- Research article
- Open Access
- Open Peer Review
Physical activity and risk of Metabolic Syndrome in an urban Mexican cohort
© Méndez-Hernández et al; licensee BioMed Central Ltd. 2009
- Received: 7 November 2008
- Accepted: 31 July 2009
- Published: 31 July 2009
In the Mexican population metabolic syndrome (MS) is highly prevalent. It is well documented that regular physical activity (PA) prevents coronary diseases, type 2 diabetes and MS. Most studies of PA have focused on moderate-vigorous leisure-time activity, because it involves higher energy expenditures, increase physical fitness, and decrease the risk of MS. However, for most people it is difficult to get a significant amount of PA from only moderately-vigorous leisure activity, so workplace activity may be an option for working populations, because, although may not be as vigorous in terms of cardio-respiratory efforts, it comprises a considerable proportion of the total daily activity with important energy expenditure. Since studies have also documented that different types and intensity of daily PA, including low-intensity, seem to confer important health benefits such as prevent MS, we sought to assess the impact of different amounts of leisure-time and workplace activities, including low-intensity level on MS prevention, in a sample of urban Mexican adults.
The study population consisted of 5118 employees and their relatives, aged 20 to 70 years, who were enrolled in the baseline evaluation of a cohort study. MS was assessed according to the criteria of the National Cholesterol Education Program, ATP III and physical activity with a validated self-administered questionnaire. Associations between physical activity and MS risk were assessed with multivariate logistic regression models.
The prevalence of the components of MS in the study population were: high glucose levels 14.2%, high triglycerides 40.9%, high blood pressure 20.4%, greater than healthful waist circumference 43.2% and low-high density lipoprotein 76.9%. The prevalence of MS was 24.4%; 25.3% in men and 21.8% in women. MS risk was reduced among men (OR 0.72; 95%CI 0.57–0.95) and women (OR 0.78; 95%CI 0.64–0.94) who reported an amount of ≥30 minutes/day of leisure-time activity, and among women who reported an amount of ≥3 hours/day of workplace activity (OR 0.75; 95%CI 0.59–0.96).
Our results indicate that both leisure-time and workplace activity at different intensity levels, including low-intensity significantly reduce the risk of MS. This finding highlights the need for more recommendations regarding the specific amount and intensity of leisure-time and workplace activity needed to prevent MS.
- Physical Activity
- Metabolic Syndrome
- Waist Circumference
- High Density Lipoprotein
- Mexican Population
Metabolic Syndrome (MS) is a common disorder caused by a combination of unhealthy diet, sedentary lifestyle and genetic predisposition . This syndrome is a major risk factor for several chronic diseases, mainly type 2 diabetes and cardiovascular diseases [2–5]. Some components of MS are highly prevalent in the Mexican population. These include high rates of central obesity , low levels of high density lipoprotein cholesterol (HDL), hypertriglyceridemia, hypoalphalipoproteinemia  and type 2 diabetes . In fact, cardiovascular disease is the leading cause of death for both sexes, and type 2 diabetes is the second cause of death among women, and the third among men in Mexico .
Epidemiological studies have demonstrated that moderate-vigorous daily physical activity (PA) prevents both the incidence of chronic diseases and premature death . It is also well documented that habitual leisure-time (LT) activity prevents elevated blood pressure, insulin resistance, glucose intolerance , elevated triglycerides, low levels of HDL and decreases body weight , preventing the development of coronary heart diseases , type 2 diabetes and MS [14–17].
Public health recommendations regarding the type and amounts of PA needed to improve and maintain health benefits among adults have been established in the USA . In Mexico, the National Commission of Sport and the Mexican Ministry of Health (MMH) have adopted the USA recommendations: people should engage in moderate intensity PA at least five days a week for 30 minutes, or vigorous activity at least three days a week for 20 minutes [19, 20]. These recommendations represent an adequate amount of PA for general health promotion and disease prevention , but the type, amount and intensity of PA required to prevent or reverse MS has not been well established [22, 23].
Most studies of PA have focused on moderate-vigorous LT activity, because it involves higher energy expenditures , increase physical fitness , and has demonstrated to decrease the risk of MS [14–17]. However, for most people it is difficult to get a significant amount of PA from moderate-vigorous LT activity, so other types of PA that can improve health should also be explored . For example, workplace (WP) activity may be an option for working populations, because, although WP activities may not be as vigorous in terms of cardio-respiratory efforts, they do make up a considerable proportion of the total daily PA [27, 28] with an important energy expenditure [22, 29].
Prospective studies have shown that in order to prevent MS, energy expenditure seems to be more important than intensity, independently of aerobic fitness and obesity, [22, 30, 31]. Since, studies have also documented that different types and intensity of daily PA, including low-intensity, seem to confer important health benefits such as decreased blood glucose concentrations , lower risk of type 2 diabetes , and helping to prevent MS ; the aim of this study is to assess the impact of different amounts of LT and WP activities, including low-intensity level on MS prevention, in a sample of urban Mexican adults.
The study population consisted of adult participants in the Health Worker Cohort Study (HWCS), including workers and their relatives from the "Instituto Mexicano del Seguro Social" (IMSS), the "Instituto Nacional de Salud Pública" (INSP) and from the "Universidad Autónoma del Estado de México" (UAEM). This ongoing cohort study is focusing on the relationship between certain lifestyle factors and health. From March 2004 to April 2006, 8315 adults were formally enrolled in the cohort study. The specifics of the study design, methodology and participants' baseline characteristics have been detailed elsewhere [33–35]. The ethics committees of all participating institutions approved the study protocol and informed consent forms.
For this study we performed a cross-sectional analysis of data from a sample of 7991 adults participating in the HWCS, aged 20 to 70 years. To avoid any health conditions that could interfere with the participants' ability to engage in PA , we excluded: 1) participants diagnosed any component of MS, such as type 2 diabetes (n = 174), hypertension (n = 581), or any type of dyslipidemia (n = 619); and 2) those with a serious chronic disease, such as cardiovascular disease (n = 41), cerebrovascular disease (n = 8), any type of cancer (n = 72), cirrhosis (n = 6), pulmonary diseases (n = 192), kidney failure (n = 18), rheumatoid or degenerative arthritis (n = 270), hip or femur fracture (n = 26), Parkinson's disease (n = 4) and depression (n = 170), or a combination of these diseases (n = 692). Our sample consisted of the remaining 5118 participants. These diseases were identified based on the participants' responses in the self-administered questionnaire (from questions about hospitalizations and medication prescriptions), as well as the results of blood tests, clinical and anthropometrical examinations.
Physical activity assessment
Physical activity was assessed using a validated physical activity questionnaire version 2002, used in the "Health Professionals Follow-up Study" [37, 38], validated in Spanish , and adapted for Mexican urban population as follows: 1) adding some LT activities that are common among the Mexican population such as football and fronton, as well eliminating weightlifting and sailing, which are less common, and 2) adding more specific choices to the WP domain such as carrying moderate or heavy loads, pushing objects, climbing the stairs and using tools.
Participants were asked to report the amount of time they spent engaged in specific activities during their LT and WP contexts. The PA section on LT activity included 16 items on the amounts of weekly time spent performing exercises like walking, running, cycling, etc. To obtain the LT activity expended daily, time and frequency spent on each activity were added and the total was divided by 7. To compare the impact of LT activity on risk of MS, we defined two categories: <30 minutes per day and ≥30 minutes per day, based on the minimum time recommended in the PA guidelines for Mexican adults [19, 20].
Workplace activity was evaluated using 8 items that address the daily time spent performing work-related activities such as sitting down, standing up, walking, walk lifting objects, and using heavy machinery. To obtain the daily WP activity, we added the duration of these different activities. We defined two WP activity categories based on the median hours of WP activity per day: <3 hours and ≥3.
Metabolic equivalents assessment
In order to make our results more comparables with other studies, we computed the median of the Metabolic Equivalents (METs) and the kilocalorie equivalency for the time spent in the LT and WP categories, using the updated compendium of physical activity . One MET is the metabolic energy expended by lying quietly and is equivalent to 1 kcal per kg per hour. For instance, a 70 kg person walking at a moderate pace (MET value of 3.5) for 1 hour expends 3.5 METs or 245 kcal .
Clinical and anthropometric evaluation
Waist circumference was measured with a steel measuring tape at the high point of the iliac crest at the end of normal expiration, to the nearest 0.1 cm. Weight was assessed on participants wearing minimal clothing with a previously calibrated electronic TANITA scale. Height was measured with a conventional stadiometer. Body mass index (BMI) was calculated as a ratio of weight (Kg) to height squared (m2).
Blood pressure was measured with an electronic digital blood pressure monitor. Participants were seated with their right arm resting at heart level. For the participants from the UAEM three blood pressure measurements were obtained and the mean of the last two measurements was used. For the participants from the INSP and the IMSS, one blood pressure measurement was obtained. Measurement of these anthropometric criteria and blood pressure were performed by nurses trained to perform standardized procedures (reproducibility was evaluated, resulting in a concordance coefficient of 0.83–0.90).
Fasting venous blood samples were collected. Glucose levels were assessed with the oxidize glucose method. Triglycerides were determined with a colorimetric method after enzymatic hydrolysis with lipases technique, and HDL cholesterol by the elimination of chylomicron and subsequent catalase. All biomedical essays were performed at the IMSS laboratory in Cuernavaca, and at the UAEM in Toluca. Both laboratories used procedures standardized according to the proceedings of the International Federation of Clinical Chemistry and Laboratory Medicine .
Metabolic syndrome assessment
The National Cholesterol Education Program, Adult Treatment Panel III (NCEP ATP III) defined MS as the presence of three or more of the following five components: plasma glucose ≥110 mg/dL but <126 mg/dL (≥6.09 but <6.99 mmol/L), serum triglycerides ≥150 mg/dL (≥1.7 mmol/L), systolic and/or diastolic blood pressure: ≥130, but <140 and/or ≥85, but <90 mmHg, respectively; waist circumference ≥102 cm (40 in) for men and ≥88 cm (35 in) for women, and low HDL cholesterol <50 and <40 mg/dL (<1.295 mmol/L and <1.036 mmol/L) for men and women, respectively . We used these parameters in our analysis, although we lowered the cut-point for healthy plasma glucose to ≥100 mg/dL and <126 mg/dL, to optimize our ability to assess diabetes risk .
Demographic characteristics, education, smoking assessment and diet
Demographic data, including level of education, were obtained via the self-applied questionnaire. Smoking status was assessed using the categorization proposed by the World Health Organization: current, past and never .
A semi-quantitative Food Frequency Questionnaire (FFQ) validated in the Mexican population  was used to assess diet. This questionnaire includes data on the frequency of consumption of 116 foodstuffs during the previous year. Participants' calorie, saturated fat, and alcohol consumption were estimated using a FFQ for the past year. Alcohol consumption was categorized as: non-drinkers (people who have not consumed any alcohol in the last 12 months), moderate drinkers (<2 drinks a day for men, and <1 drink a day for women), and heavy drinkers (≥2 drinks a day for men and ≥1 drink a day for women) .
Extreme outliers in the LT and WP measures were identified and removed using the generalized extreme studentized deviation many-outlier method . Differences between the median of METs expenditure in LT and WP categories were computed and tested, using Pearson chi-squared test. Differences between the crude and adjusted prevalences of MS and their components across LT and WP activities were evaluated and tested by sex, using the likelihood test for difference of two probabilities. To estimate the magnitude of the association between MS and daily physical activities, adjusted odds ratios and 95% confidential intervals (CIs) were computed using unconditional and multivariate logistic regression. Adjusted prevalences and adjusted odds ratios were computed by sex. The covariates used to adjust the prevalences and odds ratios were: age, calorie intake, alcohol consumption, education and smoking. Models were also adjusted by LT and WP activities. Analyses were performed using stata version 9.1 (stata Corporation, College Station, Texas, USA).
Demographic and lifestyle characteristics of study participants (n = 5118).
Age, mean years (SD)
38 (± 11.7)
Bachelor's degree or higher
Technicians and cleaning staff
Health employees and students
Professors and researchers
Housewives, retires and unemployed
Body Mass Index (%)
Normal (< 25 kg/m2)
Overweight (25–29 kg/m2)
Obese (> 30 kg/m2)
Mean, kg/m2 (SD)
26 (± 4.5)
Physical activity (%)
Leisure-time (< 30 min/day)
Workplace (< 3 hours/day)
Smoking status (%)
Alcohol intake (%)
The prevalence of MS in the study population was 24.4%. The prevalence of MS among participants with a normal BMI was 6.5% (95% CI 5.5–7.6), among overweight participants it was 28.5% (95% CI 27.0–29.7), and 57.1% (95% CI 53.5–60.8) among obese participants. The prevalence of each MS component was: high blood glucose 14.2%, high triglycerides 40.9%, high blood pressure 20.4%, higher-than-recommended waist circumference 43.2% and low HDL 76.9% (data not shown).
Median of METs and kilocalories spent in leisure-time and workplace activities.
< 30 minutes per day (n = 4001)
< 3 hours per day (n = 2025)
METs and kilocalorie expenditure in this category:
METs and kilocalorie expenditure in this category:
METs: 0.25 SD (0.54)
METs: 1.6 SD (2.4)
Kcal: 16.1 SD (34.8)
Kcal: 103.2 SD (154)
Example of time activity for METs expenditure in this category:
Examples of time activity for METs expenditure in this category:
Walking at slow pace (< 30 min/mile), during ≈7.5 min (MET value: 2.0 METs/hour).
Sitting meetings, talking, business meeting, during ≈64 min (MET value: 1.5 METs/hour).
≥ 30 minutes per day (n = 1117)
≥ 3 hours per day (n = 1691)
METs and kilocalorie expenditure in this category:
METs and kilocalorie expenditure in this category:
METs: 5.3 SD (5.8)
METs: 10.8 SD (3.2)
Kcal: 341.8 SD (347)
Kcal: 696.6 SD (206)
Examples of time activity for METs expenditure in this category:
Examples of time activity for METs expenditure in this category:
Running 10 min/mile, bicycling 4 min/mile or swimming vigorous effort, during ≈34 min (MET value: 10.0 METs/hour).
Walking slowly at 2.5 mph, carrying light objects, or patient care during ≈216 min (MET value: 3.0 METs/hour).
Adjusted prevalence of metabolic syndrome and its components by sex, according to leisure-time and workplace activities
Metabolic syndrome and its components
(n = 5118)
(n = 3716)
n = 4001
n = 1117
n = 2025
n = 1691
Glucose ≥100 mg/dl
Triglycerides ≥ 150 mg/dl
<40 mg/dl in men (%)
<50 mg/dl in women (%)
Blood Pressure ≥ 130/85 mm Hg
>102 cm in men (%)
>88 cm in women (%)
Participants of both sexes who reported at least 3 hours of WP activity per day showed a lower prevalence of MS and MS components. For men, 3 hours or more of WP activity significantly improved HDL levels, and for women this activity significantly improved HDL and triglyceride levels, reduced waist circumference, and lowered glucose and MS prevalence (Table 3).
Adjusted odds ratios of metabolic syndrome by sex, according to leisure-time and workplace activities.
(n = 1484)
(n = 3634)
(n = 5118)
95% CI, p value
(n = 1005)
(n = 2711)
(n = 3716)
95% CI, p value
This study suggests that at least 30 minutes a day of LT activity at different intensity levels, significantly reduces the risk of MS among men and women. This amount of time is equivalent to a mean energy expenditure of 5.3 METs/day, which corresponds to running 34 minutes per day, at a speed of 10 min/mile . This study also shows that men who engaged in the aforementioned amount and intensity of LT activity, significantly improved their levels of HDL and reduced their waist circumference. Women who spent at least 30 minutes a day in LT activities also significantly improved their triglyceride levels and reduced their waist circumference. These findings are consistent with previous studies demonstrating that regular LT physical activity is an important protective factor against metabolic diseases, because it both prevents and reduces established atherosclerotic risk factors, including elevated triglycerides, low HDL and abnormal waist circumference [10–12, 29]. LTPA also reduces type 2 diabetes and MS risk [14–17].
Our results show that engaging in three or more hours a day of WP activities at different intensity levels is associated with a reduction in risk of MS among men and women, although the results for men were not significantly, perhaps due to a lack of statistical power in this group. This amount of time spent in WP activity was associated with a mean energy expenditure of 10.8 METs/day. This amount of energy expenditure is equivalent to walking slowly at 2.5 mph, carrying light objects, or patient care during 216 minutes per day . Our results are consistent with a study that reported that higher occupational PA was found to decrease MS risk in the general adult population of Taiwan . Others studies have also shown that moderate to high levels of occupational activity reduce cardiovascular mortality in both men and women with hypertension and diabetes [12, 13, 29], and that if occupational activity is high enough, the risk of breast cancer can also be markedly reduced .
In Mexico, public health strategies to prevent chronic diseases are based on the MMH recommendations to promote moderate to vigorous PA such as walking, cycling, running, etc. However, this focus may lead to the common misunderstanding that only moderate to vigorous activity improves health . Our results are consistent with prospective and experimental studies indicating that both LT and WP activity at different levels of intensity, including low-intensity activities can also prevent type 2 diabetes [31, 32] and MS [32, 50]. Based on our results, we suggest that PA recommendations should also emphasize the health benefits of lower-intensity PA. For example, recreational walking, short bouts of activity undertaken at the workplace (such as taking the stairs instead of the elevator), and walking instead of driving shorter distances. Physical activities at home, such as actively playing with children or gardening can also contribute to the amount of daily activity required to improve health [29, 51]. However, it is important to point out that lower intensity LT or WP activities may require more total minutes per week to achieve health benefits .
Our results do not negate the current recommendations of PA [18–20]. However, based on the fact that our study participants are middle-age, insufficiently active, and that the most common form of LT physical activity in Mexico is walking , we consider that it is more feasible to encourage different intensity levels of LT physical activity (including low-intensity) among inactive people, instead of only recommending moderate to vigorous PA [22, 32].
Furthermore, LT activities at the workplace should be encouraged among workers who do not receive much exercise in the course of their workday routine. The results of a study conducted in Mexico indicate that at least one third of the workers in a public university reported willingness to engage in LT physical activity at their workplace, and their interest was associated with both higher income and higher levels of education . Studies about the effectiveness of worksite PA promotion and intervention, show that these programs can significantly improve some relevant risk factors (e.g. cholesterol levels, body composition) work-related outcomes (e.g. reduce absenteeism), as well as increase cardio-respiratory fitness and energy expenditure [54–57].
The MMH strategies to increase PA in the Mexican population [58, 59] have had little impact on the PA behavior of the population, and on the general health. This failure may be due to a lack of relevant government policy, planning and legislation initiatives to enhance opportunities for PA, poor coordination between the ministries of health, education and sports, and a lack of economic resources for sports infrastructure and institutions . The social side of MS and chronic disease prevention should address people from all economic and educational levels, and account for differences in sex, age and occupation. Guidelines should encourage individuals to change particular aspects of their lifestyle. These changes could be implemented by: 1) developing infrastructure to improve the availability of PA opportunities in sites like parks and sports fields; 2) encouraging active commuting like walking or cycling; 3) proposing more specific public health policies to encourage PA in children, youth, workers, housewives, and elderly people; 4) developing strategies to encourage leisure PA within the family and within the workplace ; and 5) investigating the reasons people participate in or avoid PA, so that this information could be used to develop more effective PA promoting strategies.
Some of the limitations of our study include the fact that questionnaire assessments of PA are subject to recall bias  and typically overestimate amounts of PA [63, 64]. Furthermore, self-reported PA does not provide accurate estimates of absolute amounts of activity (kilocalories per day) . However, these instruments are useful for certain study populations and they have been validated to identify differences in the PA levels of populations [37, 38, 66, 67]. Since our study uses cross-sectional data, it is not possible to fully determine the direction of causality. This is because although poor PA may cause MS, also MS is likely to result in decreased PA. To avoid biases that could modify the association between PA and MS, we eliminated study participants with type 2 diabetes, hypertension and other serious diseases that decrease PA. For example, diabetic individuals tend to not engage in regular PA  and hypertensive individuals tend to be more sedentary and partake in less vigorous PA .
Our results indicate that both LT and WP physical activity at different intensity levels, including low-intensity significantly reduce the risk of MS. This finding highlights the need for more recommendations regarding the specific amount and intensity of LT and WP activity needed to prevent MS. We postulate that MS prevention efforts should focus on encouraging individuals to increase their energy expenditure through different types and intensity of PA. Efforts to increase PA should involve multiple groups, including private and government institutions, the health care and education systems, who must join forces to implement programs that incorporate recent evidence regarding the health benefits of physical activity.
This work was funded by the "Programa para el Mejoramiento del Profesorado" (PROMEP), and supported by HWCS and the "Équipe MA2D", Université Claude Bernard, Lyon 1. We acknowledge to Emily Wentzell and all who participated in this project and thank them for their time and commitment.
- Eckel RH, Scott MG, Zimmet P: The metabolic syndrome. Lancet. 2005, 365: 1415-28. 10.1016/S0140-6736(05)66378-7.View ArticlePubMedGoogle Scholar
- Aguilar-Salinas CA, Rojas R, Gómez-Pérez FJ, Mehta R, Franco A, Olaiz G, Rull JA: The Metabolic Syndrome: a concept hard to define. Arch Med Res. 2005, 36: 223-31. 10.1016/j.arcmed.2004.12.003.View ArticlePubMedGoogle Scholar
- Son le NT, Kunii D, Hung NT, Sakai T, Yamamoto S: The metabolic syndrome: prevalence and risk factors in the urban population of Ho Chi Minh city. Diabetes Res Clin Pract. 2005, 67: 243-50. 10.1016/j.diabres.2004.07.014.View ArticlePubMedGoogle Scholar
- Ford ES: Risks for all-causes mortality, cardiovascular disease, and diabetes associated with the metabolic syndrome: a summary of the evidence. Diabetes Care. 2005, 28: 1769-85. 10.2337/diacare.28.7.1769.View ArticlePubMedGoogle Scholar
- Wilson PW, D'Agostino RB, Parise H, Sullivan L, Meigs JB: Metabolic syndrome as a precursor of cardiovascular disease and type 2 diabetes mellitus. Circulation. 2005, 112: 3066-72. 10.1161/CIRCULATIONAHA.105.539528.View ArticlePubMedGoogle Scholar
- Olaiz-Fernández G, Rivera-Domarco J, Shamah-Levy T, Rojas R, Villalpando-Hernández S, Hernández-Ávila M, Sepúlveda-Amor J: Encuesta Nacional de Salud y Nutrición 2006. Instituto Nacional de Salud Pública. 2006, 19-23.Google Scholar
- Aguilar-Salinas CA, Olaiz G, Valles V, Ríos-Torres JM, Gómez-Pérez FJ, Rull JA, Rojas R, Franco A, Sepúlveda J: High prevalence of low HDL colesterol concentrations and mixed hyperlipidemia in a Mexican nationwide survey. J Lipid Res. 2001, 42: 1298-307.PubMedGoogle Scholar
- Olaiz-Fernández G, Rojas R, Aguilar-Salinas CA, Rauda J, Villalpando S: Diabetes mellitus en adultos mexicanos. Resultados de la Encuesta Nacional de Salud 2000. Salud Publica Mex. 2007, 49: 331-7.View ArticleGoogle Scholar
- Instituto Nacional de Estadística, Geografía e Informática (INEGI): Causas seleccionadas de mortalidad por sexo 2005. Estadísticas vitales de México. 2005, 93-[http://www.inegi.org.mx/prod_serv/contenidos/espanol/bvinegi/productos/integracion/sociodemografico/mujeresyhombres/2007/MyH_2007_3.pdf]Google Scholar
- Warburton DE, Nicol CW, Bredin SS: Health benefits of physical activity: the evidence. CMAJ. 2006, 174: 801-9.View ArticlePubMedPubMed CentralGoogle Scholar
- Misra KB, Endemann SW, Ayer M: Leisure time physical activity and metabolic syndrome in Asian Indian immigrants residing in northern California. Ethn Diseases. 2005, 15: 627-34.Google Scholar
- Thompson PD, Buchner D, Piña IL, Balady GJ, Williams MA, Marcus BH, Berra K, Blair SN, Costa F, Flanklin B, Fletcher GF, Gordon NF, Pate RR, Rodríguez BL, Yancey AK, Wenger NK, American Heart Association Council on Clinical Cardiology Subcommittee on Exercise, Rehabilitation, and Prevention; American Heart Association Council on Nutrition, Physical Activity, and Metabolism Subcommittee on Physical Activity: Exercise and physical activity in the prevention and treatment of atherosclerotic cardiovascular disease: a statement from the Council on Clinical Cardiology (Subcommittee on Exercise, Rehabilitation, and Prevention) and the Council on Nutrition, Physical Activity, and Metabolism (Subcommittee on Physical Activity). Circulation. 2003, 107: 3109-16. 10.1161/01.CIR.0000075572.40158.77.View ArticlePubMedGoogle Scholar
- Hu G, Jousilahti P, Antikainen R, Tuomilehto J: Occupational, commuting, and leisure time physical activity in relation to cardiovascular mortality among Finnish subjects with hypertension. Am J Hypertens. 2007, 20: 1242-50. 10.1016/j.amjhyper.2007.07.015.View ArticlePubMedGoogle Scholar
- Holme I, Tonstad S, Sogaard AJ, Larsen PG, Haheim LL: Leisure time physical activity in middle age predicts the metabolic syndrome in old age: results of a 28-year follow-up of men in the Oslo study. BMC Public Health. 2007, 7: 154-10.1186/1471-2458-7-154.View ArticlePubMedPubMed CentralGoogle Scholar
- Carnethon MR, Loria CM, Hill JO, Sidney S, Savage PJ, Liu K, Coronary Artery Risk Development in Young Adults study: Risk Factors for the Metabolic Syndrome. The coronary artery risk development in young adults (CARDIA) study, 1985–2001. Diabetes Care. 2004, 27: 2707-15. 10.2337/diacare.27.11.2707.View ArticlePubMedGoogle Scholar
- Rennie KL, McCarthy N, Yazdyerdi S, Marmot M, Brunner E: Association of the metabolic syndrome with both vigorous and moderate physical activity. Int J Epidemiol. 2003, 32: 600-6. 10.1093/ije/dyg179.View ArticlePubMedGoogle Scholar
- Duclos M: Prevention and treatment of the metabolic syndrome: role of physical activity. Sci Sports. 2007, 22: 129-34. 10.1016/j.scispo.2007.06.001.View ArticleGoogle Scholar
- Haskel W, Lee IM, Pate RR, Powell K, Blair SN, Franklin BA, Macera CA, Health GA, Thompson PD, Bauman A: Physical activity and public health, update recommendations for adults from the American College of Sport Medicine and the American Heart Association. Med Sci Sports Excerc. 2007, 39: 1423-34. 10.1249/mss.0b013e3180616b27.View ArticleGoogle Scholar
- Comisión Nacional del Deporte, Gobierno Federal, Secretaría de Educación Pública: Acumula 30 minutos diarios de actividad física. [http://www.conade.gob.mx/af08/paginas/descargables/piramide.pdf]
- Fernández-García V, Hernández-Tezoquipa I: Promoción de la actividad Física. 2007, the Instituto Nacional de Salud Pública, Secretaría de Salud. Cuernavaca México, 1-6.Google Scholar
- Saris WH, Blair SN, van Baak MA, Eaton SB, Davies PS, Di Pietro L, Fogelholm M, Rissanen A, Schoeller D, Swinburn B, Tremblay A, Westerterp KR, Wyatt H: How much physical activity is enough to prevent unhealthy weight gain? Outcome of the IASO 1st Stock Conference and consensus statement. Obes R. 2003, 4: 101-14. 10.1046/j.1467-789X.2003.00101.x.View ArticleGoogle Scholar
- Franks PW, Ekelund U, Brage S, Wong MY, Wareham NJ: Does the association of habitual physical activity with the metabolic syndrome differ by level of cardiorespiratory fitness?. Diabetes Care. 2004, 27: 1187-93. 10.2337/diacare.27.5.1187.View ArticlePubMedGoogle Scholar
- Churilla JR, Zoeller EF: Physical activity and the metabolic syndrome: A Review of the Evidence. Am J Lifestyle Med. 2008, 2: 118-25. 10.1177/1559827607311981.View ArticleGoogle Scholar
- Ainsworth BE: The Compendium of physical activities tracking guide. 2002, Prevention Research Center, Norman J. Arnold School of Public Health, University of South Carolina, [http://prevention.sph.sc.edu/tools/docs/documents_compendium.pdf]Google Scholar
- Laaksonen DE, Lakka HM, Salonen JT, Niskanen LK, Rauramaa R, Lakka TA: Low levels of leisure-time physical activity and cardiorespiratory fitness predict development of the metabolic syndrome. Diabetes Care. 2002, 25: 1612-8. 10.2337/diacare.25.9.1612.View ArticlePubMedGoogle Scholar
- Bauman A, Allman-Farinelli M, Huxley R, James WP: Leisure-time physical activity alone may not be a sufficient public health approach to prevent obesity – a focus on China. Obes Rev. 2008, 9 (suppl 1): 119-26. 10.1111/j.1467-789X.2007.00452.x.View ArticlePubMedGoogle Scholar
- Dong L, Block G, Mandel S: Activities contributing to total energy expenditure in the United States: results from the NHAPS study. Int J Behav Nutr Phys Act. 2004, 1: 4-10.1186/1479-5868-1-4.View ArticlePubMedPubMed CentralGoogle Scholar
- Hu G, Eriksson J, Barengo NC, Lakka TA, Valle TT, Nissinen A, Jousilahti P, Tuomilehto J: Occupational, commuting, and leisure-time physical activity in relation to total and cardiovascular mortality among Finnish subjects with type 2 diabetes. Circulation. 2004, 110: 666-73. 10.1161/01.CIR.0000138102.23783.94.View ArticlePubMedGoogle Scholar
- Lakka TA, Laaksonen DE: Physical activity in prevention and treatment of the metabolic syndrome. Appl Physiol Nutr Metab. 2007, 32: 76-88. 10.1139/H06-113.View ArticlePubMedGoogle Scholar
- Ekelund U, Brage S, Franks PW, Hennings S, Emms S, Wareham NJ: Physical activity energy expenditure predicts progression toward the metabolic syndrome independently of aerobic fitness in middle-aged healthy Caucasians: the Medical Research Council Ely Study. Diabetes Care. 2005, 28: 1195-1200. 10.2337/diacare.28.5.1195.View ArticlePubMedGoogle Scholar
- Hamilton MT, Hamilton DG, Zderic TW: Role of low energy expenditure and sitting in obesity, metabolic syndrome, type 2 diabetes, and cardiovascular disease. Diabetes. 2007, 56: 2655-67. 10.2337/db07-0882.View ArticlePubMedGoogle Scholar
- Laaksonen DE, Lindström J, Lakka TA, Eriksson JG, Niskanen L, Wikström K, Aunola S, Keinänen-Kiukaanniemi S, Laakso M, Valle TT, Ilanne-Parikka P, Louheranta A, Hämäläinen H, Rastas M, Salminen V, Cepaitis Z, Hakumäki M, Kaikkonen H, Härkönen P, Sundvall J, Tuomilehto J, Uusitupa M: Finnish diabetes prevention study. Physical activity in the prevention of type 2 diabetes: the Finnish diabetes prevention study. Diabetes. 2005, 54: 158-65. 10.2337/diabetes.54.1.158.View ArticlePubMedGoogle Scholar
- López-Caudana AE, Téllez-Rojo MM, Hernández-Avila M, Clark P, Juárez-Márquez SA, Lazcano-Ponce EC, Salmerón-Castro J: Predictors of bone mineral density in female workers in Morelos State, Mexico. Arch Med Res. 2004, 35: 172-80. 10.1016/j.arcmed.2003.12.001.View ArticlePubMedGoogle Scholar
- Salmerón-Castro J, Arillo-Santillán E: Tabaquismo en profesionales de la salud del Instituto Mexicano del Seguro Social, Morelos. Salud Publica Mex. 2002, 44 (Supl 1): S67-S75.PubMedGoogle Scholar
- Denova-Gutiérrez E, Jiménez-Aguilar A, Halley-Castillo E, Huitrón-Bravo G, Talavera JO, Pineda-Pérez D, Díaz-Montiel JC, Salmerón J: Association between sweetened beverages consumption and body mass index, mass fat proportion and waist circumference in Mexican adolescents. Ann Nutr Metab. 2008, 53: 245-251. 10.1159/000189127.View ArticlePubMedGoogle Scholar
- Khaw KT, Jakes R, Bingham S, Welch A, Luben R, Day N, Wareham N: Work and leisure time physical activity assessed using a simple, pragmatic, validated questionnaire and incident cardiovascular disease and all-cause mortality in men and women: The European Prospective Investigation into Cancer in Norfolk prospective population study. Int J Epidemiol. 2006, 35: 1034-43. 10.1093/ije/dyl079.View ArticlePubMedGoogle Scholar
- Chasan-Taber S, Rimm EB, Stampfer MJ, Spiegelman D, Colditz GA, Giovannucci E, Ascherio A, Willett WC: Reproducibility and validity of a self-administered physical activity questionnaire for male health professionals. Epidemiology. 1996, 7: 81-6. 10.1097/00001648-199601000-00014.View ArticlePubMedGoogle Scholar
- Wolf AM, Hunter DJ, Colditz GA, Manson JE, Stampfer MJ, Corsano KA, Rosner B, Kriska A, Willett WC: Reproducibility and validity of a self-administered physical activity questionnaire. Int J Epidemiol. 1994, 23: 991-9. 10.1093/ije/23.5.991.View ArticlePubMedGoogle Scholar
- Martínez-González MA, López-Fontana C, Varo JJ, Sánchez-Villegas A, Martinez JA: Validation of the Spanish version of the physical activity questionnaire used in the Nurses' Health Study and the Health Professionals' Follow-up Study. Public Health Nutr. 2005, 8: 920-7. 10.1079/PHN2005745.View ArticlePubMedGoogle Scholar
- Tate JR, Berg K, Courderc R, Dati F, Kostner GM, Marcovina SM, Rifai N, Sakurabayashi I, Steinmetz A: International federation of clinical chemistry and laboratory medicine (IFCC) standardization project for the measurement of lipoprotein(a). Phase 2: selection and properties of a proposed secondary reference material for lipoprotein(a). Clin Chem Lab Med. 1999, 37: 949-58. 10.1515/CCLM.1999.140.View ArticlePubMedGoogle Scholar
- National Cholesterol Education Program, National Heart, Lung and Blood Institute, National Institutes of Health: Third report of the national cholesterol education program (NCEP) expert panel on: detection, evaluation and treatment of high blood cholesterol in adults (adults treatment panel III), executive summary. 2001, NIH Publication, 10: 16-Google Scholar
- Norman EL: Diabetes Mellitus. An update on diagnostic criteria for diabetes and the metabolic syndrome. Rev Cardiovasc Med. 2004, 5: 182-5.Google Scholar
- World Health Organization: Tobacco or health: A global status report, 1997. WHO library Geneva. 1997, 19-Google Scholar
- Hernández-Avila M, Romieu I, Parra S, Hernández-Avila J, Madrigal H, Willett WC: Validity and reproducibility of a food frequency questionnaire to assess dietary intake of women living in Mexico city. Salud Publica Mex. 1998, 40: 133-40.View ArticlePubMedGoogle Scholar
- World Health Organization: Global status report on alcohol 2004. WHO library, Geneva. 2004, 4-6.Google Scholar
- Rosner B: Percentage points for a generalized ESD many-outlier procedure. Technometrics. 1983, 25: 165-72. 10.2307/1268549.View ArticleGoogle Scholar
- Lin CC, Liu CS, Lai MM, Li CI, Chen CC, Chang PC, Lin WY, Lee YD, Lin T, Li TC: Metabolic syndrome in a Taiwanese metropolitan adult population. BMC Public Health. 2007, 7: 239-10.1186/1471-2458-7-239.View ArticlePubMedPubMed CentralGoogle Scholar
- Rintala PE, Pukkala E, Paakkulainen HT, Vihko VJ: Self-experienced physical workload and risk of breast cancer. Scand J Work Environ Health. 2002, 28: 158-62.View ArticlePubMedGoogle Scholar
- Porter N: Report of focus group findings for messages development related to CDC/ACSM physical activity guidelines. 2003, Sponsored by the Centers for Disease Control and Prevention. Contract No.: GS-23F-0231N. Washington DCGoogle Scholar
- Johnson JL, Slentz CA, Houmard JA, Samsa GP, Duscha BD, Aiken LB, McCartney JS, Tanner CJ, Kraus WE: Exercise training amount and intensity effects on metabolic syndrome (from Studies of a Targeted Risk Reduction Intervention through Defined Exercise). Am J Cardiol. 2007, 15: 1759-66. 10.1016/j.amjcard.2007.07.027.View ArticleGoogle Scholar
- Wong ML, Koh D, Lee MH: Assess workers' needs and preferences first before planning a physical fitness programme: findings from a polytechnic institute in Singapore. Occup Med. 1998, 48: 37-44. 10.1093/occmed/48.1.37.View ArticleGoogle Scholar
- Acosta-Cázares B, Aranda-Álvarez JG, Reyes-Morales H: Encoprevenimss 2004. Patrones de actividad física de la mujer y del hombre. Rev Med Inst Mex Seguro Soc. 2006, 44 (Suppl 1): S79-S86.PubMedGoogle Scholar
- Méndez-Hernández P, Siani C, Lamure M, Dosamantes-Carrasco LD, Marín-Martínez FH, Cano-Pérez E, Salmerón-Castro J: Préférences déclarées sur trois programs d'activité physique pour empêcher les maladies chroniques au Mexique. Proceedings of the 9ème conférence internationale sur la science des systémes de santé. Nouvelles technologies de l'information et gouvernance des systèmes de santé: 3–5 Septembre 2008. 2008, Lyon, France, 188-Google Scholar
- Proper KI, Koning M, Beek van der AJ, Hildebrandt VH, Bosscher RJ, van Mechelen W: The effectiveness of worksite physical activity programs on physical activity, physical fitness, and health. Clin J Sport Med. 2003, 13: 106-17. 10.1097/00042752-200303000-00008.View ArticlePubMedGoogle Scholar
- Aldana SG, Greenlaw RL, Diehl HA, Salberg A, Merrill RM, Ohmine S: The effects of a worksite chronic disease prevention program. J Occup Environ Med. 2005, 47: 558-64. 10.1097/01.jom.0000165743.18570.66.View ArticlePubMedGoogle Scholar
- Proper KI, van Mechelen W: Effectiveness and economic impact of worksite interventions to promote physical activity and healthy diet. Technical paper prepared for the WHO/WorldEconomic Forum joint event on preventing non communicable diseases in the workplace. 2007, Geneva, World Health Organization, 1-63. [http://www.who.int/dietphysicalactivity/Proper_K.pdf]Google Scholar
- Lara A, Yancey MK, Tapia-Conyer R, Flores Y, Kuri-Morales P, Mistry R, Subirats E, McCarty WJ: Pausa para tu salud: reduction of weight and waistlines by integrating exercise breaks into workplace organizational routine. Prev Chronic Dis. 2008, 5: 1-9.Google Scholar
- Secretaría de Salud: Capítulo III. Objetivos yestrategias. Programa Nacional de Salud 2007–2012. 2007, Presidencia de la RepúblicaMexicana. México, 85-95. [http://portal.salud.gob.mx/sites/salud/descargas/pdf/pnscap3.pdf]1Google Scholar
- Cámara de Diputados del H. Congreso de la Unión: Ley general de cultura física y deporte. Nueva Ley Publicada en el Diario Oficial de la Federación el 24 de Febrero de. 2003, 10.1093/aje/kwk119. [http://www.diputados.gob.mx/LeyesBiblio/pdf/258.pdf]Google Scholar
- Calderón-Hinojosa F: México 2030, proyecto de granvisión. Eje 3. Igualdad de oportunidades. Cultura física y deporte. Resultados de los talleres temáticos. 2008, Presidencia dela República Mexicana, [http://www.vision2030.gob.mx/pdf/15analisis/ECYGDE_CYT.pdf]Google Scholar
- Institut national de la santé et de la recherche médical: Activité physique. Contextes et effets sur la santé. 2008, Editions Inserm. Paris, 1-31.Google Scholar
- Jurj AL, Wen W, Xiang YB, Matthews CE, Liu D, Zheng Z, Shu XO: Reproducibility and validity of the Shanghai Men's Health Study physical activity questionnaire. Am J Epidemiol. 2007, 165: 1124-33. 10.1136/bjsm.37.3.197.View ArticlePubMedGoogle Scholar
- Shephard RJ: Limits to the measurement of habitual physical activity by questionnaires. Br J Sports Med. 2003, 37: 197-206. 10.1136/bjsm.37.3.197.View ArticlePubMedPubMed CentralGoogle Scholar
- Oppert JM, Simon C, Rivière D, Guezennec CY: Activité physique et santé: arguments scientifiques, pistes et pratiques. Programme National Nutrition Santé. 2005, 1-58. [http://www.sante.gouv.fr/htm/pointsur/nutrition/actions42_activite.pdf]Google Scholar
- Varray A: Question 3–6. Les questionnaires d'activité physique – application aux BPCO. Rev Mal Respir. 2005, 22 (5-C3): 753-63.Google Scholar
- Neilson HK, Robson PJ, Friedenreich CM, Csizmadi I: Estimating activity energy expenditure: how valid are physical activity questionnaires?. Am J Clin Nutr. 2008, 87: 279-91. 10.1157/13100273.PubMedGoogle Scholar
- Varo JJ, Martínez-González MA: Los retos actuales de la investigación en actividad física y sedentarismo. Rev Esp Cardiol. 2007, 60: 231-33. 10.1157/13100273.View ArticlePubMedGoogle Scholar
- Plotnikoff RC: Physical activity in the management of diabetes: Population-based perspectives and strategies. Can J Diabetes. 2006, 30: 52-62. 10.1097/HJH.0b013e3283193e6e.View ArticleGoogle Scholar
- Steptoe A, McMunn A: Health behaviour patterns in relation to hypertension: the English longitudinal study of ageing. J Hypert. 2009, 27: 224-30. 10.1097/HJH.0b013e3283193e6e.View ArticleGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/9/276/prepub
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