Page 46 - Petelin, Ana, Nejc Šarabon, Boštjan Žvanut, eds. 2017. Zdravje delovno aktivne populacije ▪︎ Health of the Working-Age Population. Proceedings. Koper: Založba Univerze na Primorskem/University of Primorska Press
P. 46
avje delovno aktivne populacije | health of the working-age population 44 ably had an impact on the choice of the participants. We found it interesting
to investigate the motivational factors of those participants who continued the
nutritional assessment for a long period.
In the identification of pre-treatment factors related to weight loss in obe-
sity treatment, Elfhag and Rössner (2010) found out what could be the strongest
factor for predicting the treatment outcome. Several factors have been associ-
ated with weight loss and attrition: contrasting feeling about the nutritional as-
sessment, male gender, younger age, fast or slow weight loss (Elfhag and Röss-
ner, 2010). Most of these aspects are correlated with psychological factors, such
as the impact of a lower quality of life, emotional lability, and eating disorders
(Elfhag in Rössner, 2010).
Berkatis et al. (2000) investigate gender differences in the utilization of
health care services. The study has shown that women had a significantly high-
er average number of visits in their primary care clinics and diagnostic ser-
vices than men. Our results also show a higher use of nutritional counselling
by women. Knowing that most of the participants did not declare any health
problem, we can conclude that probably women care about their future health
more than men.
In a cross-sectional study, Turconi et al. (2012) investigated the anthro-
pometric data of the population of northern Italy. Most of the subjects were
overweight (average BMI = 28.4 kg/m2), only 30% of the sample had adequate
dietary status. In our analysis of the BMI classification of the participants, we
noticed that the participants were not exclusively obese people (BMI > 30), but
that 70% of the participants had a BMI lower than 30. Thus, the reasons why a
normal-weight person decides to attend nutritional counselling include a cur-
rent disease (or prevention of health comorbidities), and nutritional assessment
for physical activity or for an alternative food regime.
In the analysis of health status of the participants we discovered the pres-
ence of a health problem or pathological state. The health status of the partic-
ipants was collected by direct interview and not all the participants gave us a
medical confirmation eventual present disease or health comorbidity. Having
many different information about health status, we decided to divide them in
different groups: gastrointestinal disease, endocrine disorders, blood disease,
respiratory disease, and presence of neoplasm, neurological disorders, muscu-
lar disorders, bone disease, dermatology disease, urinary disease and repro-
ductive system disease, emotional lability and behavior disorders, combination
of more disorders/diseases.
Most of the participants who attended nutritional counselling did not
declare any health problem. The analysis of the health status of the attendees
showed us that the health status does not give a prediction of the duration of
the nutritional assessment. We find interesting the fact, why is the prevalence
of health attendees so high. A similar phenomenon observed Milunpolo et al.
(1997) in Finland population, where noticed a high number of physician con-
tacts per year also if the stability of perceived health status was relatively good.
to investigate the motivational factors of those participants who continued the
nutritional assessment for a long period.
In the identification of pre-treatment factors related to weight loss in obe-
sity treatment, Elfhag and Rössner (2010) found out what could be the strongest
factor for predicting the treatment outcome. Several factors have been associ-
ated with weight loss and attrition: contrasting feeling about the nutritional as-
sessment, male gender, younger age, fast or slow weight loss (Elfhag and Röss-
ner, 2010). Most of these aspects are correlated with psychological factors, such
as the impact of a lower quality of life, emotional lability, and eating disorders
(Elfhag in Rössner, 2010).
Berkatis et al. (2000) investigate gender differences in the utilization of
health care services. The study has shown that women had a significantly high-
er average number of visits in their primary care clinics and diagnostic ser-
vices than men. Our results also show a higher use of nutritional counselling
by women. Knowing that most of the participants did not declare any health
problem, we can conclude that probably women care about their future health
more than men.
In a cross-sectional study, Turconi et al. (2012) investigated the anthro-
pometric data of the population of northern Italy. Most of the subjects were
overweight (average BMI = 28.4 kg/m2), only 30% of the sample had adequate
dietary status. In our analysis of the BMI classification of the participants, we
noticed that the participants were not exclusively obese people (BMI > 30), but
that 70% of the participants had a BMI lower than 30. Thus, the reasons why a
normal-weight person decides to attend nutritional counselling include a cur-
rent disease (or prevention of health comorbidities), and nutritional assessment
for physical activity or for an alternative food regime.
In the analysis of health status of the participants we discovered the pres-
ence of a health problem or pathological state. The health status of the partic-
ipants was collected by direct interview and not all the participants gave us a
medical confirmation eventual present disease or health comorbidity. Having
many different information about health status, we decided to divide them in
different groups: gastrointestinal disease, endocrine disorders, blood disease,
respiratory disease, and presence of neoplasm, neurological disorders, muscu-
lar disorders, bone disease, dermatology disease, urinary disease and repro-
ductive system disease, emotional lability and behavior disorders, combination
of more disorders/diseases.
Most of the participants who attended nutritional counselling did not
declare any health problem. The analysis of the health status of the attendees
showed us that the health status does not give a prediction of the duration of
the nutritional assessment. We find interesting the fact, why is the prevalence
of health attendees so high. A similar phenomenon observed Milunpolo et al.
(1997) in Finland population, where noticed a high number of physician con-
tacts per year also if the stability of perceived health status was relatively good.
