Carlijn B. M. Kamphuis

Socioeconomic differences in lack of recreational walking among older adults: the role of neighbourhood and individual factors

BackgroundPeople with a low socioeconomic status (SES) are more likely to be physically inactive than their higher status counterparts, however, the mechanisms underlying this socioeconomic gradient in physical inactivity remain largely unknown. Our aims were (1) to investigate socioeconomic differences in recreational walking among older adults and (2) to examine to what extent neighbourhood perceptions and individual cognitions regarding regular physical activity can explain these differences.MethodsData were obtained by a large-scale postal survey among a stratified sample of older adults (age 55–75 years) (N = 1994), residing in 147 neighbourhoods of Eindhoven and surrounding areas, in the Netherlands. Multilevel logistic regression analyses assessed associations between SES (i.e. education and income), perceptions of the social and physical neighbourhood environment, measures of individual cognitions derived from the Theory of Planned Behaviour (e.g. attitude, perceived behaviour control), and recreational walking for ≥10 minutes/week (no vs. yes).ResultsParticipants in the lowest educational group (OR 1.67 (95% CI, 1.18–2.35)) and lowest income group (OR 1.40 (95% CI, 0.98–2.01)) were more likely to report no recreational walking than their higher status counterparts. The association between SES and recreational walking attenuated when neighbourhood aesthetics was included in the model, and largely reduced when individual cognitions were added to the model (with largest effects of attitude, and intention regarding regular physical activity). The assiation between poor neighbourhood aesthetics and no recreational walking attenuated to (borderline) insignificance when individual cognitions were taken into account.ConclusionBoth neighbourhood aesthetics and individual cognitions regarding physical activity contributed to the explanation of socioeconomic differences in no recreational walking. Neighbourhood aesthetics may explain the association between SES and recreational walking largely via individual cognitions towards physical activity. Intervention and policy strategies to reduce socioeconomic differences in lack of recreational walking among older adults would be most effective if they intervene on both neighbourhood perceptions as well as individual cognitions.

Socioeconomic inequalities in occupational, leisure-time, and transport related physical activity among European adults: a systematic review.

BackgroundThis study systematically reviewed the evidence pertaining to socioeconomic inequalities in different domains of physical activity (PA) by European region.MethodsStudies conducted between January 2000 and December 2010 were identified by a systematic search in Pubmed, Embase, Web of Science, Psychinfo, Sportdiscus, Sociological Abstracts, and Social Service Abstracts. English-language peer-reviewed studies undertaken in the general population of adults (18–65 years) were classified by domain of PA (total, leisure-time including sport, occupational, active transport), indicator of socioeconomic position (education, income, occupation), and European region. Distributions of reported positive, negative, and null associations were evaluated.ResultsA total of 131 studies met the inclusion criteria. Most studies were conducted in Scandinavia (n = 47). Leisure-time PA was the most frequently studied PA outcome (n = 112). Considerable differences in the direction of inequalities were seen for the different domains of PA. Most studies reported that those with high socioeconomic position were more physically active during leisure-time compared to those with low socioeconomic position (68% positive associations for total leisure-time PA, 76% for vigorous leisure-time PA). Occupational PA was more prevalent among the lower socioeconomic groups (63% negative associations). Socioeconomic differences in total PA and active transport PA did not show a consistent pattern (40% and 38% positive associations respectively). Some inequalities differed by European region or socioeconomic indicator, however these differences were not very pronounced.ConclusionsThe direction of socioeconomic inequalities in PA in Europe differed considerably by domain of PA. The contradictory results for total PA may partly be explained by contrasting socioeconomic patterns for leisure-time PA and occupational PA.

A systematic review of associations between environmental factors, energy and fat intakes among adults: is there evidence for environments that encourage obesogenic dietary intakes?

OBJECTIVE To review the literature examining associations between environmental factors, energy and fat intakes among adults, and to identify issues for future research. METHODS Literature searches of studies published between 1980 and 2004 were conducted in major databases (i.e. PubMed, Human Nutrition, Web of Science, PsychInfo, Sociofile). Additional articles were located by citation tracking. RESULTS Twenty-one articles met the inclusion criteria. No study provided a clear conceptualisation of how environmental factors may influence these dietary intakes. Availability, social, cultural and material aspects of the environment were relatively understudied compared with other factors such as seasonal/day of the week variation and work-related factors. Few studies examined the specific environmental factors implicated in the obesity epidemic, and there was little study replication. All studies were observational and cross-sectional. CONCLUSIONS It is too premature to conclude whether or not environmental factors play a role in obesogenic and unhealthy dietary intakes. More studies need to examine associations with those environmental factors thought to contribute to obesogenic environments. There needs to be more development in theories that conceptualise the relationship between environmental factors and dietary intakes.

Socioeconomic status, environmental and individual factors, and sports participation

PURPOSE To examine the contribution of neighborhood, household, and individual factors to socioeconomic inequalities in sports participation in a multilevel design. METHODS Data were obtained by a large-scale postal survey among a stratified sample of the adult population (age 25-75 yr) of Eindhoven (the fifth-largest city of the Netherlands) and surrounding areas, residing in 213 neighborhoods (N = 4785; response rate 64.4%). Multilevel logistic regression analyses were performed with sports participation as a binary outcome (no vs yes); that is, respondents not doing any moderate- or high-intensity sports at least once a week were classified as nonparticipants. RESULTS Unfavorable perceived neighborhood factors (e.g., feeling unsafe, small social network), household factors (material and social deprivation), and individual physical activity cognitions (e.g., negative outcome expectancies, low self-efficacy) were significantly associated with doing no sports and were reported more frequently among lower socioeconomic groups. Taking these factors into account reduced the odds ratios of doing no sports among the lowest educational group by 57%, from 3.99 (95% CI, 2.99-5.31) to 2.29 (95% CI, 1.70-3.07), and among the lowest income group by 67%, from 3.02 (95% CI, 2.36-3.86) to 1.66 (95% CI, 1.22-2.27). CONCLUSIONS A combination of neighborhood, household, and individual factors can explain socioeconomic inequalities in sports participation to a large extent. Interventions and policies should focus on all three groups of factors simultaneously to yield a maximal reduction of socioeconomic inequalities in sports participation.

Socioeconomic Position at Different Stages of the Life Course and Its Influence on Body Weight and Weight Gain in Adulthood: A Longitudinal Study With 13‐Year Follow‐up

Socioeconomic inequalities in body weight have been demonstrated in numerous cross‐sectional studies; however, little research has investigated these inequalities from a life course and longitudinal perspective. We examined the association between child‐ and adulthood socioeconomic position (SEP) and BMI and overweight/obesity in 1991 (baseline) and changes in BMI and the prevalence of overweight and obesity between 1991 and 2004. Data from the 1991 and 2004 waves of the longitudinal Dutch GLOBE study were used. Participants (n = 1,465) were aged 40–60 years at baseline. BMI was calculated from self‐reported height and weight collected by postal questionnaire. Retrospective recall of fathers occupation was used as childhood socioeconomic indicator, and adulthood SEP was measured by the occupation of the main income earner of the household. The findings showed that among women, childhood SEP exerted a greater influence on body weight than SEP in adulthood: at baseline, women from disadvantaged backgrounds in childhood had a higher BMI and were more likely to be overweight or obese, and they gained significantly more weight between baseline and follow‐up. In contrast, adult SEP had a greater impact than childhood circumstances on mens body weight: those from disadvantaged households had a higher mean BMI and were more likely to be overweight or obese at baseline, and they gained significantly more weight between 1991 and 2004. The findings suggest that exposure to disadvantaged circumstances at critically important periods of the life course is associated with body weight and weight gain in adulthood. Importantly, these etiologically relevant periods differ for men and women, suggesting gender‐specific pathways to socioeconomic inequalities in body weight in adulthood.

Taking up cycling after residential relocation: Built environment factors

BACKGROUND To successfully stimulate cycling, it is necessary to understand the factors that facilitate or inhibit cycling. Little is known about how changes in the neighborhood environment are related to changes in cycling behavior. PURPOSE This study aimed to identify environmental determinants of the uptake of cycling after relocation. METHODS The RESIDential Environment Project (RESIDE) is a longitudinal natural experiment of people moving into new housing developments in Perth (Western Australia). Self-reported usual transport and recreational cycling behavior, as well as self-reported and objective built environmental factors were measured before and after residential relocation. Participants who did not usually cycle at baseline in 2003-2004 were included in the study. Logistic regression models were used to relate changes in built environmental determinants to the probability of taking up cycling after relocation (2005-2006). Analyses were carried out in 2010-2011. RESULTS At baseline, 90% (n=1289) of the participants did not cycle for transport and 86% (n=1232) did not cycle for recreation. After relocation, 5% of the noncyclists took up transport-related cycling, and 7% took up recreational cycling. After full adjustment, the uptake of transport-related cycling was determined by an increase in objective residential density (OR=1.54, 95% CI=1.04, 2.26) and self-reported better access to parks (OR=2.60, 95% CI=1.58, 4.27) and other recreation destinations (OR=1.57, 95% CI=1.12, 2.22). Commencing recreational cycling mostly was determined by an increase in objective street connectivity (OR=1.20, 95% CI=1.06, 1.35). CONCLUSIONS Changes in the built environment may support the uptake of cycling among formerly noncycling adults.

Household and food shopping environments: do they play a role in socioeconomic inequalities in fruit and vegetable consumption? A multilevel study among Dutch adults.

Background: Fruit and vegetables are protective of a number of chronic diseases; however, their intakes have been shown to vary by socioeconomic position (SEP). Household and food shopping environmental factors are thought to contribute to these differences. To determine whether household and food shopping environmental factors are associated with fruit and vegetable (FV) intakes, and contribute to socioeconomic inequalities in FV consumption. Methods: Cross-sectional data were obtained by a postal questionnaire among 4333 adults (23–85 years) living in 168 neighbourhoods in the south-eastern Netherlands. Participants agreed/disagreed with a number of statements about the characteristics of their household and food shopping environments, including access, prices and quality. Education was used to characterise socioeconomic position (SEP). Main outcome measures were whether or not participants consumed fruit or vegetables on a daily basis. Multilevel logistic regression models examined between-area variance in FV consumption and associations between characteristics of the household and food shopping environments and FV consumption. Results: Only a few household and food shopping environmental factors were significantly associated with fruit and vegetable consumption, and their prevalence was low. Participants who perceived FV to be expensive were more likely to consume them. There were significant socioeconomic inequalities in fruit and vegetable consumption (ORs of not consuming fruit and vegetables were 4.26 and 5.47 among the lowest-educated groups for fruit and vegetables, respectively); however, these were not explained by any household or food shopping environmental factors. Conclusions: Improving access to FV in the household and food shopping environments will only make a small contribution to improving population consumption levels, and may only have a limited effect in reducing socioeconomic inequalities in their consumption.

Area variation in recreational cycling in Melbourne: a compositional or contextual effect?

Objective: To examine whether compositional and/or contextual area characteristics are associated with area socioeconomic inequalities and between-area differences in recreational cycling. Setting: The city of Melbourne, Australia. Participants: 2349 men and women residing in 50 areas (58.7% response rate). Main outcome measure: Cycling for recreational purposes (at least once a month vs never). Design: In a cross-sectional survey participants reported their frequency of recreational cycling. Objective area characteristics were collected for their residential area by environmental audits or calculated with Geographic Information Systems software. Multilevel logistic regression models were performed to examine associations between recreational cycling, area socioeconomic level, compositional characteristics (age, sex, education, occupation) and area characteristics (design, safety, destinations or aesthetics). Results: After adjustment for compositional characteristics, residents of deprived areas were less likely to cycle for recreation (OR 0.66; 95% CI 0.43 to 1.00), and significant between-area differences in recreational cycling were found (median odds ratio 1.48 (95% credibility interval 1.24 to 1.78). Aesthetic characteristics tended to be worse in deprived areas and were the only group of area characteristics that explained some of the area deprivation differences. Safety characteristics explained the largest proportion of between-area variation in recreational cycling. Conclusion: Creating supportive environments with respect to safety and aesthetic area characteristics may decrease between-area differences and area deprivation inequalities in recreational cycling, respectively.

Why some walk and others don't: exploring interactions of perceived safety and social neighborhood factors with psychosocial cognitions

Although physical activity is often believed to be influenced by both environmental and individual factors, little is known about their interaction. This study explores interactions of perceived safety and social neighborhood factors with psychosocial cognitions for leisure-time walking. Cross-sectional data were obtained from residents (age 25-75 years) of 212 neighborhoods in the South-East of the Netherlands, who participated in the Dutch GLOBE study in 2004 (N = 4395, survey response 64.4%). Direct associations of, and interactions between perceived neighborhood safety, social neighborhood factors (social cohesion, social network and feeling at home) and psychosocial cognitions (attitude, self-efficacy, social influence and intention) on two outcomes of leisure-time walking [yes versus no (binary), and among walkers: minutes per week (continuous)] were analyzed in multilevel regression models. The association between attitude and participating in leisure-time walking was stronger in those who felt less at home in their neighborhood. Social influence and attitude were stronger associated with participation in leisure-time walking in those who sometimes felt unsafe in their neighborhood. A positive intention was associated with more minutes walked in those who perceived their neighborhood as unsafe among those who walked. Only limited support was found for interactions between neighborhood perceptions and psychosocial cognitions for leisure-time walking.

How many walking and cycling trips made by elderly are beyond commonly used buffer sizes: results from a GPS study.

In choosing appropriate buffer sizes to study environmental influences on physical activity, studies are hampered by insufficient insight into the distance elderly travel actively. This study aims at getting insight into the number of trips walked and cycled within various buffer sizes using GPS measures. Data were obtained from the Elderly And their Neighborhood study (Spijkenisse, the Netherlands (2011-2012)). Trip length and mode of transport were derived from the GPS data (N=120; total number of trips=337). Distance decay functions were fitted to estimate the percentage of trips to grocery stores within commonly used buffer sizes. Fifty percent of the trips walked had a distance of at least 729m; for trips cycled this was 1665m. Elderly aged under 75 years and those with functional limitations walked and cycled shorter distances than those over 75 years and those without functional limitations. Males cycled shorter distances than females. Distance decay functions may aid the selection of appropriate buffer sizes, which may be tailored to individual characteristics.