Introduction Physical inactivity is prevalent in pregnant women, and innovative strategies to promote physical activity are strongly needed. The purpose of the study was to test a 12-week mobile health (mHealth) physical activity intervention for feasibility and potential efficacy. Methods Participants were recruited between December 2012 and February 2014 using diverse recruitment methods. Thirty pregnant women between 10 and 20 weeks of gestation were randomized to an intervention (mobile phone app plus Fitbit) or a control (Fitbit) group. Both conditions targeted gradual increases in physical activity. The mHealth intervention included daily messages and a mobile phone activity diary with automated feedback and self-monitoring systems. Results On monthly average, 4 women were screened for initial eligibility by telephone and 2.5 were randomized. Intervention participants had a 1096 ± 1898 step increase in daily steps compared to an increase of 259 ± 1604 steps in control participants at 12 weeks. The change between groups in weekly mean steps per day during the 12-week study period was not statistically significant (p = 0.38). The intervention group reported lower perceived barrier to being active, lack of energy, than the control group at 12-week visit (p = 0.02). The rates of responding to daily messages and using the daily diary through the mobile app declined during the 12 week study period. Discussion It was difficult to recruit and randomize inactive women who wanted to increase physical activity during pregnancy. Pregnant women who were motivated to increase physical activity might find using mobile technologies in assessing and promoting PA acceptable. Possible reasons for the non-significant treatment effect of the mHealth intervention on physical activity are discussed. Public awareness of safety and benefits of physical activity during pregnancy should be promoted. Clinicaltrials.Gov Identifier NCT01461707.

Objective To review the effectiveness of physical activity (PA) and PA plus diet interventions in managing weight among overweight or obese (OW/OB) pregnant or postpartum women. Methods Four databases were searched for randomized controlled studies published between January 2000 and December 2011 that reported weight change outcomes of PA interventions in OW/OB pregnant or postpartum women. PA alone as well as PA plus diet interventions were included. Results Of 681 abstracts identified, 11 were included (7 trials with pregnant women and 4 trials with postpartum women). Overall, we found that PA interventions were effective for OW/OB pregnant as well as postpartum women. On average, pregnant women in the intervention groups gained 0.91 kg less (95% CI: −1.76, −0.06) compared to those in the usual care groups. Postpartum women in the intervention groups significantly lost more body weight (−1.22 kg; 95% CI: −1.89, −0.56) than those in the control groups. In the subgroup analyses by PA intervention types, supervised PA plus diet interventions were the most effective. Conclusions PA plus diet interventions may require more than advice; supervised PA programs or personalized prescription/goals are needed to prevent excessive weight gain for OW/OB pregnant women and excessive weight retention for OW/OB postpartum women.

Introduction Mobile phone technology may be a cost-effective and convenient way to deliver proven weight-loss interventions and thereby prevent or delay onset of type 2 diabetes. The purpose of this study was to examine the feasibility and efficacy of a diabetes prevention intervention combined with a mobile app and pedometer in English-speaking overweight adults at risk for type 2 diabetes. Design RCT. Participants Participants included 61 overweight adults with a mean age (SD) of 55.2 (9.0) years. Seventy-seven percent were women, 48% were racial/ethnic minorities, and baseline BMI was 33.3 (6.0). Intervention The curriculum was adapted from the Diabetes Prevention Program, with the frequency of in-person sessions reduced from 16 to six sessions and group exercise sessions replaced by a home-based exercise program. A study-developed mobile phone app and pedometer augmented the intervention and provided self-monitoring tools. Main outcome measure Weight loss. Results Data were collected in 2012 and 2013 and were analyzed in 2014. In intention-to-treat analyses, the intervention group (n=30) lost an average of 6.2 (5.9) kg (−6.8% [5.7%]) between baseline and 5-month follow-up compared to the control group’s (n=31) gain of 0.3 (3.0) kg (0.3% [5.7%]) (p<0.001). The intervention group’s steps per day increased by 2,551 (4,712) compared to the control group’s decrease of 734 (3,308) steps per day (p<0.001). In comparison, the intervention group had greater reductions in hip circumference (p<0.001); blood pressure (p<0.05); and intake of saturated fat (p=0.007) and sugar-sweetened beverages (p=0.02). The intervention had no significant effect on fasting lipid or glucose levels. Conclusions The significant weight loss resulting from this modified combined mobile app and pedometer intervention for overweight adults warrants further investigation in a larger trial.

Objective Asian Americans have low prevalence of overweight/obesity based on standard BMI cut points yet have higher rates of diabetes. We examined the prevalence of overweight/obesity, using lower BMI cut points recommended by the World Health Organization (WHO) for Asians, and diabetes in Asian American subgroups in California. Method Secondary analysis of the 2009 adult California Health Interview Survey (n = 45,946) of non-Hispanic Whites (NHW), African Americans, Hispanics and Asians (Vietnamese, Chinese, Korean, Filipino, South Asian and Japanese). WHO Asian BMI cut points (overweight = 23–27.5 kg/m2; obese ≥ 27.5 kg/m2) were used for Asian subgroups. Standard BMI cut points (overweight = 25–29.9 kg/m2; obese ≥ 30 kg/m2) were applied for other groups. Results Among Asian subgroups, overweight/obesity was highest among Filipinos (78.6%), which was higher than NHWs (p < 0.001) but similar to African Americans and Hispanics. Compared to NHW, diabetes prevalence was higher for Vietnamese, Koreans, Filipinos and South Asians with BMI = 23–24.9 kg/m2 and Koreans, Filipinos and Japanese with BMI = 27.5–29.9 kg/m2, the ranges WHO recommends as overweight or obese for Asians but not for other groups. Conclusions Filipinos should be a priority population for overweight/obesity screening. Filipinos, Vietnamese, Korean, South Asians and Japanese have higher diabetes prevalence at lower BMI cut points. WHO Asian BMI cut points may have clinical utility to identify at-risk Asian Americans.