- Research article
- Open Access
- Open Peer Review
Lifestyle physical activity among urban Palestinians and Israelis: a cross-sectional comparison in the Palestinian-Israeli Jerusalem risk factor study
© Merom et al; licensee BioMed Central Ltd. 2012
- Received: 12 September 2011
- Accepted: 30 January 2012
- Published: 30 January 2012
Urban Palestinians have a high incidence of coronary heart disease, and alarming prevalences of obesity (particularly among women) and diabetes. An active lifestyle can help prevent these conditions. Little is known about the physical activity (PA) behavior of Palestinians. This study aimed to determine the prevalence of insufficient PA and its socio-demographic correlates among urban Palestinians in comparison with Israelis.
An age-sex stratified random sample of Palestinians and Israelis aged 25-74 years living in east and west Jerusalem was drawn from the Israel National Population Registry: 970 Palestinians and 712 Israelis participated. PA in a typical week was assessed by the Multi-Ethnic Study of Atherosclerosis (MESA) questionnaire. Energy expenditure (EE), calculated in metabolic equivalents (METs), was compared between groups for moderate to vigorous-intensity physical activity (MVPA), using the Wilcoxon rank-sum test, and for domain-specific prevalence rates of meeting public health guidelines and all-domain insufficient PA. Correlates of insufficient PA were assessed by multivariable logistic modeling.
Palestinian men had the highest median of MVPA (4740 METs-min*wk-1) compared to Israeli men (2,205 METs-min*wk-1 p < 0.0001), or to Palestinian and Israeli women, who had similar medians (2776 METs-min*wk-1). Two thirds (65%) of the total MVPA reported by Palestinian women were derived from domestic chores compared to 36% in Israeli women and 25% among Palestinian and Israeli men. A high proportion (63%) of Palestinian men met the PA recommendations by occupation/domestic activity, compared to 39% of Palestinian women and 37% of the Israelis. No leisure time PA was reported by 42% and 39% of Palestinian and Israeli men (p = 0.337) and 53% and 28% of Palestinian and Israeli women (p < 0.0001). Palestinian women reported the lowest level of walking. Considering all domains, 26% of Palestinian women were classified as insufficiently active versus 13% of Palestinian men (p < 0.0001) who did not differ from the Israeli sample (14%). Middle-aged and elderly and less educated Palestinian women, and unemployed and pensioned Palestinian men were at particularly high risk of inactivity. Socio-economic indicators only partially explained the ethnic disparity.
Substantial proportions of Palestinian women, and subgroups of Palestinian men, are insufficiently active. Culturally appropriate intervention strategies are warranted, particularly for this vulnerable population.
- Physical Activity
- Physical Inactivity
- Public Health Recommendation
- Domestic Chore
- Insufficient Physical Activity
The growing burden of cardiovascular disease (CVD) in low-and middle-income countries has been extensively documented [1, 2]. Projections that are based solely on demographic shifts suggest that the Eastern Mediterranean region will experience the largest increase in ischemic and cardiovascular mortality in the world by 2020 . Within this region, urban Palestinians appear to be especially vulnerable. Compared with 20 population-based centers that participated in the World Health Organization MONICA program in the early to mid 90s, Palestinians from east Jerusalem showed the highest incidence both of total coronary heart disease (CHD) and non-fatal myocardial infarction .
Effective prevention and control of CVD among Palestinians requires knowledge of their CVD risk factors. A cross-sectional study conducted between 1996 and 1998 documented alarming high prevalence rates of obesity (42%), hypertriglyceridemia (35%), and low HDL-cholesterol (61%) among urban Palestinians living in the city of Ramallah, whereas the corresponding rates in a nearby rural community were 28%, 23% and 28% . The reported prevalence of type 2 diabetes was 12% in both communities, while 21% had hypertension and 17% were classified as having the metabolic syndrome . A much higher prevalence of the metabolic syndrome (33%) was documented in 2005 for an east Jerusalem sample by the same criteria .
Physical activity (PA) is an established key modifiable factor of all these conditions [6, 7]. Data on PA levels of Palestinians are, however, limited. The above rural and urban communities surveyed near Ramallah may be the only available source . Based on occupation title, 67% of urban men were classified into sedentary and low PA occupations (i.e., clerical, sales, and included retired/unemployed), compared with 43% of rural men. No other PA domain was reported for men. Both urban and rural women, who were asked only about their leisure-time exercise, reported high proportions of no PA (60% and 56%, respectively) .
These data provide only gross classifications with no dimension of quantification (i.e., intensity, frequency, and duration). Consequently, the proportion of Palestinians that achieved the recommended 'dose' of PA for the prevention of CHD and its associated risk factors remained unknown. Also, a narrow focus on one domain of PA may lead to erroneous estimation of overall physical inactivity and the incorrect identification of the population at risk. This is of particular relevance to minority women [9, 10] and socioeconomically disadvantaged groups in both developing  and developed countries [12, 13] where low participation in leisure time PA is offset by higher levels of PA at work, home, or through active transport. Furthermore, PA in adults is influenced by a diverse range of factors including age, gender, socio-economic status (i.e., education, occupation or income), and biological, psychological, cultural, social and environmental factors [14, 15]. The influence of these, individually or in combination, on the patterning of Palestinians' PA has not yet been studied.
This study is intended to address these issues in order to direct public health intervention programs for urban Palestinians. Its aims are: i) to describe and quantify sources of health-enhancing PA of urban Palestinians considering all PA domains; ii) to determine the prevalence of insufficient PA according to public health recommended thresholds; and iii) to identify the socio-demographic correlates of insufficient activity. In doing so, we compared urban Palestinians from east Jerusalem to Israeli residents of the city whose CHD incidence and mortality rates were shown to be substantially lower than those of the Palestinians, [3, 16]. We applied a PA instrument designed to reflect ethnic differences in epidemiological investigations .
Following the Six-Day War Israel annexed east Jerusalem. Its Arab residents received the legal status of permanent residents of Israel, providing coveted access to the job market, social security and health insurance and are recorded in the national population registry. The Jerusalem Palestinian-Israeli MERC Risk Factor Study was designed to assess differences in the distribution of cardiovascular risk factors between urban Palestinians and Israelis, following the evidence for disparity in the incidence of myocardial infarction between these two populations .
An age-sex-stratified random sample of 2000 Palestinian residents from east Jerusalem and 2000 Israeli residents from Jerusalem aged 25-74 (comprising 200 individuals in each sex-age decile in each group) was drawn from the Israel national population registry. Participants were recruited between 2004 and 2008 by a letter of invitation and follow-up phone calls. Ineligibility criteria included inability to provide informed consent, being institutionalized, housebound, pregnant or within 3 months of giving birth and a serious health disorder (such as metastatic cancer or end-stage renal disease). Of the Israeli sample 89.6% were eligible and 29.5% could not be located. The corresponding figures for the Palestinians were 88.4% and 25.1%. The response rates from all located eligible residents were 76.7% for Palestinians and 53.7% for Israelis.
Participants (971 Palestinians and 712 Israelis) attended two separate research centers in east and west Jerusalem, for clinical measurements and a face-to-face interview using standardized methods. Interviews, physical measurements and blood and urine collection were carried out on the same day, and were scheduled by appointments restricted to the morning hours (as participants were in the fasting state) throughout the year, except during weekends and holidays. The interview included socio-demographic characteristics (e.g. age, gender, and marital status, country of birth, education, employment status, occupation type, religion and degree of religiosity) and information about health status, family history, PA, diet, smoking and alcohol intake. The interviews were conducted in Arabic and Hebrew by trained interviewers.
All participants provided signed informed consent. The study was authorized by the St Joseph Hospital and Hadassah-Hebrew University Medical Center Ethics (Helsinki) Committees.
Physical activity assessment, measures and data treatment
The Multi-Ethnic Study of Atherosclerosis (MESA) questionnaire, which was adapted from the Cross-Cultural Activity Participation Study (CAPS), was used . The questionnaire was designed to assess PA pattern of a typical week in the past month. The questionnaire asked about 28 specific activities of different effort levels (i.e., light, moderate and hard) in the domains of work including volunteer work, home (i.e., household and outdoor chores and caring for children/adults), transport (i.e., walking to destination), and leisure (i.e., walking for recreation/exercise, dancing, sports activities, and conditioning activities). For each activity participants were asked to estimate the number of days in a week and the time per day spent doing the activity.
To estimate energy expenditure (EE) in a typical week, minutes of each activity were multiplied by its frequency and by its metabolic equivalent (MET). The same MET values as in the MESA PA scoring manual were used . These were obtained from a compendium of PA . Following accepted cut-off points, the MET-minutes were classified into light (< 3 METs), moderate (3-6 METs), and vigorous (> 6 METs) intensity categories. Activities of at least moderate intensity are recognized as health-enhancing .
The proportions of domain specific adequate PA were computed using the public health recommendations . A person who met the following criteria was considered adequately active: 3 or more days of vigorous activities a week for at least 20 min per day, or 5 or more days of moderate intensity activities a week for at least 30 min per day, or 5 or more days of any combination of moderate, or vigorous intensity activities a week. The cut-off for EE of combined intensities, 600 MET-minutes per week, reflects the minimum health-enhancing threshold that was used in international PA surveys that measured all domains [21–23]. The proportions of adequate PA at work and home domains were combined to reflect a "constrained domain" that is not amenable to change; intensity is largely dictated by the nature of the occupation or the chores needed to be done, and the time spent in these domains is inter-dependent; a full time homemaker can be the person's single occupation or an addition to a part-time or full-time job.
Insufficient PA was calculated by summation of the minutes/week of vigorous intensity (5 items) and of moderate intensity (9 items) and MET-minutes of moderate to vigorous PA, hereafter defined as MVPA, from all domains (14 items, see Additional file 1: Table S2a). The combined weekly threshold for insufficient PA was the inverse of the minimal recommendation for adequate PA, that is not achieving at least 150 min/week of at least moderate intensity activity during at least 5 occasions; or 60 min of vigorous intensity at least 3 occasions; or < 600 MVPA MET-minutes a week over at least 5 occasions.
Additional estimations of health-enhancing EE and insufficient PA were derived after excluding domestic indoor chores and caring activities (i.e., for children) as scant evidence exists to support protective effect of these activities for CHD [6, 24]. We also determined the proportion who reported no leisure time PA (i.e., zero MET-minutes) to allow comparison with other studies, and the proportion of those who reported walking for leisure/exercise due to the public health significance of walking .
Since estimates were generated between 2004 and 2008 we examined for temporal change before pooling the data from all years. There were no significant yearly differences in the mean MVPA of in the physical inactivity estimates among Palestinians and Israelis.
Twenty participants (1.0%) with inadequate PA data were excluded from the analysis (18 individuals who did not complete the PA interview and 2 whose average PA time was ≥ 25 h/day and so were considered having provided an invalid report on MESA PA questions), leaving 961 Palestinians and 701 Israelis for this analysis. This sample size is sufficient to detect ethnic differences in all-domain insufficient PA as low as 6% (type I and type II errors of 5% and 20%, respectively) assuming the international mean of 18%, or 8-10% differences in gender-specific ethnic comparisons, assuming the international means of 15% and 20% for men and women, respectively .
The validity of the estimated MVPA MET-minutes and vigorous MET-minutes was examined against a criterion of hand grip strength measured in kg using a hydraulic hand dynamometer (Fabrication Enterprises Inc., Irvington NY 10533, USA). The Spearman's rho for MVPA in Palestinian men and women were 0.21 and 0.34 (p < 0.0001), respectively and for Israeli men and women the correlations were 0.16 (p = 0.002) and 0.20 (p < 0.0001), respectively. The coefficients were somewhat higher for vigorous MET-minutes among Palestinian and Israeli men (Spearman's rho were 0.26 and 0.20, p < 0.0001, respectively) and Israeli women (r = 0.21, p < 0.0001) but not for Palestinian women (r = 0.18, p < 0.0001). The questionnaire was not tested for its repeatability.
All analyses are gender specific and are weighted. Post-stratified weights were calculated based on the gender-by-age distributions of Palestinian and Israeli residents of Jerusalem . The statistical significance of differences in MET-minutes or weekly minutes was determined by the Wilcoxon rank-sum test, appropriate for two independent samples, due to their skewed distributions. Differences in sample characteristics and proportions of insufficient PA across population sub-groups, as well as ethnic differences within socio-demographic strata, were determined using the Pearson chi-square tests. Multivariable logistic regression models were used to identify the socio-demographic variables (independent variables) that were independently associated with all-domain insufficient PA, among Palestinians and Israelis. Age was collapsed to young (25-44), middle-aged (45-64) and elderly (65+). Marital status compared married/cohabiting to not-cohabitating (i.e., single, divorced and widowers). Education, collapsed to three categories (i.e., some high school or less, high-school or technical certificate, and university degree). Work status was collapsed differently in each gender due to small numbers in some categories; men were categorized as employed, pensioners or 'other' (e.g., unemployed, homemakers and students) and women were categorized as employed, homemakers and 'others' (e.g., unemployed, pensioners). The degree of religiosity was categorized as orthodox (including ultra-orthodox), traditional and secular. Due to small number of secular Palestinian women, the last two categories were combined in women. In combined Palestinian and Israeli gender-specific models we tested for effect modification between socio-demographic and ethnic variables, using the type 3 Wald χ 2 statistics. Statistical significant was determined as p-value ≤ 0.05. Statistical analyses were conducted using SAS version 9.2.
Gender-specific characteristics of the Palestinian and Israeli samples
Palestinian (n = 512)
Israeli (n = 370)
Palestinian (n = 449)
Israeli (n = 331)
> = 65
< = Primary
Some High School
Work status *
There were noticeable ethnic differences for most socio-demographic characteristics, with the exception of age. Among men, higher proportions of Palestinians were married, had primary school education or less or were homemakers compared to Israelis, and a low proportion of Palestinian men defined themselves as secular compared to Jewish men. Among women, the majority of Palestinians were homemakers with only a small proportion reporting gainful employment; a higher proportion of Palestinians had primary school education or less compared to very low proportion of Israelis, and very small proportion of Palestinian women classified themselves as "secular" compared to Jewish women.
Energy expenditure levels (weighted) of health enhancing physical activity§ by gender and ethnicity
Palestinian (n = 512)
Israeli (n = 370)
EE (MET-min * wk -1 )
P < 0.0001
P < 0.0001
P < 0.0001
P < 0.0001
Palestinian (n = 449)
Israeli (n = 331)
EE (MET-min*wk- 1 )
P < 0.0001
In the leisure domain, walking was the most prevalent mode of activity in all groups (data not shown), although a gender by ethnic interaction was evident; among men, a higher proportion of Palestinians than Israelis reported walking for exercise/recreation (53% vs 43%, p < 0.004) and their mean minutes of walking per week was higher (153 vs. 84 min/week, p = 0.002). This difference was offset by higher participation in other sports activities reported by Israelis compared to Palestinians (72 vs. 47 min per week, p < 0.0001), resulting in a nonsignificant difference in EE in the leisure domain. By contrast, among women, walking was less prevalent among Palestinians than Israelis (42% vs. 53%, p < 0.0001). The gender differences in walking levels among Palestinians were substantial: 11% more men walked for exercise than women (p = 0.0007) and on average men walked almost an hour (55 min) more per week than women.
Domain-specific adequate PA, leisure-time inactivity and all-domain insufficient PA
Gender-specific ethnic differences in adequate PA are shown in Additional file 1: Figure S2A. Among men, the proportion of Palestinians who were adequately active at work was significantly higher than Israelis, whereas in the transport domain a significant greater proportion of Israelis than Palestinians were adequately active. However, the prevalence of physical inactivity at leisure and insufficient all domain PA did not differ significantly (also after adjustment for socio-demographic differences; adjusted odds ratio (OR) = 0.76, 95% CI: 0.47-1.24).
Among women, a similar proportion of Palestinians and Israelis achieved adequate PA at work/home, but the proportions of Palestinian women classified at adequate PA at the transport and leisure domains were much lower than those reported for Israeli women. The prevalence of leisure-time inactivity and all-domain insufficient PA among Palestinian women was twice as high as that of Israelis, and almost triple the prevalence in Israeli women when indoor chores and caring were excluded (47% and 18%, p < 0.0001). After adjustment for socio-demographic differences, Palestinian women were twice as likely to be classified as being physically inactive by all domains as Israeli women (adjusted OR = 2.3, 95% CI: 1.3-3.8).
Correlates of inactive lifestyle among Palestinians and Israelis
Ethnic and gender-specific differences in socio-demographic correlates of all-domain insufficient PA without exclusion
Palestinian men (N = 512)
Israeli men (N = 370)
AORa (95% CI)
AOR (95% CI)
P (χ2) = 0.187
P (χ2) = 0.38
P (χ2) = 0.33
P (χ2 = 0.60
1.25 (0.52, 2.98)
1.27 (0.75, 2.14)
2.05 (0.44, 9.54)
0.90 (0.28, 2.83)
P (χ2) = 0.32
P (χ2) = 0.33
P (χ2) = 0.12
P (χ2 = 0.07
2.35 (0.42, 13.2)
1.83 (0.95, 3.55)
P (χ2) = 0.99
P (χ2) = 0.57
P (χ2) = 0.86
P (χ2 = 0.99
1.09 (0.45, 2.65)
0.99 (0.54, 1.83)
1.37 (0.47, 3.85)
0.98 (0.55, 1.77)
P (χ2) = 0.09
P (χ2) = 0.11
P (χ2) = 0.92
P (χ2 = 0.24
1.66 (0.41, 6.78)
0.59 (0.17, 2.09)
2.45 (0.81, 7.44)
1.60 (0.82, 3.10)
P (χ2 = 0.77
P (χ2) = 0.68
P (χ2) = 0.38
P (χ2 = 0.06
0.94 (0.41, 2.16)
2.06 (1.11, 3.81)
0.64 (0.12, 3.54)
1.63 (0.88, 3.01)
Palestinian women (N = 449)
Israeli women (N = 331)
P (χ2) < 0.0001
P (χ2) < 0.0001
P (χ2) = 0.38
P (χ2) = 0.043
2.38 (1.22, 4.62)
0.54 (0.29; 1.00)
11.6 (3.21, 42.0)
1.39 (0.58, 3.35)
P (χ2) = 0.028
P (χ2) = 0.82
P (χ2) = 0.037
P (χ2) = 0.014
0.91 (0.41, 2.03)
2.12 (1.16, 3.88)
P (χ2) = 0.026
P (χ2) = 0.023
P (χ2) = 0.11
P (χ2) = 0.07
1.30 (0.41, 2.74)
0.47 (0.23, 0.96)
0.14 (0.03, 0.71)
0.53 (0.28, 1.01)
P (χ2) = 0.78
P (χ2) = 0.067
P (χ2) = 0.11
P (χ2) = 0.10
0.32 (0.11, 0.96)
1.66 (0.78, 3.52)
0.04 (0.01, 2.33)
0.57 (0.25, 1.31)
P (χ2) = 0.49
P (χ2) = 0.46
P (χ2) = 0.46
P (χ2) = 0.022
0.79 (0.43, 1.47)
2.11 (1.12, 4.00)
Among Palestinian women there was a strong positive association of age with insufficient activity that was not evident in Israeli women (significant ethnic interaction). An association with marital status in Palestinian women did not persist after adjustment for age, whereas married Israeli women were significantly more inactive (significant ethnic interaction). Among Palestinian women there was a strong association between working status and educational level. Thus, after adjusting for the effect of the covariates, being a Palestinian housewife was significantly associated with a lower prevalence of insufficient activity compared to women in paid jobs, and women with university degrees were substantially less likely to be insufficiently active than women with less than high-school education. Israeli women showed no significant associations with these variables, and there was a significant ethnic interactions. Israeli orthodox women were significantly less inactive than the non-orthodox, similar to the trend seen for Israeli men, but not in Palestinian men or women.
In a combined model of Palestinian men and women (data not shown) there were significant gender disparities in the associations of all-domain insufficient PA with age and education (p ≤ 0.05 for the interactions). The prevalence of insufficient PA among middle-aged women was twice that of Palestinian men in the corresponding age group, while in the oldest age group it was almost three-fold that of men. The association between education and insufficient PA differed strongly at the highest education level, where university educated women were less inactive than men (p = 0.02 for the gender-by-education interaction). Palestinian women in paid jobs were more likely to be insufficiently active, whereas for men it was the reverse (p = 0.10 for interaction), most likely reflecting the type of work in which each gender engaged and the strong contribution of domestic chores among Palestinian housewives.
After excluding domestic indoor chores and caring activities from the calculation of insufficient PA (Additional file 1: Table S3a), the associations between all covariates and this estimate remained the same among Palestinian men but substantial changes were noted in other groups. Palestinian housewives were more likely to be inactive than Palestinian women in paid job and the associations with age and education were attenuated. In the Israeli population the association between insufficient PA and marital status were enhanced in both genders; married Israelis were more likely to be inactive than non-cohabitating and an association with work status was evident (P = 0.006). Further, orthodox Israelis were no longer more active than the non-orthodox or secular.
This study provides important information relevant to the rapid urbanization of Palestinians in the West Bank, a process that has been linked to changes in PA pattern in the non-Western world [2, 27]. This research identified urban Palestinian women as being at the highest risk of physical inactivity. Accumulation of health-enhancing EE occurs primarily by domestic indoor chores and care for children, but these women had the highest proportion of leisure time inactivity and the lowest proportion of compliance with the recommended guidelines either by travel or at leisure. High educational attainment in Palestinian women was independently protective against physical inactivity. In contrast to women, Palestinian men had the highest level of health-enhancing EE of all groups mainly due to high EE at work of vigorous-intensity. Their level of compliance with public health recommendations in each domain was markedly superior to Palestinian women. We found no significant differences in levels of insufficient PA between Palestinian and Israeli men, despite differences in the pattern of PA. By contrast, there were substantial differences both in the pattern and levels of insufficient PA between Palestinian and Israeli women to the detriment of the Palestinians.
The PA pattern of Palestinian men was similar to that of urban populations in other developing countries, including China [28, 29], Vietnam , and Nigeria , where the prevalence of adequate occupational and travel PA exceeded the prevalence of adequate leisure-time PA. This, however, was not the case for Palestinian women; the proportion of Palestinian women who complied with public health recommendations in the travel domain was low as their compliance in the leisure-time domain. This, plus the fact that most Palestinian women do not presently work outside their home, contributed to a greater gender disparity within the Palestinian population than those reported in urban populations in other developing countries. In Ho Chi Min City, Vietnam and Tianjin, China, women were more active than men due to their high level of travel-related PA [29, 30]. The low level of leisure-time walking reported by Palestinian women is important given that walking is the most accessible form of PA. Walking was shown to reduce PA inequality within population sub-groups  and over time . Indeed, the lack of a significant difference between Palestinian and Israeli men in adequate leisure-time PA can be attributed to walking. The reason(s) Palestinian women do not engage in daily walking for any purpose may be culture bound and should be further explored.
Is the prevalence of insufficient PA among Palestinians high?
Caution is needed when comparing different estimates of PA prevalence because of differences between studies in questionnaires, scoring protocol and sample scope (i.e., age range, urban vs. all state). The most appropriate comparisons might be from international surveys in which all PA domains were assessed and the prevalence criteria were based on public health guidelines [21–23]. In the World Health survey of 51 mainly developing countries, the average estimates of physical inactivity (that corresponds with our definition of insufficient PA) for subjects aged 18-69 were 15% for men and 20% for women. In three Muslim countries, the United Arab Emirates (UAE), Tunisia and Pakistan, the rates of physical inactivity among men were 39.5%, 11.5% and 13.5%, respectively (compared to 12.8% for Palestinian men), whilst among women they were 59%, 18.9% and 27.6%, respectively (vs 26.0% in Palestinian women). The UAE sample was mostly urban (89%) and therefore more comparable to our study. In another international PA survey, 42.8% of men and 37.3% of women from Saudi Arabia were classified as inactive . These comparisons suggest that urban Palestinians from east Jerusalem, in particular men, are more active than other Arab urban populations, but as active as African populations or the global population.
In developed countries, leisure time is generally assumed to provide the best representation of population variations in PA and therefore most surveys only assess this domain . Thus, to enable a comparison to previous studies we also considered inactivity at leisure-time only. In the Palestinian population, 42% and 54% of men and women did not engage in any leisure-time PA, and 79% and 83% of men and women, respectively, were not adequately active at leisure (Figure 2). These rates were close to those reported for Israeli Arabs, where 72% and 84% of men and women, respectively, did not engage in adequate leisure-time PA . Studies of immigrants to developed countries also highlighted the high prevalence of leisure time inactivity among Arab populations. In Australia, immigrants from the Middle East were 2.6 times more likely not to engage in any exercise, including walking, compared to Australian-born men and women . In the United States, in one of the largest Middle Eastern Arab communities, the majority of participants (~80%) were classified as not engaging in any regular PA . The authors stated that a greater proportion of inactivity was reported among women but gender specific estimates were not provided . This may indicate that, in general, large proportions of Arab populations do not engage in leisure-time PA, but as observed here, there may be some compensation by increased activity in other domains.
Correlates of insufficient PA and ethnic differences
Reviews of the Correlates and correlates of PA in populations are consistent in showing disparity by gender (men are more active than women), age (older people are less active than younger) and by socio-economic indicators (people of high SES are more active) , particularly evident for education . Yet many of these associations were largely confined to the leisure time domain . In this respect our study adds to a better understanding of PA influences considering all domains of PA. We found that the gender and age relationships with insufficient PA differed by ethnicity. Among Palestinian the linear association with age and the gender disparity were consistent with the evidence from the above systematic reviews. Among Israelis, however, women reported higher levels of leisure time PA, whereas the systematic evidence  indicates that men were more active at leisure than women. Additionally, there were no differences in the prevalence of all-domain insufficient PA among Israeli men and women, also after the exclusion of indoor domestic chores and caring for children. One possible explanation may be the nature of CAPS questionnaire which was developed specifically for women , and therefore prompt leisure-time activities that are more common among women, (e.g. dance, calisthenics) as well as household chores common to women such as caring, and possibly neglected leisure-time activities and chores that are more common to men. By contrast the systematic evidence that showed a gender difference in leisure-time activities was based on surveillance measures of a generic question on participation in moderate and vigorous intensity activities with no prompting. As men report more vigorous-intensity activity than women they score higher on these measures.
We found no association with education among men, which can be explained by the comprehensive PA measure. Support for this is found in studies from the United States and Australia in which inclusion of occupational and household activities eliminated SES differentials in PA among men but not among women [12, 13]. Further, in some Asia-Pacific countries (i.e., Malaysia, Philippines and Nauru), education was not associated with any domains of PA, including leisure . In our study, however, education mitigated the ethnic disparity in insufficient PA among women, but only for those with tertiary education, whereas at the lower levels of education ethnic disparity persisted. This is in line with several studies from the United States that found that SES indicators could not fully explain ethnic/racial disparity in leisure time physical inactivity [38–41]. This highlights the possible role of other factors, such as social, cultural or environmental, in explaining the disparities in PA between Palestinian and Israeli women, emphasized also by the striking disparity between Palestinian women and men.
Previous PA surveys of the Israeli population found that secular Israeli Arabs and Jews reported greater participation in leisure-time PA compared to religious or traditional people. The association appeared to be stronger among Arabs (adjusted OR = 1.5) than among Jews (adjusted OR = 1.16) . This is partly corroborated here in a combined multivariable model of all men (data not shown) where for leisure-time PA secular men were more likely to be adequately active than the orthodox (adjusted OR = 1.5, 95% CI: 1.14-2.81), evident both in Israelis (adjusted OR = 1.8, 95% CI: 1.0-2.7) and Palestinians (adjusted OR = 1.5, 95% CI: 0.5-4.9) and for leisure-time inactivity particularly in women. We found, however, that when all domains of PA were assessed, secular and traditional Jews were more likely to be insufficiently active than orthodox Jews, who had the lowest proportion of insufficiently active individuals. This unexpected finding was mainly attributed to the high proportion (51%, data not shown) of orthodox/ultraorthodox Jews who achieved adequate PA by the travel domain alone. The low car ownership of the orthodox, as well as not traveling at all on the Sabbath, are possible explanations for the added walking among the orthodox Jews.
Public health recommendations on the benefits of PA and CHD are derived from longitudinal studies that primarily measured leisure-time types of PA, with only few studies assessing occupational and transport-related PA . Extrapolating the recommendation to the household domain is therefore without empirical support and is problematic as it may overestimate PA levels. This has been acknowledged also in multidomain international studies . Further, the exclusion of domestic activities changed the pattern of association between PA and some correlates. Among Palestinian women housewives were no longer more active than women in paid jobs and the direction of the association was similar to that reported by Israeli women and consistent with findings of systematic reviews. Excluding domestic chores also reversed differentials in insufficient activity by religiosity, as noted above, among Israeli men and women and enhanced the differential by marital status in Israeli men and women and modestly among Palestinian men. Our finding support a detrimental effect of marriage on an active lifestyle which was also confirmed in the most updated systematic review .
Although a strength of this study is the assessment of PA using a questionnaire designed for ethnically and culturally diverse populations (i.e., item-based, comprehensive) , the limitation of self-reported measures in term of accuracy are well known. The Cross-Cultural Activity Participation questionnaire (i.e., the measure used in the MESA study), was developed for minority women in the United States , and its validity was only tested in a small sample of postmenopausal women . In our study the highest correlation with MVPA MET-minutes and hand grip strength was reported among Palestinian women. It may not have the same validity for men or for Israeli women. The inclusion of a wide range of moderate-intensity activities may increase measurement error. It has been shown that recall is better for vigorous intensity activity [44, 45], as was observed here between hand grip and vigorous MET-minutes. Additionally, measures that attempt to assess PA in all domains may suffer from over reporting . Thus, we cannot exclude the possibility that differential measurement errors existed between genders and ethnic groups. Further, while the sample had sufficient power to detect significant differences in insufficient PA between Palestinian and Israeli men and women, the study was underpowered to detect small differences in this estimate between small sub-groups, such as by marital status and education among Israeli men and women, respectively, and by employment status in Palestinian men. Finally, our response rates, particular among Israelis were not high. Post stratification weighting by gender and age cannot correct for other characteristics that are associated with PA, and therefore our estimate may be subject to non-response bias. For example, in comparison to the population we found that our sample over-represented Israeli women with a university education and under-represented those employed among Palestinians and Israelis of both genders.
This study identified urban Palestinian women, particularly middle-aged or older and with low educational attainment, to be at the highest risk of physical inactivity. Given the accessibility of walking, increasing daily walking for any purpose is likely to reduce their levels of physical inactivity and improve their health status. Socio-economic indicators only partially explained the ethnic disparity. Thus to guide public health interventions it will be essential to understand the environmental, social, and personal barriers to participation. A randomized controlled trial among obese Arab women in Israel that demonstrated a culturally-sensitive lifestyle intervention to be effective in improving PA levels and favorably affect the metabolic syndrome  could serve as a model in this regard.
This study was funded by the US-AID MERC (Middle Eastern Regional Cooperation) Program, grant number TA-MOU-01-M21-002. Thanks to Sanja Lujic, School of Medicine University of Western Sydney for statistical advice. DM is a Research Fellow supported by NHMRC project #571150.
- Yusuf S, Reddy S, Ounpuu S, Anand S: Global burden of cardiovascular diseases: part I: general considerations, the epidemiologic transition, risk factors, and impact of urbanization. Circulation. 2001, 104 (22): 2746-2753. 10.1161/hc4601.099487.View ArticlePubMedGoogle Scholar
- Yusuf S, Reddy S, Ounpuu S, Anand S: Global burden of cardiovascular diseases: part II: variations in cardiovascular disease by specific ethnic groups and geographic regions and prevention strategies. Circulation. 2001, 104 (23): 2855-2864. 10.1161/hc4701.099488.View ArticlePubMedGoogle Scholar
- Kark JD, Fink R, Adler B, Goldberger N, Goldman S: The incidence of coronary heart disease among Palestinians and Israelis in Jerusalem. Int J Epidemiol. 2006, 35 (2): 448-457.View ArticlePubMedGoogle Scholar
- Abdul-Rahim HF, Husseini A, Bjertness E, Giacaman R, Gordon NH, Jervell J: The metabolic syndrome in the West Bank population: an urban-rural comparison. Diabetes Care. 2001, 24 (2): 275-279. 10.2337/diacare.24.2.275.View ArticlePubMedGoogle Scholar
- Abu Sham'a RA, Darwazah AK, Kufri FH, Yassin IH, Torok NI: MetS and cardiovascular risk factors among Palestinians of East Jerusalem. East Mediterr Health J. 2009, 15 (6): 1464-1473.PubMedGoogle Scholar
- Berlin JA, Colditz GA: A meta-analysis of physical activity in the prevention of coronary heart disease. Am J Epidemiol. 1990, 132: 612-628.PubMedGoogle Scholar
- Pate RR, Pratt M, Blair SN, Haskell WL, Macera CA, Bouchard C, Buchner D, Ettinger W, Heath GW, King AC: Physical Activity and Public Health. A recommendation from the Center for Disease Control and Prevention and the American College of Sports Medicine. J Am Med Assoc. 1995, 273 (5): 402-407. 10.1001/jama.1995.03520290054029.View ArticleGoogle Scholar
- Abdul-Rahim HF, Holmboe-Ottesen G, Stene LC, Husseini A, Giacaman R, Jervell J, Bjertness E: Obesity in a rural and an urban Palestinian West Bank population. Int J Obes Relat Metab Disord. 2003, 27 (1): 140-146. 10.1038/sj.ijo.0802160.View ArticlePubMedGoogle Scholar
- Ainsworth BE, Irwin ML, Addy CL, Whitt MC, Stolarczyk LM: Moderate physical activity patterns of minority women: the cross-cultural activity participation study. J Womens Health Gend Based Med. 1999, 8 (6): 805-813. 10.1089/152460999319129.View ArticlePubMedGoogle Scholar
- Brownson RC, Eyler AA, King AC, Brown DR, Shyu YL, Sallis JF: Patterns and correlates of physical activity among US women 40 years and older. Am J Public Health. 2000, 90 (2): 264-270.View ArticlePubMedPubMed CentralGoogle Scholar
- Bauman EA, Cuevas F, Omar Z, Waqanivalu T, Phongsavan P, Keke K, Bhushan A: Cross-national comparison of socioeconomic differences in the prevalence of leisure-time and occupational physical activity, and active commuting in six Asia-Pasific countries. J Epidemiol Community Health. 2011, 65: 35-4312. 10.1136/jech.2008.086710.View ArticlePubMedGoogle Scholar
- Ford ES, Merritt RK, Heath GW, Powell KE, Washburn RA, Kriska A, Haile G: Physical activity behaviors in lower and higher socioeconomic status populations. Am J Epidemiol. 1991, 133 (12): 1246-1256.PubMedGoogle Scholar
- Salmon J, Owen N, Bauman A, Schmitz MK, Booth M: Leisure-time, occupational, and household physical activity among professional, skilled, and less-skilled workers and homemakers. Prev Med. 2000, 30 (3): 191-199. 10.1006/pmed.1999.0619.View ArticlePubMedGoogle Scholar
- Trost SG, Owen N, Bauman AE, Sallis JF, Brown W: Correlates of adults' participation in physical activity: review and update. Med Sci Sports Exerc. 2002, 34 (12): 1996-2001. 10.1097/00005768-200212000-00020.View ArticlePubMedGoogle Scholar
- Gidlow C, Johnston LH, Crone D, Ellis N, James D: A systematic review of the relationship between socio-economic position and physical activity. Health Educ J. 2006, 2006 (65): 338-367.View ArticleGoogle Scholar
- Kark JD, Gordon ES, Haklai Z: Coronary heart disease mortality among Arab and Jewish residents of Jerusalem. Lancet. 2000, 356 (9239): 1410-1411. 10.1016/S0140-6736(00)02849-X.View ArticlePubMedGoogle Scholar
- Multi-Ethnic Study of Atherosclerosis: Physical activity interviewer administered. Accessed 20/11/2011, [http://www.mesa-nhlbi.org/publicdocs/mesaexam3forms/v3_physical_activity_d.pdf]
- Bertoni AG, Whitt-Glover MC, Chung H, Le KY, Barr RG, Mahesh M, Jenny NS, Burke GL, Jacobs DR: The association between physical activity and subclinical atherosclerosis: the multi-ethnic study of atherosclerosis. Am J Epidemiol. 2009, 169 (4): 444-454.View ArticlePubMedGoogle Scholar
- Ainsworth BE, Haskell WL, Whitt MC, Irwin ML, Swartz AM, Strath SJ, O'Brien WL, Bassett DR, Schmitz KH, Emplaincourt PO: Compendium of physical activities: an update of activity codes and MET intensities. Med Sci Sports Exerc. 2000, 32 (9 Suppl): S498-S504.View ArticlePubMedGoogle Scholar
- Haskell WL, Lee I, Pate RR, Powell KE, Blair SN, Franklin BA, Macera CA, Heath GW, Thompson PD, Bauman A: Physical activity and public health: updated recommendations for adults from the American College of Sport Medicine and the American Heart Association. Med Sci Sports Exerc. 2007, 39 (9): 1423-1434.View ArticlePubMedGoogle Scholar
- Guthold R, Ono T, Strong KL, Chatterji S, Morabia A: Worldwide variability in physical inactivity a 51-country survey. Am J Prev Med. 2008, 34 (6): 486-494. 10.1016/j.amepre.2008.02.013.View ArticlePubMedGoogle Scholar
- Bauman A, Bull F, Chey T, Craig CL, Ainsworth BE, Sallis JF, Bowles HR, Hagstromer M, Sjostrom M, Pratt M: The international prevalence study on physical activity: results from 20 countries. Int J Behav Nutr Phys Act. 2009, 6 (1): 21-10.1186/1479-5868-6-21.View ArticlePubMedPubMed CentralGoogle Scholar
- Guthold R, Louazani SA, Riley LM, Cowan MJ, Bovet P, Damasceno A, Sambo BH, Tesfaye F, Armstrong TP: Physical activity in 22 African countries. Results from the World Health Organization STEPwise approach to chronic disease risk factor surveilance. Am J Prev Med. 2011, 41 (1): 52-60. 10.1016/j.amepre.2011.03.008.View ArticlePubMedGoogle Scholar
- Sattelmair J, Pertman J, Ding EL, Kohl HW, Haskell WL, Lee IM: Dose Response between physical activity and risk of corronary heart disease. A meta-analysis. Circulation. 2011, 124: 789-795. 10.1161/CIRCULATIONAHA.110.010710.View ArticlePubMedPubMed CentralGoogle Scholar
- Lee I-M, Buchner DM: The importance of walking to public health. Med Sci Sports Exerc. 2008, 40 (7S): S512-S518.View ArticlePubMedGoogle Scholar
- Central Bureau of Statistics: Population, locality, by age sex and religion. 2006, Jerusalem, IsraelGoogle Scholar
- Reddy KS: Cardiovascular disease in non-Western countries. N Engl J Med. 2004, 350 (24): 2438-2440. 10.1056/NEJMp048024.View ArticlePubMedGoogle Scholar
- Muntner P, Gu D, Wildman RP, Chen J, Qan W, Whelton PK, He J: Prevalence of physical activity among Chinese adults: results from the International Collaborative Study of Cardiovascular Disease in Asia. Am J Public Health. 2005, 95 (9): 1631-1636. 10.2105/AJPH.2004.044743.View ArticlePubMedPubMed CentralGoogle Scholar
- Hu G, Pekkarinen H, Hanninen O, Yu Z, Tian H, Guo Z, Nissinen A: Physical activity during leisure and commuting in Tianjin, China. Bull World Health Organ. 2002, 80 (12): 933-938.PubMedGoogle Scholar
- Trinh OT, Nguyen ND, Dibley MJ, Phongsavan P, Bauman AE: The prevalence and correlates of physical inactivity among adults in Ho Chi Minh City. BMC Publ Health. 2008, 8: 204-10.1186/1471-2458-8-204.View ArticleGoogle Scholar
- Forrest KY, Bunker CH, Kriska AM, Ukoli FA, Huston SL, Markovic N: Physical activity and cardiovascular risk factors in a developing population. Med Sci Sports Exerc. 2001, 33 (9): 1598-1604. 10.1097/00005768-200109000-00025.View ArticlePubMedGoogle Scholar
- Siegel PZ, Brackbill RM, Heath GW: The epidemiology of walking for exercise: implications for promoting activity among sedentary groups. Am J Public Health. 1995, 85 (5): 706-710. 10.2105/AJPH.85.5.706.View ArticlePubMedPubMed CentralGoogle Scholar
- Merom D, Chey T, Chau J, Smith B, Barr M, Bauman A: Are messages about lifestyle walking being heard? Trends in walking for all purposes in New South Wales (NSW) Australia. Prev Med. 2009, 48: 341-344. 10.1016/j.ypmed.2009.02.010.View ArticlePubMedGoogle Scholar
- Kriska AM, Caspersen CL: Introduction to a collection of physical activity questionnaires. Med Sci Sports Exerc. 1997, 29 (6): S5-S9.View ArticleGoogle Scholar
- Baron-Epel O, Haviv A, Garty N, Tamir D, Green MS: Who are the sedentary people in Israel? A public health indicator. Isr Med Assoc J. 2005, 7 (11): 694-699.PubMedGoogle Scholar
- Bennett SA: Inequalities in risk factors and cardiovascular mortality among Australia's immigrants. Aust-NZ J Public Health. 1993, 17 (3): 251-261.View ArticleGoogle Scholar
- Jaber LA, Brown MB, Hammad A, Zhu Q, Herman WH: Lack of acculturation is a risk factor for diabetes in Arab immigrants in the US. Diabetes Care. 2003, 26 (7): 2010-2014. 10.2337/diacare.26.7.2010.View ArticlePubMedGoogle Scholar
- Winkleby MA, Kraemer HC, Ahn DK, Varady AN: Ethnic and socioeconomic differences in cardiovascular disease risk factors: findings for women from the Third National Health and Nutrition Examination Survey, 1988-1994. J Am Med Assoc. 1998, 280 (4): 356-362. 10.1001/jama.280.4.356.View ArticleGoogle Scholar
- Shea S, Stein AD, Basch CE, Lantigua R, Maylahn C, Strogatz DS, Novick L: Independent associations of educational attainment and ethnicity with behavioral risk factors for cardiovascular disease. Am J Epidemiol. 1991, 134 (6): 567-582.PubMedGoogle Scholar
- Crespo CJ, Smit E, Andersen RE, Carter-Pokras O, Ainsworth BE: Race/ethnicity, social class and their relation to physical inactivity during leisure time: results from the Third National Health and Nutrition Examination Survey, 1988-1994. Am J Prev Med. 2000, 18 (1): 46-53. 10.1016/S0749-3797(99)00105-1.View ArticlePubMedGoogle Scholar
- Marshall SJ, Jones DA, Ainsworth BE, Reis JP, Levy SS, Macera CA: Race/ethnicity, social class, and leisure-time physical inactivity. Med Sci Sports Exerc. 2007, 39 (1): 44-51. 10.1249/01.mss.0000239401.16381.37.View ArticlePubMedGoogle Scholar
- Kriska AM: Ethnic and cultural issues in assessing physical activity. Res Q Exerc Sport. 2000, 71 (2): 47-53.View ArticlePubMedGoogle Scholar
- Mahabir S, Baer DJ, Giffen C, Clevidence BA, Campbell WS, Taylor PR, Hartman TJ: Comparison of energy expenditure estimates from 4 physical activity questionnaires with doubly labeled water estimates in postmenopausal women. Am J Clin Nutr. 2006, 84: 230-236.PubMedGoogle Scholar
- Baranowski T: Validity and reliability of self-report measures of physical activity: an information porocesing perspective. Res Q Exerc Sport. 1988, 59 (4): 314-327.View ArticleGoogle Scholar
- Durante R, Ainsworth BE: The recall of physical activity: using cognitive model of the question-answering process. Med Sci Sports Exerc. 1996, 28 (10): 1282-1291. 10.1097/00005768-199610000-00012.View ArticlePubMedGoogle Scholar
- Rzewnicki R, Vanden Auweele Y, De Bourdeaudhuij I: Addressing overreporting on the International Physical Activity Questionnaire (IPAQ) telephone survey with a population sample. Public Health Nutr. 2003, 6 (3): 299-305.View ArticlePubMedGoogle Scholar
- Kalter-Leibovici O, Younis-Zeidman N, Atamna A, Lubin F, Alpert G, Chetrit A, Novikov I, Daoud N, Freedman L: Lifestyle intervention in obese Arab women. Arch Intern Med. 2010, 170 (11): 970-976. 10.1001/archinternmed.2010.103.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://0-www.biomedcentral.com.brum.beds.ac.uk/1471-2458/12/90/prepub
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