ABSTRACT
Movement behaviors within the 24-h day, including physical activity (PA), sedentary time, and sleep, are associated with cardiometabolic health. We aimed to determine the association between 24-h movement composition and cardiometabolic health while accounting for sleep efficiency. Altogether, 1134 participants from the Northern Finland Birth Cohort 1986 study, free from prior cardiovascular disease, provided at least 4 days of 24-h activity and sleep efficiency measured with a wearable ring. Participants' body composition was assessed with bioimpedance, blood pressure, and waist circumference were measured, and lipids and glucose were analyzed from a fasting blood sample. Linear regression models for cardiometabolic outcomes were created with 24-h movement composition and covariates, including sleep efficiency and behavioral and socioeconomic factors. Isotemporal time reallocations were used to demonstrate the dose-dependent associations between time use and outcomes. Beneficial associations with the outcomes were detected when sedentary time was reallocated to light PA, moderate-to-vigorous PA (MVPA), or sleep. For example, substituting 30 min of sedentary time with MVPA was associated with 7.2% (95% CI from -9.8% to -4.5%) lower visceral fat area, 4.9% (95% CI from -6.5% to -3.3%) lower body fat percentage, 1.6% (95% CI from -2.3% to -0.9%) smaller waist circumference, and 2.4% (95% CI from 1.2% to 3.5%) higher high-density lipoprotein (HDL) cholesterol after accounting for gender, marital status, education level, employment, smoking, alcohol consumption, and sleep efficiency. Substituting sedentary time with sleep or light PA showed beneficial but smaller differences in adiposity measures and HDL cholesterol. Limiting sedentary time should be encouraged in adulthood.
Subject(s)
Body Composition , Exercise , Sedentary Behavior , Sleep , Waist Circumference , Wearable Electronic Devices , Humans , Exercise/physiology , Male , Female , Finland , Sleep/physiology , Adult , Middle Aged , Blood Pressure/physiology , Blood Glucose/analysis , Cardiometabolic Risk FactorsABSTRACT
Recent studies have suggested that adverse outcomes of postterm birth (≥42 completed weeks of gestation), including increased cardiometabolic risk factors, impaired glucose metabolism, and obesity, may extend into adulthood. We studied interconnected determinants of cardiovascular health, including physical activity (based on accelerometry for two weeks), muscular strength (handgrip strength), cardiorespiratory fitness (4-min step test), and cardiac autonomic function (heart rate recovery, heart rate variability, and baroreflex sensitivity) among 46-year-old adults from the Northern Finland Birth Cohort (NFBC) born postterm (n = 805) and at term (n = 2,645). Adults born postterm undertook vigorous-intensity physical activity 2.0 min/day (95% CI 0.4, 3.7) less than term-born adults when adjusted for sex, age, and maternal- and pregnancy-related covariates in multiple linear regression. Postterm birth was associated with reduced cardiorespiratory fitness based on a higher peak heart rate (2.1 bpm, 95% CI 0.9, 3.4) and slower heart rate recovery 30 s after the step test (-0.7 bpm, 95% CI -1.3, -0.1). Postterm birth was associated with lower vigorous-intensity physical activity and cardiorespiratory fitness and slower heart rate recovery in middle age. Our findings reinforce previous suggestions that postterm birth should be included as a perinatal risk factor for adult cardiometabolic disease.
ABSTRACT
PURPOSE: Accelerometers are used to objectively measure physical activity; however, the relationship between accelerometer-based activity parameters and bone health is not well understood. This study examines the association between accelerometer-estimated daily activity impact intensities and future risk estimates of major osteoporotic fractures in a large population-based cohort. METHODS: Participants were 3165 adults 46 years of age from the Northern Finland Birth Cohort 1966 who agreed to wear a hip-worn accelerometer during all waking hours for 14 consecutive days. Raw accelerometer data were converted to resultant acceleration. Impact magnitude peaks were extracted and divided into 32 intensity bands, and the osteogenic index (OI) was calculated to assess the osteogenic effectiveness of various activities. Additionally, the impact peaks were categorized into three separate impact intensity categories (low, medium, and high). The 10-year probabilities of hip and all major osteoporotic fractures were estimated with FRAX-tool using clinical and questionnaire data in combination with body mass index collected at the age of 46 years. The associations of daily activity impact intensities with 10-year fracture probabilities were examined using three statistical approaches: multiple linear regression, partial correlation, and partial least squares (PLS) regression. RESULTS: On average, participants' various levels of impact were 8331 (SD = 3478) low; 2032 (1248) medium; and 1295 (1468) high impacts per day. All three statistical approaches found a significant positive association between the daily number of low-intensity impacts and 10-year probability of hip and all major osteoporotic fractures. In contrast, increased number of moderate to very high daily activity impacts was associated with a lower probability of future osteoporotic fractures. A higher OI was also associated with a lower probability of future major osteoporotic fractures. CONCLUSION: Low-intensity impacts might not be sufficient for reducing fracture risk in middle-aged adults, while high-intensity impacts could be beneficial for preventing major osteoporotic fractures.
Subject(s)
Accelerometry , Osteoporotic Fractures , Humans , Osteoporotic Fractures/epidemiology , Osteoporotic Fractures/physiopathology , Middle Aged , Female , Male , Finland/epidemiology , Activities of Daily Living , Exercise/physiology , Risk Assessment/methods , Probability , Cohort Studies , Hip Fractures/epidemiology , Hip Fractures/physiopathologyABSTRACT
OBJECTIVES: This study focused on how adolescents' perceptions of coaches' health promotion activity predict maintained participation and dropout in organized sports in emerging adulthood. In addition, differences in lifestyle habits between maintainers, dropouts, and nonparticipants in organized sports were explored. MATERIALS AND METHODS: Overall, 616 adolescents reported organized sports participation in the Finnish Health Promoting Sports Club (FHPSC) study at ages 15 and 19. Of these, 323 reported coach's health promotion activity on health topics at the age of 15. An index of a coach's general health promotion activity was formed. At age 19, all study participants reported their lifestyle habits. RESULTS: Among males, those who had perceived coaches' general health promotion activity as frequent were more likely to be maintainers than dropouts (48.6% vs. 20.0%) (p = .002). Among females, there was no significant difference (32.0% vs. 28.4%). Logistic regression analysis adjusted for gender showed that perceiving coach's general health promotion activity as frequent increased the odds of being a maintainer rather than a dropout. Moreover, maintainers had higher odds of having healthy lifestyle habits when compared to nonparticipants (related to physical activity; sleep; fruit and vegetable consumption; and cigarette use) or dropouts (related to physical activity; and cigarette use). In addition, dropouts had higher odds of having healthy lifestyle habits than nonparticipants (related to sleep; and cigarette use). CONCLUSIONS: Perceiving coaches' health promotion activity as frequent was related to maintained participation in organized sports among males. Maintainers were more likely to have more healthy lifestyle habits than nonparticipants and dropouts. There is a need to invest in coaches' health promotion activity when it is infrequent. A more detailed understanding is needed of coaches' health promotion activity that supports both maintained participation in sports, especially among females, and healthy lifestyle habits in emerging adulthood.
There is a need to invest in coaches' health promotion activity when it is infrequent in order to support adolescents' continued participation in organized sports and healthy lifestyle habits in emerging adulthood.
Subject(s)
Health Promotion , Life Style , Sports , Humans , Male , Female , Health Promotion/methods , Adolescent , Young Adult , Sports/statistics & numerical data , Finland , Follow-Up Studies , Exercise , Healthy Lifestyle , Health BehaviorABSTRACT
This study explored sports-related factors predicting organized sports participation in emerging adulthood. In the Finnish Health Promoting Sports Club (FHPSC) study, 354 sports club participants aged 15 at baseline reported their main sport, onset age, training volume, current competitive level, and future competitive orientation and participated in the follow-up study at age 19. There were differences in the proportions of maintainers and dropouts in a few sports: football (maintainers 58.6%), and among females, skating (maintainers 60.7%), and swimming (dropouts 80.0%). A binary logistic regression analysis showed that those who had started their main sport by school age (females OR 3.05/95% CI 1.34, 6.98; males OR 3.97/95% CI 1.48, 10.64) and had competed at national top level plus had aimed at success at the adult level competitions in future (females OR 3.42/95% CI 1.16, 10.09; males OR 3.58/95% CI 1.12, 11.41; among females, also had competed at national top level plus had aimed at success at junior level competitions [OR 3.42/95% CI 1.20, 9.78]) were more likely maintainers than dropouts. Early onset in the main sport and competitiveness were related to maintained sports participation while the opposites were related to dropouts in the current organized sports system.
Subject(s)
Football , Male , Adult , Female , Humans , Young Adult , Follow-Up Studies , Swimming , SchoolsABSTRACT
PURPOSE: This population-based study examines the associations between physical activity (PA), residential environmental greenness, and cardiac health measured by resting short-term heart rate variability (HRV). METHODS: Residential greenness of a birth cohort sample (n = 5433) at 46 years was measured with normalized difference vegetation index (NDVI) by fixing a 1 km buffer around each participant's home. Daily light PA (LPA), moderate PA (MPA), vigorous PA (VPA), and the combination of both (MVPA) were measured using a wrist-worn accelerometer for 14 days. Resting HRV was measured with a heart rate monitor, and generalized additive modeling (GAM) was used to examine the association between PA, NDVI, and resting HRV. RESULTS: In nongreen areas, men had less PA at all intensity levels compared to men in green areas. Women had more LPA and total PA and less MPA, MVPA, and VPA in green residential areas compared to nongreen areas. In green residential areas, men had more MPA, MVPA, and VPA than women, whereas women had more LPA than men. GAM showed positive linear associations between LPA, MVPA and HRV in all models. CONCLUSIONS: Higher LPA and MVPA were significantly associated with increased HRV, irrespective of residential greenness. Greenness was positively associated with PA at all intensity levels in men, whereas in women, a positive association was found for LPA and total PA. A positive relationship of PA with resting HRV and greenness with PA was found. Residential greenness for promoting PA and heart health in adults should be considered in city planning.
Subject(s)
Autonomic Nervous System , Exercise , Male , Adult , Humans , Female , Exercise/physiology , Cardiovascular Physiological PhenomenaABSTRACT
The association between lifestyle and cardiac structure and function measures, such as global longitudinal strain and diastolic function in a healthy midlife general population, is not well known. A subpopulation of the Northern Finland Birth Cohort 1966 took part in follow-up, including echocardiography (n = 1,155) at the age of 46. All antihypertensive medication users (n = 164), patients with diabetes (n = 70), subjects with any cardiac diseases (n = 24), and subjects with echocardiography abnormalities (n = 21) were excluded. Moderate to vigorous physical activity (MVPA) was recorded with a wrist-worn accelerometer over 14 days and categorized into high, moderate, and low MVPA groups. Similarly, alcohol consumption was categorized as low, moderate, and high-dose users of alcohol and smoking as nonsmokers, former, and current smokers. The total number of healthy subjects included in the study was 715 (44% males). Left ventricular mass index and left atrial end-systolic volume index were significantly higher in the high MVPA group compared with the low MVPA group (adjusted main effect p = 0.002 and p <0.001, respectively). Cardiac function did not differ among the physical activity groups. High alcohol consumption was associated with impaired global longitudinal strain and diastolic function (adjusted main effect p = 0.002 and p = 0.004, respectively) but not with any cardiac structure variables. Smoking was not associated with cardiac structure or function. In healthy middle-aged adults, MVPA was independently associated with structural changes in the heart but not with cardiac function. High alcohol consumption was associated with impaired modern cardiac function measures but not with cardiac structure.
Subject(s)
Diabetes Mellitus , Heart , Adult , Male , Middle Aged , Humans , Female , Heart/diagnostic imaging , Echocardiography , Alcohol Drinking/epidemiology , Life StyleABSTRACT
BACKGROUND: Due to rapid urbanization, there is a need to better understand the relative roles of residential environment and physical activity in depression. We aimed to investigate whether neighbourhood characteristics are related to the presence of depressive symptoms and whether the association is modified by physical activity. METHODS: This cross-sectional study used the 46-year-old follow-up data (n = 5489) from the Northern Finland Birth Cohort 1966. Data on depressive symptoms, measured by Beck Depression Inventory-II, and self-reported and accelerometer-measured physical activity were included. Neighbourhood characteristics, population density, distance to the closest grocery store, bus stops and cycle/pedestrian paths, distance to the nearest parks and forests, residential greenness and level of urbanicity were calculated using Geographic Information System methods based on participants' home coordinates. RESULTS: According to ordinal logistic regression analyses adjusted for physical activity at different intensities and individual covariates, living in a neighbourhood with higher population density and urbanicity level were associated with a higher risk of experiencing more severe depressive symptoms. Higher residential greenness was associated with a lower risk of experiencing more severe depressive symptoms after adjustment for self-reported light and moderate-to-vigorous physical activity, accelerometer-measured moderate-to-vigorous physical activity and individual covariates. Both higher self-reported and accelerometer-measured physical activity were independently associated with a lower risk of more severe depressive symptoms. CONCLUSIONS: Both residential environment and physical activity behaviour play an important role in depressive symptoms; however, further research among populations of different ages is required. Our findings can be utilized when designing interventions for the prevention of depression.
Subject(s)
Birth Cohort , Depression , Humans , Middle Aged , Depression/epidemiology , Cross-Sectional Studies , Finland/epidemiology , Exercise , Residence Characteristics , Neighborhood CharacteristicsABSTRACT
AIM: The aim of the study was to describe the level, types and determinants of leisure time PA and exercise among children with type 1 diabetes and their parents. METHODS: One hundred twenty children aged 6-18 years with type 1 diabetes and 113 parents (n = 113) participated to this questionnaire-based study at Northern Ostrobothnia District Hospital in Oulu, western Finland. All participants gave informed consent before entering this study. RESULTS: Twenty-three per cent of the children exercised briskly for at least 7 h a week which corresponds to 60 min per day. The total PA occasions children had with a parent accounted for the children's total number of PA occasions in a week (ß = 0.83, 95% CI 0.20-1.47) and total weekly hours of PA (ß = 0.90, 95% CI 0.07-1.73). There was a positive association between total weekly hours of brisk PA and HbA1 c (ß = 0.65, 95% CI 0.02-0.13), while there was no such association with light PA (ß = 0.42, 95% CI -0.04-0.87). Laziness, fear of unexpected glycaemic variability and tiredness were the most frequent barriers to PA in children. CONCLUSION: Most of the children with type 1 diabetes did not reach generally recommended 60 min of brisk PA a day. Exercising with a parent was positively associated with children's weekly frequency and total hours of PA.
Subject(s)
Diabetes Mellitus, Type 1 , Exercise , Child , Humans , Cross-Sectional Studies , Sedentary Behavior , ParentsABSTRACT
BACKGROUND: The decline in physical activity (PA) during adolescence is well-established. However, while some subgroups of adolescents follow the general pattern of decreased activity, others increase or maintain high or low activity. The correlates and determinants of different PA patterns may vary, offering valuable information for targeted health promotion. This study aimed to examine how psychosocial factors, health behaviours, and PA domains are associated with longitudinal PA patterns from adolescence to young adulthood. METHODS: This prospective study encompassed 254 participants measured at mean ages 15 and 19. Device-measured moderate-to-vigorous PA was grouped into five patterns (activity maintainers, inactivity maintainers, decreasers from moderate to low PA, decreasers from high to moderate PA, increasers) via a data-driven method, K-Means for longitudinal data. Multinomial logistic regression was used to analyse the associations between health behaviours, psychosocial factors, PA domains, and different PA patterns. RESULTS: A lack of sports club participation characterised inactivity maintainers throughout adolescence. Difficulties in communicating with one's father at age 15 were associated with higher odds of belonging to inactivity maintainers and to decreasers from moderate to low PA. Lower fruit and vegetable consumption at age 19 was also related to increased odds of belonging to the groups of inactivity maintainers and decreasers from moderate to low PA. Smoking at age 19 was associated with being a decreaser from moderate to low PA. CONCLUSIONS: Diverse factors characterise longitudinal PA patterns over the transition to young adulthood. Sports club participation contributes to maintained PA. Moreover, a father-adolescent relationship that supports open communication may be one determinant for sustained PA during adolescence. A healthier diet and non-smoking as a young adult are associated with more favourable PA development.
Subject(s)
Exercise , Sports , Young Adult , Adolescent , Humans , Adult , Cohort Studies , Prospective Studies , Exercise/psychology , Health Behavior , Longitudinal StudiesABSTRACT
BACKGROUND: Although sports clubs' potential for health promotion is acknowledged, research on whether they promote healthy eating is limited. We aimed to evaluate Finnish youth sports clubs' health promotion orientation, as well as associations between sports clubs' health promotion orientation, coaches' nutritional discussions and sports club participants' (SPs') fruit and/or vegetable consumption. METHODS: The cross-sectional study included 554 SPs aged 14-16 years, 275 club officials and 311 coaches. Participants replied to questionnaires about sports clubs' health promotion and their own health behaviours, including dietary habits. Health promotion orientation was estimated using a Health Promoting Sports Club (HPSC) index (range 0-22) and nutritional discussions and fruit and/or vegetable consumption as frequencies. A mixed-effects multivariable logistic regression was used to analyse the associations. RESULTS: Most sports clubs (69%) had a high health promotion orientation, but the variation between the clubs was wide (HPSC index range 5-21). SPs' daily fruit and/or vegetable consumption was associated with female gender [odds ratio (OR) 3.48, 95% confidence interval (CI) 2.23-5.42, P < 0.001], better self-rated health (OR 3.26, 95% CI 1.13-9.41, P = 0.03), higher average school grades (OR 1.67, 95% CI 1.04-2.67, P = 0.03), and SPs' responses that their coach had often discussed nutrition (OR 2.11, 95% CI 1.41-3.14, P < 0.001). CONCLUSION: Although sports clubs' orientation towards health promotion was mostly high, it seems not to be enough to promote healthy eating among adolescent participants. Instead, coaches' nutritional discussions were associated with adolescents' fruit and/or vegetable consumption.
Subject(s)
Sports , Vegetables , Humans , Adolescent , Female , Fruit , Cross-Sectional Studies , Health PromotionABSTRACT
This study investigated the association between physical activity (PA) and midlife income. The population-based data comprised employed members of the Northern Finland Birth Cohort 1966 (N = 2797). Using binned scatterplots and polynomial regressions, we evaluated the association between accelerometer-measured moderate PA (MPA), vigorous PA (VPA), and moderate-to-vigorous PA (MVPA) at 46 years old and register-based income at 50 years old. The models were adjusted for sex, marital status, number of children, education, adolescent PA, occupational physical strenuousness, and time preference. We found MPA (p < 0.001), VPA (p < 0.05), and MVPA (p < 0.001) to associate curvilinearly with income. In subgroup analyses, a curvilinear association was found between MPA (p < 0.01) and MVPA (p < 0.01) among those with physically strenuous work, VPA among all females (p < 0.01) and females with physically light work (p < 0.01), and MPA and MVPA among all males and males with physically strenuous work (p < 0.05; p < 0.01; p < 0.05; p < 0.05, respectively) and income. The highest income benefits occurred at PA volumes higher than current PA guidelines. Linear associations between PA and income were found among females for MPA (p < 0.05) and MVPA (p < 0.05), among those with physically light work for MPA (p < 0.05), VPA (p < 0.05), and MVPA (p < 0.05), and among females with physically strenuous work for VPA (p < 0.05). We conclude that PA up to the current recommended level is associated with income, but MPA exceeding 505.4 min/week, VPA exceeding 216.4 min/week, and MVPA exceeding 555.0 min/week might have a negative association with income.
Subject(s)
Birth Cohort , Exercise , Male , Child , Female , Adolescent , Humans , Middle Aged , Finland , Motor Activity , AccelerometryABSTRACT
PURPOSE: To examine the associations between longitudinal physical activity (PA) patterns and the development of cardiometabolic risk factors from adolescence to young adulthood. METHODS: This cohort study encompassed 250 participants recruited from sports clubs and schools, and examined at mean age 15 and 19. Device-measured moderate-to-vigorous PA was grouped into five patterns (via a data-driven method, using inactivity maintainers as a reference). The outcomes were: glucose, insulin, homeostasis model assessment for insulin resistance (HOMA-IR), total cholesterol, HDL and LDL cholesterol, triglycerides, blood pressure, and body mass index (BMI). Linear growth curve models were applied with adjustment for sex, age, fruit/vegetable consumption, cigarette/snuff use, and change in the device wear-time. RESULTS: Insulin and BMI increased among decreasers from moderate to low PA (ß for insulin 0.23, 95% CI 0.03-0.46; ß for BMI 0.90; CI 0.02-1.78). The concentration of HDL cholesterol decreased (ß -0.18, CI -0.31 to -0.05) and that of glucose increased (ß 0.18, CI 0.02-0.35) among decreasers from high to moderate PA. By contrast, among increasers, blood pressure declined (systolic ß -6.43, CI -12.16 to -0.70; diastolic ß -6.72, CI -11.03 to -2.41). CONCLUSIONS: Already during the transition to young adulthood, changes in PA are associated with changes in cardiometabolic risk factors. Favorable blood pressure changes were found among PA increasers. Unfavorable changes in BMI, insulin, glucose, and HDL cholesterol were found in groups with decreasing PA. The changes were dependent on the baseline PA and the magnitude of the PA decline.
Subject(s)
Cardiovascular Diseases , Insulin Resistance , Humans , Adolescent , Young Adult , Adult , Cardiometabolic Risk Factors , Cholesterol, HDL , Cohort Studies , Risk Factors , Waist Circumference , Exercise/physiology , Insulin , Blood Pressure/physiology , Body Mass Index , Glucose , Blood GlucoseABSTRACT
OBJECTIVES: Discriminating sleep period from accelerometer data remains a challenge despite many studies have adapted 24-h measurement protocols. We aimed to compare and examine the agreement among device-estimated and self-reported bedtime, wake-up time, and sleep periods in a sample of adults. MATERIALS AND METHODS: Participants (108 adults, 61 females) with an average age of 33.1 (SD 0.4) were asked to wear two wearable devices (Polar Active and Oura ring) simultaneously and record their bedtime and wake up time using a sleep diary. Sleep periods from Polar Active were detected using an in-lab algorithm, which is openly available. Sleep periods from Oura ring were generated by commercial Oura system. Scatter plots, Bland-Altman plots, and intraclass correlation coefficients (ICCs) were used to evaluate the agreement between the methods. RESULTS: Intraclass correlation coefficient values were above 0.81 for bedtimes and wake-up times between the three methods. In the estimation of sleep period, ICCs ranged from 0.67 (Polar Active vs. sleep diary) to 0.76 (Polar Active vs. Oura ring). Average difference between Polar Active and Oura ring was -1.8 min for bedtimes and -2.6 min for wake-up times. Corresponding values between Polar Active and sleep diary were -5.4 and -18.9 min, and between Oura ring and sleep diary -3.6 min and -16.2 min, respectively. CONCLUSION: Results showed a high agreement between Polar Active activity monitor and Oura ring for sleep period estimation. There was a moderate agreement between self-report and the two devices in estimating bedtime and wake-up time. These findings suggest that potentially wearable devices can be interchangeably used to detect sleep period, but their accuracy remains limited.Key MessagesEstimation of sleep period from different devices could be comparable.Difference between sleep periods from monitors and sleep diary are under 20 min.Device-based estimation of sleep period is encouraged in population-based studies.
Subject(s)
Caffeine , Sleep , Female , Humans , Adult , Self Report , Actigraphy/methodsABSTRACT
Objectives: To investigate the effects of 4 months of customised, home-based exergaming on physical function and pain after total knee replacement (TKR) compared with standard exercise protocol. Methods: In this non-blinded randomised controlled trial, 52 individuals aged 60-75 years undergoing TKR were randomised into an exergaming (intervention group, IG) or a standard exercising group (control group, CG). Primary outcomes were physical function and pain measured before and after (2 months and 4 months) surgery using the Oxford Knee Score (OKS) and Timed Up and Go (TUG) test. Secondary outcomes included measures of the Visual Analogue Scale, 10m walking, short physical performance battery, isometric knee extension and flexion force, knee range of movement and satisfaction with the operated knee. Results: Improvement in mobility measured by TUG was greater in the IG (n=21) at 2 (p=0.019) and 4 months (p=0.040) than in the CG (n=25). The TUG improved in the IG by -1.9 s (95% CI, -2.9 to -1.0), while it changed by -0.6 s (95% CI -1.4 to 0.3) in the CG. There were no differences between the groups in the OKS or secondary outcomes over 4 months. 100% of patients in the IG and 74% in the CG were satisfied with the operated knee. Conclusion: In patients who have undergone TKR, training at home with customised exergames was more effective in mobility and early satisfaction and as effective as standard exercise in pain and other physical functions. In both groups, knee-related function and pain improvement can be considered clinically meaningful. Trial registration number: NCT03717727.
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OBJECTIVE: Up to 70% of women with polycystic ovary syndrome (PCOS) have pre-obesity or obesity. The aim of this study was to investigate whether women with PCOS have more weight-loss attempts than women without PCOS, regardless of BMI. Moreover, women's weight perceptions in relation to previous weight-loss attempts were evaluated. METHODS: A population-based birth cohort study included women with (n = 278) and without PCOS (control individuals, n = 1560) who were examined at ages 31 and 46 years with questionnaires and clinical examinations. RESULTS: Women with PCOS had more weight-loss attempts compared with control individuals at age 31 (47% vs. 34%, p < 0.001) and 46 years (63% vs. 47%, p < 0.001). At age 46 years, PCOS was associated with multiple weight-loss attempts in the adjusted model (odds ratio: 1.43 [95% CI: 1.00-2.03], p = 0.05). The perception of having overweight was more prevalent in those with PCOS, even among participants with normal weight, at age 31 (PCOS 47% vs. control 34%, p = 0.014) and 46 years (PCOS 60% vs. control 39%, p = 0.001). CONCLUSIONS: Women with PCOS were more likely to have experienced multiple weight-loss attempts and a perception of having overweight compared with control individuals, regardless of obesity status.
Subject(s)
Overweight , Polycystic Ovary Syndrome , Female , Humans , Adult , Middle Aged , Overweight/epidemiology , Overweight/complications , Polycystic Ovary Syndrome/complications , Polycystic Ovary Syndrome/epidemiology , Body Mass Index , Cohort Studies , Obesity/epidemiology , Obesity/complications , Weight Loss , PerceptionABSTRACT
BACKGROUND: Insufficient physical activity is risk factor for morbidity and premature mortality. This population-based birth cohort study investigated the cross-sectional and longitudinal associations between self-reported temperament at age 31 and self-reported leisure-time moderate to vigorous physical activity (MVPA) levels and changes thereof from the age of 31 to the age of 46 years. METHODS: The study population comprised 3,084 subjects (1,359 male and 1,725 female) from the Northern Finland Birth Cohort 1966. MVPA was self-reported at ages 31 and 46 years. Novelty seeking, harm avoidance, reward dependence, and persistence and their subscales were measured using Cloninger's Temperament and Character Inventory at age 31. Four temperament clusters were used in the analyses: persistent, overactive, dependent, and passive. Logistic regression was used to evaluate the relationship between temperament and MVPA. RESULTS: The persistent and overactive temperament profiles at age 31 were positively associated with higher MVPA levels both in young adulthood and in midlife, while the passive and dependent temperament profiles were associated with lower MVPA levels. The overactive temperament profile was associated with a decrease in MVPA levels from young adulthood to midlife among males. CONCLUSION: A passive temperament profile characterized by high harm avoidance is associated with a higher risk of low MVPA level than other temperament profiles over the life cycle in females. The results suggest that temperament may play a role in determining the level and sustainability of MVPA. Individual targeting and intervention tailoring for promoting physical activity should consider temperament traits.
Subject(s)
Birth Cohort , Temperament , Humans , Female , Male , Young Adult , Adult , Middle Aged , Cohort Studies , Cross-Sectional Studies , Finland , ExerciseABSTRACT
This study aimed to examine the associations of sedentary time, and substituting sedentary time with physical activity and sleep, with cardiometabolic health markers while accounting for a full 24 h of movement and non-movement behaviors, cardiorespiratory fitness (CRF), and other potential confounders. The participants were 4585 members of the Northern Finland Birth Cohort 1966, who wore a hip-worn accelerometer at the age of 46 years for 14 consecutive days. Time spent in sedentary behaviors, light-intensity physical activity (LPA), and moderate-to-vigorous-intensity physical activity (MVPA) were determined from the accelerometer and combined with self-reported sleep duration to obtain the 24-h time use. CRF was estimated from the peak heart rate in a submaximal step test. An isotemporal substitution paradigm was used to examine how sedentary time and substituting sedentary time with an equal amount of LPA, MVPA, or sleep were associated with adiposity markers, blood lipid levels, and fasting glucose and insulin. Sedentary time was independently and adversely associated with the markers of cardiometabolic health, even after adjustment for CRF, but not in partition models including LPA, MVPA, sleep, and CRF. Substituting 60, 45, 30, and 15 min/day of sedentary time with LPA or MVPA was associated with 0.2%-13.7% favorable differences in the cardiometabolic health markers after accounting for LPA, MVPA, sleep, CRF, and other confounders. After adjustment for movement and non-movement behaviors within the 24-h cycle, reallocating additional time to both LPA and MVPA was beneficially associated with markers of cardiometabolic health in middle-aged adults regardless of their CRF level.
Subject(s)
Cardiovascular Diseases , Sedentary Behavior , Middle Aged , Humans , Adult , Exercise/physiology , Obesity , Sleep , AccelerometryABSTRACT
Cardiovascular disease (CVD) causes a high disease burden. Physical activity (PA) reduces CVD morbidity and mortality. We aimed to determine the relationship between the composition of moderate-to-vigorous PA (MVPA), light PA (LPA), sedentary behavior (SB), and sleep during midlife to the incidence of major adverse cardiac events (MACE) and all-cause mortality at a 7-year follow-up. The study population consisted of Northern Finland Birth Cohort 1966 members who participated in the 46-year follow-up in 2012 and were free of MACE (N = 4147). Time spent in MVPA, LPA, and SB was determined from accelerometer data. Sleep time was self-reported. Hospital visits and deaths were obtained from national registers. Participants were followed until December 31, 2019, or first MACE occurrence (acute myocardial infarction, unstable angina pectoris, stroke, hospitalization due to heart failure, or death due to CVD), death from another cause, or censoring. Cox proportional hazards model was used to estimate hazard ratios of MACE incidence and all-cause mortality. Isotemporal time reallocations were used to demonstrate the dose-response association between time spent in behaviors and outcome. The 24-h time composition was significantly associated with incident MACE and all-cause mortality. More time in MVPA relative to other behaviors was associated with a lower risk of events. Isotemporal time reallocations indicated that the greatest risk reduction occurred when MVPA replaced sleep. Higher MVPA associates with a reduced risk of incident MACE and all-cause mortality after accounting for the 24-h movement composition and confounders. Regular engagement in MVPA should be encouraged in midlife.
Subject(s)
Exercise , Myocardial Infarction , Humans , Exercise/physiology , Sedentary Behavior , Proportional Hazards Models , Time Factors , Myocardial Infarction/epidemiology , AccelerometryABSTRACT
PURPOSE: This study estimated the long-term individual-level productivity costs of physical inactivity. METHODS: The data were drawn from the Northern Finland Birth Cohort 1966, to which the productivity cost variables (sick leaves and disability pensions) from Finnish registries were linked. Individuals ( N = 6261) were categorized into physical activity groups based on their level of physical activity, which was measured in three ways: 1) self-reported leisure-time moderate- to vigorous-intensity physical activity (MVPA) at 46 yr old, 2) longitudinal self-reported leisure-time MVPA at 31-46 yr old, and 3) accelerometer-measured overall MVPA at 46 yr old. The human capital approach was applied to calculate the observed costs (years 2012-2020) and the expected costs (years 2012-2031). RESULTS: The results showed that the average individual-level productivity costs were higher among physically inactive compared with the costs among physically active. The results were consistent regardless of the measurement type of physical activity or the period used. On average, the observed long-term productivity costs among physically inactive individuals were 1900 higher based on self-reported MVPA, 1800 higher based on longitudinal MVPA, and 4300 higher based on accelerometer-measured MVPA compared with the corresponding productivity costs among physically active individuals. The corresponding difference in the expected costs was 2800, 1200, and 8700, respectively. CONCLUSIONS: The results provide evidence that productivity costs differ according to an individual's level of physical activity. Therefore, investments in physical activity may decrease not only the direct healthcare costs but also the indirect productivity costs paid by the employee, the employer, and the government.