BackgroundPhysical activity is one of the most important contributors to healthy aging. Public health strategies aiming to promote physical activity among older adults are increasingly being implemented. However, little is known about their impact on social inequalities. Purpose of the study was to analyze whether and how studies of interventions consider effects on social inequalities in physical activity among older adults.MethodsNine electronic databases were searched to identify quantitative studies evaluating the effects of interventions on self-reported or objectively measured physical activity among the general population of older adults (≥50 years). English and German language peer-reviewed journal articles published between 2005 and 2015 were included. Using the PROGRESS-Plus framework, data on whether and how social factors were considered both for describing participants’ baseline characteristics and for measuring intervention effects were systematically extracted. Studies examining differential intervention effects by at least one PROGRESS-Plus factor were quality assessed. Results were presented in narrative synthesis.ResultsFifty-nine studies were included. Beside age and sex, 44 studies used at least 1 further PROGRESS-Plus factor for the description of participants’ baseline characteristics. When measuring intervention effects, 22 studies considered PROGRESS-Plus factors as control variables. Eleven studies reported having analyzed potential effects on inequalities by testing interaction effects, stratifying effect analyses, or exploring associations between PROGRESS-Plus factors and increases in physical activity following an intervention. Effects were most often analyzed by gender/sex (n = 9) and age (n = 9), followed by education (n = 3), marital status (n = 2), and race/ethnicity (n = 2). Five studies pointed to gender/sex- or age-specific intervention effects, indicating that some interventions affect males and females, and younger and older individuals differently.ConclusionsMany studies evaluating the effects of interventions on physical activity among older adults have not exploited the potential for assessing effects on social inequalities so far. There is an urgent need for systematic application of appropriate methodological approaches and transparent reporting of social inequalities-related findings which can provide important indications for the design of those interventions most likely to be effective across all social groups of older adults.Trial registrationPROSPERO registration number: CRD42015025066 Electronic supplementary materialThe online version of this article (doi:10.1186/s12966-017-0472-4) contains supplementary material, which is available to authorized users.

Reducing social inequalities in health and health determinants, including physical activity (PA), is a major challenge for public health. PA-promoting interventions are increasingly implemented. Little is known, however, about the impact of these interventions on social inequalities. For prioritizing interventions most likely to be effective in reducing inequalities, studies of PA interventions need to conduct equity impact assessments. The aim of this article is to describe the development of a logic model framework for equity impact assessments of interventions to promote PA. The framework was developed within the prevention research network AEQUIPA—Physical activity and health equity: primary prevention for healthy ageing, informed by an equity-focused systematic review, expert interviews, exploratory literature searches, and joint discussions within the network. The framework comprises a general equity-focused logic model to be adapted to specific interventions. The intervention-specific equity-focused logic models illustrate the key elements relevant for assessing social inequalities in study participation, compliance with and acceptance of interventions, as well as the efficacy of interventions. Future work within AEQUIPA will reveal which key elements are most critical for the interventions’ equity impacts. Equity impact assessments are beneficial for prioritizing interventions most likely to be effective in reducing health inequalities.

Among European university students, perceiving NPPSSP use and approval of use to be the norm was positively associated with students' personal NPPSSP use and approval of use, respectively. Interventions addressing perceived social norms may prevent or reduce NPPSSP use among university students. Final trial registration number: DRKS00004375 on the 'German Clinical Trials Register'.

Background Sports activity (SA) behavior is unequally distributed across socioeconomic status (SES) groups. However, little is known about the impact of SES on change in SA over time. Methods Based on data from the German Ageing Survey, we examined the role of objective (education, occupational prestige, household equivalent income, composite SES-index) and subjective (self-rated standard of living) SES indicators on negative and positive changes in SA during a follow-up of 6 years among adults aged 40+ years using logistic regression analysis. Results Among active individuals at baseline, 32.1% of males and 24.8% of females experienced a negative change in SA. Among inactive individuals, 25.8 and 29.9% experienced a positive change. In the multivariate analysis, males and females with low SES were about twice as likely to experience a negative change and half as likely to experience a positive change. These patterns were observed regardless which SES indicator was examined. Conclusions This study provides comprehensive evidence for socioeconomic inequalities in negative and positive changes in SA behavior among middle-aged and older adults in Germany. To reduce socioeconomic inequalities, future SA interventions should address the mechanisms leading to differential probabilities of change in SA behavior by SES.

There are substantial social inequalities in children's secondhand smoke (SHS) exposure in many countries. Both hypotheses on the effect of smoke-free legislation on children's SHS exposure at home, the displacement hypothesis and the social diffusion hypothesis, did not take social inequalities into account. Up to now, only few studies analysed the effects of smoke-free legislation on social inequalities in children's SHS exposure at home. Public smoking bans had overall no negative impact on social inequalities in children's SHS exposure at home. More consistent reporting of absolute and relative inequalities is needed to comprehensively assess equity impact of smoke-free legislation.