JOURNAL OF MEDICAL RESEARCH
PREVALENCE AND RELATED FACTORS OF OVERWEIGHT
AND OBESE OLDER ADULTS IN TWO COMMUNES
IN THE NORTHERN MOUNTAINOUS REGION OF VIETNAM
Vo Hoang Long, Bui Van Nhon, Nguyen Si Anh Hao,
Tran Minh Hien, Bui Van Tung, Vu Đang Khoi,
Pham Van Quyet, Nguyen Hoang Nguyen, Nguyen Thi Lien
Hanoi Medical University, Vietnam
A cross-sectional study was conducted on 354 people aged ≥ 60 in two communes in Chiem Hoa district,
Vietnam to describe the prevalence and various factors associated with being overweight or obese. A majority of the population (n = 218, 61.6%) was female . The median age was 67, with 60.4% of the population
between 60 - 69 years old. More than two-thirds were of the Tay ethnic group. Agriculture was the main occupation (88.4%). Half of the population had only primary education. The prevalence of overweight and obesity among the population was 28.2% and 43.8%, respectively. In a multivariate regression, abdominal overweight and obesity were associated with gender, ethnic group, and smoking (p < 0.05). Abdominal obesity
(obesity by waist-hip-ratio (WHR)) was positively associated with female gender (OR 43.64, 95%CI 13.15 144.86) and negatively associated with smokers and people in ethnic groups other than Kinh and Tay.
Keywords: overweight; obesity; older adults; Vietnam Northern Mountainous region
I. INTRODUCTION
Overweight and obesity have been increas-
2011 reported the prevalence of overweight
ing rapidly in many countries around the world,
and obesity in the population was 29.4% and
including Vietnam. According to the World
15.1% respectively, while Thailand was one of
Health Organization (WHO), overweight and
the countries with the highest prevalence of
obesity are defined as abnormal or excessive
obesity in the world (33% in men and 43% in
fat accumulation that may impair health [1].
women) in the past two decades alone [3].
The figures for overweight and obesity world-
In Vietnam, overweight and obesity among
wide were over 1.9 billion people and over
older adults accounted for approximately 25%
650 million people, respectively. In America,
of the population [4]. The Vietnam National
the prevalence of obesity in men and women
Institute of Nutrition reported that the propor-
aged above 65 years increased to 40.5% and
tion of obesity increases with age and that two
40.3% respectively between 1990 and 2010
-thirds of the overweight population is aged
[2]. The Malaysian Health and Disease Survey
over 45 years [4]. Although individuals with
obesity are evaluated according to their body
Corresponding author: Vo Hoang Long, Hanoi Medical
University
mass index (BMI), many previous studies
Email:
direct cause of morbidity and mortality. Hence,
Received: 08/3/2018
abdominal obesity (obesity by the waist-hip-
Accepted: 05/11/2018
ratio (WHR)) is more closely related to risk of
116
have reported that body fat distribution is the
JMR 116 E3 (7) - 2018
JOURNAL OF MEDICAL RESEARCH
morbidity and death than gluteofemoral obe-
In which:
sity. WHR as an indicator of abdominal obesity
n is sample size;
may better predict risk for severe diseases
than BMI, including heart disease, diabetes
mellitus type 2, and Metabolic Syndrome [5].
WHR is also used to diagnose overweight and
obesity. WHR is calculated as waist circumference divided by hip circumference.
Kim Binh and Xuan Quang are two mountainous communes in northern Vietnam, located in Chiem Hoa district in Tuyen Quang
province. Overweight and obesity has not
been studied by WHR in this area, especially
in the elderly population aged ≥ 60 years. The
provision of information on overweight and
obesity in the elderly in these two communes
is necessary to suggest appropriate interventions and counseling. Therefore, this study
aims to describe the prevalence and related
factors of overweight and obesity by WHR
among older adults in two northern mountainous communes in the Tuyen Quang province
of Vietnam.
p is the expected proportion of overweight
and obesity among people aged 60 and older
(estimated p = 0.5);
ε: is the margin of error; α is the level of
statistical significance (to obtain a 95% confidence interval of the proportion, the α is set at
0.05, thus Z is 1.96). To estimate a proportion
of 0.5 with a margin of error of 0.11, the smallest sample size needed is 317. A total of 354
subjects were included in the study. A simple
random sampling technique was utilized to
ensure the representation of older adults living
in these communes. In the first stage of sampling, all the resident aged 60 and older living
in Kim Binh and Xuan Quang communes were
listed. The second stage consisted of selecting
354 objects randomly from a list of the elderly.
In the third stage, the appointment invitations
were sent for medical examination and data
collection.
3. Data Collection
II. METHODS
We collected the data through face-to-face
1. Study design and setting
We conducted a cross-sectional study in
two communes (Kim Binh and Xuan Quang) in
Chiem Hoa district, Tuyen Quang province.
People aged 60 or older residing in these two
communes were enrolled.
interviews using a structured questionnaire,
which included four main parts: personal characteristics, physical activity, smoking and alcohol drinking. For overweight and obesity, we
measured waist circumference and hip circumference.
4. Measures and Instruments
2. Sample size
The sample size of the study was calculated according to the following formula
4.1. Personal Characteristics
Information regarding gender (male and
female), age (60 - 69, 70 - 79, ≥ 80), ethnicity
(p.(1 - p)
n = Z2(1- α/2)
(p.ε)2
JMR 116 E3 (7) - 2018
(Kinh, Tay, others), occupation (farmer and
others) and education (none, primary, lower
117
JOURNAL OF MEDICAL RESEARCH
secondary and upper secondary and higher)
WHR < 0.85 among women were classified as
was collected.
overweight. (ii) Men with WHR ≥ 1.00 and
Physical Activity
women with WHR ≥ 0.85 were classified as
having abdominal obesity (obesity by WHR).
We used the International Physical Activity
(iii) The individuals were classified as normal
Questionnaire (IPAQ) to measure physical
for men with a WHR < 0.90 and women with a
activity. The individuals were considered capa-
WHR < 0.80 [6; 7]. Hence, the subjects with
ble of physical activity if they reported partici-
criteria (i) and (ii) were considered as abdomi-
pation in moderate-intensity physical activity
nal overweight and obesity.
and vigorous-intensity physical activity for at
least 60 minutes for 7 days per week.
Smoking and Alcohol Use
The status of current smoking or drinking
was reported.
5. Data Analysis
Data entry was performed by Epidata 3.1
(EpiData Association). After data cleaning,
statistical analyses were performed using
Stata 12.0 (StataCorp). Qualitative variables
Overweight and Obesity
Measurement of waist circumference, hip
circumference: Stand up straight and breathe
out. Use a tape measure to check the distance
around the smallest part of the waist, just
above the belly button (waist circumference).
Then measure the distance around the largest
were described in percentage, and quantitative
variables
were
described
in
mean
(standard deviation) and median (min–max)
where appropriate. Multivariate logistic regression was used to examine the factors associated with overweight and obesity. A p-value of
< 0.05 was considered statistically significant.
part of the hips to the widest part of the but-
6. Research ethics
tocks (hip circumference).
All subjects received an explanation about
Overweight and obesity: WHR was calcu-
the purpose of the study. Personal information
lated as waist measurement divided by hip
of the subjects was kept confidential and
measurement (same unit of measurement). (i)
coded. Individuals with overweight or obesity
0.90 ≤ WHR < 1.00 among men and 0.80 ≤
were provided with consultation.
III. RESULTS
Table 1. Personal characteristics of the research subjects (n = 354)
Characteristics
n
%
Women
218
61.6
Men
136
38.4
214
60.4
Gender
Age Group
60 - 69
118
JMR 116 E3 (7) - 2018
JOURNAL OF MEDICAL RESEARCH
Characteristics
n
%
70 - 79
83
23.5
≥ 80
57
16.1
Age Group
Median (min –max)
67 (60 - 90)
Mean±SD
69.5 ± 8.1
Ethnic Group
Kinh
59
16.7
Tay
244
68.9
Others*
51
14.4
313
88.4
41
11.6
None
44
12.4
Primary
178
50.3
Lower secondary
102
28.8
Upper secondary or higher
30
8.5
Job
farmers
Others
**
Education
*Others: Muong and Nung ethnic;
**Others: Officials, workers, retirees and freelance occupation.
The characteristics of the study sample are described in Table 1. The proportion of women
was 61.6%. The figure for the elderly aged 60 to 69 years was the highest, at 60.4%. The Tay
ethnic groups constituted 68.9% of the elderly. The main occupation was agriculture (88.4%). The
figure for older adults with primary education was the highest, at 50.3%.
Figure 1. The prevalence of overweight and obesity in the elderly (n = 354)
JMR 116 E3 (7) - 2018
119
JOURNAL OF MEDICAL RESEARCH
As shown in Figure 1, the prevalence of abdominal obesity among older adults was the highest, at 43.8%. The figures for overweight and normal were 28.2% and 28.0% respectively. The
figure for average WHR was 0.89 ± 0.07.
Table 2. Factors associated with prevalence of overweight and obesity
by WHR in the elderly (n = 354)
Associated factors
Overweight and obesity (n,%)
Multivariate
OR
95%CI
Gender
Men
65 (47.8)
1
-
Women
189 (85.7)
4.60*
2.27 - 9.33
60 - 69
152 (71.0)
1
-
70 - 79
60 (72.3)
1.05
0.55 - 2.00
≥ 80
42 (73.7)
0.96
0.44 - 2.07
Kinh
38 (64.4)
1
-
Tay
181 (74.2)
1.84
0.91 - 3.70
Other
35 (68.6)
1.16
0.47 - 2.89
Yes
67 (69.1)
1
-
No
187 (72.8)
1.06
0.57 - 1.96
No
231 (79.9)
1
-
Yes
23 (35.4)
0.38*
0.19 - 0.78
No
231 (79.93)
1
-
Yes
23 (35.38)
0.95
0.47 - 1.95
Age group
Ethnic groups
Physical activity
Smoking
Drinking alcohol
*: The significance level was set at p < 0.05; OR: Odds ratio; CI: Confidence interval.
Table 2 shows association with the overall prevalence of overweight and obesity. The odds
ratio of overweight and obesity among women was higher than among men (ORs: 4.60). The
odds of overweight and obesity among older adults smoking was less than that of non-smokers
(ORs: 0.38). These factors were statistically significant.
120
JMR 116 E3 (7) - 2018
JOURNAL OF MEDICAL RESEARCH
Table 3. Factors associated with prevalence of abdominal obesity in
the elderly (n = 354)
Associated factors
Multivariate
Abdominal obesity (n,%)
OR
95%CI
6 (4.4)
1
-
149 (68.4)
43.64*
13.15 - 144.86
60 - 69
91 (42.5)
1
-
70 - 79
36 (43.4)
1.08
0.55 - 2.14
≥ 80
28 (49.1)
1.49
0.66 - 3.34
Kinh
27 (45.8)
1
-
Tay
113 (46.3)
1.19
0.57 - 2.50
*
Gender
Men
Women
Age group
Ethnic group
15 (29.4)
0.35
0.13 - 0.91
Yes
36 (37.1)
1
-
No
119 (46.3)
1.44
0.76 - 2.73
No
153 (52.9)
1
-
Yes
2 (3.1)
0.53
0.09 - 3.09
No
147 (54.0)
1
-
Yes
8 (9.8)
1.16
0.34-3.90
Other
Physical activity
Smoking
Drinking alcohol
*: The significance level was set at p < 0.05; OR: Odds ratio; CI: Confidence interval.
Table 3 shows the association with the prevalence of abdominal obesity among older adults.
The odds ratio of abdominal obesity among women was higher than that among men (ORs:
43.64). The odds of abdominal obesity among others ethnic groups was less than that for Kinh
ethnic group (ORs: 0.35). These factors were statistically significant.
JMR 116 E3 (7) - 2018
121
JOURNAL OF MEDICAL RESEARCH
IV. DISCUSSION
This is the first study to assess the prevalence of overweight and obesity by WHR
among older adults in two communes of the
northern mountainous areas in Vietnam. The
results indicated the prevalence of abdominal
obesity was the highest, at 43.8%, while the
figures for overweight and normal people were
similar (28.2% and 28.0% respectively). The
overall prevalence of overweight and obesity
in our study (72.0%) was much higher compared to the figure in Mo Cay Bac district of
Ben Tre province (28.2%) [8]. The obesity
classification between BMI and WHR might
contribute to this difference. The explanation
for this may be due to the fact that more than
three quarters of the elderly adult population
belongs to an ethnic minority with an agricultural job. The proportion of the elderly with
primary school education was the highest, at
50.3%. In particular, Kim Binh and Xuan
Quang are two poor communes in the northern mountainous area, therefore, awareness
of the locals is not only low but access to
health care services for them is also difficult.
ings among Malaysian and Indian populations
[9; 10]. The prevalence of overweight and obesity in older adults who smoke was less than
that of non-smokers. This may be explained
because smoking is associated with lower
weight and smoking cessation is associated
with weight gain [11; 12]. Reductions in smoking prevalence have been suggested as one
of the factors associated with an increase in
obesity [11; 12]. There is a statistically significant impact of the above factors on the overall
prevalence of overweight and obesity among
older adults.
Particularly, factors associated with abdominal obesity in the elderly, including gender, ethnic group and smoking were statistically significant. The prevalence of abdominal
obesity was higher among women than among
men. The prevalence of abdominal obesity of
other ethnic groups including Muong and
Nung was 0.35 times less than that of Kinh
ethnic group. The explanation for this may be
becaause the customs and the habits between
Kinh and ethnic minorities are different. A
report of the Vietnam Committee on Ethnic
Minority Affairs showed the general poverty
In this study, the prevalence of abdominal
concentrated on ethnic majorities such as
obesity among women was significantly higher
Muong and Nung, hence the malnutrition rate
than among men, at 68.4% and 4.4% respec-
among Tay and Muong people remains high
tively. The figures for a study among an Indian
even in recent years. Hence, the prevalence of
population were about 12% in men and 68% in
non-communicable
women [9]. Our result was also consistent with
ethnic majorities are much less than that of the
a study among a Malaysian population which
Kinh ethnic group [13]. The prevalence of
found a higher prevalence of abdominal
abdominal obesity in older adults who smoke
obesity among female respondents, at 6.2% in
is less than that of non-smokers. This is con-
males and 54.2% in females [10].
sistent with the results of a study in the United
disease
among
these
In general, the overall prevalence of over-
States that the probability of abdominal
weight and obesity has been found to be
obesity in nonsmokers was higher than that in
significantly higher among women than among
smokers [14]. A study from data of the 2002
men. This result was consistent with the find-
Swiss
122
Health
Survey indicated
that ex-
JMR 116 E3 (7) - 2018
JOURNAL OF MEDICAL RESEARCH
smokers had higher ORs of being overweight
and obesity. The results of our study also sug-
or obese with respect to non-smokers [15]. A
gest that there is a need for further research in
national survey in Brazil found a higher preva-
other areas among older adults in Vietnam.
lence of abdominal obesity in adolescents who
ACKNOWLEDGMENTS
smoke than in nonsmokers [16]. It is likely that
these studies are conducted on the working
The authors would like to thank the Hanoi
age population and the prevalence of over-
Medical University and Hospital for recom-
weight and obesity is based on BMI, while our
mending the physicians who examined the
findings only focus on overweight and obesity
patients in this study, especially the elderly in
by WHR in the elderly aged 60 and older.
the two communes of Kim Binh and Xuan
This is the first study in an area of Viet-
Quang who participated in this study.
nam’s northern mountainous region. However,
REFERENCES
this study has some limitations which should
be considered while interpreting the results.
1. World Health Organization (2014).
The survey used a cross-sectional design,
Global strategy on diet, physical activity and
which prevented any interpretation about the
health.
causal relationship. Sample size in this study
is representative of two communes in this area
only.
V. CONCLUSION
2. Fakhouri TH, Ogden CL, Carroll MD,
Kit BK, Flegal KM (2012). Prevalence of obesity among older adults in the United States,
2007 - 2010: US Department of Health and
Human Services, Centers for Disease Control
Using the WHR for abdominal overweight
and obesity, our findings highlight a remarkably high overall prevalence of abdominal over-
and Prevention, National Center for Health
Statistics.
3. Teerawattananon Y., Luz A (2017).
weight and obesity among the population aged
Obesity in Thailand and its economic cost esti-
above 60 years. The prevalence of abdominal
mation. ADBI Working Paper Series.
obesity is significantly higher among women
than among men. Gender, ethnic group and
smoking are known as factors which are associated with abdominal overweight and obesity.
We suggest that the local authorities of the
4. Viện Dinh Dưỡng Quốc Gia (2017).
Kết quả điều tra thừa cân - béo phì và một số
yếu tố liên quan ở người Việt Nam 25 - 64
tuổi.
two communes should transmit messages
5. Price GM, Uauy R, Breeze E, Bulpitt
(electronic and print media) related to over-
CJ, Fletcher AE (2006). Weight, shape, and
weight and obesity to the entire population of
mortality risk in older persons: elevated waist-
older adults, not only to broadcast media such
hip ratio, not high body mass index, is associ-
as radio, the internet and television but also to
ated with a greater risk of death. The Ameri-
print media such as papers, magazines, leaf-
can journal of clinical nutrition, 84(2), 449 - 60.
lets and wall posters. Regular health examina-
6. World Health Organization (2000).
tion for all older adults should be organized for
Obesity: preventing and managing the global
timely prevention and treatment of overweight
epidemic: World Health Organization.
JMR 116 E3 (7) - 2018
123
JOURNAL OF MEDICAL RESEARCH
7. Australia HW (1995). A National Obe-
12. Flegal KM, Troiano RP, Pamuk ER,
sity Strategy. Australian Society for the Study
Kuczmarski RJ, Campbell SM (1995). The
of Obesity.
influence of smoking cessation on the preva-
8. Hà Thị Ninh, Lê Hoàng Ninh, Nguyễn
lence of overweight in the United States. The
Thị Kim Tiến (2014). Suy dinh dưỡng ở
New England journal of medicine, 333(18),
người cao tuổi tại huyện Mỏ Cày Bắc tỉnh Bến
1165 - 1170.
Tre năm 2011. Tạp chí nghiên cứu Y học Hồ
Chí Minh, 18(6).
13. Hai-Anh Dang (2012). Vietnam: A
widening poverty gap for ethnic minorities.
9. Kurpad SS, Tandon H, Srinivasan K
14. Flegal KM (2007). The effects of
(2003). Waist circumference correlates better
changes in smoking prevalence on obesity
with body mass index than waist-to-hip ratio in
prevalence in the United States. American
Asian Indians. The National medical journal of
journal of public health, 97(8), 1510 - 1514.
India, 16(4),189 - 192.
15. Chiolero A, Jacot‐Sadowski I, Faeh
10. Ahmad N, Adam SI, Nawi AM, Has-
D, Paccaud F, Cornuz J (2007). Association
san MR, Ghazi HF (2016). Abdominal Obesity
of cigarettes smoked daily with obesity in a
Indicators: Waist Circumference or Waist-to-hip
general adult population. Obesity J, 15(5),
Ratio in Malaysian Adults Population. Interna-
1311 - 1318.
tional journal of preventive medicine, 7, 82.
16. Bertoni N, de Almeida LM, Szklo M,
11. Albanes D, Jones DY, Micozzi MS,
Figueiredo VC, Szklo AS (2018). Assessing
Mattson ME (1987). Associations between
the relationship between smoking and abdomi-
smoking and body weight in the US popula-
nal obesity in a National Survey of Adoles-
tion: analysis of NHANES II. American journal
cents in Brazil. Preventive medicine, 111,
of public health, 77(4), 439 - 444.
1 - 5.
124
JMR 116 E3 (7) - 2018