scholarly journals Leisure-Time Physical Activity in Pregnancy and the Birth Weight Distribution: Where Is the Effect?

2012 ◽  
Vol 9 (8) ◽  
pp. 1168-1177 ◽  
Author(s):  
Lanay M. Mudd ◽  
Jim Pivarnik ◽  
Claudia B. Holzman ◽  
Nigel Paneth ◽  
Karin Pfeiffer ◽  
...  
Keyword(s):  
Physical Activity ◽  
Birth Weight ◽  
Quantile Regression ◽  
Gestational Age ◽  
Weight Distribution ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Large For Gestational Age ◽  
Birth Weight Distribution

Background:Leisure-time physical activity (LTPA) is recommended during pregnancy and has been associated with lower risk of delivering a large infant. We sought to characterize the effect of LTPA across the entire birth weight distribution.Methods:Women enrolled in the Pregnancy Outcomes and Community Health (POUCH) Study (1998–2004) were followed-up in 2007. Follow-up efforts were extensive for a subcohort and minimal for the remainder (nonsubcohort). Thus, 596 subcohort and 418 nonsubcohort women who delivered at term participated. Offspring were categorized as small-, appropriate-, or large-for-gestational-age (SGA, AGA, and LGA, respectively) based on gender and gestational age-specific birth weight z-scores (BWz). At follow-up, women recalled pregnancy LTPA and were classified as inactive, insufficiently active or meeting LTPA recommendations. Linear, logistic, and quantile regression analyses were conducted separately by subcohort status.Results:Meeting LTPA recommendations decreased odds of LGA significantly among the nonsubcohort (aOR = 0.30, 95% CI: 0.14–0.64) and nonsignificantly among the subcohort (aOR = 0.68, 95% CI: 0.34–1.34). In quantile regression, meeting LTPA recommendations reduced BWz among the upper quantiles in the nonsubcohort.Conclusions:LTPA during pregnancy lowered odds of LGA and reduced BWz among the upper quantiles, without shifting the entire distribution. LTPA during pregnancy may be useful for reducing risks of large fetal size.

Leisure-time Physical Activity During Pregnancy And The Birth Weight Distribution: Where Is The Effect?

2010 ◽  
Vol 42 ◽  
pp. 76
Author(s):  
Lanay M. Mudd ◽  
James M. Pivarnik ◽  
Claudia Holzman ◽  
Karin A. Pfeiffer ◽  
Nigel Paneth ◽  
...  
Keyword(s):  
Physical Activity ◽  
Birth Weight ◽  
Weight Distribution ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Birth Weight Distribution

MODELLING THE RISK FACTORS FOR BIRTH WEIGHT IN TWIN GESTATIONS: A QUANTILE REGRESSION APPROACH

2017 ◽  
Vol 49 (6) ◽  
pp. 744-756 ◽  
Author(s):  
A. John Michael ◽  
Belavendra Antonisamy ◽  
S. Mahasampath Gowri ◽  
Ramasami Prakash
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Low Birth Weight ◽  
Quantile Regression ◽  
Gestational Age ◽  
Weight Distribution ◽  
Ordinary Least Squares ◽  
Child Growth ◽  
Birth Weight Distribution ◽  
Different Parts

SummaryBirth weight is used as a proxy for the general health condition of newborns. Low birth weight leads to adverse events and its effects on child growth are both short- and long-term. Low birth weight babies are more common in twin gestations. The aim of this study was to assess the effects of maternal and socio-demographic risk factors at various quantiles of the birth weight distribution for twin gestations using quantile regression, a robust semi-parametric technique. Birth records of multiple pregnancies from between 1991 and 2005 were identified retrospectively from the birth registry of the Christian Medical College and hospitals in Vellore, India. A total of 1304 twin pregnancies were included in the analysis. Demographic and clinical characteristics of the mothers were analysed. The mean gestational age of the twins was 36 weeks with 51% having preterm labour. As expected, the examined risk factors showed different effects at different parts of the birth weight distribution. Gestational age, chroniocity, gravida and child’s sex had significant effects in all quantiles. Interestingly, mother’s age had no significant effect at any part of the birth weight distribution, but both maternal and paternal education had huge impacts in the lower quantiles (10thand 25th), which were underestimated by the ordinary least squares (OLS) estimates. The study shows that quantile regression is a useful method for risk factor analysis and the exploration of the differential effects of covariates on an outcome, and exposes how OLS estimates underestimate and overestimate the effects of risk factors at different parts of the birth weight distribution.

scholarly journals Leisure time physical activity in a 22-year follow-up among Finnish adults

2012 ◽  
Vol 9 (1) ◽  
pp. 121 ◽  
Author(s):  
Katja Borodulin ◽  
Tomi E Mäkinen ◽  
Päivi Leino-Arjas ◽  
Tuija H Tammelin ◽  
Markku Heliövaara ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity

scholarly journals Excess Body Mass and Leisure Time Physical Activity in the Incidence and Persistence of Chronic Pain

Pain Medicine ◽  
2020 ◽  
Vol 21 (11) ◽  
pp. 3094-3101
Author(s):  
Rahman Shiri ◽  
Tea Lallukka ◽  
Ossi Rahkonen ◽  
Päivi Leino-Arjas
Keyword(s):  
Physical Activity ◽  
Chronic Pain ◽  
Body Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
The Body ◽  
Health Study ◽  
Highly Active ◽  
The City

Abstract Objective To estimate the effects of excess body mass and leisure time physical activity on the incidence and persistence of chronic pain. Design A prospective cohort study. Methods As a part of the Finnish Helsinki Health Study, we included three cohorts of employees of the City of Helsinki (18,562 observations) and defined incident chronic pain as having pain in any part of the body for more than three months at follow-up in participants without chronic pain at baseline (N = 13,029 observations). Persistent chronic pain was defined as having pain for more than three months at both baseline and follow-up (N = 5,533 observations). Results Overweight (adjusted odds ratio [OR] = 1.18, 95% confidence interval [CI] = 1.06–1.31) and obesity (OR = 1.65, 95% CI = 1.45–1.88) increased the incidence of chronic pain. Moreover, overweight (OR = 1.16, 95% CI = 1.02–1.32) and obesity (OR = 1.48, 95% CI = 1.26–1.74) increased the risk of persistent chronic pain. Vigorous leisure time physical activity reduced the incidence of chronic pain (OR = 0.85, 95% CI = 0.75–0.96). Physical activity did not influence the risk of persistent chronic pain. Furthermore, overweight/obesity modified the effect of leisure time physical activity on incident chronic pain. Inactive overweight or obese participants were at the highest risk of chronic pain (OR = 1.71, 95% CI = 1.40–2.09), while the OR dropped to 1.44 (95% CI = 1.19–1.75) in moderately active overweight or obese participants and to 1.20 (95% CI = 0.97–1.47) in highly active overweight or obese participants. Conclusions Obesity not only increases the risk of developing chronic pain, but also increases the risk of persistent pain, while leisure time physical activity reduces the risk of developing chronic pain.

scholarly journals Longitudinal changes in body composition and waist circumference by self-reported levels of physical activity in leisure among adolescents: the Tromsø study, Fit Futures

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Nils Abel Aars ◽  
Bjarne K. Jacobsen ◽  
Bente Morseth ◽  
Nina Emaus ◽  
Sameline Grimsgaard
Keyword(s):  
Physical Activity ◽  
Body Composition ◽  
Waist Circumference ◽  
Fat Mass ◽  
Lean Mass ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
First Year ◽  
Fat Mass Index

Abstract Background It is not clear how physical activity affects body composition in adolescents. Physical activity levels are often reduced during this period, and the relative proportion of body fat mass and lean mass undergo natural changes in growing adolescents. We aimed to examine whether self-reported physical activity in leisure time at baseline or change in activity during follow-up affect changes in four measures of body composition; body mass index (kg/m2), waist circumference, fat mass index (fat mass in kg/m2) and lean mass index (lean mass in kg/m2). Methods We used data from the Tromsø Study Fit Futures, which invited all first year students in upper secondary high school in two municipalities in northern Norway in 2010–2011. They were reexamined in 2012–2013. Longitudinal data was available for 292 boys and 354 girls. We used multiple linear regression analyses to assess whether self-reported level of physical activity in leisure time at baseline predicted changes in body composition, and analysis of covariance to assess the effects of change in level of activity during follow-up on change in body composition. All analyses were performed sex-specific, and a p-value of < 0.05 was considered statistically significant. Results There were no associations between self-reported leisure time physical activity in the first year of upper secondary high school and changes in any of the considered measure of body composition after 2 years of follow up, with the exception of waist circumference in boys (p = 0.05). In boys, change in fat mass index differed significantly between groups of activity change (p < 0.01), with boys adopting activity or remaining physically active having less increase in fat mass index than the consistently inactive. In girls, change in lean mass index differed significantly between groups of activity change (p = 0.04), with girls adopting physical activity having the highest increase. Conclusions Self-reported leisure time physical activity does not predict changes in body composition in adolescents after 2 years of follow up. Change in the level of physical activity is associated with change in fat mass index in boys and lean mass index in girls.

Leisure-Time Physical Activity During Pregnancy and Offspring Size at 18 to 24 Months

2011 ◽  
Vol 8 (5) ◽  
pp. 655-662 ◽  
Author(s):  
Kelly Mattran ◽  
Lanay M. Mudd ◽  
Rebecca A. Rudey ◽  
Jeannette S.C. Kelly
Keyword(s):  
Physical Activity ◽  
Body Fat ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Late Pregnancy ◽  
Offspring Size ◽  
Maternal Body Mass Index ◽  
Third Trimester ◽  
Z Scores

Background:Leisure-time physical activity (LTPA) during pregnancy has maternal benefits, but effects on offspring have not often been considered. This study aimed to determine associations among trimester-specific LTPA during pregnancy and toddler size.Methods:Women (n = 300) were recruited while pregnant in 2006. At follow-up (2008), women reported demographics; recalled type, duration, and frequency of trimester-specific LTPA (MET·min/wk); and rated their toddler’s current LTPA level (more, same, or less than others their age). A subset (n = 23) volunteered to have maternal and toddler height, weight, and body fat measured. Maternal body mass index (BMI) and toddler weight-for-height z-scores (WHZ) were calculated.Results:Median toddler WHZ was 0.6 (range −0.5 to 2.9). In Spearman correlations, third trimester LTPA was marginally associated with lower toddler weight (rs = −0.39, P = .06) and WHZ (rs = −0.40, P = .06), but no other measures of maternal LTPA and toddler body size were related. Birth weight z-score was positively associated with toddler weight (rs = 0.51, P = .01) but negatively associated with percent body fat (rs= −0.46, P = .03). Measures of maternal size were unassociated with toddler size.Conclusions:These results provide preliminary support for LTPA during late pregnancy to have a lasting effect on offspring size.

Changes in Leisure-Time Physical Activity and Subsequent Sickness Absence Due to Any Cause, Musculoskeletal, and Mental Causes

2016 ◽  
Vol 13 (8) ◽  
pp. 867-873 ◽  
Author(s):  
Ansku Holstila ◽  
Ossi Rahkonen ◽  
Eero Lahelma ◽  
Jouni Lahti
Keyword(s):  
Physical Activity ◽  
Sickness Absence ◽  
Social Insurance ◽  
Leisure Time ◽  
Negative Binomial ◽  
Response Rate ◽  
Leisure Time Physical Activity ◽  
Activity Level ◽  
Middle Aged

Background:The association between changes in physical activity and sickness absence is poorly understood. The aim of this study was to examine the association between changes in leisure-time physical activity and long-term sickness absence due to any cause and musculoskeletal and mental causes.Methods:We measured physical activity at baseline in 2000–2002 (response rate 67%) and at follow-up in 2007 (response rate 83%) among middle-aged employees of the City of Helsinki, Finland. The survey data were linked to the Finnish Social Insurance Institute’s register data on sickness benefit periods > 9 days, including diagnoses (ICD-10; International Statistical Classification of Diseases and Related Health Problems, 10th revision) (mean follow-up 2.3 years). We used a negative binomial model to calculate rate ratios. The analyses included 4010 respondents (81% women).Results:Those who were persistently vigorously active and those whose physical activity level changed from low to moderate or vigorous, from moderate to vigorous, or from vigorous to moderate were at lower risk for sickness absence than were the persistently low-activity group. For sickness absence due to musculoskeletal causes, vigorous activity showed stronger associations, whereas mental causes showed no such associations.Conclusions:To reduce sickness absence due to both musculoskeletal and mental causes, middle-aged and aging employees should be encouraged to engage in physical activity.

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