What factors support older people to increase their physical activity levels? An exploratory analysis of the experiences of PACE-Lift trial participants.

BACKGROUND: Physical Activity (PA) has significant health benefits for older adults, but nearly all UK over 60's are not achieving recommended levels. The PACE-Lift primary care-based walking intervention for 60-75 year-olds used a structured, theoretically grounded intervention with pedometers, accelerometers, handbooks and support from practice nurses trained in behaviour change techniques. It demonstrated an objective increase in walking at 3 and 12 months. We investigated the experiences of intervention participants who did (and did not) increase their walking, in order to explore facilitators to increased walking. METHODS: Semi-structured telephone interviews used an interview schedule with a purposive sample of 30 intervention participants, 19 who had objectively increased their walking over the previous year and 11 who had not. Interviews were audio-recorded, transcribed and coded independently by researchers to generate a thematic coding framework. RESULTS: Both groups confirmed that walking was an appropriate PA for people of 'their age'. The majority of those with increased walking participated in the trial as a couple, were positive about individualised goal-setting, developed strategies for maintaining their walking, and had someone to walk with. Non-improvers reported their attempts to increase walking were difficult because of lack of social support and were less positive about the intervention's behaviour change components. DISCUSSION: Walking is an acceptable and appropriate PA intervention for older people. The intervention's goal-setting components were important for those who increased their walking. Mutual support between partners participating as a couple and having someone to walk with also facilitated increased walking.

A comparison of questionnaire, accelerometer, and pedometer: measures in older people.

PURPOSE: To compare (i) the convergent validity of the self-report Zutphen Physical Activity Questionnaire with the 7-d objective physical activity (PA) measurement by accelerometers and pedometers and (ii) the construct validity of these measures by examining their associations with physical health and psychological and anthropometric variables. METHODS: Five hundred and sixty community-dwelling people aged > or =65 yr were invited from a UK primary care practice and 238 (43%) participated (mean age = 74, 53% male). PA was assessed subjectively by the Zutphen questionnaire (modified to include housework questions) and objectively by the 7-d accelerometer monitoring: a random half also had a pedometer. A questionnaire assessed health, disability, and psychological factors, and anthropometric assessment was performed. RESULTS: Mean daily PA levels were as follows: Zutphen = 9.1 kcal x kg(-1) x d(-1) (SD = 6.6 kcal x kg(-1) x d(-1)); accelerometer activity count = 226,648 (SD = 121,966); accelerometer step count = 6495 (SD = 3212); and pedometer step count = 6712 (SD = 3526). Zutphen score was moderately correlated with accelerometer activity count (R = 0.34, P < 0.001) and pedometer step count (R = 0.36, P < 0.001). Pedometer step count was highly correlated with accelerometer activity count (R = 0.82, P< 0.001) and accelerometer step count (R = 0.86, P < 0.001). Objective PA measures showed strong associations with health and anthropometric and psychological variables. Zutphen score was not significantly related to most health or anthropometric measures but was associated with psychological variables and provided information about activity type. CONCLUSIONS: Convergent validity was strong between accelerometers and pedometers but weaker between these and self-report Zutphen. Pedometers may be preferred to accelerometers for simple studies due to their lower cost. Objective measures had better construct validity, being more strongly associated with established PA determinants, and thus offered better value to researchers than the questionnaire, but the latter provided useful detail on activity type, so a combined approach to PA assessment may be preferable.

Optimising recruitment into a study of physical activity in older people: a randomised controlled trial of different approaches.

BACKGROUND: physical activity studies in older people often have poor recruitment. Including a questionnaire with the invitation would provide information about non-participants and selection bias, but could reduce recruitment. Telephone contact might encourage participation. OBJECTIVE: to test the effects of different strategies for recruitment into a study of physical activity in older people. DESIGN: factorial randomised controlled trial. Randomisation by household into four groups: telephone contact plus questionnaire, telephone contact only, questionnaire only, neither. SETTING: primary care, Oxfordshire, United Kingdom. PARTICIPANTS: 560 patients > or = 65 years randomly selected after exclusions. INTERVENTIONS: questionnaire to assess health, functional ability and physical activity. Telephone contact by the research nurse a week after sending study information. MAIN OUTCOME MEASURE: recruitment into physical activity study. RESULTS: telephone contact increased recruitment: contact 47.9% (134/280), no contact 37.9% (106/280), difference (adjusted for the clustering effect of household) 10.0% (95% CI 0.2-19.8). Questionnaire inclusion did not significantly reduce recruitment: no questionnaire 44.3% (124/280) questionnaire 41.4% (116/280) difference -2.9% (95% CI -12.7-7.0). CONCLUSIONS: telephone contact significantly increased recruitment and should be considered in studies where recruitment may be low. While inclusion of a questionnaire provided valuable information on non-participants and did not significantly reduce recruitment, an adverse recruitment effect could not be excluded.

Less healthy, but more active: opposing selection biases when recruiting older people to a physical activity study through primary care.

BACKGROUND: Physical activity studies in older people experience poor recruitment. We wished to assess the influence of activity levels and health status on recruitment to a physical activity study in older people. METHODS: Comparison of participants and non-participants to a physical activity study using accelerometers in patients aged > or = 65 years registered with a UK primary care centre. Logistic regression was used to calculate odds ratios (OR) of participants in the accelerometer study with various adjustments. Analyses were initially adjusted for age, sex and household clustering; the health variables were then adjusted for physical activity levels and vice versa to look for independent effects. RESULTS: 43%(240/560) participated in the physical activity study. Age had no effect but males were more likely to participate than females OR 1.4(1.1-1.8). 46% (76/164) of non-participants sent the questionnaire returned it. The 240 participants reported greater physical activity than the 76 non-participants on all measures, eg faster walking OR 3.2(1.4-7.7), or 10.4(3.2-33.3) after adjustment for health variables. Participants reported more health problems; this effect became statistically significant after controlling for physical activity, eg disability OR 2.4(1.1-5.1). CONCLUSION: Physical activity studies on older primary care patients may experience both a strong bias towards participants being more active and a weaker bias towards participants having more health problems and therefore primary care contact. The latter bias could be advantageous for physical activity intervention studies, where those with health problems need targeting.

Mammography uptake predictors in older women.

BACKGROUND: In women aged under 65 years, socio-economic factors and general health behaviours are important predictors of mammography uptake. Little is known about whether these factors are important in older women. OBJECTIVE: To examine a broad range of mammography uptake predictors in women aged 65 and older registered with a London (UK) practice. METHODS: A survey of all female patients aged 65 and over (n = 613) in a south London practice included questions on mammography and cervical screening, general health and functional ability, socio-economic factors, mental health, health behaviours, and attitudes to health. Associations between mammography uptake and other factors were examined using logistic regression. RESULTS: The response rate was 70% (432/613). Increased age was strongly associated with decreased mammography uptake. Additionally, socio-economic factors and general health behaviours (previous cervical smear, drinking alcohol and being a non-smoker) were independently predictive of mammography uptake. Measures of physical and mental health and health attitudes were not independent predictors. Restricting analyses to the oldest women, outside the national screening programme, gave very similar results. CONCLUSIONS: In this sample of older women, socio-economic factors and general health behaviours were more predictive of mammography uptake than measures of physical and mental health or attitudes to health. Knowledge of these predictors is of increasing importance as the screening programme in the UK is extended up to age 70.