Abstract
Background
This study aimed to quantify the effects of aging and urbanization on major gastrointestinal disease (liver cirrhosis, hepatitis B, diarrhea, liver cancer, stomach cancer, pancreas cancer, hepatitis C, esophagus cancer, colon/rectum cancer, gastrointestinal ulcers, diabetes, and appendicitis).
Methods
We accessed 2004 and 2011 mortality statistics from the most developed cities and least developed rural areas in China using a retrospective design. The relative risk of death associated with urbanization and age was quantified using Generalized linear model (the exp.(B) from model is interpreted as the risk ratio; the greater the B, the greater the impact of urbanized factors or aging factor or effect of aging factor with urbanization). The interaction between region (cities and rural areas) and age was considered as indicator to assess role of age in mortality with urbanization.
Results
Greater risk of disease with urbanization were, in ascending order, for diabetes, colon/rectum cancer, hepatitis C and pancreas cancer. Stronger the effect of aging with urbanization were, in ascending order, for stomach cancer, ulcer, liver cancer, colon/rectum cancer, pancreas cancer, diabetes, hepatitis C, appendicitis and diarrhea. When the effects of aging and urbanization on diseases were taken together as the dividing value, we were able to further divide the 12 gastrointestinal diseases into three groups to guide the development of medical strategies.
Conclusions
It was suggested that mortality rate for most gastrointestinal diseases was sensitive to urbanization and control of external risk factors could lead to the conversion of most gastrointestinal disease.
Keywords: Gastrointestinal disease, Cancer, Aging, Urbanization, Categorization, Epidemiology
Background
Gastrointestinal disease refers to disease involving the gastrointestinal tract, including disease of the esophagus, stomach, small intestine, large intestine and rectum, and the accessory organs of digestion, liver, gallbladder and pancreas. Gastrointestinal disease may have many pathomechanisms can be infectious or chronic, and involve acute or chronic inflammation, or cancer.
Global urbanization, which has continued to increase since the arrival of the industrial revolution, results in alteration to and loss of natural habitats. A sedentary lifestyle, higher-kilojoule food intake, a decrease in exposure to sunlight, and increasingly stressful conditions have all been associated with increasing urbanization, which, in turn, may be impacting on prevalence of gastrointestinal disease. Urbanization leads to many challenges, not only for global health, but also specifically to the field of gastrointestinal disease [1–3]. To identify and implement medical strategies, it is necessary to explore how rapid urbanization may be affecting the burden of gastrointestinal disease in growing economies. To date, there have been no comprehensive studies into the quantitative effects of urbanization on gastrointestinal disease.
China has a relatively simple ethnic composition and a large land area, and is presently undergoing rapid urbanization [4–6]. Economic growth has had a profound impact on the health of its citizens and levels of medical care; however, because of an unbalanced economy, there is considerable disparity between regions. China, therefore, is an ideal model for assessing patterns of disease occurrence, development and changes with this modernization process [7–9].
Life expectancy will increase with urbanization [10–12]. Greater human longevity and an increasingly elderly population might also be important reasons for changes in the spectrum of gastrointestinal disease. Therefore, this study focused on the impact of urbanization and the aging process on gastrointestinal disease. We found that these two properties varied significantly in different gastrointestinal diseases (diarrhea, viral hepatitis B, viral hepatitis C, esophagus cancer, stomach cancer, colon/rectum cancer, liver cancer, pancreas cancer, diabetes, gastrointestinal ulcers, liver cirrhosis and appendicitis). To inform medical strategies, we also categorized the 12 major gastrointestinal diseases listed above, based on the quantitative effects of age and urbanization.
Methods
Original data
We obtained raw data from the 2004 and 2011 data sets of the National Disease Mortality Surveillance System [13, 14]. These data were obtained from people living in the most undeveloped rural areas (rural) in 2004 and the most developed cities (urban) in 2011 for keeping considerable disparity between regions. The definition of urbanization and rural areas was according to administrative regions of China; name with city or district in city (a large majority of the population is not engaged in agriculture and/or fishing) was defined as urban and others were rural areas (Table 1) [13, 14]. The causes of death must be recorded in patient’s place of household registration. The mortality due to nutritional deficiencies was 1.32/0.1 million individuals (standard rate) in the rural population and 0.80/0.1 million individuals (standard rate) in the urban population and; the life expectancy at birth was 73.90 years in the rural areas and 79.53 years in the urban areas, respectively [13, 14]. The underlying causes of death (the disease which initiated the train of morbid events leading directly to death) were classified according to International Classification of Diseases (ICD)-10 codes [15] to determine the mortality statistics. Rate of objective diagnosis (as evidenced by laboratory, pathologic, imaging and/or surgical intervention findings) was 90.76% in rural areas and that was 92.00% in urban areas [13, 14]. The raw data are presented in Table 2 and Table 3.
Table 1.
Cities | Cities | Rural areas | Rural areas |
---|---|---|---|
Dongcheng in Beijing | Tongxiang | Balimyouqi | Xiangyunxian |
Tongzou in Beijing | Wucheng Jinhua | Kailuxian | Lanpingxian |
Hongqiao in Tianjin | Meijie in Sanming | Suniteyouqi | Milinxian |
Kaiping in Tangshan | Jianou | Binyangxiang | Naidongxian |
Haigang in Qinhuangdao | Jiaocheng in Ningde | Hepuxian | Jiangzixian |
Wuan | Shibei in Qingdao | Lingyunxian | Meixian |
Qiaodong in Zhangjiakou | Xuecheng in Zaozhang | Luochengxian | Luochuanxia |
Xinceng in Shenyang | Zifu in Yantai | Dazuxian | Hanyinxiangn |
Shahekou in Dalian | Penglai | Zizhongxian | Jingtaixian |
Qianshan in Anshan | Gaomi | Xichongxian | Lintanxian |
Fengcheng | Laicheng in Laiwu | Shuangyuanxian | Pinganxian |
Luwan in Shanghai | Lichang inQingdao | Kangdingxian | Menyuanxian |
Songjiang in Shanghai | Xiuyue in Guangzhou | Yuexixian | Xinhexian |
Pukou in Nanjing | Nanxiong | Meitanxian | Shachexian |
Yunlong in Xuzou | Sihui | Yupingxian | Hetianxian |
Wuzhong in Suzhou | Shanwei | Dushanxian | Xinyuanxian |
Zhangjiagang | Yunfu | Tonghaixian | _ |
Xiacheng in Hangzou | Meilian in haikou | Guangnanxian | _ |
Fenghua | _ | Menglaxian | _ |
Table 2.
Age | Gastrointestinal diseases | All cause | Survival | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A | B | C | D | E | F | G | H | I | J | K | L | |||
0- | 180 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 0 | 3038 | 173,744 |
1- | 88 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 1 | 1 | 1186 | 792,643 |
5- | 11 | 4 | 0 | 0 | 0 | 1 | 3 | 0 | 2 | 0 | 3 | 1 | 597 | 1,145,068 |
10- | 3 | 5 | 0 | 0 | 0 | 1 | 6 | 0 | 2 | 1 | 2 | 0 | 557 | 1,437,804 |
15- | 6 | 2 | 0 | 0 | 1 | 4 | 8 | 1 | 1 | 1 | 3 | 2 | 948 | 1,247,497 |
20- | 3 | 5 | 0 | 4 | 5 | 8 | 15 | 0 | 1 | 5 | 8 | 3 | 1213 | 1,161,369 |
25- | 2 | 13 | 0 | 2 | 17 | 17 | 46 | 2 | 8 | 15 | 19 | 3 | 1438 | 1,355,108 |
30- | 10 | 35 | 1 | 8 | 34 | 18 | 111 | 3 | 14 | 15 | 38 | 4 | 2038 | 1,339,658 |
35- | 6 | 39 | 0 | 19 | 66 | 22 | 180 | 9 | 26 | 20 | 81 | 5 | 2590 | 1,153,155 |
40- | 3 | 51 | 0 | 41 | 94 | 19 | 239 | 4 | 15 | 28 | 84 | 3 | 2580 | 846,773 |
45- | 4 | 75 | 0 | 78 | 170 | 49 | 314 | 11 | 39 | 35 | 98 | 2 | 3352 | 855,146 |
50- | 3 | 85 | 0 | 147 | 265 | 65 | 383 | 17 | 66 | 45 | 136 | 1 | 4671 | 688,043 |
55- | 7 | 73 | 1 | 199 | 394 | 75 | 399 | 17 | 65 | 55 | 154 | 1 | 5681 | 563,297 |
60- | 16 | 91 | 0 | 285 | 459 | 102 | 411 | 16 | 116 | 88 | 175 | 7 | 7464 | 484,754 |
65- | 21 | 95 | 2 | 259 | 470 | 100 | 410 | 23 | 111 | 119 | 156 | 7 | 9432 | 382,483 |
70- | 32 | 79 | 0 | 280 | 512 | 92 | 338 | 17 | 121 | 141 | 144 | 15 | 11,439 | 281,429 |
75- | 39 | 39 | 0 | 180 | 352 | 82 | 213 | 17 | 110 | 128 | 101 | 6 | 10,555 | 179,351 |
80- | 39 | 29 | 0 | 109 | 222 | 57 | 137 | 5 | 79 | 103 | 63 | 4 | 8864 | 109,024 |
> 85 | 33 | 15 | 0 | 65 | 127 | 54 | 70 | 0 | 62 | 57 | 33 | 7 | 7700 | 66,137 |
Diseases classified by ICD-10 code: A: diarrhea (A00, A01, A03, A04, A06-A09); B: viral hepatitis B (B16–B19 excluding B17.1, B18.2); C: viral hepatitis C (B17.1, B18.2); D: esophageal cancer (C15); E: stomach cancer (C16); F: colon/rectum cancer (C18–C21); G: liver cancer (C22); H: pancreatic cancer (C25); I: diabetes (E10–E14); J: ulcer (K25–K27); K: liver cirrhosis (K70, K74); L: appendicitis (K35–K37)
Table 3.
Age | Gastrointestinal diseases | All cause | Survival | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
A | B | C | D | E | F | G | H | I | J | K | L | |||
0- | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 453 | 104,883 |
1- | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 123 | 404,828 |
5- | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 88 | 493,202 |
10- | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 85 | 516,918 |
15- | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 184 | 925,854 |
20- | 0 | 0 | 0 | 0 | 4 | 0 | 2 | 1 | 2 | 1 | 1 | 0 | 363 | 1,024,382 |
25- | 0 | 2 | 0 | 0 | 4 | 4 | 7 | 1 | 3 | 0 | 2 | 0 | 358 | 1,245,437 |
30- | 0 | 3 | 0 | 0 | 12 | 9 | 26 | 3 | 13 | 0 | 5 | 0 | 463 | 1,049,958 |
35- | 0 | 5 | 0 | 2 | 15 | 8 | 58 | 7 | 15 | 2 | 15 | 0 | 793 | 1,298,489 |
40- | 0 | 14 | 0 | 10 | 44 | 31 | 119 | 12 | 15 | 3 | 35 | 0 | 1374 | 1,350,515 |
45- | 0 | 20 | 1 | 46 | 107 | 63 | 212 | 35 | 43 | 5 | 72 | 0 | 2500 | 1,357,587 |
50- | 0 | 31 | 1 | 67 | 154 | 92 | 288 | 54 | 65 | 7 | 81 | 0 | 3251 | 1,422,892 |
55- | 0 | 32 | 2 | 125 | 242 | 157 | 359 | 97 | 101 | 14 | 82 | 0 | 4656 | 1,235,044 |
60- | 1 | 27 | 2 | 114 | 252 | 170 | 353 | 92 | 147 | 12 | 64 | 1 | 4811 | 747,831 |
65- | 0 | 12 | 2 | 138 | 270 | 145 | 270 | 107 | 167 | 11 | 57 | 0 | 5309 | 424,295 |
70- | 1 | 21 | 5 | 137 | 339 | 239 | 285 | 133 | 284 | 25 | 50 | 1 | 8120 | 378,526 |
75- | 1 | 31 | 3 | 162 | 469 | 335 | 354 | 151 | 433 | 24 | 63 | 2 | 11,978 | 279,355 |
80- | 0 | 11 | 1 | 115 | 314 | 263 | 273 | 102 | 353 | 40 | 50 | 3 | 12,527 | 151,104 |
> 85 | 3 | 13 | 0 | 91 | 198 | 191 | 167 | 76 | 283 | 43 | 32 | 2 | 14,624 | 50,773 |
Diseases classified by ICD-10 code: A: diarrhea (A00, A01, A03, A04, A06-A09); B: viral hepatitis B (B16-B19 excluding B17.1, B18.2); C: viral hepatitis C (B17.1, B18.2); D: esophageal cancer (C15); E: stomach cancer (C16); F: colon/rectum cancer (C18–C21); G: liver cancer (C22); H: pancreatic cancer (C25); I: diabetes (E10-E14); J: ulcer (K25–K27); K: liver cirrhosis (K70, K74); L: appendicitis (K35–K37)
Assessment of the role of urbanization and age in death caused by gastrointestinal disease
From the 2004 and 2011 data, we collected the age-stratified number of deaths from different gastrointestinal diseases (death group) and the age-stratified number of survivors (survival group) in the monitored urban and rural populations (Table 2 & Table 3). A generalized linear model (Poisson loglinear method) was used to assess the mortality risk from aging and urbanization with covariates of categorical age (age < 60 and age ≧ 60 for death group and survival group) and region (urban and rural); the cutoff of age was 65 years for appendicitis, because of the zeros for people aged under 60 in urbanised areas. The B coefficients for both age and region and interaction between region and age were obtained from the model: here the exp.(B) is interpreted as the risk ratio (RR). B = 0 indicated that given cause had no effect on the death; the greater (positive) the B, the greater the impact of urbanized factors or aging factor or effect of aging factor with urbanization on the gastrointestinal diseases.
Data were considered statistically significant when the probability of a type I error was 0.05 or less. Calculations were performed using the Windows version of SPSS 17.0 (SPSS Inc., Chicago, IL, US).
Characteristics of the effects of aging and urbanized factors on gastrointestinal disease
The B value of interaction between region (cities and rural areas) and age was considered as indicator to assess role of age in mortality from gastrointestinal disease with urbanization, where a larger B value of interaction between region and age indicated a stronger effect of aging or a weaker effect of other risk factors in death with urbanization.
The quantitative values (B) of the impact of age on disease with urbanization were plotted against those for urbanized factors to form a scatter diagram. We used the locations of the various gastrointestinal diseases in this coordinate system to sort them according to the effects of aging and urbanization.
The group in the upper right quadrant represents old disease associated with the old population and developed urbanized disease; the group in the upper left quadrant shows disease associated with the other factor and developed urbanized disease; the group in the lower left quadrant, was termed other factor and undeveloped rural disease; the group in the lower right quadrant represents disease associated with the old population and undeveloped rural disease.
Results
Generalized linear model was used to assess mortality risk from major gastrointestinal diseases with urbanization and aging as shown in Table 4. The contribution of urbanization to different gastrointestinal diseases varied; the B for the 12 gastrointestinal diseases ranged from − 5.760 to 1.216. A higher B indicated greater risk of disease with urbanization (negative value implied a protective effect). The Bs were, in ascending order, for gastrointestinal diseases of the diarrhea, appendicitis, ulcer, hepatitis B, liver cirrhosis, esophagus cancer, stomach cancer, liver cancer, diabetes, colon/rectum cancer, hepatitis C and pancreas cancer.
Table 4.
Diseases | Effect of region | Effect of age | Age*Region | ||||||
---|---|---|---|---|---|---|---|---|---|
B | Confidence interval(95%) | p | B | Confidence interval(95%) | p | B | Confidence interval(95%) | p | |
Diarrhea | −5.760 | −7.723~ − 3.797 | < 0.001 | 1.511 | 1.329~ 1.693 | < 0.001 | 2.065 | − 0.059~ 4.190 | 0.057 |
Hepatitis B | −1.274 | −1.487~ − 1.060 | < 0.001 | 1.983 | 1.839~ 2.129 | < 0.001 | − 0.127 | − 0.427~ 0.174 | 0.409 |
Hepatitis C | 0.720 | −0.977~ 2.418 | 0.405 | 2.105 | 0.145~ 4.065 | 0.035 | 0.858 | −1.399~ 3.116 | 0.456 |
Esophagus Ca. | −0.662 | − 0.841~ − 0.510 | < 0.001 | 2.966 | 2.861~ 3.071 | < 0.001 | − 0.073 | − 0.251~ 0.104 | 0.417 |
Stomach Ca. | −0.559 | −0.660~ − 0.458 | < 0.001 | 2.822 | 2.748~ 2.895 | < 0.001 | 0.115 | −0.004~ 0.234 | 0.058 |
Colon/rectum Ca. | 0.296 | 0.140~ 0.452 | < 0.001 | 2.662 | 2.515~ 2.809 | < 0.001 | 0.425 | 0.238~ 0.613 | < 0.001 |
Liver Ca. | −0.438 | − 0.514~ − 0.362 | < 0.001 | 2.027 | 1.958~ 2.095 | < 0.001 | 0.220 | 0.117~ 0.323 | < 0.001 |
Pancreas Ca. | 1.216 | 0.936~ 1.495 | < 0.001 | 2.303 | 1.972~ 2.633 | < 0.001 | 0.629 | 0.263~ 0.994 | 0.001 |
Diabetes | 0.095 | −0.080~ 0.271 | 0.287 | 3.015 | 2.866~ 3.165 | < 0.001 | 0.635 | 0.436~ 0.834 | < 0.001 |
Ulcer | −1.870 | −2.236~ − 1.504 | < 0.001 | 3.166 | 3.013~ 3.320 | < 0.001 | 0.165 | −0.241~ 0.571 | 0.425 |
Liver cirrhosis | −0.733 | −0.872~ − 0.595 | < 0.001 | 2.171 | 2.062~ 2.280 | < 0.001 | − 0.314 | −0.507~ − 0.122 | 0.001 |
Appendicitis | −3.490 | −5.480~ − 1.501 | 0.001 | 2.689 | 2.226~ 3.153 | < 0.001 | 1.680 | −0.450~ 3.810 | 0.122 |
Age*Region represents interaction between age and region; Ca. represents cancer
The quantitative values of the impact of age with urbanization on diseases also varied. The value of B (interaction between region and age) for the 12 gastrointestinal diseases ranged from − 0.314 to 2.065 as shown in Table 4. The larger the B value, the stronger the effect of aging with urbanization (negative value implied a protective effect from aging). The B values were, in ascending order, for liver cirrhosis, hepatitis B, esophagus cancer, stomach cancer, ulcer, liver cancer, colon/rectum cancer, pancreas cancer, diabetes, hepatitis C, appendicitis and diarrhea.
The effects of age and urbanization on gastrointestinal disease are summarized and quantified in Fig. 1. According to their location on the scatter diagram, the 12 gastrointestinal diseases could be divided into three groups. In the upper right quadrant is what we termed old and developed urbanized disease, which had 4 diseases. The second group, closer to the lower left quadrant, was termed other factor and undeveloped rural disease, and had 3 diseases. The third group close to the lower right quadrant, was termed old and undeveloped rural disease and had 5 diseases.
Discussion
In our study, the life expectancy at birth was 79.43 years in urban areas and 73.90 years in rural areas, implying that data from urban areas and rural areas can be used for determining sensitivity to urbanization. Urbanization is associated with elongated life expectancy and thus higher rate of diseases that occur in elderly group; that aging and urbanization were included in one model as covariates could be eliminated the influence of elongated life expectancy for analyzing effects of urbanization on diseases.
Nutritional deficiencies could be referred to as an undeveloped rural disease. In present study, the mortality due to nutritional deficiencies was higher in rural areas than that in urban areas, implying that data sets were reliable. Although the diagnostic technique could be improved with urbanization, the rates of objective diagnosis (as evidenced by laboratory, pathologic, imaging and/or surgical intervention findings) were almost same in two regions, suggesting that bias from the improved diagnostic technique could be limited.
The B value was used to quantify the contribution of changes in urbanization to mortality from gastrointestinal disease revealed that these contributions varied. A higher B indicated greater risk of disease with urbanization (negative value implied a protective effect). We defined gastrointestinal diseases with a value of B (region) greater than zero as the “developed urbanized disease”, and from our analysis, four gastrointestinal diseases (diabetes, colon/rectum cancer, hepatitis C and pancreas cancer) were developed urbanized disease. Urbanization may be a protective factor for other gastrointestinal diseases.
It is well known that the incidence of diabetes mellitus increases greatly with the development of a society [16–18]. Therefore, diabetes mellitus could be referred to as a developed urbanized disease. In the present study, diabetes mellitus was included in a group of developed urbanized disease, implying that statistical method was appropriate in our study.
As aging is a key observed variable for non-communicable diseases [19] and an uncontrollable factor in mortality, it is important to evaluate the effects of aging on gastrointestinal disease with urbanization. The B value of interaction between age and region (cities and rural areas) could be considered as indicator to assess role of age in mortality from gastrointestinal disease with urbanization, where a larger B value implied a stronger effect of aging with urbanization; the negative B value implied a stronger effect of other urbanized factors except aging in death with urbanization. We found that the value of B (interaction between region and age) for the 12 gastrointestinal diseases also varied.
We defined gastrointestinal diseases with a value of B (interaction between region and age) greater than zero as the “old diseases”, and from our analysis, nine gastrointestinal diseases (stomach cancer, ulcer, liver cancer, colon/rectum cancer, pancreas cancer, diabetes, hepatitis C, appendicitis and diarrhea) were old diseases; for these diseases, aging could become a major cause of death with urbanization. This indicates that common protective interventions for health or aging process have an important role.
The scatter diagram represented the effects of aging and urbanization on gastrointestinal disease together as the dividing value. We divided the 12 gastrointestinal diseases into three groups according to their location on the diagram; each group represented gastrointestinal diseases with different attributes.
The group in the lower left quadrant, was termed other factor and undeveloped rural disease and includes esophageal cancer, liver cirrhosis and hepatitis B. Urbanization may be a protective factor for this group of diseases. We also clearly saw a tendency toward other factor (non-aging factors) with the development of society and the increase in the life expectancy, suggesting a independent of aging and a characteristic of programmed onset (occurrence of disease in a certain life stage) [20]. Accordingly, an emphasis on increasing basal health status may contribute to disease preventative strategies in this group.
The group in the lower right quadrant represents disease associated with the old population and undeveloped rural areas and includes stomach cancer, liver cancer, gastrointestinal ulcers, diarrhea and appendicitis. Urbanization may also be a protective factor for this group of diseases. Undeveloped rural risk factors for this disease group appear to be eliminated with urbanization. Therefore, aging will be a major causes of death with urbanization for this group of diseases. Accordingly, an emphasis on public health may contribute to disease preventative strategies in this group.
The group in the upper right quadrant shows disease associated with the relative-old onset and developed urbanized disease and included pancreas cancer, colon/rectum cancer, hepatitis C, and diabetes. That disease occurs relative-old implies the increase of age at disease onset is so many as the increase of life expectancy. The aging and increase of life expectancy may be major causes for mortality, suggesting this group of diseases should be prevented by delaying aging, although it may be difficult.
The group in the upper left quadrant shows disease associated with the other factor and developed urbanized disease; unexpectedly, there is not major gastrointestinal diseases in this group. This group disease implies the increase of age at death is not so many as the increase of life expectancy. The other risk factors (non-aging factors) from urbanization, such as sedentary lifestyle and higher-kilojoule food intake [21–23], may be major causes for mortality, suggesting this group of diseases could be prevented by avoiding these urbanization associated risk factors. Further study is needed to explore whether these risk factors from urbanization have important role in occurrence of some gastrointestinal diseases or not.
Conclusion
Most gastrointestinal diseases were sensitive or protective to change of socioenvironmental factors; death from gastrointestinal disease would increase with the urbanization for some of the types and would decrease with the urbanization for the other types. Since the aging factors leading to disease are relatively uncontrollable, the study and control of external risk factors could lead to the conversion of most gastrointestinal disease. Common protective interventions for public health and quality of life, which include quality of social life and nutritional status, have the potential to eliminate the undeveloped rural diseases. Understanding the categorization of gastrointestinal disease according to urbanization and age will aid in its primary prevention.
Acknowledgments
I thank professor Liu Qigui, a statistician at my university, for providing support on generalized linear model analysis.
Availability of data and materials
The data used to support the findings of this study are available from the corresponding author upon request.
Authors’ contributions
LH conceived the analysis and wrote the final version of the manuscript. The author read and approved the final manuscript.
Ethics approval and consent to participate
The Institutional Ethics Committee of Dalian Medical University approved the study and waived the need for written informed consent from the participants due to the observational nature of the study.
Consent for publication
Not applicable
Competing interests
The author declares that he/she has no competing interests.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Zeng Z, Zhu Z, Yang Y, Ruan W, Peng X, Su Y, Peng L, Chen J, Yin Q, Zhao C, Zhou H, Yuan S, Hao Y, Qian J, Ng SC, Chen M, Hu P. Incidence and clinical characteristics of inflammatory bowel disease in a developed region of Guangdong Province, China: a prospective population-based study. J Gastroenterol Hepatol. 2013;28(7):1148–1153. doi: 10.1111/jgh.12164. [DOI] [PubMed] [Google Scholar]
- 2.Amorim CA, Moreira JP, Rial L, Carneiro AJ, HS Fça, Elia C, Luiz RR, de Souza HS. Ecological study of gastric cancer in Brazil: geographic and time trend analysis. World J Gastroenterol. 2014;20(17):5036–5044. doi: 10.3748/wjg.v20.i17.5036. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Wong SH, Ng SC. What can we learn from inflammatory bowel disease in developing countries? Curr Gastroenterol Rep. 2013;15(3):313. doi: 10.1007/s11894-013-0313-9. [DOI] [PubMed] [Google Scholar]
- 4.Liang Y, Li S. Landless female peasants living in resettlement residential areas in China have poorer quality of life than males: results from a household study in the Yangtze River Delta region. Health Qual Life Outcomes. 2014;12:71. doi: 10.1186/1477-7525-12-71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Chen J. Chronic conditions and receipt of treatment among urbanized rural residents in China. Biomed Res Int. 2013;2013:568959. doi: 10.1155/2013/568959. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Wu N, Tang X, Wu Y, Qin X, He L, Wang J, Li N, Li J, Zhang Z, Dou H, Liu J, Yu L, Xu H, Zhang J, Hu Y, Iso H. Cohort profile: the Fangshan cohort study of cardiovascular epidemiology in Beijing, China. J Epidemiol. 2014;24(1):84–93. doi: 10.2188/jea.JE20120230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Ma L, Mai J, Jing J, Liu Z, Zhu Y, Jin Y, Chen Y. Empirical change in the prevalence of overweight and obesity in adolescents from 2007 to 2011 in Guangzhou, China. Eur J Pediatr. 2014;173(6):787–791. doi: 10.1007/s00431-013-2250-x. [DOI] [PubMed] [Google Scholar]
- 8.Zhang Y, Mo J, Weschler CJ. Reducing health risks from indoor exposures in rapidly developing urban China. Environ Health Perspect. 2013;121(7):751–755. doi: 10.1289/ehp.1205983. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Chan F, Adamo S, Coxson P, Goldman L, Gu D, Zhao D, Chen CS, He J, Mara V, Moran A. Projected impact of urbanization on cardiovascular disease in China. Int J Public Health. 2012;57(5):849–854. doi: 10.1007/s00038-012-0400-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Hui L. Chronic diseases and societal development, based on the death-risk index. Epidemiology. 2015;26(1):e9–e10. doi: 10.1097/EDE.0000000000000207. [DOI] [PubMed] [Google Scholar]
- 11.Gong P, Liang S, Carlton EJ, Jiang Q, Wu J, Wang L, Remais JV. Urbanisation and health in China. Lancet. 2012;379(9818):843–852. doi: 10.1016/S0140-6736(11)61878-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Idrovo AJ. Physical environment and life expectancy at birth in Mexico: an eco-epidemiological study. Cad Saude Publica. 2011;27(6):1175–1184. doi: 10.1590/S0102-311X2011000600014. [DOI] [PubMed] [Google Scholar]
- 13.Chinese Center for Disease Control and Prevention. National Disease Mortality Surveillance System, 2004. Military Medical Science Press, 2009:102–107.
- 14.Chinese Center for Disease Control and Prevention. National Disease Mortality Surveillance System, 2011. People’s Medical Publishing House, 2013:171–405.
- 15.World Health Organization . International statistical classification of diseases and related health problems, tenth revision. Geneva: World Health Organization; 1992. [PubMed] [Google Scholar]
- 16.Xin G, Yang G, Hui L. Study to assess whether waist circumference and changes in serum glucose and lipid profile are independent variables for the CETP gene. Diabetes Res Clin Pract. 2014;106(1):95–100. doi: 10.1016/j.diabres.2014.07.024. [DOI] [PubMed] [Google Scholar]
- 17.Sherwin R, Jastreboff AM. Year in diabetes 2012: the diabetes tsunami. J Clin Endocrinol Metab. 2012;97(12):4293–4301. doi: 10.1210/jc.2012-3487. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Xin G, Shong L, Hui L. Effect of genetic and non-genetic factors, including aging, on waist circumference and BMI, and inter-indicator differences in risk assessment. Exp Gerontol. 2014;60:83–86. doi: 10.1016/j.exger.2014.10.005. [DOI] [PubMed] [Google Scholar]
- 19.Hui L. Assessment of the role of ageing and non-ageing factors in death from non-communicable diseases based on a cumulative frequency model. Sci Rep. 2017;7(1):8159. doi: 10.1038/s41598-017-08539-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Hui L. Aging and chronic disease as independent causative factors for death and a programmed onset for chronic disease. Arch Gerontol Geriatr. 2015;60:178–182. doi: 10.1016/j.archger.2014.11.002. [DOI] [PubMed] [Google Scholar]
- 21.Doherty ML, Owusu-Dabo E, Kantanka OS, Brawer RO, Plumb JD. Type 2 diabetes in a rapidly urbanizing region of Ghana, West Africa: a qualitative study of dietary preferences, knowledge and practices. BMC Public Health. 2014;14:1069. doi: 10.1186/1471-2458-14-1069. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Ng SW, Howard AG, Wang HJ, Su C, Zhang B. The physical activity transition among adults in China: 1991-2011. Obes Rev. 2014;15(Suppl 1):27–36. doi: 10.1111/obr.12127. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Du SF, Wang HJ, Zhang B, Zhai FY, Popkin BM. China in the period of transition from scarcity and extensive undernutrition to emerging nutrition-related non-communicable diseases, 1949-1992. Obes Rev. 2014;15(Suppl 1):8–15. doi: 10.1111/obr.12122. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data used to support the findings of this study are available from the corresponding author upon request.