Background An aging population and required hypertension control are global concerns that burden the healthcare system. Text messaging interventions have been developed to support hypertension management, but their effects on the older population are unknown. Objectives This review aimed to identify the effects of a text messaging intervention on hypertension management among older adults. Methods Four English and two Chinese databases with randomized controlled trials published between January 2010 and December 2020 were searched. The mean age of the participants was 60 years or above. Participants were also diagnosed with hypertension. The Cochrane risk‐of‐bias tool was used for the critical appraisal. Data in each study were extracted, and a meta‐analysis was presented in terms of mean difference (MD) and standardized mean difference (SMD). Results A total of 1670 records were screened, of which six were included in the final review. The intervention of the included studies lasted up to 6 months, and one‐way text messaging was commonly used. Meta‐analysis showed that a text messaging intervention significantly reduced systolic blood pressure (MD = −6.11, p < .01) but not diastolic blood pressure. Regarding medication adherence, a moderate effect was noted with the use of text messaging among older adults with hypertension (SMD = 0.65, p = .01). Linking Evidence to Action A text messaging intervention can improve hypertension management among older adults. The standardized content of one‐way text messaging is suggested to be delivered weekly.

in Chinese adults with metabolic syndrome: A pilot randomized controlled trial. Complementary therapies in medicine, 46, 54-61.

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Background Practicing healthy lifestyles can reduce the risk to develop noncommunicable diseases and the related mortality. Studies showed that practicing healthy lifestyles could enhance disease-free life expectancy and preserve bodily functions. However, engagement in healthy lifestyle behavior was suboptimal. Objective This study aimed to define individuals’ lifestyle characteristics before and during COVID-19 and determine the factors associated with practicing a healthy lifestyle. This cross-sectional study was conducted using data from the 2019 and 2021 Behavioral Risk Factor Surveillance System surveys. Methods US individuals aged ≥18 years were interviewed via phone call. Healthy lifestyles were assessed through corresponding questions regarding the maintenance of optimal body weight, physical activity, daily consumption of at least five portions of fruits and vegetables, current smoking status, and alcohol consumption. Missing data were imputed using a package in the R statistical software. The effects of practicing a healthy lifestyle on cases without missing data and those with imputation were reported. Results There were 550,607 respondents (272,543 and 278,064 from 2019 and 2021, respectively) included in this analysis. The rates of practicing a healthy lifestyle were 4% (10,955/272,543) and 3.6% (10,139/278,064) in 2019 and 2021, respectively. Although 36.6% (160,629/438,693) of all 2021 respondents had missing data, the results of the logistic regression analysis for cases without missing data and those with imputation were similar. Of the cases with imputation, women (odds ratio [OR] 1.87) residing in urban areas (OR 1.24) with high education levels (OR 1.73) and good or better health status (OR 1.59) were more likely to practice healthier lifestyles than young individuals (OR 0.51-0.67) with a low household income (OR 0.74-0.78) and chronic health conditions (OR 0.48-0.74). Conclusions A healthy lifestyle should be strongly promoted at the community level. In particular, factors associated with a low rate of practice of healthy lifestyles should be targeted.

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