Prepregnancy maternal BMI and trajectories of BMI-for-age in children up to four years of age: findings from the 2015 Pelotas (Brazil) birth cohort.

BACKGROUND: The aims of the study were to: (a) describe BMI-for-age trajectories in children up to four years of age; (b) evaluate the association between prepregnancy maternal BMI and the BMI-for-age trajectories. METHODS: Data from 3218 (75.3% of the original cohort) children from the Pelotas 2015 Birth Cohort were analyzed. Prepregnancy BMI (kg/m2) was measured on the perinatal interview. Z-scores of BMI-for-age were calculated for children at three months, 1, 2 and 4 years. Trajectories were identified using a semi-parametric group-based modeling approach. Multinomial logistic regression was used to test the association between prepregnancy BMI (weight excess: BMI ≥ 25 kg/m2) and BMI-for-age trajectories. RESULTS: Four trajectories of the BMI-for-age, in z-score, were identified and represent children in the "increasing", "adequate", "stabilized" and "risk for weight excess" group. A total of 196 children (7.1%) belonged to the group that was at risk of weight excess. Adjusted analyses showed that children whose mothers presented prepregnancy weight excess had 2.36 (95%CI 1.71; 3.24) times more risk of belonging to group "risk for weight excess" when compared to those children whose mothers presented underweight/normal weight before pregnancy. CONCLUSION: The risk of weight excess in children up to 4 years of age were greater in mothers who presented prepregnancy weight excess.

Trajectories of physical activity from mid to older age in women: 21 years of data from the Australian Longitudinal Study on Women's Health.

BACKGROUND: Women's physical activity varies across the adult lifespan. However, changes in physical activity among mid-aged women are not well understood. We analysed 21 years of data from women born in 1946-51 to identify: (1) trajectories of physical activity in the transition from mid- to old-age and (2) determinants of different physical activity trajectories. METHODS: Data were from the 1946-51 cohort of the Australian Longitudinal Study on Women's Health (N = 10,371). Surveys were mailed at three-year intervals from 1998 (age 47-52) to 2019 (age 68-73) to collect data on physical activity, sociodemographic factors (country of birth, area of residence, educational attainment, marital status, income management, paid work hours, living with children age < 18, providing care), health indicators (menopause status, BMI, physical and mental health, chronic conditions), and health behaviours (smoking, alcohol status). Group-based trajectory modelling was used to identify trajectories of physical activity. Multinomial logistic regression models were used to examine the determinants of physical activity trajectories. RESULTS: Five trajectories were identified: Low-stable (13.3% of participants), Moderate-stable (50.4%), Moderate-increasing (22.2%), High-declining (7.7%), and High-stable (6.6%). Sociodemographic characteristics (area of residence, education, income management, living with children, and providing care) were determinants of physical activity trajectories, but the strongest factors were BMI, physical and mental health. Women who were overweight/obese and had poor physical and mental health were less likely to be in the High-stable group than in any other group. Changes in these variables (increasing BMI, and declining physical and mental health) and in marital status (getting married) were positively associated with being in trajectories other than the High-stable group. CONCLUSIONS: Although most women maintained physical activity at or above current guidelines, very low physical activity levels in the Low-stable group, and declining levels in the High-declining group are concerning. The data suggest that physical activity promotion strategies could be targeted to these groups, which are characterised by socioeconomic disadvantage, high (and increasing) BMI, and poor (and worsening) physical and mental health. Removing barriers to physical activity in these women, and increasing opportunities for activity, may reduce chronic disease risk in older age.

Cross-sectional and prospective associations between screen time and childhood neurodevelopment in two Brazilian cohorts born 11 years apart.

BACKGROUND: The aim of this study was to investigate the associations between screen time from ages 2 to 4 years and child neurodevelopment at age 4. METHODS: The participants were from the 2004 (N = 3787) and 2015 (N = 3604) Pelotas (Brazil) birth cohort studies. Childhood neurodevelopment was assessed at age 4 using the Battelle Development Inventory. The time children spent on screen devices was reported by their guardians at ages 2 and 4 years. Linear regression models were used to investigate the association of: (i) time spent on television at ages 2 and 4 years; (ii) time spent on other screens at age 4; and (iii) total screen time at age 4 (television + other screens) with childhood neurodevelopment at age 4. RESULTS: Average daily screen time among children born in 2004 and those born in 2005 aged 4 years were 3.4 (SD: 2.4) and 4.4 h (SD: 2.9), respectively. Overall, few associations of very small magnitude between screen time and child neurodevelopment were observed. Television time at 2 years of age was statistically associated with lower neurodevelopment at 4 years of age in the 2015 cohort (ß = -0.30, 95%CI = -0.55; -0.05). Conversely, television time (ß = 0.17, 95%CI = 0.07, 0.26) and total screen time (ß = 0.22, 95%CI = 0.13, 0.31) at age 4 were associated with higher neurodevelopment at age 4 in the 2004 cohort. CONCLUSIONS: The findings of this study suggest that the amount of time spent on screen devices might not be associated with neurodevelopment of children under 5 years of age. The small magnitude and inconsistencies in the direction of associations did not find evidence to support the current guidelines for screen time at this age. Therefore, more studies, especially those with longitudinal data, are important to comprehend the true effect of screen time on neurodevelopment and other health outcomes.

Absolute intensity thresholds for tri-axial wrist and waist accelerometer-measured movement behaviors in adults.

AIM: This study was aimed to: (1) compare raw triaxial acceleration data from GENEActiv (GA) and ActiGraph GT3X+ (AG) placed on the non-dominant wrist; (2) compare AG placed on the non-dominant and dominant wrist, and waist; (3) derive brand- and placement-specific absolute intensity thresholds for inactive and sedentary time, and physical activity intensity in adults. METHODS: Eighty-six adults (44 men; 34.6 ± 10.8 years) performed nine activities while simultaneously wearing GA and AG on wrist and waist. Acceleration (in gravitational equivalent units; mg) was compared with oxygen uptake (measured with indirect calorimetry). RESULTS: Increases in acceleration mirrored increases in intensity of activities, regardless of device brand and placement. Differences in acceleration between GA and AG worn at the non-dominant wrist were small but tended to be high at lower intensity activities. Thresholds for differentiating inactivity (<1.5 MET) from activity (≥1.5 MET) ranged from 25 mg (AG non-dominant wrist; sensitivity 93%, specificity 95%) to 40 mg (AG waist; sensitivity 78%, specificity 100%). For moderate intensity (≥3 METs), thresholds ranged from 65 mg (AG waist; sensitivity 96%, specificity 94%) to 92 mg (GA non-dominant; sensitivity 93%, specificity 98%); vigorous intensity (≥6 METs) thresholds ranged from 190 mg (AG waist; sensitivity 82%, specificity 92%) to 283 mg (GA non-dominant; sensitivity 93%, specificity 98%). CONCLUSION: Raw triaxial acceleration outputs from two widely used accelerometer brands may have limited comparability in low intensity activities. Thresholds derived in this study can be utilized in adults to reasonably classify movement behaviors into categories of intensity.

Use of electronic devices in leisure time modifies the prevalence and factors associated with sedentary behavior derived exclusively from excessive television viewing among Brazilian adults.

The growing interest in the study of sedentary behavior is justified by its increasing presence in people's daily lives, particularly in leisure time. The aim of this study was to compare the prevalence and factors associated with sedentary behavior derived exclusively from TV time and from its combination with the time spent using other electronic devices among Brazilian adults (n = 52,443). This cross-sectional study used data from the Vigitel survey (2019), which included subjects ≥ 18 years old who resided in the capitals of the 26 Brazilian states and Federal District. High TV time (≥ 4 h/day), and its combination with computer, tablet, or cell phone use (≥ 4 h/day), as well as sociodemographic, behavioral, and health characteristics were self-reported. Adjusted logistic regression was used to estimate odds ratios and 95% confidence intervals (95%CI). The prevalence of high sedentary behavior almost tripled when TV viewing was added to the time spent using other electronic devices (from 12.2%; 95%CI: 11.6; 12.8, to 34.7%; 95%CI: 33.8; 35.6), notably among the youngest (32.0 percentage points). Individuals living without a partner, who smoked, consumed alcohol and processed foods excessively, were physically inactive, and had hypertension were more likely to have both outcomes than their counterparts. Older and less educated individuals were more likely to spend excessive time watching TV and less likely to have high use of other electronic devices in addition to TV viewing than their peers. Including computer, tablet, or cell phone led to an increase in the prevalence of high sedentary behavior. The magnitude and direction of the associations of age and education with high sedentary behavior varied according to the method how high sedentary behavior was defined. Projects, programs, and policies must consider the different indicators of sedentary behavior in monitoring and promoting a healthier lifestyle.

Bi-directional associations between physical activity and growth indicators of pre-school aged children.

Physical activity for young children provides a wealth of benefits for health and development. However, little is known about the inter-relationship of physical activity and growth indicators. The aim of this study was to test the bi-directional associations of physical activity and growth indicators in children under five years of age. This prospective study included 1,575 children with data on physical activity and growth indicators at ages 12, 24 and 48 months. Accelerometers were used to measure physical activity. Z-scores for length/height-for-age, weight-for-length/height, weight-for-age and body mass index (BMI)-for-age were calculated. Bi-directional associations between physical activity and growth indicators were evaluated using cross-lagged panels based on Generalized Estimating Equations and cross-lagged structural equation models. Physical activity was consistently associated with lower weight-related growth indicators: BMI-for-age: ß=-0.12; Weight-for-age: ß=-0.11; Weight-for-length/height: ß=-0.12. Higher BMI-for-age indicated lower physical activity (ß=-0.06). When the exposure was lagged, the association of physical activity on weight-related growth indicators remained, but weight-related growth indicators showed a negative association on physical activity. A bi-directional association between physical activity and weight-related growth indicators was observed. The magnitude of associations were stronger when physical activity was modelled as exposure. These results reinforce the importance of physical activity since early years.

Accelerometer-measured physical activity in mid-age Australian adults.

BACKGROUND: Raw data from accelerometers can provide valuable insights into specific attributes of physical activity, such as time spent in intensity-specific activity. The aim of this study was to describe physical activity assessed with raw data from triaxial wrist-worn accelerometers in mid-age Australian adults. METHODS: Data were from 700 mid-age adults living in Brisbane, Australia (mean age: 60.4; SD:7.1 years). Data from a non-dominant wrist worn triaxial accelerometer (Actigraph wGT3X-BT), expressed as acceleration in gravitational equivalent units (1 mg = 0.001 g), were used to estimate time spent in moderate-vigorous intensity physical activity (MVPA; >100 mg) using different bout criteria (non-bouted, 1-, 5-, and 10-min bouts), and the proportion of participants who spent an average of at least one minute per day in vigorous physical activity. RESULTS: Mean acceleration was 23.2 mg (SD: 7.5) and did not vary by gender (men: 22.4; women: 23.7; p-value: 0.073) or education (p-value: 0.375). On average, mean acceleration was 10% (2.5 mg) lower per decade of age from age 55y. The median durations in non-bouted, 1-min, 5-min and 10-min MVPA bouts were, respectively, 68 (25th -75th : 45-99), 26 (25th -75th : 12-46), 10 (25th -75th : 3-24) and 8 (25th -75th : 0-19) min/day. Around one third of the sample did at least one minute per day in vigorous intensity activities. CONCLUSION: This population-based cohort provided a detailed description of physical activity based on raw data from accelerometers in mid-age adults in Australia. Such data can be used to investigate how different patterns and intensities of physical activity vary across the day/week and influence health outcomes.

Comparison of bone mineral density according to domains of sedentary behavior in children and adolescents.

BACKGROUND: Somatic maturation and the age at onset of puberty are closely related to bone mineral density (BMD), and are potential confounders of the associations between physical activity, sedentary behavior (SB) and BMD in adolescents. Thus the aim was compare BMD at different anatomical sites according to different domains of SB. METHODS: The sample consisted of 88 young people (54 boys and 34 girls; 9.5 ± 1.5 years). The self-reported SB was measured by the time spent on TV, computer, video game and smartphone. BMD at each location and throughout the body was assessed by DEXA. Physical activity was assessed by a questionnaire. The comparison of the different types of BMD sites according to the SB levels for each screen device and the total SB were analyzed by Covariance Analysis (ANCOVA). RESULTS: Whole-body BMD was higher in young people with low total SB (Total BMD = 0.957 ± 0.042) than in those with moderate (Total BMD = 0.921 ± 0.053) and high SB (Total BMD = 0.929 ± 0.051) (p-value = 0.011). Children and adolescents with low total SB had higher BMD legs (0.965 ± 0.056) than young people with high total SB (BMD legs = 0.877 ± 0.209), but this relationship was attenuated when the analyzes were adjusted for physical activity (p-value = 0.068). CONCLUSION: Adolescents with high sedentary behavior tend to have lower whole body bone mineral density than those with low sedentary behavior.

Physical activity and preventable premature deaths from non-communicable diseases in Brazil.

BACKGROUND: Studies on the impact of counterfactual scenarios of physical activity on premature deaths from non-communicable diseases (NCDs) are sparse in the literature. We estimated preventable premature deaths from NCDs (diabetes, ischemic heart disease, stroke, and breast and colon cancers) in Brazil by increasing population-wide physical activity (i) to theoretical minimum risk exposure levels; (ii) reaching the physical activity recommendation; (iii) reducing insufficient physical activity by 10%; and (iv) eliminating the gender differences in physical activity. METHODS: Preventable fractions were estimated using data from a nationally representative survey, relative risks from a meta-analysis and number of premature deaths (30-69 years) from the Brazilian Mortality Information System. RESULTS: Physical activity could potentially avoid up to 16 700 premature deaths from NCDs in Brazil, corresponding to 5.75 and 3.23% of premature deaths from major NCDs and of all-causes, respectively. Other scenarios suggested the following impact on premature deaths: reaching physical activity recommendation (5000 or 1.74% of major NCDs); 10% reduction in insufficient physical activity (500 or 0.17% of major NCDs); eliminating gender differences in physical activity (1000 or 0.33% of major NCDs). CONCLUSIONS: Physical activity may play an important role to reduce premature deaths from NCD in Brazil.

Lifelong robbery victimisation and mental disorders at age 18 years: Brazilian population-based study.

PURPOSE: Urban violence is a major problem in Brazil and may contribute to mental disorders among victims. The aim of this study was to assess the association between robbery victimisation and mental health disorders in late adolescence. METHODS: At age 18 years, 4106 participants in the 1993 Pelotas Birth Cohort Study were assessed. A questionnaire about history of robbery victimisation was administered, the Self-Report Questionnaire was used to screen for common mental disorders, and the Mini International Neuropsychiatric Interview was used to assess major depressive disorder and generalised anxiety disorder. Cross-sectional prevalence ratios between lifetime robbery victimisation and mental disorders were estimated using Poisson regression with robust standard errors, adjusting for socioeconomic variables measured at birth and violence in the home and maltreatment measured at age 15. RESULTS: There was a dose-response relationship between frequency of lifetime robberies and risk of mental disorders. Adolescents who had been robbed three or more times had twice the risk (PR 2.04; 95% CI 1.64-2.56) for common mental disorders, over four times the risk for depression (PR 4.59; 95% CI 2.60-8.12), and twice the risk for anxiety (PR 1.93; 95% CI 1.06-3.50), compared with non-victims, adjusting for covariates. Experiencing frequent robberies had greater impact on common mental disorders than experiencing an armed robbery. Population attributable fractions with regard to robbery were 9% for common mental disorders, 13% for depression, and 8% for anxiety. CONCLUSIONS: Robberies are associated with common mental disorders in late adolescence, independently of violence between family members. Reducing urban violence could significantly help in preventing common mental illnesses.

Trajectories of Physical Activity and Chronic Conditions Among Mid-Aged Women.

INTRODUCTION: Women's physical activity levels vary throughout adulthood. However, the associations between trajectories of physical activity and health outcomes have been little studied. The aim of this study was to examine the associations of physical activity trajectories with incident diabetes, hypertension, obesity, depression, and physical disability in mid-aged women. METHODS: Data were from the 1946-51 cohort of the Australian Longitudinal Study on Women's Health (n=11,611). Mailed surveys at 3-year intervals from 1998 (age 47-52) to 2019 (age 68-73) were used to collect data on physical activity and each outcome. The analyses were conducted in 2023/24. Physical activity trajectories from age 47-61 (2-4 time-points) were identified using group-based trajectory modeling. Cox regression models with time-varying covariates were used to examine the associations of physical activity trajectories with adverse health outcomes onset from ages 56-73 (2-5 time-points). RESULTS: Trajectories of physical activity were labeled as Low (59.7% of participants), Declining (5.9%), Increasing (26.3%), and High (8.1%). The median of 9-year overall physical activity (MET.minutes/week) was 450 in the Low, 1324 in the Declining, 1399 in the Increasing, and 2323 in the High group. Compared with the Low group, the risks of diabetes, obesity and physical disability were lower in the Increasing and High groups, and the risk of depression was lower in the High group. Conversely, the risk of obesity was higher in the Declining group. CONCLUSIONS: Targeting mid-aged women with declining physical activity for prevention programs could enhance health in later life.

Pain exacerbation following physical activity in adults with diabetic neuropathy: Ecological momentary assessment of foot symptoms.

BACKGROUND AND OBJECTIVES: People with diabetic peripheral neuropathy (DPN) report fluctuating foot symptoms. This study used ecological momentary assessment to: (1) compare foot symptoms between days, time points and periods with/without preceding physical activity or pain medication; and (2) determine relationships between symptoms and endogenous pain modulation. METHOD: Ten low-active Australian adults with probable DPN underwent temporal summation of pain (TSP) and conditioned pain modulation (CPM) then completed mobile phone surveys five times daily for seven days, where they recorded the intensity of six foot symptoms and whether they performed physical activity or consumed pain medication in the preceding three hours.  RESULTS: All foot symptoms except numbness were greater in periods following physical activity, whereas periods following pain medication showed greater shooting pain. TSP showed very large correlations with sensitivity to touch, burning pain, shooting pain and prickling/tingling.  DISCUSSION: General practitioners should be aware that physical activity might exacerbate symptoms of DPN when encouraging their patients to be active.

Physical activity counseling in primary health care in Brazil: a national study on prevalence and associated factors.

BACKGROUND: The aim of this study was to determine the prevalence and correlates of physical activity counseling among physicians and nurses working in primary health care in Brazil. METHODS: A phone survey was carried out in 2011 with professionals working in primary health care in Brazil. The target sample consisted of 1,600 randomly selected primary care units covering all regions of the country. We successfully interviewed 529 professionals within the sampled units; 182 physicians and 347 nurses. The overall response rate was 49.6%. Multivariable logistic regression was used to estimate correlates of counseling in the whole sample and separately for physicians and nurses. RESULTS: The prevalence of regular physical activity counseling for at least six months was 68.9% (95% CI 64.9; 72.8) and was significantly higher among physicians compared to nurses (p < 0.05). Most professionals (93.2%) interviewed were unfamiliar with current physical activity recommendations for health. In the adjusted analysis, physical activity counseling was more frequent among those who report assessing patient's physical activity (OR = 2.16; 95% CI 1.41; 3.29), those reporting that lack of time was not a barrier for counseling (OR = 0.62 95% CI 0.42-0.93), those who felt prepared to provide physical activity counseling (OR = 2.34; 95% CI 1.50-3.66), and those working at primary care units offering physical activity programs for patients (OR = 2.06; 95% CI 1.33-3.20). In the stratified analysis, only assessing patient's physical activity was a significant correlate among physicians whereas assessing patient's physical activity, feeling prepared to provide counseling and working in units with physical activity interventions were significant correlates among nurses. CONCLUSIONS: Physicians and nurses deemed physical activity counseling of great importance in primary health care in Brazil. However, in order to increase the quality of counseling and the number of professionals engaging in this activity, these health teams require greater knowledge about physical activity (global recommendations for health) as well as training on the application of instruments for assessing physical activity. Moreover, sufficient time must be allowed during consultations for the counseling process, and physical activity promotion programs should be implemented within the primary health care units.

Maternal Physical Activity Patterns in the 2015 Pelotas Birth Cohort: From Preconception to Postpartum.

BACKGROUND: Motherhood has been associated with reduced leisure-time physical activity (LTPA) levels. We aim to assess maternal LTPA patterns from preconception to 4 years postpartum. METHODS: The study was developed with mothers from the Pelotas 2015 Birth Cohort, Southern Brazil (n = 4273). LTPA data were self-reported for preconception, antenatal, and 3, 12, 24, and 48 months postpartum. Information on LTPA referring to preconception (3 mo before pregnancy) and each gestational trimester was retrospectively collected in perinatal. The prevalence of active mothers was calculated according to recommendations (≥150 min/wk). We described changes in LTPA between follow-ups and estimated the probability of mothers being active according to previous LTPA. We used group-based trajectory analysis to identify patterns of LTPA throughout the follow-ups. RESULTS: The prevalence of active mothers during leisure time decreased in pregnancy and postpartum compared with preconception. At 12 months postpartum, LTPA levels rose again, but at 48 months, the rates of active mothers still had not returned to preconception levels. Prior LTPA engagement was an important determinant of the maintenance of LTPA. Trajectory analysis identified 4 patterns of maternal LTPA, and ∼80% of mothers were allocated to the "always inactive" group. Higher education and income, working outside the home, multiple births, and participating in the PAMELA study intervention were associated with a higher probability of mothers not being included in this predominantly inactive group. CONCLUSIONS: Motherhood is associated with declining rates of women meeting physical activity recommendations during pregnancy and early postpartum.

Physical Activity and Chronic Stress in Early Life: Findings From the 2015 Pelotas (Brazil) Birth Cohort.

BACKGROUND: The association of physical activity through early childhood on children's chronic stress still is unclear. Therefore, the aim of the present study is to test the association of physical activity through early childhood (1-4 y) with chronic stress, measured by hair cortisol at age 4. METHODS: Longitudinal study including children from the 2015 Pelotas (Brazil) Birth Cohort. Cortisol at age 4 was measured using a hair sample, which provided cortisol concentration from the past months. Physical activity was measured using accelerometers at 1, 2, and 4 years. Linear regression models were used to assess the association between physical activity and chronic stress. Trajectory models were also applied to examine chronic stress in relation to physical activity patterns throughout early childhood. RESULTS: Children with valid physical activity and hair cortisol data were included in the analyses (N = 1475). Three groups of physical activity trajectories between 1 and 4 years were identified: low, medium, and high. No association between physical activity at 1, 2, and 4 years and chronic stress at age 4 was observed. However, children in the "high" physical activity trajectory presented low cortisol concentration; the magnitude of the regression coefficient was slightly larger in girls (ß = -0.125; 95% confidence interval, -0.326 to 0.074) than boys (ß = -0.051; 95% confidence interval, -0.196 to 0.09). CONCLUSION: There was no clear association between physical activity and chronic stress in early childhood. Trajectories models suggest that higher activity throughout early childhood may positively impact chronic stress; however, more studies are needed to confirm that hypothesis.

Effects of exercise on kidney function among non-diabetic patients with hypertension and renal disease: randomized controlled trial.

BACKGROUND: Chronic kidney disease is an important public health threat. Such patients present high morbidity and mortality due to cardiovascular disease, with low quality of life and survival, and also high expenditure resulting from the treatment. Arterial hypertension is both a cause and a complication of kidney disease; also, arterial hypertension is a risk factor for cardiovascular disease among patients with kidney diseases. There is some evidence that exercise interventions may be beneficial to chronic kidney disease patients, but previous studies included only end-stage patients, i.e. those undergoing dialysis. This study aims to evaluate the effect of exercise on kidney function, quality of life and other risk factors for cardiovascular disease among non-diabetic chronic hypertensive kidney disease patients who are not undergoing dialysis. METHODS: The participants will be located through screening hypertensive patients attended within the public healthcare network in Pelotas, a city in south of Brazil. Eligible individuals will be those with glomerular filtration rate between 15 and 59 ml/min x 1.73 m(2). The randomization will be done in fixed-size blocks of six individuals such that 75 participants will be allocated to each group. At baseline, information on demographic, socioeconomic, behavioral, anthropometric, blood pressure and quality-of-life variables will be collected, and laboratory tests will be performed. The intervention will consist of three weekly physical exercise sessions lasting 60-75 minutes each, with a total duration of 16 weeks. The outcomes will be the kidney function progression rate, quality of life, blood pressure, lipid profile, hemoglobin level, ultrasensitive C-reactive protein level, and ankle-arm index. The patients in both groups (intervention and control) will be reassessed and compared partway through the study (8th week), at the end of the intervention (16th week) and in the 8th week after the end of the intervention. DISCUSSION: There is still a scarcity of data relating to the effect of physical exercise among the most numerous group of individuals with kidney disease, i.e. patients undergoing conservative treatment. In particular, there is a lack of randomized controlled studies. This study will help fill this gap.

Pain management in advanced cancer: physical activity as an outcome - accelerometer feasibility study.

OBJECTIVE: Cancer pain is a common distressing symptom. Numerical Pain Scales (NPS) assess pain but lack information about function and quality of life. This feasibility study assesses the use of triaxial accelerometers to measure function as an outcome measure in pain studies in advanced cancer. METHODS: Advanced cancer participants were recruited from two palliative care services, with an average pain score of ≥3 on NPS. ActiGraph wGT3X-BT Accelerometers were worn for 1 week on the wrist. Patients recorded daily pain scores, Edmonton Symptom Assessment Scale (ESAS) scores, and their daily opioid use. RESULTS: 24 participants were recruited. A total of 142 days of accelerometer data was collected (5.9 days/participant). The average daily step count was 5723.7. The average acceleration was 14.4 milligravity units/day. An average of 93 min/day total activity across all intensities was recorded. No correlation was seen between acceleration or average daily minutes in activity and total daily oral morphine equivalent, ESAS, 'average pain' score or 'worst pain' scores using spearman's correlation coefficients. Overall, participants were satisfied with the study. CONCLUSIONS: Accelerometers are a feasible method to measure activity as an outcome measure in advanced cancer. Further study is required to assess the impact of pain management strategies on function.

Effects of a 16-week physical training on clinical outcomes in patients with hypertension and chronic kidney disease: NEPHROS post-trial follow-up.

The NEPHROS is a randomized controlled trial which applied a 16-week aerobic and resistance training to patients with chronic kidney disease (CKD) and high blood pressure. This report describes a long-term post-trial follow-up, comparing survival, health-related quality of life (HRQoL), and estimated glomerular filtration rate (GFR) change between the intervention and control groups according to in-trial cardiovascular risk factors. Three years after the original trial, NEPHROS participants were re-evaluated. Cox proportional hazards model was used to compare survival time and linear regression for changes in GFR and physical and mental HRQoL summary scores between intervention and control groups according to age, sex, and in-trial GFR, C-reactive protein, glucose, lipids, ankle-brachial index (ABI), functional capacity, and blood pressure. Of the 150 participants of NEPHROS, 128 were included in the long-term analysis. The previous exercise training had no effects on survival, GFR, or HRQoL. Baseline in-trial GFR (HR = 0.95, 95%CI: 0.92; 0.98) and ABI (HR = 0.03, 95%CI: 0.002; 0.43) were positive independent predictors for survival. Lower ABI (coefficient = 9.00, 95%CI: 0.43; 17.5) and higher systolic blood pressure (coefficient = -0.13, 95%CI: -0.24; -0.03) were independent predictors for GFR decline. A 16-week exercise program had no long-term effect on survival, quality of life, or glomerular filtration in patients with CKD stages 2 to 4. Lower GFR and ABI and higher systolic blood pressure were associated with poorer prognosis among CKD patients.

Longitudinal Associations Between Device-Measured Physical Activity and Early Childhood Neurodevelopment.

BACKGROUND: The aim of this study was to investigate longitudinal associations between physical activity and early childhood neurodevelopment. METHODS: Data from 1673 children from the 2015 Pelotas (Brazil) birth cohort study were analyzed. Physical activity was measured using accelerometers on the wrist at ages 1, 2, and 4 years. Neurodevelopment was measured using the Battelle Development Inventory at age 4 years. Linear regression models were used to test trajectories and cumulative associations of physical activity with child neurodevelopment. RESULTS: Of the 3 physical activity trajectories observed, children in the medium (ß = 1.17; 95% confidence interval, 0.25 to 2.10) and high (ß = 2.22; 95% confidence interval, 0.61 to 3.82) trajectories showed higher neurodevelopment scores than children in the lower activity trajectory. Cumulative analyses showed that children in the highest tertile of physical activity in all follow-ups presented a mean neurodevelopment score 4.57 (95% confidence interval, 2.63 to 6.51) higher than children in the lowest tertile in all follow-ups. All analyses showed a dose-response characteristic of association, with higher physical activity indicating higher neurodevelopment scores. CONCLUSIONS: Physical activity may be an important predictor of neurodevelopment through early childhood.