Validation and reliability of the Baecke questionnaire for the evaluation of habitual physical activity in adult men

Background and objectives: For addressing the influence of muscle mass on serum and urinary creatinine and serum cystatin C, body composition was assessed by skinfold thickness measurement and bioelectrical impedance analyses.Design, setting, participants, & measurements: A total of 170 healthy individuals (92 women, 78 men) were classified as sedentary or with mild or moderate/intense physical activity. Blood, 24-h urine samples, and 24-h food recall were obtained from all individuals.Results: Serum and urinary creatinine correlated significantly with body weight, but the level of correlation with lean mass was even greater. There was no significant correlation between body weight and lean mass with cystatin C. Individuals with moderate/intense physical activity presented significantly lower mean body mass index (23.1 ؎ 2.5 versus 25.7 ؎ 3.9 kg/m 2 ) and higher lean mass (55. A multivariate analysis of covariance showed that lean mass was significantly related to serum and urinary creatinine but not with cystatin, even after adjustment for protein/meat intake and physical activity.3Conclusions: Cystatin C may represent a more adequate alternative to assess renal function in individuals with higher muscle mass when mild kidney impairment is suspected.Clin J Am Soc Nephrol 3: 348-354, 2008348-354, . doi: 10.2215 A ccurate renal function measurements are important in the diagnosis and treatment of kidney diseases, adjustment of drug dosages, and decision-making regarding when to initiate renal replacement therapy. Serum creatinine is the most commonly used indicator of renal function, but its measurement suffers from a variety of analytical interferences and significant standardization problems (1,2).Serum creatinine can be affected by age, gender, ethnicity, dietary protein intake, and lean mass and may remain within the reference range despite marked renal impairment in patients with low muscle mass. Consequently, the sensitivity of serum creatinine for the early detection of kidney disease is poor and not a good predictor when analyzing the elderly (3,4). Conversely, theoretically, serum creatinine may be falsely increased in individuals with higher muscle mass and normal renal function.The GFR represents the best overall assessment of kidney function, but the gold standard techniques for the measurement of GFR, such as inulin clearance, [125 I]iothalamate, 51 Cr-EDTA, 99m Tc-diethylenetriaminepentaacetic acid, and iohexol are too labor-intensive and costly for routine clinical use (5,6), so creatinine clearance is used instead.To rid the need of 24-h urine collections, several serum creatinine-based prediction formulas have been proposed to predict GFR (7-16). The equations of Cockcroft and Gault (7,8) and the one derived from the Modification of Diet in Renal Disease (MDRD) study (10) are the most widely accepted; however, the competence of such formulas to predict GFR in patients with normal values of serum creatinine is debated.Despite the important influence of muscle mass on serum creatinine, the differ...

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“…The Baecke questionnaire (37), validated in a Brazilian population survey (38), was used to calculate the level of physical activity.…”

Section: Physical Activitymentioning

confidence: 99%

Influence of Muscle Mass and Physical Activity on Serum and Urinary Creatinine and Serum Cystatin C

Baxmann

Ahmed

Marques

et al. 2008

Clinical Journal of the American Society of Nephrology

599

482

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“…Information regarding the habitual practice of physical activities was obtained by means of an interview based on the questionnaire by Baecke et al 13 , which was validated for the Brazilian population by Florindo and Latorre 14 . The protocol is subdivided into three different physical activity domains, with the respective scores: (i) occupational; (ii) sportive; (iii) leisure and locomotion.…”

Section: Previous and Habitual Practice Of Physical Activities (Childmentioning

confidence: 99%

Physical activity, adiposity and hypertension among patients of public healthcare system

Turi

Codogno

Fernandes

et al. 2014

Rev. bras. epidemiol.

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ABSTRACT:Introduction: Hypertension is a chronic disease that requires special attention in identifying comorbidities or risk factors including inactivity and obesity. Considering that a large proportion of the Brazilian population is hypertensive, obese, and sedentary, the relationship among these variables in the context of the public health system is unclear. Objective: To assess the association among physical activity, markers of adiposity, and hypertension in adult users of the public healthcare system in the city of Bauru, São Paulo, Brazil. Methods: The study was conducted in five Basic Health Units in Bauru, São Paulo, and consisted of 963 patients. Data were collected from habitual physical activity and previous (childhood and adolescence), education, purchasing power and anthropometric markers of overall and abdominal obesity. Results: The incidence of hypertension was 76.8%. Significant associations were found among sedentarism, presence of total and abdominal obesity, with the higher incidence of hypertension. It was also observed that the magnitude of association between hypertension and adiposity increased with decreased involvement in physical activity. Conclusion: Further investigations are needed to analyze the occurrence of overweight and obesity in people suffering from chronic diseases in order to prevent future complications.

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“…Social desirability was measured by the Marlowe-Crowne Social Desirability Scale (Crowne and Marlowe, 1960;Scagliusi et al, 2004). Physical activity practice was evaluated by the Baecke Questionnaire (Baecke et al, 1982;Florindo and Latorre, 2003).…”

Section: Psychosocial and Lifestyle Questionnairesmentioning

confidence: 99%

Characteristics of women who frequently under report their energy intake: a doubly labelled water study

et al. 2009

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Background/Objectives: We applied three dietary assessment methods and aimed at obtaining a set of physical, social and psychological variables that can discriminate those individuals who did not underreport ('never under-reporters'), those who underreported in one dietary assessment method ('occasional under-reporters') and those who underreported in two or three dietary assessment methods ('frequent under-reporters'). Participants/Methods: Sixty-five women aged 18-57 years were recruited for this study. Total energy expenditure was determined by doubly labelled water, and energy intake was estimated by three 24-h diet recalls, 3-day food records and a food frequency questionnaire. A multiple discriminant analysis was used to identify which of those variables better discriminated the three groups: body mass index (BMI), income, education, social desirability, nutritional knowledge, dietary restraint, physical activity practice, body dissatisfaction and binge-eating symptoms. Results: Twenty-three participants were 'never under-reporters'. Twenty-four participants were 'occasional under-reporters' and 18 were 'frequent under-reporters'. Four variables entered the discriminant model: income, BMI, social desirability and body dissatisfaction. According to potency indices, income contributed the most to the total discriminant power, followed in decreasing order by social desirability score, BMI and body dissatisfaction. Income, social desirability and BMI were the characteristics that mainly separated the 'never under-reporters' from the under-reporters (occasional or frequent). Body dissatisfaction better discriminated the 'occasional under-reporters' from the 'frequent under-reporters'. Conclusions: 'Frequent under-reporters' have a greater BMI, social desirability score, body dissatisfaction score and lower income. These four variables seemed to be able to discriminate individuals who are more prone to systematic under reporting.

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Validation and reliability of the Baecke questionnaire for the evaluation of habitual physical activity in adult men

Cited by 154 publications

References 15 publications

Influence of Muscle Mass and Physical Activity on Serum and Urinary Creatinine and Serum Cystatin C

Influence of Muscle Mass and Physical Activity on Serum and Urinary Creatinine and Serum Cystatin C

Physical activity, adiposity and hypertension among patients of public healthcare system

Characteristics of women who frequently under report their energy intake: a doubly labelled water study

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