Overall , these aggregations of data provide evidence that DHIs can reduce CVD outcomes and have a positive impact on risk factors for CVD
OBJECTIVE To assess the potential benefit of digital health interventions ( DHIs ) on  cardiovascular disease ( CVD ) outcomes ( CVD events , all-cause mortality , hospitalizations ) and risk factors compared with non-DHIs .
A low intensity, community based lifestyle programme to prevent weight gain in women with young children: cluster randomised controlled trial
Objective To develop and evaluate the effectiveness of a community behavioural intervention to prevent weight gain and improve health related behaviours in women with young children . Design Cluster r and omised controlled trial . Setting A community setting in urban Australia . Participants 250 adult women with a mean age of 40.39 years ( SD 4.77 , range 25 - 51 ) and a mean body mass index of 27.82 kg/m2 ( SD 5.42 , range 18 - 47 ) were recruited as clusters through 12 primary ( elementary ) schools . Intervention Schools were r and omly assigned to the intervention or the control . Mothers whose schools fell in the intervention group ( n=127 ) attended four interactive group sessions that involved simple health messages , behaviour change strategies , and group discussion , and received monthly support using mobile telephone text messages for 12 months . The control group ( n=123 ) attended one non-interactive information session based on population dietary and physical activity guidelines . Main outcome measures The main outcome measures were weight change and difference in weight change between the intervention group and the control group at 12 months . Secondary outcomes were changes in serum concentrations of fasting lipids and glucose , and changes in dietary behaviours , physical activity , and self management behaviours . Results All analyses were adjusted for baseline values and the possible clustering effect . Women in the control group gained weight over the 12 month study period ( 0.83 kg , 95 % confidence interval ( CI ) 0.12 to 1.54 ) , whereas those in the intervention group lost weight ( −0.20 kg , −0.90 to 0.49 ) . The difference in weight change between the intervention group and the control group at 12 months was −1.13 kg ( −2.03 to −0.24 kg ; P<0.05 ) on the basis of observed values and −1.11 kg ( −2.17 to −0.04 ) after multiple imputation to account for possible bias created by missing values . Secondary analyses after multiple imputation showed a difference in the intervention group compared with the control group for total cholesterol concentration ( −0.35 mmol/l , −0.70 to −0.001 ) , self management behaviours ( diet score 0.18 , 0.13 to 0.33 ; physical activity score 0.24 , 0.05 to 0.43 ) , and confidence to control weight ( 0.40 , 0.11 to 0.69 ) . Regular self weighing was associated with weight loss in the intervention group only ( −1.98 kg , −3.75 to −0.23 ) . Conclusions Weight gain  in women with young children could be prevented using a low intensity self management intervention delivered in a community setting . Self management of health behaviours improved with the intervention . The response rate of 12 % , although comparable with that in other community studies , might limit the ability to generalise to other population s. Trial registration Australian New Zeal and Clinical Trials Registry number ACTRN12608000110381
Overall , these aggregations of data provide evidence that DHIs can reduce CVD outcomes and have a positive impact on risk factors for CVD
OBJECTIVE To assess the potential benefit of digital health interventions ( DHIs ) on  cardiovascular disease ( CVD ) outcomes ( CVD events , all-cause mortality , hospitalizations ) and risk factors compared with non-DHIs .