Age and Sex-Related Associations between Marital Status, Physical Activity and TV Time
Abstract
1. Introduction
2. Materials and Methods
2.1. Sample
2.2. Physical Activity and TV Time
2.3. Covariates
2.4. Statistical Analysis
3. Results
4. Discussion
- (a)
- TV time > 3 h/day was more prevalent in younger men and in older women;
- (b)
- The prevalence of PA > 150 min/week decreased with age, and in general, men were more active than women;
- (c)
- married men and women had lower odds of watching TV > 3 h/day than single and divorced ones in most age groups, especially women;
- (d)
- married men and women in younger age groups were less likely to practice PA for more than 150 min/week levels than single ones, but among those older than 40, married women had higher odds of meeting PA levels than single ones;
- (e)
- married women had higher chances of practicing PA > 150 min/week than divorced ones in most age groups, while middle aged (41–70 years) married men had higher chances of practicing PA > 150 min/week than divorced middle-aged men.
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
Appendix A
Year | Telephone Landlines | Interviews | |||
---|---|---|---|---|---|
Drawn | Eligible | Total | Men | Women | |
2009 | 118,200 | 71,081 | 54,367 | 21,347 | 33,020 |
2010 | 126,600 | 71,082 | 54,339 | 20,764 | 33,575 |
2011 | 111,200 | 80,470 | 54,144 | 20,641 | 31,503 |
2012 | 115,418 | 70,045 | 45,488 | 17,389 | 28,059 |
2013 | 112,600 | 74,005 | 52,929 | 20,272 | 32,653 |
2014 | 101,200 | 62,786 | 40,853 | 15,521 | 25,332 |
2015 | 116,000 | 76,703 | 54,174 | 20,368 | 32,653 |
2016 | 127,200 | 77,671 | 53,210 | 20,258 | 32,952 |
2017 | 125,400 | 75,545 | 53,034 | 19,504 | 33,530 |
2018 | 172,800 | 73,648 | 52,395 | 19,039 | 33,356 |
2019 | 197,600 | 75,789 | 52,443 | 18,354 | 34,089 |
Total | 1,424,218 | 808,825 | 567,376 | 213,457 | 350,722 |
All | Men | Women | ||||
---|---|---|---|---|---|---|
% | 95% CI | % | 95% CI | % | 95% CI | |
Obese | 17.8 | (17.6; 18.0) | 17.2 | (16.9; 17.6) | 18.3 | (18.0; 18.5) |
Smoker | 11.4 | (11.2; 11.6) | 14.2 | (13.9; 14.6) | 9.0 | (8.8; 9.2) |
Hypertensive | 24.7 | (24.7; 24.9) | 21.9 | (21.6; 22.3) | 27.0 | (26.7; 27.3) |
Diabetic | 7.3 | (7.2; 7.5) | 6.7 | (6.5; 6.9) | 7.9 | (7.7; 8.0) |
PSE Health * | 4.6 | (4.5; 4.7) | 3.3 | (3.1; 3.4) | 5.8 | (5.6; 5.9) |
Age | Marital Status | TV > 3 h/d | PA > 150 min/Week | ||
---|---|---|---|---|---|
Men | Women | Men | Women | ||
18–30 1 | Married | 1.00 (0.88; 1.14) | 0.99 (0.89; 1.10) | 0.59 (0.53; 0.66) * | 0.74 (0.67; 0.81) * |
Divorced | 1.55 (1.33; 1.81) * | 1.45 (1.29; 1.62) * | 0.62 (0.54; 0.71) * | 0.59 (0.52; 0.66) * | |
31–40 | Married | 0.79 (0.71; 0.88) * | 0.75 (0.69; 0.82) * | 0.79 (0.72; 0.87) * | 0.93 (0.86; 1.00) |
Divorced | 1.09 (0.94; 1.25) | 1.04 (0.92; 1.17) | 0.77 (0.67; 0.87) * | 0.84 (0.75; 0.94) * | |
Widower | 1.77 (0.83; 3.76) | 1.02 (0.71; 1.47) | 0.57 (0.26; 1.29) | 1.25 (0.90; 1.75) | |
41–50 | Married | 0.66 (0.58; 0.75) * | 0.68 (0.62; 0.75) * | 0.98 (0.88; 1.09) | 1.29 (1.18; 1.40) * |
Divorced | 0.71 (0.60; 0.84) * | 0.95 (0.84; 1.08) | 0.86 (0.75; 0.99) * | 1.06 (0.94; 1.20) | |
Widower | 0.67 (0.41; 1.11) | 1.14 (0.93; 1.40) | 0.61 (0.37; 0.98) * | 1.10 (0.89; 1.38) | |
51–60 | Married | 0.80 (0.69; 0.93) * | 0.66 (0.60; 0.73) * | 0.93 (0.80; 1.07) | 1.36 (1.24; 1.49) * |
Divorced | 0.90 (0.74; 1.10) | 0.81 (0.71; 0.94) * | 0.75 (0.62; 0.90) * | 1.20 (1.04; 1.39) * | |
Widower | 1.12 (0.76; 1.65) | 0.95 (0.83; 1.09) | 0.70 (0.49; 1.01) | 1.10 (0.96; 1.26) | |
61–70 | Married | 0.73 (0.58; 0.92) * | 0.65 (0.58; 0.73) * | 0.98 (0.81; 1.19) | 1.44 (1.29; 1.60) * |
Divorced | 0.96 (0.72; 1.29) | 0.82 (0.68; 1.00) | 0.79 (0.61; 1.02) | 1.19 (0.97; 1.46) | |
Widower | 0.96 (0.68; 1.35) | 0.88 (0.78; 0.99) * | 1.08 (0.80; 1.45) | 1.15 (1.02; 1.30) * | |
71–80 | Married | 1.00 (0.72; 1.38) | 0.84 (0.73; 0.98) * | 1.28 (0.90; 1.82) | 1.36 (1.15; 1.61) * |
Divorced | 1.15 (0.74; 1.80) | 0.92 (0.66; 1.28) | 0.98 (0.64; 1.51) | 0.95 (0.66; 1.37) | |
Widower | 1.15 (0.78; 1.69) | 1.07 (0.93; 1.23) | 1.08 (0.71; 1.64) | 1.17 (0.99; 1.38) | |
80+ | Married | 0.83 (0.41; 1.67) | 0.59 (0.45; 0.79) * | 1.16 (0.59; 2.27) | 0.91 (0.61; 1.36) |
Divorced | 0.83 (0.36; 1.91) | 0.93 (0.49; 1.76) | 1.11 (0.48; 2.55) | 0.83 (0.34; 2.05) | |
Widower | 0.80 (0.39; 1.63) | 1.01 (0.80; 1.26) | 1.26 (0.62; 2.59) | 0.75 (0.53; 1.07) |
Age | Marital Status | TV > 3 h/d | PA > 150 min/Week | ||
---|---|---|---|---|---|
Men | Women | Men | Women | ||
18–30 1 | Single | 0.65 (0.55; 0.75) * | 0.69 (0.62; 0.78) * | 1.62 (1.41; 1.87) * | 1.71 (1.52; 1.92) * |
Married | 0.65 (0.53; 0.78) * | 0.69 (0.60; 0.79) * | 0.96 (0.81; 1.14) | 1.26 (1.09; 1.45) * | |
31–40 | Single | 0.92 (0.80; 1.06) | 0.96 (0.86; 1.08) | 1.31 (1.15; 1.48) * | 1.20 (1.07; 1.34) * |
Married | 0.73 (0.63; 0.84) * | 0.72 (0.64; 0.82) * | 1.03 (0.91; 1.17) | 1.11 (0.99; 1.24) | |
Widower | 1.63 (0.76; 3.48) | 0.98 (0.68; 1.43) | 0.75 (0.33; 1.69) | 1.50 (1.06; 2.11) * | |
41–50 | Single | 1.40 (1.19; 1.65) * | 1.05 (0.93; 1.20) | 1.16 (1.01; 1.34) * | 0.94 (0.83; 1.06) |
Married | 0.93 (0.80; 1.07) | 0.71 (0.63; 0.81) * | 1.14 (1.01; 1.28) * | 1.21 (1.08; 1.35) * | |
Widower | 0.94 (0.57; 1.57) | 1.20 (0.97; 1.49) | 0.70 (0.43; 1.14) | 1.04 (0.82; 1.31) | |
51–60 | Single | 1.11 (0.91; 1.35) | 1.23 (1.06; 1.42) * | 1.34 (1.11; 1.61) * | 0.83 (0.72; 0.96) * |
Married | 0.88 (0.75; 1.03) | 0.81 (0.71; 0.93) * | 1.24 (1.07; 1.42) * | 1.13 (0.99; 1.30) | |
Widower | 1.24 (0.84; 1.83) | 1.17 (0.99; 1.38) | 0.94 (0.65; 1.34) | 0.91 (0.77; 1.08) | |
61–70 | Single | 1.04 (0.77; 1.39) | 1.22 (1.00; 1.48) | 1.27 (0.98; 1.64) | 0.84 (0.69; 1.04) |
Married | 0.76 (0.61; 0.93) * | 0.79 (0.66; 0.95) * | 1.24 (1.03; 1.50) * | 1.21 (1.00; 1.47) | |
Widower | 0.99 (0.71; 1.38) | 1.07 (0.88; 1.29) | 1.37 (1.02; 1.84) * | 0.97 (0.80; 1.19) | |
71–80 | Single | 0.87 (0.56; 1.36) | 1.22 (1.00; 1.48) | 1.02 (0.66; 1.57) | 1.06 (0.73; 1.53) |
Married | 0.87 (0.62; 1.20) | 0.79 (0.66; 0.95) * | 1.30 (0.99; 1.71) | 1.44 (1.01; 2.04) * | |
Widower | 1.00 (0.68; 1.48) | 1.07 (0.88; 1.29) | 1.10 (0.78; 1.57) | 1.24 (0.87; 1.75) | |
80+ | Single | 1.20 (0.52; 2.77) | 1.09 (0.78; 1.51) | 0.91 (0.39; 2.09) | 1.20 (0.49; 2.95) |
Married | 1.00 (0.60; 1.66) | 0.92 (0.67; 1.26) | 1.05 (0.61; 1.81) | 1.09 (0.46; 2.59) | |
Widower | 0.96 (0.56; 1.64) | 1.17 (0.85; 1.60) | 1.14 (0.62; 2.10) | 0.90 (0.39; 2.09) |
References
- Pedersen, B.K.; Saltin, B. Exercise as medicine—Evidence for prescribing exercise as therapy in 26 different chronic diseases. Scand. J. Med. Sci. Sport. 2015, 25, 1–72. [Google Scholar] [CrossRef] [PubMed]
- De Rezende, L.F.M.; Lopes, M.R.; Rey-López, J.P.; Matsudo, V.K.R.; Luiz, O.D.C. Sedentary behavior and health outcomes: An overview of systematic reviews. PLoS ONE 2014, 9. [Google Scholar] [CrossRef] [PubMed]
- Bull, F.; Al-Ansari, S.; Biddle, S.; Borodulin, K.; Buman, M.; Cardon, G.; Carty, C.; Chaput, J.-P.; Chastin, S.; Chou, R.; et al. World Health Organization 2020 Guidelines on Physical Activity and Sedentary Behaviour. Br. J. Sports Med. 2020, 54, 1451–1462. [Google Scholar] [CrossRef] [PubMed]
- Bauman, A.E.; Reis, R.S.; Sallis, J.F.; Wells, J.C.; Loos, R.J.F.; Martin, B.W.; Alkandari, J.R.; Andersen, L.B.; Blair, S.N.; Brownson, R.C.; et al. Correlates of physical activity: Why are some people physically active and others not? Lancet 2012, 380, 258–271. [Google Scholar] [CrossRef]
- Robards, J.; Evandrou, M.; Falkingham, J.; Vlachantoni, A. Marital status, health and mortality. Maturitas 2012, 73, 295–299. [Google Scholar] [CrossRef]
- Kyung-Sook, W.; SangSoo, S.; Sangjin, S.; Young-Jeon, S. Marital status integration and suicide: A meta-analysis and meta-regression. Soc. Sci. Med. 2018, 197, 116–126. [Google Scholar] [CrossRef]
- Kim, A.; Lee, J.A.; Park, H.S. Health behaviors and illness according to marital status in middle-aged Koreans. J. Public Health 2018, 40, e99–e106. [Google Scholar] [CrossRef]
- Roelfs, D.J.; Shor, E.; Kalish, R.; Yogev, T. The rising relative risk of mortality for singles: Meta-analysis and meta-regression. Am. J. Epidemiol. 2011, 174, 379–389. [Google Scholar] [CrossRef]
- Salvatore, J.E.; Gardner, C.O.; Kendler, K.S. Marriage and reductions in men’s alcohol, tobacco, and cannabis use. Psychol. Med. 2020, 50, 2634–2640. [Google Scholar] [CrossRef]
- Joung, I.M.A.; Van De Mheen, H.D.; Stronks, K.; Van Poppel, F.W.A.; Mackenbach, J.P. A longitudinal study of health selection in marital transitions. Soc. Sci. Med. 1998, 46, 425–435. [Google Scholar] [CrossRef]
- Ortega, F.B.; Brown, W.J.; Lee, D.C.; Baruth, M.; Sui, X.; Blair, S.N. In fitness and health? A prospective study of changes in marital status and fitness in men and women. Am. J. Epidemiol. 2011, 173, 337–344. [Google Scholar] [CrossRef] [PubMed]
- Ferreira, A.P.d.S.; Szwarcwald, C.L.; Damacena, G.N. Prevalence of obesity and associated factors in the Brazilian population: A study of data from the 2013 National Health Survey. Braz. J. Epidemiol. 2019, 22, e190024. [Google Scholar] [CrossRef]
- Guthold, R.; Stevens, G.A.; Riley, L.M.; Bull, F.C. Worldwide trends in insufficient physical activity from 2001 to 2016: A pooled analysis of 358 population-based surveys with 1·9 million participants. Lancet Glob. Heal. 2018, 6, E1077–E1086. [Google Scholar] [CrossRef]
- Hansen, B.H.; Kolle, E.; Dyrstad, S.M.; Holme, I.; Anderssen, S.A. Accelerometer-Determined Physical Activity in Adults and Older People. Med. Sci. Sports Exerc. 2012, 44, 266–272. [Google Scholar] [CrossRef] [PubMed]
- Rocha, B.M.C.; Goldbaum, M.; César, C.L.G.; Stopa, S.R. Sedentary behavior in the city of São Paulo, Brazil: ISA-Capital 2015. Rev. Bras. Epidemiol. 2019, 22, E190050. [Google Scholar] [CrossRef]
- O’Donoghue, G.; Perchoux, C.; Mensah, K.; Lakerveld, J.; Van Der Ploeg, H.; Bernaards, C.; Chastin, S.F.M.; Simon, C.; O’Gorman, D.; Nazare, J.A. A systematic review of correlates of sedentary behaviour in adults aged 18–65 years: A socio-ecological approach. BMC Public Health 2016, 16. [Google Scholar] [CrossRef]
- Rhodes, R.E.; Janssen, I.; Bredin, S.S.D.; Warburton, D.E.R.; Bauman, A. Physical activity: Health impact, prevalence, correlates and interventions. Psychol. Health 2017, 32, 942–975. [Google Scholar] [CrossRef]
- Choi, J.; Lee, M.; Lee, J.K.; Kang, D.; Choi, J.Y. Correlates associated with participation in physical activity among adults: A systematic review of reviews and update. BMC Public Health 2017, 17, 356. [Google Scholar] [CrossRef]
- Ministério da Saúde. Vigitel Brasil 2019: Vigilância de Fatores de Risco e Proteção Para Doenças Crônicas por Inquérito Telefônico [Internet]; Ministério da Saúde: Brasília, BF, Brazil, 2020. [Google Scholar]
- Moreira, A.D.; Claro, R.M.; Felisbino-Mendes, M.S.; Velasquez-Melendez, G. Validity and reliability of a telephone survey of physical activity in Brazil. Rev. Bras. Epidemiol. 2017, 20, 136–146. [Google Scholar] [CrossRef]
- Monteiro, C.A.; Florindo, A.A.; Claro, R.M.; Moura, E.C. Validity of indicators of physical activity and sedentariness obtained by telephone survey. Rev. Saude Publica 2008, 42, 575–581. [Google Scholar] [CrossRef][Green Version]
- Bernal, R.T.I.; Iser, B.P.M.; Malta, D.C.; Claro, R.M. Surveillance System for Risk and Protective Factors for Chronic Diseases by Telephone Survey (Vigitel): Changes in weighting methodology. Epidemiol. Serv. Saude Rev. Sist. Unico Saude Bras. 2017, 26, 701–712. [Google Scholar] [CrossRef]
- Lwanga, S.K.; Lemeshow, S.; World Health Organization. Sample Size Determination in Health Studies: A Practical Manual; World Health Organization: Geneva, Switzerland, 1991; ISBN 9241544058. [Google Scholar]
- World Health Organization. Physical Status: The Use and Interpretation of Anthropometry; World Health Organization: Geneva, Switzerland, 1995. [Google Scholar]
- Condello, G.; Puggina, A.; Aleksovska, K.; Buck, C.; Burns, C.; Cardon, G.; Carlin, A.; Simon, C.; Ciarapica, D.; Coppinger, T.; et al. Behavioral determinants of physical activity across the life course: A “DEterminants of DIet and Physical ACtivity” (DEDIPAC) umbrella systematic literature review. Int. J. Behav. Nutr. Phys. Act. 2017, 14, 58–78. [Google Scholar] [CrossRef]
- Cortis, C.; Puggina, A.; Pesce, C.; Aleksovska, K.; Buck, C.; Burns, C.; Cardon, G.; Carlin, A.; Simon, C.; Ciarapica, D.; et al. Psychological determinants of physical activity across the life course: A “DEterminants of DIet and Physical ACtivity” (DEDIPAC) umbrella systematic literature review. PLoS ONE 2017, 12, e0182709. [Google Scholar] [CrossRef]
- Ekelund, U.; Steene-Johannessen, J.; Brown, W.J.; Fagerland, M.W.; Owen, N.; Powell, K.E.; Bauman, A.; Lee, I.M.; Ding, D.; Heath, G.; et al. Does physical activity attenuate, or even eliminate, the detrimental association of sitting time with mortality? A harmonised meta-analysis of data from more than 1 million men and women. Lancet 2016, 388, 1302–1310. [Google Scholar] [CrossRef]
- Tremblay, M.S.; Colley, R.C.; Saunders, T.J.; Healy, G.N.; Owen, N. Physiological and health implications of a sedentary lifestyle. Appl. Physiol. Nutr. Metab. 2010, 35, 725–740. [Google Scholar] [CrossRef]
- Gianoudis, J.; Bailey, C.A.; Daly, R.M. Associations between sedentary behaviour and body composition, muscle function and sarcopenia in community-dwelling older adults. Osteoporos. Int. 2014, 26, 571–579. [Google Scholar] [CrossRef]
- Biddle, S.J.H.; Bengoechea García, E.; Pedisic, Z.; Bennie, J.; Vergeer, I.; Wiesner, G. Screen Time, Other Sedentary Behaviours, and Obesity Risk in Adults: A Review of Reviews. Curr. Obes. Rep. 2017, 6, 134–147. [Google Scholar] [CrossRef]
- Nathanson, A.I.; Perse, E.M.; Ferguson, D.A. Gender differences in television use: An exploration of the instrumental-expressive dichotomy. Commun. Res. Reports 1997, 14, 176–188. [Google Scholar] [CrossRef]
- United Nations World Population Prospects 2019. Available online: https://population.un.org/wpp2019/Download/Standard/Interpolated/ (accessed on 21 December 2020).
- Rech, C.R.; Reis, R.S.; Hino, A.A.F.; Hallal, P.C. Personal, social and environmental correlates of physical activity in adults from Curitiba, Brazil. Prev. Med. 2014, 58, 53–57. [Google Scholar] [CrossRef] [PubMed]
- Rosenfeld, C.S. Sex-dependent differences in voluntary physical activity. J. Neurosci. Res. 2017, 95, 279–290. [Google Scholar] [CrossRef] [PubMed]
- Stamatakis, E.; Gale, J.; Bauman, A.; Ekelund, U.; Hamer, M.; Ding, D. Sitting Time, Physical Activity, and Risk of Mortality in Adults. J. Am. Coll. Cardiol. 2019, 73, 2062–2072. [Google Scholar] [CrossRef]
- Warburton, D.E.R.; Bredin, S.S.D. Health benefits of physical activity: A systematic review of current systematic reviews. Curr. Opin. Cardiol. 2017, 32, 541–556. [Google Scholar] [CrossRef] [PubMed]
- Uhr, D.d.A.P.; Ely, R.A.; Cardoso, R.P.; Uhr, J.G.Z. Allocation of time between genders and the labor market: An analysis between Married and single to Brazil. Nov. Econ. 2019, 29, 1041–1063. [Google Scholar] [CrossRef]
- Sallis, J.F.; Bull, F.; Guthold, R.; Heath, G.W.; Inoue, S.; Kelly, P.; Oyeyemi, A.L.; Perez, L.G.; Richards, J.; Hallal, P.C. Progress in physical activity over the Olympic quadrennium. Lancet 2016, 388, 1325–1336. [Google Scholar] [CrossRef]
- Guthold, R.; Louazani, S.A.; Riley, L.M.; Cowan, M.J.; Bovet, P.; Damasceno, A.; Sambo, B.H.; Tesfaye, F.; Armstrong, T.P. Physical activity in 22 African countries: Results from the world health organization STEPwise approach to chronic disease risk factor surveillance. Am. J. Prev. Med. 2011, 41, 52–60. [Google Scholar] [CrossRef] [PubMed]
- Werneck, A.O.; Baldew, S.S.; Miranda, J.J.; Díaz Arnesto, O.; Stubbs, B.; Silva, D.R. Physical activity and sedentary behavior patterns and sociodemographic correlates in 116,982 adults from six South American countries: The South American physical activity and sedentary behavior network (SAPASEN). Int. J. Behav. Nutr. Phys. Act. 2019, 16, 68. [Google Scholar] [CrossRef]
- Stalsberg, R.; Pedersen, A.V. Are differences in physical activity across socioeconomic groups associated with choice of physical activity variables to report? Int. J. Environ. Res. Public Health 2018, 15, 922. [Google Scholar] [CrossRef]
All (n = 561,837) | Men (n = 212,440) | Women (n = 349,397) | |
---|---|---|---|
TV > 3 h/day | 25.2 (25.0; 25.4) | 25.1 (24.7; 25.5) | 25.2 (24.9; 25.6) |
PA > 150 min/week | 35.0 (34.7; 35.3) | 43.0 (42.5; 43.4) * | 28.2 (27.9; 28.5) |
Age | |||
18–30 | 31.5 (31.3; 31.8) | 35.1 (34.7; 35.6) * | 28.5 (28.1; 28.8) |
31–40 | 21.4 (21.1; 21.6) | 21.2 (20.8; 21.6) | 21.5 (21.2; 21.8) |
41–50 | 17.8 (17.6; 18.0) | 17.3 (17; 17.6) | 18.3 (18; 18.5) * |
51–60 | 14.5 (14.3; 14.6) | 13.6 (13.3; 13.9) | 15.2 (15; 15.5) * |
61–70 | 8.6 (8.5; 8.7) | 7.8 (7.6; 8.0) | 9.4 (9.2; 9.5) * |
71–80 | 4.5 (4.5; 4.6) | 3.9 (3.7; 4.0) | 5.1 (5; 5.2) * |
80+ | 1.6 (1.5; 1.7) | 1.2 (1.1; 1.3) | 2.0 (1.9; 2.1) * |
Marital Status | |||
Single | 39.8 (39.6; 40.1) | 42.1 (41.6; 42.5) * | 37.9 (37.6; 38.3) |
Married | 38.5 (38.2; 38.8) | 40.5 (40.1; 41.0) * | 36.7 (36.4; 37.1) |
Divorced | 10.8 (10.6; 11) | 11.7 (11.4; 12.0) * | 10.0 (9.8; 10.3) |
Widower | 5.2 (5.1; 5.2) | 1.5 (1.4; 1.6) | 8.3 (8.1; 8.4) * |
No reply | 5.7 (5.6; 5.9) | 4.2 (4.0; 4.4) | 7 (6.9; 7.2) * |
TV > 3 h/Day | PA > 150 min/Week | |||
---|---|---|---|---|
Men | Women | Men | Women | |
Age | ||||
18–30 | 23.8 (23.0; 24.5) | 24.7 (24.0; 25.3) | 58.6 (57.8; 59.4) * | 32.3 (31.6; 33.0) |
31–40 | 26.2 (25.3; 27.1) * | 21.5 (20.9; 22.2) | 42.7 (41.7; 43.8) * | 29.1 (28.4; 29.8) |
41–50 | 24.8 (23.9; 25.7) * | 21.9 (21.2; 22.5) | 32.4 (31.5; 33.3) * | 27.3 (26.6; 27.9) |
51–60 | 25.7 (24.8; 26.7) | 26.8 (26.1; 27.5) | 29.9 (28.9; 30.8) * | 27.7 (27.0; 28.4) |
61–70 | 26.2 (25.1; 27.4) | 32.1 (31.2; 32.9) * | 30.3 (29.3; 31.5) * | 24.9 (24.2; 25.6) |
71–80 | 28.2 (26.7; 29.8) | 34.5 (33.5; 35.5) * | 27.7 (26.3; 29.1) * | 19.0 (18.2; 19.8) |
80+ | 27.9 (25.3; 30.6) | 37.1 (35.4; 38.7) * | 22.0 (19.8; 24.4) * | 12.6 (11.6; 13.7) |
Marital Status | ||||
Single | 24.9 (24.2; 25.5) | 25.2 (24.7; 25.7) | 54.4 (53.7; 55.1) * | 30.9 (30.4; 31.5) |
Married | 23.8 (23.3; 24.4) * | 22.2 (21.7; 22.7) | 34.3 (33.7; 34.9) * | 28.1 (27.7; 28.6) |
Divorced | 29.1 (27.8; 30.4) | 27.8 (26.8; 28.8) | 35.1 (33.8; 36.4) * | 24.7 (23.7; 25.6) |
Widower | 31.0 (28.2; 33.9) | 34.8 (33.9; 35.7) | 26.0 (23.6; 28.6) * | 20.4 (19.7; 21.2) |
No reply | 27.3 (25.4; 29.4) | 26.5 (25.5; 27.6) | 40.1 (38.0; 42.3) * | 27.9 (27; 28.9) |
Age | Reference Group | TV > 3 h/d | PA > 150 min/Week | ||
---|---|---|---|---|---|
Men | Women | Men | Women | ||
18–30 | Single | 1.00 (0.88; 1.14) | 0.99 (0.89; 1.10) | 0.59 (0.53; 0.66) * | 0.74 (0.67; 0.81) * |
Divorced | 0.65 (0.53; 0.78) * | 0.69 (0.60; 0.79) * | 0.96 (0.81; 1.14) | 1.26 (1.09; 1.45) * | |
31–40 | Single | 0.79 (0.71; 0.88) * | 0.75 (0.69; 0.82) * | 0.79 (0.72; 0.87) * | 0.93 (0.86; 1.00) |
Divorced | 0.73 (0.63; 0.84) * | 0.72 (0.64; 0.82) * | 1.03 (0.91; 1.17) | 1.11 (0.99; 1.24) | |
41–50 | Single | 0.66 (0.58; 0.75) * | 0.68 (0.62; 0.75) * | 0.98 (0.88; 1.09) | 1.29 (1.18; 1.40) * |
Divorced | 0.93 (0.80; 1.07) | 0.71 (0.63; 0.81) * | 1.14 (1.01; 1.28) * | 1.21 (1.08; 1.35) * | |
51–60 | Single | 0.80 (0.69; 0.93) * | 0.66 (0.60; 0.73) * | 0.93 (0.80; 1.07) | 1.36 (1.24; 1.49) * |
Divorced | 0.88 (0.75; 1.03) | 0.81 (0.71; 0.93) * | 1.24 (1.07; 1.42) * | 1.13 (0.99; 1.30) | |
61–70 | Single | 0.73 (0.58; 0.92) * | 0.65 (0.58; 0.73) * | 0.98 (0.81; 1.19) | 1.44 (1.29; 1.60) * |
Divorced | 0.76 (0.61; 0.93) * | 0.79 (0.66; 0.95) * | 1.24 (1.03; 1.50) * | 1.21 (1.00; 1.47) * | |
71–80 | Single | 1.00 (0.72; 1.38) | 0.84 (0.73; 0.98) * | 1.28 (0.90; 1.82) | 1.36 (1.15; 1.61) * |
Divorced | 0.87 (0.62; 1.20) | 0.79 (0.66; 0.95) * | 1.30 (0.99; 1.71) | 1.44 (1.01; 2.04) * | |
80+ | Single | 0.83 (0.41; 1.67) | 0.59 (0.45; 0.79) * | 1.16 (0.59; 2.27) | 0.91 (0.61; 1.36) |
Divorced | 1.00 (0.60; 1.66) | 0.92 (0.67; 1.26) | 1.05 (0.61; 1.81) | 1.09 (0.46; 2.59) |
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. |
© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
Cavazzotto, T.G.; de Lima Stavinski, N.G.; Queiroga, M.R.; da Silva, M.P.; Cyrino, E.S.; Serassuelo Junior, H.; Vieira, E.R. Age and Sex-Related Associations between Marital Status, Physical Activity and TV Time. Int. J. Environ. Res. Public Health 2022, 19, 502. https://doi.org/10.3390/ijerph19010502
Cavazzotto TG, de Lima Stavinski NG, Queiroga MR, da Silva MP, Cyrino ES, Serassuelo Junior H, Vieira ER. Age and Sex-Related Associations between Marital Status, Physical Activity and TV Time. International Journal of Environmental Research and Public Health. 2022; 19(1):502. https://doi.org/10.3390/ijerph19010502
Chicago/Turabian StyleCavazzotto, Timothy Gustavo, Natã Gomes de Lima Stavinski, Marcos Roberto Queiroga, Michael Pereira da Silva, Edilson Serpeloni Cyrino, Helio Serassuelo Junior, and Edgar Ramos Vieira. 2022. "Age and Sex-Related Associations between Marital Status, Physical Activity and TV Time" International Journal of Environmental Research and Public Health 19, no. 1: 502. https://doi.org/10.3390/ijerph19010502
APA StyleCavazzotto, T. G., de Lima Stavinski, N. G., Queiroga, M. R., da Silva, M. P., Cyrino, E. S., Serassuelo Junior, H., & Vieira, E. R. (2022). Age and Sex-Related Associations between Marital Status, Physical Activity and TV Time. International Journal of Environmental Research and Public Health, 19(1), 502. https://doi.org/10.3390/ijerph19010502