scholarly journals Coaction Between Physical Activity and Fruit and Vegetable Intake in Racially Diverse, Obese Adults

2019 ◽  
Vol 34 (3) ◽  
pp. 238-246
Author(s):  
Natalia I. Heredia ◽  
Maria E. Fernandez ◽  
Alexandra E. van den Berg ◽  
Casey P. Durand ◽  
Harold W. Kohl ◽  
...  

Purpose: There is minimal understanding of the potential for coaction, defined as action on one behavior increasing the likelihood of taking action on another behavior, between physical activity (PA) and fruit and vegetable (FV) intake. The purpose of this study was to assess the bidirectional coaction between FV intake and PA, as well as self-efficacy for these behaviors, in a racially diverse sample of obese adults. Design: This is a secondary analysis using data collected from the Path to Health study, a randomized controlled trial. ClinicalTrials.gov Identifier: NCT03674229. Sample: Obese adults who completed baseline and 6-month follow-up assessments. Measures: For this study, data on FV intake, leisure time PA, and 7-day accelerometer data were analyzed at baseline and 6-month follow-up. Analysis: We interchanged modeling the FV intake and PA change variables as the independent and dependent variables. We conducted multiple imputation and both linear and multinomial regression. Results: The sample (n = 168) was 59% female and mainly split between white (42%) and African American (42%). Change in self-efficacy for PA was predictive of change in self-efficacy for FV intake and vice versa. When compared with participants with no change in FV intake, someone with a positive change in FV intake was more likely to have a positive change in self-reported PA (adjusted risk ratio [RR] = 6.72, 95% confidence interval [CI] = 1.69-26.68). Likewise, when compared with no change, participants with a positive change in self-reported PA were more likely to report a positive change in FV intake (adjusted RR = 6.79, 95% CI = 1.70-27.17). Conclusion: Findings suggest coaction between self-efficacy for FV intake and PA as well as between FV intake and PA. Coaction could be capitalized on to more effectively promote both energy-balance behaviors.

BMJ Open ◽  
2019 ◽  
Vol 9 (8) ◽  
pp. e028684 ◽  
Author(s):  
Eivind Schjelderup Skarpsno ◽  
Tom Ivar Lund Nilsen ◽  
Trond Sand ◽  
Knut Hagen ◽  
Paul Jarle Mork

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.


2011 ◽  
Vol 108 (1) ◽  
pp. 95-103 ◽  
Author(s):  
James J. Annesi

In cognitive-behavioral treatments for obesity, self-regulation is thought to be a strong predictor of behavioral change, but it is rarely directly measured in intervention research. Thus, how self-regulation interacts with other psychological variables regarding treatment effects is largely unknown. In this preliminary field study, self-regulatory skills were directly measured and were found to be significantly associated with both volume of exercise and fruit and vegetable consumption in severely obese adults ( N = 116) enrolled in a behavioral weight management program. Significant partial and complete mediation of the relationship between self-regulation for physical activity and physical activity, and self-regulation for appropriate eating and fruit and vegetable intake, respectively, were found by reported negative mood. Self-efficacy was not found to be a significant mediator of these relationships. The bivariate relationship between baseline scores of self-regulation for physical activity and self-regulation for appropriate eating was significant ( r = .46), which supported the premise that self-regulation is a traitlike personal characteristic. Volume of exercise and fruit and vegetable consumption significantly predicted weight loss over 6 months ( R2 = .35). Results were consistent with the few laboratory-based findings available and, after replication, may extend theory related to obesity treatment.


2020 ◽  
pp. 001789692097790
Author(s):  
Michelle A Thompson ◽  
Claudio R Nigg

Objective: To assess the effectiveness of an adolescent peer-led health curriculum in changing physical activity and fruit and vegetable social-cognitive and behavioural variables among Filipino American adolescents in Hawai’i for participants and peer educators. Design: Quasi-experimental design. Setting: One high school on Oahu, Hawai’i. Method: Filipino American adolescents aged 16–18 years from a grade 12 health class were recruited and trained as peer educators to deliver a health curriculum to grades 9–11 health classes over 8 months. We examined peer educators’ influence on physical activity and fruit and vegetable social-cognitive (knowledge, stage of change, self-efficacy and enjoyment) and behavioural variables (physical activity and consumption). Participants and peer educators completed baseline and follow-up questionnaires. Results: Compared with controls, intervention students showed an increase in physical activity knowledge and self-efficacy. Multiple regression analysis predicted higher physical activity knowledge and moderate-vigorous physical activity follow-up scores for members of the intervention group. A significant effect was found for physical activity stage of change and moderate-vigorous physical activity for peer educators over time. No significant effect was found for any fruit and vegetable variables. Conclusion: A peer-led health curriculum may be a viable method to change physical activity social-cognitive and behavioural variables in Filipino American adolescents and peer educators.


2018 ◽  
Vol 1 (2) ◽  
pp. 60-69 ◽  
Author(s):  
I-Min Lee ◽  
Eric J. Shiroma ◽  
Kelly R. Evenson ◽  
Masamitsu Kamada ◽  
Andrea Z. LaCroix ◽  
...  

In recent years, it has become feasible to use devices for assessing physical activity and sedentary behavior among large numbers of participants in epidemiologic studies, allowing for more precise assessments of these behaviors and quantification of their associations with health outcomes. Between 2011–2015, the Women’s Health Study (WHS) used the Actigraph GT3X+ device to measure physical activity and sedentary behavior over seven days, during waking hours, among 17,708 women (Mage, 72 years) living throughout the United States. Devices were sent to and returned by participants via mail. We describe here the methods used to collect and process the accelerometer data for epidemiologic data analyses. We also provide metrics that describe the quality of the accelerometer data collected, as well as expanded findings regarding previously published associations of physical activity or sedentary behavior with all-cause mortality during an average follow-up of 2.3 years (207 deaths). The WHS is one of the earliest “next generation” epidemiologic studies of physical activity, utilizing wearable devices, in which long-term follow-up of participants for various health outcomes is anticipated. It therefore serves as a useful case study in which to discuss unique challenges and issues faced.


Circulation ◽  
2018 ◽  
Vol 137 (suppl_1) ◽  
Author(s):  
Paulette D Chandler ◽  
Deirdre Tobias ◽  
Jule E Buring ◽  
I-Min Lee ◽  
Daniel Chasman ◽  
...  

Background: Given the increased prevalence of cancer survivors in the United States, it is imperative to define risk factors for potential reductions in total and cause-specific mortality. Physical activity (PA) represents a promising target for intervention. Design: We prospectively evaluated PA from questionnaires before and after cancer diagnosis with total and cause-specific mortality among 13,297 subjects diagnosed with invasive cancer combined from the Physicians’ Health Study (PHS) (n=6328), Physicians’ Health Study II (PHS II) (n=912), and Women's Health Study (WHS) (n=6057). WHS and PHS participants were free of baseline cancer; PHS II participants reported no active cancer at baseline. We ascertained PA before and after an incident cancer diagnosis based on reports on repeated follow-up questionnaires. Death was ascertained by medical records and death certificates. Cox regression estimated combined hazard ratios (HRs) of mortality by PA adjusted for age, randomized treatments, BMI, and other lifestyle/demographic factors. We evaluated the interaction between PA before and after cancer diagnosis by comparing PA ≤1 versus ≥2 times/wk. Results: The mean follow-up after cancer diagnosis was 8.0, 7.5, and 5.2 y for WHS, PHS, and PHS II, respectively, during which there were 5623 deaths (WHS, 2164; PHS, 3269; PHS II; 190). Higher PA before cancer diagnosis was associated with significantly lower mortality. Compared with PA ≤ once/wk, the HRs (95% CIs) associated with PA 2-4 and >4 times/wk were 0.87 (0.82-0.93) and 0.88 (0.82-0.94) for total mortality; 0.77 (0.63-0.95) and 0.79 (0.62-0.997) for CVD mortality, and 0.90 (0.83-0.98) and 0.90 (0.83-0.98) for cancer mortality. Higher PA after cancer diagnosis was associated with significantly lower total and cancer mortality and non-significantly lower CVD mortality, with HRs (95% CIs) of 0.65 (0.58-0.72) and 0.66 (0.59-0.73) for total mortality; 0.78 (0.59-1.03) and 0.82 (0.61-1.10) for CVD mortality, and 0.66 (0.57-0.77) and 0.64 (0.55-0.74) for cancer mortality. There was a significant interaction of PA before and after cancer diagnosis for total (p int =0.02) and cancer (p int =0.007) mortality, but not CVD mortality (p int =0.38). Conclusions: Greater PA both before and after cancer diagnosis were significantly associated with lower total and cancer mortality. Higher PA before cancer diagnosis was also associated with lower CVD mortality. PA may be an important target for lower mortality after cancer diagnosis.


2021 ◽  
Vol 25 (77) ◽  
pp. 1-190
Author(s):  
Kamlesh Khunti ◽  
Simon Griffin ◽  
Alan Brennan ◽  
Helen Dallosso ◽  
Melanie Davies ◽  
...  

Background Type 2 diabetes is a leading cause of mortality globally and accounts for significant health resource expenditure. Increased physical activity can reduce the risk of diabetes. However, the longer-term clinical effectiveness and cost-effectiveness of physical activity interventions in those at high risk of type 2 diabetes is unknown. Objectives To investigate whether or not Walking Away from Diabetes (Walking Away) – a low-resource, 3-hour group-based behavioural intervention designed to promote physical activity through pedometer use in those with prediabetes – leads to sustained increases in physical activity when delivered with and without an integrated mobile health intervention compared with control. Design Three-arm, parallel-group, pragmatic, superiority randomised controlled trial with follow-up conducted at 12 and 48 months. Setting Primary care and the community. Participants Adults whose primary care record included a prediabetic blood glucose measurement recorded within the past 5 years [HbA1c ≥ 42 mmol/mol (6.0%), < 48 mmol/mol (6.5%) mmol/mol; fasting glucose ≥ 5.5 mmol/l, < 7.0 mmol/l; or 2-hour post-challenge glucose ≥ 7.8 mmol/l, < 11.1 mmol/l] were recruited between December 2013 and February 2015. Data collection was completed in July 2019. Interventions Participants were randomised (1 : 1 : 1) using a web-based tool to (1) control (information leaflet), (2) Walking Away with annual group-based support or (3) Walking Away Plus (comprising Walking Away, annual group-based support and a mobile health intervention that provided automated, individually tailored text messages to prompt pedometer use and goal-setting and provide feedback, in addition to biannual telephone calls). Participants and data collectors were not blinded; however, the staff who processed the accelerometer data were blinded to allocation. Main outcome measures The primary outcome was accelerometer-measured ambulatory activity (steps per day) at 48 months. Other objective and self-reported measures of physical activity were also assessed. Results A total of 1366 individuals were randomised (median age 61 years, median body mass index 28.4 kg/m2, median ambulatory activity 6638 steps per day, women 49%, black and minority ethnicity 28%). Accelerometer data were available for 1017 (74%) and 993 (73%) individuals at 12 and 48 months, respectively. The primary outcome assessment at 48 months found no differences in ambulatory activity compared with control in either group (Walking Away Plus: 121 steps per day, 97.5% confidence interval –290 to 532 steps per day; Walking Away: 91 steps per day, 97.5% confidence interval –282 to 463). This was consistent across ethnic groups. At the intermediate 12-month assessment, the Walking Away Plus group had increased their ambulatory activity by 547 (97.5% confidence interval 211 to 882) steps per day compared with control and were 1.61 (97.5% confidence interval 1.05 to 2.45) times more likely to achieve 150 minutes per week of objectively assessed unbouted moderate to vigorous physical activity. In the Walking Away group, there were no differences compared with control at 12 months. Secondary anthropometric, biomechanical and mental health outcomes were unaltered in either intervention study arm compared with control at 12 or 48 months, with the exception of small, but sustained, reductions in body weight in the Walking Away study arm (≈ 1 kg) at the 12- and 48-month follow-ups. Lifetime cost-effectiveness modelling suggested that usual care had the highest probability of being cost-effective at a threshold of £20,000 per quality-adjusted life-year. Of 50 serious adverse events, only one (myocardial infarction) was deemed possibly related to the intervention and led to the withdrawal of the participant from the study. Limitations Loss to follow-up, although the results were unaltered when missing data were replaced using multiple imputation. Conclusions Combining a physical activity intervention with text messaging and telephone support resulted in modest, but clinically meaningful, changes in physical activity at 12 months, but the changes were not sustained at 48 months. Future work Future research is needed to investigate which intervention types, components and features can help to maintain physical activity behaviour change over the longer term. Trial registration Current Controlled Trials ISRCTN83465245. Funding This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 25, No. 77. See the NIHR Journals Library website for further project information.


2020 ◽  
Author(s):  
Vahid Farrahi ◽  
Maisa Niemelä ◽  
Mikko Kärmeniemi ◽  
Soile Puhakka ◽  
Maarit Kangas ◽  
...  

Abstract Purpose: A data mining approach was applied to establish a multilevel hierarchy predicting physical activity (PA) behavior, and to methodologically identify the correlates of PA behavior. Methods: Cross-sectional data from the population-based Northern Finland Birth Cohort 1966 study, collected in the most recent follow-up at age 46, were used to create a hierarchy using the chi-square automatic interaction detection (CHAID) decision tree technique for predicting PA behavior. PA behavior is defined as active or inactive depending on participants’ activity profiles, which were previously created through a multidimensional (clustering) approach on continuous accelerometer-measured activity intensities in one week. The input variables (predictors) used for decision tree fitting consisted of individual, demographical, psychological, behavioral, environmental, and physical factors. Using generalized linear mixed models, we also analyzed how factors emerging from the model were associated with three PA metrics, including daily time (minutes per day) in sedentary (SED), light PA (LPA), and moderate-to-vigorous PA (MVPA), to assure the relative importance of methodologically identified factors. Results: Of the 4,582 participants with valid accelerometer data at the latest follow-up, 2,701 and 1,881 had active and inactive profiles, respectively. We used a total of 168 factors as input variables to classify these two PA behaviors. Out of these 168 factors, the decision tree selected 36 factors of different domains from which 54 subgroups of participants were formed. The emerging factors from the model explained minutes per day in SED, LPA, and/or MVPA, including body fat percentage (SED: B=26.5, LPA: B=-16.1, and MVPA: B=-11.7), normalized heart rate recovery 60 seconds after exercise (SED: B=-16.1, LPA: B=9.9, and MVPA: B=9.6), average weekday total sitting time (SED: B=34.1, LPA: B=-25.3, and MVPA: B=-5.8), and extravagance score (SED: B=6.3 and LPA: B=-3.7). Conclusions: Using data mining, we established a data-driven model composed of 36 different factors of relative importance from empirical data. This model may be used to identify subgroups for multilevel intervention allocation and design. Additionally, this study methodologically discovered an extensive set of factors that can be a basis for additional hypothesis testing in PA correlates research.


2021 ◽  
pp. 2100606
Author(s):  
Yue Liu ◽  
Lin Yang ◽  
Meir J. Stampfer ◽  
Susan Redline ◽  
Shelley S. Tworoger ◽  
...  

Reduced physical activity and increased sedentary behavior may independently contribute to development of obstructive sleep apnea (OSA) through increased adiposity, inflammation, insulin resistance and body fluid retention. However, epidemiologic evidence remains sparse, and is primarily limited to cross-sectional studies.We prospectively followed 50 332 women from the Nurses’ Health Study (2002–2012), 68 265 women from the Nurses’ Health Study II (1995–2013), and 19 320 men from the Health Professionals Follow-up Study (1996–2012). Recreational physical activity (quantified by metabolic equivalent of task [MET]-hours/week) and sitting time spent watching TV and at work/away from home were assessed by questionnaires every 2–4 years. Physician-diagnosed OSA was identified by validated self-report. Cox models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for OSA incidence associated with physical activity and sedentary behavior.During 2 004 663 person-years of follow-up, we documented 8733 incident OSA cases. After adjusting for potential confounders, the pooled HR for OSA comparing participants with ≥36.0 versus <6.0 MET-hours/week of physical activity was 0.46 (95% CI: 0.43, 0.50; ptrend<0.001). Compared with participants spending <4.0 h/week sitting watching TV, the multivariable-adjusted HR (95% CI) was 1.78 (1.60, 1.98) for participants spending ≥28.0 h/week (ptrend<0.001). The comparable HR (95% CI) was 1.49 (1.38, 1.62) for sitting hours at work/away from home (ptrend<0.001). With additional adjustment for several metabolic factors including BMI and waist circumference, the associations with physical activity and sitting hours at work/away from home were attenuated but remained significant (ptrend<0.001), whereas the association with sitting hours watching TV was no longer statistically significant (ptrend=0.18).Higher levels of physical activity and fewer sedentary hours were associated with lower OSA incidence. The potential mediating role of metabolic factors in the association between sedentary behavior and OSA incidence may depend on type of sedentary behavior. Our results suggest that promoting an active lifestyle may reduce OSA incidence.


Author(s):  
Matthew Plow ◽  
Robert W Motl ◽  
Marcia Finlayson ◽  
Francois Bethoux

Abstract Background People with multiple sclerosis (MS) often experience fatigue, which is aggravated by inactivity. Identifying mediators of changes in physical activity (PA) and fatigue self-management (FSM) behaviors could optimize future interventions that reduce the impact of MS fatigue. Purpose To examine the effects of telephone-delivered interventions on Social Cognitive Theory constructs and test whether these constructs mediated secondary outcomes of PA and FSM behaviors. Methods Participants with MS (n = 208; Mean age = 52.1; Female = 84.6%) were randomized into contact–control intervention (CC), PA-only intervention, and PA+FSM intervention. Step count (Actigraphy) and FSM behaviors as well as self-efficacy, outcome expectations, and goal setting for PA and FSM were measured at baseline, post-test (12 weeks), and follow-up (24 weeks). Path analyses using bias-corrected bootstrapped 95% confidence intervals (CI) determined whether constructs at post-test mediated behaviors at follow-up when adjusting for baseline measures. Results Path analysis indicated that PA-only (β = 0.50, p < .001) and PA+FSM interventions (β = 0.42, p < .010) had an effect on goal setting for PA, and that PA + FSM intervention had an effect on self-efficacy for FSM (β = 0.48, p = .011) and outcome expectations for FSM (β = 0.42, p = .029). Goal setting for PA at post-test mediated the effects of PA-only (β = 159.45, CI = 5.399, 371.996) and PA + FSM interventions (β = 133.17, CI = 3.104, 355.349) on step count at follow-up. Outcome expectations for FSM at post-test mediated the effects of PA + FSM intervention on FSM behaviors at follow-up (β = 0.02, CI = 0.001, 0.058). Conclusions Goal setting for PA and outcome expectations for FSM may be important constructs to target in telephone-delivered interventions designed to reduce the impact of MS fatigue. Trial registration Clinicaltrials.gov (NCT01572714)


Pain Medicine ◽  
2020 ◽  
Vol 21 (11) ◽  
pp. 3094-3101
Author(s):  
Rahman Shiri ◽  
Tea Lallukka ◽  
Ossi Rahkonen ◽  
Päivi Leino-Arjas

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.


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