Activity Tracking Devices in Group Prenatal Care: A Feasibility Study

A scoping review of the types and features of technology used to deliver exercise prescription and improve exercise adherence

OBJECTIVE

Exercise adherence and motivation can benefit from technology, but the specific factors influencing these improvements remain unclear. This scoping review aimed to outline the types and features of technology used in exercise prescription within healthcare, focusing on enhancing users' adherence to exercise.

METHODS

A comprehensive systematic literature search was conducted from January 2000 to February 2023 across Web of Science, Google Scholar, and MEDLINE via PubMed. The review sought studies on technology-based exercise prescriptions for adults ≥ 18 years, evaluating features that enhance motivation or adherence.

RESULTS

Out of 1724 articles reviewed, 45 met the criteria, demonstrating that mobile applications, exercise gaming, wearable trackers, and websites are commonly used technologies for prescribing exercise in healthcare setting. Common features, special features, and motivating features were found to be important in all technology-based exercise tools to enhance users' adherence and motivation.

CONCLUSION

This review provides a comprehensive overview of the technological types and approaches that can support and improve exercise adherence among health service users. The findings also emphasize on specific features that can address current gaps in technology-driven fitness interventions.

PRACTICE IMPLICATIONS

Healthcare professionals should make informed decisions when recommending these tools to health service users, since technology does play a significant role in promoting long-term adherence to exercise programs.

Prenatal physical activity and the gut microbiota of pregnant women: results from a preliminary investigation

PURPOSE

To determine whether physical activity (PA), specifically meeting the recommended 150 minutes of moderate-intensity PA per week, is associated with gut microbiota composition in pregnant women.

METHODS

In an ongoing birth cohort study, questions from the Behavioral Risk Factor Surveillance System, which provides data on PA variables, were used to determine whether pregnant women met or exceeded the PA recommendations. To profile the composition of gut bacterial microbiota, 16S rRNA sequencing was performed on stool samples obtained from pregnant women. Differences in alpha diversity metrics (richness, Pielou's evenness, and Shannon's diversity) according to PA were determined using linear regression, whereas beta diversity relationships (Canberra and Bray-Curtis) were assessed using Permutational multivariate analysis of variance (PERMANOVA). Differences in relative taxon abundance were determined using DESeq2.

RESULTS

The complete analytical sample included 23 women that were evaluated for both PA and 16S rRNA sequencing data (median age [Q1; Q3] = 30.5 [26.6; 34.0] years; 17.4% Black), and 11 (47.8%) met or exceeded the PA recommendations. Meeting or exceeding the PA recommendations during pregnancy was not associated with gut microbiota richness, evenness, or diversity, but it was related to distinct bacterial composition using both Canberra (p = 0.005) and Bray-Curtis (p = 0.022) distances. Significantly lower abundances of Bacteroidales, Bifidobacteriaceae, Lactobacillaceae, and Streptococcaceae were observed in women who met or exceeded the PA recommendations (all false discovery rates adjusted, p < 0.02).

CONCLUSION

Pregnant women who met or exceeded the PA recommendations showed altered gut microbiota composition. This study forms the basis for future studies on the impact of PA on gut microbiota during pregnancy.

Level of Physical Activity in Pregnant Populations from Different Geographic Regions: A Systematic Review

The aim of this study was to examine the level of physical activity during pregnancy in different populations worldwide. An intensive search was carried out from February until May 2021. The inclusion criteria were original studies of healthy pregnant women, and the main study variable was the assessment of physical activity. A total of 110 out of 1451 studies were assessed for inclusion, using the Newcastle–Ottawa Scale for quality, and for the risk of bias. The 44 analyzed articles were divided into 5 tables according to the characteristics of the intervention and the validated instrument used to measure physical activity (PA). A total of 59.09% of the studies indicated that participants had a low level of physical activity during pregnancy. In addition, the median quality score of the studies was 7.12, and 77.27% of the studies were cataloged as having a high-quality score. Although international guidelines recommend that women without a contraindication engage in prenatal physical activity, the results of the present study show that the level of PA is too low for women to achieve scientifically proven maternal-fetal benefits. Failure to achieve the recommended levels of weekly physical activity could pose significant risks to maternal well-being.

Impact of physical activity on course and outcome of pregnancy from pre- to postnatal

A healthy lifestyle that includes physical activity has numerous positive effects on the mother and child during and after pregnancy. In this context physical activity plays a central role due to its influence on body composition. While visceral fatty tissue has a pro-inflammatory effect via so-called adipokines, myokines seem to have a more anti-inflammatory effect and thus prevent numerous diseases such as gestational hypertension or gestational diabetes. However, many women show a decreased level of physical activity during pregnancy when compared to pre-gestation levels. The reasons underlying this change are manifold and include concern about the effects of physical exertion on the unborn child. Gynaecologists and midwives are also often uncertain about what specific advice to give regarding physical activity. The present review describes, besides the underlying mechanisms, current physical activity recommendations and corresponding evidence with a focus on weight development in terms of obesity, gestational diabetes and foetal outcome.

Sleep Duration during Pregnancy using an Activity Tracking Device

Objective  The aim of this study was to describe sleep duration across gestation in women who wore an activity-tracking device (ATD) during pregnancy, and to study the association between sleep duration and adverse maternal and neonatal outcomes Study Design  Women ≥ 18 years old who owned a smartphone were approached to participate in 2016 to 2017. Participants received instructions to wear and sync an ATD daily. Steps, sedentary hours, and sleep duration were wirelessly transmitted via cellular technology. We measured sleep duration for the main episode of sleep and excluded sleep times < 120 minutes. Mixed models were used to assess the trajectory of mean weekly hours of sleep by gestational age. Secondary analyses evaluated differences in pregnancy outcomes between insufficient (< 7/24 hours) and sufficient sleep (≥ 7/24 hours) groups, based on mean hours of sleep within the first 7 days of ATD use. Results  The majority of 94 participants self-reported minority racial-ethnic status (33% non-Hispanic black and 51% Hispanic), had government insurance (83%), were nulliparous (61%), and had pre-pregnancy overweight or obesity (56%). The mean (standard deviation) duration of sleep was 7.2 ± 2.4 hours per 24 hours. In mixed models analyses, gestational age was statistically significantly associated with mean hours of sleep ( β = -0.02; 95% confidence interval: -0.04 to -0.01; p  < 0.001). Women who had < 7 hours of sleep had greater median daily steps compared with those who had ≥ 7 hours of sleep (median: 7,122; interquartile range [IQR]: 5,167-8,338 vs. median: 5,005; IQR: 4,115-7,059; p  < 0.01), but there were no significant differences in other outcomes (sedentary time, gestational weight gain, pregnancy associated hypertension, gestational diabetes, gestational age at delivery, cesarean delivery, or mean birthweight), p   > 0.05 for all comparisons. Conclusion  The mean sleep duration was 7.2 ± 2.4 hours among the 94 women in this cohort and decreased with advancing gestational age. Further research is required to evaluate sleep measurements with ATD in pregnant women and how sleep duration and quality is related to maternal and neonatal outcomes.

Daily Relations between Social Perceptions and Physical Activity among College Women

OBJECTIVES

There is a need to develop more effective physical activity (PA) promotion programs for college women. Theory and evidence suggest that perceptions of the social environment play a role in college women's PA, though little is known about how these perceptions are associated with PA at the day level. The goal of this study was to examine relations between changes in college women's daily social perceptions and objectively assessed PA over seven days.

DESIGN

Daily diary method.

METHOD

College women (n = 80, M Age = 20, M BMI = 23.1 kg/m2) wore Fitbit wristbands and completed daily self-reports of (1) the quantity and perceived intensity of their social interactions (positive/negative), and (2) the occurrence of social comparisons (based on appearance/health/status) for seven days.

RESULTS

Multilevel models showed daily variability in predictors and outcomes (ps < 0.0001), as well as relations between within-person changes in social perceptions and PA. Increases in negative interactions (particularly those with friends) were consistently associated with decreases in daily PA, whereas increases in positive interactions showed limited relations (srs = -0.22-0.34). Days with health comparisons were days with greater PA for women who had stronger overall interest in comparisons, but were days with less PA for women with weaker overall interest (srs = 0.22-0.33). PA did not differ between days with vs. without appearance comparisons.

CONCLUSIONS

Social perceptions show meaningful day-to-day variability and relations with college women's daily PA, and specific associations may be useful for improving tailored interventions for college women.

A feasibility study of activity tracking devices in pregnancy

BACKGROUND

We aimed to evaluate the feasibility of using an activity-tracking device (ATD) during pregnancy and compare self-reported to ATD-calculated energy expenditure in a 2-phase study.

METHODS

(Phase 1) Twenty-five pregnant women were asked about exercise, computer use, smartphone ownership, and ATD attitudes. Descriptive statistics were reported. (Phase 2) Women ≥18 years, smartphone owners, < 16-weeks gestation, and without exercise restrictions were approached to participate in 2016-2017. Women received instructions to wear and sync the ATD daily. We assessed protocol adherence and satisfaction via surveys at 36-weeks and used mixed models to assess the relationship between gestational age and ATD data. Energy expenditure from the Pregnancy Physical Activity Questionnaire (PPAQ) was compared to ATD-calculated energy expenditure.

RESULTS

(Phase 1) Walking was the most common exercise; 8% did not perform any activity during pregnancy. All women had internet access and owned a smartphone. Women stated they would wear the ATD all the time during a pregnancy (88%), with the intent to improve their health (80%). (Phase 2) The characteristics of the 48 women were: pre-pregnancy BMI 28, 62% non-Hispanic black, 62% multiparas. Of the 18 women who completed the 36-week survey, only 56% wore the ATD daily, 33% had a lost or broken ATD, and 17% had technical problems; however, 94% enjoyed wearing it, 94% would recommend it to a pregnant friend, and 78% thought it helped them reach activity goals. According to ATD data, the median number of active days was 41 (IQR 20-73) and the median proportion of active days out of potential days was 22% (IQR 11-40). As gestational age increased, mean log steps decreased, active minutes decreased, and sedentary hours increased in unadjusted and adjusted models (P < 0.05 all comparisons). There were no differences in mean energy expenditure (MET-h/week) estimated by PPAQ or ATD data at 28 weeks gestation [212 (22-992 range) vs. 234 (200-281 range), P = 0.66] and at 36 weeks [233 (86-907 range) vs. 218 (151-273 range), P = 0.68]).

CONCLUSIONS

Women reported high motivation to wear an ATD and high satisfaction with actually using an ATD during pregnancy; however adherence to the study protocol was lower than expected and ATD technical problems were frequent.