Introduction
The seasonal variation of peptic ulcers (including duodenal and gastric ulcers) has been noted in textbooks as early as 1932 [
1]. In 1992, Sonnenberg et al. described a typical seasonal pattern in the United States from 1986 to 1989, in which ‘hospital admissions for peptic ulcers peaked during the first 3 months of the year, followed by a marked decline in the summer, and then experienced a second smaller peak around October’ [
2]. In addition, the seasonal periodicity was manifested by changes in ulcer frequency by 10-20% [
2]. Over the past decades, numerous reports from China [
3], South Korea [
4], Turkey [
5], Italy [
6], Ethiopia [
7], and Northern Ireland [
8], etc. have confirmed the presence of this rhythmic phenomenon. However, the months with the highest and lowest incidences of peptic ulcers were found to be very different between studies[
1].
Unlike the seasonal variation reported by Sonnenberg et al in 1992, Palmas et al reported another pattern in 1984, where the seasonality of active duodenal ulcers in Turin, Italy from 1970 to 1981 is characterized by ‘a small peak in July, a sharp decline in August, and an October peak extending through November’[
9]. Interestingly, while many studies reported that peptic ulcers were more frequent in the spring and/or autumn and less frequent in summer[
1], other data presented an opposite seasonal trend with the highest incidences/peaks of peptic ulcers in the winter[
4,
10,
11] and/or summer[
5,
8], and the lowest in the Autumn[
4,
8,
11]. Moreover, the number of peaks in the fluctuation curves varied from one peak[
4,
10] to two peaks[
2,
12], or even 3 peaks[
6,
8,
13]. On the other hand, although a large number of studies discovered a strong seasonal variation of peptic ulcers[
2,
4,
7,
11,
12], many others reported a weak seasonal variation, where the seasonal differences were not statistically significant[
5,
14,
15]. All these suggest that the seasonal variation of peptic ulcers is a common phenomenon with diverse patterns and controversies[
1].
Approximately 13 etiological theories have been proposed to explain the pathogenesis of peptic ulcers in history, but the seasonal variation of the disease has remained a mystery for more than 90 years. In 1950, Alexander believed that peptic ulcers are caused by psychosomatic factors, such as bad habits, poor lifestyle, and unhealthy environment[
16], whereas Selye proposed that psychological stress induced by personality traits and/or life events is the cause of peptic ulcers[
17]. The two etiological theories were termed
Psychosomatic Theory[
18] and
Stress Theory[
17], respectively. Although both theories were supported by numerous clinical, epidemiological, and laboratory observations[
17,
19,
20,
21,
22,
23], and were demonstrated reproducible[
24,
25,
26,
27,
28,
29,
30,
31], neither of them has ever elucidated the seasonality of peptic ulcers over the past 70 years, along with many other characteristics and observations/phenomena of the diseases.
The isolation of
Helicobacter pylori (
H. pylori) in 1982 was believed to be a revolutionary discovery in peptic ulcer research[
32]. In 1987, Marshall proposed that peptic ulcers are an infectious disease caused by
H. pylori infection[
33], and this etiological theory was termed
Theory of H. pylori[
34]. Unfortunately,
Theory of H. pylori is not superior to any other etiological theory in history but caused more controversies and mysteries in the field. For example, it could not confront the challenges of the 15 characteristics and 75 (of a total 81) observations/phenomena of peptic ulcers, including 30 of 36 observations associated with the bacterium itself[
34], but caused another epidemiological mystery, the African enigma[
35]. The seasonal changes of
H. pylori infection were demonstrated not parallel with the seasonality of peptic ulcers[
36,
37], suggesting that
H. pylori infection may not play a causal role in the disease. Thus, even the most recent
Theory of H. pylori cannot elucidate the seasonal variation of peptic ulcers.
Existing data suggests that the seasonal variation of peptic ulcers may be associated not with
H. pylori infection[
38], but with a vast variety of environmental factors, such as climate[
15,
39,
40], work/occupation[
41,
42], air pollution[
43], regional and ethnic differences[
38], industrialization[
38], vacation/holidays[
44], immigration[
45], religion[
7], smoking and alcohol abuse[
8], lifestyle and recreational habits[
10]. Numerous studies have found that these environmental factors may induce psychological stress, resulting in peptic ulcers[
43,
46,
47,
48]. Notably, the key environmental factors, which were believed to cause the seasonal variations of peptic ulcers, have been found regionally different[
5,
8,
9], but the underlying mechanism has never been elucidated.
To address the challenges, a recently published Complex Causal Relationship (CCR) with its accompanying methodology[
49] was employed to analyze the existing data.
Psychosomatic Theory and
Stress Theory were integrated into a new etiological theory,
Theory of Nodes, in which peptic ulcers are a psychosomatic disease triggered by psychological stress[
50], whereas
H. pylori infection is not a cause of peptic ulcers but plays a secondary role in only the late phase of ulcerations[
51]. This new etiology explained all 15 characteristics and 81 observations/phenomena of peptic ulcers in a series of 6 articles, including all 36 observations associated with
H. pylori[
50,
51,
52,
53,
54]. All the controversies and mysteries associated with peptic ulcers, including the birth-cohort phenomenon[
52] and the African enigma[
53], were also resolved. This article is the fifth one of the series, focusing on the 73rd observation, the seasonal variation of peptic ulcers. Notably, since the periodic fluctuation of monthly incidences is the key feature of the seasonal patterns, this study will deliberate on elucidating the mechanism of the fluctuation curves. Moreover, the trends for duodenal and gastric ulcers are similar and thus, the mechanisms of their seasonal variation are elucidated together as peptic ulcers.
Methods
If Theory of Nodes proposed the correct cause of peptic ulcers, combined with the local environmental conditions, it should be able to reproduce the fluctuation curves in the seasonal variation of peptic ulcers. Interestingly, these fluctuation curves look very similar to the sides of an irregular shape, of which Isaac Newton calculated the area by calculus in the 1660s. Taking clues from Newton, this study iterates the two inverse operations in calculus, differentiation and integration, to reproduce the fluctuation curves in 3 representative seasonal patterns of peptic ulcers.
Based on the etiology proposed in
Theory of Nodes[
51], multiple environmental factors may induce psychological stress, resulting in a total monthly incidence of peptic ulcers. Thus, instead of studying the fluctuation curve directly, herein the data analyses first differentiate the curve into multiple total monthly incidences, each of which is then further differentiated into the monthly incidences caused by individual environmental factors. Climate, work, and vacation are selected as the model factors and the fluctuation curve caused by each factor is generated. Herein, a unified standard/assumption is adopted for all the data analyses: uncomfortable climate or heavy workload induces psychological stress and thus increases the monthly incidences of peptic ulcers, whereas vacation relieves psychological stress, thereby decreasing the monthly incidences of the disease.
Subsequently, the monthly incidences caused by all the individual environmental factors are integrated/supposed twice to reproduce the fluctuation curves in the seasonal variation. First, the monthly incidences (MI) caused by all the individual environmental factors are integrated/superposed into the total monthly incidences by the formula MITotal = MIwork + MIClimate + MIVacation. This way of data integration is the vertical sum of the monthly incidences by all the factors and therefore, is termed ‘Vertical Superposition’. Then all the total monthly incidences (MITotal) are placed together in chronological order to produce the fluctuation curve of the total monthly incidences. This way of data packing horizontally creates a chronological view of the total monthly incidences and thus, is termed ‘Horizontal Superposition’. A successful reproduction of the fluctuation curves elucidates the underlying mechanism of the seasonal variation of peptic ulcers.
Figure 1.
Climate, work, and vacation cause their own fluctuation curves independently. The data in this figure is representative of a hypothetical scenario over a year, where the total monthly incidence is caused by climate, work, and vacation. A: Each one, climate, work, and vacation, causes its own monthly incidence independently. B: The monthly incidences by each of the climate, work, or vacation were superposed horizontally to generate its own fluctuation curves, respectively. a) Heat in summer (July and August) and cold in winter (December and January) result in relatively higher monthly incidences than that in spring or autumn. b) Heavier workloads in spring (April and May) and autumn (October and November) make the monthly incidences in the two seasons higher than those in winter and summer. c) Opposite to climate and work, vacation reduces the monthly incidences, especially during summer vacation and Christmas time.
Figure 1.
Climate, work, and vacation cause their own fluctuation curves independently. The data in this figure is representative of a hypothetical scenario over a year, where the total monthly incidence is caused by climate, work, and vacation. A: Each one, climate, work, and vacation, causes its own monthly incidence independently. B: The monthly incidences by each of the climate, work, or vacation were superposed horizontally to generate its own fluctuation curves, respectively. a) Heat in summer (July and August) and cold in winter (December and January) result in relatively higher monthly incidences than that in spring or autumn. b) Heavier workloads in spring (April and May) and autumn (October and November) make the monthly incidences in the two seasons higher than those in winter and summer. c) Opposite to climate and work, vacation reduces the monthly incidences, especially during summer vacation and Christmas time.
Figure 2.
Reproducing the fluctuation curve of a weak seasonal variation. The data in this figure is representative of a hypothetical scenario, where a total monthly incidence is caused by climate and work without vacation. A: A total monthly incidence of peptic ulcers is calculated by the vertical superposition of the monthly incidences caused by climate and work. B: The total monthly incidences are horizontally superposed to obtain the fluctuation curve of the total monthly incidences in a year. a) The fluctuation curve of monthly incidences caused solely by climate. b) The fluctuation curve of monthly incidences caused solely by work. c) The fluctuation curve of total monthly incidences caused by climate and work, which can also be derived from the superposition of curve a and curve b.
Figure 2.
Reproducing the fluctuation curve of a weak seasonal variation. The data in this figure is representative of a hypothetical scenario, where a total monthly incidence is caused by climate and work without vacation. A: A total monthly incidence of peptic ulcers is calculated by the vertical superposition of the monthly incidences caused by climate and work. B: The total monthly incidences are horizontally superposed to obtain the fluctuation curve of the total monthly incidences in a year. a) The fluctuation curve of monthly incidences caused solely by climate. b) The fluctuation curve of monthly incidences caused solely by work. c) The fluctuation curve of total monthly incidences caused by climate and work, which can also be derived from the superposition of curve a and curve b.
Figure 3.
Reproducing the fluctuation curve of the seasonal pattern reported by Sonnenberg. The data is representative of a hypothetical scenario of the population from 1986 to 1989 observed by Sonnenberg. A: both climate and work cause monthly incidences of peptic ulcers, whereas vacation decreases the monthly incidences during summer break and Christmas holidays. Therefore, all the values of monthly incidences caused by vacations are negative. B: The total monthly incidences are horizontally superposed to form the fluctuation curve of total monthly incidences in a year. a) The fluctuation curve of monthly incidences caused solely by climate. b) The fluctuation curve of monthly incidences caused solely by work. c) The fluctuation curve of monthly incidences caused solely by vacation. d) The fluctuation curve of total monthly incidences caused by climate, work, and vacation derived from the superposition of curves a, b, and c. Note: curves a and b in this figure are the same as curves a and b in Figure 1B and Figure 2B; curve c is the same as the curve c in Figure 1B.
Figure 3.
Reproducing the fluctuation curve of the seasonal pattern reported by Sonnenberg. The data is representative of a hypothetical scenario of the population from 1986 to 1989 observed by Sonnenberg. A: both climate and work cause monthly incidences of peptic ulcers, whereas vacation decreases the monthly incidences during summer break and Christmas holidays. Therefore, all the values of monthly incidences caused by vacations are negative. B: The total monthly incidences are horizontally superposed to form the fluctuation curve of total monthly incidences in a year. a) The fluctuation curve of monthly incidences caused solely by climate. b) The fluctuation curve of monthly incidences caused solely by work. c) The fluctuation curve of monthly incidences caused solely by vacation. d) The fluctuation curve of total monthly incidences caused by climate, work, and vacation derived from the superposition of curves a, b, and c. Note: curves a and b in this figure are the same as curves a and b in Figure 1B and Figure 2B; curve c is the same as the curve c in Figure 1B.
Figure 4.
Reproducing the fluctuation curve of the seasonal variation in Turin, Italy. The data is representative of a hypothetical scenario in Turin, Italy from 1979-1981. A: The vertical superposition of the monthly incidences due to work, climate, and vacation. The calculation is the same as in Figure 3. B: The total monthly incidences are horizontally superposed to illustrate the fluctuation curve of total monthly incidences in a year. a) The fluctuation curve of monthly incidences caused solely by climate. b) The fluctuation curve of monthly incidences caused solely by work, where the monthly incidence in July was higher than most of the other months of the year. c) The fluctuation curve of monthly incidences caused solely by vacations, where summer breaks in July and August significantly reduced the monthly incidences, but Christmas break only slightly reduced the monthly incidence. d) The fluctuation curve of total monthly incidences caused by climate, work, and vacation is derived from the superposition of curves a, b, and c.
Figure 4.
Reproducing the fluctuation curve of the seasonal variation in Turin, Italy. The data is representative of a hypothetical scenario in Turin, Italy from 1979-1981. A: The vertical superposition of the monthly incidences due to work, climate, and vacation. The calculation is the same as in Figure 3. B: The total monthly incidences are horizontally superposed to illustrate the fluctuation curve of total monthly incidences in a year. a) The fluctuation curve of monthly incidences caused solely by climate. b) The fluctuation curve of monthly incidences caused solely by work, where the monthly incidence in July was higher than most of the other months of the year. c) The fluctuation curve of monthly incidences caused solely by vacations, where summer breaks in July and August significantly reduced the monthly incidences, but Christmas break only slightly reduced the monthly incidence. d) The fluctuation curve of total monthly incidences caused by climate, work, and vacation is derived from the superposition of curves a, b, and c.
Table 1.
Similarities & differences between birth-cohort phenomenon and seasonal variation.
Table 1.
Similarities & differences between birth-cohort phenomenon and seasonal variation.
|
Birth-cohort Phenomenon[52] |
Seasonal Variation |
Similar Features |
1. Important epidemiological observations/phenomena. |
2. Compelling evidence for a causal role of environmental factors in peptic ulcers, which cause the disease by inducing psychological stress. |
3. Multiple environmental factors cause the phenomenon via Superposition Mechanism; fluctuation curves can be differentiated to reveal a parallel relationship between psychological impacts of individual environmental factors and the mortality/morbidity rates of peptic ulcers. |
4. Without considering H. pylori infection. |
5. Implicate that peptic ulcers are not an infectious disease caused by H. pylori infection, but a psychosomatic disease triggered by psychological stress. |
6. Epitomize the exogenous psychological stress induced by environmental factors. |
Different Features |
1. An epidemiological observation on an annual basis, in which the mortality rates increase and decrease sharply. |
1. An epidemiological observation on a monthly/seasonal basis, in which the incidences increase and decrease slightly. |
2. Fluctuation curves were primarily due to extraordinary environmental factors; the annual mortality rates fluctuate within a wide range. |
2. Fluctuation curves were caused by ordinary environmental factors; the monthly incidences fluctuate within a narrow range. |
3. Less diversity: increased mortality rates are maintained by sudden and short-term extraordinary environmental factors. Not a rhythmic phenomenon. |
3. More diversity: increased incidences are maintained by periodic and predictable ordinary environmental factors, causing a rhythmic phenomenon. |
4. Crucial events (extraordinary environmental factors) induce gastric ulcers in ‘ready-to-ulcerate’ individuals. Secondary stressors induce hyperplasia and hypertrophy of gastrin and parietal cells in the stomach, resulting in duodenal ulcers after 3-5 years. |
4. Common events (ordinary environmental factors) induce both gastric and duodenal ulcers in ‘ready-to-ulcerate’ individuals. |
5. Needs more data covering many years and is harder to study, resulting in relatively fewer reports in the existing literature. |
5. Data covering ≥ 3 years is sufficient and easier to study, resulting in many reports in the existing literature. |