángel
    et al.
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences.
    Ahlqvist, Viktor H.
    Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
    Daka, Bledar
    School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
    Wångdahl, Josefin
    Aging Research Center, Karolinska Institutet & Stockholm University, Stockholm, Sweden; Department of Public Health & Caring Sciences, Uppsala University, Uppsala, Sweden.
    Wennberg, Patrik
    Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden.
    Carlsson, Jakob
    Linköping University, Department of Health, Medicine and Caring Sciences. Linköping University, Faculty of Medicine and Health Sciences.
    Higueras-Fresnillo, Sara
    Linköping University, Department of Health, Medicine and Caring Sciences. Linköping University, Faculty of Medicine and Health Sciences. Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain.
    Lenander, Cecilia
    Department of Clinical Sciences in Malmö, Centre for Primary Health Care Research, Lund University, Lund, Sweden.
    Östgren, Carl Johan
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Prevention, Rehabilitation and Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV). Region Östergötland, Primary Care Center, Primary Health Care Center Ekholmen.
    Berglind, Daniel
    Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden; Centre for Epidemiology and Community Medicine, Region Stockholm, Stockholm, Sweden.
    Rådholm, Karin
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Prevention, Rehabilitation and Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Primary Care Center, Primary Health Care Center Kärna. The George Institute for Global Health, University of New South Wales, Sydney, Australia.
    Henriksson, Pontus
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences.
    Life’s Essential 8 in relation to self-rated health and health-related quality of life in a large population-based sample: the SCAPIS project2024In: Quality of Life Research, ISSN 0962-9343, E-ISSN 1573-2649Article in journal (Refereed)
    Abstract [en]

    Purpose To monitor cardiovascular health, in 2022, the American Heart Association (AHA) updated the construct “Life’s Simple 7” (LS7) to “Life’s Essential 8” (LE8). This study aims to analyze the associations and capacity of discrimination of LE8 and LS7 in relation to self-rated health (SRH) and health-related quality of life (HRQoL). 

    Methods This study from the Swedish CArdioPulmonary bioImage Study (SCAPIS) included 28 731 Swedish participants, aged 50–64 years. Three diferent scores were derived from the SF-12 questionnaire: 1-item question SRH (“In general, would you say your health is …?”), mental-HRQoL and physical-HRQoL. Logistic regression, restricted cubic splines, and ROC analysis were used to study the associations between the AHA scores in relation to SRH and HRQoL. 

    Results Compared to those with a LE8 score of 80, participants with a LE8 score of 40 were 14.8 times more likely to report poor SRH (OR: 14.8, 95% CI: 13.0–17.0), after adjustments. Moreover, they were more likely to report a poor mental-HRQoL (OR: 4.9, 95% CI: 4.2–5.6) and a poor physical-HRQoL (OR: 8.0, 95% CI: 7.0–9.3). Area under curves for discriminating poor SRH were 0.696 (95% CI: 0.687–0.704), 0.666 (95% CI: 0.657–0.674), and 0.643 (95% CI: 0.634–0.651) for LE8, LS7 (0–14), and LS7 (0–7), respectively, all p values <0.001 in the DeLong’s tests.

    Conclusion LE8 and LS7 had strong and inverse associations with SRH, mental-HRQoL, and physical-HRQoL, though LE8 had a somewhat higher capacity of discrimination than LS7. The novel LE8, a construct initially conceived to monitor cardiovascular health, also conveys SRH and HRQoL.

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  • 19.
    Herraiz-Adillo, Ángel
    et al.
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences.
    Higueras-Fresnillo, Sara
    Linköping University, Department of Health, Medicine and Caring Sciences. Linköping University, Faculty of Medicine and Health Sciences. Department of Preventive Medicine and Public Health, Universidad Autónoma de Madrid, Madrid, Spain.
    Ahlqvist, Viktor H.
    Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden.
    Berglind, Daniel
    Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden; Centre for Epidemiology and Community Medicine, Region Stockholm, SE-10431, Stockholm, Sweden .
    Syrjälä, Maria B.
    Department of Public Health and Clinical Medicine, Family Medicine, Umeå University, Umeå, Sweden.
    Daka, Bledar
    School of Public Health and Community Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
    Lenander, Cecilia
    Department for Clinical Sciences in Malmö, Centre for Primary Health Care Research, Lund University, Lund, Sweden.
    Sundström, Johan
    Clinical Epidemiology Unit, Department of Medical Sciences, Uppsala University, Sweden; The George Institute for Global Health, University of New South Wales, Sydney, Australia .
    Ortega, Francisco B.
    Department of Physical Education and Sports, Faculty of Sport Sciences, Sport and Health University Research Institute (iMUDS), University of Granada, Granada, Spain; Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland; CIBER de Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Granada, Spain.
    Östgren, Carl Johan
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Prevention, Rehabilitation and Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV). Region Östergötland, Primary Care Center, Primary Health Care Center Ekholmen.
    Rådholm, Karin
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Prevention, Rehabilitation and Community Medicine. Linköping University, Faculty of Medicine and Health Sciences. Region Östergötland, Primary Care Center, Primary Health Care Center Kärna. The George Institute for Global Health, University of New South Wales, Sydney, Australia.
    Henriksson, Pontus
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences.
    Life’s Essential 8 and Life’s Simple 7 in Relation to Coronary Atherosclerosis: Results From the Population-Based SCAPIS Project2024In: Mayo Clinic proceedings, ISSN 0025-6196, E-ISSN 1942-5546, Vol. 99, no 1, p. 69-80Article in journal (Refereed)
    Abstract [en]

    Objective: To examine the associations between the AmericanHeart Association scores (“Life’s Essential 8” [LE8] and “Life’s Simple 7” [LS7])and 2 subclinical coronary atherosclerosis indicators: coronary computed tomographic angiography (CCTA)-stenosis and coronary artery calcium (CAC).

    Patients and Methods:We includedapopulation-basedsample, aged 50 to 64 years, recruited between 2013 and 2018 from the Swedish Cardiopulmonary Bioimage Study (n¼24,819,50.3%women). CCTA-stenosis was graded as no stenosis, stenosis (1%-49%) or severe stenosis ( 50%), whereas CAC was graded as 0,1 to 99, 100 to 399, or 400 Agatston units. Multinomial logistic regression and receiver operating characteristic (ROC) curves were used to study the associations between cardiovascular health scores and subclinical coronary atherosclerosis.

    Results: Odds ratios (ORs) for CCTA-stenosis and severe CCTA-stenosis between the lowest (<50 points) vs the highest ( 80points) LE8 group were 4.18 (95% CI,3.56 to 4.91) and 11.17 (95% CI, 8.36 to 14.93), respectively. For corresponding CAC results, ORs were 3.36 (95% CI, 2.84 to 3.98), 7.72 (95% CI, 6.03 to 9.89), and 14.94 (95%CI, 10.47 to 21.31) for CAC scores of 1 to 99, 100 to 399, and 400, respectively. Area under ROC curves for predicting anystenosis were 0.642 (95% CI, 0.635 to 0.649) and 0.631 (95% CI, 0.624 to 0.638, P<.001) for LE8 and LS7, respectively.

    Conclusion: Our data indicate that LE8 showed a strong, graded, and inverse association with CCTA-stenosis and CAC score. The capacity to predict CCTA-stenosis was comparable between LE8 and LS7, although LE8 had slightly higher prediction capacity of any stenosis. This study provides novel evidence that the LE8 score may be a useful tool for monitoring cardiovascular health.

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  • 20.
    Leppanen, Marja H.
    et al.
    Univ Jyvaskyla, Finland; Karolinska Inst, Sweden.
    Migueles, Jairo H.
    Univ Granada, Spain.
    Cadenas-Sanchez, Cristina
    Univ Granada, Spain.
    Henriksson, Pontus
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences. Karolinska Inst, Sweden.
    Mora-Gonzalez, Jose
    Univ Granada, Spain.
    Henriksson, Hanna
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences.
    Labayen, Idoia
    Univ Publ Navarra, Spain.
    Löf, Marie
    Linköping University, Department of Health, Medicine and Caring Sciences, Division of Society and Health. Linköping University, Faculty of Medicine and Health Sciences. Karolinska Inst, Sweden.
    Esteban-Cornejo, Irene
    Univ Granada, Spain; Northeastern Univ, MA 02115 USA.
    Ortega, Francisco B.
    Univ Granada, Spain.
    Hip and wrist accelerometers showed consistent associations with fitness and fatness in children aged 8-12 years2020In: Acta Paediatrica, ISSN 0803-5253, E-ISSN 1651-2227, Vol. 109, no 5, p. 995-1003Article in journal (Refereed)
    Abstract [en]

    Aim Physical activity (PA) has traditionally been measured wearing accelerometers on the hip, but they are increasingly being worn on the wrist. We compared hip and wrist accelerometers with regard to their acceptability and any associations between PA and fatness and fitness. Methods This cross-sectional study comprised 103 children aged 8-12 years (62% boys) who participated in the ActiveBrains trial by the University of Granada, Spain, in 2014-2016. The children wore both ActiGraph GT3X+ hip and wrist accelerometers round the clock for 7 days. The acceptability of both placements was evaluated by a questionnaire, while the childrens fat mass index, waist circumference and cardiorespiratory fitness (CRF) were assessed. Results Wearing wrist accelerometers caused less disturbance, mainly because hip accelerometers caused more issues during the night. The measurements from both placements showed that lower PA levels were associated with fatness and that higher PA levels were associated with better CRF. Conclusion Both placements showed consistent results with regard to measuring associations between PA levels and fatness and fitness. However, wearing them on the wrist caused less discomfort at night. Future studies are needed to confirm the best placement for accelerometers during PA studies.

  • 21.
    Leppänen, M. H.
    et al.
    University of Jyvaskyla, Finland.
    Delisle Nyström, C.
    Karolinska Institute, Sweden.
    Henriksson, Pontus
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences. University of Granada, Spain.
    Pomeroy, J.
    Marshfield Clin Research Fdn, WI USA.
    Ruiz, J. R.
    University of Granada, Spain.
    Ortega, F. B.
    University of Granada, Spain.
    Cadenas-Sanchez, C.
    University of Granada, Spain.
    Löf, Marie
    Linköping University, Department of Clinical and Experimental Medicine, Division of Clinical Sciences. Linköping University, Faculty of Medicine and Health Sciences. Karolinska Institute, Sweden.
    Physical activity intensity, sedentary behavior, body composition and physical fitness in 4-year-old children: results from the ministop trial2016In: International Journal of Obesity, ISSN 0307-0565, E-ISSN 1476-5497, Vol. 40, no 7, p. 1126-1133Article in journal (Refereed)
    Abstract [en]

    BACKGROUND: Existing knowledge on associations of physical activity (PA) and sedentary behavior (SB) with body composition and physical fitness in preschoolers is limited. OBJECTIVE: To examine associations of PA and SB with body composition and physical fitness in healthy Swedish 4-year-old children. METHODS: We utilized baseline data collected in 2014 for the population-based MINISTOP trial (n = 307). Light-intensity PA (LPA), moderate-intensity PA (MPA), vigorous-intensity PA (VPA), moderate-to-vigorous PA (MVPA) and SB were measured using accelerometry (ActiGraph-wGT3x-BT). Body composition was measured using air-displacement plethysmography, and physical fitness (that is, cardiorespiratory fitness, lower and upper body muscular strength and motor fitness) was measured using the PREFIT fitness test battery. Multiple linear regression models adjusted for relevant confounders, and in addition, isotemporal substitution models were applied. RESULTS: Greater MVPA was associated with lower fat mass percent (%FM, P = 0.015), and greater VPA and MVPA were associated with higher fat-free mass index (FFMI, P = 0.002 and P = 0.011). In addition, greater VPA and MVPA were associated with higher scores for all physical fitness tests (P = 0.042 to Pamp;lt;0.001). The results for MVPA were primarily due to VPA. SB was associated with weaker handgrip strength (P = 0.031) when PA was not adjusted, but after adjusting also for VPA, the significant association disappeared (P = 0.25). Substituting 5 min per day of SB, LPA or MPA with 5 min per day of VPA was associated with higher FFMI and better scores for cardiorespiratory fitness and motor fitness. Correspondingly, substituting 5 min per day of VPA with SB or LPA was associated with weaker performance for lower muscular strength. CONCLUSIONS: Time spent on VPA was associated with higher FFMI and better physical fitness. The results suggest that promoting VPA may be important to improve childhood body composition and physical fitness already at an early age.

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