Clustering of physical activity domains and its association with nutritional status among Brazilian adults
ISPAH ePoster Library. Silva K. 10/15/18; 225592; 108
Kelly Silva
Kelly Silva
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Abstract
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Abstract Introduction:<\b>
There is often synergy among physical activity (PA) domains. In turn, this combination may substantially affect nutritional status. This study aimed to identify clustering patterns of PA across multiple domains (leisure, occupation, transport, and home domains) in Brazilian adults and cross-sectional associations with nutritional status. Method: Data from the 2013 Brazilian National Health Survey (n= 50,176 adults; from 18 to 59 years-old; females: 51,7%) were analyzed. Standardized questionnaire was applied to investigate PA and height and weight were measured. Two-step cluster analysis was conducted to identify PA patterns. Multinomial logistic regression assessed associations between the clusters and nutritional status (normal weight was the reference category). Results:<\b>
Three reliable and meaningful clusters were identified and labelled as follows: (1) low active (68.3%); (2) active occupational/transport (14.6%), and (3) active leisure (17.1%). Compared to low active, active occupational/transport cluster (OR= 0.54; 95%CI= 0.34-0.85, p=0.008) and active leisure (OR= 0.49; 95%CI= 0.33-0.72, p<0.001) were less likely to be underweight than normal weight. Active occupational/transport cluster was 24% less likely to be overweight, and 30% less likely to be obese than normal weight. No association was observed between active leisure cluster and overweight/obese adults. Conclusion:<\b>
Almost three quarters of the sample reported a low active profile across multiple PA domains. Consistent associations between the active occupational/transport cluster and nutritional status were found. Identification of cluster patterns of obesity-related protective factors point an urgent need of health promotion engaging adults in active lifestyle. External funding details Brazilian Institute of Geographic and StatisticsBrazilian Ministry of Health
Abstract Introduction:<\b>
There is often synergy among physical activity (PA) domains. In turn, this combination may substantially affect nutritional status. This study aimed to identify clustering patterns of PA across multiple domains (leisure, occupation, transport, and home domains) in Brazilian adults and cross-sectional associations with nutritional status. Method: Data from the 2013 Brazilian National Health Survey (n= 50,176 adults; from 18 to 59 years-old; females: 51,7%) were analyzed. Standardized questionnaire was applied to investigate PA and height and weight were measured. Two-step cluster analysis was conducted to identify PA patterns. Multinomial logistic regression assessed associations between the clusters and nutritional status (normal weight was the reference category). Results:<\b>
Three reliable and meaningful clusters were identified and labelled as follows: (1) low active (68.3%); (2) active occupational/transport (14.6%), and (3) active leisure (17.1%). Compared to low active, active occupational/transport cluster (OR= 0.54; 95%CI= 0.34-0.85, p=0.008) and active leisure (OR= 0.49; 95%CI= 0.33-0.72, p<0.001) were less likely to be underweight than normal weight. Active occupational/transport cluster was 24% less likely to be overweight, and 30% less likely to be obese than normal weight. No association was observed between active leisure cluster and overweight/obese adults. Conclusion:<\b>
Almost three quarters of the sample reported a low active profile across multiple PA domains. Consistent associations between the active occupational/transport cluster and nutritional status were found. Identification of cluster patterns of obesity-related protective factors point an urgent need of health promotion engaging adults in active lifestyle. External funding details Brazilian Institute of Geographic and StatisticsBrazilian Ministry of Health
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