Trial of efficacy of a family based programme to increase physical activity among individuals at high risk of diabetes

Childhood overweight and obesity prevalence has risen dramatically in the past decades, and family-based interventions may be an effective method to improve children’s eating behaviors. This study aimed to evaluate the effectiveness of three different family-based interventions: group-based, individual-based, or by website approach. Parents and school aged overweight or obese children, 8–12 years of age, were eligible for the study. A total of 115 children were randomly allocated in one of the three interventions, and 91 completed the study (79% compliance); Group 1 (n = 36) received group-based interventions by various experts; Group 2 (n = 30) had interpersonal family meetings with a dietitian; and Group 3 (n = 25) received training through a specifically developed website. Anthropometric, dietary, physical activity, and screen time outcomes were measured at baseline and at the end of the study. Within-group comparisons indicated significant improvement in body weight, body mass index (BMI)-z-score, physical activity, and screen time from baseline in all three study groups (p < 0.05). Furthermore, total body fat percentage (%TBF) was also decreased in Groups 2 and 3. Between-group differences varied with body weight and %TBF change, being larger in Group 3 compared to Groups 1 and 2, in contrast to BMI-z-score, screen time, and health behaviors, which were significantly larger in Group 2 than the other two groups. In conclusion, personalized family-based interventions are recommended to successfully improve children’s lifestyle and body weight status.

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Should Physical Activity Intervention Efforts Take a Whole Population, High-Risk, or Middle Road Strategy?

Journal of Physical Activity and Health ◽

10.1123/jpah.2012-0275 ◽

2014 ◽

Vol 11 (5) ◽

pp. 966-970 ◽

Cited By ~ 4

Author(s):

Geeske Peeters ◽

Richard Hockey ◽

Wendy Brown

Keyword(s):

Physical Activity ◽

Heart Disease ◽

Longitudinal Study ◽

High Risk ◽

Chronic Conditions ◽

Physical Activity Intervention ◽

Incidence Rates ◽

Theoretical Modeling ◽

Actual Distribution ◽

Mail Surveys

Purpose:This study was designed to compare theoretical strategies for changing physical activity (PA) in terms of their potential to reduce the incidence of chronic conditions in midage women: (1) whole population: +30 minutes/week in all, (2) high-risk: +60 minutes/week in the lowest 25% of the PA distribution, and (3) middle road: shift all those not meeting guidelines to a level commensurate with meeting guidelines.Methods:10,854 participants (50–55 years in 2001) in the Australian Longitudinal Study of Women’s Health completed mail surveys in 2001, 2004, 2007, and 2010. PA was calculated as MET·minutes/week spent in walking, moderate and vigorous PA in the previous week. Incidence rates per 1000 person-years for diabetes, heart disease, hypertension, cancer, and depression were calculated for the actual distribution and after modeled shifts in PA.Results:The incidence rates were 10.6 for diabetes, 7.0 for heart disease, 30.7 for hypertension, 8.0 for cancer, and 28.4 for depression. Greater reductions in incidence were found for the middle road strategy than for the whole population and high-risk strategies, with reductions ranging from –6.3% for cancer to –12.3% for diabetes.Discussion:This theoretical modeling showed that a middle road strategy to increasing PA was superior to the whole population and high-risk strategies, in terms of reducing incidence rates of chronic conditions in middle-aged women.

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A family based tailored counselling to increase non-exercise physical activity in adults with a sedentary job and physical activity in their young children: design and methods of a year-long randomized controlled trial

BMC Public Health ◽

10.1186/1471-2458-11-944 ◽

2011 ◽

Vol 11 (1) ◽

Cited By ~ 19

Author(s):

Taija Finni ◽

Arja Sääkslahti ◽

Arto Laukkanen ◽

Arto Pesola ◽

Sarianna Sipilä

Keyword(s):

Physical Activity ◽

Randomized Controlled Trial ◽

Young Children ◽

Controlled Trial ◽

Randomized Controlled ◽

Family Based ◽

Design And Methods

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Can wearable technology be used to approximate cardiopulmonary exercise testing metrics?

Perioperative Medicine ◽

10.1186/s13741-021-00180-w ◽

2021 ◽

Vol 10 (1) ◽

Author(s):

Laura Jones ◽

Laura Tan ◽

Suzanne Carey-Jones ◽

Nathan Riddell ◽

Richard Davies ◽

...

Keyword(s):

Physical Activity ◽

High Risk ◽

Oxygen Uptake ◽

Anaerobic Threshold ◽

Exercise Testing ◽

Low Cost ◽

Cardiopulmonary Exercise Testing ◽

Peak Oxygen Uptake ◽

Wearable Device ◽

Cardiopulmonary Exercise

Abstract Background Consumer wrist-worn wearable activity monitors are widely available, low cost and are able to provide a direct measurement of several markers of physical activity. Despite this, there is limited data on their use in perioperative risk prediction. We explored whether these wearables could accurately approximate metrics (anaerobic threshold, peak oxygen uptake and peak work) derived using formalised cardiopulmonary exercise testing (CPET) in patients undergoing high-risk surgery. Methods Patients scheduled for major elective intra-abdominal surgery and undergoing CPET were included. Physical activity levels were estimated through direct measures (step count, floors climbed and total distance travelled) obtained through continuous wear of a wrist worn activity monitor (Garmin Vivosmart HR+) for 7 days prior to surgery and self-report through completion of the short International Physical Activity Questionnaire (IPAQ). Correlations and receiver operating characteristic (ROC) curve analysis explored the relationships between parameters provided by CPET and physical activity. Device selection Our choice of consumer wearable device was made to maximise feasibility outcomes for this study. The Garmin Vivosmart HR+ had the longest battery life and best waterproof characteristics of the available low-cost devices. Results Of 55 patients invited to participate, 49 (mean age 65.3 ± 13.6 years; 32 males) were enrolled; 37 provided complete wearable data for analyses and 36 patients provided full IPAQ data. Floors climbed, total steps and total travelled as measured by the wearable device all showed moderate correlation with CPET parameters of peak oxygen uptake (peak VO2) (R = 0.57 (CI 0.29–0.76), R = 0.59 (CI 0.31–0.77) and R = 0.62 (CI 0.35–0.79) respectively), anaerobic threshold (R = 0.37 (CI 0.01–0.64), R = 0.39 (CI 0.04–0.66) and R = 0.42 (CI 0.07–0.68) respectively) and peak work (R = 0.56 (CI 0.27–0.75), R = 0.48 (CI 0.17–0.70) and R = 0.50 (CI 0.2–0.72) respectively). Receiver operator curve (ROC) analysis for direct and self-reported measures of 7-day physical activity could accurately approximate the ventilatory equivalent for carbon dioxide (VE/VCO2) and the anaerobic threshold. The area under these curves was 0.89 for VE/VCO2 and 0.91 for the anaerobic threshold. For peak VO2 and peak work, models fitted using just the wearable data were 0.93 for peak VO2 and 1.00 for peak work. Conclusions Data recorded by the wearable device was able to consistently approximate CPET results, both with and without the addition of patient reported activity measures via IPAQ scores. This highlights the potential utility of wearable devices in formal assessment of physical functioning and suggests they could play a larger role in pre-operative risk assessment. Ethics This study entitled “uSing wearable TEchnology to Predict perioperative high-riSk patient outcomes (STEPS)” gained favourable ethical opinion on 24 January 2017 from the Welsh Research Ethics Committee 3 reference number 17/WA/0006. It was registered on ClinicalTrials.gov with identifier NCT03328039.

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Physical activity among parents during pregnancy and 8 months postpartum compared to pre-pregnancy

European Journal of Public Health ◽

10.1093/eurpub/ckaa166.858 ◽

2020 ◽

Vol 30 (Supplement_5) ◽

Author(s):

K Sjögren Forss ◽

L Stjernberg

Keyword(s):

Physical Activity ◽

Transition To Parenthood ◽

Activity Patterns ◽

Life Change Events ◽

Life Change ◽

Major Life ◽

Physical Activity Patterns ◽

Pregnancy And Postpartum ◽

Change Events ◽

Family Based

Abstract Background As there is incontrovertible evidence of the essential prerequisite of regular physical activity it is also important to understand how different life change events may impact individual's participation in physical activity. Pregnancy and the transition to parenthood have been found to be life change events associated with decreased physical activity among women however, the examination of changes of physical activity in the male parent during this major life change event has been largely neglected in scientific literature and a significant research gap can be found. In the light of this, this longitudinal study aimed to follow changing physical activity patterns among women and med during pregnancy and eight months postpartum compared to pre-pregnancy. Methods The study involved 123 women and 112 men (partners of the women) from the municipality of Karlskrona, Sweden. We measured the self-reported amount of physical activity performed outdoors and indoors before pregnancy (calculated from one month before pregnancy), throughout the entire pregnancy, and eight months postpartum. Results We found similar trends among both women and men in decreasing frequency of physical activity during pregnancy and eight months postpartum as compared to pre-pregnancy, however, overall physical activity levels did not change. Conclusions Our findings contribute new knowledge about changes in men's physical activity patterns from pre-pregnancy to pregnancy and postpartum and is an important contribution in research, as the area is very limited. As couples seem to change activity patterns similarly, it is important to promote family-based physical activity initiatives and encourage couples to be active together during pregnancy and postpartum. Key messages Couples seem to change physical activity patterns similarly during pregnancy and postpartum. as compared to pre-pregnancy. It is important to promote family-based physical activity initiatives and encourage couples to be active together during pregnancy and postpartum.

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Metabolic and lifestyle determinants of glycemic variability in persons at high risk of type 2 diabetes: a study with continuous monitoring of diet, physical activity, and glucose level. (Preprint)

10.2196/preprints.30105 ◽

2021 ◽

Author(s):

Su Hyun Park ◽

Jiali Yao ◽

Clare Whitton ◽

Xin Hui Chua ◽

Suresh Rama Chandran ◽

...

Keyword(s):

Physical Activity ◽

High Risk ◽

Glycemic Variability ◽

Tolerance Test ◽

Glucose Levels ◽

Intensity Physical Activity ◽

Time In Range ◽

Vigorous Intensity ◽

Mean Glucose

BACKGROUND Frequent and large fluctuations in blood glucose concentration during the day may increase risk of type 2 diabetes. It remains unclear how diet and physical activity affect glycemic variability in real-world conditions in persons without diabetes. OBJECTIVE We examined metabolic and lifestyle determinants (diet, physical activity, and sleep) of blood glucose levels over a seven-day period in people at high risk for diabetes METHODS Twenty-eight participants with a mean age of 46.0 (SD 9.9) years and a mean body mass index (BMI) of 27.5 (SD 1.8) kg/m2 underwent a mixed meal tolerance test to assess glucose homeostasis at baseline. Subsequently, they wore an accelerometer to assess movement behaviors, recorded their dietary intakes through a mobile phone application, and wore a flash glucose monitoring device that measured glucose levels every 15 min for seven days. Generalized estimating equation models were used to assess the associations of metabolic and lifestyle risk factors with daily mean glucose levels (mmol/L), the coefficient of variation (CV%) of glucose levels, and time-in-range (3.0 to 7.8 mmol/L, %). RESULTS A higher BMI (β = 0.12 per kg/m2; P = 0.01), body fat (β = 0.03 per kg; P = 0.01), and selected markers of hyperglycemia and insulin resistance from the meal tolerance test were associated with higher mean glucose levels during the seven days. Moderate-to-vigorous intensity physical activity (β = -1.77 per hr./d, P = 0.008) and polyunsaturated fat intake (β = -2.23 per 5 energy %, P < 0.001) were independently associated with less variation in glucose levels (CV%). Higher protein (β = 0.90, P = 0.007) and polyunsaturated fatty acid (β = 3.21, P = 0.02) intakes were associated with more time-in-range. In contrast, higher carbohydrates intake was associated with less time-in-range (β = -0.59, P = 0.04). Sleep, sedentary behavior, or light intensity physical activity were not independently associated with glucose measures. CONCLUSIONS Body fatness was associated with higher mean glucose levels, and moderate-to-vigorous intensity physical activity was associated with less glycemic variability throughout a week. Diets with higher protein and polyunsaturated fat, and lower carbohydrates were associated with more time in normal glucose range. Physical activity and dietary composition can substantially influence glucose variation in people at high risk of diabetes.

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