Does the Association of Sedentary Time or Fruit/Vegetable Intake with Central Obesity Depend on Menopausal Status among Women?
Abstract
:1. Introduction
2. Materials and Methods
2.1. Study Design, Settings, Recruitment, and Participants
2.2. Measurement
2.2.1. Sociodemographic Characteristics
2.2.2. Menopausal Status
2.2.3. Sedentary Time
2.2.4. F/V Intake
2.2.5. WC
2.2.6. BMI
2.3. Data Collection
2.4. Statistical Methods
3. Results
3.1. Demographics of Participants
3.2. Menopausal Status, Sedentary Time, and F/V Intake
3.3. The Proportion of Women with Central Obesity
3.4. Independent Association of Sedentary Time, F/V Intake, and Menopausal Status with Central Obesity among Women
3.5. Joint Association of Sedentary Time or F/V Intake and Menopausal Status among Women with Central Obesity
4. Discussion
4.1. Study Limitations
4.2. Implication
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
- Bracht, J.R.; Vieira-Potter, V.J.; Santos, R.D.S.; Öz, O.K.; Palmer, B.F.; Clegg, D.J. The role of estrogens in the adipose tissue milieu. Ann. New York Acad. Sci. 2020, 1461, 127–143. [Google Scholar] [CrossRef] [PubMed]
- Pang, Q.; Zhang, J.Y.; Qu, K.; Song, S.D.; Liu, S.S.; Liu, C. Central obesity induces a greater risk of hepatocellular carcinoma than general obesity. Hepatology 2015, 62, 979–980. [Google Scholar] [CrossRef] [PubMed]
- Shelgikar, K.M.; Hockaday, T.D.; Yajnik, C.S. Central rather than generalized obesity is related to hyperglycaemia in Asian Indian subjects. Diabet. Med. 1991, 8, 712–717. [Google Scholar] [CrossRef] [PubMed]
- Man, R.E.K.; Sabanayagam, C.; Chiang, P.P.-C.; Li, L.-J.; Noonan, J.E.; Wang, J.J.; Wong, T.Y.; Cheung, G.C.-M.; Tan, G.S.W.; Lamoureux, E.L. Differential association of generalized and abdominal obesity with diabetic retinopathy in Asian patients with type 2 diabetes. JAMA Ophthalmol. 2016, 134, 251–257. [Google Scholar] [CrossRef]
- Du, P.; Wang, H.-J.; Zhang, B.; Qi, S.-F.; Mi, Y.-J.; Liu, D.-W.; Tian, Q.-B. Prevalence of abdominal obesity among Chinese adults in 2011. J. Epidemiol. 2017, 27, 282–286. [Google Scholar] [CrossRef]
- Wang, Y.; Beydoun, M.A.; Min, J.; Xue, H.; Kaminsky, L.A.; Cheskin, L.J. Has the prevalence of overweight, obesity and central obesity levelled off in the United States? Trends, patterns, disparities, and future projections for the obesity epidemic. Int. J. Epidemiol. 2020, 49, 810–823. [Google Scholar] [CrossRef]
- Wu, S.; Wang, R.; Jiang, A.; Ding, Y.; Wu, M.; Ma, X.; Zhao, Y.; He, J. Abdominal obesity and its association with health-related quality of life in adults: A population-based study in five Chinese cities. Health Qual. Life Outcomes 2014, 12, 100. [Google Scholar] [CrossRef]
- Xi, B.; Liang, Y.; He, T.; Reilly, K.H.; Hu, Y.; Wang, Q.; Yan, Y.; Mi, J. Secular trends in the prevalence of general and abdominal obesity among Chinese adults, 1993–2009. Obes. Rev. 2012, 13, 287–296. [Google Scholar] [CrossRef]
- Zimta, A.-A.; Tigu, A.B.; Muntean, M.; Cenariu, D.; Slaby, O.; Berindan-Neagoe, I. Molecular links between central obesity and breast cancer. Int. J. Mol. Sci. 2019, 20, 5364. [Google Scholar] [CrossRef]
- Aune, D.; Rosenblatt, D.A.N.; Chan, D.S.M.; Vingeliene, S.; Abar, L.; Vieira, A.R.; Greenwood, D.C.; Bandera, E.V.; Norat, T. Anthropometric factors and endometrial cancer risk: A systematic review and dose-response meta-analysis of prospective studies. Ann. Oncol. 2015, 26, 1635–1648. [Google Scholar] [CrossRef]
- Lim, S.; Davies, M.; Norman, R.; Moran, L. Overweight, obesity and central obesity in women with polycystic ovary syndrome: A systematic review and meta-analysis. Hum. Reprod. Update 2012, 18, 618–637. [Google Scholar] [CrossRef] [PubMed]
- Tenk, J.; Mátrai, P.; Hegyi, P.; Rostás, I.; Garami, A.; Szabó, I.; Hartmann, P.; Pétervári, E.; Czopf, L.; Hussain, A.; et al. Perceived stress correlates with visceral obesity and lipid parameters of the metabolic syndrome: A systematic review and meta-analysis. Psychoneuroendocrinology 2018, 95, 63–73. [Google Scholar] [CrossRef] [PubMed]
- Heidari-Beni, M.; Azizi-Soleiman, F.; Afshar, H.; Khosravi-Boroujeni, H.; Keshteli, A.H.; Esmaillzadeh, A.; Adibi, P. Relationship between obesity and depression, anxiety and psychological distress among Iranian health-care staff. East. Mediterr. Health J. 2021, 27, 327–335. [Google Scholar] [CrossRef]
- Konttinen, H.; Van Strien, T.; Männistö, S.; Jousilahti, P.; Haukkala, A. Depression, emotional eating and long-term weight changes: A population-based prospective study. Int. J. Behav. Nutr. Phys. Act. 2019, 16, 28. [Google Scholar] [CrossRef] [PubMed]
- Wang, Y.; Beydoun, M.A.; Liang, L.; Caballero, B.; Kumanyika, S.K. Will all Americans become overweight or obese? estimating the progression and cost of the US obesity epidemic. Obesity 2008, 16, 2323–2330. [Google Scholar] [CrossRef] [PubMed]
- Isgin-Atici, K.; Alsulami, S.; Turan-Demirci, B.; Surendran, S.; Sendur, S.N.; Lay, I.; Karabulut, E.; Ellahi, B.; Lovegrove, J.A.; Alikasifoglu, M.; et al. FTO gene-lifestyle interactions on serum adiponectin concentrations and central obesity in a Turkish population. Int. J. Food Sci. Nutr. 2021, 72, 375–385. [Google Scholar] [CrossRef]
- Florey Adelaide Male Aging Study; Atlantis, E.; Martin, S.A.; Haren, M.; Taylor, A.; Wittert, G.A. Lifestyle factors associated with age-related differences in body composition: The Florey Adelaide Male Aging Study. Am. J. Clin. Nutr. 2008, 88, 95–104. [Google Scholar]
- Forkert, E.C.D.O.; De Moraes, A.C.F.; Carvalho, H.; Kafatos, A.; Manios, Y.; Sjöström, M.; Gonzalez-Gross, M.; Gottrand, F.; Beghin, L.; Censi, L.; et al. Abdominal obesity and its association with socioeconomic factors among adolescents from different living environments. Pediatr. Obes. 2017, 12, 110–119. [Google Scholar] [CrossRef]
- Soules, M.R.; Sherman, S.; Parrott, E.; Rebar, R.; Santoro, N.; Utian, W.; Woods, N. Executive summary: Stages of Reproductive Aging Workshop (STRAW). Climacteric 2001, 4, 267–272. [Google Scholar] [CrossRef]
- Brinton, R.D.; Yao, J.; Yin, F.; Mack, W.J.; Cadenas, E. Perimenopause as a neurological transition state. Nat. Rev. Endocrinol. 2015, 11, 393–405. [Google Scholar] [CrossRef]
- Macdonald, H.M.; New, S.A.; Campbell, M.K.; Reid, D.M. Longitudinal changes in weight in perimenopausal and early postmenopausal women: Effects of dietary energy intake, energy expenditure, dietary calcium intake and hormone replacement therapy. Int. J. Obes. Relat. Metab. Disord. 2003, 27, 669–676. [Google Scholar] [CrossRef] [PubMed]
- Ambikairajah, A.; Walsh, E.; Tabatabaei-Jafari, H.; Cherbuin, N. Fat mass changes during menopause: A metaanalysis. Am. J. Obstet. Gynecol. 2019, 221, 393–409.e50. [Google Scholar] [CrossRef] [PubMed]
- Leeners, B.; Geary, N.; Tobler, P.N.; Asarian, L. Ovarian hormones and obesity. Hum. Reprod. Update 2017, 23, 300–321. [Google Scholar] [CrossRef] [PubMed]
- Sternfeld, B.; Wang, H.; Quesenberry, C.P.; Abrams, B.; Everson-Rose, S.; Greendale, G.A.; Matthews, K.A.; Torrens, J.I.; Sowers, M. Physical activity and changes in weight and waist circumference in midlife women: Findings from the Study of Women’s Health Across the Nation. Am. J. Epidemiol. 2004, 160, 912–922. [Google Scholar] [CrossRef]
- Hruby, A.; Hu, F.B. The Epidemiology of Obesity: A Big Picture. Pharmacoeconomics 2014, 33, 673–689. [Google Scholar] [CrossRef]
- Swinburn, B.A.; Sacks, G.; Hall, K.D.; McPherson, K.; Finegood, D.T.; Moodie, M.L.; Gortmaker, S.L. The global obesity pandemic: Shaped by global drivers and local environments. Lancet 2011, 378, 804–814. [Google Scholar] [CrossRef]
- Gómez-Cabello, A.; Pedrero-Chamizo, R.; Olivares, P.R.; Hernández-Perera, R.; Rodríguez-Marroyo, J.A.; Mata, E.; Aznar, S.; Villa, J.G.; Espino-Torón, L.; Gusi, N.; et al. Sitting time increases the overweight and obesity risk independently of walking time in elderly people from Spain. Maturitas 2012, 73, 337–343. [Google Scholar] [CrossRef]
- Kim, D.; Hou, W.; Wang, F.; Arcan, C. Factors Affecting Obesity and Waist Circumference Among US Adults. Prev. Chronic Dis. 2019, 16, E02. [Google Scholar] [CrossRef]
- Networ, S.B. Letter to the Editor: Standardized use of the terms “sedentary” and “sedentary behaviours”. Appl. Physiol. Nutr. Metab. 2012, 37, 540–542. [Google Scholar]
- Peltzer, K.; Pengpid, S. The association of dietary behaviors and physical activity levels with general and central obesity among ASEAN university students. AIMS Public Health 2017, 4, 301–313. [Google Scholar] [CrossRef]
- Gómez-Cabello, A.; Vicente-Rodríguez, G.; Pindado, M.; Vila, S.; Casajús, J.A.; de la Fuente, F.P.; Ara, I. Increased risk of obesity and central obesity in sedentary postmenopausal women. Nutr. Hosp. 2012, 27, 865–870. [Google Scholar] [PubMed]
- Cho, K.-H.; Han, K.-D.; Choi, M.; Kim, Y.-H. Sitting time and obesity or abdominal obesity in older south Koreans: Korean National Health and Nutrition Examination Survey 2013. Behav. Med. 2017, 43, 251–258. [Google Scholar]
- Dai, C.-L.; Sharma, M.; Haider, T.; Sunchu, H. Fruit and vegetable consumption behavior among Asian Americans: A Thematic Analysis. J. Prim. Care Community Health 2021, 12, 2150132720984776. [Google Scholar] [CrossRef] [PubMed]
- Yu, Z.M.; DeClercq, V.; Cui, Y.; Forbes, C.; Grandy, S.; Keats, M.; Parker, L.; Sweeney, E.; Dummer, T.J.B. Fruit and vegetable intake and body adiposity among populations in Eastern Canada: The Atlantic Partnership for Tomorrow’s Health Study. BMJ Open 2018, 8, e018060. [Google Scholar] [CrossRef]
- Hong, S.A.; Kim, M.K. Relationship between fruit and vegetable intake and the risk of metabolic syndrome and its disorders in Korean women according to menopausal status. Asia Pac. J. Clin. Nutr. 2017, 26, 514–523. [Google Scholar]
- Azadbakht, L.; Gholi, Z.; Ghalaeh, R.S.; Bank, S.S. Fruit and vegetable intake, body mass index and waist circumference among young female students in Isfahan. J. Educ. Health Promot. 2012, 1, 29. [Google Scholar] [CrossRef]
- Cuschieri, S. The STROBE guidelines. Saudi J. Anaesth. 2019, 13 (Suppl. S1), S31–S34. [Google Scholar] [CrossRef]
- Phipps, A.I.; Ichikawa, L.; Bowles, E.J.; Carney, P.A.; Kerlikowske, K.; Miglioretti, D.L.; Buist, D.S. Defining menopausal status in epidemiologic studies: A comparison of multiple approaches and their effects on breast cancer rates. Maturitas 2010, 67, 60–66. [Google Scholar] [CrossRef]
- Craig, C.L.; Marshall, A.L.; Sjöström, M.; Bauman, A.E.; Booth, M.L.; Ainsworth, B.E.; Pratt, M.; Ekelund, U.L.; Yngve, A.; Sallis, J.F.; et al. International physical activity questionnaire: 12-country reliability and validity. Med. Sci. Sports Exerc. 2003, 35, 1381–1395. [Google Scholar] [CrossRef]
- Chen, J.-L.; Guo, J.; Lin, C.-X.; Yang, J.; Mao, P.; Jiang, S.; He, W.; Lien, K. Behavior characteristics and risk for metabolic syndrome among women in rural communities in China. J. Cardiovasc. Nurs. 2021, 37, 490–498. [Google Scholar] [CrossRef]
- Chen, Y.; Peng, Q.; Yang, Y.; Zheng, S.; Wang, Y.; Lu, W. The prevalence and increasing trends of overweight, general obesity, and abdominal obesity among Chinese adults: A repeated cross-sectional study. BMC Public Health 2019, 19, 1293. [Google Scholar] [CrossRef]
- Hu, L.; Huang, X.; You, C.; Li, J.; Hong, K.; Li, P.; Wu, Y.; Wu, Q.; Wang, Z.; Gao, R.; et al. Prevalence of overweight, obesity, abdominal obesity and obesity-related risk factors in southern China. PLoS ONE 2017, 12, e0183934. [Google Scholar] [CrossRef] [PubMed]
- Zestos, G.K.; Guo, W.; Patnode, R. Determinants of Real Chinese GDP 1978–2014. Atl. Econ. J. 2018, 46, 161–177. [Google Scholar] [CrossRef]
- Kang, Y.; Wang, X.; Chen, Z.; Jiang, L.; Zheng, C.; Yin, P.; Dong, W.; Zhang, L.; Zhou, M.; Wang, Z.; et al. Provincial disparities in the burden of cardiovascular diseases attributable to general, abdominal and visceral adiposity: Result from a recent national representative study. Chin. J. Cardiovasc. Res. 2021, 39, 1139–1146. [Google Scholar] [CrossRef]
- Liu, Q.; Cai, H.; Yang, L.H.; Xiang, Y.-B.; Yang, G.; Li, H.; Gao, Y.-T.; Zheng, W.; Susser, E.; Shu, X.-O. Depressive symptoms and their association with social determinants and chronic diseases in middle-aged and elderly Chinese people. Sci. Rep. 2018, 8, 3841. [Google Scholar] [CrossRef] [PubMed]
- Donato, G.B.; Fuchs, S.C.; Oppermann, K.; Bastos, C.; Spritzer, P.M. Association between menopause status and central adiposity measured at different cutoffs of waist circumference and waist-to-hip ratio. Menopause 2006, 13, 280–285. [Google Scholar] [CrossRef] [PubMed]
- Lizcano, F.; Guzmán, G. Estrogen deficiency and the origin of obesity during menopause. Biomed. Res. Int. 2014, 2014, 757461. [Google Scholar] [CrossRef] [PubMed]
- WHO; FAO. Diet, Nutrition and the Prevention of Chronic Diseases; WHO Technical report Series 916; WHO: Geneva, Switzerland, 2003. [Google Scholar]
- Lim, M.; Kim, J. Association between fruit and vegetable consumption and risk of metabolic syndrome determined using the Korean Genome and Epidemiology Study (KoGES). Eur. J. Nutr. 2020, 59, 1667–1678. [Google Scholar] [CrossRef] [PubMed]
- Du, H.; Van Der A, D.L.; Boshuizen, H.C.; Forouhi, N.; Wareham, N.J.; Halkjær, J.; Tjonneland, A.; Overvad, K.; Jakobsen, M.U.; Boeing, H.; et al. Dietary fiber and subsequent changes in body weight and waist circumference in European men and women. Am. J. Clin. Nutr. 2010, 91, 329–336. [Google Scholar] [CrossRef]
- Boeing, H.; Bechthold, A.; Bub, A.; Ellinger, S.; Haller, D.; Kroke, A.; Leschik-Bonnet, E.; Müller, M.J.; Oberritter, H.; Schulze, M.; et al. Critical review: Vegetables and fruit in the prevention of chronic diseases. Eur. J. Nutr. 2012, 51, 637–663. [Google Scholar] [CrossRef]
- Davis, S.R.; Castelo-Branco, C.; Chedraui, P.; Lumsden, M.A.; Nappi, R.E.; Shah, D.; Villaseca, P.; Writing Group of the International Menopause Society for World Menopause Day 2012. Understanding weight gain at menopause. Climacteric 2012, 15, 419–429. [Google Scholar] [CrossRef] [PubMed]
- Wang, Y.; Su, C.; Ouyang, Y.-F.; Jia, X.-F.; Zhang, B.; Wang, Z.-H.; Wang, H.-J. Secular trends in sedentary behaviors and associations with weight indicators among Chinese reproductive-age women from 2004 to 2015: Findings from the China Health and Nutrition Survey. Int. J. Obes. 2020, 44, 2267–2278. [Google Scholar] [CrossRef] [PubMed]
- Oosthuyse, T.; Bosch, A.N. The effect of the menstrual cycle on exercise metabolism: Implications for exercise performance in eumenorrhoeic women. Sports Med. 2010, 40, 207–227. [Google Scholar] [CrossRef] [PubMed]
- Tin Tin, S.; Reeves, G.K.; Key, T.J. Body size and composition, physical activity and sedentary time in relation to endogenous hormones in premenopausal and postmenopausal women: Findings from the UK Biobank. Int. J. Cancer 2020, 147, 2101–2115. [Google Scholar] [CrossRef] [PubMed]
- Shinoda, M.; Latour, M.G.; Lavoie, J.M. Effects of physical training on body composition and organ weights in ovariectomized and hyperestrogenic rats. Int. J. Obes. Relat. Metab. Disord. 2002, 26, 335–343. [Google Scholar] [CrossRef] [PubMed]
Characteristic | Number of Samples (n) | % |
---|---|---|
Age | ||
≤44 | 124 | 32.0 |
45–54 | 205 | 53.0 |
≥55 | 58 | 15.0 |
Marital Status | ||
Married | 379 | 97.8 |
Unmarried | 2 | 0.6 |
Divorced | 3 | 0.8 |
Widowed | 3 | 0.8 |
Education | ||
≤9 years | 308 | 79.8 |
>9 years | 78 | 20.2 |
Family Income | ||
≤3000 RMB | 220 | 57.0 |
>3000 RMB | 167 | 43.0 |
Occupation | ||
Farmer | 258 | 66.7 |
Factory worker | 44 | 11.4 |
Office worker | 62 | 16.0 |
Other | 23 | 5.9 |
Family members | ||
Living alone | 2 | 0.5 |
Core family | 247 | 64.2 |
Living with parents | 138 | 35.3 |
Drinking | ||
Often | 1 | 0.3 |
Seldom | 64 | 16.5 |
Never | 322 | 83.2 |
Smoking | ||
Yes | 11 | 2.8 |
No | 376 | 97.2 |
Family member smoking | ||
Yes | 275 | 71.9 |
No | 108 | 28.1 |
Missing | 4 | |
Medical history (Chronic illness) | ||
Yes | 142 | 36.6 |
No | 246 | 63.4 |
BMI | ||
≤23.9 | 228 | 59.2 |
24.0–27.9 | 130 | 33.8 |
≥28.0 | 27 | 7.0 |
Characteristic | Number of Samples (n) | % | WC | p Value | |
---|---|---|---|---|---|
% ≤79 cm | % ≥80 cm | ||||
Menopausal status | |||||
Pre-menopause | 183 | 47.4 | 57.4 | 42.6 | p = 0.00 |
Peri-menopause | 67 | 17.4 | 40.3 | 59.7 | |
Post-menopause | 137 | 35.2 | 36.8 | 63.2 | |
Have five servings of F/V intake/day | |||||
Yes | 214 | 55.2 | 51.9 | 48.1 | p = 0.04 |
No | 173 | 44.8 | 41.4 | 58.6 | |
Sedentary time more than 4 h/day | |||||
Yes | 233 | 60.2 | 49.8 | 50.2 | p = 0.25 |
No | 154 | 39.8 | 43.8 | 56.2 |
N (%) | Model 1 OR (95% CI) | Model 2 OR (95% CI) | Model 3 OR (95% CI) | Model 4 OR (95% CI) | |
---|---|---|---|---|---|
Menopausal status | |||||
Pre-menopause | 184 (47.5) | 1 | 1 | 1 | 1 |
Peri-menopause | 67 (17.3) | 2.013 * (1.140–3.577) | 2.093 * (1.141–3.841) | 2.107 * (1.146–3.872) | 2.045 * (1.109–3.376) |
Post-menopause | 136 (35.2) | 2.337 * (1.483–3.684) | 1.804 * (1.027–3.168) | 1.824 * (1.037–3.208) | 1.780 * (1.009–3.140) |
Five servings of F/V intake/day | |||||
Yes | 214 (55.3) | 1 | 1 | 1 | 1 |
No | 173 (44.7) | 1.527 * (1.020–2.286) | 1.593 * (1.041–2.437) | 1.545 * (1.005–2.376) | 1.540 * (1.001–2.370) |
Sedentary time | |||||
≤4 h | 233 (60.2) | 1 | 1 | 1 | 1 |
>4 h | 154 (39.8 | 1.251 (0.831–1.884) | 1.321 (0.860–2.029) | 1.340 (0.869–2.068) | 1.334 (0.863–2.064) |
N (%) | Model 1 OR (95% CI) | Model 2 OR (95% CI) | Model 3 OR (95% CI) | |
---|---|---|---|---|
Menopausal status and Five servings of F/V intake/day | ||||
Pre-menopause, No Five servings of F/V intake/day | 78 (20.2) | 1 | 1 | 1 |
Peri-menopause, No Five servings of F/V intake/day | 34 (8.8) | 1.458 (0.641–3.317) | 1.449 (0.612–3.429) | 1.427 (0.602–3.385) |
Post-menopause, No Five servings of F/V intake/day | 61 (15.8) | 1.600 (0.806–3.177) | 1.162 (0.531–2.543) | 1.169 (0.533–2.562) |
Pre-menopause, Five servings of F/V intake/day | 106 (27.4) | 0.484 * (0.266–0.880) | 0.461 * (0.246–0.863) | 0.456 * (0.243–0.856) |
Peri-menopause, Five servings of F/V intake/day | 33 (8.5) | 1.225 (0.539–2.784) | 1.241 (0.522–2.955) | 1.265 (0.531–3.016) |
Post-menopause, Five servings of F/V intake/day | 75 (19.4) | 1.515 (0.795–2.888) | 1.115 (0.525–2.370) | 1.122 (0.527–2.387) |
Menopausal status and Sedentary time | ||||
Pre-menopause, ≤4 h | 108 (27.9) | 1 | 1 | 1 |
Peri-menopause, ≤4 h | 41 (10.6) | 2.307 * (1.109–4.801) | 2.341 * (1.085–5.048) | 2.335 * (1.078–5.056) |
Post-menopause, ≤4 h | 86 (22.2) | 2.758 * (1.536–4.950) | 2.103 * (1.079–4.098) | 2.068 * (1.058–4.043) |
Pre-menopause, >4 h | 75 (19.4) | 1.508 (0.830–2.740) | 1.532 (0.827–2.838) | 1.542 (0.830–2.864) |
Peri-menopause, >4 h | 26 (6.7) | 2.615 * (1.084–6.307) | 2.843 * (1.136–7.112) | 2.672 (1.061–6.729) |
Post-menopause, >4 h | 51 (13.2) | 2.996 * (1.498–5.994) | 2.422 * (1.113–5.270) | 2.401 * (1.098–5.250) |
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Su, J.; Li, Q.; Mao, P.; Peng, H.; Han, H.; Wiley, J.; Guo, J.; Chen, J.-L. Does the Association of Sedentary Time or Fruit/Vegetable Intake with Central Obesity Depend on Menopausal Status among Women? Int. J. Environ. Res. Public Health 2022, 19, 10083. https://doi.org/10.3390/ijerph191610083
Su J, Li Q, Mao P, Peng H, Han H, Wiley J, Guo J, Chen J-L. Does the Association of Sedentary Time or Fruit/Vegetable Intake with Central Obesity Depend on Menopausal Status among Women? International Journal of Environmental Research and Public Health. 2022; 19(16):10083. https://doi.org/10.3390/ijerph191610083
Chicago/Turabian StyleSu, Jing, Qingting Li, Ping Mao, Hua Peng, Huiwu Han, James Wiley, Jia Guo, and Jyu-Lin Chen. 2022. "Does the Association of Sedentary Time or Fruit/Vegetable Intake with Central Obesity Depend on Menopausal Status among Women?" International Journal of Environmental Research and Public Health 19, no. 16: 10083. https://doi.org/10.3390/ijerph191610083
APA StyleSu, J., Li, Q., Mao, P., Peng, H., Han, H., Wiley, J., Guo, J., & Chen, J.-L. (2022). Does the Association of Sedentary Time or Fruit/Vegetable Intake with Central Obesity Depend on Menopausal Status among Women? International Journal of Environmental Research and Public Health, 19(16), 10083. https://doi.org/10.3390/ijerph191610083