Maternal Physical Activity During Pregnancy, Child Leisure-Time Activity, and Child Weight Status at 3 to 9 Years

2015 ◽  
Vol 12 (4) ◽  
pp. 506-514 ◽  
Author(s):  
Lanay M. Mudd ◽  
Jim M. Pivarnik ◽  
Karin A. Pfeiffer ◽  
Nigel Paneth ◽  
Hwan Chung ◽  
...  
Keyword(s):  
Physical Activity ◽  
Weight Status ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Child Obesity ◽  
Health Study ◽  
Healthy Weight ◽  
Time Activity ◽  
Child Weight ◽  
Child Height

Background:We sought to evaluate the effects of maternal leisure-time physical activity (LTPA) during pregnancy and current child LTPA on child weight status.Methods:Women with term pregnancies in the Pregnancy Outcomes and Community Health Study (1998–2004) were followed-up. A race-stratified subset of participants (cohort A) received extensive follow-up efforts leading to better response rates (592/926 = 64%) and diversity. The remainder (Cohort B) had a lower response rate (418/1629 = 26%). Women reported child height, weight and LTPA at 3 to 9 years (inactive vs. active), and recalled pregnancy LTPA (inactive vs. active). A 4-category maternal/child LTPA variable was created (reference: active pregnancy + active child). Children were classified as healthy weight, overweight, or obese using age- and sex-specific Body Mass Index percentiles. Logistic regression was used to assess the odds of child obesity (reference: healthy weight).Results:In unadjusted analyses, pregnancy inactivity increased odds for obesity when the child was active (1.6 [95% CI, 1.0−2.6] in Cohort A; 2.1 [95% CI, 1.1−4.0] in Cohort B), and more so when the child was inactive (2.4 [95% CI, 1.2−4.9] in Cohort A; 3.0 [95% CI, 1.0−8.8] in Cohort B). Adjustment for covariates attenuated results to statistical nonsignificance but the direction of relations remained.Conclusions:Maternal inactivity during pregnancy may contribute to child obesity risk.

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 Association between leisure-time physical activity and the risk of chronic diseases

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
A Dedele ◽  
A Miskinyte
Keyword(s):  
Physical Activity ◽  
Chronic Diseases ◽  
High Intensity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Adult Population ◽  
World Health ◽  
Health Study ◽  
Moderate Intensity ◽  
The Impact

Abstract Background According to the World Health Organization, non-communicable diseases or chronic diseases, account for 71 percent of all deaths globally, affecting individuals of all age groups and countries. Epidemiological studies have shown an association between a lack of physical activity (PA) and the risk of raised blood pressure, increased body mass index and obesity that can lead to chronic diseases. Methods The aim of the study was to assess the relationship between leisure-time PA and the risk of chronic diseases among adult population. We conducted a cross-sectional study of 470 men and 641 women who participated in “The Impact of Sustainable Mobility, Physical Activity and Environmental Factors on Urban Population Health Study (ISMA)” in Lithuania. Leisure-time PA was self-reported and divided into three levels: low, moderate and high. Logistic regression was used to estimate adjusted odds ratios (ORs) of chronic diseases according to leisure-time PA. Results More than half (55%) of the study population engaged in a moderate intensity PA and 12% of participants engaged in a high intensity leisure-time PA. Men 1.6 times more often than women reported engaging in a high intensity PA in leisure time (p = 0.004). Adults who engaged in low intensity leisure-time PA had almost 3 times (OR = 2.91; 95% confidence interval (CI) 1.62-5.24) higher risk of chronic diseases, whereas those adults who reported moderate intensity leisure-time PA had an OR of 1.63 (95% CI 0.92-2.87) compared to individuals who engaged in a high-level PA. Conclusions Our findings suggest that high levels of leisure-time PA could reduce the risk of chronic diseases and this effect was significantly stronger in men. Key messages Global decline in PA is related to inaction during leisure time and sedentary behaviour at work and at home that has a major health impact worldwide. High levels of leisure-time PA are important factor for chronic disease prevention.

scholarly journals Burden of prediabetes, undiagnosed, and poorly or potentially sub-controlled diabetes: Lolland-Falster health study

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Neda Esmailzadeh Bruun-Rasmussen ◽  
George Napolitano ◽  
Allan Kofoed-Enevoldsen ◽  
Stig Egil Bojesen ◽  
Christina Ellervik ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Adult Population ◽  
Health Perception ◽  
Poor Health ◽  
Undiagnosed Diabetes ◽  
Health Study ◽  
Related Condition ◽  
Cross Sectional

Abstract Background This study aimed to investigate prevalence and risk factors for prediabetes, undiagnosed diabetes mellitus, poorly and potentially sub-controlled diabetes in a rural-provincial general adult population in Denmark. Methods Using cross-sectional data from the Lolland-Falster Health Study, we examined a total of 10,895 individuals aged 20 years and above. Results Prevalence of prediabetes was 5.8% (men: 6.1%; women: 5.5%); of undiagnosed diabetes 0.8% (men: 1.0%; women: 0.5%); of poorly controlled diabetes 1.2% (men: 1.5%; women: 0.8%); and of potentially sub-controlled diabetes 2% (men: 3.0%; women: 1.3%). In total, 9.8% of all participants had a diabetes-related condition in need of intervention; men at a higher risk than women; RR 1.41 (95% CI 1.26–1.58); person aged + 60 years more than younger; RR 2.66 (95% CI 2.34–3.01); obese more than normal weight person, RR 4.51 (95% CI 3.79–5.38); smokers more than non-smokers, RR 1.38 (95% CI 1.19–1.62); persons with self-reported poor health perception more than those with good, RR 2.59 (95% CI 2.13–3.15); low leisure time physical activity more than those with high, RR 2.64 (95% CI 2.17–3.22); and persons with self-reported hypertension more than those without, RR 3.28 (95% CI 2.93–3.68). Conclusions In the Lolland-Falster Health Study, nearly 10% of participants had prediabetes, undiagnosed diabetes, poorly controlled, or potentially sub-controlled diabetes. The risk of these conditions was more than doubled in persons with self-reported poor health perception, self-reported hypertension, low leisure time physical activity, or measured obesity, and a large proportion of people with diabetes-related conditions in need of intervention can therefore be identified relatively easily.

How Do Different Occupational Factors Influence Total, Occupational, and Leisure-Time Physical Activity?

2015 ◽  
Vol 12 (2) ◽  
pp. 200-207 ◽  
Author(s):  
Corneel Vandelanotte ◽  
Camille Short ◽  
Matthew Rockloff ◽  
Lee Di Millia ◽  
Kevin Ronan ◽  
...  
Keyword(s):  
Physical Activity ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Total Physical Activity ◽  
Activity Levels ◽  
Full Time ◽  
Cross Sectional ◽  
Time Activity ◽  
Physical Activity Levels ◽  
The Impact

Background:A better understanding of how occupational indicators influence physical activity levels will aid the design of workplace interventions.Methods:Cross-sectional data were collected from 1194 participants through a telephone interview in Queensland, Australia. The IPAQ-long was used to measure physical activity. Multiple logistic regression was applied to examine associations.Results:Of participants, 77.9% were employed full-time, 32.3% had professional jobs, 35.7% were engaged in shift work, 39.5% had physically-demanding jobs, and 66.1% had high physical activity levels. Participants with a physicallydemanding job were less likely to have low total (OR = 0.25, 95% CI = 0.17 to 0.38) and occupational (OR = 0.17, 95% CI = 0.12 to 0.25) physical activity. Technical and trade workers were less likely to report low total physical activity (OR = 0.44, 95% CI = 0.20 to 0.97) compared with white-collar workers. Part-time (OR = 1.74, 95% CI = 1.15 to 2.64) and shift workers (OR = 1.86, 95% CI = 1.21 to 2.88) were more likely to report low leisure-time activity.Conclusions:Overall, the impact of different occupational indicators on physical activity was not strong. As expected, the greatest proportion of total physical activity was derived from occupational physical activity. No evidence was found for compensation effects whereby physically-demanding occupations lead to less leisure-time physical activity or vice versa. This study demonstrates that workplaces are important settings to intervene, and that there is scope to increase leisure-time physical activity irrespective of occupational background.

scholarly journals A longitudinal study of physical activity and menstrual cycle characteristics in healthy Norwegian women – The Nord-Trøndelag Health Study

2011 ◽  
Vol 20 (2) ◽  
Author(s):  
Sigridur Lara Gudmundsdottir ◽  
William Dana Flanders ◽  
Liv Berit Augestad
Keyword(s):  
Physical Activity ◽  
Psychological Health ◽  
Cycle Length ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Median Number ◽  
Health Study ◽  
Normal Cycle ◽  
Menstrual Dysfunction ◽  
Menstrual Function

<strong><em>Background</em>:</strong> Long menstrual cycles have been associated with anovulation, infertility and spontaneous abortion. Elite athletes have been found at risk of menstrual dysfunction. We evaluated the longitudinal association between leisure time physical activity (LTPA) and menstrual function in healthy non-athletic women.<br /><em><strong>Methods:</strong></em> A population-based health survey (HUNT 1) was conducted during 1984-1986 in Nord-Trøndelag county, Norway, with follow-up in 1995-1997 (HUNT 2). The current study included 3,097 women, &lt;45 years old in HUNT 2. LTPA was assessed by questionnaire in HUNT 1, and menstrual function by questionnaire in HUNT 2. Data focused on overall occurrence of menstrual disorders in the population. Results were adjusted<br />for age, education, psychological health, smoking and alcohol intake. Additional analyses included BMI as a potential confounder.<br /><strong><em>Results</em>: </strong>The median cycle length was 30 days and median number of days bleeding was 5. In women with normal cycle length, mean (SD) cycle length and duration of bleeding was 29.3 (2.8) and 5.6 (1.7) respectively. Cycle length increased with higher frequency of LTPA for women &gt;25 years old. Women, 20-25 years old at baseline who were active most days had increased odds of short cycles, more bleeding days and increased odds of having irregular cycles, OR=4.7; 95% CI = 1.2-18.0). Number of bleeding days decreased with longer duration (p&lt;0.05) and higher intensity (p=0.065) in young women. Adjustment for BMI did not affect the results.<br /><strong><em>Conclusion</em>:</strong> Leisure time physical activity may affect menstrual function, although in our study, the results were modified by age

scholarly journals The joint effect of insomnia symptoms and lifestyle factors on risk of self-reported fibromyalgia in women: longitudinal data from the HUNT Study

BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e028684 ◽  
Author(s):  
Eivind Schjelderup Skarpsno ◽  
Tom Ivar Lund Nilsen ◽  
Trond Sand ◽  
Knut Hagen ◽  
Paul Jarle Mork
Keyword(s):  
Physical Activity ◽  
Longitudinal Data ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Health Study ◽  
Adult Women ◽  
Adjusted Risk ◽  
Incident Cases ◽  
Insomnia Symptoms

ObjectivesTo investigate the association between insomnia symptoms and risk of self-reported fibromyalgia in women, and to explore whether leisure time physical activity and body mass index (BMI) modify this association.DesignProspective cohort study.SettingWe used longitudinal data from the Norwegian Nord-Trøndelag Health Study collected in 1995–1997 (baseline) and 2006–2008 (follow-up).ParticipantsA total of 14 172 women who reported to be free from fibromyalgia at baseline.Primary outcome measuresWe estimated adjusted risk ratios (RRs) with 95% CI for self-reported fibromyalgia at follow-up associated with baseline insomnia symptoms, leisure time physical activity and BMI.ResultsOverall, 466 incident cases of fibromyalgia were reported during the follow-up period of approximately 11 years, corresponding to a crude absolute risk (AR) of 3.3%. Compared with women without insomnia symptoms (crude AR=2.8%), women who reported one, two or three symptoms had RRs of fibromyalgia of 1.39 (95% CI: 1.08 to 1.80), 1.86 (95% CI: 1.33 to 2.59) and 2.66 (95% CI: 1.75 to 4.06), respectively. Compared with highly physically active women without insomnia symptoms (crude AR=2.7%), women with one or more insomnia symptoms had a RR of fibromyalgia of 1.90 (95% CI: 1.30 to 2.79) if they reported low physical activity and a RR of 1.55 (95% CI: 1.12 to 2.13) if they reported high physical activity. We found no synergistic effect between insomnia symptoms and BMI on risk of fibromyalgia; however, overweight and obese women with one or more insomnia symptoms had RRs of 2.35 (95% CI: 1.73 to 3.21) and 2.18 (95% CI: 1.42 to 3.35) compared with the reference group of normal weight women without insomnia symptoms (crude AR=2.3%).ConclusionsInsomnia symptoms are strongly and positively associated with risk of fibromyalgia in adult women. Leisure time physical activity may compensate for some of the adverse effect of insomnia symptoms on risk of fibromyalgia.

Abstract P157: Does Physical Activity Modify the Association of 15 Well-established Obesity Loci with BMI: The ARIC Study

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Kristin L Young ◽  
Keri L Monda ◽  
Ellen W Demerath ◽  
W.H. Linda Kao ◽  
Eric Boerwinkle ◽  
...  
Keyword(s):  
Physical Activity ◽  
Multiple Testing ◽  
Leisure Time ◽  
Risk Allele ◽  
Genetic Model ◽  
Leisure Time Physical Activity ◽  
P Value ◽  
Effect Estimate ◽  
Time Activity ◽  
Aric Study

This study investigates gene-by-physical activity interaction with 15 well-replicated body mass index (BMI) loci in the Atherosclerosis Risk in Communities (ARIC) Study, a prospective, multi-center, bi-racial population-based cohort of adults (N=15,792 at baseline (1987-1989), aged 45-64). Our analyses were restricted to subjects of self-reported European descent with complete genotype and phenotype data (n=8059, 53% female, mean age 54.3 (SD 5.7)). BMI was computed from measured height and weight. Physical activity (PA) was measured using a modified validated Baecke questionnaire, resulting in an ordinal score ranging from 1.00-10.00 for sport and leisure-time activity. Physical activity was dichotomized at the sex-specific median for high/low PA, with high PA as the referent. BMI was regressed on single nucleotide polymorphism (SNP), PA level, SNP*PA level, and study-specific covariates assuming an additive genetic model. To account for multiple testing, interaction p-values less than 0.006 (0.10/15) were considered statistically significant. Mean BMI was 27.0 (SD 4.8) kg/m2, and sports and leisure time physical activity was 5.00 (SD 1.13, range 1.75-9.25) units. We replicated the main effects of SNP on BMI for FTO (rs9939609, p=8.52E-11) and SEC16B/RASAL2 (rs10913469, p=0.001), and NEGR1 was borderline significant (rs2815752, p=0.006). MAF was the only SNP that displayed a directionally inconsistent effect estimate with earlier findings (Beta: -0.02, SE -0.16, 0.13). Four of the interactions had a p-value <0.1, including SEC16B, PTER, NEGR1, and SH2B1. The largest magnitude effect estimates among the nominally significant interactions were observed for SNPs rs10913469 (locus SEC16B/RASAL2, frequency: 0.2024) and rs10508503 (locus PTER, frequency: 0.0871). For rs10913469, each additional copy of the risk allele resulted in an increased BMI of 0.58 kg/m2 for those in the low PA category, but an increase of only 0.07 kg/m2 for those in the high PA category (p-interaction=0.007). For rs10508503, each additional copy of the risk allele resulted in an increased BMI of 0.51 kg/m2 for those in the low PA category, and a decreased BMI of 0.14 kg/m2 for those in the high PA category (p-interaction=0.013). Mean BMIs for those in the low physical activity category increase with additional copies of the C (risk) allele (mean BMI for TT=25.6, TC=27.2, CC=27.6 kg/m2, p=0.04), while mean BMIs of those with high PA do not differ between genotypes (mean BMI for TT=26.7, TC=26.8, CC=26.6 kg/m2, p=0.51). While we found a significant main effect of the SEC16B/RASAL2 SNP on BMI (p=0.001), for the PTER SNP we did not (p=0.229). These novel findings demonstrate the importance of context specific genetic effects and contribute to the growing literature highlighting the possible importance of physical activity in the attenuation of underlying genetic risk.

Abstract P139: Do Your Income and Occupation Affect Your Leisure Time Physical Activity? Evidence from NHANES 1999-2006

Circulation ◽  
2013 ◽  
Vol 127 (suppl_12) ◽  
Author(s):  
Lisa Kakinami ◽  
Tracie Barnett ◽  
Lise Gauvin ◽  
Gilles Paradis
Keyword(s):  
Physical Activity ◽  
Weight Status ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Daily Life ◽  
Activity Levels ◽  
Lower Income ◽  
Annual Household Income ◽  
Sampling Weights ◽  
Individual Level

Background: Over ¾ of Americans fail to meet the AHA recommendations for leisure time physical activity (LTPA), with higher proportions found among lower income adults. However, this association may be moderated by activity levels that are necessary as a part of daily life, such as active transportation among those that cannot afford a vehicle, or physical labor in some lower wage-earning occupations. Data are limited to studies either not distinguishing between occupational and daily life PA, or using broad occupation job titles which may not represent the PA on an individual level. Objective: Determine the association between activity levels of daily life and LTPA. Methods: Participants were adults (20+ years) from the 1999-2006 National Health and Nutrition Examination Survey. Analyses were stratified by self-reported lifestyle (work, housework and school): 1) sedentary during the day (n=4233); 2) minimally active: stands or walks but does not carry or lift things often (n=11,853); 3) moderately active: carries light objects, or climbs hills often (n=4117); and 4) and very active: carries heavy objects (n=1586). Multivariable linear regression analyzed the association between annual household income (<$20K, $20K-45K, $45K-75K, $75K+ [reference]) and self-reported weekly minutes of moderate, vigorous, and total LTPA. Analyses included sampling weights to account for NHANES’ complex sampling design and adjusted for sex, age, marital status, ethnicity, weight status, whether the person actively commuted, and number of hours worked per week. Results: Lower income participants that were either very active, or sedentary during the day reported significantly less LTPA than those with comparable daily life activity levels but annual income $75K+. Conclusions: A gradient relationship between income and LTPA was seen in the two lifestyle extremes: the sedentary and very active. Public health actions aimed at increasing LTPA should be multimodal and aimed at changing both messaging and environments likely to promote LTPA.

scholarly journals Physical activity and common mental disorders

2010 ◽  
Vol 197 (5) ◽  
pp. 357-364 ◽  
Author(s):  
Samuel B. Harvey ◽  
Matthew Hotopf ◽  
Simon Øverland ◽  
Arnstein Mykletun
Keyword(s):  
Physical Activity ◽  
Mental Disorders ◽  
Social Engagement ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Common Mental Disorders ◽  
Depression Scale ◽  
Cross Sectional ◽  
Time Activity ◽  
Symptoms Of Depression

BackgroundPrevious studies have suggested that physical activity may have antidepressant and/or anti-anxiety effects.AimsTo examine the bidirectional relationship between physical activity and common mental disorders and establish the importance of context, type and intensity of activity undertaken.MethodA clinical examination of 40 401 residents of Norway was undertaken. Participants answered questions relating to the frequency and intensity of both leisure-time and workplace activity. Depression and anxiety were measured using the Hospital Anxiety and Depression Scale (HADS). Biological and social data were also collected.ResultsThere was an inverse relationship between the amount of leisure-time physical activity and case-level symptoms of depression. This cross-sectional association was only present with leisure-time (as opposed to workplace) activity and was not dependent on the intensity of activities undertaken. Higher levels of social support and social engagement were important in explaining the relationship between leisure activity and depression. Biological changes such as alterations to parasympathetic vagal tone (resting pulse) and changes to metabolic markers had a less important role.ConclusionsIndividuals who engage in regular leisure-time activity of any intensity are less likely to have symptoms of depression. The context and social benefits of exercise are important in explaining this relationship.

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