6360abefb0d6371309cc9857
Abstract
Introduction: non-alcoholic fatty liver disease (nafld) is increasingly recognized as a significant public health concern, with diet and lifestyle factors playing a crucial role in its development. This study aims to assess the association between dietary habits, lifestyle factors, and the prevalence of nafld in a selected population. Methodology: a cross-sectional study was conducted on 500 participants, utilizing a structured questionnaire that gathered data on demographic information, dietary habits, lifestyle factors, and health history. The chi-square test was employed using spss software to analyze the associations between these factors and the presence of nafld.
Results: significant associations were found between the prevalence of nafld and high consumption of fried foods, sugary beverages, physical inactivity, and smoking. Additionally, a higher prevalence of nafld was observed in individuals with conditions such as diabetes, hypertension, hyperlipidemia, and hepatitis.
Discussion: The findings indicate that unhealthy dietary habits and sedentary lifestyles contribute to the risk of developing nafld. These results align with existing literature, reinforcing the need for targeted public health interventions.
Conclusion: this study highlights the importance of dietary and lifestyle modifications in reducing the prevalence of nafld. Efforts to promote healthier eating and increased physical activity are essential in addressing this growing health issue.
Keywords: non-alcoholic fatty liver disease (nafld); dietary habits; lifestyle factors; physical activity; cross-sectional study public health
Introduction
Nafld (non-alcoholic
fatty liver disease) is an acquired metabolic disease induced by metabolic
stress and characterized by fat deposition in the liver. It advances at
different rates of progression among individuals but typically follows a
four-stage course. The first stage involves hepatic fat deposition, also known
as non-alcoholic fatty liver (nafl). The second stage, marked by excessive
hepatic fat deposition, occurs in approximately 7-30% of nafld patients and
causes liver inflammation known as nash. Persistent liver inflammation induces
hepatic fibrous tissue formation; this stage is called fibrosis and is
characterized by the activation of the hepatic stellate cells and the replacement
of hepatocytes with fibrillar collagen and other extracellular matrix proteins
which compromise hepatic function and structure. The last stage is cirrhosis, a
severe stage of nafld during which hepatocytes are completely replaced by
fibrosis, leading to liver failure1,2.
Steatosis,
ballooning, and lobular inflammation in liver biopsy are necessary for the
primary histological features of non-alcoholic steatohepatitis (nash); other
histological changes include polymorphonuclear infiltrates, portal
inflammation, apoptotic bodies, clear vacuolated nuclei, apoptosis, and
megamitochondria3. The most common
chronic liver disease worldwide is nafld4.
Globally, the pooled prevalence of nafld is 25.24%, with significant regional
heterogeneity. The middle east and south american countries have reported the
highest prevalence rates, which are primarily ultrasound-based, at over 30%. In
contrast, the few studies from africa report far lower prevalence rates, at
around 13%5. However, the majority of
research on the epidemiology of nafld has come from north america and the usa,
where the prevalence of nafld is between 21 and 24.7%. Research that relied on
blood indicators consistently found a lower prevalence than those that relied
on imaging. Europe has a comparable frequency of nafld (24%), according to a
meta-analysis of research released up until 20152.
12.5-38% on the chinese mainland, 23-26% in japan, 27% in korea, 12-51% in
taiwan, 28% in hong kong, 9-32% in india, and 5-30% in other regions of south
asia and the far east (srilanka, malayasia, srilanka, and indonesia) are among
the variation. The so-called "lean nafld" or "non-obese
nafld," which accounts for about 10% of nafld cases and was first identified
in asian populations, is another facet of the epidemiology of nafld in asia. It
highlights asians' extraordinary predisposition to develop ms-related clinical
conditions at anthropometric parameters that are regarded as sub threshold for
obesity. Nafld in individuals who are considered "lean" also
originates from an enlarged adipose tissue that defies traditional measurements
but exhibits a comparable pattern of clinical consequences6. When compared to western nations, asia and
the pacific region have seen a more noticeable increase in the prevalence of
nafld throughout time, which is likely due to these regions' rapid and significant
changes in7.
There is a
strong pathogenic correlation between obesity and nafld, since obese
individuals have a higher prevalence of nafld and nafld subjects are nearly
invariably fat. Nafld is linked to the full range of obesity, from overweight
to obese and extremely obese. In this situation, nafld will be present in the
majority (>95%) of patients with extreme obesity receiving bariatric surgery8. Different degrees of insulin resistance are
thought to be the primary cellular defect underlying type 2 diabetes and
non-alcoholic fatty liver disease (nafld). Since that nafld affects more than
70% of patients with type 2 diabetic mellitus (t2dm), a strong correlation
between the two conditions has been demonstrated. Even in people with normal
blood alt levels, hyperglycemia and insulin resistance are thought to be risk
factors for more severe liver damage in nonalcoholic fatty liver disease
(nafld). Not only is diabetes a common co-morbidity of nafld, but it also plays
a role in the disease's natural history, contributing to increased inflammation
(nash), faster liver fibrosis progression, and the emergence of hepatocellular
carcinoma9. With up to 20% of people
having both nafld and t2dm experiencing clinically meaningful fibrosis, the
burden of nafld appears to be very high given the vast number of t2dm patients
globally. Although nafld is predisposed to by type 2 diabetes, the opposite is
also true. After accounting for several lifestyle and metabolic factors, there
is a two- to five-fold greater risk of developing type 2 diabetes in patients
with ultrasonography-defined nafld. Significantly, the risk of developing type
2 diabetes was significantly reduced to a level comparable to those without
nonalcoholic fatty liver disease (nafld) upon resolution of the fatty liver as
determined by ultrasonography. T2dm nafld was significantly higher in those
with worsening fatty liver throughout a 5-year period of time, according to
this study10. Ageing is significantly
associated with nafld, and one of the most reliable epidemiological factors for
nafld, nash, and fibrosis is getting older11.
It is not as simple to determine how sex affects the occurrence and progression
of nafld, though. The research that are now available are lopsided in terms of
sex, with some showing a preponderance of females and others showing a male
preponderance in the prevalence of nafld12.
Because
there are typically no symptoms in the early stages of nafld, it is referred to
as the silent illness13. Patients
with non-alcoholic fatty liver disease (nafld) have been shown to consume
considerably more calories per day overall, but their total dietary composition
differs just slightly from that of healthy controls14. Vegetable consumption was linked to a decreased risk of
hcc, but not fruit consumption, according to a meta-analysis by yang y et al.
The varying nutritional contents of fruits and vegetables may account for these
disparate impacts. Fruits are higher in calories and antioxidants, including
carotenoids and vitamins a, c, and e. Whether vegetables are good sources of
phytochemicals (carotenoids, tocopherols, and folate) that have anti-tumor
properties in a variety of disorders, in addition to dietary fibre and vitamins
a and e also provide such15. One way
to effectively lose weight is by food, either by alone or in combination with
increased physical activity and behaviour modification. On the other hand, poor
eating habits and nutritional imbalances are risk factors for obesity and
metabolic syndrome in addition to being closely linked to the onset and course
of nafld. Furthermore, for all nafld patients-obesity-free and those with it-a
balanced diet offers advantages beyond helping them lose weight16.
Objectives
to assess the association between dietary habits (such as the frequency of consuming fried foods, high-fat dairy products, fruits and vegetables and sugary beverages) and the prevalence of nafld.
To evaluate the relationship between lifestyle factors (such as physical activity levels and smoking status) and the risk of developing nafld.
To investigate the correlation between certain medical conditions (like diabetes, hypertension, and hyperlipidemia) and the presence of nafld.
To explore the demographic characteristics (age, gender) that may influence the risk of nafld in the population.
Methodology
Study setting: this study was conducted in saidu group of teaching hospital(sgth) swat khyber pakhtunkhwa pakistan.
Study design: this cross-sectional study was designed to explore the impact of diet and lifestyle on the prevalence of non-alcoholic fatty liver disease (nafld). The study aims to assess the association between dietary habits, lifestyle factors, certain medical conditions, and the prevalence of nafld among a diverse population. The study was conducted using a self-administered questionnaire, which included sections on demographic information, dietary habits, lifestyle factors, and health history.
Study population and sample size: the study was conducted on a sample of 500 participants, chosen to ensure a comprehensive analysis of the associations under investigation. A sample size of 500 was selected to allow for the generalization of the results across a broader population and to provide sufficient power for statistical analysis. The participants were selected from opd of saidu group of teaching hospital of various demographic groups to ensure diversity in age, gender, and other relevant characteristics.
Inclusion and exclusion criteria: participants aged below 18 and above were included in the study. Individuals with pre-existing liver diseases other than nafld were excluded to avoid confounding factors that could affect the study's results. Participants were recruited through random sampling, with efforts made to ensure representation from different age groups, genders, and socio-economic backgrounds.
Data collection
Data was collected using a structured questionnaire, which was divided into four sections: demographic information, dietary habits, lifestyle factors, and health history. The questionnaire was designed to capture detailed information on the participants' diet, lifestyle, and medical history, which are critical in assessing the risk factors associated with nafld. The dietary habits section included questions on the frequency of consuming fried foods, high-fat dairy products, fruits, vegetables, and sugary beverages. The lifestyle factors section captured information on physical activity levels and smoking status, while the health history section inquired about medical conditions like diabetes, hypertension, and hyperlipidemia, as well as nafld diagnosis and liver function tests.
Data analysis
The collected data was analyzed using the statistical package for the social sciences (spss) software. Descriptive statistics were used to summarize the demographic characteristics of the participants, as well as their dietary habits, lifestyle factors, and health history. The chi-square test was applied to examine the associations between dietary habits, lifestyle factors, medical conditions, and the prevalence of nafld. This statistical test was chosen because it is suitable for analyzing relationships between categorical variables, which are prevalent in this study. P value less than 0.05 was considered significant and above 0.05 was considered non-significant.
Ethical considerations
Ethical approval was obtained from ireb khyber medical college peshawar prior to the commencement of the study. Informed consent was obtained from all participants, and confidentiality of the data was maintained throughout the study. Participants were informed of their right to withdraw from the study at any time without any consequences.
Results
Table 1: distribution of nafld cases across different age groups.
|
Age group |
Nafld cases(n) |
Nafld prevalence% |
Total participants(n) |
|
Under 18 |
9 |
16.6% |
55 |
|
|
|
|
|
|
18-24 |
100 |
89.2% |
112 |
|
|
|
|
|
|
25-34 |
56 |
50.4% |
111 |
|
|
|
|
|
|
35-44 |
8 |
14.2% |
56 |
|
|
|
|
|
|
45-54 |
104 |
93.6% |
111 |
|
|
|
|
|
|
55-64 |
40 |
72.2% |
55 |
The
distribution of nafld cases across different age groups reveals significant
variations in prevalence rates (table 1).
Among participants under 18, nafld was present in 16.6% of the 55 individuals,
indicating a relatively lower occurrence in this age group (table 1). However, the prevalence was
markedly higher in the 18-24 age group, with 89.2% of the 112 participants
affected by nafld. Similarly, the 45-54 age group showed a high prevalence of
93.6%, with 104 out of 111 participants diagnosed with the condition. In contrast,
the 25-34 and 35-44 age groups had lower prevalence rates of 50.4% and 14.2%,
respectively, despite having similar total participant numbers. The 55-64 age
group also exhibited a significant prevalence rate of 72.2% among its 55
participants. These findings suggest that nafld prevalence varies considerably
with age, with the highest rates observed in the 18-24 and 45-54 age groups.
Table 2: distribution of
nafld cases among gender
|
Gender |
Nafld
Cases(n) |
Nafld
prevalence% |
Total
participants(n) |
P
value |
|
Male |
125 |
53.6% |
233 |
0.001 |
|
Female |
167 |
60.2% |
277 |
0.001 |
The
distribution of nafld cases among gender indicates that the prevalence of the
condition is slightly higher in females compared to males (table 2). Among the 233 male participants, 125 were diagnosed with
nafld, resulting in a prevalence rate of 53.6%. In contrast, out of 277 female
participants, 167 were affected by nafld, leading to a prevalence rate of
60.2%. The chi-square test yielded a significant p-value of 0.001 for both
genders, indicating a statistically significant difference in nafld prevalence
between males and females. This suggests that gender may play a role in the
susceptibility to nafld, with females being at a slightly higher risk in this
study population (figure 1).
Figure 1: naflc
cases
Table 3: association
between frequency of consuming fried foods and nafld prevalence
|
Frequency of consuming fried foods |
Nafld Cases(n) |
Nafld prevalence% |
Non nafld Cases(n) |
Non nafld prevalence% |
Total participants(n) |
P value |
|
Daily |
200 |
89.6% |
23 |
10.4% |
223 |
0.001 |
|
2-3 times a week |
111 |
71.6% |
55 |
28.4% |
155 |
0.001 |
|
Once a week |
4 |
7.4% |
52 |
92.6% |
56 |
0.001 |
|
Less than once a week |
2 |
3.6% |
53 |
96.4% |
55 |
0.001 |
The
association between the frequency of consuming fried foods and nafld prevalence
demonstrates a clear trend (table 3),
where higher consumption of fried foods is significantly associated with
increased nafld prevalence. Among participants who consumed fried foods daily,
89.6% (200 out of 223) were diagnosed with nafld, while only 10.4% did not have
the condition. Similarly, those who consumed fried foods 2-3 times a week had a
nafld prevalence of 71.6%, with 28.4% remaining unaffected. In contrast,
participants who consumed fried foods once a week or less had much lower nafld
prevalence rates, with only 7.4% of those eating fried foods once a week and
3.6% of those eating them less than once a week being diagnosed with the
condition. The chi-square test produced a significant p-value of 0.001 for all
consumption frequencies, indicating a strong and statistically significant
association between the frequency of fried food consumption and the prevalence
of nafld. This suggests that frequent consumption of fried foods is a
significant risk factor for developing nafld (figure 2).
Figure 2: association
between the frequency of consuming fried foods and nafld prevalence
Table
4: association between frequency of consuming
high-fat dairy products and nafld prevalence
|
Frequency of consuming high-fat dairy
products (e.g., full-fat milk, cheese): |
Nafld Cases(n) |
Nafld prevalence% |
Non nafld Cases(n) |
Non nafld prevalence% |
Total participants(n) |
P value |
|
Daily |
212 |
76.2% |
66 |
23.8% |
278 |
0.001 |
|
2-3 times a week |
90 |
81% |
21 |
19% |
111 |
0.001 |
|
Once a week |
9 |
16% |
47 |
84% |
56 |
0.001 |
|
Less than once a week |
15 |
27.2 |
40 |
72.8% |
55 |
0.001 |
The
association between the frequency of consuming high-fat dairy products and
nafld prevalence indicates a significant correlation, with higher consumption
linked to a greater prevalence of nafld (table
4). Among participants who consumed high-fat dairy products daily, 76.2%
(212 out of 278) were diagnosed with nafld, while 23.8% did not have the
condition. Those who consumed these products 2-3 times a week had an even
higher nafld prevalence of 81%, with 19% unaffected. In contrast, participants
who consumed high-fat dairy products less frequently, such as once a week or
less, had much lower nafld prevalence rates. Specifically, 16% of those
consuming these products once a week and 27.2% of those consuming them less
than once a week were diagnosed with nafld. The chi-square test revealed a
significant p-value of 0.001 across all frequencies of consumption, indicating
a statistically significant association between the intake of high-fat dairy
products and the prevalence of nafld. These findings suggest that frequent
consumption of high-fat dairy products is a considerable risk factor for
developing nafld (figure 3).
Figure 3: association
between the frequency of consuming high-fat dairy products and nafld prevalence
Table 5: association
between frequency of consuming fruits and vegetables and nafld prevalence
|
Frequency of consuming fruits and
vegetables |
Nafld Cases(n) |
Nafld prevalence% |
Non nafld Cases(n) |
Non nafld prevalence% |
Total participants(n) |
P value |
|
Daily |
56 |
33.5% |
111 |
66.5% |
167 |
0.001 |
|
Once a week |
278 |
83.4% |
55 |
16.6% |
333 |
0.001 |
The
association between the frequency of consuming fruits and vegetables and nafld
prevalence highlights a significant inverse relationship (table 5). Among participants who consumed fruits and vegetables
daily, only 33.5% (56 out of 167) were diagnosed with nafld, while a majority
of 66.5% did not have the condition. Conversely, those who consumed fruits and
vegetables only once a week showed a much higher nafld prevalence of 83.4%,
with only 16.6% of participants remaining unaffected. The chi-square test
produced a significant p-value of 0.001, indicating a strong and statistically
significant association between lower frequency of fruit and vegetable
consumption and higher nafld prevalence. These findings suggest that regular
consumption of fruits and vegetables may be protective against the development
of nafld.
Table 6: association
between physical activity levels and nafld prevalence
|
Physical activity (hrs) |
Nafld Cases(n) |
Nafld prevalence% |
Non nafld Cases(n) |
Non nafld prevalence% |
Total participants(n) |
P value |
|
None |
200 |
89.6% |
23 |
10.4% |
223 |
0.001 |
|
Less than 1 hour |
40 |
71.4% |
16 |
28.6% |
56 |
0.001 |
|
1-2 hours |
35 |
31.8% |
75 |
68.2% |
110 |
0.001 |
|
3-4 hours |
31 |
27.9% |
80 |
72.1% |
111 |
0.001 |
The
association between physical activity levels and nafld prevalence reveals a
significant inverse relationship (table
6), where lower levels of physical activity are associated with higher
nafld prevalence. Among participants who reported no physical activity, 89.6%
(200 out of 223) were diagnosed with nafld, while only 10.4% were not affected.
Those engaging in less than 1 hour of physical activity per week had a nafld
prevalence of 71.4%, with 28.6% remaining unaffected. In contrast, participants
who engaged in 1-2 hours and 3-4 hours of physical activity per week had much
lower nafld prevalence rates of 31.8% and 27.9%, respectively. The majority in
these groups did not have nafld, with non-nafld prevalence rates of 68.2% and
72.1%, respectively. The chi-square test yielded a significant p-value of 0.001
across all physical activity levels, indicating a statistically significant
association between higher levels of physical activity and a reduced risk of
nafld. These findings suggest that regular physical activity plays a protective
role against the development of nafld (figure
4).
Figure 4: association
between physical activity levels and nafld prevalence
Table 7: association
between frequency of consuming sugary beverages and nafld prevalence
|
frequency of consuming sugary beverages and
nafld prevalence |
Nafld Cases(n) |
Nafld prevalence% |
Non nafld Cases(n) |
Non nafld prevalence% |
Total participants(n) |
P value |
|
Daily |
140 |
83.8% |
27 |
16.2% |
167 |
0.001 |
|
2-3 times a week |
100 |
60.2% |
66 |
39.8% |
166 |
0.001 |
|
Once a week |
17 |
30.3% |
39 |
69.7% |
56 |
0.001 |
|
Less than once a week |
30 |
27% |
81 |
73% |
111 |
0.001 |
The
association between the frequency of consuming sugary beverages and nafld
prevalence shows a significant positive correlation (table 7), where higher consumption of sugary beverages is linked to
an increased prevalence of nafld. Among participants who consumed sugary
beverages daily, 83.8% (140 out of 167) were diagnosed with nafld, while only
16.2% were not affected. Those who consumed sugary beverages 2-3 times a week
had a nafld prevalence of 60.2%, with 39.8% remaining unaffected. In contrast,
participants who consumed sugary beverages once a week or less showed much
lower nafld prevalence rates, with 30.3% of those consuming them once a week
and 27% of those consuming them less than once a week being diagnosed with the
condition. The chi-square test yielded a significant p-value of 0.001 across
all consumption frequencies, indicating a strong and statistically significant
association between the intake of sugary beverages and the prevalence of nafld.
These findings suggest that frequent consumption of sugary beverages is a
considerable risk factor for developing nafld.
Table 8: association
between smoking status and nafld prevalence
|
Smoking status |
Nafld Cases(n) |
Nafld prevalence% |
Non nafld Cases(n) |
Non nafld prevalence% |
Total participants(n) |
P value |
|
Yes, daily |
100 |
89.2% |
12 |
10.8% |
112 |
0.001 |
|
Yes, occasionally |
90 |
58% |
65 |
42% |
155 |
0.001 |
|
No, never |
56 |
25.2% |
155 |
74.% |
222 |
0.001 |
|
Total |
246 |
|
232 |
|
500 |
|
The
association between smoking status and nafld prevalence indicates a clear
pattern where smoking is associated with higher nafld prevalence (table 8). Among participants who smoked
daily, 89.2% (100 out of 112) were diagnosed with nafld, while only 10.8% were
not affected. Those who smoked occasionally had a nafld prevalence of 58%, with
42% remaining unaffected. In contrast, non-smokers had a much lower nafld
prevalence of 25.2%, with 74.8% not having the condition. The chi-square test
revealed a significant p-value of 0.001 for all smoking statuses, highlighting
a strong and statistically significant association between smoking and the
prevalence of nafld. These results suggest that smoking is a significant risk
factor for nafld, with daily smoking particularly associated with a high
prevalence of the condition (figure 5).
Figure 5: association
between smoking status and nafld prevalence
Table 9: prevalence of
nafld in patients with diabetes, hypertension, and hyperlipidemia
|
Medical condition |
Nafld Cases(n) |
Nafld prevalence% |
Non nafld Cases(n) |
Non nafld prevalence% |
Total participants(n) |
P value |
|
Diabetes |
40 |
72.7% |
15 |
27.3% |
55 |
0.001 |
|
|
|
|
|
|
|
|
|
Hypertension |
46 |
82.2% |
10 |
17.8% |
56 |
0.001 |
|
|
|
|
|
|
|
|
|
Hyperlipidemia |
99 |
88.3% |
13 |
11.7% |
112 |
0.001 |
|
|
|
|
|
|
|
|
|
Hepatitis |
41 |
74.5% |
14 |
25.5% |
55 |
0.001 |
|
|
|
|
|
|
|
|
|
No other diseases |
56 |
33.7% |
166 |
66.3% |
22 |
0.001 |
The
prevalence of nafld among patients with various medical conditions shows a
significant association with each condition. Among patients with diabetes,
72.7% (40 out of 55) were diagnosed with nafld, while 27.3% were not affected.
Similarly, 82.2% of those with hypertension (46 out of 56) had nafld, compared
to 17.8% without the condition. For patients with hyperlipidemia, the
prevalence of nafld was notably high at 88.3%, with only 11.7% remaining
unaffected. In individuals with hepatitis, 74.5% (41 out of 55) had nafld,
whereas 25.5% did not. In contrast, among participants with no other diseases,
the prevalence of nafld was significantly lower at 33.7% (56 out of 166), with
66.3% being free of the condition. The chi-square test yielded a significant p-value
of 0.001 for all conditions, indicating strong and statistically significant
associations between these medical conditions and the prevalence of nafld.
These findings suggest that diabetes, hypertension, hyperlipidemia, and
hepatitis are substantial risk factors for nafld (table 9).
Discusion
A study was
done showing that emerging evidence underscores the critical role of diet and
specific nutrients in influencing the pathophysiology of nafld. High-calorie
diets, rich in saturated fatty acids (sfa), cholesterol, and sugary beverages,
are known to exacerbate hepatic lipid accumulation and advance the progression
to non-alcoholic steatohepatitis (nash). Conversely, interventions that reduce
caloric intake, enhance consumption of soy protein and whey, and incorporate
supplements such as monounsaturated fatty acids (mufa), omega-3 fatty acids,
and probiotics have demonstrated preventive and therapeutic benefits.
Sustainable weight loss through lifestyle modifications, including caloric
restriction (whether low in carbohydrates or fats), is identified as the most
effective strategy for managing nafld. Moreover, a balanced dietary pattern,
along with specific nutrients, offers additional advantages beyond mere weight
reduction17. In comparison, our study
highlights similar trends, showing that dietary habits like high consumption of
fried foods and sugary beverages are strongly associated with nafld prevalence.
Our findings align with the broader literature, suggesting that dietary choices
and lifestyle interventions play a pivotal role in nafld management and
prevention.
Another
study was done showing that lifestyle changes, including adopting a healthy
diet and engaging in regular physical activity, are crucial for managing nafld.
Aiming for a 7-10% weight loss and maintaining it is a key goal for nafld
patients. Reducing caloric intake, improving the balance of macronutrients, and
increasing physical activity can independently contribute to halting disease
progression. Adherence to dietary recommendations is vital for sustainable
weight loss, necessitating high-quality, practical dietary interventions for
nafld. High consumption of carbohydrates, simple sugars, saturated fats, trans
fats, red meat, and processed foods, coupled with low fiber intake, is linked to
the development of nafld18. In our
study, the findings resonate with these principles. For instance, daily
consumption of high-fat dairy products and sugary beverages was associated with
a high prevalence of nafld, with prevalence rates reaching 76.2% and 83.8%,
respectively. Conversely, a lower nafld prevalence was observed among
participants with higher fruit and vegetable intake and increased physical
activity. These results underscore the importance of dietary adherence and
physical activity in managing nafld, aligning with broader recommendations for
lifestyle modifications.
In the
study, nafld patients were more likely to be smokers, have a lower physical
activity level, and be married, with significantly higher bmi and socioeconomic
status (ses) compared to healthy participants (p < 0.05). Their diets were
characterized by higher intakes of energy, red and processed meat,
sugar-sweetened beverages, and trans fats, while they had lower vegetable
intake and scored lower on the alternative healthy eating index (ahei) and
healthy lifestyle score (hls) (p < 0.05)19.
In comparison, my study found that the prevalence of nafld was highest among
individuals aged 18-24 (89.2%) and 45-54 (93.6%), with significant associations
observed between nafld and frequent consumption of fried foods (daily: 89.6%),
high-fat dairy products (daily: 76.2%), and sugary beverages (daily: 83.8%).
Smoking, particularly daily smoking, was strongly associated with nafld
(89.2%), as were lower levels of physical activity (none: 89.6%) and the
presence of comorbid conditions such as hyperlipidemia (88.3%) and hypertension
(82.2%). These findings are consistent with the referenced study, emphasizing
the critical role of diet and lifestyle factors, including physical inactivity,
poor diet quality, and smoking, in the prevalence of nafld across different
populations. This paragraph integrates
the findings from the other study with your own, highlighting the similarities
in dietary and lifestyle factors associated with nafld, while also drawing
attention to the specific numerical values from your study that reinforce these
associations.
In a
comparative analysis of nafld risk factors, our results align with previous
literature that identifies lifestyle and dietary patterns as significant
contributors to nafld prevalence. Our findings showed a higher nafld prevalence
in those with frequent consumption of fried foods, high-fat dairy products, and
sugary beverages, along with lower physical activity levels. This mirrors prior
studies, which also found that less vegetable and nut intake, higher sweet
consumption, and reduced physical activity were linked to an increased
probability of nafld20. Furthermore,
our data highlighted that lower physical activity levels were strongly
associated with nafld presence, consistent with an earlier report where a
higher physical activity level (measured in metabolic equivalents) correlated
with a lower likelihood of nafld. Additionally, the inverse relationship
between optimal sleep duration and nafld in our study echoes findings that
suggest adequate sleep may offer a protective effect, although the association
was marginal in previous research. Overall, our results reinforce the
established understanding that diet, physical activity, and lifestyle choices
are crucial in the development and management of nafld.
Limitations
One
limitation of this study is the reliance on self-reported data, which may
introduce recall bias or inaccuracies in participants' responses regarding
their dietary habits and lifestyle behaviors. Additionally, the cross-sectional
design of the study limits the ability to establish causality between the
identified factors and nafld. The sample size, while adequate for preliminary
findings, may not fully represent the broader population, thereby limiting the
generalizability of the results. Future research should consider longitudinal
designs and larger, more diverse populations to confirm these associations and
better understand the long-term impact of diet and lifestyle on nafld.
Conclusion
this study provides valuable
insights into the impact of diet and lifestyle factors on the prevalence of
non-alcoholic fatty liver disease (nafld) in a specific population. Our
findings underscore the significant role that unhealthy dietary habits, such as
frequent consumption of fried foods, sugary beverages, and high-fat dairy
products, play in increasing the risk of nafld. Additionally, lifestyle factors
like physical inactivity and smoking further exacerbate this risk, particularly
among individuals with pre-existing conditions such as diabetes, hypertension, hyperlipidemia,
and hepatitis.
The strong
associations observed between these modifiable factors and the prevalence of
nafld emphasize the urgent need for public health initiatives aimed at
promoting healthier eating patterns and more active lifestyles. Educating the
population about the risks associated with poor dietary choices and sedentary
behavior, along with providing accessible resources for making healthier
lifestyle changes, could significantly reduce the burden of nafld.
Moreover,
the findings suggest that targeted interventions in populations with a high
prevalence of comorbid conditions could be particularly effective in mitigating
the risk of nafld. These results not only add to the growing body of evidence
linking diet and lifestyle to liver health but also highlight the importance of
early detection and prevention strategies.
In
conclusion, addressing the modifiable risk factors identified in this study
could play a crucial role in reducing the prevalence of nafld, thereby
improving overall public health outcomes. Future research should continue to
explore these associations in more diverse populations and consider
longitudinal studies to better understand the causal relationships between
diet, lifestyle, and nafld.
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