PurposeThe Lifelines Reproductive Origins of Adult Health and Disease (Lifelines-ROAHD) cohort provides a uniquely detailed dataset allowing investigations of determinants of reproductive health as ...well as the influence of reproductive events on future health and disease of mother and child(ren). Lifelines-ROAHD cohort is embedded in the population-based Lifelines cohort study.ParticipantsIn total, 5412 women of reproductive age (20–45 years) were included in the Lifelines-ROAHD cohort, in the period 2017–2018.Findings to dateIn the population, 45.6% of the women indicated that they had a natural menstrual cycle. In total, 908 women (16.8%) consulted a healthcare provider for infertility; subsequently diagnosed fertility problems were anovulation (24.4%), male partner infertility problems (22.5%) or unexplained infertility (22.2%). Women underwent various consecutive assisted reproductive treatments, for example, ovulation induction (19.8%) or in vitro fertilisation (5.4%). In total, 2808 women experienced 6158 pregnancies and 5068 births. Adverse pregnancy outcomes were miscarriage (14.3%), ectopic pregnancy (0.9%) or termination of pregnancy or medical abortion (2.0 %). The modes of delivery were vaginal births (74.9%), instrumental vaginal births (11.9%), elective caesarean section (3.9%) and emergency caesarean section (9.3%). Birth outcomes were born alive at term (93.6%), born alive (very) pre-term (5.8%), stillbirth (0.316%) and neonatal death (0.197%). Additional data about 2660 most recent pregnancies showed that 19.9% of the women had irregular working hours. One year postpartum, women indicated adverse physical health issues in one or more domains, range 0.5%–12.5%. They also indicated adverse psychological health issues in one or more domains, range 0.7%–1.6%, and 1.6% experienced diminished sexual health.Future plansDue to the embedding of Lifelines-ROAHD cohort in the original Lifelines cohort, the women will be longitudinally followed. Additionally, we aim to collect data with a second online questionnaire aiming to complete women’s reproductive histories, by collecting data about potential first and subsequent pregnancies conceived after the date of completion of baseline Lifelines-ROAHD cohort.
Physical activity (PA) is important in combating childhood obesity. Parents, and thus parental PA, could influence PA in young children. We examined whether the time spent at different intensities of ...PA and the type of parental PA are associated with the PA of children aged 4-7 years, and whether the associations between child-parent pairs were sex-specific.
All the participants were recruited from the Groningen Expert Center for Kids with Obesity (GECKO) birth cohort (babies born between 1 April 2006 and 1 April 2007 in Drenthe province, the Netherlands) and were aged 4-7 years during measurement. PA in children was measured using the ActiGraph GT3X (worn at least 3 days, ≥10 h per day). PA in parents was assessed using the validated SQUASH questionnaire.
Of the N = 1146 children with valid ActiGraph data and 838 mothers and 814 fathers with valid questionnaire data, 623 child-parent pairs with complete data were analysed. More leisure time PA in mothers was associated with more time spent in moderate-to-vigorous PA (MVPA) in children (Spearman r = 0.079, P < .05). Maternal PA was significantly related to PA in girls, but not boys. More time spent in maternal vigorous PA, in sports activity, and leisure time PA, were all related to higher MVPA in girls (Spearman r = 0.159, r = 0.133 and r = 0.127 respectively, P
< .05). In fathers, PA levels were predominantly related to PA in sons. High MVPA in fathers was also related to high MVPA in sons (r = 0.132, P < 0.5). Spending more time in light PA was related to more sedentary time and less time in MVPA in sons.
Higher PA in mothers, for instance in leisure activities, is related to higher PA in daughters, and more active fathers are related to more active sons. To support PA in young children, interventions could focus on the PA of the parent of the same sex as the child. Special attention may be needed for families where the parents have sedentary jobs, as children from these families seem to adopt more sedentary behaviour.
Summary Objective To assess whether waist-to-height-ratio (WHtR) is a better estimate of body fat percentage (BF%) and a better indicator of cardiometabolic risk factors than BMI or waist ...circumference (WC) in young children. Methods WHtR, WC and BMI were measured by trained staff according to standardized procedures.2 H2 O and2 H218 O isotope dilution were used to assess BF% in 61 children (3–7 years) from the general population, and bioelectrical impedance (Horlick equation) was used to assess BF% in 75 overweight/obese children (3–5 years). Cardiometabolic risk factors, including diastolic and systolic blood pressure, HOMA2-IR, leptin, adiponectin, triglycerides, total cholesterol, HDL- and LDL-cholesterol, TNFα and IL-6 were determined in the overweight/obese children. Results In the children from the general population, after adjustments for age and gender, BMI had the highest explained variance for BF% compared to WC and WHtR ( R2 = 0.32, 0.31 and 0.23, respectively). In the overweight/obese children, BMI and WC had a higher explained variance for BF% compared to WHtR ( R2 = 0.68, 0.70 and 0.50, respectively). In the overweight/obese children, WHtR, WC and BMI were all significantly positively correlated with systolic blood pressure ( r = 0.23, 0.30, 0.36, respectively), HOMA2-IR ( r = 0.53, 0.62, 0.63, respectively), leptin ( r = 0.70, 0.77, 0.78, respectively) and triglycerides ( r = 0.33, 0.36, 0.24, respectively), but not consistently with other parameters. Conclusion In young children, WHtR is not superior to WC or BMI in estimating BF%, nor is WHtR better correlated with cardiometabolic risk factors than WC or BMI in overweight/obese children. These data do not support the use of WHtR in young children.
Diversity in the reported prevalence of metabolically healthy obesity (MHO), suggests that modifiable factors may be at play. We evaluated differences in dietary patterns and physical activity ...between MHO and metabolically unhealthy obesity (MUO).
Cross-sectional data of 9270 obese individuals (30-69 years) of the Lifelines Cohort Study was used. MHO was defined as obesity and no metabolic syndrome risk factors and no cardiovascular disease history. MUO was defined as obesity and ≥2 metabolic syndrome risk factors. Sex-specific associations of dietary patterns (identified by principal component analysis) and physical activity with MHO were assessed by multivariable logistic regression (reference group: MUO). Analyses were adjusted for multiple covariates.
Among 3442 men and 5828 women, 10.2% and 24.4% had MHO and 56.9% and 35.3% MUO, respectively. We generated four obesity-specific dietary patterns. Two were related to MHO, and in women only. In the highest quartile (Q) of 'bread, potatoes and sweet snacks' pattern, odds ratio (OR) (95% CI) for MHO was 0.52 (0.39-0.70). For the healthier pattern 'fruit, vegetables and fish', an OR of 1.36 (1.09-1.71) in Q3 and 1.55 (1.21-1.97) in Q4 was found for MHO. For physical activity, there was a positive association between moderate physical activity and vigorous physical activity in the highest tertile and MHO in women and men, respectively (OR 1.19 (1.01-1.41) and OR 2.02 (1.50-2.71)).
The healthier diet -characterized by 'fruit, vegetables and fish'- and moderate physical activity in women, and vigorous physical activity in men may be related to MHO. The (refined) carbohydrate-rich 'bread, potatoes and sweet snacks' dietary pattern was found to counteract MHO in women.
Lack of physical activity is a growing problem in China, due to the fast economic development and changing living environment over the past two decades. The aim of this review is to summarize the ...factors related to physical activity in Chinese children and adolescents during this distinct period of development.
A systematic search was finished on Jan 10
, 2017, and identified 2200 hits through PubMed and Web of Science. English-language published studies were included if they reported statistical associations between factors and physical activity. Adapted criteria from the Strengthening The Reporting of OBservational studies in Epidemiology (STROBE) statement and evaluation of the quality of prognosis studies in systematic reviews (QUIPS) were used to assess the risk of bias of the included studies. Related factors that were reported in at least three studies were summarized separately for children and adolescents using a semi-quantitative method.
Forty two papers (published 2002-2016) were included. Most designs were cross-sectional (79%), and most studies used questionnaires to assess physical activity. Sample size was above 1000 in 18 papers (43%). Thirty seven studies (88%) showed acceptable quality by methodological quality assessment. Most studies reported a low level of physical activity. Boys were consistently more active than girls, the parental physical activity was positively associated with children and adolescents' physical activity, children in suburban/rural regions showed less activity than in urban regions, and, specifically in adolescents, self-efficacy was positively associated with physical activity. Family socioeconomic status and parental education were not associated with physical activity in children and adolescents.
The studies included in this review were large but mostly of low quality in terms of study design (cross-sectional) and methods (questionnaires). Parental physical activity and self-efficacy are promising targets for future physical activity promotion programmes. The low level of physical activity raises concern, especially in suburban/rural regions. Future research is required to enhance our understanding of other influences, such as the physical environment, especially in early childhood.
BACKGROUND: Parental behavior can influence the development of overweight in children. The aim of this study is to examine whether parental BMI and parental physical activity are associated with BMI, ...waist circumference and physical activity in young children. METHODS: In 3–4 year old children, weight, height and waist circumference were measured. Children’s physical activity was measured in a subgroup (n = 299) using a tri-axial activity monitor, TracmorD. Data are represented as activity counts per minute (total physical activity) and as percentage of time in sedentary, light, moderate and vigorous intensity physical activity (generated from a subsample of Actigraph data using cut points from Butte et al.). Parental weight and height were self-reported and parental physical activity was assessed by the validated questionnaire SQUASH. RESULTS: In total 1554 children (age 3.9 ± 0.1 years, BMI 15.8 ± 1.3 kg/m2 and waist circumference 52.4 ± 3.5 cm) were included. Eleven percent were overweight or obese. A higher maternal BMI was related to higher levels of children’s sedentary activity (r = 0.120, p = 0.04 and to lower levels of children’s total and moderate physical activity (r = −0.158, p = 0.007 and r = −0.154, p = 0.008, respectively). Parental BMI was positively correlated with children’s BMI and waist circumference (r = 0.20–0.27, p < 0.001). Higher maternal total physical activity levels were not related to children’s total physical activity level, but were related to higher levels of children’s moderate and vigorous physical activity (ρ = 0.132, p = 0.046 and ρ = 0.132, p = 0.046, respectively). No correlations between total, moderate or vigorous physical activity levels of the parents with the child’s BMI or waist circumference were found. Looking at physical activity domains maternal physical activity in active commuting, either walking or biking, showed a negative correlation with BMI of the child (ρ = −0.062, p = 0.042). CONCLUSIONS: Higher maternal BMI and lower maternal physical activity levels were related to lower levels of children’s physical activity. More active commuting by the mother and a lower parental BMI were related to a lower BMI of the children. Energy-balance related behavior of the parents may contribute to a healthier BMI of both preschool children and their parents.
Abstract Background The LifeLines Cohort Study is a large three-generation prospective study and Biobank. Recruitment and data collection started in 2006 and follow-up is planned for 30 years. The ...central aim of LifeLines is to understand healthy ageing in the 21st century. Here, the study design, methods, baseline and major cardiovascular phenotypes of the LifeLines Cohort Study are presented. Methods and Results Baseline cardiovascular phenotypes were defined in 9700 juvenile (8–18 year) and 152,180 adult (≥ 18 years) participants. Cardiovascular disease (CVD) was defined using ICD-10 criteria. At least one cardiovascular risk factor was present in 73% of the adult participants. The prevalence, adjusted for the Dutch population, was determined for risk factors (hypertension (33%), hypercholesterolemia (19%), diabetes (4%), overweight (56%), and current smoking (19%)) and CVD (myocardial infarction (1.8%), heart failure (1.0%), and atrial fibrillation (1.3%)). Overall CVD prevalence increased with age from 9% in participants < 65 years to 28% in participants ≥ 65 years. Of the participants with hypertension, hypercholesterolemia and diabetes, respectively 75%, 96% and 41% did not receive preventive pharmacotherapy. Conclusions The contemporary LifeLines Cohort Study provides researchers with unique and novel opportunities to study environmental, phenotypic, and genetic risk factors for CVD and is expected to improve our knowledge on healthy ageing. In this contemporary Western cohort we identified a remarkable high percentage of untreated CVD risk factors suggesting not all opportunities to reduce the CVD burden are utilised.
In this study, we investigated the interplay between screen time, sleep duration, outdoor play, having a television in the bedroom and the number of televisions at home and their association with ...body mass index (BMI) in preschool children. All participants, 3–4 years of age (
n
= 759), were part of the Groningen expert center for kids with obesity (GECKO) Drenthe birth cohort. Weight and height were measured. Total screen time, number of televisions at home, a television in the bedroom, sleep duration and time of outdoor play were self-reported by parents in a questionnaire. Ordinary least square (OLS) regression-based path analysis was used to estimate direct and indirect effects on BMI in mediation models. A television in the bedroom or more televisions at home gave a higher screen time, which were associated with decreased sleep duration and resulted in higher BMI (indirect effect = 0.0115, 95 % bootstrap interval = 0.0016; 0.0368 and indirect effect = 0.0026, 95 % bootstrap interval = 0.0004; 0.0078, respectively). In contrast to the direct effect of screen time, sleep duration and a television in the bedroom on BMI, no direct effect was found for outdoor play and number or televisions at home on BMI.
Conclusions
: Short sleep duration, long screen time and a television in the bedroom were associated with the presence of overweight in preschool children.
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