The association of physical activity, sedentary behaviors, and body mass index classification in a cross-sectional analysis: are the effects homogenous?

Relationships between physical activity and other health-related measures using state-based prevalence estimates

Background

Both physical activity and muscle-strengthening activity have known relationships with other health-related variables such as alcohol and tobacco use, diet, and health-related quality of life (HRQOL). The purpose of this study was to explore and quantify the associations between physical activity measures and health-related variables at the higher state level.

Methods

This cross-sectional study used data from the 2017 and 2019 Behavioral Risk Factor Surveillance System surveys. State-based prevalence (%) estimates were computed for meeting physical activity guidelines (PA), meeting muscle-strengthening activity guidelines (MS), both PA and MS (MB), drinking alcohol (D1), heavy alcohol drinking (HD), fruit consumption (F1), vegetable consumption (V1), good self-rated health (GH), overweight (OW), obesity (OB), current smoking (SN), and smokeless tobacco use (SL). Descriptive statistics, correlation coefficients, and data visualization methods were employed.

Results

Strongest associations were seen between PA and F1 (2017: r=0.717 & 2019: r=0.695), MS and OB (2017: r=-0.781 & 2019: r=-0.599), PA and GH (2017: r=0.631 & 2019: r=0.649), PA and OB (2017: r=-0.645 & 2019: r=-0.763), and MB and SN (2017: r=-0.713 & 2019: r=-0.645). V1 was associated only with PA (2017: r=0.335 & 2019: r=0.357) whereas OW was not associated only with PA. Canonical correlation analysis showed the physical activity variables were directly related (r c=0.884, P<0.001) to the health variables.

Conclusion

This study used high-level data to support the many known relationships between PA measures and health-related variables.

Examining the Association Between Parental Factors and Childhood Obesity

PURPOSE

To examine associations between parent's diet and BMI (body mass index) and child's sedentary behavior and physical activity (PA) with child's BMI.

DESIGN

A descriptive design.

METHODS

Study participants were a parent-child dyad in a subsample of families enrolled in Chicago Heights Early Childhood Center.

FINDINGS

Approximately 80% of parents had a BMI classifying as overweight or obese. Associations between children's sedentary behavior, PA, and BMI were insignificant.

CONCLUSIONS

Findings highlight the importance of including parents when developing strategies for promoting healthy behavior of children.

CLINICAL EVIDENCE

Community health nurses are well-positioned to promote healthy behaviors.

Brake response time between male drivers with and without paraplegia: Association between sociodemographic, motor and neurological characteristics

Objective: The objective of this study was to compare the brake response time of drivers with paraplegia (who use hand control) with drivers without paraplegia (who use their feet) in a virtual driving simulator brake test. Additionally, we aimed to predict and evaluate the association of virtual brake response time with sociodemographic, motor and cognitive variables.Methods: 40 male adult drivers, with paraplegia (n = 20, mean age 38.1 ± 3.6 years) and without paraplegia (n = 20, mean age 38.0 ± 5.8 years), with valid driver licenses, had their brake response time evaluated in an automatic transmission car simulator. Non-disabled drivers were tested with conventional foot controls, while paraplegic drivers used hand controls. Drivers with paraplegia performed simple, choice and go/no-go reaction time tests as neuropsychological evaluations. Student's t-test was used to examine the differences of driving simulator brake response time between groups. Pearson coefficient verified the correlation of driving simulator brake response time with years of driving, length of disability, handgrip strength and neuropsychological tests of the paraplegic drivers. A regression model was developed to describe the mean of driving simulator brake response time using the backward elimination method for model adjustment selecting the explanatory variables.Results: Differences of simulator brake response time between groups were not statistically significant (non-paraplegic drivers = 0.90 seconds; paraplegic drivers = 0.92 seconds, p > 0.05). Years of driving significantly correlates with brake response time of paraplegic driver (r= -58, p = 0.009). Linear regression analyses indicated that years of schooling and years of driving (explanatory variables) explained 60.2% of driving simulator brake response time for the drivers with paraplegia. Driving simulator brake response time showed no difference between drivers with and without paraplegia. Years of driving and schooling were the main predictors of braking performance in drivers with paraplegia measured in a driving simulator.

Comparison of Dopamine Transporter SPECT and 123I-MIBG Myocardial Scintigraphy to Assess Clinical Severity in Patients With Parkinson Disease

PURPOSE

The aim of our study was to evaluate the use of dopamine transporter (DAT) SPECT and I-MIBG myocardial scintigraphy to determine the clinical severity of Parkinson disease (PD), with a focus on motor impairments affecting activities of daily living (ADLs).

METHODS

Data for 65 consecutive PD patients who underwent both DAT and MIBG imaging were reviewed. Associations between imaging variables and Hoehn and Yahr (H&Y) staging or self-supportive care ratings were investigated. Univariate and multivariate regression analyses were performed to determine the factors associated with ADLs.

RESULTS

After applying the exclusion criteria, 45 patients were analyzed (age, 73.1 ± 9.3 years; 23 males; H&Y stage 1: n = 12, stage 2: n = 14, stage 3: n = 10, stage 4: n = 5, and stage 5: n = 4; self-supportive care rating-dependent ADLs: n = 29). Dopamine transporter variables were significantly associated with the clinical severity of PD as assessed by H&Y staging, whereas MIBG variables were not. Dopamine transporter variables gradually decreased throughout progressive stages, whereas the MIBG variables changed only in the advanced stages. In a multivariate analysis including clinical and imaging variables, both lower DAT and MIBG uptakes were significantly associated with dependent ADL status (P = 0.028 and 0.034, respectively).

CONCLUSIONS

In patients with PD, DAT SPECT and MIBG myocardial scintigraphy were associated with ADL status; DAT SPECT was a stronger indicator of severity than MIBG myocardial scintigraphy in the early and middle stages.

Socio-Economic, Demographic and Lifestyle Determinants of Overweight and Obesity among Adults of Northeast India

Background

Overweight and obesity are the accumulation of high body adiposity, which can have detrimental health effects and contribute to the development of numerous preventable non-communicable diseases. This study aims to evaluate the effect of socio-economic, demographic and lifestyle factors on the prevalence of overweight and obesity among adults belonging to the Rengma-Naga population of North-east India.

Methods

This cross-sectional study was conducted among 826 Rengma-Naga individuals (males: 422; females: 404) aged 20–49 years from the Karbi Anglong District of Assam, using a two-stage stratified random sampling. The socio-economic, demographic and lifestyle variables were recorded using structured schedules. Height and weight were recorded and the Body Mass Index (BMI) was calculated using standard procedures and equation. The WHO (2000) cut-off points were utilized to assess the prevalence of overweight (BMI ≥23.00–24.99 kg/m²) and obesity (BMI ≥25.00 kg/m²). The data were analysed using ANOVA, chi-square analysis and binary logistic regression analysis using SPSS (version 17.0).

Results

The prevalence of overweight and obesity were 32.57% (males: 39.34%; females: 25.50%) and 10.77% (males: 9.95%; females: 11.63%), respectively. The binary logistic regression analysis showed that age groups (e.g., 40–49 years), education (≥9^th standard), part-time occupation and monthly income (≥Rs.10000) were significantly associated with overweight and obesity (p<0.05).

Conclusions

Age, education occupation and income appear to have higher associations with overweight and obesity among adults. Suitable healthcare strategies and intervention programmes are needed for combating such prevalence in population.

Factors associated with overweight: are the conclusions influenced by choice of the regression method?

Background

Different analytical techniques have been used to study the determinants of overweight. However, certain commonly used techniques may be limited by the continuous nature and skewed distribution of body mass index (BMI) data. In this article, different regression models are compared to identify the best approach for analysing predictors of BMI.

Methods

Data collected on 2270 nurses at 18 public hospitals in Rio de Janeiro, RJ (2010–2011) were analysed (80.6 % of the respondents). The explanatory variables considered were age, marital status, race/colour, mother’s schooling, domestic overload, years worked at night, consumption of fried food, physical inactivity, self-rated health and BMI at age 20 years. In addition to gamma regression, regarded as the reference method for selecting the set of explanatory variables described here, other modelling strategies – including linear, quantile (for the 0.25, 0.50 and 0.75 quantiles), binary and multinomial logistic regression – were compared in terms of final results and measures of fit.

Results

The variables age, marital status, race/colour, domestic overload, self-rated health, physical inactivity and BMI at age 20 years were significantly associated with BMI, independently of the method used. In the same way, consumption of fried food was significant in all the models, but a dose–response pattern was identified only in the gamma and normal models and the quantile model for the 0.75 quantile. Years worked at night was also associated with BMI in these three models only. The variable mother’s schooling returned significant results only for the category 12 or more years of schooling, except for overweight in the multinomial model and for the 0.50 quantile in the quantile model, in which the two categories were not significant. The results of the quantile regression showed that, generally, the effects of the variables investigated were greater in the upper quantiles of the BMI distribution. Of the models using BMI in its continuous form, the gamma model showed best fit, followed by the quantile models (0.25 and 0.5 quantiles).

Conclusions

The different strategies used produced similar results for the factors associated with BMI, but differed in the magnitude of the associations and goodness of fit. We recommend using the different approaches in combination, because they furnish complementary information on the problem studied.

Electronic supplementary material

The online version of this article (doi:10.1186/s12889-016-3340-2) contains supplementary material, which is available to authorized users.

Cross-sectional associations of objectively measured physical activity, cardiorespiratory fitness and anthropometry in European adults

OBJECTIVE

To quantify the independent associations between objectively measured physical activity (PA), cardiorespiratory fitness (CRF), and anthropometry in European men and women.

METHODS

2,056 volunteers from 12 centers across Europe were fitted with a heart rate and movement sensor at 2 visits 4 months apart for a total of 8 days. CRF (ml/kg/min) was estimated from an 8 minute ramped step test. A cross-sectional analysis of the independent associations between objectively measured PA (m/s(2)/d), moderate and vigorous physical activity (MVPA) (%time/d), sedentary time (%time/d), CRF, and anthropometry using sex stratified multiple linear regression was performed.

RESULTS

In mutually adjusted models, CRF, PA, and MVPA were inversely associated with all anthropometric markers in women. In men, CRF, PA, and MVPA were inversely associated with BMI, whereas only CRF was significantly associated with the other anthropometric markers. Sedentary time was positively associated with all anthropometric markers, however, after adjustment for CRF significant in women only.

CONCLUSION

CRF, PA, MVPA, and sedentary time are differently associated with anthropometric markers in men and women. CRF appears to attenuate associations between PA, MVPA, and sedentary time. These observations may have implications for prevention of obesity.

Behavioral risk factors for obesity during health transition in Vanuatu, South Pacific

The South Pacific archipelago of Vanuatu, like many developing countries, is currently experiencing a shift in disease burdens from infectious to chronic diseases with economic development. A rapid increase in obesity prevalence represents one component of this "health transition."

OBJECTIVE

To identify behaviors associated with measures of obesity in Vanuatu.

DESIGN AND METHODS

Five hundred and thirty four adults from three islands varying in level of economic development were surveyed. Height, weight, waist, and hip circumferences; triceps, subscapular and suprailiac skinfolds; and percent body fat (%BF) by bioelectrical impedance were measured. Diet through 24-h dietary recall and physical activity patterns using a survey were assessed. We analyzed prevalence of obesity and central obesity based on multiple indicators (body mass index, %BF, waist circumference, and waist-to-height ratio), and analyzed differences among islands and associations with behavioral patterns.

RESULTS

Obesity prevalence was lowest among rural and highest among suburban participants. Prevalence of central obesity was particularly high among women (up to 73.9%), even in rural areas (ranging from 14.7 to 41.2% depending on the measure used). Heavier reliance on animal protein and incorporation of Western foods in the diet-specifically, tinned fish and instant noodles-was significantly associated with increased obesity risk.

CONCLUSIONS

Even in rural areas where diets and lifestyles remain largely traditional, modest incorporation of Western foods in the diet can contribute to increased risk of obesity. Early prevention efforts are thus particularly important during health transition. Where public health resources are limited, education about dietary change could be the best target for prevention.