Skip to main content
Erschienen in: BMC Public Health 1/2020

Open Access 01.12.2020 | Research article

Early-life exposure to the Chinese famine of 1959–61 and risk of Hyperuricemia: results from the China health and retirement longitudinal study

verfasst von: Wenqiang Zhang, Rongsheng Luan

Erschienen in: BMC Public Health | Ausgabe 1/2020

Abstract

Background

Short-term starvation has been related to hyperuricemia. However, little is known about the long-term effect of early-life exposure to famine on hyperuricemia risk in adulthood.

Methods

The analysis included 2383 participants from the China Health and Retirement Longitudinal Study in 2015. Hyperuricemia was diagnosed as serum uric acid ≥7 mg/dL in men and serum uric acid ≥6 mg/dL in women. Famine exposure subgroups were defined as unexposed (born between October 1, 1962, and September 30, 1964), fetal-exposed (born between October 1, 1959, and September 30, 1961), and early-childhood exposed (born between October 1, 1956, and September 1, 1958). The association between early-life famine exposure and hyperuricemia risk was assessed using multivariate logistic regression.

Results

The prevalence of hyperuricemia in the unexposed, fetal-exposed, and early-childhood exposed participants was 10.7, 14.1, 11.1%, respectively. Compared with unexposed and early-childhood exposed participants combined as an age-balanced control, fetal-exposed participants showed an increased risk of hyperuricemia in adulthood (OR = 1.41; 95% CI: 1.06–1.88), after adjusting for gender, marital status, famine severity, residence, smoking, drinking, BMI, hypertension, and diabetes. The famine effect on hyperuricemia was accentuated by overweight or obesity (P for interaction = 0.042). Compared with unexposed and BMI < 24 kg/m2 participants, the OR (95%CI) of hyperuricemia was 3.66 (2.13–6.30) for fetal-exposed and overweight/obesity participants. However, combined unexposed and early-childhood exposed participants as an age-balanced control, the interaction of famine exposure and BMI was not statistically significant (P for interaction = 0.054).

Conclusion

Famine exposure in the fetal stage was associated with an increased risk of hyperuricemia in adulthood.
Hinweise

Supplementary information

Supplementary information accompanies this paper at https://​doi.​org/​10.​1186/​s12889-019-8017-1.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
BMI
Body mass index
CHARLS
China Health and Retirement Longitudinal Study
CI
Confidence interval
HbA1c
Glycated hemoglobin
OR
Odds ratio
SUA
Serum uric acid

Background

Serum uric acid (SUA) is a natural product of purine metabolism. The overproduction or underexcretion of uric acid can result in hyperuricemia [1, 2]. Recently, the prevalence of hyperuricemia has been increasing throughout the world [35]. A national cross-sectional survey in Chinese adults showed the prevalence of hyperuricemia was 8.4%, approximately 92.9 million adults with hyperuricemia [6]. Furthermore, hyperuricemia is the dominant risk factor for gout and might cause worse outcomes in cardiovascular disease and chronic kidney disease [79].
Both non-genetic and inherited genetic risk factors can contribute to hyperuricemia [2]. Previous epidemiological studies indicated hyperuricemia was associated with age, gender, obesity, drinking, smoking, dietary, genes [2, 3, 1014]. In clinical studies, short-term starvation has been related to hyperuricemia [1517]. However, epidemiological evidence for the long-term effect of early-life famine exposure on hyperuricemia in later life was still limited.
The Chinese Great Famine in 1959–61 lasted for a relatively prolonged period, which could provide us with a natural experiment to investigate the association between famine in early life and hyperuricemia risk. In the present study, we used the data from the China Health and Retirement Longitudinal Study in 2015 to examine whether early-life exposure to the Chinese famine of 1959–61 increased the risk of hyperuricemia in later life.

Methods

Participants

The China Health and Retirement Longitudinal Study (CHARLS) is a nationally representative longitudinal survey of persons aged 45 years or older and their spouses, including household questionnaire, clinical measurements, and blood biomarkers [18]. For the current study, 2482 participants were enrolled into three famine exposure subgroups from 14,320 venous blood samples in the 2015 Wave of CHARLS. We dropped 99 participants who had missing data or outliners (Additional file 1: Table S1). As a result, the analysis included 2383 participants (Fig. 1).

Assessment of famine exposure and severity

We categorized participants by actual birthdate into three famine exposure subgroups:
unexposed (born between October 1, 1962, and September 30, 1964), fetal-exposed (born between October 1, 1959, and September 30, 1961), and early-childhood exposed (born between October 1, 1956, and September 1, 1958). To avoid the age-related biases [19], we combined unexposed and early-childhood exposed subgroup as an age-balanced control.
The severity of Chinese famine varied remarkably across regions and time [19]. As shown in previous studies [2023], provincial excess mortality in 1956–62 was computed as an indicator of famine severity, and excess mortality of 50% was used to classify provinces into severely affected and less severely affected areas.

Diagnosis of hyperuricemia

As widely accepted in previous studies [6, 2426], hyperuricemia was defined as SUA ≥ 7 mg/dL for men or SUA ≥ 6 mg/dL for women.

Covariates

Hypertension was defined as a self-report of doctor diagnosis or systolic blood pressure ≥ 140 mmHg or diastolic blood pressure ≥ 90 mmHg. Diabetes was defined as a self-report of doctor diagnosis or fasting blood glucose ≥126 mg/dL or HbA1c ≥ 6.5%. Gender (male = 1 and female = 0), marital status (if married and living with spouse = 1, and 0 otherwise), smoking (former or current = 1, and never = 0), drinking (former or current = 1, and never = 0), residence (urban = 1 and rural = 0), hypertension (yes = 1 and no = 0), diabetes (yes = 1 and no = 0) were coded as dichotomous variables. The body mass index (BMI) was calculated as weight in kilograms divided into height in meters squared (kg/m2). Based on the criteria recommendation for Chinese adult [27], overweight or obesity were defined as BMI ≥ 24.0 kg/m2.

Statistical analysis

Pearson’s Chi-Square test was used to detect the difference of categorical variables between two famine-exposed subgroups and the unexposed. The Bonferroni corrections were used to conduct post-hoc comparisons with the unexposed. We calculated odds ratios (ORs) with 95% confidence intervals (CIs) for risk of hyperuricemia by unconditional logistic regression, progressively adjusted for gender, marital status, famine severity, residence, smoking, drinking, BMI, hypertension, and diabetes. We assessed the multiplicative interaction of famine exposure, gender, residence, famine severity, BMI by the likelihood ratio test. A two-tailed P < 0.05 was considered as statistically significant. All statistical analyses were performed using Statistical Product and Service Solutions (SPSS, version 23.0).

Results

Table 1 presents the characteristics of all participants according to the famine exposure in early life. The sample size of the unexposed, fetal-exposed, and early-childhood exposed subgroup were 1001, 574, 808, respectively. All three famine exposure subgroups resembled each other in terms of gender compositions (about 53–56% female), marital status (roughly 88–90% married and living with spouse), and residence (over 72% lived in rural). Additionally, more than 50% of all participants were overweight or obesity. The differences of smoking and hypertension between three famine exposure subgroups were statistically significant (χ2 = 6.345, P = 0.042; χ2 = 13.536, P < 0.001). Compared with the unexposed participants, the prevalence of smoking and hypertension for the early-childhood exposed was higher (P < 0.025). The prevalence of hyperuricemia among the unexposed, fetal-exposed, and early-childhood exposed subgroup was 10.7, 14.1, 11.1%, respectively.
Table 1
Characteristics of participants according to the Chinese famine exposure
 
Unexposed
Fetal-exposed
Early-childhood exposed
N (%)
1001
574
808
Birthdate
 From Oct 1, year
1962
1959
1956
 To Sep 30, year
1964
1961
1958
Gender, n (%)
 Male
441 (44.1)
256 (44.6)
380 (47.0)
 Female
560 (55.9)
318 (55.4)
428 (53.0)
Marital, n (%)
 Married and living with spouse
902 (90.1)
508 (88.5)
713 (88.2)
 Otherwise
99 (9.9)
66 (11.5)
95 (11.8)
Residence, n (%)
 Urban
274 (27.4)
142 (24.7)
208 (25.7)
 Rural
727 (72.6)
432 (75.3)
600 (74.3)
Famine severity, n (%)
 Severely
631 (63.0)
338 (58.9)
493 (61.0)
 Less severely
370 (37.0)
236 (41.1)
315 (39.0)
 Smoking, n (%)
363 (36.3)
234 (40.8)
337 (41.7)†
 Drinking, n (%)
378 (37.8)
218 (38.0)
292 (36.1)
 Overweight/obesity, n (%)
541 (54.0)
292 (50.9)
410 (50.7)
 Hypertension, n (%)
288 (28.8)
191 (33.3)
298 (36.9)‡
 Diabetes, n (%)
135 (13.5)
92 (16.0)
136 (16.8)
 Hyperuricemia, n (%)
107 (10.7)
81 (14.1)
90 (11.1)
†Between the groups, χ2 = 6.345, P = 0.042. Compared with the unexposed, P < 0.025 (Bonferroni correction)
‡Between the groups, χ2 = 13.536, P < 0.001. Compared with the unexposed, P < 0.025 (Bonferroni correction)
The associations between famine exposure and the risk of hyperuricemia are shown in Table 2. Compared with the unexposed participants, the unadjusted OR (95%CI) of hyperuricemia was 1.37 (1.01–1.87) for fetal-exposed participants. After adjustment for gender, marital status, famine severity, residence, smoking, drinking, BMI, hypertension, and diabetes, the OR of hyperuricemia for fetal-exposed participants was statistically significant (OR = 1.44; 95%CI: 1.05–1.98). Furthermore, even compared with unexposed and early-childhood exposed participants combined, an age-balanced control, and adjusted potential confounders, the famine exposure in the fetal stage was associated with an increased risk of hyperuricemia (Additional file 1: Table S2). However, consistent results were not observed in the early-childhood exposed participants, when compared with unexposed participants.
Table 2
Association of famine exposure in early life with hyperuricemia
 
Unexposed
Fetal-exposed
Early-childhood exposed
Unadjusted
OR (95% CI)
1.00
1.37 (1.01–1.87)
1.05 (0.78–1.41)
Adjusted
OR (95% CI)
1.00
1.44 (1.05–1.98)
1.04 (0.77–1.42)
Abbreviations: OR odd ratio, CI confidence interval
As shown in Table 3, a multiplicative interaction was observed between famine exposure and BMI on hyperuricemia (P interaction = 0.042). Compared with unexposed and BMI < 24 kg/m2 participants, the OR (95%CI) of hyperuricemia was 3.66 (2.13–6.30) for fetal-exposed and overweight/obesity participants after adjusted other covariates. When combined unexposed and early-childhood exposed participants as an age-balanced control, the interaction of famine exposure and BMI was not statistically significant (P interaction = 0.054, Additional file 1: Table S3). Additionally, there was no statistical interaction between gender, famine severity, residence, and famine exposure on hyperuricemia (P interaction > 0.05).
Table 3
Multivariable-adjusted ORs (95%CI) for the association of gender, BMI, and famine exposure in early life with hyperuricemia
 
Unexposed
Fetal-exposed
Early-childhood exposed
P interaction
Gendera
0.374
 Female
1.00
1.29 (0.80–2.06)
1.96 (1.17–3.28)
 
 Male
1.56 (0.95–2.58)
2.46 (1.43–4.26)
0.81 (0.50–1.30)
 
Famine severityb
0.351
 Less severity
1.00
1.31 (0.77–2.22)
1.27 (0.77–2.08)
 
 Severity
1.20 (0.78–1.85)
1.85 (1.16–2.96)
1.11 (0.70–1.76)
 
Residencec
0.548
 Rural
1.00
1.54 (1.05–2.25)
1.16 (0.81–1.67)
 
 Urban
1.29 (0.84–2.00)
1.61 (0.95–2.73)
1.03 (0.62–1.73)
 
BMI, kg/m2d
0.042
  < 24
1.00
2.58 (1.49–4.53)
1.58 (0.89–2.78)
 
  ≥ 24
3.39 (2.06–5.57)
3.66 (2.13–6.30)
3.00 (1.78–5.06)
 
Abbreviations: OR odds ratio, CI confidence interval, BMI body mass index
a adjust marital status, famine severity, residence, smoking, drinking, BMI, hypertension, and diabetes
b adjust gender, marital status, residence, smoking, drinking, BMI, hypertension, and diabetes
c adjust gender, marital status, famine severity, smoking, drinking, BMI, hypertension, and diabetes
d adjust gender, marital status, famine severity, residence, smoking, drinking, hypertension, and diabetes

Discussion

In this study using data from the China Health and Retirement Longitudinal Survey, fetal famine exposure was associated with an increased risk of hyperuricemia in adulthood. The famine effect on hyperuricemia was accentuated by overweight/obesity. Compared with unexposed and BMI < 24 kg/m2 participants, those who were exposed to famine in the fetal stage and overweight/obesity had more than three times higher risk of hyperuricemia.
Previous studies have shown serum uric acid concentration would increase during starvation [1517]. Furthermore, our study for the first time found that the experience of famine in the fetal stage was associated with hyperuricemia in later life. Accumulating evidence suggests that intrauterine malnutrition is associated with low fetal birth weight and low renal nephron numbers at all ages [28, 29]. The age-induced renal changes and structural changes may occur earlier in life because of intrauterine malnutrition, which means the occurrence of glomerular filtration rate decline is earlier [30]. The alterations in renal function may cause underexcretion of uric acid, which is likely to contribute to the development of hyperuricemia [16, 31, 32]. Further studies should be conducted to assess the effects of maladaptive adjustment to genes expression and renal dysfunction on hyperuricemia. In addition, the association between fetal famine exposure and hyperuricemia in adulthood did not change substantially after adjustment for overweight/obesity and other covariates, suggesting that overweight/obesity might not be a mediator for the association.
Our findings, consistent with previous studies [15, 33], indicated famine exposure in early life interacted with overweight/obesity during adulthood to influence hyperuricemia risk. Obesity has been linked to insulin resistance, which can facilitate the reabsorption of uric acid by augmenting the renal tubular sodium-hydrogen exchanger [3436]. Additionally, impaired uric acid clearance is likely the main cause of hyperuricemia in obesity subjects because of the effect of hyperinsulinemia secondary to insulin resistance [34, 37]. As the thrifty phenotype hypothesis proposed, the occurrence of pathological changes following poor nutrition in early life may be dependent on the superimposition of risk factors in later life [38].
Consistent with some studies [20, 23, 39], we did not find any larger famine effects among adults born in severely affected versus less severely affected areas. This result may be explained by a great variation of famine severity in the county-level mortality [19], which caused the misclassification of famine severity. Further studies should be conducted that collect historical demographic records at the local level and find a more reliable indicator to better distinguish famine severity.
Additionally, we observed 52.5% of all participants aged 50–59 years in 2015 and 46.9% of men were overweight and obesity, which was higher than men aged 15–49 years (36.4%) in 2014 [40]. Thus, we might speculate whether age or famine effects could increase the prevalence of overweight and obesity. Although a previous study indicated the association between the risk of overweight, obesity and exposure to famine in early life in women aged 54–56 years but not in men [39], more detailed evidence and prospective cohorts are needed to confirm the risk of health caused by famine exposure in early life.
Several limitations of this study should be noted. First, individual famine exposure records were absent. The timing and severity of the Chinese famine varied greatly across regions. We used participant’s birthdate to distinguish famine exposure and computed excess mortality at the provincial level to measure famine severity. The misclassification bias was inevitable but should be nondifferential. To minimize potential misclassification, we excluded these participants born in the junction between three famine exposure subgroups. Second, medication information that may affect serum uric acid concentrations was not considered in the definition of hyperuricemia. Third, personal dietary information and family history of hyperuricemia was not available, which may be related to hyperuricemia. In addition, although the age-balanced control was used to avoid the age-related biases, the difference of age between the age-balanced control and fetal-exposed group still exists. Despite these limitations, this study has been among the first to investigate the long-term effects of early-life exposure to famine on hyperuricemia in Chinese adults.

Conclusions

Famine exposure in the fetal stage was associated with an increased risk of hyperuricemia in adulthood. And the famine exposure effect on hyperuricemia was accentuated by overweight/obesity.

Supplementary information

Supplementary information accompanies this paper at https://​doi.​org/​10.​1186/​s12889-019-8017-1.

Acknowledgements

The authors are grateful to the China Health and Retirement Longitudinal Study (CHARLS) team for providing data.
This study used public data from CHARLS to analyse. The blood-based biomarker sample collection study was granted by the ethical review committee (IRB) of Peking University (IRB 00001052–11014). Written informed consent was obtained from all participants.
Not applicable.

Competing interests

The authors declare that they have no competing interests.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://​creativecommons.​org/​licenses/​by/​4.​0/​), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
Zurück zum Zitat Ichida K, Matsuo H, Takada T, Nakayama A, Murakami K, Shimizu T, Yamanashi Y, Kasuga H, Nakashima H, Nakamura T, et al. Decreased extra-renal urate excretion is a common cause of hyperuricemia. Nat Commun. 2012;3:764.CrossRef Ichida K, Matsuo H, Takada T, Nakayama A, Murakami K, Shimizu T, Yamanashi Y, Kasuga H, Nakashima H, Nakamura T, et al. Decreased extra-renal urate excretion is a common cause of hyperuricemia. Nat Commun. 2012;3:764.CrossRef
2.
Zurück zum Zitat Dalbeth N, Merriman TR, Stamp LK. Gout. Lancet. 2016;388(10055):2039–52.CrossRef Dalbeth N, Merriman TR, Stamp LK. Gout. Lancet. 2016;388(10055):2039–52.CrossRef
3.
Zurück zum Zitat Smith E, March L. Global prevalence of Hyperuricemia: a systematic review of population-based epidemiological studies. Arthritis Rheumatol. 2015;67:2690–2.CrossRef Smith E, March L. Global prevalence of Hyperuricemia: a systematic review of population-based epidemiological studies. Arthritis Rheumatol. 2015;67:2690–2.CrossRef
4.
Zurück zum Zitat Zhu Y, Pandya BJ, Choi HK. Prevalence of gout and hyperuricemia in the US general population: the National Health and nutrition examination survey 2007-2008. Arthritis Rheum. 2011;63(10):3136–41.CrossRef Zhu Y, Pandya BJ, Choi HK. Prevalence of gout and hyperuricemia in the US general population: the National Health and nutrition examination survey 2007-2008. Arthritis Rheum. 2011;63(10):3136–41.CrossRef
5.
Zurück zum Zitat Trifiro G, Morabito P, Cavagna L, Ferrajolo C, Pecchioli S, Simonetti M, Bianchini E, Medea G, Cricelli C, Caputi AP, et al. Epidemiology of gout and hyperuricaemia in Italy during the years 2005-2009: a nationwide population-based study. Ann Rheum Dis. 2013;72(5):694–700.CrossRef Trifiro G, Morabito P, Cavagna L, Ferrajolo C, Pecchioli S, Simonetti M, Bianchini E, Medea G, Cricelli C, Caputi AP, et al. Epidemiology of gout and hyperuricaemia in Italy during the years 2005-2009: a nationwide population-based study. Ann Rheum Dis. 2013;72(5):694–700.CrossRef
6.
Zurück zum Zitat Liu H, Zhang XM, Wang YL, Liu BC. Prevalence of hyperuricemia among Chinese adults: a national cross-sectional survey using multistage, stratified sampling. J Nephrol. 2014;27(6):653–8.CrossRef Liu H, Zhang XM, Wang YL, Liu BC. Prevalence of hyperuricemia among Chinese adults: a national cross-sectional survey using multistage, stratified sampling. J Nephrol. 2014;27(6):653–8.CrossRef
7.
Zurück zum Zitat Testa A, Mallamaci F, Spoto B, Pisano A, Sanguedolce MC, Tripepi G, Leonardis D, Zoccali C. Association of a polymorphism in a gene encoding a urate transporter with CKD progression. Clin J Am Soc Nephrol. 2014;9(6):1059–65.CrossRef Testa A, Mallamaci F, Spoto B, Pisano A, Sanguedolce MC, Tripepi G, Leonardis D, Zoccali C. Association of a polymorphism in a gene encoding a urate transporter with CKD progression. Clin J Am Soc Nephrol. 2014;9(6):1059–65.CrossRef
8.
Zurück zum Zitat Mallamaci F, Testa A, Leonardis D, Tripepi R, Pisano A, Spoto B, Sanguedolce MC, Parlongo RM, Tripepi G, Zoccali C. A genetic marker of uric acid level, carotid atherosclerosis, and arterial stiffness: a family-based study. Am J Kidney Dis. 2015;65(2):294–302.CrossRef Mallamaci F, Testa A, Leonardis D, Tripepi R, Pisano A, Spoto B, Sanguedolce MC, Parlongo RM, Tripepi G, Zoccali C. A genetic marker of uric acid level, carotid atherosclerosis, and arterial stiffness: a family-based study. Am J Kidney Dis. 2015;65(2):294–302.CrossRef
9.
Zurück zum Zitat Kleber ME, Delgado G, Grammer TB, Silbernagel G, Huang J, Kramer BK, Ritz E, Marz W. Uric acid and cardiovascular events: a Mendelian randomization study. J Am Soc Nephrol. 2015;26(11):2831–8.CrossRef Kleber ME, Delgado G, Grammer TB, Silbernagel G, Huang J, Kramer BK, Ritz E, Marz W. Uric acid and cardiovascular events: a Mendelian randomization study. J Am Soc Nephrol. 2015;26(11):2831–8.CrossRef
10.
Zurück zum Zitat Yu S, Yang H, Guo X, Zhang X, Zhou Y, Ou Q, Zheng L, Sun Y. Prevalence of hyperuricemia and its correlates in rural northeast Chinese population: from lifestyle risk factors to metabolic comorbidities. Clin Rheumatol. 2016;35(5):1207–15.CrossRef Yu S, Yang H, Guo X, Zhang X, Zhou Y, Ou Q, Zheng L, Sun Y. Prevalence of hyperuricemia and its correlates in rural northeast Chinese population: from lifestyle risk factors to metabolic comorbidities. Clin Rheumatol. 2016;35(5):1207–15.CrossRef
11.
Zurück zum Zitat Cui L, Meng L, Wang G, Yuan X, Li Z, Mu R, Wu S. Prevalence and risk factors of hyperuricemia: results of the Kailuan cohort study. Mod Rheumatol. 2017;27(6):1066–71.CrossRef Cui L, Meng L, Wang G, Yuan X, Li Z, Mu R, Wu S. Prevalence and risk factors of hyperuricemia: results of the Kailuan cohort study. Mod Rheumatol. 2017;27(6):1066–71.CrossRef
12.
Zurück zum Zitat Ali N, Perveen R, Rahman S, Mahmood S, Rahman S, Islam S, Haque T, Sumon AH, Kathak RR, Molla NH, et al. Prevalence of hyperuricemia and the relationship between serum uric acid and obesity: a study on Bangladeshi adults. PLoS One. 2018;13(11):e0206850.CrossRef Ali N, Perveen R, Rahman S, Mahmood S, Rahman S, Islam S, Haque T, Sumon AH, Kathak RR, Molla NH, et al. Prevalence of hyperuricemia and the relationship between serum uric acid and obesity: a study on Bangladeshi adults. PLoS One. 2018;13(11):e0206850.CrossRef
13.
Zurück zum Zitat Lee MF, Liou TH, Wang W, Pan WH, Lee WJ, Hsu CT, Wu SF, Chen HH. Gender, body mass index, and PPARgamma polymorphism are good indicators in hyperuricemia prediction for Han Chinese. Genet Test Mol Biomarkers. 2013;17(1):40–6.CrossRef Lee MF, Liou TH, Wang W, Pan WH, Lee WJ, Hsu CT, Wu SF, Chen HH. Gender, body mass index, and PPARgamma polymorphism are good indicators in hyperuricemia prediction for Han Chinese. Genet Test Mol Biomarkers. 2013;17(1):40–6.CrossRef
14.
Zurück zum Zitat Shiraishi H, Une H. The effect of the interaction between obesity and drinking on hyperuricemia in Japanese male office workers. J Epidemiol. 2009;19(1):12–6.CrossRef Shiraishi H, Une H. The effect of the interaction between obesity and drinking on hyperuricemia in Japanese male office workers. J Epidemiol. 2009;19(1):12–6.CrossRef
15.
Zurück zum Zitat Alderman MH, Davis RP. Hyperuricemia in starvation. P Soc Exp Biol Med. 1965;118(3):790–2.CrossRef Alderman MH, Davis RP. Hyperuricemia in starvation. P Soc Exp Biol Med. 1965;118(3):790–2.CrossRef
16.
Zurück zum Zitat Lennox WG. Increase of uric acid in the blood during prolonged starvation. J Am Med Assoc. 1924;82:602–4.CrossRef Lennox WG. Increase of uric acid in the blood during prolonged starvation. J Am Med Assoc. 1924;82:602–4.CrossRef
17.
Zurück zum Zitat Lloydmostyn RH, Lord PS, Glover R, West C, Gilliland IC. Uric acid metabolism in starvation. Ann Rheum Dis. 1970;29(5):553–5.CrossRef Lloydmostyn RH, Lord PS, Glover R, West C, Gilliland IC. Uric acid metabolism in starvation. Ann Rheum Dis. 1970;29(5):553–5.CrossRef
18.
Zurück zum Zitat Zhao Y, Hu Y, Smith JP, Strauss J, Yang G. Cohort profile: the China health and retirement longitudinal study (CHARLS). Int J Epidemiol. 2014;43(1):61–8.CrossRef Zhao Y, Hu Y, Smith JP, Strauss J, Yang G. Cohort profile: the China health and retirement longitudinal study (CHARLS). Int J Epidemiol. 2014;43(1):61–8.CrossRef
19.
Zurück zum Zitat Li C, Lumey LH. Exposure to the Chinese famine of 1959-61 in early life and long-term health conditions: a systematic review and meta-analysis. Int J Epidemiol. 2017;46(4):1157–70.CrossRef Li C, Lumey LH. Exposure to the Chinese famine of 1959-61 in early life and long-term health conditions: a systematic review and meta-analysis. Int J Epidemiol. 2017;46(4):1157–70.CrossRef
20.
Zurück zum Zitat Wang Z, Li C, Yang Z, Ma J, Zou Z. Fetal and infant exposure to severe Chinese famine increases the risk of adult dyslipidemia: results from the China health and retirement longitudinal study. BMC Public Health. 2017;17(1):488.CrossRef Wang Z, Li C, Yang Z, Ma J, Zou Z. Fetal and infant exposure to severe Chinese famine increases the risk of adult dyslipidemia: results from the China health and retirement longitudinal study. BMC Public Health. 2017;17(1):488.CrossRef
21.
Zurück zum Zitat Wang Z, Li C, Yang Z, Zou Z, Ma J. Infant exposure to Chinese famine increased the risk of hypertension in adulthood: results from the China health and retirement longitudinal study. BMC Public Health. 2016;16:435.CrossRef Wang Z, Li C, Yang Z, Zou Z, Ma J. Infant exposure to Chinese famine increased the risk of hypertension in adulthood: results from the China health and retirement longitudinal study. BMC Public Health. 2016;16:435.CrossRef
22.
Zurück zum Zitat Luo ZH, Mu R, Zhang XB. Famine and overweight in China. Rev Agr Econ. 2006;28(3):296–304.CrossRef Luo ZH, Mu R, Zhang XB. Famine and overweight in China. Rev Agr Econ. 2006;28(3):296–304.CrossRef
23.
Zurück zum Zitat Wang Z, Zou Z, Yang Z, Dong Y, Song J, Dong B, Ma J, Arnold L. The association between fetal-stage exposure to the China famine and risk of diabetes mellitus in adulthood: results from the China health and retirement longitudinal study. BMC Public Health. 2018;18(1):1205.CrossRef Wang Z, Zou Z, Yang Z, Dong Y, Song J, Dong B, Ma J, Arnold L. The association between fetal-stage exposure to the China famine and risk of diabetes mellitus in adulthood: results from the China health and retirement longitudinal study. BMC Public Health. 2018;18(1):1205.CrossRef
24.
Zurück zum Zitat Wu J, Qiu L, Cheng XQ, Xu T, Wu W, Zeng XJ, Ye YC, Guo XZ, Cheng Q, Liu Q, et al. Hyperuricemia and clustering of cardiovascular risk factors in the Chinese adult population. Sci Rep. 2017;7(1):5456.CrossRef Wu J, Qiu L, Cheng XQ, Xu T, Wu W, Zeng XJ, Ye YC, Guo XZ, Cheng Q, Liu Q, et al. Hyperuricemia and clustering of cardiovascular risk factors in the Chinese adult population. Sci Rep. 2017;7(1):5456.CrossRef
25.
Zurück zum Zitat Zhang Y, Wei F, Chen C, Cai C, Zhang K, Sun N, Tian J, Shi W, Zhang M, Zang Y, et al. Higher triglyceride level predicts hyperuricemia: a prospective study of 6-year follow-up. J Clin Lipidol. 2018;12(1):185–92.CrossRef Zhang Y, Wei F, Chen C, Cai C, Zhang K, Sun N, Tian J, Shi W, Zhang M, Zang Y, et al. Higher triglyceride level predicts hyperuricemia: a prospective study of 6-year follow-up. J Clin Lipidol. 2018;12(1):185–92.CrossRef
26.
Zurück zum Zitat Kuwabara M, Niwa K, Hisatome I, Nakagawa T, Roncal-Jimenez CA, Andres-Hernando A, Bjornstad P, Jensen T, Sato Y, Milagres T, et al. Asymptomatic Hyperuricemia without comorbidities predicts Cardiometabolic diseases: five-year Japanese cohort study. Hypertension. 2017;69(6):1036–44.CrossRef Kuwabara M, Niwa K, Hisatome I, Nakagawa T, Roncal-Jimenez CA, Andres-Hernando A, Bjornstad P, Jensen T, Sato Y, Milagres T, et al. Asymptomatic Hyperuricemia without comorbidities predicts Cardiometabolic diseases: five-year Japanese cohort study. Hypertension. 2017;69(6):1036–44.CrossRef
27.
Zurück zum Zitat Chen C, Lu FC. Department of Disease Control Ministry of Health PRC. The guidelines for prevention and control of overweight and obesity in Chinese adults. Biomed Environ Sci. 2004;17(Suppl):1–36.PubMed Chen C, Lu FC. Department of Disease Control Ministry of Health PRC. The guidelines for prevention and control of overweight and obesity in Chinese adults. Biomed Environ Sci. 2004;17(Suppl):1–36.PubMed
28.
Zurück zum Zitat Mesquita FF, Gontijo JA, Boer PA. Maternal undernutrition and the offspring kidney: from fetal to adult life. Braz J Med Biol Res. 2010;43(11):1010–8.CrossRef Mesquita FF, Gontijo JA, Boer PA. Maternal undernutrition and the offspring kidney: from fetal to adult life. Braz J Med Biol Res. 2010;43(11):1010–8.CrossRef
29.
Zurück zum Zitat Pham TD, MacLennan NK, Chiu CT, Laksana GS, Hsu JL, Lane RH. Uteroplacental insufficiency increases apoptosis and alters p53 gene methylation in the full-term IUGR rat kidney. Am J Physiol Regul Integr Comp Physiol. 2003;285(5):R962–70.CrossRef Pham TD, MacLennan NK, Chiu CT, Laksana GS, Hsu JL, Lane RH. Uteroplacental insufficiency increases apoptosis and alters p53 gene methylation in the full-term IUGR rat kidney. Am J Physiol Regul Integr Comp Physiol. 2003;285(5):R962–70.CrossRef
30.
Zurück zum Zitat Franco M. Intrauterine undernutrition—renal and vascular origin of hypertension. Cardiovasc Res. 2003;60(2):228–34.CrossRef Franco M. Intrauterine undernutrition—renal and vascular origin of hypertension. Cardiovasc Res. 2003;60(2):228–34.CrossRef
31.
Zurück zum Zitat Murphy R, Shipman KH. Hyperuricemia during Total fasting: renal factors. Arch Intern Med. 1963;112:954–9.PubMed Murphy R, Shipman KH. Hyperuricemia during Total fasting: renal factors. Arch Intern Med. 1963;112:954–9.PubMed
32.
Zurück zum Zitat Lennox WG. A study of the retention of uric acid during starvation. J Biol Chem. 1925;66:521–72. Lennox WG. A study of the retention of uric acid during starvation. J Biol Chem. 1925;66:521–72.
33.
Zurück zum Zitat Drenick EJ. Hyperuricemia, acute gout, renal insufficiency and urate nephrolithiasis due to starvation. Arthritis Rheum. 1965;8:988–97.CrossRef Drenick EJ. Hyperuricemia, acute gout, renal insufficiency and urate nephrolithiasis due to starvation. Arthritis Rheum. 1965;8:988–97.CrossRef
34.
Zurück zum Zitat Quinones Galvan A, Natali A, Baldi S, Frascerra S, Sanna G, Ciociaro D, Ferrannini E. Effect of insulin on uric acid excretion in humans. Am J Phys. 1995;268(1 Pt 1):E1–5. Quinones Galvan A, Natali A, Baldi S, Frascerra S, Sanna G, Ciociaro D, Ferrannini E. Effect of insulin on uric acid excretion in humans. Am J Phys. 1995;268(1 Pt 1):E1–5.
35.
Zurück zum Zitat Ter Maaten JC, Voorburg A, Heine RJ, Ter Wee PM, Donker AJ, Gans RO. Renal handling of urate and sodium during acute physiological hyperinsulinaemia in healthy subjects. Clin Sci (Lond). 1997;92(1):51–8.CrossRef Ter Maaten JC, Voorburg A, Heine RJ, Ter Wee PM, Donker AJ, Gans RO. Renal handling of urate and sodium during acute physiological hyperinsulinaemia in healthy subjects. Clin Sci (Lond). 1997;92(1):51–8.CrossRef
36.
Zurück zum Zitat Lim SM, Choi DP, Rhee Y, Kim HC. Association between obesity indices and insulin resistance among healthy Korean adolescents: the JS high school study. PLoS One. 2015;10(5):e0125238.CrossRef Lim SM, Choi DP, Rhee Y, Kim HC. Association between obesity indices and insulin resistance among healthy Korean adolescents: the JS high school study. PLoS One. 2015;10(5):e0125238.CrossRef
37.
Zurück zum Zitat Yamashita S, Matsuzawa Y, Tokunaga K, Fujioka S, Tarui S. Studies on the impaired metabolism of uric acid in obese subjects: marked reduction of renal urate excretion and its improvement by a low-calorie diet. Int J Obes. 1986;10(4):255–64.PubMed Yamashita S, Matsuzawa Y, Tokunaga K, Fujioka S, Tarui S. Studies on the impaired metabolism of uric acid in obese subjects: marked reduction of renal urate excretion and its improvement by a low-calorie diet. Int J Obes. 1986;10(4):255–64.PubMed
38.
Zurück zum Zitat Hales CN, Barker DJ. The thrifty phenotype hypothesis. Br Med Bull. 2001;60:5–20.CrossRef Hales CN, Barker DJ. The thrifty phenotype hypothesis. Br Med Bull. 2001;60:5–20.CrossRef
39.
Zurück zum Zitat Chang X, Song P, Wang M, An L. The risks of overweight, obesity and abdominal obesity in middle age after exposure to famine in early life: evidence from the China's 1959-1961 famine. J Nutr Health Aging. 2018;22(10):1198–204.CrossRef Chang X, Song P, Wang M, An L. The risks of overweight, obesity and abdominal obesity in middle age after exposure to famine in early life: evidence from the China's 1959-1961 famine. J Nutr Health Aging. 2018;22(10):1198–204.CrossRef
40.
Zurück zum Zitat He Y, Pan A, Wang Y, Yang Y, Xu J, Zhang Y, Liu D, Wang Q, Shen H, Zhang Y, et al. Prevalence of overweight and obesity in 15.8 million men aged 15–49 years in rural China from 2010 to 2014. Sci Rep. 2017;7(1):5012.CrossRef He Y, Pan A, Wang Y, Yang Y, Xu J, Zhang Y, Liu D, Wang Q, Shen H, Zhang Y, et al. Prevalence of overweight and obesity in 15.8 million men aged 15–49 years in rural China from 2010 to 2014. Sci Rep. 2017;7(1):5012.CrossRef
Metadaten
Titel
Early-life exposure to the Chinese famine of 1959–61 and risk of Hyperuricemia: results from the China health and retirement longitudinal study
verfasst von
Wenqiang Zhang
Rongsheng Luan
Publikationsdatum
01.12.2020
Verlag
BioMed Central
Erschienen in
BMC Public Health / Ausgabe 1/2020
Elektronische ISSN: 1471-2458
DOI
https://doi.org/10.1186/s12889-019-8017-1

Weitere Artikel der Ausgabe 1/2020

BMC Public Health 1/2020 Zur Ausgabe