Upload
annetta-giuliani
View
223
Download
1
Embed Size (px)
Citation preview
SISMES 2012 - Palermo 5-7 Ottobre
Bellafiore, M.1,2, Battaglia, G.1,2, Caramazza, G.1,2, Sciacca, L.1, Calabretta, A.1, Bianco, A.1,2, Palma, A.1, 2.
1DISMOT dep. (University of Palermo, Italy), 2Regional Sport School of Sicily CONI (Olympic National Italian Committee, Italy).
Analysis of weight status and back pain in public employees
SISMES 2012 - Palermo 5-7 Ottobre
Background
J Community Health. 2010 Dec;35(6):698-705.Prevalence of obesity and factors associated with it in a worksite setting in Malaysia.Cheong SM, Kandiah M, Chinna K, Chan YM, Saad HA.Department of Health, Pahang, Malaysia.
This study found a higher prevalence of overweight and obesity among employees of a selected public university in comparison to the general population. Socio-demographic, psychosocial factors, and working hours were found to contribute to obesity in this sample of adults.
Br J Nutr. 2012 Sep;108(6):1134-42. Epub 2011 Dec 6.Dietary and physical activity behaviours related to obesity-specific quality of life and work productivity: baseline results from a worksite trial.Cash SW, Beresford SA, Henderson JA, McTiernan A, Xiao L, Wang CY, Patrick DL.Department of Epidemiology, School of Public Health, University of Washington, 1959 NE Pacific Street, Box 357236, Seattle, WA 98195, USA.
The results suggest that obesogenic dietary behaviours and higher BMI are associated with decreased QOL and productivity to different degrees in women and men.
Symptoms % of incidence in world population
Back pain 80%
Low back pain 55%
Job-related low back pain 37%
Epidemiology studies from UE (2005-2007)
Symptoms % of incidence in European population
Job-related back pain 25%
Epidemiology studies from OMS (2005)
Back pain musculoskeletal
disorder• housewifes• drivers• employees• masons - obesity - impaired postures - low physical fitness
Job related back pain
Med Pr. 2009;60(5):359-67.Upper extremities, neck and back symptoms in office employees working at computer stations].Zejda JE, Bugajska J, Kowalska M, Krzych L, Mieszkowska M, Brozek G, Braczkowska B
SISMES 2012 - Palermo 5-7 Ottobre
Aim
To investigate weight status and back pain in office workers and the possible association between
variables such gender, educational qualification and lifestyle
SISMES 2012 - Palermo 5-7 Ottobre
Methods- Data from office public employees was collected with a questionnaire
- The weight status was assessed with body mass index (BMI)
- The lifestyle was considered active when person performed physical activity since at least 3 months for 2 or 3 days/week.
- The intensity of back pain was evaluated with visual rating scale (VRS) ranging from ‘no pain’ to ‘very strong’ (Mannion, 2006) and referred to at least 3 months before this assessment.
- In order to analyze the significant differences and correlations (p<0.05) among ordinal variables, we used ANOVA test and Pearson correlation respectively.
- Categorical variables were analyzed with Chi-squared test with Yates correction or G² of Wilks. Significance for each cell was evaluated with Fisher’s Exact test when the observation number was low. P<0.05 was considered significant.
SISMES 2012 - Palermo 5-7 Ottobre
Results
SISMES 2012 - Palermo 5-7 Ottobre
Anagraphic and anthropometric features
N. 115 Age (years) Weight (Kg) Height (m) BMI
Media 49,32 70,30 1,68 24,93
Dev. Stand. 6,19 13,02 0,09 3,58
Età (anni) Peso (kg) Statura (cm) IMC0
20
40
60
80
100
120
140
160
180
Donne (n=70) Uomini (n=45)
*p<0.05 women vs. men
*
*
*
SISMES 2012 - Palermo 5-7 Ottobre
Matrice di correlazione di Pearson
Variabili Sesso Età(anni) Peso (Kg) Statura(m) IMC Sesso 1 -0,028 0,611 0,741 0,218
Età (anni) 0,028 1 0,136 -0,164 0,330
Peso (Kg) 0,611 0,136 1 0,666 0,793
Statura (m) 0,741 -0,164 0,666 1 0,084
IMC 0,218 0,330 0,793 0,084 1
I valori in grassetto sono diversi da 0 al livello di significatività alfa=0,05
Valori di p
Variabili Sesso Età(anni) Peso (Kg) Statura(m) IMC
Sesso 0 0,772 < 0,0001 < 0,00010,021
Età (anni) 0,772 0 0,150 0,0820,000
Peso (Kg) < 0,0001 0,150 0 < 0,0001
< 0,0
001
Statura(m) < 0,0001 0,082 < 0,0001 00,374
IMC 0,021 0,000 < 0,0001 0,374 0
I valori in grassetto sono diversi da 0 al livello di significatività alfa=0,05
Coefficienti di determinazione (R²)
Variabili Sesso Età (anni) Peso (Kg)Statura(
m) IMCSesso 1 0,001 0,374 0,549 0,047
Età (anni) 0,001 1 0,019 0,027 0,109
Peso (Kg) 0,374 0,019 1 0,444 0,628
Statura (m) 0,549 0,027 0,444 1 0,007
IMC 0,047 0,109 0,628 0,007 1
Correlation among gender, age, weight,
height and BMI
SISMES 2012 - Palermo 5-7 Ottobre
Correlations
20 25 30 35 40 45 50 55 60 65 7015
20
25
30
35
40
f(x) = 0.186336491174807 x + 15.6611285551339R² = 0.109075353563096
Age (years)
BMI
40 50 60 70 80 90 100 11015
20
25
30
35
40
f(x) = 0.215096970607834 x + 9.77318503389561R² = 0.628243771060478
Weight (Kg)
BMI
1.4 1.5 1.6 1.7 1.8 1.940
50
60
70
80
90
100
110
f(x) = 91.8770912120717 x − 83.8652978014367R² = 0.44421435384739
Height (m)
Wei
ght (
Kg)
SISMES 2012 - Palermo 5-7 Ottobre
BMI
1.8%
50.0%39.3%
7.1% 1.8%
UnderweightNormal weightOverweightClass I ObeseClass II Obese
SISMES 2012 - Palermo 5-7 Ottobre
BMI and Gender
55% weight gain in men vs. 46% in women
Underweight Normal weight
Overweight Class I Obese Class II Obese0%
10%
20%
30%
40%
50%
60%
3%
54%
37%
6%3%
45% 45%
10%
WomenMen
P = 0,446
SISMES 2012 - Palermo 5-7 Ottobre
BMI and educational qualification
3%
55%
42%
Educational Qualification
D. Media Inf. D. Media Sup. Laurea
Normal weight
Overweight Obese0%
10%
20%
30%
40%
50%
60%
70%
80%
4% 3%
49%
58%
78%
47%
40%
22%
Middle School L.High School L.Univ. Degree
P = 0,994
Significatività per cella (Test esatto di
Fisher)Middle School L. High School L. Univ. Degree
Normal weight > < >
Overweight > < >
Obese < > <
I valori in rosso sono significativi a livello alfa=0,05
SISMES 2012 - Palermo 5-7 Ottobre
BMI and lifestyle
66.3%
33.7%
Lifestyle
SedentaryActive
Normal weight Overweight Obese0%
10%
20%
30%
40%
50%
60% 53%
33%
13%
58%
42%
SedentaryActive
P = 0,906
Sedentary Active
Normal weight < >
Overweight < >
Obese > <
I valori in rosso sono significativi a livello alfa=0,05
SISMES 2012 - Palermo 5-7 Ottobre
Back pain
Cerv. Thor. Lumb.0%
10%
20%
30%
40%
50%
60%
70%
80%
31%
76%
29%
20%
7%
26%22%
9%
2%
No painVery MildMildModerateStrongVery strong
SISMES 2012 - Palermo 5-7 Ottobre
Pain and Gender
Women Men0%5%
10%15%20%25%30%35%40%45%
23%
42%
32%
21%18%24%
28%
13%
No painMildModerateStrong
Women Men0%
5%
10%
15%
20%
25%
30%
35%
40%
27%31%31%
40%
25% 26%
16%
3%
No painMildModerateStrong
Cervical tract
Lumbar tract
P= 0,991
P= 0,986
SISMES 2012 - Palermo 5-7 Ottobre
Pain and BMI
P= 0,182No pain Mild Moderate Strong
0%
10%
20%
30%
40%
50%
60%
70%
4%0%
12%5%
64%
46%41%
60%
32%
42%
29% 30%
0%
12%18%
5%
UnderweightNormal weightOverweightObese
No pain Mild Moderate Strong0%
10%
20%
30%
40%
50%
60%
70%
8%
0%
10%
0%
54%61%
50%56%
35% 32% 30%33%
4%7% 10% 11%
UnderweightNormal weightOverweightObeseP= 0,742
Cervical tract
Lumbar tract
SISMES 2012 - Palermo 5-7 Ottobre
Pain and Lifestyle
Sedentary Active0%
5%
10%
15%
20%
25%
30%
35% 30%
35%
26%
21%19%
24%25%21% No pain
MildModerateStrong
Cervical tract
Sedentary Active0%
5%
10%
15%
20%
25%
30%
35%
40%
28%30%
33%37%
26%22%
14%11%
No painMildModerateStrong
Lumbar tract
P= 0,965
P= 0,865
SISMES 2012 - Palermo 5-7 Ottobre
Conclusions
A high percentage of our sample of office employees shows overweight and back pain.
BMI is significantly associated with gender, educational qualification (high school license and university degree) and sedentary lifestyle.
A higher percentage of overweight active employees than sedentary those might be due to incorrect nutritional habits.
The employees mainly show cervical and lumbar pain which is stronger in the women than men.
Pain intensity is not associated with weight status and lifestyle and this might be due to the maintaining of impaired postures when working.
Programs of nutritional and postural activity may be useful to improve health condition and reduce the risk of disease-related obesity and back pain.